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Critical Vulnerabilities Found in Open Source AI/ML Platforms

Ooda Loop

Over the past month, security researchers on the Huntr bug bounty platform for artificial intelligence (AI) and machine learning (ML) have identified multiple severe vulnerabilities in popular AI/ML solutions such as MLflow, ClearML, and Hugging Face.

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Sport analytics leverage AI and ML to improve the game

CIO

Computer vision, AI, and machine learning (ML) all now play a role. Here are three examples of how international sports organizations are using AI and ML to change the way players and coaches approach their sports. During each week of games, the platform captures and processes 6.8

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Alluxio Launches AI-Optimized Data Platform for Faster ML Pipelines

Dzone - DevOps

Alluxio , a leading data platform company, recently announced Alluxio Enterprise AI — a new solution purpose-built to accelerate enterprise artificial intelligence (AI) and machine learning (ML) workloads. However, legacy data infrastructure often hinders AI adoption due to challenges like:

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TransUnion transforms its business model with IT

CIO

That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security. The multilayered data platform will enable TransUnion’s customers to perform deep analytics and build complex AI models.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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3 ways AI is set to disrupt the C-suite

CIO

No one questions the tremendous impact generative artificial intelligence (gen AI) platforms and tools will have on the future of work. Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report.

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Cross-Platform Testing with AI/ML – Benefits & Challenges

Trigent

Drivers for cross-platform testing. Accelerated adoption of digital has impaired users when it comes to the choice of device, operating system, browser as well as a platform to access any application. Cross-platform testing helps uncover application issues when ported across any combination of devices and operating systems.

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