Discussion, session and conversation with leaders, influencers and trend setters that are defining the future of data.
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 info@tao.ai 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 info@tao.ai 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 info@tao.ai 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 info@tao.ai 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 info@tao.ai Keywords: #FutureofWork #Work2.0 #Work2dot0 #Leadership #Growth #Org2dot0 #Work2 #Org2
In this podcast, Jim Harter discussed one of Gallup's most extended run studies to understand the traits of manager. He sheds light on the qualities of a manager and what all tools and resources they need to succeed. Jim discussed his latest book, “Its the Manager” and how the book is a compilation of some common traits of winning manager. Jim also discussed his journey of leading a sizeable data-centric organization and what all it takes to create a research when you are inundated with data. This is an excellent podcast for data-centric leaders trying to understand the future of data. Timeline: 1:36 Jim's background. 4:28 What does Gallup do? 6:57 Designing a research report. 10:07 Perspective on evolution of companies. 14:12 Views on gig workers. 16:53 On the book “It's the manager”. 19:50 Research behind “It's the manager”. 22:23 Researching managers. 27:17 Managerial traits that can be easily worked on. 30:11 Definition of a hallmark company. 34:00 Surprises while researching “It's the manager”. 37:44 Ideal reader for “It's the manager”. 39:21 Thought behind designing “It's the manager”. 41:24 Limiting the charts from the book. 43:36 Sequal for “It's the manager”. 45:00 Jim's success mantra. 47:30 Keeping away from bias. 50:20 Future of research organizations. 54:25 Jim's favorite reads. 57:42 Closing remarks. Jim's Book: The Manager https://amzn.to/2ST3Xbe Jim's Recommended Read: Abram Maslow https://amzn.to/2wu8ERl, Thinking Fast and Slow https://amzn.to/2VdPAkP Peter Drucker https://amzn.to/39LZ3nj Happiness Hypothesis https://amzn.to/2V2Csig Podcast Link: iTunes:https://podcasts.apple.com/us/podcast/jim-harter-gallup-on-defining-winning-traits-manager/id1207582205?i=1000465980445 Jim's BIO: Jim Harter, Ph.D., is Chief Scientist, Workplace for Gallup and co-author of It's the Manager (Gallup Press; May 7, 2019). He has led more than 1,000 studies of workplace effectiveness, including the largest ongoing meta-analysis of human potential and business unit performance. The bestselling author of 12: The Elements of Great Managing and Wellbeing: The Five Essential Elements, Harter, has also published articles in many prominent business and academic journals. About #Podcast: Work 2.0 Podcast is created to spark the conversation around the future of work, worker, and workplace. This podcast invite movers and shakers in the industry who are shaping or helping us understand the transformation in work. Wanna Join? If you or any you know wants to join in, Register your interest by emailing: info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com Keywords: Work 2.0 Podcast, #FutureOfWork, #FutureOfWorker, #FutureOfWorkplace, #Work, #Worker, #Workplace,
In this podcast, Rishad Tobaccowala discussed the importance of understanding the soul of the business. He emphasized how important it is to nurture creativity. He warned about not getting distracted with too much math but also keep an eye on the mission. This will help create a human-centric and human-powered organization. A session is a good watch for aspiring leaders tasked to build future organizations amidst the age of data and intelligence. Timeline: 1:31 Rishad's journey. 5:05 Rishad's current role. 8:42 On Publicis. 12:03 Transformational changes in the media industry. 20:26 Transforming a culture heavy company. 30:43 Math is good but don't forget the mission. 35:16 Staying human in the age of data. 46:50 The mental operating system. 53:12 Leading with the soul. 56:43 Striking a balance between data and creativity. 1:00:30 Rishad's success mantra. 1:06:25 Rishad's favorite reads. 1:13:08 Closing remarks. Rishad's Book: Restoring the Soul of Business: Staying Human in the Age of Data by Rishad Tobaccowala, Tom Parks https://amzn.to/2KG8fPu Podcast Link: iTunes:https://podcasts.apple.com/us/podcast/restoring-the-soul-of-the-business-with-rishad-tobaccowala/id1207582205?i=1000474565469 Rishad's BIO: RISHAD TOBACCOWALA is a chief growth officer at Publicis Groupe, an advertising and communications firm with 80,000 employees worldwide. Hailed by Time magazine as one of the top five marketing innovators and recognized by BusinessWeek as one of the top business leaders, he regularly presents keynotes at industry conferences and speaks at global organizations such as Kellogg's, IBM, Amazon, Google, and Facebook. Some Questions we talked about: Explain your journey to your current role? Could you share something about your current role? What does the Publicis Group do? Why write this book? What are the premises of this book? So how do we stay human in the age of data? You talked about that businesses have too much math and so little meaning, could you elaborate on that? How to stay human in the age of data, what is your recipe? Did you talk about Mental Operating System, talk to us about that? How does one lead with the soul? You talked about data blinded companies, what are those, and if you are one, how would you know? Data had been feeding into our culture for so long, how businesses could get their creativity back? How could companies strike a balance between data and creativity? Read more at: https://work2.org/rishad-tobaccowala-rishad-on-restoring-the-soul-of-business-work2dot0-podcast/
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 info@tao.ai 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 info@tao.ai 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 info@tao.ai 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com Keywords: FutureOfData, DataAnalytics, Leadership, Futurist, Podcast, BigData, Strategy
In this podcast, Nathan Furr(@nathan_furr) talks about leading transformation. He shares some of the crucial ingredients of transformational leaders. He sheds some light on how businesses could improve their storytelling to get the transformation agenda across. He shares some cool tips and tricks that help leaders plan for a transformation across data-driven and disruptive times. Timeline: 1:39 Nathan's journey. 4:49 Nathan's current role. 13:55 Transforming legacy old company. 21:52 The right moment for companies to think about data transformation. 26:38 Using comic books to share transformational stories. 34:32 Who's the most responsible person in an organization for transformation? 39:13 Qualities a leader must have for bringing in transformational change. 43:40 Nathan's success mantra. 47:57 Nathan's favorite reads. 50:29 Closing remarks. Nathan's Recommended Read: East of Eden (Penguin Twentieth-Century Classics) by John Steinbeck, David Wyatt https://amzn.to/2S9MHA0 Nathan's Books The Innovator's Method: Bringing the Lean Start-up into Your Organization by Nathan Furr, Jeff Dyer, Clayton M. Christensen https://amzn.to/2TeadJE Leading Transformation: How to Take Charge of Your Company's Future by Nathan Furr, Kyle Nel, Thomas Zoega Ramsey https://amzn.to/2CTw16z Nail It then Scale It: The Entrepreneur's Guide to Creating and Managing Breakthrough Innovation: The lean startup book to help entrepreneurs launch a high-growth business by Nathan Furr, Paul Ahlstrom https://amzn.to/2UfTpSC Podcast Link: https://futureofdata.org/leading-transformation-through-data-driven-times-nathan_furr-insead-futureofdata-podcast/ Nathan's BIO: Nathan Furr is a professor of strategy and innovation at INSEAD in Paris and a recognized expert in innovation and technology strategy. He has multiple books and articles published by outlets such as Harvard Business Review and MIT Sloan Management Review, including his most recent best-selling book, “The Innovator's Method” (Harvard Business Review Press, September 2014), which won multiple awards from the business press. He has two forthcoming books from Harvard Business Review Press addressing 1) how companies lead transformation and 2) how innovators win support for their ideas. Professor Furr has worked with leading companies to study and implement innovation strategies, including Google, Amazon, Citi, Deutsche Bank, Philips, Kimberly Clark, Solvay, and others. Professor Furr earned his Ph.D. from the Stanford Technology Ventures Program at Stanford University. 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com Keywords: FutureOfData, DataAnalytics, Leadership, Futurist, Podcast, BigData, Strategy
