TOP 50 PREDICTIVE ANALYTICS THOUGHT LEADERS, FUTURIST KEYNOTE SPEAKERS & CONSULTING EXPERTS

Today’s Top 50 predictive analytics thought leaders, futurist keynote speakers and data science consultants note that the practice has quietly but powerfully transformed how businesses forecast trends, optimize operations, and engage customers. From AI startups to legacy software firms and global tech giants, Top 50 predictive analytics thought leaders list advisors in the field bring vision, data‑savvy strategy, and a deep understanding of how analytics influences the future of business. We review influencers who stand out for their influence, innovation, and leadership in market research, AI, and data science.

Kicking things off, start your look at the Top 50 predictive analytics thought leaders roster by reviewing the work of celebrity keynote speaker and futurist consultant to 3000 brands Scott Steinberg. Given appearances at dozens of corporate meetings, conferences and conventions annually, you’ll see why he’s a go-to resource for myriad international event planners.

Also have a scroll through influential voices on the list from different industries, who represent the cutting edge of AI, automation and other fields. From cloud data warehouses and AI research labs to ridesharing platforms and social networks, global Top 50 predictive analytics thought leaders harness data to forecast outcomes, streamline operations, and deliver smarter, more personalized experiences.

Note that we’ll be keeping a close eye on the list going forward, and looking for alternate suggestions of up and coming talent to feature. Should you have your own Top 50 predictive analytics thought leaders ideas and recommendations, hit us up in the new year with candidates as well.

1. Scott Steinberg – CEO of FutureProof Strategies: The Futurist Consulting Firm, keynote speaker forecasting trends in tech and analytics.
2. Jeremy Achin – Co‑founder of DataRobot, championing automated machine learning.
3. Sri Ambati – CEO of H2O.ai, driving open‑source AI and tools for enterprise analytics.
4. Ali Ghodsi – CEO of Databricks, unifying big data and predictive modeling.
5. Alex Karp – CEO and co‑founder of Palantir Technologies, known for data‑driven enterprise intelligence.
6. Jim Goodnight – Co‑founder and CEO of SAS Institute, longtime leader in statistical analytics.
7. Mark Anderson – CEO of Alteryx, empowering analysts with self‑service predictive tools.
8. Frank Slootman – CEO of Snowflake, advancing cloud data warehousing and predictive analytics at scale.
9. Tom Reilly – Former CEO of Cloudera, instrumental in big data platforms and analytics.
10. Gary Steele – CEO of Splunk, leveraging machine data for predictive operations insights.
11. Cassie Kozyrkov – Chief Decision Scientist at Google Cloud, shaping data-driven decision‑making culture.
12. DJ Patil – Former U.S. Chief Data Scientist and influential advocate for data and analytics practices.
13. Hilary Mason – Founder of Fast Forward Labs, a trailblazer in applied data science research.
14. Kirk Borne – Principal Data Scientist and highly regarded voice for big data and predictive methodologies.
15. Christian Chabot – Co‑founder & former CEO of Tableau, democratizing analytics for business users.
16. Arvind Krishna – CEO of IBM, leading enterprise AI and analytics offerings.
17. Satya Nadella – CEO of Microsoft, integrating predictive and AI‑powered analytics across global business tools.
18. Sundar Pichai – CEO of Google/Alphabet, steering the expansion of AI and predictive technologies.
19. Jensen Huang – CEO of NVIDIA, whose hardware accelerates modern AI and large‑scale predictive models.
20. Demis Hassabis – CEO and co‑founder of DeepMind, innovating in predictive AI research.
21. Denis Palpot – CEO of Dataiku, enabling collaborative predictive analytics platforms.
22. Mike Capone – CEO of Qlik, known for data discovery and predictive business intelligence.
23. Tomer Weingarten – CEO of SentinelOne, applying predictive modeling to cybersecurity.
24. Giacomo Accardo – CEO of Dataminr, real‑time predictive analytics for global events and risk detection.
25. Tom Siebel – CEO of C3.ai, delivering AI-driven predictive solutions to enterprise clients.
26. Dhiraj Rajaram – Founder and Chairman of Mu Sigma, mixture of analytics consulting and decision sciences.
27. Zach Wasserman – CEO of ZS Associates, integrating predictive modeling into healthcare and pharma analytics.
28. Oliver Ratzesberger – CEO of Teradata, veteran in building data and analytics infrastructure.
29. Amit Walia – CEO of Informatica, enabling data governance and predictive data flows.
30. David Kenny – Executive Chair & former CEO of Cognizant, integrating data‑science consulting globally.
31. Pat Gelsinger – Former CEO of Intel, enabling infrastructure and AI compute for predictive workloads.
32. Keith Weed – Former CMO of Unilever, known for embedding analytics in global brand and consumer insight strategies.
33. Kristin Lemkau – CEO of JPMorgan Chase Consumer & Community Banking, innovating data‑driven consumer finance.
34. Noel Quinn – CEO of HSBC, pushing for predictive analytics in global banking operations.
35. Jennifer Tejada – CEO of PagerDuty, leading predictive incident analytics in critical operations.
36. Ragy Thomas – CEO of Sprinklr, offering predictive analytics for social media and customer experience.
37. Daniel Ek – Co‑founder & CEO of Spotify, using predictive analytics for content personalization and recommendation engines.
38. Jeff Weiner – Executive Chairman of LinkedIn, leveraging predictive data to power professional networking and recruitment analytics.
39. Christian Kleinerman – Senior analytics leader (former) in enterprise search and data infrastructure, contributing to predictive search performance.
40. Anjali Sud – CEO of Vimeo, overseeing data‑driven content recommendations and predictive media analytics.
41. Jeff Lawson – CEO of Twilio, building communications platforms enriched with predictive data analytics.
42. Ginni Rometty – Former CEO of IBM, pivotal in guiding the company’s analytics and AI transformation.
43. Drew Houston – CEO of Dropbox, using data insights to drive product roadmap and user engagement.
44. Stewart Butterfield – CEO of Slack, applying usage and engagement analytics to shape communications tools.
45. Marc Benioff – CEO of Salesforce, integrating predictive AI analytics across CRM and enterprise workflows.
46. Daniel Dines – CEO of UiPath, innovating with RPA and predictive analytics for automation decisions.
47. Logan Green – Co‑founder & CEO of Lyft, leveraging predictive data for ride‑sharing demand, pricing, and logistics.
48. Dara Khosrowshahi – CEO of Uber, integrating predictive modeling across mobility, delivery, and ride‑sharing services.
49. Whitney Wolfe Herd – CEO of Bumble, applying behavioral predictive analytics to social and dating platforms.
50. Jeff Bezos – Founder of Amazon, whose data‑driven culture and predictive analytics transformed e‑commerce and logistics globally.

The work of global Top 50 predictive analytics thought leaders is accelerating the shift from reactive business models to proactive, data‑driven strategies… remaking industries and redefining what’s possible through data science.