Vultr, the privately held cloud computing platform, announced a partnership with GPU-accelerated analytics platform provider HEAVY.AI. Integrating Vultr’s global NVIDIA GPU cloud infrastructure into its operations, HEAVY.AI can interactively query and visualize massive datasets, enabling faster, more efficient decision-making for customers across diverse sectors.
HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
Building Trust in AI: Qlik’s Latest AutoML Enhancements Offer Transparent Explainability and Improved Business Outcomes
Qlik®, a global leader in data integration, analytics, and artificial intelligence (AI), announced new enhancements to its AutoML capabilities. These updates make it easier for analytics teams to build and deploy high-performing machine learning models, providing native analytics to explain predictions in real-time.
Active Archive Alliance Releases Special Report on Active Archives and AI
The Active Archive Alliance today released a special report, “How Active Archives Support Modern AI Strategies.” New artificial intelligence (AI) workflows are creating massive and persistent volumes of data that necessitate long-term retention and protection. Active archives help make AI workflow data easily accessible, searchable and retrievable on whatever storage platform or media it resides.
Neo4j Transforms Its Cloud Database Portfolio to Accelerate Graph Adoption & GenAI for the Enterprise
Graph database and analytics leader Neo4jⓇ announced a major transformation of its Aura cloud database management system (DBMS) portfolio – making it dramatically easier for enterprises to try, build, and accelerate graph in production for any workload or use case.
Protect AI Democratizes AI Security Training with Free MLSecOps Foundations Online Learning Course
Protect AI, a leading artificial intelligence (AI) and machine learning (ML) security company, announced the availability of MLSecOps Foundations, a free four part video training and certification program on how to build security into AI/ML led by its CISO Diana Kelley.
Hewlett Packard Enterprise Introduces One-click-deploy AI Applications in HPE Private Cloud AI
Hewlett Packard Enterprise (NYSE: HPE) announces HPE Private Cloud AI is available to order and introduces new solution accelerators to automate and streamline artificial intelligence (AI) applications. HPE Private Cloud AI is a turnkey, cloud-based experience co-developed with NVIDIA to help businesses of every size build and deploy generative AI (GenAI) applications that was introduced as part of the NVIDIA AI Computing by HPE portfolio.
Seekr Launches Self-Service AI Enterprise Platform to Accelerate Time to Market
Seekr today announced the launch of SeekrFlow, as a complete end-to-end AI platform for training, validating, deploying, and scaling trusted enterprise AI applications through an intuitive and simple to use web user interface (UI).
insideAI News – Company Highlights for AI Hardware and Edge AI Summit 2024
insideAI News is pleased to announce being a Media Partner for the upcoming AI Hardware & Edge AI Summit happening Sept. 9-12, 2024 in San Jose, Calif. Register now using the special insideAI News discount code “Insideai15” HERE. Editor-in-Chief & Resident Data Scientist, Daniel D. Gutierrez will be attending in-person to keep a pulse on this advancing industry. He will be conducting interviews with some of the movers and shakers from the AI industry ecosystem.
Employers Are Introducing AI: 77% of Workers Lost on How to Use It
Slingshot’s 2024 Digital Work Trends Report Reveals Employees Haven’t Yet Unlocked The Full Potential of AI in the Workplace Slingshot, the work management platform from software company Infragistics that brings data to the center of everything teams work on, has released Part 1 of its two-part 2024 Digital Work Trends Report. The second annual report reveals a […]
New MLPerf Inference v4.1 Benchmark Results Highlight Rapid Hardware and Software Innovations in Generative AI Systems
Today, MLCommons® announced new results for its industry-standard MLPerf®Inference v4.1 benchmark suite, which delivers machine learning (ML) system performance benchmarking in an architecture-neutral, representative, and reproducible manner. This release includes first-time results for a new benchmark based on a mixture of experts (MoE) model architecture. It also presents new findings on power consumption related to inference execution.