Building an AI First Company and Culture

Building an AI First Company and Culture

Author: AnalyticsWeek May 19, 2021 Duration: 1:04:39
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

The landscape of data and analytics is shifting faster than ever, driven by the people who build the systems, challenge the norms, and imagine what comes next. The Future of Data Podcast from AnalyticsWeek sits down with those very people for substantive, often unexpected, dialogues. Each episode is a direct conversation with a leader, an influencer, or a change maker who is actively shaping this dynamic world. You’ll hear less from theorists and more from practitioners in the trenches, discussing the real-world implications of new technologies, the evolving ethics of data use, and the practical strategies that separate hype from genuine transformation. This podcast delves into the human stories behind the data stacks, exploring the challenges, failures, and breakthroughs that define modern analytics. It’s a space for nuanced discussion that goes beyond surface-level trends to examine how data is fundamentally altering industries, governance, and our daily lives. Listen for candid insights on building effective teams, navigating the complexities of AI integration, and anticipating what the next decade of innovation might demand from professionals at every level. These are the essential conversations for anyone who needs to understand not just what is happening in data, but why it matters and where we might be headed. Tune in for a thoughtful exploration of the tools, ideas, and individuals charting the course forward.
Author: Language: English Episodes: 96

The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics
Podcast Episodes
Level Analytics Bootcamp Graduation Event: Future of Data Science [not-audio_url] [/not-audio_url]

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Level Analytics Bootcamp by Northeastern University Event: Future of Data Science - Graduation Talk by Vishal Kumar, CEO AnalyticsWeek About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, inf…
Data & Analytics Bi-Weekly Newsletter Cast July 20, 2017 [not-audio_url] [/not-audio_url]

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#FutureOfData with Robin Thottungal, Chief Data Scientist at EPA [not-audio_url] [/not-audio_url]

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In this podcast, Robin discussed how an analytics organization functions in a collaborative culture. He shed some light on preparing a robust framework while working on policy rich setup. This talk is a must for anyone b…
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The security challenges of a particular business may often be proportional to the amount of data they need to capture, process, and interpret. As businesses grow their security needs become ever more complex and challeng…
Data & Analytics Bi-Weekly Newsletter Cast June 22, 2017 [not-audio_url] [/not-audio_url]

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Data & Analytics Bi-Weekly Newsletter Cast June 8, 2017 [not-audio_url] [/not-audio_url]

Duration: 52:51
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Peter Morgan, CEO, Deep Learning Partnership [not-audio_url] [/not-audio_url]

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* ERRATA (As Reported by Peter: "The book Peter mentioned (at 46:20) by Stuart Russell, "Do the Right Thing", was published in 2003, and not recently" In this session Peter Morgan, CEO Deep Learning Partnership sat with…
Data & Analytics Bi-Weekly Newsletter Cast May 25, 2017 [not-audio_url] [/not-audio_url]

Duration: 54:01
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Nathaniel Lin, Chief Data Scientist, NFPA [not-audio_url] [/not-audio_url]

Duration: 50:44
In this session, Nathaniel discussed how NFPA uses data to empower fire stations worldwide with data-driven insights. We discussed the future of fire in this tech-driven world. Timeline: 0:29 Nathaniel's journey. 3:50 Wh…