In this session, Ram discussed the ever-evolving world of competitive advantage. He shared how current changes desire to rethink of competitive edge strategies. He shared some data-driven strategies and some best practices that are executable and easy to implement. Bio: Ram Charan is the co-author of the bestselling Execution and Confronting Reality, written with Larry Bossidy, and the author of Know-How and a dozen other books. A former award-winning Harvard Business School professor, he is a worldwide expert on business strategy, execution, corporate boards, and building a high-performance organization. He has worked with the CEOs of some of the world's most successful companies, including GE, Bank of America, Verizon, Coca-Cola, 3M, Merck, Aditya Birla Group, and Tata Group.

Ram's Book: Rethinking Competitive Advantage: New Rules for the Digital Age https://amzn.to/3x5cU3w

Discussion Timeline: TIMELINE

Stage 1: Lead-in 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

Stage 2: Subject Matter Expertise 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?

Stage 3: Introduction as an author 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?

Stage 4: Main points on the books 12. What has changed about business today that has rendered obsolete the classic rules of competitive strategy established by Michael Porter and others and requires a new playbook? 13. As an advisor to some of the world's top CEOs, how worried are they about competing with digital giants right now and what is their best hope? 14. Does Wal-Mart stand a chance at competing with the ultimate digital giant of Amazon? 15. Why is imagination such an important skill for competing today? 16. What is the reason companies should spend more time thinking about their ecosystem than on their direct competitors? 17. Why do you say that companies need a money-making model, not a business model, and what’s an example?

Stage 4: Rapid Fire [Say what comes to your mind] 18 a. #FutureOfWork 18 b. #Technology 18 c. #Leadership 18 d. #Competition 18 e. #Partnership 18 f. #Capitalism 18 g. #GoodBusiness 18 h. #BadBusiness 18 i. #FutureOfLearning 18 j. #CompetitiveAdvantage 18 k. #1ThingsMisunderstoodAboutCompetition

Stage 5: Closing 19. What are 1-3 best practices that you think are the key to success in your journey? 20. Do you have any favorite read? 21. 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 WorkPod: Work Pod takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of work, workers, and the workplace.

About Work2.org WorkPod is managed by Work2.org, a #FutureOfWork community for HR and Organization architects and leaders.

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

Keywords:

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

In this conversation, Thomas Eisenmann discussed the complicated world of startup failures. Tom discussed various failures and what are some ways businesses could have done right. This is a great conversation for anyone seeking to understand failures and how to avoid them.

Bio: Tom Eisenmann is the Howard H. Stevenson Professor of Business Administration at Harvard Business School (HBS) and the faculty co-chair of the Arthur Rock Center for Entrepreneurship. Since joining the HBS faculty in 1997, he’s led The Entrepreneurial Manager, an introductory course taught to all first-year MBAs, and launched fourteen electives on all aspects of entrepreneurship, including one on startup failure. Eisenmann has authored more than one hundred HBS case studies and his writing has appeared in The Wall Street Journal, Harvard Business Review, and Forbes. He is the author of the new book Why Startups Fail.

Thomas's Book: Why Startups Fail: A New Roadmap for Entrepreneurial Success https://amzn.to/2SeCCEa

Discussion Timeline: TIMELINE

Stage 1: Lead-in 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. What are some common pitfalls you find in the world of startups? 5. What is the state of innovation today? 6. What are some common patterns you are seeing when it comes to startups that are coming up today? 7. How has corporate innovation stifled over the last year? Stage 3: Introduction as an author 8. Why study startup failures? 9. What are some surprises you found in studying startup failures? 10. What are the most common patterns of failure? 11. Why is it important to normalize and accept failure? 12. Is there such a thing as failing well? 13. What was one of most of the unexpected failures you learned about when writing this book? 14. How you should embrace failure if you are a founder? 15. Are failures something you avoid or something you should embrace? 16. Naseem Taleb suggests being anti-fragile, can startup be anti-fragile

Stage 4: Rapid Fire [Say what comes to your mind] 17 a. #Startups 17 b. #Entrepreneurship 17 c. #Failures 17 d. #Growth 17 e. #Culture 17 f. #Founder 17 g. #Disruption 17 h. #JobsOfFuture 17 i. #FutureofStartup 17 j. #FutureofOrganization

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 WorkPod: Work Pod takes you on the journey with leaders, experts, academics, authors, and change-makers designing the future of work, workers, and the workplace.

