Discussing AI First Company and AI First mentality with Ash Fontana. He sheds light on how organizations could embrace analytics, data and AI to retain competitive edge.

Bio: Ash Fontana became one of the most recognized startup investors in the world after launching online investing at AngelList. He then became a Managing Director of Zetta, the first investment fund that focused on AI. The firm was the lead investor in category-defining AI companies such as Kaggle, Domino, Tractable, Lilt and Invenia. He has appeared in Fast Company, Bloomberg, Forbes, CNBC and at the UN. This is his first book.

Ash's Book: The AI-First Company: How to Compete and Win with Artificial Intelligence by Ash Fontana https://amzn.to/33C2OL5

Ash's Recommendations: On Intelligence: How a New Understanding of the Brain Will Lead to the Creation of Truly Intelligent Machines by Jeff Hawkins, Sandra Blakeslee https://amzn.to/3vZhksk Neurophilosophy: Toward a Unified Science of the Mind-Brain by Patricia S. Churchland https://amzn.to/2RiKrYO

Discussion Timeline: TIMELINE

Some questions we covered: 1. Starter: Give your starter pitch 1 point that this book points to: 2. Vishal briefly introduce guest

Stage 2: Subject Matter Expertise 3. What is the state of startups today? 4. State of AI in mature organization? 5. AI and Enterprise outlook? Cautionary tale or hopeful story 6. Who will win the AI race? 7. Challenges in AI adoption?

Stage 3: Introduction as an author 8. What is an AI-First company? 9. Why write AI-First? 10. Why does every company need to prioritize AI over the next decade? 11. What are the most common mistakes companies make when trying to become AI-First? 12. What’s the difference between “lean-startup” and “lean AI”? 14. How do AI-First companies retain more of the “first mover” advantage than others? 15. AI + Business, will make it more science or art? 16. Can AI be a competitive edge

Stage 4: Rapid Fire with Ben Pring [Say what comes to your mind] 17 a. #MachineLearning 17 b. #Technology 17 c. #Leadership 17 d. #FutureOfWork 17 e. #Culture 17 f. #DigitalTransformation 17 g. #Disruption 17 h. #JobsOfFuture 17 i. #FutureofStartup 17 j. #FutureofOrganization 17 k. #AIFirst

Stage 5: Closing 18. What are 1-3 best practices that you think are the key to success in your journey? 19. Do you have any favorite read? 20. As a closing remark, what would you like to tell our audience?

About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai

About FutureOfData: FutureOfData takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of data, analytics, and insights.

About AnalyticsWeek.com FutureOfData is managed by AnalyticsWeek.com, a #FutureOfData Leadership community of Organization architects and leaders.

Sponsorship / Guest Request should be directed to [email protected]

Keywords:

FutureofData #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2

Discussing #FutureOfData & Growth with Jeff Kavanaugh. Jeff discussed the importance and tenets of a live evolving organizations. He shared some tips and tricks that businesses could do to ensure they are evolving for faster and agile growth through the age of transformation.

Jeff Kavanaugh is global head for the Infosys Knowledge Institute, the research and thought leadership arm of Infosys, a leader in digital services and consulting. Jeff is also an adjunct professor at the business school at the University of Texas at Dallas. He authored the best-selling book Consulting Essentials, and serves on boards of the Institute of Business Analytics at Indiana University, and the Marketing Analytics Advisory Board at the University of Texas at Dallas. Jeff earned an MBA from the University of North Texas.

Jeff's Book: The Live Enterprise: Create a Continuously Evolving and Learning Organization https://amzn.to/3pYJFMd

Jeff's Recommendations: Contact https://amzn.to/37LvGmB The Nature of Nature: Why We Need the Wild https://amzn.to/37J3PTM Longitude https://amzn.to/3buTEDC Endurance https://amzn.to/3by5hK1

Discussion Timeline: TIMELINE

Some questions we covered: 1. Starter: Give your starter pitch 1-2 points/key takeaways that this book points to: 2. Vishal briefly introduce the guest and kicks off the session 3. What is the state of organizations today? 4. How to steer an organization when external forces influence your internals [pandemic etc.] 5. What are some good habits you surfaced for a constantly evolving organization 6. What are some signs that you are steering in the wrong direction? 7. Explain your journey to your current role? 8. Could you share something about your current role? 9. What does your company do? 10. Explain your journey to this book? 11. Why write this book? 12. What are key takeaways in Live Enterprise 13. What are some role model companies pursuing the Live Enterprise model 14. What are the key drivers of a live enterprise 15. How to get started on this journey of making your organization live and adapting? 16. What are some misconceptions your want to un-surface? 17. What are 1-3 best practices that you think are the key to success in your journey? 18. Do you have any favorite read? 19. As a closing remark, what would you like to tell our audience?

About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai

About FutureOfData: FutureOfData takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of data, analytics, and insights.

About AnalyticsWeek.com FutureOfData is managed by AnalyticsWeek.com, a #FutureOfData Leadership community of Organization architects and leaders.

Sponsorship / Guest Request should be directed to [email protected]

Keywords:

FutureofData #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2

Discussing Data, Innovation, and Creativity with Josh Linkner talks about using little creativity spurts to use for disruption. He sheds light on how organizations could embrace creativity and use little creative innovation to help stir for big breakthroughs. She shared lots of example of big little breakthroughs.

Bio: He has been the founder and CEO of five tech companies, which sold for a combined value of over $200 million. He’s the author of four books including the New York Times Bestsellers, Disciplined Dreaming, and The Road to Reinvention. This guy just loves starting and building companies. He’s the founding partner of Detroit Venture Partners and has been involved in the launch of over 100 startups. Today, Josh serves as Chairman and co-founder of Platypus Labs, innovation research, training, and consulting firm. He has twice been named the Ernst & Young Entrepreneur of the Year and is a recipient of the United States Presidential Champion of Change Award. Josh is also a passionate Detroiter, the father of four, a professional-level jazz guitarist, and has a slightly odd obsession for greasy pizza

Josh's Book: Big Little Breakthroughs https://amzn.to/3usFCLm

Josh's Recommendations: Think Like a Monk: Train Your Mind for Peace and Purpose Every Day https://amzn.to/3bzvyYh Range: Why Generalists Triumph in a Specialized World https://amzn.to/37K4PqW Think Again: The Power of Knowing What You Don't Know https://amzn.to/37MepcR

Discussion Timeline: TIMELINE

Some questions we covered: 1. Starter: Give your starter pitch 1 point that Big Little Breakthroughs points to: 2. Vishal briefly introduce Josh 3. What are you seeing the role of innovation in the middle of firefight[pandemic] 4. What is the state of enterprise investments to promote innovation? 5. What are some easy to fix bottlenecks to get enterprises to keep on innovating 6. What are some misconceptions about innovation and its adoption 7. Explain your journey to your current role? 8. Could you share something about your current role? 9. What does your company do? 10. Explain your journey to this book? 11. Why write this book? 12. Why are you so passionate about helping everyday people become everyday innovators? 13. What's the most misunderstood thing around human creativity? 14. What's your favorite brainstorming technique? 15. From doing the research for your new book, Big Little Breakthroughs, what surprised you the most? 16. What are 1-3 best practices that you think are the key to success in your journey? 17. Do you have any favorite read? 18. As a closing remark, what would you like to tell our audience?

