In this session, Frank Calderoni, CEO Anaplan shared how to build a company that sees hypergrowth by upstanding the character of the company. He shared his insights on his journey in leading a large organization while still maintaining the character-led culture.

Bio: Frank Calderoni is the Chief Executive Officer of Anaplan and the chairman of the company’s board of directors. Frank is a technology industry veteran with over 30 years of successful executive leadership. Before joining Anaplan, Frank served as the Executive Vice President (EVP), Operations, and Chief Financial Officer (CFO) of Red Hat, Inc. from June 2015 to January 2017. He also served as EVP and CFO at Cisco Systems, Inc. for seven years. Prior to that, he served as Cisco’s Senior Vice President (SVP), Customer Solutions Finance, and Vice President, Worldwide Sales Finance. Frank joined Cisco in 2004 from QLogic Corporation, where he was the SVP and CFO. Prior to that, he was the SVP, Finance & Administration, and CFO for SanDisk Corporation. Frank also sits on the board of Adobe Systems, Inc.

Franks Book: Upstanding: How Company Character Catalyzes Loyalty, Agility, and Hypergrowth by Frank A. Calderoni https://amzn.to/3z7igws

Discussion Timeline: 0:57 Frank's journey. 2:11 Thoughts on meaning of success for a leader in a large organization. 4:13 Financial metrics vs employee happiness. 8:42 Culture is built from bottom up or top down? 12:00 Culture and strategy. 14:19 Leadership during uncertain times. 19:33 The story behind the book "Upstanding". 20:52 The timing of the book "Upstanding". 24:17:00 How to gauge the character of an organization? 26:39:00 Influence of a leader in determining the character and culture of an organization. 28:23:00 The ideal reader for the book "Upstanding". 30:06:00 Rapidfire with Frank. 33:17:00 Frank's favorite reads. 34:29:00 Closing remarks. 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 podcast, Matt Blumberg discussed his book Startup CXO, the insights it carries and shared how to build a thriving leadership that builds for tomorrow today. He sheds light on the importance of a good leader and how to achieve it effectively.

Matt's Recommended Read: The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers Ben Horowitz https://amzn.to/3edvsHV The Oxygen Advantage: Simple, Scientifically Proven Breathing Techniques to Help You Become Healthier, Slimmer, Faster, and Fitter by Patrick McKeown https://amzn.to/3k994TR

Matt's Book: Startup CXO: A Field Guide to Scaling Up Your Company's Critical Functions and Teams by Matt Blumberg , Peter M. Birkeland https://amzn.to/3AWuyJL

Podcast Link: iTunes: http://math.im/jofitunes Youtube: http://math.im/jofyoutube

Matt is the founder and CEO of Bolster, a new talent marketplace for on-demand executives and board members launched in 2020. Matt was previously Chairman & CEO of Return Path, the market leader in email optimization, from 1999, until its sale to Validity. Under Matt’s leadership, Return Path won numerous employer of choice awards including #2 on Fortune Magazine’s “Best Companies to Work for” list. Prior to founding Return Path, Matt founded the Internet division of MovieFone (777-FILM) and had previously worked in venture capital and management consulting. Matt is Founder and Chairman of Path Forward, a non-profit that was spun out of Return Path in 2016 whose mission is to empower people to restart their careers after time spent focused on caregiving. He is also the author of Startup CEO: A field guide to scaling up your business, second edition published by Wiley & Sons in 2020, Startup CXO: A Field Guide to Scaling Your Company’s Critical Teams, published by Wiley & Sons in 2021, and the forthcoming second edition of Startup Boards, to be published by Wiley & Sons in 2021 or 2022.