In this podcast, Bob Greifeld discussed the importance of understanding the transformation and leading the companies. Bob shared his journey of growing Nasdaq through changing market times and taking the company through intense market pressure and product competition. The session is a great watch for aspiring leaders preparing a team that plays a significant role in defining the jobs of the future. Timelines: 2:45 What's Bob's journey? 4:10 How did Bob's childhood shape him to be who he is? 5:00 How to prepare yourself for a leadership role? 7:34 How to set the right direction and pace for your company? 11:50 Tips for CEOs in implementing change? 14:34 How to find the right people to work for you? 16:25 How can you ensure that you're transforming the company at the right place? 20:06 What ecosystem do you need to be successful? 25:00 How does NASDAQ bring the up and down of market fluctuations into a single index? 27:40 Are companies focussing more on employees or shareholders? 30:48 Bob's perception of the future of work? 37:12 The ideal reader for Bob's book. 40:45 How does Bob spend his days? 43:16 Qualities that define Bob. 45:50 Bob's favorite reads. 47:54 Should a leader invest in people or technology? Bob's Recommended Read: Lincoln on Leadership: Executive Strategies for Tough Times by Donald T. Phillips amzn.to/2K0h18Q Bob's book: Market Mover: Lessons from a Decade of Change at Nasdaq - by Robert Greifeld amzn.to/34gaVKV Podcast Link: https://futureofdata.org/bob-greifeld-former-ceo-chairman-nasdaq-on-leading-the-market-through-data-transformation/ Bob's BIO: Robert Greifeld is Chairman of Virtu Financial, Inc. He previously served as Chairman of the Board of Directors of The Nasdaq Stock Market LLC (“Nasdaq”) until May 10, 2017, and as Chief Executive Officer of Nasdaq from 2003 to 2016. During his tenure, Mr. Greifeld led Nasdaq through a series of complex, innovative acquisitions that extended the company's footprint from a single U.S. equity exchange to a global exchange and technology solutions provider, nearly quadrupling revenue, growing annual operating profits by more than 24 times and achieving a market value of over $11 billion. Mr. Greifeld is a member of the Economic Club of New York and the NYU Stern Board of Overseers. He is the Founder and Chairman of the USA Track & Field Foundation, which supports emerging athletes and inner-city youth athletics. Mr. Greifeld holds a Masters in Business from New York University, Stern School of Business, and a B.A. in English from Iona College. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to come on the 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com Keywords: FutureOfData, DataAnalytics, Leadership, Futurist, Podcast, BigData, Strategy
Dr. @MikeStonebraker on his journey to the evolution of data ops and winning #Turing Award #FutureOfData #Leadership #Podcast Timeline: 0:29 Mike's journey. 30:23 Reason behind Mike's preference of academia over the corporate. 38:50 Tips to leaders on data management. In this podcast, Dr. Michael Stonebraker discussed his journey into creating data ops and winning the Turing award. He shared his life's several aha moments and progressions that mirrored the evolution of the data ops industry. It's a delightful conversation for anyone seeking to understand how data ops have evolved over the last couple of decades and what it takes to win the Turing Award. Podcast Link: iTunes: https://apple.co/2VtcX6d Youtube: https://youtu.be/bY1qjy0qpq4 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 come on the 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com Keywords: FutureOfData, DataAnalytics, Leadership, Futurist, Podcast, BigData, Strategy
In this podcast, Stephen Wunker spent time discussing the future of organizations via cost innovations and how some enterprises connect a successful pricing strategy with their data strategy. He sheds light on what some successful companies do to stay competitive and keep innovating their cost strategies to find effective customer connections. He shares some challenges that leaders face in adopting a successful cost innovation strategy. The book "Costovation" and this podcast are relevant for anyone seeking to learn about innovative ways to define their cost strategies. It is especially relevant for data science leaders to understand how they could transform sales by connecting cost and innovation. Timelines: 0:30 Stephen's journey 6:25 Introducing "costovation". 10:10 Cost management in the age of "freemium" and opensource. 12:35 Key points of "Cost-o-vation". 15:40 Resolving issues between cost and innovation. 18:26 Introducing radical ideas of innovation to companies. 21:40 Gauging innovation. 24:20 Role of data in costovation. 26:15 Why adopt cost-ovation? 31:44 Innovation tips and suggestions. 34:45 Example of a company that is practicing cost-o-vation. 37:15 Tenets of good leadership. 39:50 Scalability of cost-o-vation. 43:17 cost-ovation and the customer. 47:47 Stephen's favorite reads. 49:45 Key takeaways. Stephen's Book: Costovation: Innovation That Gives Your Customers Exactly What They Want--And Nothing More by Stephen Wunker, Jennifer Luo Law amzn.to/2xYyRFs Stephen's Recommended Read: The Three-Box Solution: A Strategy for Leading Innovation by Vijay Govindarajan amzn.to/2y2Sex6 Made to Stick: Why Some Ideas Survive and Others Die by Chip Heath, Dan Heath amzn.to/2Ct2SRV The Innovator's Solution: Creating and Sustaining Successful Growth by Clayton M. Christensen, Michael E. Raynor amzn.to/2DZ6jRK Podcast Link: https://futureofdata.org/stephen-wunker-on-future-of-customer-success-through-cost-innovation-and-data/ Stephen's BIO: Stephen Wunker is the founder and managing director of New Markets Advisors, a Boston-based consultancy focused on innovation and growth strategy. With a long track record of creating successful ventures, Stephen has consulted multinational firms and start-ups across six continents, developing dozens of new growth platforms for clients over the past decade. He also pioneered both mobile commerce and mobile marketing, and he led the team that created one of the world's first smartphones. In addition to his entrepreneurial and corporate ventures, he was a long-term colleague of the leading innovation authority Harvard Business School Professor Clayton Christensen in establishing his consulting practice, Innosight. His previous experience includes years with the management consultancy Bain & Company, the Rockefeller Brothers Fund, and the Soros Foundations. Stephen holds an MBA from Harvard Business School, a Master's in Public Administration from Columbia University, and a BA cum laude from Princeton University. Coauthor of “COSTOVATION: Innovation that Gives Your Customers Exactly What They Want—and Nothing More” (HarperCollins Leadership, Aug. 14), his third book, Stephen has contributed to Harvard Business Review, Forbes, and a range of journals, and has appeared on Bloomberg TV, BBC and other broadcasts. He has lived in the United States, United Kingdom, Netherlands, Japan, Ecuador, and Zambia, and is now based in Boston. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to come on the 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com Keywords: FutureOfData, DataAnalytics, Leadership, Futurist, Podcast, BigData, Strategy