About TAO.ai[Sponsor]: TAO is building the World's largest and AI-powered Skills Universe and Community powering career development platform empowering some of the World's largest communities/organizations. Learn more at https://TAO.ai

About FutureOfData: FutureOfData takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of data, analytics, and insights.

About AnalyticsWeek.com FutureOfData is managed by AnalyticsWeek.com, a #FutureOfData Leadership community of Organization architects and leaders.

Sponsorship / Guest Request should be directed to [email protected]

Keywords:

FutureofData #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2

In this podcast, John Busby(@johnmbusby), Chief Analytics Officer @CenterfieldUSA, talks about his journey leading the data analytics practice of a digital marketing agency. He sheds light on some methodologies for building a sound data science practice. He sheds light on the future of digital marketing and shared some big opportunities ripe for disruption in the digital space.

Timeline: 0:28 John's journey. 4:26 Introduction to Centerfield. 6:00 John's role. 6:50 Designing a common platform for customers. 9:15 Analytics in Amazon. 11:02 Data science and marketing. 18:02 Importance of understanding the product for marketing. 21:44 AI in the marketing business. 25:26 Making sense of customer behavior. 27:50 End to end consumer behavior. 31:05 Editing and calibrating KPIs. 32:53 Creating an inside driven organization. 35:35 Recipe for a successful chief analytic officer. 37:46 On data bias. 39:12 Hiring the right people. 41:33 Big opportunities in digital marketing. 44:15 Future of digital marketing. 45:27 John's recipe for success. 48:52 John's favorite reads. 50:35 Key takeaways.

John's Recommended Read: Secrets of Professional Tournament Poker (D&B Poker) by Jonathan Little amzn.to/2MNKjN3

Podcast Link: https://futureofdata.org/data-today-shaping-digital-marketing-of-tomorrow-johnmbusby-centerfieldusa/

John's BIO: John Busby serves as Centerfield’s Chief Analytics Officer. A seasoned digital marketing executive, John leads the company’s data science, analytics and insights teams. Before joining Centerfield, John was Head of Analytics for Amazon’s grocery delivery service and responsible for business intelligence, data science and automated reporting. Prior to Amazon, John was Senior Vice President of Analytics and Marketing at Marchex. John began his career in product management for InfoSpace, Go2net and IQ Chart. He holds a Bachelor of Science from Northwestern University. Outside of work, John coaches youth hockey, and enjoys sports, poker and hanging out with his wife and two children.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join? If you or any you know wants to join in, Register your interest by mailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

In this podcast, Maksim, CDO @ City of San Diago, discussed the nuances of running big data for big cities. He shares his perspectives on effectively building a central data office in a complex and extremely collaborative environment like a big city. He shared his thoughts on some ways to effectively prioritize which project to pursue. He shared how leadership and execution could blend to solve civic issues relating to big and small cities. A great practitioner podcast for folks seeking to build a robust data science practice across a large and collaborative ecosystem.

Timeline: 0:28 Maksim's journey. 6:45 Maksim's current role. 11:46 Collaboration process in creating a data inventory. 14:52 Working with the bureaucracy. 18:35 Dealing with unforeseen circumstances at work. 20:22 Prioritization at work. 22:58 Qualities of a good data leader. 26:15 Collaboration with other cities. 27:40 Cool data projects in other cities. 30:55 Shortcomings of other city representatives. 36:54 Use cases in AI 39:00 What would Maksim change about himself? 40:50 Future cities and data 43:55 Opportunities for private investors in the public sector. 45:53 Maksim's success mantra. 50:19 Closing remark.

Maksim's Book Recommendation: The Phoenix Project: A Novel about IT, DevOps, and Helping Your Business Win by Gene Kim, Kevin Behr, George Spafford amzn.to/2MAu5Xv

Podcast Link: https://futureofdata.org/understanding-bigdata-for-bigcities-with-maksim-mrmaksimize-cityofsandiego-futureofdata-podcast/

Maksim's BIO: Maksim Pecherskiy: As the CDO for the City of San Diego, working in the Performance & Analytics Department, Maksim strives to bring the necessary components together to allow the City's residents to benefit from a more efficient, agile government that is as innovative as the community around it. He has been solving complex problems with technology for nearly a decade. He spent 2014 working as a Code For America fellow in Puerto Rico, focusing on economic development. His team delivered a product called PrimerPeso that provides business owners and residents a tool to search, and apply for, government programs for which they may be eligible.

Before moving to California, Maksim was a Solutions Architect at Promet Source in Chicago, where he built large web applications and designed complex integrations. He shaped workflow, configuration management, and continuous integration processes while leading and training international development teams. Before his work at Promet, he was a software engineer at AllPlayers, who was instrumental in the design and architecture of its APIs and the development and documentation of supporting client libraries in various languages.

Maksim graduated from DePaul University with a bachelor of science degree in information systems and from Linköping University, Sweden, with a bachelor of science degree in international business. He is also certified as a Lean Six Sigma Green Belt.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join? If you or any you know wants to join in, Register your interest by mailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

In this podcast, Jim Sterne shares how marketing has evolved through disruptive times. He shares some of the best practices in the marketing and digital analytics space. He sheds light on some opportunities in the marketing and analytics space and how machine learning is changing the face of digital and marketing. This is a great podcast for anyone looking to understand how AI is impacting marketing and what are some big opportunities in marketing and digital.

Timeline: 0:30 Jim's journey. 5:25 The evolution of marketing. 8:45 Breaking down the digital. 11:40 Marketing and analytics. 13:27 Misuse of analytics in marketing. 17:35 Resolving bad data and bias. 22:20 Good digital analyst vs. bad digital analyst. 28:06 Defining a well-oiled marketing machine. 30:33 Marketing industry's adoption of technology. 34:19 Technology adoption strategy. 38:23 Impact of machine learning and digital marketing. 42:19 Decision making, accountability, and AI. 47:08 Advice for start-ups. 48:52 Disruption opportunities in digital marketing. 55:57 Ethics and marketing. 58:52 What's next in digital marketing. 1:02:27 Jim's success mantra. 1:05:36 Jim's reading list. 1:07:30 Key takeaways.

Jim's Books: amzn.to/2KB1QCR

Jim's Current Read List: Shift: 19 Practical, Business-Driven Ideas for an Executive in Charge of Marketing but Not Trained for the Task by Sean Doyle amzn.to/2KG4K9d Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking by Foster Provost and Tom Fawcett amzn.to/2AWR3Dz

Podcast Link: https://futureofdata.org/future-of-data-in-marketing-digital-jimsterne/

Jim's BIO: Jim Sterne focused his thirty-five years in sales and marketing to create and strengthen customer relationships through digital communications. He sold business computers to companies that had never owned one in the 1980s, consulted and keynoted online marketing in the 1990s, and founded a conference and a professional association around digital analytics in the 2000s, following his humorous Devil's Data Dictionary. Sterne has just published his twelfth book Artificial Intelligence for Marketing: Practical Applications. Sterne produced the eMetrics Summit from 2002 - 2017 and now produces the Marketing Evolution Experience. He was co-founder and served for 17 years as the Board Chair of the Digital Analytics Association.

Jim was named one of the 50 most influential people in digital marketing by a top marketing magazine in the United Kingdom and identified as one of the top 25 Hot Speakers by the National Speakers Association.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join? If you or any you know wants to join in, Register your interest by mailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

In this podcast, Dennis Mortensen (@DennisMortensen @XdotAI) sat with Vishal Kumar from @AnalyticsWeek to discuss his entrepreneurial journey of building successful analytics startups. He shares his journey to starting advanced analytics at AI startup x.ai and how he is solving an important productivity killer using AI. He shared his challenges and opportunities of being an early entrant into the AI startup space. He also shared his thoughts on Google Wave and Google Duplex and what to expect from these technologies in the future.