Timelines: 1:10 Matt's journey. 3:22 The need for Bolster. 6:11 Tenets of a successful startup. 8:08 The kind of leadership required for a successful startup. 11:08 Best practices building a successful culture for a startup. 13:27 Pitfalls in leading a startup. 16:40 Qualities of a successful leader. 18:48 Tenets of a good leader in a startup environment. 22:00 Differentiating team expectations in small, mid, and large organizations. 24:06 Tips on grooming leaders in an organization. 25:47 The idea behind the book "Future of Thriving Startup CXO". 30:27 Research behind the book "Future of Thriving Startup CXO". 32:48 Picking the right authors for the book "Future of Thriving Startup CXO". 35:42 How does the on-demand leadership model fit into the life of a startup? 40:39 The role of technology in getting further access to leadership talent. 41:43 The future of leadership. 43:40 Rapidfire with Matt. 45:32 Matt's success mantra. 48:50 Matt's favorite reads. 50:20 Closing remarks.

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

In this show, Jeffrey Hull talks about his book Flex. He shared insights on the art and science of being a great leader. He shared the anatomy of leadership and the ingredients of those who do it successfully.

Bio: Jeffrey Hull, Ph.D. BCC is CEO of Leadershift, Inc. a leadership development consultancy based in New York City and author of the best-selling book, FLEX: The Art and Science of Leadership in A Changing World, from Penguin-Random House in 2019. A highly sought-after speaker, consultant, and executive coach with over twenty-five years working with C-suite leaders worldwide, Dr. Hull is also a Clinical Instructor in Psychology at Harvard Medical School and adjunct Professor of Leadership at New York University. He is the Director of Education and Business Development at the Institute of Coaching, a Harvard Medical School Affiliate. Dr Hull has been featured in Harvard Business Review, The New York Times, Investors Business Daily, and a wide range of media. He can be reached at www.jeffreyhull.com.

Jeffrey’s Book: Flex: The Art and Science of Leadership in a Changing World by Jeffrey Hull https://amzn.to/36xXRnZ

Timeline: 0:55 Jefferey's journey 3:17 How much of leadership is art and science? 5:55 The evolution of leadership over thousands of years. 11:02 Does leadership influence culture or culture influences a leader? 14:31 Empirical, scientific decision making Vs normal decision making. 19:05 The necessity of a leader in today's data-driven times. 21:57 The right leadership model for a well-led organization. 25:17 The role of leadership in a flattening organization. 28:54 Tenets of a good leader. 34:08 The importance of having a coach, a mentor in an employee's work-life. 37:39 The difference between a leader and a manager. 43:27 Misconceptions of leadership. 45:43 About the book "Flex". 49:02 The idea reader for "Flex". 50:31 Having access to a coaching book early on in an employee's career. 54:53 Rapid fire. 59:02 Jeffery's success mantra. 1:01:37 Being vulnerable as a leader. 1:03:22 Jeffery's favorite reads. 1:05:44 Closing remarks.

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 work 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 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

In this podcast, Ben Pring co-founded and leads the Center for the Future of Work at Cognizant discussed the challenges of technology and transformation as we go through the future of work. Ben shared some challenges of not doing technology transformation properly. He also talked about his book Monster sharing similar insights as it relates to technology and its adoption.

Introduction: Ben Pring co-founded and leads the Center for the Future of Work at Cognizant, a $16+ billion American multinational technology company that provides consulting, information technology, and outsourcing services and has over 289,500 employees. Ben sits on the advisory board of the Labor and Work-Life program at Harvard Law School. In 2018 Ben was a Bilderberg Meeting participant. Ben was named as one of 30 management thinkers to watch in 2020 by Thinkers 50. He was recently named a leading influencer on the future of work by Onalytica. In 2007, Ben won Gartner's prestigious Thought Leader Award. His work has been featured in the Wall Street Journal, the Financial Times, the London Times, the Drucker Forum Report, Business Insider, Forbes, and Fortune. Based near Boston since 2000, Ben graduated with a degree in Philosophy from Manchester University, in the UK where he grew up.

Here's the GPS for the questions (These are just the boundaries questions to give a rough journey for the conversation):

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 work today? 4. Why did you chose to invest yourself in FutureOfWork 5. How has the future of work changed since the last year? 6. What is one thing people get wrong about Work & Technology?