About Work2.org WorkPod is managed by Work2.org, a #FutureOfWork community for HR and Organization architects and leaders.

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

Keywords:

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

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

Thomas Dietterich ( @tdietterich ) on Understanding the Depth of AI #FutureOfData #Leadership #Podcast

In this podcast Thomas Dietterich(@tdietterich) Distinguished Professor Emeritus @ Oregan State University sat with Vishal @ AnalyticsWeek to discuss the depth of AI. in This session Tom shared the current state, limitations and future of AI. He shared areas where AI is relevant and which areas are still seeking more testing for AI adoption. He also shared some of the pitfalls with current AI framework, area of selective bias, knowing context etc. This is a great session for anyone seeking to learn about the World of AI.

Thomas's Recommended Read: Army of None: Autonomous Weapons and the Future of War by Paul Scharre https://amzn.to/2CnoA94

Podcast Link: iTunes: http://math.im/itunes Youtube: http://math.im/youtube

Thomas's BIO: Thomas Dietterich has devoted his career to research in machine learning starting from the very first machine learning workshop in 1980. Along the way, he has been involved in four startup companies: Arris Pharmaceutical, MusicStrands, Smart Desktop, and (currently) BigML. He has made important contributions to learning with weak labels, ensemble methods, hierarchical reinforcement learning. and robust artificial intelligence. He was founding President of the International Machine Learning Society (which runs the International Conference on Machine Learning) and President of the Association for the Advancement of Artificial Intelligence. He has served on numerous government advisory bodies and currently is a member of the steering committee of the DARPA ISAT group. Dietterich earned his bachelor's degree from Oberlin College, his M.S. from the University of Illinois, and his PhD from Stanford University. He is a Fellow of the ACM, AAAI, and AAAS.

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 @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 @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, Steve Goldbach & Geoff Tuff from Deloitte sat with Vishal to discuss their recently released book "Detonate". They shared their insights on a cleaner way to create strategies for a future proof and transformation friendly organization. Their tactical suggestions go a long way in helping install a robust strategy to increase responsiveness. Timeline: 0:29 The author's journeys. 4:30 Motivation behind writing "Detonate". 8:31 Getting rid of best practices. 12:08 Relevance of "Detonate" for data ops employees. 14:28 Detonate mindset. 22:17 Fixing orthodoxies. 26:19 How can "detonate" serve different kinds of companies? 32:50 Reason behind failing companies. 36:02 Existing company culture vs. detonate mindset. 39:15 "Failure is not ok". 45:10 Aha moments while writing "Detonate". 47:35 The animations in "Detonate". 49:33 Selling the detonate mindset. 52:13 What's next in detonating mindset? 53:54 Steven's and Geoff's favorite reads. 58:15 Key takeaways.

Steve / Geoff's Recommended Read: Geoff's suggestion: Cloud Atlas: A Novel by David Mitchell The Opposable mind https://amzn.to/2rA5BAV The Last Days of Night: A Novel by Graham Moore https://amzn.to/2rAvErB

Steve's suggestion: Thinking, Fast and Slow by Daniel Kahneman https://amzn.to/2ryIx5C The Opposable Mind: How Successful Leaders Win Through Integrative Thinking by Roger L. Martin https://amzn.to/2Kds7Y2 The Big Short: Inside the Doomsday Machine by Michael Lewis https://amzn.to/2KaFgRI

Podcast Link: https://futureofdata.org/solving-futureoforgs-with-detonate-mindset-by-steven_goldbach-geofftuff-futureofdata/

Geoff's Bio: GEOFF TUFF is a principal at Deloitte and a senior leader of the firm’s Innovation and Applied Design practices. In the past, he led the design firm Doblin and was a senior partner at Monitor Group, serving as a member of its global Board of Directors before the company was acquired by Deloitte. He has been with some form of Monitor for more than 25 years. He holds degrees from Dartmouth College and Harvard Business School.