Timelines: 0:28 Dennis's journey 4:46 Dennis's "why." 9:50 Dennis's success mantra. 14:45 Making of X.ai 19:03 Educating the market 22:34 Surprises on the way 30:05 Killing the inbox 35:50 Why the calendar? 39:07 About Google. duplex 50:05 Future of work 55:00 Recommended books.

Dennis's Recommended Read: The Narrow Road: A Brief Guide to the Getting of Money by Felix Dennis amzn.to/2vaJ1S4 Undisputed Truth by Mike Tyson, Larry Sloman amzn.to/2ACOypK Shoe Dog: A Memoir by the Creator of Nike by Phil Knight amzn.to/2MaFMAu

Podcast Link: https://futureofdata.org/road-to-building-a-successful-ai-startup-dennismortensen-xdotai-futureofdata-podcast/

Dennis's BIO: Dennis Mortensen is the CEO and co-founder of x.ai.

Dennis is an expert in leveraging data to solve enterprise use cases and a serial entrepreneur who’s successfully exited several companies on that theme.

His long-term vision of killing the inbox led to the formation of x.ai and the creation of Amy + Andrew, artificially intelligent assistants who schedule meetings. He frequently speaks to anyone who’ll listen, from the crowds of Web Summit to his building’s doorman, about an optimistic future for AI, productivity, and the future of work.

Dennis was also an accredited Associate Analytics Instructor at the University of British Columbia and the author of Data-Driven Insights, on collecting and analyzing digital data.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join? If you or any you know wants to join in, Register your interest by emailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

In this podcast Jason Carmel(@defenestrate99) Chief Data Officer @ POSSIBLE talks about his journey leading data analytics practice of digital marketing agency. He sheds light on some methodologies for building a sound data science practice. He sheds light on using data science chops for doing some good while creating traditional value. He shared his perspective on keeping team-high on creativity to keep creating innovative solutions. This is a great podcast for anyone looking to understanding the digital marketing landscape and how to create a sound data science practice.

Timelines: 0:29 Jason's journey. 6:40 Advantage of having a legal background for a data scientist. 9:15 Understanding emotions based on data. 13:54 The empathy model. 14:53 From idea to inception to execution. 23:40 The role of digital agencies. 30:20 Measuring the right amount of data. 32:40 Management in a creative agency. 34:40 Leadership qualities that promote creativity. 38:14 Leader's playbook in a digital agency. 40:50 Qualities of a great data science team in the digital agency. 44:30 Leadership's role in data creativity. 47:00 Opportunites as a data scientist in the digital agency. 49:18 Future of data in digital media. 51:38 Jason's success mantra. 53:30 Jason's favorite reads. 57:11 Key takeaways.

Jason's Recommended Read: Trendology: Building an Advantage through Data-Driven Real-Time Marketing by Chris Kerns amzn.to/2zMhYkV Venomous: How Earth's Deadliest Creatures Mastered Biochemistry by Christie Wilcox amzn.to/2LhqI76

Podcast Link: https://futureofdata.org/jason-carmel-defenestrate99-possible-leading-analytics-data-digital-marketing/

Jason's BIO: Jason Carmel is Chief Data Officer at Possible. With nearly 20 years of digital data and marketing experience, Jason has worked with clients such as Coca Cola, Ford, and Microsoft to evolve digital experiences based on real-time feedback and behavioral data. Jason manages a global team of 100 digital analysts across POSSIBLE, a digital advertising agency that uses traditional and unconventional data sets and models to help brands connect more effectively with their customers.

Of particular interest is Jason’s work using data and machine learning to define and understand the emotional components of human conversation. Jason spearheaded the creation of POSSIBLE’s Empathy Model, with translates the raw, unstructured content of social media into a quantitative understanding of what customers are actually feeling about a given topic, event, or brand.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join? If you or any you know wants to join in, Register your interest by mailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

This podcast spends time discussing Tim O'Reilly's futuristic perspective on data, analytics, AI, jobs, and organization. He sheds light on what are somethings businesses could do to stay relevant and future proof. He discussed his book and shared some of the key insights relevant to anyone thinking of staying relevant in the World led by technology and impacting the future. A must video for anyone working!

Timeline: 00:28 Tim's journey. 06:03 Tim's current occupation. 10:50 Interesting work for interesting people. 15:08 Thinking behind the title "What's the future". 23:41 Culture and technology evolution. 26:29 Creating value for the shareholder. 35:06 Learning a new skill. 38:12 Labor and technology. 47:07 Investing in humans or technology? 56:02 The role of AI in Media. 59:45 How can an employee stay relevant? 1:04:28 Tim's favorite books. 1:09:38 Key takeaways.

Tim's Book: WTF?: What's the Future and Why It's Up to Us by Tim O'Reilly https://amzn.to/2N5WhOn

Tim's Recommended Read: AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee https://amzn.to/2N8VGLL Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal and Joshua Gans https://amzn.to/2ugQBKr The Long Twentieth Century: Money, Power and the Origins of Our Times by Giovanni Arrighi https://amzn.to/2ufhb6R Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist by Kate Raworth https://amzn.to/2LcbLQc Winners Take All: The Elite Charade of Changing the World by Anand Giridharadas https://amzn.to/2utgeXF New Power: How Power Works in Our Hyperconnected World--and How to Make It Work for You by Jeremy Heimans and Henry Timms https://amzn.to/2NbBJ77 Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed by James C. Scott https://amzn.to/2ztnoRz The Struggle for Survival: An Historical, political, and Socioeconomic Perspective of St. Lucia by Anderson Reynolds https://amzn.to/2uqF22w

Podcast Link: https://futureofdata.org/discussing-jobs-data-and-whatsthefuture-with-timoreilly-futureofdata-podcast/

Tim's BIO: Tim O’Reilly is the founder and CEO of O’Reilly Media, Inc. His original business plan was “interesting work for interesting people,” which worked out pretty well. O’Reilly Media delivers online learning, publishes books, runs conferences, urges companies to create more value than they capture, and tries to change the world by spreading and amplifying the knowledge of innovators.

Tim has a history of convening conversations that reshape the computer industry. In 1993, he launched the first commercial, ad-supported site on the internet. In 1998, he organized the meeting where the term “open source software” was agreed on and helped the business world understand its importance. In 2004, with the Web 2.0 Summit, he defined how “Web 2.0” represented not only the resurgence of the web after the dot com bust, but a new model for the computer industry, based on big data, collective intelligence, and the internet as a platform. In 2009, with his “Gov 2.0 Summit,” he framed a conversation about the modernization of government technology that has shaped policy and spawned initiatives at the Federal, State, and local level and around the world. He has now turned his attention to the implications of AI, the on-demand economy, and other technologies that are transforming the nature of work and the future shape of the business world. This is the subject of his forthcoming book from Harper Business, WTF: What’s the Future and Why It’s Up to Us.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey in creating the data-driven future.

