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.
Building Trust in AI: Qlik’s Latest AutoML Enhancements Offer Transparent Explainability and Improved Business Outcomes
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.
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.
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.
NVIDIA and Global Partners Launch NIM Agent Blueprints for Enterprises to Make Their Own AI
NVIDIA today announced NVIDIA NIM(tm) Agent Blueprints, a catalog of pretrained, customizable AI workflows that equip millions of enterprise developers with a full suite of software for building and deploying generative AI applications for canonical use cases, such as customer service avatars, retrieval-augmented generation and drug discovery virtual screening.
Heard on the Street – 8/21/2024
Welcome to insideAI News’s “Heard on the Street” round-up column. In this feature, we highlight thought-leadership commentaries from members of the AI industry ecosystem. We cover the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.
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Synthetic Data Solves AI’s Biggest Problem
In this contributed article, Kalyan Veeramachaneni, co-founder and CEO of DataCebo, discusses how synthetic data is a useful application of AI technology that is already delivering real, tangible value to customers. More than mere fake data, synthetic data supports data-driven business systems throughout their lifecycle, particularly where ongoing access to production data is impractical or ill-advised.
insideAI News – Media Partner 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. 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.
deepset Launches Studio for Architecting LLM Applications with Native Integrations to deepset Cloud and NVIDIA AI Enterprise
deepset, the mission-critical AI company, today announced an expansion of its offerings with deepset Studio, an interactive tool that empowers product, engineering and data teams to visually architect custom AI pipelines that power agentic and advanced RAG applications. AI teams are now able to more easily build top-tier composable AI systems, and immediately deploy them in cloud and on-premises environments using deepset Cloud and NVIDIA AI Enterprise software.