by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Eric Siegel – A renowned author of “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die,” Siegel is a leading figure in the field. He’s the founder of the Predictive Analytics World conference series and a former computer science professor at Columbia University.
Dr. Dean Abbott – As the Co-Founder and Chief Data Scientist of SmarterHQ, Abbott’s contributions to data preparation, visualization, and advanced modeling techniques have been pivotal. He’s the author of “Applied Predictive Analytics” and frequently speaks at analytics conferences.
Dr. Hilary Mason – A data scientist and entrepreneur, Mason was the Chief Scientist at Bitly and co-founded Fast Forward Labs, a machine learning research company. Her insights into the practical applications of predictive analytics are invaluable.
Nate Silver – Known for his accurate political forecasting and the founder of FiveThirtyEight, Silver leverages predictive analytics in the realm of politics, sports, and more, emphasizing the importance of both statistical and subjective components.
Dr. Kira Radinsky – Radinsky has made headlines for her work in developing a software capable of predicting global events, from disease outbreaks to political riots, by analyzing news articles and historical data.
Bernard Marr – An internationally bestselling author, keynote speaker, and futurist, Marr’s work often delves into the practical applications of predictive analytics in various business contexts. His books, such as “Data Strategy”, are crucial reads for anyone interested in data-driven decision making.
Dr. Usama Fayyad – A data mining and data science pioneer, Fayyad was Microsoft’s first-ever Chief Data Officer and holds over 30 patents. His insights into the future of predictive analytics and its implications are indispensable.
Dr. Vincent Granville – With a background spanning from post-doctoral work in statistical genetics to being a Senior Data Scientist at Visa, Granville co-founded Data Science Central, a resource hub and community for data practitioners.
Dr. John Elder – Founder of Elder Research, a top data science consultancy firm, Elder’s expertise in data mining and predictive analytics has been tapped by various organizations, from government agencies to Fortune 500 companies.
Dr. Andrew Ng – While Ng is broadly recognized for his work in machine learning and co-founding Google Brain, his teachings and research often intersect with predictive analytics. As a Stanford professor and co-founder of Coursera, he’s made advanced analytics accessible to a global audience.
by Ian Khan | Oct 10, 2023 | Futurist Blog
by Ian Khan | Oct 10, 2023 | Futurist Blog
Dr. Arjmand Samuel: A principal program manager at Microsoft, Samuel’s work revolves around edge computing and its intersection with IoT. His insights shed light on how edge analytics is revolutionizing data processing in real–time.
Flavio Bonomi: Often cited as one of the founders of the edge computing concept, Bonomi’s early work at Cisco emphasized the importance of analytics closer to data sources, laying foundational concepts for edge analytics.
Dr. Tom Bradicich: At Hewlett Packard Enterprise (HPE), Bradicich has been instrumental in driving the company’s vision around edge computing and analytics, particularly with the development of “intelligent edge” solutions.
Dr. Mahadev Satyanarayanan (Satya): Known as the “father of edge computing,” Satya’s research at Carnegie Mellon University has been foundational. His work dives deep into the advantages of processing data at the edge.
Dr. Rob High: As IBM’s VP and CTO for Edge Computing, High’s insights into the convergence of AI, IoT, and edge analytics are shaping the next generation of edge solutions.
Dr. Maria Gorlatova: An associate professor at Duke University, Gorlatova’s work on edge-enabled interactive applications brings a fresh perspective on integrating edge analytics with everyday user experiences.
Jason Shepherd: As the VP of Ecosystem at edge orchestration company ZEDEDA, Shepherd frequently shares valuable insights on the evolving landscape of edge computing and analytics.
Dr. Junshan Zhang: A professor at Arizona State University, Zhang’s research on edge analytics focuses on its applications in mobile networks and IoT, offering a deep dive into its implications for future communication infrastructures.
Dr. Weisong Shi: Based at Wayne State University, Shi is recognized for his research on edge computing benchmarks and the performance metrics essential for evaluating edge analytics solutions.
Farah Papaioannou: Co-founder and President of Edgeworx, Papaioannou is at the forefront of creating platforms that allow for efficient edge analytics, transforming raw data into actionable insights at the source.
by Ian Khan | Oct 10, 2023 | Futurist Blog
by Ian Khan | Oct 10, 2023 | Futurist Blog
Nate Silver: Founder of FiveThirtyEight, Silver uses statistical analysis to make predictions in everything from politics to sports. His approach to data-driven journalism has reshaped how data analytics is perceived by the general public.
Avinash Kaushik: The Digital Marketing Evangelist for Google, Kaushik is a recognized authority in web analytics and digital strategies. His books and blog, “Occam’s Razor,” provide deep insights into actionable analytics.
Hans Rosling: Though he passed away in 2017, Rosling’s legacy continues through his groundbreaking work in visualizing complex datasets. His venture, Gapminder, revolutionized storytelling with analytics, making global health and economics data comprehensible to the masses.
Hadley Wickham: Chief Scientist at RStudio, Wickham’s contributions to the R community, including packages like ggplot2 and dplyr, have been instrumental in advancing data visualization and analysis.
Tamara Dull: As the Director of Emerging Technologies for SAS, Dull breaks down the complexities of big data, the Internet of Things, and open source. Her insights bridge the technical and the practical, making data analytics accessible.
Monica Rogati: Having engineered pivotal data products at LinkedIn and Jawbone, Rogati’s expertise lies in turning data into actionable, user-facing products. Her perspective on data-driven product development is invaluable.
Ben Wellington: A data scientist and policy analyst, Wellington’s blog “I Quant NY” uses New York City’s public data to tell compelling stories. His approach showcases the power of analytics in influencing public policy and urban planning.
Cassie Kozyrkov: As Google Cloud’s Chief Decision Scientist, Kozyrkov specializes in bringing statistical rigor to decision-making processes. Her articles and talks demystify complex topics, making data science and analytics more approachable.
Andrew Gelman: A professor at Columbia University, Gelman’s work in statistical modeling and research on the limitations of traditional statistics in the face of complex datasets is groundbreaking.
D.J. Patil: Having served as the first Chief Data Scientist of the U.S., Patil’s experience spans public policy and private sector innovation. His emphasis on “data-driven” decision-making has become a mantra for many in the analytics sphere.