Wanna Join? If you or any you know wants to join in or sponsor, Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Futurist #Podcast #BigData #Strategy

In this podcast, Don Kettl, Professor, LBJ School, the University of Texas at Austin, talks about the future of the public sector in the mid of data and analytics capability disruptions. Don talked about some of the biggest opportunities in the public policy space. He sheds light on how the future public policy officers would design the organizations that grow with time. He sheds light on the future of jobs in the public sector and how data could disrupt the space to increase its impact. This session is great for people interested in learning about public sector data and jobs impact through big data evolution.

TIMELINE: 0:28 Don's journey. 5:16 Premise of "Little bites of big data policy". 7:16 Data in the government sector. 11:18 Example of good data framework in state governments. 13:49 The need for good cooperation between the private and public sectors. 17:56 Opportunities for data in the public sector. 21:37 The failure of data in the public sector. 27:54 Perspective on open data. 33:58 Future of data in the public sector. 41:42 The role of government in data businesses. 48:58 Can government data policies go global? 55:56 Don's success mantra. 59:43 Don's reading list. 1:01:30 How does Don avoid bias? 1:07:00 Key takeaways.

Don's Book: Little Bites of Big Data for Public Policy by Donald F Kettl amzn.to/2zfpKDn Politics of the Administrative Process by Donald F Kettl amzn.to/2KS34KY and more at: amzn.to/2u12gg8

Podcast Link: https://futureofdata.org/future-of-public-sector-and-jobs-in-bigdata-world-futureofdata-podcast/

Don's BIO: Donald F. Kettl is a professor at the Lyndon B. Johnson School of Public Affairs at the University of Texas at Austin. He is also a nonresident senior fellow at the Volcker Alliance and the Brookings Institution.

Kettl is the author or editor of numerous books, including Can Governments Earn Our Trust? (2017); Little Bites of Big Data for Public Policy (2017); The Politics of the Administrative Process (7th edition, 2017). Three of his books have received national best-book awards. The Transformation of Governance (2002); and System under Stress: Homeland Security and American Politics (2005) and Escaping Jurassic Government: How to Recover America’s Lost Commitment to Competence.

He has received three-lifetime achievement awards: the American Political Science Association’s John Gaus Award, the Warner W. Stockberger Achievement Award of the International Public Management Association, and the Donald C. Stone Award of the American Society for Public Administration, for significant contributions to the field of intergovernmental relations.

Kettl holds a Ph.D. in political science from Yale University. Before his appointment at the University of Maryland, he taught at the University of Pennsylvania, Columbia University, the University of Virginia, Vanderbilt University, and the University of Wisconsin-Madison. He is a fellow of Phi Beta Kappa and the National Academy of Public Administration.

He has appeared frequently in national and international media, including National Public Radio, the Fox News Channel, Good Morning America, ABC World News Tonight, NBC Nightly News, CBS Evening News, CNN’s “Anderson Cooper 360” and “The Situation Room,” the Huffington Post, as well as public television’s News Hour and the BBC.

Kettl is a shareholder of the Green Bay Packers, along with his wife, Sue.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ analyticsweek.com/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast @BesaBauta from MeryFirst talks about the compliance and privacy challenges faced in the hyper regulated industry. With her experience in health informatics, Besa shared some best practices and challenges faced by data science groups in health informatics and other similar groups in regulated space. This podcast is great for anyone looking to learn about data science compliance and privacy challenges.

TIMELINE: 0:28 Besa's journey. 6:05 Besa's current role. 9:30 Privacy and compliance in health informatics. 14:44 Are the current privacy regulations sufficient? 16:15 Data management in different organizations. 22:37 The negatives for compliance policies on data. 26:28 Hiring a good chief data officer. 30:20 Vetting a company as a CDO. 32:38 Challenges for a startup in the healthcare sector. 36:25 Common challenges for data officers in the healthcare sector. 38:29 Millenials and technology. 40:05 Leadership dealing with compliance policies. 46:26 Requirements for working in health informatics. 49:18 Ingredients of a perfect hire. 50:40 Besa's success mantra. 52:35 How does Besa stay updated? 54:37 Besa's favorite read. 57:04 Key takeaway. Besa's Recommended Read: The Art Of War by Sun Tzu and Lionel Giles https://amzn.to/2Jx2PYm

Podcast Link: https://futureofdata.org/compliance-and-privacy-in-health-informatics-by-besabauta/

Besa's BIO: Dr. Besa Bauta is the Chief Data Officer and Chief Compliance Officer for MercyFirst, a social service organization providing health and mental health services to children and adolescents in New York City. She oversees the Research, Evaluation, Analytics, and Compliance for Health (REACH) division, including data governance and security measures, analytics, risk mitigation, and policy initiatives. She is also an Adjunct Assistant Professor at NYU and previously worked as a Research Director for a USAID project in Afghanistan and as the Senior Director of Research and Evaluation at the Center for Evidence-Based Implementation and Research (CEBIR). She holds a Ph.D. in implementation science with a focus on health services, an MPH in Global Health, and an MSW. Her research has focused on health systems, mental health, and technology integration to improve population-level outcomes.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast @DanDeGrazia from @IBM spoke with @Vishaltx from @AnalyticsWeek to discuss the mingling of chief data scientist with open sources. He sheds light into some of the big opportunities in open source and how businesses could work together to achieve progress in data science. Dan also shared the importance of smooth communication for success as a data scientist.

TIMELINE: 0:29 Dan's journey. 9:40 Dan's role in IBM. 11:26 Tips on staying consistent while creating a database. 16:23 Chief data scientist and open-source put together. 20:28 The state of open source when it comes to data. 23:50 Evaluating the market to understand business requirements. 29:19 Future of data and open-source market. 33:23 Exciting opportunities in data. 37:06 Data scientist's role in integrating business and data. 49:41 Ingredients of a successful data scientist. 53:04 Data science and trust issues. 59:35 Human element behind data. 1:01:20 Dan's success mantra. 1:06:52 Key takeaways.

Dan's Recommended Read: The Five Temptations of a CEO, Anniversary Edition: A Leadership Fable by Patrick Lencioni https://amzn.to/2Jcm5do What Every BODY is Saying: An Ex-FBI Agent8217;s Guide to Speed-Reading People by Joe Navarro, Marvin Karlins https://amzn.to/2J1RXxO

Podcast Link: https://futureofdata.org/where-chief-data-scientist-open-source-meets-dandegrazia-futureofdata-podcast/

Dan's BIO: Dan has almost 30 years of experience working with large data sets. Starting with the unusual work of analyzing potential jury pools in the 1980s, Dan also did some of the first PC based voter registration analytics in the Chicago area, including putting the first complete list of registered voters on a PC (as hard as that is to imagine today a 50-megabyte hard drive on DOS systems was staggering). Interested in almost anything new and technical, he worked at The Chicago Board of Trade. He taught himself BASIC to write algorithms while working as an Arbitrager in financial futures. After the military, Dan moved to San Francisco. He worked with several small companies and startups designing and implementing some of the first PC-based fax systems (who cares now!), enterprise accounting software, and early middleware connections using the early 3GL/4GL languages. Always perusing the technical edge cases, Dan worked for InfoBright, a Column store Database startup in the US and EMEA, at Lingotek, an In-Q-Tel funded company working in large data set translations and big data analytics companies like Datameer and his current position as a Chief Data Scientist for Open Source in the IBM Channels organization. Dan's current just for fun Project is working to create an app that will record and analyze bird songs and provide the user with information on the bird and the specifics of the current song.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, @BillFranksGA talks about the ingredients of a successful analytics ecosystem. He shared his analytics journey, his perspective on how other businesses are engaging in data analytics practice. He also sheds some light on best practices that businesses could adopt to execute a successful data strategy.