In this podcast, Erika from Proteus International talks about the state of leadership today. She sheds light on data-driven leaders and leaders leading the organizations to the future. She suggests some key insights, tactical steps, and some stories to help understand today's leaders' fabric leading tomorrow's organizations. Timeline: 0:28 Erica's journey? 7:15 Advice to emerging leaders. 12:13 Adapting to change. 15:15 Tackling unconscious bias. 17:05 Evolution of leadership. 22:26 Taking the road not taken. 27:30 Expectations of leaders towards his/her business. 32:24 Investing in people or technology? 37:46 Getting the right feedback. 43:40 Example unbiased leadership. 51:20 Women in a leadership role. 57:48 Erica's secret for success. Erika's Book: Be Bad First: Get Good at Things Fast to Stay Ready for the Future by Erika Andersen https://amzn.to/2L2DI01 Erika's Recommended Read: Good to Great: Why Some Companies Make the Leap and Others Don't by Jim Collins https://amzn.to/2JhswYG Dan Pink Books https://amzn.to/2Nc0X5s Podcast Link: https://futureofdata.org/preparing-the-leaders-for-datadriven-future-erikaandersen/ Erika's BIO: Erika Andersen is the founding partner of Proteus, a coaching, consulting, and training firm that focuses on leader readiness. Over the past 30 years, Erika has developed a reputation for creating approaches to learning and business-building tailored to her clients' challenges, goals, and culture. She and her colleagues at Proteus focus uniquely on helping leaders at all levels get ready and stay ready to meet whatever the future might bring. Much of her recent work has focused on organizational visioning and strategy, executive coaching, management, and leadership development. In these capacities, she serves as consultant and advisor to the CEOs and/or top executives of several corporations, including NBCUniversal, Facebook, Hyatt Hotels Corporation, GE, Hulu, and Madison Square Garden. She also shares her insights about managing people and creating successful businesses by speaking to corporations, non-profit groups, and national associations. Her books and learning guides have been translated into Spanish, Turkish, German, French, Russian, and Chinese. She has contributed to and been quoted in various national publications, including the Harvard Business Review, Wall Street Journal, Fortune, and The New York Times. Erika is also one of the most popular leadership bloggers at Forbes.com. She is the author of Be Bad First—Get Good at Things FAST to Stay Ready for the Future (Bibliomotion, 2016), Leading So People Will Follow (Jossey-Bass, 2012), Being Strategic: Plan for Success; Outthink Your Competitors; Stay Ahead of Change (St. Martin's Press, May 2009), and Growing Great Employees: Turning Ordinary People into Extraordinary Performers (Portfolio, 2006), and the author and host of the Proteus Leader Show a regular podcast that offers quick, practical support for leaders and managers. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey in creating the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Futurist #Podcast #BigData #Strategy
In this podcast, Don Kettl, Professor, LBJ School, the University of Texas at Austin, talks about the future of the public sector in the mid of data and analytics capability disruptions. Don talked about some of the biggest opportunities in the public policy space. He sheds light on how the future public policy officers would design the organizations that grow with time. He sheds light on the future of jobs in the public sector and how data could disrupt the space to increase its impact. This session is great for people interested in learning about public sector data and jobs impact through big data evolution. TIMELINE: 0:28 Don's journey. 5:16 Premise of "Little bites of big data policy". 7:16 Data in the government sector. 11:18 Example of good data framework in state governments. 13:49 The need for good cooperation between the private and public sectors. 17:56 Opportunities for data in the public sector. 21:37 The failure of data in the public sector. 27:54 Perspective on open data. 33:58 Future of data in the public sector. 41:42 The role of government in data businesses. 48:58 Can government data policies go global? 55:56 Don's success mantra. 59:43 Don's reading list. 1:01:30 How does Don avoid bias? 1:07:00 Key takeaways. Don's Book: Little Bites of Big Data for Public Policy by Donald F Kettl amzn.to/2zfpKDn Politics of the Administrative Process by Donald F Kettl amzn.to/2KS34KY and more at: amzn.to/2u12gg8 Podcast Link: https://futureofdata.org/future-of-public-sector-and-jobs-in-bigdata-world-futureofdata-podcast/ Don's BIO: Donald F. Kettl is a professor at the Lyndon B. Johnson School of Public Affairs at the University of Texas at Austin. He is also a nonresident senior fellow at the Volcker Alliance and the Brookings Institution. Kettl is the author or editor of numerous books, including Can Governments Earn Our Trust? (2017); Little Bites of Big Data for Public Policy (2017); The Politics of the Administrative Process (7th edition, 2017). Three of his books have received national best-book awards. The Transformation of Governance (2002); and System under Stress: Homeland Security and American Politics (2005) and Escaping Jurassic Government: How to Recover America's Lost Commitment to Competence. He has received three-lifetime achievement awards: the American Political Science Association's John Gaus Award, the Warner W. Stockberger Achievement Award of the International Public Management Association, and the Donald C. Stone Award of the American Society for Public Administration, for significant contributions to the field of intergovernmental relations. Kettl holds a Ph.D. in political science from Yale University. Before his appointment at the University of Maryland, he taught at the University of Pennsylvania, Columbia University, the University of Virginia, Vanderbilt University, and the University of Wisconsin-Madison. He is a fellow of Phi Beta Kappa and the National Academy of Public Administration. He has appeared frequently in national and international media, including National Public Radio, the Fox News Channel, Good Morning America, ABC World News Tonight, NBC Nightly News, CBS Evening News, CNN's “Anderson Cooper 360” and “The Situation Room,” the Huffington Post, as well as public television's News Hour and the BBC. Kettl is a shareholder of the Green Bay Packers, along with his wife, Sue. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ analyticsweek.com/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, @RobertoMaranca shared his thoughts on running a large data-driven organization. He shared his thoughts on the future of data organizations through compliance and privacy. He shared how businesses could survive policy like GDPR and prepare themselves for better data transparency and visibility. This podcast is great for leadership, leading a transnational corporation. TIMELINE: 0:28 Roberto's journey. 8:18 Best practices as a data steward. 16:58 Data leadership and GDPR. 22:18 Impact of GDPR. 25:34 GDPR creating better knowledge archive. 29:27 GDPR and IOT infrastructure. 35:08 Shadow IT phenomenon and consumer privacy. 44:54 Suggestions for enterprises to deal with privacy disruption. 50:52 Data debt. 53:10 Opportunities in new privacy frameworks. 57:52 Roberto's success mantra. 1:02:38 Roberto's favorite reads. Roberto's Recommended Read: Team of Teams: New Rules of Engagement for a Complex World by General Stanley McChrystal and Tantum Collins https://amzn.to/2kUxW1K Do Androids Dream of Electric Sheep?: The inspiration for the films Blade Runner and Blade Runner 2049 by Philip K. Dick https://amzn.to/2xOOpxZ A Scanner Darkly by Philip K. Dick https://amzn.to/2sAsUMs Other Philip K. Dick Books @ https://amzn.to/2JBwwY0 Podcast Link: https://futureofdata.org/data-leadership-through-privacy-gdpr-by-robertomaranca/ Roberto's BIO: With almost 25 years of experience in the world of IT and Data, Roberto has spent most its working life with General Electric in their Capital Division, where since 2014, as Chief Data Officer for their International Unit, he has been overlooking the implementation of the Data Governance and Quality frameworks, spanning from supporting risk model validation to enabling divestitures and leading their more recent Basel III data initiatives. For the last year, he has held the role of Chief Data Officer at Lloyds Banking Group, shaping and implementing a new Data Strategy and dividing his time between BCBS 239 and GDPR programs. Roberto has got a Master's Degree in Aeronautical Engineering from “Federico II” Naples University. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast @BesaBauta from MeryFirst talks about the compliance and privacy challenges faced in the hyper regulated industry. With her experience in health informatics, Besa shared some best practices and challenges faced by data science groups in health informatics and other similar groups in regulated space. This podcast is great for anyone looking to learn about data science compliance and privacy challenges. TIMELINE: 0:28 Besa's journey. 6:05 Besa's current role. 9:30 Privacy and compliance in health informatics. 14:44 Are the current privacy regulations sufficient? 16:15 Data management in different organizations. 22:37 The negatives for compliance policies on data. 26:28 Hiring a good chief data officer. 30:20 Vetting a company as a CDO. 32:38 Challenges for a startup in the healthcare sector. 36:25 Common challenges for data officers in the healthcare sector. 38:29 Millenials and technology. 40:05 Leadership dealing with compliance policies. 46:26 Requirements for working in health informatics. 49:18 Ingredients of a perfect hire. 50:40 Besa's success mantra. 52:35 How does Besa stay updated? 54:37 Besa's favorite read. 57:04 Key takeaway. Besa's Recommended Read: The Art Of War by Sun Tzu and Lionel Giles https://amzn.to/2Jx2PYm Podcast Link: https://futureofdata.org/compliance-and-privacy-in-health-informatics-by-besabauta/ Besa's BIO: Dr. Besa Bauta is the Chief Data Officer and Chief Compliance Officer for MercyFirst, a social service organization providing health and mental health services to children and adolescents in New York City. She oversees the Research, Evaluation, Analytics, and Compliance for Health (REACH) division, including data governance and security measures, analytics, risk mitigation, and policy initiatives. She is also an Adjunct Assistant Professor at NYU and previously worked as a Research Director for a USAID project in Afghanistan and as the Senior Director of Research and Evaluation at the Center for Evidence-Based Implementation and Research (CEBIR). She holds a Ph.D. in implementation science with a focus on health services, an MPH in Global Health, and an MSW. Her research has focused on health systems, mental health, and technology integration to improve population-level outcomes. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast @DanDeGrazia from @IBM spoke with @Vishaltx from @AnalyticsWeek to discuss the mingling of chief data scientist with open sources. He sheds light into some of the big opportunities in open source and how businesses could work together to achieve progress in data science. Dan also shared the importance of smooth communication for success as a data scientist. TIMELINE: 0:29 Dan's journey. 9:40 Dan's role in IBM. 11:26 Tips on staying consistent while creating a database. 16:23 Chief data scientist and open-source put together. 20:28 The state of open source when it comes to data. 23:50 Evaluating the market to understand business requirements. 29:19 Future of data and open-source market. 33:23 Exciting opportunities in data. 37:06 Data scientist's role in integrating business and data. 49:41 Ingredients of a successful data scientist. 53:04 Data science and trust issues. 59:35 Human element behind data. 1:01:20 Dan's success mantra. 1:06:52 Key takeaways. Dan's Recommended Read: The Five Temptations of a CEO, Anniversary Edition: A Leadership Fable by Patrick Lencioni https://amzn.to/2Jcm5do What Every BODY is Saying: An Ex-FBI Agent8217;s Guide to Speed-Reading People by Joe Navarro, Marvin Karlins https://amzn.to/2J1RXxO Podcast Link: https://futureofdata.org/where-chief-data-scientist-open-source-meets-dandegrazia-futureofdata-podcast/ Dan's BIO: Dan has almost 30 years of experience working with large data sets. Starting with the unusual work of analyzing potential jury pools in the 1980s, Dan also did some of the first PC based voter registration analytics in the Chicago area, including putting the first complete list of registered voters on a PC (as hard as that is to imagine today a 50-megabyte hard drive on DOS systems was staggering). Interested in almost anything new and technical, he worked at The Chicago Board of Trade. He taught himself BASIC to write algorithms while working as an Arbitrager in financial futures. After the military, Dan moved to San Francisco. He worked with several small companies and startups designing and implementing some of the first PC-based fax systems (who cares now!), enterprise accounting software, and early middleware connections using the early 3GL/4GL languages. Always perusing the technical edge cases, Dan worked for InfoBright, a Column store Database startup in the US and EMEA, at Lingotek, an In-Q-Tel funded company working in large data set translations and big data analytics companies like Datameer and his current position as a Chief Data Scientist for Open Source in the IBM Channels organization. Dan's current just for fun Project is working to create an app that will record and analyze bird songs and provide the user with information on the bird and the specifics of the current song. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com 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 info@analyticsweek.com Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Aaron Black from Inova Translational Medicine Institute talks about his journey in creating/leading data science practice in healthcare. He shared some of the best practices, opportunities, and challenges concerning team dynamics, process orientation, and leadership relationship building. This podcast is great for anyone from ADP who talked about big data in HR. He shared some of the best practices and opportunities that reside in HR data. Aaron also shared some tactical steps to help build a better data-driven team to execute data-driven strategies. This podcast is great for folks looking to explore the depth of HR data and opportunities in the health and medicine domain. Timeline: 0:28 Aaron's journey. 8:16 Defining translational medicine. 11:47 Defining precision medecine. 12:47 Data sharing between pharma companies. 15:03 Defining biobanking. 18:50 Data and healthcare industry. 22:20 Best practices in creating a healthcare database. 25:46 Tackling data regulations. 30:17 Best practices in creating data literacy in employees. 33:27 The culture of data scientists in the healthcare space. 36:09 Challenges that a data science leader faces in the healthcare space. 39:25 Opportunities in health data space. 42:19 Ingredients of a good data science leader in the healthcare space. 44:38 Tips for data science leaders in the healthcare space. 47:00 Putting together a data team in the healthcare space. 50:22 Aaron's success tips. 52:49 Aaron's reading list. 55:25 Closing remark. Podcast link: https://futureofdata.org/understanding-futureofdata-in-health-medicine-thedataguru-inovahealth-futureofdata/ Aaron's Book Recommendations: Smartcuts: The Breakthrough Power of Lateral Thinking by Shane Snow amzn.to/2rH9xzJ When: The Scientific Secrets of Perfect Timing by Daniel H. Pink amzn.to/2rElebc Aaron's BIO: Aaron Black, Chief Data Officer at the Inova Translational Medicine Institute. Healthcare Information Technology Executive and Data Evangelist. A results-driven technical leader with a 20+ year record of successful project and program implementations; Visionary, collaborative, and able to devise creative solutions and culture to complex business challenges. Key thought leader, international speaker, team builder, and data architect in building advanced and one-of-a-kind technical and data infrastructure to support precision medicine initiatives in large and cutting edge health care institutions. A featured speaker and panelist at National Conferences and Councils including TEDx Tysons, NIH, Amazon ReInvent, Precision Medicine World Conference, Labroots, HIMSS, and an invited speaker at the National Research Council's Standing Committee on Biological and Physical Sciences in Space (CBPSS). Experience in start-up and new team development. Proven change-agent in diverse organizations and politically charged environments. A catalyst to create vision, motivation, and results across an entire enterprise. Creative thinker; organized, resolute, and able to direct multiple competing priorities with great precision while meeting strict deadlines and budget requirements. Strong healthcare and research industry knowledge, particularly in Life Sciences, with expertise in developing, implementing, and supporting large data enterprise architectures. Excellent interpersonal skills, work effectively with individuals of diverse backgrounds, and inspire teams to work to their fullest potential. 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 @ play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy #futureofdata leadership data in hr hr data hris big data