Steve's Bio: STEVEN GOLDBACH is a principal at Deloitte and serves as the organization’s chief strategy officer. He is also a member of the Deloitte U.S. executive leadership team. Before joining Deloitte, Goldbach was a partner at Monitor Group and head of its New York office. Goldbach helps executives and their teams transform their organizations by making challenging and pragmatic strategy choices in the face of uncertainty. He is an architect, expert practitioner, and teacher of the variety of strategy methodologies developed and used by Monitor Deloitte over the years. Serving clients in many industries, including consumer products, telecommunications, media, and health care, Goldbach helps companies combine rigor and creativity to create their own future. He holds degrees from Queen’s University at Kingston and Columbia Business School.

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 #Leadership #Podcast #Future of #Work #Worker & #Workplace

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, Brian Haugli from The Hanover Insurance Group sat with Vishal to talk about some of the security led leader's mindset. From discussing some of the leadership mindset to practitioner tactical guide to help future security leaders to understand how to secure their organization. This session is great for any security, passionate leader willing to create a security wrapped growth mindset.

Timeline: 0:28 Brian's journey. 3:45 Brian's current role. 7:43 CSO combining with physical security. 10:12 Physical security infrastructure. 11:55 Brian's journey from Military and corporate. 14:42 Common challenges for a CSO. 17:37 Do security certifications help professionals secure an organization? 22:14 Advice for those wanting to join the security industry. 27:14 Recommendations for a startup to stay secure. 34:32 CSO's necessity in understanding tech and business. 36:35 Hacks to cope with new company integrations and operations. 40:50 Security vs. business innovation. 44:13 Security is seen as professional janitors. 52:30 The role of government and regulations in providing security. 55:30 Brian's keys to success. 58:36 Closing remarks.

Brian's Read Recommendation: On The Road by Jack Kerouac http://amzn.to/2hMhOhG

Podcast Link: https://futureofdata.org/brianhaugli-the_hanover-%e2%80%8fon-building-leadership-security-mindset/

GooglePlay: http://math.im/gplay

Brian's BIO: Brian Haugli is a Certified Information Systems Security Professional (CISSP) and a Global Industrial Cyber Security Professional (GICSP). Brian previously served as a senior advisor on cybersecurity and information risk management for the Department of Defense, US Army ITA, and Pentagon. He has 20 years of professional experience and expertise in network topologies, design, implementation, architecture, and cybersecurity. He has extensive knowledge of and has implemented risk management frameworks, methodologies, and processes. He has been responsible for creating compliant and secure networks for multiple sites through his extensive background in intrusion detection and full network end-to-end testing. He has outstanding communication skills, a positive demeanor, and the ability to interface with all levels of an organization.

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 Data Analytics Leadership Podcast Big Data Strategy

In this podcast, John T Langton, Director of Applied Data Science, sat with Vishal, President AnalyticsWeek, and discussed his data analytics journey. He shared his insights, from his startup days to running a data science group within a big enterprise.

Timeline: 0:28 John's journey. 13:28 John's current role. 17:06 Succeeding as a data scientist in different organizations. 26:47 Challenges in putting together a data science company. 38:36 Hacks to selling innovative ideas to clients and customers. 47:20 Defining a good data science hire. 51:50 Maturity level of enterprise AI. 1:00:00 Closing remarks.

John's Recommended Read: Designing Agentive Technology: AI That Works for People Paperback http://amzn.to/2ySDHGp

Podcast Link: https://futureofdata.org/johntlangton-wolters_kluwer-discussed-ai-lead-startup-journey/

John's BIO: John Langton is Director of Applied Data Science at Wolters Kluwer. He was previously worked as Director of Data Science at athenahealth, CEO of VisiTrend, a visual analytics company that was acquired by Carbon Black in 2015. He has a Ph.D. in computer science and an extensive background in AI, machine learning, big data analytics, and visualization. Prior to founding VisiTrend, John was Principal Investigator (PI) on several DoD projects at Charles River Analytics (CRA). He has taught classes at Brandeis University and has several peer-reviewed publications.