Timeline: 0:28 Bill's journey. 4:00 Bill's journey as an analyst. 9:29 Maturity of the analytics market. 11:56 Business, IT, and Data. 16:18 Introducing centralized analytics practice in an enterprise. 19:50 Tips and strategies for chief data officers to deliver the goods. 26:07 What do businesses don't get about data analytics? 29:40 Is the future aligned with data or analytics. 34:25 Importance for leadership to understand analytics. 36:35 The role of analytics professionals in the age of AI. 41:42 Upgrading analytics models. 47:50 How much should a business experiment on AI. 55:25 Evaluating blockchain. 59:50 Bill's success mantra. 1:05:25 Bill's favorite reads. 1:07:17 Key takeaway.

Podcast Link: https://futureofdata.org/billfranksga-on-the-ingredients-of-successful-analytics-ecosystem-futureofdata-podcast/

Bill's BIO: Bill Franks is Chief Analytics Officer for The International Institute For Analytics (IIA), where he provides perspective on trends in the analytics and big data space and helps clients understand how IIA can support their efforts to improve analytic performance. He also serves on the advisory boards of multiple university and professional analytic programs. He has held a range of executive positions in the analytics space in the past, including several years as Chief Analytics Officer for Teradata (NYSE: TDC).

Bill is the author of the book Taming The Big Data Tidal Wave (John Wiley & Sons). In the book, he applies his two decades of experience working with clients on large-scale analytics initiatives to outline what it takes to succeed in today’s world of big data and analytics. The book made Tom Peter’s list of 2014 “Must Read” books and also the Top 10 Most Influential Translated Technology Books list from CSDN in China.

His focus has always been to help translate complex analytics into terms that business users can understand and to then help an organization implement the results effectively within their processes. His work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations.

He earned a Bachelor’s degree in Applied Statistics from Virginia Tech and a Master’s degree in Applied Statistics from North Carolina State University.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast @AndyPalmer from @Tamr sat with @Vishaltx from @AnalyticsWeek to talk about the emergence/need/market for Data Ops, a specialized capability emerging from merging data engineering and dev ops ecosystem due to increased convoluted data silos and complicated processes. Andy shared his journey on what some of the businesses and their leaders are doing wrong and how businesses need to rethink their data silos to future proof themselves. This is a good podcast for any data leader thinking about cracking the code on getting high-quality insights from data.

Timelines: 0:28 Andy's journey. 4:56 What's Tamr? 6:38 What's Andy's role in Tamr. 8:16 What's data ops? 13:07 Right time for business to incorporate data ops. 15:56 Data exhaust vs. data ops. 21:05 Tips for executives in dealing with data. 23:15 Suggestions for businesses working with data. 25:48 Creating buy-in for experimenting with new technologies. 28:47 Using data ops for the acquisition of new companies. 31:58 Data ops vs. dev ops. 36:40 Big opportunities in data science. 39:35 AI and data ops. 44:28 Parameters for a successful start-up. 47:49 What still surprises Andy? 50:19 Andy's success mantra. 52:48 Andy's favorite reads. 54:25 Final remarks.

Andy's Recommended Read: Enlightenment Now: The Case for Reason, Science, Humanism, and Progress by Steven Pinker https://amzn.to/2Lc6WqK The Three-Body Problem by Cixin Liu and Ken Liu https://amzn.to/2rQyPvp

Andy's BIO: Andy Palmer is a serial entrepreneur who specializes in accelerating the growth of mission-driven startups. Andy has helped found and/or fund more than 50 innovative companies in technology, health care, and the life sciences. Andy’s unique blend of strategic perspective and disciplined tactical execution is suited to environments where uncertainty is the rule rather than the exception. Andy has a specific passion for projects at the intersection of computer science and the life sciences.

Most recently, Andy co-founded Tamr, a next-generation data curation company, and Koa Labs, a start-up club in the heart of Harvard Square, Cambridge, MA.

Specialties: Software, Sales & Marketing, Web Services, Service Oriented Architecture, Drug Discovery, Database, Data Warehouse, Analytics, Startup, Entrepreneurship, Informatics, Enterprise Software, OLTP, Science, Internet, eCommerce, Venture Capital, Bootstrapping, Founding Team, Venture Capital firm, Software companies, early-stage venture, corporate development, venture-backed, venture capital fund, world-class, stage venture capital

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Podcast link: https://futureofdata.org/emergence-of-dataops-age-andypalmer-futureofdata-podcast/

Wanna Join? If you or any you know wants to join in, Register your interest and email at [email protected]

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Harsh Tiwari, Former CDO CUNA Mutual Group, sheds light on data science leadership in the financial / risk sector. He shares some key takeaway insights for aspiring leaders to take for managing large enterprise data science practice. He shared the importance of collaborations and a growth mindset via a partnership. He discussed his "So what" approach to problem-solving. This podcast is great for any listener willing to understand some best practices for being a data-driven leader.

Timeline: 0:28 Harsh's journey. 5:44 Harsh's current role. 10:17 Ideal location for a chief data officer. 14:42 Ideal CDO role and placement. 20:15 Capital One's best practices in managing data. 25:28 How are the credit unions and regional banks placed in terms of data management. 31:20 Introducing data to well-performing banks. 38:05 Getting started as a CDO in a bank. 43:21 Checklist for a business to hire a CDO. 48:35 Keeping oneself sane during the technological disruption. 54:13 Harsh's success mantra. 58:51 Harsh's favorite read. 1:02:14 Parting thoughts.

Harsh's Recommended Read: Good to Great: Why Some Companies Make the Leap and Others Don't by Jim Collins https://amzn.to/2I7DHGM

Podcast Link: https://futureofdata.org/harsh-tiwari-talks-about-fabric-of-data-driven-leader-in-financial-sector-futureofdata-podcast/

Harsh's BIO: Harsh Tiwari is the Senior Vice President and Chief Data Officer for CUNA Mutual Group in Madison, Wisconsin. His primary responsibilities include leading enterprise-wide data initiatives providing strategy and policy guidance for data acquisition, usage, and management. He joined the company in July 2015. Before joining CUNA Mutual Group, Harsh spent many years working in information technology, analytics, and data intelligence. He worked at Capital One Financial Group in Plano, Texas, for 17 years, where he most recently focused on creating an effective data and business intelligence environment to manage risks across the company as the Head of Risk Management Data and Business Intelligence. He has also served as the Divisional CIO for Small Business Credit Card and Consumer Lending, Head of Portfolio and Delivery Management, Head of Auto Finance Data and Business Intelligence, Business Information Officer of Capital One Canada, and Analyst –Senior Manager of Small Business Data & System Analysis.

A native of India, Harsh earned a B.S. in Mechanical engineering from Mysore University in Mysore, Karnataka, India, and an M.B.A. in Finance / MIS Drexel University in Philadelphia, Pennsylvania. In his spare time, Harsh enjoys golfing and spending time with his wife, Rashmi, and their son, who is 12, and a daughter, who is 8.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Justin Borgman talks about his journey of starting a data science start, doing an exit, and jumping on another one. The session is filled with insights for leadership, looking for entrepreneurial wisdom to get on a data-driven journey.

