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Ari Kaplan

Head of Evangelism · Databricks

11 activities
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Gerry Kaplan

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Eli Kaplan

Head of Security and Compliance, Cloud Professional Services EMEA · Google Cloud

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Activities & events

Title & Speakers Event
MLOps Days NYC: AI/ML gathering 2025-03-04 · 21:00

Join us in the heart of New York City for a free ML/AI mega-meetup featuring an incredible lineup of ML experts, data scientists, and DevOps professionals. Dive into scaling AI in production, optimizing ML workflows, and more in data science. This is a great opportunity to mingle with the best tech minds NYC has to offer over some good food. Register now on LUMA and save your spot!

Featuring:

  • AIOps at Reasonable Scale by Ciro Greco, Founder and CEO @ Bauplan
  • This session explores the unique security challenges of ML systems in the GenAI era and provides actionable strategies to safeguard them. Learn why traditional approaches fall short and how to fortify your ML lifecycle to stay ahead in an evolving threat landscape.

  • We have pioneered the concept of “ML for the 99%” with the ML at reasonable scale series, and recently discussed what changed with the new AI wave (spoiler: not much, the fundamentals stay!). In the talk, we review the basics of ML in production and stress what changed and what didn’t in the era of LLMs.

  • Protecting ML Systems in the GenAI Era by Yuval Fernbach, VP, CTO MLOps @ JFrog

  • Generative AI and machine learning systems are reshaping industries but also introducing new security risks. The reliance on vast data, rapid deployment cycles, and automated pipelines in MLOps has expanded the attack surface, exposing vulnerabilities to data poisoning, adversarial inputs, and pipeline exploitation.

  • This session explores the unique security challenges of ML systems in the GenAI era and provides actionable strategies to safeguard them. Learn why traditional approaches fall short and how to fortify your ML lifecycle to stay ahead in an evolving threat landscape.

  • Integrating Tech to Unlock Generative AI by Liron Freind Saadon, Head of Dev Rel @ NVIDIA

  • An Ideal MLOps platform in the Generative Al era is a comprehensive solution that supports the entire machine learning lifecycle, from data preparation and model development to model deployment and monitoring. It should provide seamless integration of tools and technologies that enable organizations to build, deploy, and manage machine learning models with ease. In this talk, we'll review some of the tools and solutions that exist to build, deploy, and scale GenAl workloads across different environments successfully.

  • Human-in-the-loop feedback, agentic systems by Ari Kaplan, Head of Evangelism, Databricks Discover how incorporating continuous human guidance ensures ethical, accurate, and context-aware outputs, while autonomous agentic systems push the boundaries of Al, enabling proactive decision-making and complex problem-solving.

  • Networking/Happy Hour

Register now on LUMA and save your spot!

  • 4:00 PM - 4:15 PM Arrival and Sign in
  • 4:15 PM - 4:30 PM AIOps at Reasonable Scale
  • 4:50 PM - 5:30 PM Protecting ML Systems in the GenAI Era
  • 5:30 PM - 6:00 PM Fireside Chat with Industry leaders
  • 6:00 PM - 6:45 PM Integrating Tech to Unlock

Brought to you by JFrog!

Register now on LUMA and save your spot!

 MLOps Days NYC: AI/ML gathering
Event DataFramed 2024-02-22
[AI and the Modern Data Stack] #184 Accelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel 2024-02-22 · 10:00
Nuri Cankaya – VP of AI Marketing @ Intel , Richie – host @ DataCamp , La Tiffaney Santucci – AI Marketing Director @ Intel