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 Data Analytics Leadership Podcast Big Data Strategy

In this Podcast Clayton, @theclaymethod from @TiVo sat with Vishal to talk about his experience running analytics group within media landscape and shed light on running analytics in media industry.

Timeline: 0:29 Clayton's journey. 2:50 Clayton's current role as the director of Tivo. 5:13 Clayton's path to become a data scientist. 9:10 Analytics in the media. 12:06 Data in the creative industry. 14:32 Interesting use cases of data in media industry. 17:03 Classifying data for different media platforms. 18:48 Defining a typical data scientist in the media industry. 22:12 Art of doing business and science of doing business. 25:02 Putting together a data science team. 29:26 Successful KPIs in the media industry. 32:47 Interesting companies and products and their data practice. 34:22 Knowing the requirement of an AI/ML model in a business. 37:02 Data science practice in bigger companies. 38:33 Clayton's choice of the media industry. 39:42 Advice for data analysts who want to enter the media industry. 41:42 Mentorship and buddy system. 44:06 Advice for those who are from non engineering background. 47:40 Clayton's favorite reads. 49:40 Clayton's next ideal hire. 51:15 Closing remarks.

Podcast link: https://futureofdata.org/futureofdata-with-theclaymethod-tivo-discussing-running-analytics-in-media-industry/

Bio: Clayton Kim is the Director of Data Science at TiVo, responsible for managing the applications of machine learning and statistical research on TV consumption data. Before TiVo, Clayton was the Sr. Manager of Data Science at Localytics, working on applying predictive intelligence to mobile app analytics and messaging.

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 @ http://play.analyticsweek.com/guest/

Want to sponsor?

Email us @ [email protected]

Keywords:

FutureOfData

Data

Analytics

Leadership Podcast

Big Data

Strategy

In this conversation, Angela & Joshua from Booz Allen sat down with Vishal to discuss the Mathematical Corporation. They discussed some of the stories, challenges, and opportunities facing any corporation on their journey to a Mathematical corporation.

Timeline: 0:29 Angela and Josh's introduction. 4:00 Inspiration behind their book. 8:20 Machine Intelligence. 12:27 Ideal fit for a business to embrace mathematical organization. 14:54 Convincing executives towards data science. 19:20 Working with data science skeptics. 23:02 How much percent data-driven should a company be? 26:38 Mathematical models being predictable in an unpredictable environment. 30:25 Mathematical organization response to open sources. 34:14 AI the job enabler. 36:52 Advice for small businesses to be data-driven. 39:36 A fully mature mathematical corporation. 44:16 Sleeping on the wheel. 45:28 An ideal reader for the book "Mathematical Corporation". 48:37 The aha moment while writing the book. 50:40 Creating awareness for business to be data-driven. 54:18 Takeaways from "Mathematical Corporation".

Their Book: The Mathematical Organization is out to help the business stay data-driven and competitive. You could download the book @ http://amzn.to/2hNsoaH

THE MATHEMATICAL CORPORATION: Where Machine Intelligence and Human Ingenuity Achieve the Impossible (PublicAffairs; June 6, 2017), by Booz Allen Hamilton machine intelligence experts Joshua Sullivan and Angela Zutavern, is the first book to show business leaders how to compete in this new era: by combining the mathematical smarts of machines with the intellect of visionary leaders.

About the Guest DR. JOSH SULLIVAN is SVP at Booz Allen Hamilton. One of the world’s leading experts in data science and machine intelligence, he was among the first people to hold the title “data scientist.” He has appeared on CNBC.

ANGELA ZUTAVERN is VP at Booz Allen Hamilton and pioneered the application of machine intelligence to leadership and strategy. Together, they’re radically transforming how Fortune 500 companies, nonprofits, and major government agencies perform by helping leaders shatter long-held constraints and reveal hidden truths in their organizations. They live in Washington, D.C.

Podcast link: https://futureofdata.org/angelazutavern-joshdsullivan-boozallen-discussed-mathematical-corporation-futureofdata/

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