Stage 3: Introduction as an author 7. Why do you call technology a "monster" that we can't yet tame? 8. Why did you feel it was important for you as tech insiders to speak up about a topic that many others are running from? 9. What's been missing from today's heated conversation about technology's rising power? 10. Why write monster? 11. Why relate technology with a monster? 12. How to reclaim control of technology? 13. What is the role of government? 14. What is the role of business? 15. What is the role of a leader?

Stage 4: Rapid Fire with Ben Pring [Say what comes to your mind] 16 a. #FutureOfWork 16 b. #Technology 16 c. #Leadership 16 d. #Monster 16 e. #Equity 16 f. #Diversity 16 g. #Legislature 16 h. #JobsOfFuture 16 i. #FutureOfLearning 16 j. #Something exciting 16 k. #Things that keep you up at night?

Stage 5: Closing 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 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, Dr. Michael Stonebraker discussed his perspective on the growing data ops industry and its future. Dr. Stonebraker has launched several startups that defined data ops. He shares his insights into the data ops market and what to expect in the future of data and operations.

Timeline: 0:30 Mike's take on the "no sequel movement". 6:48 Evolution of database. 13:55 Mobility of data and cloud. 18:41 Tamr's shift from the database to AI. 29:00 Ingredient for a successful start-up. 36:50 Leadership qualities that keep you successful and sane. 41:50 Mike's parting thoughts.

Podcast Link: https://futureofdata.org/dr-mikestonebraker-on-the-future-of-dataops-and-ai/

Dr. Stonebraker's BIO: Dr. Stonebraker has been a pioneer of database research and technology for more than forty years. He was the main architect of the INGRES relational DBMS, and the object-relational DBMS, POSTGRES. These prototypes were developed at the University of California at Berkeley, where Stonebraker was a Professor of Computer Science for twenty-five years. More recently, at M.I.T., he was a co-architect of the Aurora/Borealis stream processing engine, the C-Store column-oriented DBMS, the H-Store transaction processing engine, which became VoltDB, the SciDB array DBMS, and the Data Tamer data curation system. Presently he serves as an advisor to VoltDB and Chief Technology Officer of Paradigm4 and Tamr, Inc.

Professor Stonebraker was awarded the ACM System Software Award in 1992 for his work on INGRES. Additionally, he was awarded the first annual SIGMOD Innovation award in 1994 and was elected to the National Academy of Engineering in 1997. He was awarded the IEEE John Von Neumann award in 2005 and the 2014 Turing Award and is presently an Adjunct Professor of Computer Science at M.I.T, where he is co-director of the Intel Science and Technology Center focused on big data.

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 by emailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

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, Seth Stephens-Davidowitz (@SethD_S), author of New York Times Bestseller Everybody Lies, discussed what our social data knows about us. He shares some critical insights into the human psyche on how humans behave differently to machines than fellow humans. This sheds some interesting light on today's data-driven disruptive times when curiosity to stay relevant and data-driven is at an all-time high. This is a great podcast to understand the capability that data has and how it could benefit humanity, businesses, and clients if used properly—a great session for anyone willing to understand the depth of data and how to use it effectively.

Timelines: 0:29 Seth's journey. 4:23 Story behind "Everybody lies". 7:27 Finding the right searches to analyze. 8:42 Surprising findings on analyzing the internet searches of people. 10:50 Confusion and human search data. 12:55 Google search recommendation's effect on human search data. 15:47 To google or not to google. 17:48 Are surveys reliable? 19:29 Safeguarding against fake data. 22:30 Compromised privacy may be a good thing. 24:30 Seth's favorite tool or language. 25:40 Challenges in working with data. 26:22 Finding a hypothesis in human search data. 28:02 Political predictions through data. 32:10 On Cambridge Analytica 35:05 The ethics of data. 39:05 On AI 41:24 Defining a data scientist. 43:11 Key points of "Everybody lies". 44:17 Secret behind Seth's success. 45:50 Journey from a basketball to data scientist. 48:03 Seth's favorite reads. 48:34 Key takeaways.