We’ve heard so much about the value and capabilities of generative AI over the past year, and we’ve all become accustomed to the chat interfaces of our preferred models. One of the main concerns many of us have had has been privacy. Is OpenAI keeping the data and information I give to ChatGPT secure? One of the touted solutions to this problem is running LLMs locally on your own machine, but with the hardware cost that comes with it, running LLMs locally has not been possible for many of us. That might now be starting to change. Nuri Canyaka is VP of AI Marketing at Intel. Prior to Intel, Nuri spent 16 years at Microsoft, starting out as a Technical Evangelist, and leaving the organization as the Senior Director of Product Marketing. He ran the GTM team that helped generate adoption of GPT in Microsoft Azure products. La Tiffaney Santucci is Intel’s AI Marketing Director, specializing in their Edge and Client products. La Tiffaney has spent over a decade at Intel, focussing on partnerships with Dell, Google Amazon and Microsoft.  In the episode, Richie, Nuri and La Tiffaney explore AI’s impact on marketing analytics, the adoptions of AI in the enterprise, how AI is being integrated into existing products, the workflow for implementing AI into business processes and the challenges that come with it, the importance of edge AI for instant decision-making in uses-cases like self-driving cars, the emergence of AI engineering as a distinct field of work, the democratization of AI, what the state of AGI might look like in the near future and much more.  About the AI and the Modern Data Stack DataFramed Series This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect: Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratizationAdding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data managementAccelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI Links Mentioned in the Show: Intel OpenVINO™ toolkitIntel Developer Clouds for Accelerated ComputingAWS Re:Invent[Course] Implementing AI Solutions in BusinessRelated Episode: Intel CTO Steve Orrin on How Governments Can Navigate the Data & AI RevolutionSign up to a href="https://www.datacamp.com/radar-analytics-edition"...

AI/ML Analytics Azure Databricks DWH GenAI GTM LLM Marketing Modern Data Stack Microsoft Snowflake Thoughtspot
[AI and the Modern Data Stack] #183 Adding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake 2024-02-21 · 10:00
Richie – host @ DataCamp , Sridhar Ramaswamy – CEO @ Snowflake

Snowflake has been foundational in the data space for years. In the mid-2010s, the platform was a major driver of moving data to the cloud. More recently, it's become apparent that combining data and AI in the cloud is key to accelerating innovation. Snowflake has been rapidly adding AI features to provide value to the modern data stack, but what’s really been going on under the hood? At the time of recording, Sridhar Ramaswamy was the SVP of AI at Snowflake, being appointed CEO at Snowflake in February 2024. Sridhar was formerly Co-Founder of Neeva, acquired in 2023 by Snowflake. Before founding Neeva, Ramaswamy oversaw Google's advertising products, including search, display, video advertising, analytics, shopping, payments, and travel. He joined Google in 2003 and was part of the growth of AdWords and Google's overall advertising business. He spent more than 15 years at Google, where he started as a software engineer and rose to SVP of Ads & Commerce.  In the episode, Richie and Sridhar explore Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, how NLP and AI have impacted enterprise business operations as well as new applications of AI in an enterprise environment, the challenges of enterprise search, the importance of data quality, management and the role of semantic layers in the effective use of AI, a look into Snowflakes products including Snowpilot and Cortex, the collaboration required for successful data and AI projects, advice for organizations looking to improve their data management and much more.     About the AI and the Modern Data Stack DataFramed Series This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect: Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratizationAdding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data managementAccelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI Links Mentioned in the Show: SnowflakeSnowflake acquires Neeva to accelerate search in the Data Cloud through generative AIUse AI in Seconds with Snowflake Cortex[Course] Introduction to SnowflakeRelated Episode: Why AI will Change Everything—with Former Snowflake CEO, Bob MugliaSign up to a...

AI/ML Analytics Cloud Computing Data Management Data Quality Databricks DWH GenAI Marketing Modern Data Stack NLP Snowflake Thoughtspot
[AI and the Modern Data Stack] #182 How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks 2024-02-20 · 10:00
Ari Kaplan – Head Evangelist @ Databricks , Robin Sutara – Field CTO @ Databricks , Richie – host @ DataCamp

