Moneyball 2.0: Real-time Decision Making With MLB’s Statcast Data
The Oakland Athletics baseball team in 2002 used data analysis and quantitative modeling to identify undervalued players and create a competitive lineup on...
Inspiration doesn’t always come from our peers. Some of the best ideas come from innovators in other industries.This is especially true when it comes to data science and AI/ML innovations being applied to business processes and all aspects of operational decision-making.
Consider fraud: Who knows how to analyze millions of data points in real-time better than a credit card company? Now consider the customer experience; online retailers have mastered using machine learning (ML) to personalize recommendations, and adtech companies wrote the book on how to use internal and external data to create a 360° view of the customer. Every company, regardless of industry, can learn from these innovators.
Making it simpler and more accessible for our customers to learn from each other is what inspired us to create the Databricks Solutions Showcase. This virtual event takes place on July 22nd and features data leaders from some of most innovative data-driven enterprises. Now, you can explore how top global brands like Disney, Walmart, ExxonMobil, HSBC, Takeda Pharmaceuticals, Rolls Royce Holdings, John Deere and more are leveraging a lakehouse architecture to transform their business, focusing on six hot topic areas that cut across industries:
- Supply chain
- Customer 360
- IoT
- Real-time analytics
- Advertising optimization
Security & fraud detection
These business leaders and innovators in AI strategy will share, in their own words, the big data challenges they faced and how they are using advanced data engineering and analytics to overcome them and drive topline results. In the meantime, you can explore the Databricks Solution Accelerators, fully functional pre-built code to tackle the most common and high-impact use cases that our customers are facing. Get a hands-on demonstration of their capabilities and business value for a variety of the most common business use cases, such as customer contextual fraud detection, churn prediction, demand forecasting and advertising attribution + optimization.
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