Seth's Book: Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are by Seth Stephens-Davidowitz amzn.to/2OA0YBs

Seth's Recommended Read: Enlightenment Now: The Case for Reason, Science, Humanism, and Progress by Steven Pinker amzn.to/2Kl2nsr

Podcast Link: https://futureofdata.org/understand-social-data-to-know-human-psyche-seths_d-author-nytbestseller-everybody-lies-futureofdata-podcast/

Seth's BIO: Seth Stephens-Davidowitz has used data from the internet -- particularly Google searches -- to get new insights into the human psyche.

Seth has used Google searches to measure racism, self-induced abortion, depression, child abuse, hateful mobs, the science of humor, sexual preference, anxiety, son preference, and sexual insecurity, among many other topics.

His 2017 book, Everybody Lies, published by HarperCollins, was a New York Times bestseller, a PBS NewsHour Book of the Year, and an Economist Book of the Year.

Seth worked for one-and-a-half years as a data scientist at Google and is currently a contributing op-ed writer for the New York Times. He is a former visiting lecturer at the Wharton School at the University of Pennsylvania. He received his BA in philosophy, Phi Beta Kappa, from Stanford, and his Ph.D. in economics from Harvard.

In high school, Seth wrote obituaries for the local newspaper, the Bergen Record, and was a juggler in theatrical shows. He now lives in Brooklyn and is a passionate fan of the Mets, Knicks, Jets, Stanford football, and Leonard Cohen.

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 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 Mike Tamir (@MikeTamir, Head of #DataScience) talked about building a data science AI team. He shared his AI project (FakerFact.org). He shared the lifecycle of an AI project and some things that leaders could keep in mind to help create a successful data science AI team. This podcast is great for leaders learning to build a strong AI workforce.

TIMELINE: 0:28 Micheal's journey. 2:36 Micheal's current role. 3:18 AI and businesses. 5:28 Parameters to consider for AI adoption. 9:30 When do businesses invest in ML resources. 13:20 Tips for candidates in vetting data companies. 16:05 What's the faker fact? 20:45 Getting started on an AI product design. 24:58 Achieving accuracy in data. 27:40 AI the newsmaker and AI the fact-checker. 33:56 Tips for hiring the right data leader for a business. 35:32 Creating a great data science team. 37:19 Challenges in forming a data science team. 39:00 In job training to achieve technological competence. 44:00 Ingredients of a good hire. 47:35 Micheal's secret to success. 50:55 Micheal's favorite reads. 54:20 Key takeaways.

Mike's Recommended Read: What Technology Wants by Kevin Kelly https://amzn.to/2MaNiuN Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville http://www.deeplearningbook.org/

Podcast Link: https://futureofdata.org/building-data-science-ai-teams-by-miketamir-uberatg-futureofdata-podcast/

Mike's BIO: Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and head of Phronesis ML Labs. He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust and Takt, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize, where he founded the galvanizeU-UNH accredited Masters of Science in Data Science degree and oversaw the company's transformation from co-working space to Data Science organization. Mike's most recent passion in research has involved applying Machine Learning techniques to help combat fake news through the FakerFact.org project

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 @ https://analyticsweek.com/

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, Alex Wissner-Gross from Gemedy sat with Vishal Kumar from AnalyticsWeek to discuss the convoluted world of intelligence in artificial intelligence. He sheds deep insights on what machines perceive as intelligence and how to evaluate the current unwrapping of AI capabilities. This podcast is a must-attend for anyone who wishes to understand what AI is all about.

Timeline: 0:28 Alex's journey. 7:20 Alex's role in Gemedy. 9:19 Physics of AI. 12:05 General use cases for distribution of AI capabilities. 15:00 State of AI. 20:03 Defining intelligence. 23:42 Maximum freedom of action. 28:12 Intelligence and maximizing future freedom of action. 30:10 Maximum freedom of action and maximizing impact. 31:45 Thoughts on deep learning. 36:55 Data sets or data models? 39:27 AI in the context of business? 44:08 AI and the protection of human interests. 48:40 AI that ensures the employability of humans. 51:11 Advice for businesses to get started with AI. 59:01 Alex's ingredients to success. 1:01:16 Alex's favorite reads. 1:04:26 Key takeaways.