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 @ info@analyticsweek.com Keywords: #FutureOfData #Leadership #Podcast #Future of #Work #Worker & #Workplace
In this podcast, Harsh Tiwari, Former CDO CUNA Mutual Group, sheds light on data science leadership in the financial / risk sector. He shares some key takeaway insights for aspiring leaders to take for managing large enterprise data science practice. He shared the importance of collaborations and a growth mindset via a partnership. He discussed his "So what" approach to problem-solving. This podcast is great for any listener willing to understand some best practices for being a data-driven leader. Timeline: 0:28 Harsh's journey. 5:44 Harsh's current role. 10:17 Ideal location for a chief data officer. 14:42 Ideal CDO role and placement. 20:15 Capital One's best practices in managing data. 25:28 How are the credit unions and regional banks placed in terms of data management. 31:20 Introducing data to well-performing banks. 38:05 Getting started as a CDO in a bank. 43:21 Checklist for a business to hire a CDO. 48:35 Keeping oneself sane during the technological disruption. 54:13 Harsh's success mantra. 58:51 Harsh's favorite read. 1:02:14 Parting thoughts. Harsh's Recommended Read: Good to Great: Why Some Companies Make the Leap and Others Don't by Jim Collins https://amzn.to/2I7DHGM Podcast Link: https://futureofdata.org/harsh-tiwari-talks-about-fabric-of-data-driven-leader-in-financial-sector-futureofdata-podcast/ Harsh's BIO: Harsh Tiwari is the Senior Vice President and Chief Data Officer for CUNA Mutual Group in Madison, Wisconsin. His primary responsibilities include leading enterprise-wide data initiatives providing strategy and policy guidance for data acquisition, usage, and management. He joined the company in July 2015. Before joining CUNA Mutual Group, Harsh spent many years working in information technology, analytics, and data intelligence. He worked at Capital One Financial Group in Plano, Texas, for 17 years, where he most recently focused on creating an effective data and business intelligence environment to manage risks across the company as the Head of Risk Management Data and Business Intelligence. He has also served as the Divisional CIO for Small Business Credit Card and Consumer Lending, Head of Portfolio and Delivery Management, Head of Auto Finance Data and Business Intelligence, Business Information Officer of Capital One Canada, and Analyst –Senior Manager of Small Business Data & System Analysis. A native of India, Harsh earned a B.S. in Mechanical engineering from Mysore University in Mysore, Karnataka, India, and an M.B.A. in Finance / MIS Drexel University in Philadelphia, Pennsylvania. In his spare time, Harsh enjoys golfing and spending time with his wife, Rashmi, and their son, who is 12, and a daughter, who is 8. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Drew Conway (@DrewConway) from Aluvium talks about his journey to start an IoT startup. He sheds light on the opportunities in the industrial IoT space and shares some insights into the mechanism of running a data science startup in the IoT space. She shared some tactical suggestions for any future leader. This podcast is great for data science startup entrepreneurs and/or Sr. executives in IoT. Timeline: 0:28 Drew's journey from counter-terrorism to IoT startup. 9:29 Data science in the industrial space. 12:01 Entrepreneurship in the IoT start-up. 18:36 Selling data analysis to executives in the industrial space. 24:14 Automation in the industrial setting. 29:27 What is an IoT ready company? 32:40 Challenges in integrating data tools in the industrial sector. 37:27 Data science talent pool in industrial and manufacturing companies. 41:52 Challenges in IoT adoption for industrial companies. 46:31 Alluvium's interaction with industries. 50:57 Picking the right use case as an IoT start-up. 52:49 Right customers for an IoT start-up. 59:26 Words of wisdom for anyone building a IoT start-up. Drew's Recommended Listen: Gödel, Escher, Bach: An Eternal Golden Braid by Douglas R. Hofstadter https://amzn.to/2x0uo7d Podcast Link: https://futureofdata.org/drewconway-on-fabric-of-an-iot-startup-futureofdata-podcast/ Drew's BIO: Drew Conway, CEO and founder of Alluvium, is a leading expert in the application of computational methods to social and behavioral problems at large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years. Drew has advised and consulted companies across many industries, ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and government agencies at all levels. Drew started his career in counter-terrorism as a computational social scientist in the U.S. intelligence community. 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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Drew Conway (@DrewConway) from Alluvium talks about his journey on creating a socially connected and responsible data science practice. He shared tactical steps and suggestions to help recruit the right talent, build the right culture, and nurture the relationship to create a sustained and impactful data science practice. The session is great for folks caring to create a self-sustaining and growth compliant data science practice. Timeline: 0:28 Drew's journey from counter-terrorism to IoT startup. 9:29 Data science in the industrial space. 12:01 Entrepreneurship in the IoT start-up. 18:36 Selling data analysis to executives in the industrial space. 24:14 Automation in the industrial setting. 29:27 What is an IoT ready company? 32:40 Challenges in integrating data tools in the industrial sector. 37:27 Data science talent pool in industrial and manufacturing companies. 41:52 Challenges in IoT adoption for industrial companies. 46:31 Alluvium's interaction with industries. 50:57 Picking the right use case as an IoT start-up. 52:49 Right customers for an IoT start-up. 59:26 Words of wisdom for anyone building an IoT start-up. Drew's Recommended Listen: Gödel, Escher, Bach: An Eternal Golden Braid by Douglas R. Hofstadter https://amzn.to/2x0uo7d Podcast Link: https://futureofdata.org/drewconway-on-creating-socially-responsible-data-science-practice-futureofdata-podcast/ Drew's BIO: Drew Conway, CEO, and founder of Alluvium, is a leading expert in applying computational methods to social and behavioral problems at a large-scale. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years. Drew has advised and consulted companies across many industries, ranging from fledgling start-ups to Fortune 100 companies, as well as academic institutions and government agencies at all levels. Drew started his career in counter-terrorism as a computational social scientist in the U.S. intelligence community. 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 @ info@analyticsweek.com 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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Justin Borgman talks about his journey of starting a data science start, doing an exit, and jumping on another one. The session is filled with insights for leadership, looking for entrepreneurial wisdom to get on a data-driven journey. Timeline: 0:28 Justin's journey. 3:22 Taking the plunge to start a new company. 