Databricks started out as a platform for using Spark, a big data analytics engine, but it's grown a lot since then. Databricks now allows users to leverage their data and AI projects in the same place, ensuring ease of use and consistency across operations. The Databricks platform is converging on the idea of data intelligence, but what does this mean, how will it help data teams and organizations, and where does AI fit in the picture? Ari is Databricks’ Head of Evangelism and "The Real Moneyball Guy" - the popular movie was partly based on his analytical innovations in Major League Baseball. He is a leading influencer in analytics, artificial intelligence, data science, and high-growth business innovation. Ari was previously the Global AI Evangelist at DataRobot, Nielsen’s regional VP of Analytics, Caltech Alumni of the Decade, President Emeritus of the worldwide Independent Oracle Users Group, on Intel’s AI Board of Advisors, Sports Illustrated Top Ten GM Candidate, an IBM Watson Celebrity Data Scientist, and on the Crain’s Chicago 40 Under 40. He's also written 5 books on analytics, databases, and baseball. Robin is the Field CTO at Databricks. She has consulted with hundreds of organizations on data strategy, data culture, and building diverse data teams. Robin has had an eclectic career path in technical and business functions with more than two decades in tech companies, including Microsoft and Databricks. She also has achieved multiple academic accomplishments from her juris doctorate to a masters in law to engineering leadership. From her first technical role as an entry-level consumer support engineer to her current role in the C-Suite, Robin supports creating an inclusive workplace and is the current co-chair of Women in Data Safety Committee. She was also recognized in 2023 as a Top 20 Women in Data and Tech, as well as DataIQ 100 Most Influential People in Data. In the episode, Richie, Ari, and Robin explore Databricks, the application of generative AI in improving services operations and providing data insights, data intelligence, and lakehouse technology, the wide-ranging applications of generative AI, how AI tools are changing data democratization, the challenges of data governance and management and how tools like Databricks can help, how jobs in data and AI are changing and much more.  About the AI and the Modern Data Stack DataFramed Series This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect: Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratizationAdding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data managementAccelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI Links Mentioned in the Show: DatabricksDelta Lakea href="https://mlflow.org/" rel="noopener...

AI/ML Analytics Big Data Data Analytics Data Governance Data Lakehouse Data Science Databricks DWH GenAI IBM Marketing Modern Data Stack Microsoft Oracle Snowflake Spark Thoughtspot
[AI and the Modern Data Stack] #181 Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot 2024-02-19 · 10:00
Benn Stancil – Field CTO @ ThoughtSpot , Adel – host @ DataFramed

One of the biggest surprises of the generative AI revolution over the past 2 years lies in the counter-intuitiveness of its most successful use cases. Counter to most predictions made about AI years ago, AI-assisted coding, specifically AI-assisted data work, has been surprisingly one of the biggest killer apps of generative AI tools and copilots. However, what happens when we take this notion even further? How will analytics workflows look like when generative AI tools can also assist us in problem-solving? What type of analytics use cases can we expect to operationalize, and what tools can we expect to work with when AI systems can provide scalable qualitative data instead of relying on imperfect quantitative proxies? Today’s guest calls this future “weird”.  Benn Stancil is the Field CTO at ThoughtSpot. He joined ThoughtSpot in 2023 as part of its acquisition of Mode, where he was a Co-Founder and CTO. While at Mode, Benn held roles leading Mode’s data, product, marketing, and executive teams. He regularly writes about data and technology at benn.substack.com. Prior to founding Mode, Benn worked on analytics teams at Microsoft and Yammer. Throughout the episode, Benn and Adel talk about the nature of AI-assisted analytics workflows, the potential for generative AI in assisting problem-solving, how he imagines analytics workflows to look in the future, and a lot more.  About the AI and the Modern Data Stack DataFramed Series This week we’re releasing 4 episodes focused on how AI is changing the modern data stack and the analytics profession at large. The modern data stack is often an ambiguous and all-encompassing term, so we intentionally wanted to cover the impact of AI on the modern data stack from different angles. Here’s what you can expect: Why the Future of AI in Data will be Weird with Benn Stancil, CTO at Mode & Field CTO at ThoughtSpot — Covering how AI will change analytics workflows and tools How Databricks is Transforming Data Warehousing and AI with Ari Kaplan, Head Evangelist & Robin Sutara, Field CTO at Databricks — Covering Databricks, data intelligence and how AI tools are changing data democratizationAdding AI to the Data Warehouse with Sridhar Ramaswamy, CEO at Snowflake — Covering Snowflake and its uses, how generative AI is changing the attitudes of leaders towards data, and how to improve your data managementAccelerating AI Workflows with Nuri Cankaya, VP of AI Marketing & La Tiffaney Santucci, AI Marketing Director at Intel — Covering AI’s impact on marketing analytics, how AI is being integrated into existing products, and the democratization of AI Links Mentioned in the Show: Mode AnalyticsThoughtSpot acquires Mode: Empowering data teams to bring Generative AI to BIEverybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are[Course] Generative AI for Business[Skill Track] SQL FundamentalsRelated Episode: The Future of Marketing Analytics with Cory Munchbach, CEO at...