Timeline: 0:28 Justin's journey. 3:22 Taking the plunge to start a new company. 5:49 Perception vs. reality of starting a data warehouse company. 8:15 Bringing in something new to the IT legacy. 13:20 Getting your first few customers. 16:16 Right moment for a data warehouse company to look for a new venture. 18:20 Right person to have as a co-founder. 20:29 Advantages of going seed vs. series A. 22:13 When is a company ready for seeding or series A? 24:40 Who's a good adviser? 26:35 Exiting Teradata. 28:54 Teradata to starting a new company. 31:24 Excitement of starting something from scratch. 32:24 What is Starburst? 37:15 Presto, a great engine for cloud platforms. 40:30 How can a company get started with Presto. 41:50 Health of enterprise data. 44:15 Where does Presto not fit in? 45:19 Future of enterprise data. 46:36 Drawing parallels between proprietary space and open source space. 49:02 Does align with open-source gives a company a better chance in seeding. 51:44 John's ingredients for success. 54:05 John's favorite reads. 55:01 Key takeaways.

Paul's Recommended Read: The Outsiders Paperback – S. E. Hinton amzn.to/2Ai84Gl

Podcast Link: https://futureofdata.org/running-a-data-science-startup-one-decision-at-a-time-futureofdata-podcast/

Justin's BIO: Justin has spent the better part of a decade in senior executive roles building new businesses in the data warehousing and analytics space. Before co-founding Starburst, Justin was Vice President and General Manager at Teradata (NYSE: TDC), where he was responsible for the company’s portfolio of Hadoop products. Prior to joining Teradata, Justin was co-founder and CEO of Hadapt, the pioneering "SQL-on-Hadoop" company that transformed Hadoop from file system to analytic database accessible to anyone with a BI tool. Teradata acquired Hadapt in 2014.

Justin earned a BS in Computer Science from the University of Massachusetts at Amherst and an MBA from the Yale School of Management.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Marc Rind from ADP talked about big data in HR. He shared some of the best practices and opportunities that reside in HR data. Marc also shared some tactical steps to perform to help build better data-driven teams to execute data-driven strategies. This podcast is great for folks looking to explore the depth of HR data and the opportunities that reside in it.

Timeline: 0:28 Marc's journey. 4:50 Marc's typical day. 7:23 Data use cases in ADP. 11:20 Driving innovation and thought leadership. 15:15 Creating awareness for the necessity for innovation. 18:54 Listening skills key for innovation. 20:25 HR's role in the time of automation. 27:45 Product development and data science. 30:36 Working on a client analytics platform. 34:41 Team building. 37:52 Tips for established businesses to get started with data. 41:20 Data opportunities for entrepreneurs in the HR space. 43:23 Marc's ingredients for success. 46:35 Marc's reading list. 48:35 Key takeaways.

Podcast Link: https://futureofdata.org/understanding-bigdata-bigopportunity-in-hr-marcrind-futureofdata/

Marc's BIO: Marc is responsible for leading the research and development of Automatic Data Processing’s (ADP’s) Analytics and Big Data initiative. In this capacity, Marc drives the innovation and thought leadership in building ADP’s Client Analytics platform. ADP Analytics provides its clients not only the ability to read the pulse of its own human capital…but also provides the information on how they stack up within their industry, along with the best courses of action to achieve its goals through quantifiable insights.

Marc was also an instrumental leader behind the small business market payroll platform; RUN Powered by ADP®. Marc leads a number of the technology teams responsible for delivering its critically acclaimed product focused on its innovative user experience for small business owners.

Prior to joining ADP, Marc’s innovative spirit and fascination with data were forged at Bolt Media, a dot-com start-up based in NY’s “Silicon Alley”. The company was an early predecessor to today’s social media outlets. As an early ‘Data Scientist,’ Marc focused on the patterns and predictions of site usage through the harnessing of the data on its +10 million user profiles.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, @JohnNives discusses ways to demystify AI for the enterprise. He shares his perspective on how businesses should engage with AI and what are some of the best practices and considerations for businesses to adopt AI in their strategic roadmap. This podcast is great for anyone seeking to learn about the way to adopt AI in the enterprise landscape.

Timelines: 0:28 John's journey. 6:50 John's current role. 9:40 The role of a chief digital officer. 11:16 The current trend of AI. 13:52 AI hype or real? 16:42 Why AI now? 19:03 Demystifying deep learning. 23:35 Enterprise use cases of AI. 28:25 Attributes of a successful AI project. 32:20 Best AI investments in an enterprise. 36:56 Convincing leadership to adopt AI. 39:20 Organizational implications of adopting AI. 43:45 What do executives get wrong about AI? 48:36 Tips for executives to understand the AI landscape. 53:11 John's favorite reads. 57:35 Closing remarks.

John's Recommended Listen: FutureOfData Podcast math.im/itunes War and Peace Leo Tolstoy (Author),‎ Frederick Davidson (Narrator),‎ Inc. Blackstone Audio (Publisher) amzn.to/2w7ObkI

Podcast Link: https://futureofdata.org/johnnives-on-ways-to-demystify-ai-for-enterprise/

Jean's BIO: Jean-Louis (John) Nives serves as Chief Digital Officer and the Global Chair of the Digital Transformation practice at N2Growth. Prior to joining N2Growth, Mr. Nives was at IBM Global Business Services, within the Watson and Analytics Center of Competence. There he worked on Cognitive Digital Transformation projects related to Watson, Big Data, Analytics, Social Business and Marketing/Advertising Technology. Examples include CognitiveTV and the application of external unstructured data (social, weather, etc.) for business transformation. Prior relevant experience includes executive leadership positions at Nielsen, IRI, Kraft and two successful advertising technology acquisitions (Appnexus and SintecMedia). In this capacity, Jean-Louis combined information, analytics and technology to created significant business value in transformative ways. Jean-Louis earned a Bachelor’s Degree in Industrial Engineering from University at Buffalo and an MBA in Finance and Computer Science from Pace University. He is married with four children and lives in the New York City area.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to discuss their journey in creating the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Amy Gershkoff(@amygershkoff) talks about the ingredients of a successful data science team. Amy sheds light on the challenges of building a successful team and how businesses could align themselves to get maximum out of their data science practice. Amy discussed some tricks, tips, and easy to execute strategies to keep the data science team and practice at the top of its efficiency. This is a great session for anyone who wants to be part of a winning and thriving data science practice within the organization.

Timeline:

0:29 Amy's journey. 8:39 Working on Obama's campaign. 15:35 Getting started with a data project. 20:39 First steps for creating a data science team. 27:53 Hiring a data scientist recruiter. 33:00 Building an internal data science workforce. 40:00 Hiring the right data scientist. 42:36 Tips for a data scientist to become a good hire. 44:42 Leadership getting educated in data science. 48:05 How to build diversity in the data science field. 52:52 Being bias free. 54:20 Amy's reading list. 56:06 Key takeaways. 

