Solo.io Announces Gloo AI Gateway to Address Growing Demand for AI-Driven Use Cases in Application Development 

Solo.io, a leading cloud-native application networking company, announced the release of Gloo AI Gateway, which is designed to meet the emerging use case of accelerating AI innovation.

New Alluxio Enterprise AI Innovations Accelerate GPUs Anywhere with 97%+ GPU Utilization

Alluxio, the developer of the open-source data platform, announced the immediate availability of the latest enhancements in Alluxio Enterprise AI. Version 3.2 showcases the platform’s capability to utilize GPU resources universally, improvements in I/O performance, and competitive end-to-end performance with HPC storage.

GridGain Advances Its Unified Real-Time Data Platform to Help Enterprises Accelerate AI-Driven Data Processing

GridGain® announced version 9 of the GridGain Unified Real-Time Data Platform. Building on the proven multi-dimensional data processing and analytics capabilities of version 8, GridGain 9 delivers the most stable, resilient, and high-performant solution for ultra-low latency data applications, powering the extreme speed, scale, durability and reliability critical to modern enterprise use cases and AI.

The Rise of Embedded Analytics and Embedded AI: Proportional Business Value at Last?

In this contributed article, Artyom Keydunov, co-founder and CEO of Cube, believes that although business intelligence (BI) solutions have gone a long way to make more data available to non-technical users, challenges remain. With a universal semantic layer, organizations can create curated, intuitive data experiences that are more accessible than ever, enabling users to derive far more value from enterprise data.

Proscia Strengthens Leadership Position In AI-enabled Diagnostic Pathology Market

Proscia®, a global leader in AI-enabled pathology solutions for precision medicine, has expanded its leadership position in the diagnostic pathology market. The company has grown its clinical customer base by more than 100% in the past year. Among its other highlights, Proscia was recognized by KLAS Research in a June 2024 Emerging Company Spotlight report and released findings from a study conducted with Quest Diagnostics, a leading provider of diagnostic information services, on the impact of its AI-enabled workflows.

Embracing the Future: Generative AI for Executives

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, believes that as generative AI continues to evolve, its potential applications across industries are boundless. For executives, understanding the foundational concepts of transformers, LLMs, self-attention, multi-modal models, and retrieval-augmented generation is crucial.

Acrolinx Launches New AI Capabilities To Unlock Enterprise Content Potential

Acrolinx, a global leader in SaaS enterprise content governance, launched new generative AI capabilities designed to maximize productivity benefits while mitigating the risks that AI poses. After a successful Beta program with over 20 enterprise customers, Get Suggestions, AI Assistant, and AI Guardrails are publicly available to empower all organizations to use AI confidently and securely.

How Organizations Can Avoid AI Sticker Shock

In this contributed article, Chris Opat, Backblaze senior vice president of cloud operations, highlights how companies can innovate with AI while staying within the budget by understanding the type of AI you’re training, its latency requirements, the quantities of training data, and what third-party data you’ll need.

Webinar: Getting Started with Llama 3 on AMD Radeon and Instinct GPUs

[Sponsored Post] This webinar: “Getting Started with Llama 3 on AMD Radeon and Instinct GPUs” provides a guide to installing Hugging Face transformers, Meta’s Llama 3 weights, and the necessary dependencies for running Llama locally on AMD systems with ROCm™ 6.0.

The Importance of AI in the Financial Industry

In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI has emerged as a transformative force across various sectors, and the financial industry is no exception. With its ability to process vast amounts of data, uncover patterns, and make predictions with unprecedented accuracy, AI is reshaping how financial institutions operate, manage risks, and serve their clients. This article explores the multifaceted impact of AI in the financial industry, highlighting its critical role in enhancing efficiency, improving decision-making, and fostering innovation.