5:49 Perception vs. reality of starting a data warehouse company. 8:15 Bringing in something new to the IT legacy. 13:20 Getting your first few customers. 16:16 Right moment for a data warehouse company to look for a new venture. 18:20 Right person to have as a co-founder. 20:29 Advantages of going seed vs. series A. 22:13 When is a company ready for seeding or series A? 24:40 Who's a good adviser? 26:35 Exiting Teradata. 28:54 Teradata to starting a new company. 31:24 Excitement of starting something from scratch. 32:24 What is Starburst? 37:15 Presto, a great engine for cloud platforms. 40:30 How can a company get started with Presto. 41:50 Health of enterprise data. 44:15 Where does Presto not fit in? 45:19 Future of enterprise data. 46:36 Drawing parallels between proprietary space and open source space. 49:02 Does align with open-source gives a company a better chance in seeding. 51:44 John's ingredients for success. 54:05 John's favorite reads. 55:01 Key takeaways. Paul's Recommended Read: The Outsiders Paperback – S. E. Hinton amzn.to/2Ai84Gl Podcast Link: https://futureofdata.org/running-a-data-science-startup-one-decision-at-a-time-futureofdata-podcast/ Justin's BIO: Justin has spent the better part of a decade in senior executive roles building new businesses in the data warehousing and analytics space. Before co-founding Starburst, Justin was Vice President and General Manager at Teradata (NYSE: TDC), where he was responsible for the company's portfolio of Hadoop products. Prior to joining Teradata, Justin was co-founder and CEO of Hadapt, the pioneering "SQL-on-Hadoop" company that transformed Hadoop from file system to analytic database accessible to anyone with a BI tool. Teradata acquired Hadapt in 2014. Justin earned a BS in Computer Science from the University of Massachusetts at Amherst and an MBA from the Yale School of Management. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Marc Rind from ADP talked about big data in HR. He shared some of the best practices and opportunities that reside in HR data. Marc also shared some tactical steps to perform to help build better data-driven teams to execute data-driven strategies. This podcast is great for folks looking to explore the depth of HR data and the opportunities that reside in it. Timeline: 0:28 Marc's journey. 4:50 Marc's typical day. 7:23 Data use cases in ADP. 11:20 Driving innovation and thought leadership. 15:15 Creating awareness for the necessity for innovation. 18:54 Listening skills key for innovation. 20:25 HR's role in the time of automation. 27:45 Product development and data science. 30:36 Working on a client analytics platform. 34:41 Team building. 37:52 Tips for established businesses to get started with data. 41:20 Data opportunities for entrepreneurs in the HR space. 43:23 Marc's ingredients for success. 46:35 Marc's reading list. 48:35 Key takeaways. Podcast Link: https://futureofdata.org/understanding-bigdata-bigopportunity-in-hr-marcrind-futureofdata/ Marc's BIO: Marc is responsible for leading the research and development of Automatic Data Processing's (ADP's) Analytics and Big Data initiative. In this capacity, Marc drives the innovation and thought leadership in building ADP's Client Analytics platform. ADP Analytics provides its clients not only the ability to read the pulse of its own human capital…but also provides the information on how they stack up within their industry, along with the best courses of action to achieve its goals through quantifiable insights. Marc was also an instrumental leader behind the small business market payroll platform; RUN Powered by ADP®. Marc leads a number of the technology teams responsible for delivering its critically acclaimed product focused on its innovative user experience for small business owners. Prior to joining ADP, Marc's innovative spirit and fascination with data were forged at Bolt Media, a dot-com start-up based in NY's “Silicon Alley”. The company was an early predecessor to today's social media outlets. As an early ‘Data Scientist,' Marc focused on the patterns and predictions of site usage through the harnessing of the data on its +10 million user profiles. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Amy Gershkoff(@amygershkoff) talks about the ingredients of a successful data science team. Amy sheds light on the challenges of building a successful team and how businesses could align themselves to get maximum out of their data science practice. Amy discussed some tricks, tips, and easy to execute strategies to keep the data science team and practice at the top of its efficiency. This is a great session for anyone who wants to be part of a winning and thriving data science practice within the organization. Timeline: 0:29 Amy's journey. 8:39 Working on Obama's campaign. 15:35 Getting started with a data project. 20:39 First steps for creating a data science team. 27:53 Hiring a data scientist recruiter. 33:00 Building an internal data science workforce. 40:00 Hiring the right data scientist. 42:36 Tips for a data scientist to become a good hire. 44:42 Leadership getting educated in data science. 48:05 How to build diversity in the data science field. 52:52 Being bias free. 54:20 Amy's reading list. 56:06 Key takeaways. Youtube: https://youtu.be/0PBK5dfQaUk iTunes: http://apple.co/2zMLByT Podcast Link: https://futureofdata.org/amygershkoff-on-building-winning-datascience-team/ Amy's BIO: Dr. Amy Gershkoff consults and advises technology companies across the globe. She is the former Chief Data Officer for Ancestry, the world's leading genealogy and consumer genomics company. Prior to joining Ancestry, she was Chief Data Officer at Zynga. Previously, Amy built and led the Customer Analytics & Insights team and led the Global Data Science team at eBay. She has also served as the Chief Data Scientist for WPP, Data Alliance, where she worked across WPP's more than 350 operating companies worldwide to create integrated data and technology solutions. She was also the Head of Media Planning at Obama for America 2012, where she was the architect of Obama's advertising strategy and designed the campaign's analytics systems. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast Stephen Gatchell (@stephengatchell) from @Dell talks about the ingredients of a successful data scientist. He sheds light on the importance of data governance and compliance in defining a robust data science strategy. He suggested tactical steps that executives could take in starting their journey to a robust governance framework. He talked about how to take away the scare from governance. He gave insights on some of the things leaders could do today to build robust data science teams and framework. This podcast is great for leaders seeking some tactical insights into building a robust data science framework. Timeline: 0:29 Stephen's journey. 4:45 Dell's customer experience journey. 7:39 Suggestions for a startup in regard to customer experience. 12:02 Building a center of excellence around data. 15:29 Data ownership. 19:18 Fixing data governance. 24:02 Fixing the data culture. 29:40 Distributed data ownership and data lakes. 32:50 Understanding data lakes. 35:50 Common pitfalls and opportunities in data governance. 38:50 Pleasant surprises in data governance. 41:30 Ideal data team. 44:04 Hiring the right candidates for data excellence. 46:13 How do I know the "why"? 49:05 Stephen's success mantra. 50:56 Stephen's best read. Steve's Recommended Read: Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2HWjOyT Podcast Link: https://futureofdata.org/want-to-fix-datascience-fix-governance-by-stephengatchell-futureofdata/ Steve's BIO: Stephen is currently a Chief Data Officer Engineering & Data Lake at Dell and serves on the Dell Information Quality Governance Office and the Dell IT Technology Advisory Board, developing Dell's corporate strategies for the Business Data Lake, Advanced Analytics, and Information Asset Management. Stephen also serves as a Customer Insight Analyst for the Chief Technology Office, analyzing customer technology challenges and requirements. Stephen has been awarded the People's Choice Award by the Dell Total Customer Experience Team for the Data Governance and Business Data Lake project, as well as a Chief Technology Officer Innovation finalist for utilizing advanced analytics for customer configurations improving product development and product test coverage. Prior to Stephen's current role, he managed Dell's Global Product Development Lab Operations team developing internal cloud orchestration and automation environments, an Information Systems Executive for IBM leading acquisition conversion efforts, and was VP of Enterprise Systems and Operations managing mission-critical Information Systems for Telelogic (a Swedish public software firm). Stephen has an MBA from Southern New Hampshire University, a BSBA, and an AS in Finance from Northeastern University. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy 0 Comments