AI/ML Analytics Big Data Databricks DWH GenAI Marketing Modern Data Stack Microsoft Snowflake SQL Thoughtspot
Ari Kaplan - Data Intelligence, Evangelism, and More 2024-01-24 · 08:33
Ari Kaplan – Head Evangelist @ Databricks , Joe Reis – founder @ Ternary Data

Ari Kaplan (Head of Evangelism at Databricks) joins me to chat about all things data intelligence, data lakehouses, the role of evangelism in tech companies, automation, and much more.

Databricks
The Joe Reis Show
Listen
Event Databricks DATA + AI Summit 2023 2023-07-25
Build Your Data Lakehouse with a Modern Data Stack on Databricks 2023-07-25 · 23:11
Pearl Ubaru – Technical Product Engineer @ Databricks , Ari Kaplan – Head of Evangelism @ Databricks

Are you looking for an introduction to the Lakehouse and what the related technology is all about? This session is for you. This session explains the value that lakehouses bring to the table using examples of companies that are actually modernizing their data, showing demos throughout. The data lakehouse is the future for modern data teams that want to simplify data workloads, ease collaboration, and maintain the flexibility and openness to stay agile as a company scales.

Come to this session and learn about the full stack, including data engineering, data warehousing in a lakehouse, data streaming, governance, and data science and AI. Learn how you can create modern data solutions of your own.

Talk by: Ari Kaplan and Pearl Ubaru

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Agile/Scrum AI/ML Data Engineering Data Lakehouse Data Science Databricks DWH Modern Data Stack Data Streaming
Live from the Lakehouse: pre-show sideline reporting, from the Data & AI Summit by Databricks 2023-07-14 · 23:38
Pearl Ubaru – Technical Product Engineer @ Databricks , Ari Kaplan – Head of Evangelism @ Databricks

With 75k attendees (and 12k in person at the sold-out show), the conference is kicked off by Ari Kaplan (Head of Evangelism, Databricks) and Pearl Ubaru (Sr Technical Marketing Engineer, Databricks). Hear what to expect on the state of data and AI, Databricks, the community, and why the theme is "Generation AI". WE are the generation to make AI a reality, and we all can have a part in shaping this new phase of technology and humanity.

AI/ML Data Lakehouse Databricks Marketing
Live from the Lakehouse: Machine Learning, LLM & market changes over the past decade & data strategy 2023-07-14 · 23:38
Richard Garris – Global Product Specialists Leader @ Databricks , Robin Sutara – Field CTO @ Databricks

Hear from two guests. First, Richard Garris (Global Product Specialists Leader, Databricks) on Machine Learning, LLMs, and his decade journey at Databricks. Second guest, Robin Sutara (Field CTO, Databricks) on data strategy, and the learnings from her role as Field CTO. Hosted by Ari Kaplan (Head of Evangelism, Databricks) and Pearl Ubaru (Sr Technical Marketing Engineer, Databricks)

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

AI/ML Data Lakehouse Databricks LLM Marketing
Live from the Lakehouse: LLMs, LangChain, and analytics engineering workflow with dbt Labs 2023-07-14 · 23:38
Drew Banin – Co-Founder @ Fishtown Analytics , Nicolas Palaez – Sr. Technical Marketing Manager @ Databricks , Harrison Chase – CEO @ LangChain

