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How Enterprises Boosted AI Through Infrastructure Upgrades

CIO Business Intelligence

Increasing amounts of sensor data and a desire to use larger neural networks and models with more parameters led the group to install an NVIDIA DGX Station and two NVIDIA DGX servers, which are purpose-built to meet the demands of enterprise AI and data science. Where can new AI thinking take your business?

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13 power tips for Microsoft Power BI

CIO Business Intelligence

AutoML suggests what columns of data to use for the model, selects and tunes the algorithm automatically, and includes the performance and reliability of the model created, along with what features influence the predictions it makes for which products are most likely to be out of stock at particular distribution centers.

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IBM named a Leader in the latest Forrester Wave™ report for AI Decisioning

IBM Big Data Hub

We received the highest score in the “Current offering” category on the scorecard, the highest possible scores in the authoring, applications, and supporting products and services criteria, and the highest market presence score among all evaluated vendors. We are pleased that IBM has been named as a Leader in the Forrester Wave.

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AWS Professional Services scales by improving performance and democratizing data with Amazon QuickSight

AWS Big Data

The Weekly Business Review (WBR) Backlog Summary dashboard that replaced the complex scorecards with interactive QuickSight visuals: Implementing the FAIRS data sharing framework QuickSight improves the ability to securely Find, Access, Interoperate, and Reuse (FAIRS) the data across ProServe, AWS, and Amazon.

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Strategies for hiring diverse teams and creating inclusive workplaces

Insight

The panel was moderated by Richard Hughes (Director of Recruiting at Managed by Q) and included Amy Wolf Forrester (Senior HR Business Partner at Compass), Annie DeStefano (Senior Manager, Engineering Operations at Foursquare), and Haile Owusu (SVP of Analytics, Decisions and Data Sciences at Turner).

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Cindy Howson: Best Practices for AI and the Joy of Hosting a Podcast

DataRobot

When I offered recent podcast guest Cindi Howson the opinion that data science has become much simpler, she had a ready response: “Are you telling me it’s not hard anymore?”. But Howson knows her data science. But HR is often given short shrift in terms of data and analytics. I had to laugh.

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

This has led to the emergence of real-time OLAP solutions, which are particularly relevant in the following use cases: User-facing analytics – Incorporating analytics into products or applications that consumers use to gain insights, sometimes referred to as data products. Anomaly detection – Identifying outliers or unusual behavior patterns.

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