Alex's Recommended Listen: Accelerando (Singularity) Mass Market by Charles Stross (Author) https://amzn.to/2GDkBUl Diaspora: A Novel by Greg Egan https://amzn.to/2s1GF5L Rainbows End: A Novel with One Foot in the Future Mass Market by Vernor Vinge https://amzn.to/2J3oarQ

Podcast Link: https://futureofdata.org/alexwg-on-unwrapping-intelligence-in-artificialintelligence-futureofdata/

Alex's BIO: Dr. Alexander D. Wissner-Gross is an award-winning scientist, engineer, entrepreneur, investor, and author. He serves as President and Chief Scientist of Gemedy and holds academic appointments at Harvard and MIT. He has received 125 major distinctions, authored 18 publications, been granted 24 issued, pending, and provisional patents, founded, managed, and advised 4 technology companies that were acquired for a combined value of over $600 million. In 1998 and 1999, he won the USA Computer Olympiad and the Intel Science Talent Search. In 2003, he became the last person in MIT history to receive a triple major, with bachelor's in Physics, Electrical Science and Engineering, and Mathematics, while graduating first in his class from the MIT School of Engineering. In 2007, he completed his Ph.D. in Physics at Harvard, where his research on neuromorphic computing, machine learning, and programmable matter was awarded the Hertz Doctoral Thesis Prize. A thought leader in artificial intelligence, he is a contributing author of the New York Times Science Bestseller, This Idea Must Die, and the Amazon #1 New Release, What to Think About Machines That Think. A popular TED speaker, his talks have been viewed more than 2 million times and translated into 27 languages. His work has been featured in more than 200 press outlets worldwide, including The Wall Street Journal, BusinessWeek, CNN, USA Today, and Wired.

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, 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, Rahul Kashyap(@RCKashyap) talks about the state of security, technology, and business crossroad on Security and the mindset of a security led technologist. He sheds some light on past, present, and future security risks discussed some common leadership concerns, and how a technologist could circumvent that. This podcast is a must for all technologists and wannabe technologists to grow their organization.

Timeline: 0:29 Rahul's journey. 4:40 Rahul's current role. 7:58 How the types of cyberattacks have changed. 12:53 How has IT interaction evolved? 16:50 Problems security industry. 20:12 Market mindset vs. security mindset. 23:10 Ownership of data. 27:02 Cloud, saas, and security. 31:40 Priorities for securing an enterprise. 34:50 How security is secure enough. 37:40 Providing a stable core to the business. 41:11 The state of data science vis a vis security. 44:05 Future of security, data science, and AI. 46:14 Distributed computing and security. 50:30 Tenets of Rahul's success. 53:15 Rahul's favorite read. 54:35 Closing remarks.

Rahul's Recommended Read: Mindset: The New Psychology of Success – Carol S. Dweck http://amzn.to/2GvEX2F

Podcast Link: https://futureofdata.org/rckashyap-cylance-on-state-of-security-technologist-mindset-futureofdata-podcast/

Rahul's BIO: Rahul Kashyap is the Global Chief Technology Officer at Cylance, where he is responsible for strategy, products, and architecture.

Rahul has been instrumental in building several key security technologies viz: Network Intrusion Prevention Systems (NIPS), Host Intrusion Prevention Systems (HIPS), Web Application Firewalls (WAF), Whitelisting, Endpoint/Server Host Monitoring (EDR), and Micro-virtualization. He has been awarded several patents for his innovations. Rahul is an accomplished pen-tester and has in-depth knowledge of OS, networking, and security products.

Rahul has written several security research papers, blogs, and articles that are widely quoted and referenced by media around the world. He has built, led, and scaled award-winning teams that innovate and solve complex security challenges in both large and start-up companies.

He is frequently featured in several podcasts, webinars, and media briefings. Rahul has been a speaker at several top security conferences like BlackHat, BlueHat, Hack-In-The-Box, RSA, DerbyCon, BSides, ISSA International, OWASP, InfoSec UK, and others. He was named 'Silicon Valley's 40 under 40' by Silicon Valley Business Journal.

Rahul mentors entrepreneurs who work with select VC firms and is on the advisory board of tech start-ups.

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