Hear from three guests. Harrison Chase (CEO, LangChain) and Nicolas Palaez (Sr. Technical Marketing Manager, Databricks) on LLMs and generative AI. Third guest, Drew Banin (co-founder, dbt Labs), discusses analytics engineering workflow with his company dbt Labs, how he started the company, and how they provide value with the Databricks partnership. Hosted by Ari Kaplan (Head of Evangelism, Databricks) and Pearl Ubaru (Sr Technical Marketing Engineer, Databricks)

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

AI/ML Analytics Analytics Engineering Data Lakehouse Databricks dbt GenAI LLM Marketing
Live from the Lakehouse: AI governance, Unity Catalog, Ethics in AI, and Industry Perspectives 2023-07-14 · 23:38
Bryan Saftler – Industry Solutions Marketing Director @ Databricks , Scott Starbird – General Counsel, Public Affairs and Strategic Partnerships @ Databricks , Matei Zaharia – Chief Technologist @ Databricks

Hear from three guests. First, Matei Zaharia (co-founder and Chief Technologist, Databricks) on AI governance and Unity Catalog. Second guest, Scott Starbird (General Counsel, Public Affairs and Strategic Partnerships, Databricks) on Ethics in AI. Third guest, Bryan Saftler (Industry Solutions Marketing Director, Databricks) on industry perspectives and solution accelerators. Hosted by Ari Kaplan (Head of Evangelism, Databricks) and Pearl Ubaru (Sr Technical Marketing Engineer, Databricks)

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

AI/ML Data Lakehouse Databricks Marketing
Live from the Lakehouse: Day 1 wrap-up with Ari Kaplan & Pearl Ubaru, & interviews with attendees 2023-07-14 · 23:38
Pearl Ubaru – Technical Product Engineer @ Databricks , Ari Kaplan – Head of Evangelism @ Databricks

Day 1 wrap-up of all the exciting happenings at the Data & AI Summit by Databricks, and hear directly from a variety of attendees on their thoughts of the day. Hosted by Ari Kaplan (Head of Evangelism, Databricks) and Pearl Ubaru (Sr Technical Marketing Engineer, Databricks)

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

AI/ML Data Lakehouse Databricks Marketing
Live from the Lakehouse: industry outlook from Simon Whiteley & AI policy from Matteo Quattrocchi 2023-07-14 · 23:38
Matteo Quattrocchi – Director - Policy, EMEA @ BSA | The Software Alliance , Simon Whiteley – Advancing Analytics @ Advancing Analytics

Hear from two guests. First, Simon Whiteley (co-owner, Advancing Analytics) on his reaction to industry announcements, where he sees the industry heading, and an introduction to his community at Advancing Analytics. Second guest, Matteo Quattrocchi (Director - Policy, EMEA at BSA | The Software Alliance) on the current state of AI policies - by international governments, global committees, and individual companies.. Hosted by Ari Kaplan (Head of Evangelism, Databricks) and Pearl Ubaru (Sr Technical Marketing Engineer, Databricks)

AI/ML Analytics Data Lakehouse Databricks Marketing
Event Leaders of Analytics 2023-04-11
Unlocking Business Value & Elevating Analytics to the C-Suite: Strategies and Best Practices with Murli Buluswar 2023-04-11 · 18:45
Murli Buluswar – Head of Analytics, US Consumer Bank @ Citi , Jonas Christensen – host

Data is revolutionising our world, yet many companies fail to harness its value. What needs to be done for CEOs to see the value of having analytics as part of the executive inner circle? Unfortunately, many analytics teams struggle to move past the common challenges of fostering analytics literacy, getting executive buy-in for more investment in data and analytics and showcasing the value delivered into the business. How can analytics leaders make their discipline an indispensable superpower in their organisation? In this episode of Leaders of Analytics, long-time analytics C-suite executive Murli Buluswar gives us the formula for success. Murli is Head of Analytics, US Consumer Bank at Citi, and leads a team of almost 600 analytics professionals. He reports directly to the CEO and his team is responsible for supplying the rest of the organisation with insights and data-driven solutions that lead to better customer experience and engagement. In this episode of Leaders of Analytics, Murli explains: How to position an analytics function as a key strategic enablerHow Citi’s analytics department picks and validates the most valuable use cases to work onHow to foster the skills and organisational discipline to push analytics into the rest of the organisationHow to measure and communicate an analytics team’s impact on the company and its customersWhat’s required of analytics leaders to elevate their function to the C-suite, and much more.Murli Buluswar on LinkedIn Previous episode: Why Sport is Leading the Analytics Revolution with Ari Kaplan