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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Bill Schmarzo talks about the ingredients of successful data science practice, team, and executives. Bill shared his insights on what some leaders in the industries are doing and some challenges seen in the successful deployment. Bill shared his key take on ingredients for some of the successful hires. This podcast is great for growth mindset executives willing to learn about creating a successful data science practice. Timeline: 0:29 Bill's journey. 5:05:00 Bill's current role. 7:04 Data science adoption challenges for businesses. 9:33 The good side of data science adoption. 11:22 How is data science changing business. 14:34 Strategies behind distributed IT. 18:35 Analysing the current amount of data. 21:50 Who should own the idea of data science? 24:34 The right background for a CDO. 25:52 Bias in IT. 29:35 Hacks to keep yourself bias-free. 31:58 Team vs. tool for putting together a good data-driven practice. 34:54 Value cycle in data science. 37:10 Maturity model. 39:17 Convincing culture heavy businesses to adopt data. 42:47 Keeping oneself sane during the technological disruption. 46:20 Hiring the right talent. 51:46 Ingredients of a good data science hire. 56:00 Bill's success mantra. 59:07 Bill's favorite reads. 1:00:36 Closing remarks. Bill's Recommended Read: Moneyball: The Art of Winning an Unfair Game by Michael Lewis http://amzn.to/2FqBFg8 Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo http://amzn.to/2tlZAvP Podcast Link: https://futureofdata.org/schmarzo-dellemc-on-ingredients-of-healthy-datascience-practice-futureofdata-podcast/ Bill's BIO: Bill Schmarzo is the CTO for the Big Data Practice, where he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogger, and is a frequent speaker on the use of Big Data and data science to power the organization's key business initiatives. He is a University of San Francisco School of Management Fellow, where he teaches the "Big Data MBA" course. Bill has over three decades of experience in data warehousing, BI, and analytics. Bill authored EMC's Vision Workshop methodology that links an organization's strategic business initiatives with their supporting data and analytic requirements and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute's faculty as the head of the analytic applications curriculum. Bill holds a master's degree in Business Administration from the University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science, and Business Administration from Coe College. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com 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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this last part of the two-part podcast, @TimothyChou discussed the Internet of Things landscape's future. He laid out how the internet has always been about the internet of things and not the internet of people. He sheds light on the internet of things as it is spread across themes of things, connect, collect, learn, and do workflows. He builds an interesting case about achieving precision to introduction optimality. Timeline: 0:29 Timothy's journey. 8:56 Selling cloud to Oracle. 15:57 Communicating economics and technology disruption. 23:54 Internet of people to the internet of things. Timothy's Recommended Read: Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark http://amzn.to/2Cidyhy Zone to Win: Organizing to Compete in an Age of Disruption Paperback by Geoffrey A. Moore http://amzn.to/2Hd5zpv Podcast Link: https://futureofdata.org/timothychou-on-world-of-iot-its-future-part-2/ Timothy's BIO: Timothy Chou has his career spanning through academia, successful (and not so successful) startups, and large corporations. He was one of only a few people to hold the President's title at Oracle. As President of Oracle On Demand, he grew the cloud business from its very beginning. Today that business is over $2B. He wrote about the move of applications to the cloud in 2004 in his first book, “The End of Software”. Today he serves on the board of Blackbaud, a nearly $700M vertical application cloud service company. After earning his Ph.D. in EE at the University of Illinois, he went to work for Tandem Computers, one of the original Silicon Valley startups. Had he understood stock options, he would have joined earlier. He's invested in and been a contributor to a number of other startups, some you've heard of like Webex, and others you've never heard of but were sold to companies like Cisco and Oracle. Today he is focused on several new ventures in cloud computing, machine learning, and the Internet of Things. 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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this first part of a two-part podcast, @TimothyChou discussed the Internet of Things landscape. He laid out how the internet has always been about the internet of things and not the internet of people. He sheds light on the internet of things as it is spread across themes of things, connect, collect, learn, and do workflows. He builds an interesting case about achieving precision to introduction optimality. Timeline: 0:29 Reason behind the failure of IoT projects. 19:10 Which businesses will be impacted by IoT expansion? 30:22 How is IoT getting impacted in the world of AI. 40:35 Innovative startups in the IoT industry. 49:17 What's slowing down IoT? 52:20 How much IoT and cloud are married together? 54:32 Timothy's success mantra. 56:16 Parting thoughts. Timothy's Recommended Read: Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark http://amzn.to/2Cidyhy Zone to Win: Organizing to Compete in an Age of Disruption Paperback by Geoffrey A. Moore http://amzn.to/2Hd5zpv Podcast Link: https://futureofdata.org/timothychou-on-world-of-iot-its-future-part-1-futureofdata-podcast/ Timothy's BIO: Timothy Chou has his career spanning through academia, successful (and not so successful) startups, and large corporations. He was one of only a few people to hold the President's title at Oracle. As President of Oracle On Demand, he grew the cloud business from its very beginning. Today that business is over $2B. He wrote about the move of applications to the cloud in 2004 in his first book, “The End of Software”. Today he serves on the board of Blackbaud, a nearly $700M vertical application cloud service company. After earning his Ph.D. in EE at the University of Illinois, he went to work for Tandem Computers, one of the original Silicon Valley startups. Had he understood stock options, he would have joined earlier. He's invested in and been a contributor to a number of other startups, some you've heard of like Webex, and others you've never heard of but were sold to companies like Cisco and Oracle. Today he is focused on several new ventures in cloud computing, machine learning, and the Internet of Things. 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 @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Chuck Rehberg from Trigent Software sat with Vishal to discuss how, as a technologist, leaders should think about connecting technology to help solve real business pains. Chuck also shared some of the best practices technologists could adopt to built successful integrity-filled bias-free teams and solutions. Timeline 0:29 Chuck's journey. 