Storj Acquires Leading AI Compute Provider, Valdi

Storj announced a new era in distributed cloud innovation with the acquisition of Valdi. Storj is a leader in distributed cloud object storage, disrupting the $100 billion cloud storage market, delivering up to 90% cost savings and 90% less carbon emissions for customers. Valdi is the leader in on-demand high performance cloud computing (GPUs) widely used for AI training and inference in data-intensive industries like technology, research and life-sciences.

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.

The Tech Tracking 2024 Presidential Ad Campaigns

A new searchable database allows the public to examine groups running social media ads that mention U.S. presidential candidates, including secretly coordinated pages that are running identical videos or messages.  The project is supported by a grant and use of analytics software from Neo4j, a leading graph database and analytics company.

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.

AI Set to Save Professionals 12 Hours Per Week by 2029

Thomson Reuters (TSX/NYSE: TRI), a global content and technology company, released its 2024 Future of Professionals report, an annual survey of more than 2,200 professionals working across legal, tax, and risk & compliance fields globally.

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.

AI at Work: Friend and Foe

A new report was published by Boston Consulting Group (BCG). Titled AI at Work: Friend and Foe, the study follows the firm’s inaugural AI at Work survey from last year and is based on a global survey of more than 13,000 employees in 15 countries and regions conducted by BCG X, BCG’s tech build and design division. The survey’s respondents range from executive suite leaders to frontline employees who do not hold managerial positions, although most respondents work in office-based roles.