Youtube: https://youtu.be/0PBK5dfQaUk iTunes: http://apple.co/2zMLByT

Podcast Link: https://futureofdata.org/amygershkoff-on-building-winning-datascience-team/

Amy's BIO: Dr. Amy Gershkoff consults and advises technology companies across the globe. She is the former Chief Data Officer for Ancestry, the world's leading genealogy and consumer genomics company. Prior to joining Ancestry, she was Chief Data Officer at Zynga. Previously, Amy built and led the Customer Analytics & Insights team and led the Global Data Science team at eBay. She has also served as the Chief Data Scientist for WPP, Data Alliance, where she worked across WPP’s more than 350 operating companies worldwide to create integrated data and technology solutions. She was also the Head of Media Planning at Obama for America 2012, where she was the architect of Obama’s advertising strategy and designed the campaign's analytics systems.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast Stephen Gatchell (@stephengatchell) from @Dell talks about the ingredients of a successful data scientist. He sheds light on the importance of data governance and compliance in defining a robust data science strategy. He suggested tactical steps that executives could take in starting their journey to a robust governance framework. He talked about how to take away the scare from governance. He gave insights on some of the things leaders could do today to build robust data science teams and framework. This podcast is great for leaders seeking some tactical insights into building a robust data science framework.

Timeline:

0:29 Stephen's journey. 4:45 Dell's customer experience journey. 7:39 Suggestions for a startup in regard to customer experience. 12:02 Building a center of excellence around data. 15:29 Data ownership. 19:18 Fixing data governance. 24:02 Fixing the data culture. 29:40 Distributed data ownership and data lakes. 32:50 Understanding data lakes. 35:50 Common pitfalls and opportunities in data governance. 38:50 Pleasant surprises in data governance. 41:30 Ideal data team. 44:04 Hiring the right candidates for data excellence. 46:13 How do I know the "why"? 49:05 Stephen's success mantra. 50:56 Stephen's best read. Steve's Recommended Read: Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2HWjOyT

Podcast Link: https://futureofdata.org/want-to-fix-datascience-fix-governance-by-stephengatchell-futureofdata/

Steve's BIO: Stephen is currently a Chief Data Officer Engineering & Data Lake at Dell and serves on the Dell Information Quality Governance Office and the Dell IT Technology Advisory Board, developing Dell’s corporate strategies for the Business Data Lake, Advanced Analytics, and Information Asset Management. Stephen also serves as a Customer Insight Analyst for the Chief Technology Office, analyzing customer technology challenges and requirements. Stephen has been awarded the People’s Choice Award by the Dell Total Customer Experience Team for the Data Governance and Business Data Lake project, as well as a Chief Technology Officer Innovation finalist for utilizing advanced analytics for customer configurations improving product development and product test coverage. Prior to Stephen’s current role, he managed Dell’s Global Product Development Lab Operations team developing internal cloud orchestration and automation environments, an Information Systems Executive for IBM leading acquisition conversion efforts, and was VP of Enterprise Systems and Operations managing mission-critical Information Systems for Telelogic (a Swedish public software firm). Stephen has an MBA from Southern New Hampshire University, a BSBA, and an AS in Finance from Northeastern University.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

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In this podcast, Ashok Srivastava(@aerotrekker) talks about how the code of creating a great data science practice goes through #PeopleDataTech, and he suggested how to handle unreasonable expectations from reasonable technologies. He shared his journey through culturally diverse organizations and how he successfully build data science practice. He shared his role in Intuit and some of the AI/Machine learning focus in his current role. This podcast is a must for all data-driven leaders, strategists, and wannabe technologists tasked to grow their organization and build a robust data science practice.

Timeline:

0:29 Ashok's journey. 9:58 The role of a CDO at Intuit. 12:45 Ashok's secret to success working with diverse workforces. 15:42 Building a culture of data science. 19:03 Tactical strategies to convince the leadership about data. 22:03 Comparing a data officer and analytics officer. 24:09 Ownership of data. 27:33 Best practices for putting together a data team. 30:16 Best practices for a company to build a good data science practice. 32:40 Who's the ideal data science candidate? 35:17 Data citizens as data leaders. 37:47 Use cases of AI at Intuit. 39:55 Deciding which product deserves AI. 42:35 Disruptive nature of AI. 45:05 Ashok's success mantra. 46:56 Ashok's favorite reads. 49:15 Key takeaways.

Ashok's Recommended Read: Guns, Germs, and Steel: The Fates of Human Societies - Jared Diamond Ph.D. http://amzn.to/2C4bLMT Collapse: How Societies Choose to Fail or Succeed: Revised Edition - by Jared Diamond http://amzn.to/2C3Bu8f

Podcast Link: https://futureofdata.org/ashok-srivastavaaerotrekker-on-winning-the-art-of-datascience/

Ashok's BIO: Ashok N. Srivastava, Ph.D., is the Senior Vice President and Chief Data Officer at Intuit. He is responsible for setting the vision and direction for large-scale machine learning and AI across the enterprise to help power prosperity across the world. He is hiring hundreds of people in machine learning, AI, and related areas at all levels.

Previously, he was Vice President of Big Data and Artificial Intelligence Systems and the Chief Data Scientist at Verizon. He is an Adjunct Professor at Stanford in the Electrical Engineering Department and is the Editor-in-Chief of the AIAA Journal of Aerospace Information Systems. Ashok is a Fellow of the IEEE, the American Association for the Advancement of Science (AAAS), and the American Institute of Aeronautics and Astronautics (AIAA).

Ashok has a range of business experience, including serving as Senior Director at Blue Martini Software and Senior Consultant at IBM.

He has won numerous awards, including the Distinguished Engineering Alumni Award, the NASA Exceptional Achievement Medal, the IBM Golden Circle Award, the Department of Education Merit Fellowship, and several fellowships from the University of Colorado. Ashok holds a Ph.D. in Electrical Engineering from the University of Colorado at Boulder.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Bill Schmarzo talks about the ingredients of successful data science practice, team, and executives. Bill shared his insights on what some leaders in the industries are doing and some challenges seen in the successful deployment. Bill shared his key take on ingredients for some of the successful hires. This podcast is great for growth mindset executives willing to learn about creating a successful data science practice.

Timeline: 0:29 Bill's journey. 5:05:00 Bill's current role. 7:04 Data science adoption challenges for businesses. 9:33 The good side of data science adoption. 11:22 How is data science changing business. 14:34 Strategies behind distributed IT. 18:35 Analysing the current amount of data. 21:50 Who should own the idea of data science? 24:34 The right background for a CDO. 25:52 Bias in IT. 29:35 Hacks to keep yourself bias-free. 31:58 Team vs. tool for putting together a good data-driven practice. 34:54 Value cycle in data science. 37:10 Maturity model. 39:17 Convincing culture heavy businesses to adopt data. 42:47 Keeping oneself sane during the technological disruption. 46:20 Hiring the right talent. 51:46 Ingredients of a good data science hire. 56:00 Bill's success mantra. 59:07 Bill's favorite reads. 1:00:36 Closing remarks.

Bill's Recommended Read: Moneyball: The Art of Winning an Unfair Game by Michael Lewis http://amzn.to/2FqBFg8 Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2tlZAvP

Podcast Link: https://futureofdata.org/schmarzo-dellemc-on-ingredients-of-healthy-datascience-practice-futureofdata-podcast/

Bill's BIO: Bill Schmarzo is the CTO for the Big Data Practice, where he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogger, and is a frequent speaker on the use of Big Data and data science to power the organization's key business initiatives. He is a University of San Francisco School of Management Fellow, where he teaches the "Big Data MBA" course.

Bill has over three decades of experience in data warehousing, BI, and analytics. Bill authored EMC's Vision Workshop methodology that links an organization's strategic business initiatives with their supporting data and analytic requirements and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute's faculty as the head of the analytic applications curriculum.