Analytics
Why Sport is Leading the Analytics Revolution with Ari Kaplan 2022-08-02 · 20:55
Ari Kaplan – Head Evangelist @ Databricks , Jonas Christensen – host

Professional sports have undergone a true data revolution over the last two decades. Today, all major sports teams, regardless of sports code, use analytics and data science to drive team performance, optimise game outcomes and scout young talent. Why has analytics become so popular in professional sports and how does it help drive a competitive edge? To answer these questions and many more relating to the sports analytics, I recently spoke to Ari Kaplan. Ari has spent more than three decades using analytics to measure and understand human ability, scout future superstars and win professional sports titles. He is known as “The Real Moneyball Guy” because of his work in baseball and his involvement in making the Hollywood classic Moneyball. Today, Ari is Global AI Evangelist at DataRobot. Listen to this episode of Leaders of Analytics to learn: How Ari became “the Real Moneyball Guy”The analytics the Chicago Cubs used to break a 108-year drought by winning the World Series in 2016The evolution of analytics and data science in sportsWhat the business world can learn from sports in terms of using analytics to gain a competitive edgeWhere sports analytics is going in the future, and much more.

AI/ML Analytics Data Science
Baseball Hacks 2006-01-31
Joseph Adler – author

Baseball Hacks isn't your typical baseball book--it's a book about how to watch, research, and understand baseball. It's an instruction manual for the free baseball databases. It's a cookbook for baseball research. Every part of this book is designed to teach baseball fans how to do something. In short, it's a how-to book--one that will increase your enjoyment and knowledge of the game. So much of the way baseball is played today hinges upon interpreting statistical data. Players are acquired based on their performance in statistical categories that ownership deems most important. Managers make in-game decisions based not on instincts, but on probability - how a particular batter might fare against left-handedpitching, for instance. The goal of this unique book is to show fans all the baseball-related stuff that they can do for free (or close to free). Just as open source projects have made great software freely available, collaborative projects such as Retrosheet and Baseball DataBank have made great data freely available. You can use these data sources to research your favorite players, win your fantasy league, or appreciate the game of baseball even more than you do now. Baseball Hacks shows how easy it is to get data, process it, and use it to truly understand baseball. The book lists a number of sources for current and historical baseball data, and explains how to load it into a database for analysis. It then introduces several powerful statistical tools for understanding data and forecasting results. For the uninitiated baseball fan, author Joseph Adler walks readers through the core statistical categories for hitters (batting average, on-base percentage, etc.), pitchers (earned run average, strikeout-to-walk ratio, etc.), and fielders (putouts, errors, etc.). He then extrapolates upon these numbers to examine more advanced data groups like career averages, team stats, season-by-season comparisons, and more. Whether you're a mathematician, scientist, or season-ticket holder to your favorite team, Baseball Hacks is sure to have something for you. Advance praise for Baseball Hacks: " Baseball Hacks is the best book ever written for understanding and practicing baseball analytics. A must-read for baseball professionals and enthusiasts alike." -- Ari Kaplan, database consultant to the Montreal Expos, San Diego Padres, and Baltimore Orioles "The game was born in the 19th century, but the passion for its analysis continues to grow into the 21st. In Baseball Hacks, Joe Adler not only demonstrates thatthe latest data-mining technologies have useful application to the study of baseball statistics, he also teaches the reader how to do the analysis himself, arming the dedicated baseball fan with tools to take his understanding of the game to a higher level." -- Mark E. Johnson, Ph.D., Founder, SportMetrika, Inc. and Baseball Analyst for the 2004 St. Louis Cardinals

data data-science data-science-tasks exploratory-data-analysis Analytics
O'Reilly Data Science Books
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