8:45 Chuck's role in Trigent. 14:18 Trigent's niche clients. 16:26 Semantics and Trigent model. 18:42 What is semantics? 22:00 The state of semantics today. 28:00 Best practices for businesses to use technology optimally. 33:13 Tips for businesses to remain stable in the time of disruptive technology. 36:18 App technology vis a vis enterprise stack. 39:43 Perspectives on the bias. 43:40 Measuring KPIs for success. 48:16 Ingredients of a good technology team. 50:56 Creating a technology team from scratch. 54:42 Things to be done in semantics. 58:52 Chuck's success mantra. 1:02:24 Chuck's favorite reads. 1:07:05 Closing remarks. Chuck's Recommended Read: World Hypotheses: A Study in Evidence - by Stephen C. Pepper http://amzn.to/2GXGYVV Women, Fire and Dangerous Things: What Categories Reveal About the Mind - by George Lakoff http://amzn.to/2GWIQOA How to Solve It: A New Aspect of Mathematical Method (Princeton Science Library) - by G. Polya (Author), John H. Conway (Foreword, Contributor) http://amzn.to/2BLECtw The Better Angels of Our Nature: Why Violence Has Declined - by Steven Pinker http://amzn.to/2EaLQZI Finite and Infinite Games – by James Carse (Author) http://amzn.to/2BLfIdx Being Mortal: Medicine and What Matters in the End - by Atul Gawande http://amzn.to/2BhgBtp Podcast Link: https://futureofdata.org/chuckrehberg-trigentsoftware-translating-technology-solve-business-problems-futureofdata/ Here is Chuck's Bio: As CTO at Trigent Software and Chief Scientist at Semantic Insights, Chuck Rehberg has developed patented high-performance rules engine technology and advanced natural language understanding technologies that empower a new generation of semantic research solutions. Chuck has more than thirty years in the high-tech industry, developing leading-edge solutions in the areas of Artificial Intelligence, Semantic Technologies, analytics, and product configuration software. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Venu Vasudevan(@ProcterGamble) talks about the best practices of creating a research-led data-driven data science team. He walked through his journey of creating a robust and sustained data science team, spoke about bias in data science, and some practices leaders and data science practitioners could adopt to create an impactful data science team. This podcast is great for future data science leaders and practitioners leading organizations to put together a data science practice. Timeline: 0:29 Venu's jouney. 11:18 Venu's current role in PNG. 13:11 Standardization of technology and IoT. 17:18 The state of AI. 19:46 Running an AI and data practice for a company. 22:30 Building a data science practice in a startup in comparison to a transnational company. 24:05 Dealing with bias. 27:32 Culture: a block or an opportunity. 30:05 Dealing with data we've never dealt with before. 32:32 Sustainable vs. disruption. 36:17 Starting a data science team. 38:34 Data science as an art of doing and science of doing business. 41:37 Tips to improve storytelling for a data practitioner. 43:30 Challenges in Venu's journey. 44:55 Tenets of a good data scientist. 47:27 Diversity in hiring. 50:50 KPI's to look out for if you are running an AI practice. 51:37 Venu's favorite read. Venu's Recommended Read: Isaac Newton: The Last Sorcerer - Michael White http://amzn.to/2FzGV0N Against the Gods: The Remarkable Story of Risk - Peter L. Bernstein http://amzn.to/2DRPveU Podcast Link: https://futureofdata.org/venu-vasudevan-venuv62-proctergamble-on-creating-a-rockstar-data-science-team-futureofdata/ Venu's BIO: Venu Vasudevan is Research Director, Data Science & AI at Procter & Gamble, where he directs the Data Science & AI organization at Procter & Gamble research. He is a technology leader with a track record of successful consumer & enterprise innovation at the intersection of AI, Machine Learning, Big Data, and IoT. Previously he was VP of Data Science at an IoT startup, a founding member of the Motorola team that created the Zigbee IoT standard, worked to create an industry-first zero-click interface for mobile with Dag Kittlaus (co-creator of Apple Siri), created an industry-first Google Glass experience for TV, an ARRIS video analytics and big data platform recently acquired by Comcast, and a social analytics platform leveraging Twitter that was featured in Wired Magazine and BBC. Venu held a Ph.D. (Databases & AI) from Ohio State University and was a Motorola's Science Advisory Board (top 2% of Motorola technologists). He is an Adjunct Professor at Rice University's Electrical and Computer Engineering department and was a mentor at Chicago's 1871 startup incubator. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey to create the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
In this podcast, Paul Ballew(@Ford) talks about best practices when running a data science organization spanned across multiple continents. He shared the importance of being Smart, Nice, and Inquisitive in creating tomorrow's workforce today. He sheds some light on the importance of appreciating culture when defining forward-looking policies. He also builds a case for a non-native group and discusses ways to implement data science as a central organization(with no hub-spoke model). This podcast is great for future data science leaders leading organizations with a broad consumer base and multiple geo-political silos. Timeline: 0:29 Paul's journey. 5:10 Paul's current role. 8:10 Insurance and data analytics. 13:00 Who will own the insurance in the time of automation. 18:22 Recruiting models in technologies. 21:54 Embracing technological change. 25:03 Will we have more analytics in Ford cars? 28:25 How does Ford stay competitive from a technology perspective. 30:30 Challenges for Analytics officer in Ford. 32:36 Ingredients of a good hire. 34:12 How is the data science team structured in Ford. 36:15 Dealing with shadow groups. 39:00 Successful KPIs. 40:33 Who owns data? 42:27 Who should own the security of data assets. 44:05 Examples of successful data science groups. 46:30 Practises for remaining bias-free. 48:55 Getting started running a global data science team. 52:45 How does Paul's keep himself updated. 54:18 Paul's favorite read. 55:45 Closing remarks. Paul's Recommended Read: The Outsiders Paperback – S. E. Hinton http://amzn.to/2Ai84Gl Podcast Link: https://futureofdata.org/paul-ballewford-running-global-data-science-group-futureofdata-podcast/ Paul's BIO: Paul Ballew is vice president and Global Chief Data and Analytics officer, Ford Motor Company, effective June 1, 2017. At the same time, he also was elected a Ford Motor Company officer. In this role, he leads Ford's global data and analytics teams for the enterprise. Previously, Ballew was Global Chief Data and Analytics Officer, a position to which he was named in December 2014. In this role, he has been responsible for establishing and growing the company's industry-leading data and analytics operations that are driving significant business value throughout the enterprise. Prior to joining Ford, he was Chief Data, Insight & Analytics Officer at Dun & Bradstreet. In this capacity, he was responsible for the company's global data and analytic activities along with the company's strategic consulting practice. Previously, Ballew served as Nationwide's senior vice president for Customer Insight and Analytics. He directed customer analytics, market research, and information and data management functions, and supported the company's marketing strategy. His responsibilities included the development of Nationwide's customer analytics, data operations, and strategy. Ballew joined Nationwide in November 2007 and established the company's Customer Insights and Analytics capabilities. Ballew sits on the boards of Neustar, Inc. and Hyatt Hotels Corporation. He was born in 1964 and has a bachelor's and master's degree in Economics from the University of Detroit. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey in creating the data-driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ info@analyticsweek.com Keywords: #FutureOfData #DataAnalytics #Leadership #Podcast #BigData #Strategy
© 2020-2025 Ivy Podcast Discovery LLC