Bill holds a master's degree in Business Administration from the University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science, and Business Administration from Coe College.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Chuck Rehberg from Trigent Software sat with Vishal to discuss how, as a technologist, leaders should think about connecting technology to help solve real business pains. Chuck also shared some of the best practices technologists could adopt to built successful integrity-filled bias-free teams and solutions.

Timeline 0:29 Chuck's journey. 8:45 Chuck's role in Trigent. 14:18 Trigent's niche clients. 16:26 Semantics and Trigent model. 18:42 What is semantics? 22:00 The state of semantics today. 28:00 Best practices for businesses to use technology optimally. 33:13 Tips for businesses to remain stable in the time of disruptive technology. 36:18 App technology vis a vis enterprise stack. 39:43 Perspectives on the bias. 43:40 Measuring KPIs for success. 48:16 Ingredients of a good technology team. 50:56 Creating a technology team from scratch. 54:42 Things to be done in semantics. 58:52 Chuck's success mantra. 1:02:24 Chuck's favorite reads. 1:07:05 Closing remarks.

Chuck's Recommended Read: World Hypotheses: A Study in Evidence - by Stephen C. Pepper http://amzn.to/2GXGYVV Women, Fire and Dangerous Things: What Categories Reveal About the Mind - by George Lakoff http://amzn.to/2GWIQOA How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library) - by G. Polya (Author),‎ John H. Conway (Foreword, Contributor) http://amzn.to/2BLECtw The Better Angels of Our Nature: Why Violence Has Declined - by Steven Pinker http://amzn.to/2EaLQZI Finite and Infinite Games – by James Carse (Author) http://amzn.to/2BLfIdx Being Mortal: Medicine and What Matters in the End - by Atul Gawande http://amzn.to/2BhgBtp

Podcast Link: https://futureofdata.org/chuckrehberg-trigentsoftware-translating-technology-solve-business-problems-futureofdata/

Here is Chuck's Bio: As CTO at Trigent Software and Chief Scientist at Semantic Insights, Chuck Rehberg has developed patented high-performance rules engine technology and advanced natural language understanding technologies that empower a new generation of semantic research solutions.

Chuck has more than thirty years in the high-tech industry, developing leading-edge solutions in the areas of Artificial Intelligence, Semantic Technologies, analytics, and product configuration software.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Venu Vasudevan(@ProcterGamble) talks about the best practices of creating a research-led data-driven data science team. He walked through his journey of creating a robust and sustained data science team, spoke about bias in data science, and some practices leaders and data science practitioners could adopt to create an impactful data science team. This podcast is great for future data science leaders and practitioners leading organizations to put together a data science practice.

Timeline: 0:29 Venu's jouney. 11:18 Venu's current role in PNG. 13:11 Standardization of technology and IoT. 17:18 The state of AI. 19:46 Running an AI and data practice for a company. 22:30 Building a data science practice in a startup in comparison to a transnational company. 24:05 Dealing with bias. 27:32 Culture: a block or an opportunity. 30:05 Dealing with data we've never dealt with before. 32:32 Sustainable vs. disruption. 36:17 Starting a data science team. 38:34 Data science as an art of doing and science of doing business. 41:37 Tips to improve storytelling for a data practitioner. 43:30 Challenges in Venu's journey. 44:55 Tenets of a good data scientist. 47:27 Diversity in hiring. 50:50 KPI's to look out for if you are running an AI practice. 51:37 Venu's favorite read.

Venu's Recommended Read: Isaac Newton: The Last Sorcerer - Michael White http://amzn.to/2FzGV0N Against the Gods: The Remarkable Story of Risk - Peter L. Bernstein http://amzn.to/2DRPveU

Podcast Link: https://futureofdata.org/venu-vasudevan-venuv62-proctergamble-on-creating-a-rockstar-data-science-team-futureofdata/

Venu's BIO: Venu Vasudevan is Research Director, Data Science & AI at Procter & Gamble, where he directs the Data Science & AI organization at Procter & Gamble research. He is a technology leader with a track record of successful consumer & enterprise innovation at the intersection of AI, Machine Learning, Big Data, and IoT. Previously he was VP of Data Science at an IoT startup, a founding member of the Motorola team that created the Zigbee IoT standard, worked to create an industry-first zero-click interface for mobile with Dag Kittlaus (co-creator of Apple Siri), created an industry-first Google Glass experience for TV, an ARRIS video analytics and big data platform recently acquired by Comcast, and a social analytics platform leveraging Twitter that was featured in Wired Magazine and BBC. Venu held a Ph.D. (Databases & AI) from Ohio State University and was a Motorola’s Science Advisory Board (top 2% of Motorola technologists). He is an Adjunct Professor at Rice University’s Electrical and Computer Engineering department and was a mentor at Chicago’s 1871 startup incubator.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy

In this podcast, Paul Ballew(@Ford) talks about best practices when running a data science organization spanned across multiple continents. He shared the importance of being Smart, Nice, and Inquisitive in creating tomorrow's workforce today. He sheds some light on the importance of appreciating culture when defining forward-looking policies. He also builds a case for a non-native group and discusses ways to implement data science as a central organization(with no hub-spoke model). This podcast is great for future data science leaders leading organizations with a broad consumer base and multiple geo-political silos.

Timeline: 0:29 Paul's journey. 5:10 Paul's current role. 8:10 Insurance and data analytics. 13:00 Who will own the insurance in the time of automation. 18:22 Recruiting models in technologies. 21:54 Embracing technological change. 25:03 Will we have more analytics in Ford cars? 28:25 How does Ford stay competitive from a technology perspective. 30:30 Challenges for Analytics officer in Ford. 32:36 Ingredients of a good hire. 34:12 How is the data science team structured in Ford. 36:15 Dealing with shadow groups. 39:00 Successful KPIs. 40:33 Who owns data? 42:27 Who should own the security of data assets. 44:05 Examples of successful data science groups. 46:30 Practises for remaining bias-free. 48:55 Getting started running a global data science team. 52:45 How does Paul's keep himself updated. 54:18 Paul's favorite read. 55:45 Closing remarks.

Paul's Recommended Read: The Outsiders Paperback – S. E. Hinton http://amzn.to/2Ai84Gl

Podcast Link: https://futureofdata.org/paul-ballewford-running-global-data-science-group-futureofdata-podcast/

Paul's BIO: Paul Ballew is vice president and Global Chief Data and Analytics officer, Ford Motor Company, effective June 1, 2017. At the same time, he also was elected a Ford Motor Company officer. In this role, he leads Ford’s global data and analytics teams for the enterprise. Previously, Ballew was Global Chief Data and Analytics Officer, a position to which he was named in December 2014. In this role, he has been responsible for establishing and growing the company’s industry-leading data and analytics operations that are driving significant business value throughout the enterprise. Prior to joining Ford, he was Chief Data, Insight & Analytics Officer at Dun & Bradstreet. In this capacity, he was responsible for the company’s global data and analytic activities along with the company’s strategic consulting practice. Previously, Ballew served as Nationwide’s senior vice president for Customer Insight and Analytics. He directed customer analytics, market research, and information and data management functions, and supported the company’s marketing strategy. His responsibilities included the development of Nationwide’s customer analytics, data operations, and strategy. Ballew joined Nationwide in November 2007 and established the company’s Customer Insights and Analytics capabilities.

Ballew sits on the boards of Neustar, Inc. and Hyatt Hotels Corporation. He was born in 1964 and has a bachelor’s and master’s degree in Economics from the University of Detroit.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey in creating the data-driven future.

Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/

Want to sponsor? Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy