In this contributed article, Sanket Patel, co-founder of Digicorp, discusses how in the healthcare industry, predictive analytics aims to foresee patient health trends, treatment outcomes, and potential risks by analyzing vast amounts of medical data.
Shining a Light on Dark Data: The Path to Responsible AI Integration
August 30, 2024 by
In this contributed article, Soniya Bopache, vice president and general manager, data compliance and governance at Veritas Technologies, discusses how integrating AI into business operations requires addressing the challenge of dark data—unstructured and unused information that can lead to biased or compromised AI outputs. Organizations must prioritize comprehensive data management and governance to ensure AI systems are powered by high-quality data, meeting both operational goals and regulatory compliance.
How Artificial Intelligence is Revolutionizing Automotive Retailing
August 30, 2024 by
In this contributed article, Devin Daly, CEO and Co-Founder of Impel, discusses five of the most impactful ways that AI is improving the automotive retailing experience.
Dremio Revolutionizes Lakehouse Analytics with Breakthrough Autonomous Performance Enhancements
August 28, 2024 by
Dremio, the unified lakehouse platform for self-service analytics and AI, announced a breakthrough in data lake analytics performance capabilities, extending its leadership in self-optimizing, autonomous Iceberg data management. By accelerating outcomes and eliminating complexity with new market-leading features, Dremio enables organizations to reduce total cost of ownership (TCO) and time-to-business-insight.
NVIDIA and Global Partners Launch NIM Agent Blueprints for Enterprises to Make Their Own AI
August 27, 2024 by
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
August 21, 2024 by
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.
New Report – 66% of Data Leaders Want More Governance and Enhanced Security
August 19, 2024 by
Informatica recently published a global report highlighting what senior-level data leaders need for a modern and competitive data architecture. A staggering 86% cite the need for improved data management, efficiency and operational costs as core decision drivers. Scaling AI at the enterprise level requires data management systems to process massive amounts of data accurately.
Decube Launches AI Copilot to Revolutionize Data-Driven Decision-Making
August 17, 2024 by
Decube, a pioneer in unified data management solutions, announced the launch of their Copilot, an advanced AI-driven tool designed to empower organizations with seamless, data-driven decision-making capabilities. Decube’s Copilot is poised to transform how businesses interact with and leverage their data, making it more accessible, actionable, and insightful.
InsideAI News on the Move: Join Us at the Premier AI Industry Events!
August 16, 2024 by
At InsideAI News, we believe that the best way to stay at the cutting edge of artificial intelligence is by engaging directly with the innovators, thinkers, and leaders driving the industry forward. That’s why we’re thrilled to announce our in-person attendance at some of the most prestigious AI industry conferences this year
Hasura Introduces Metadata-Driven Federated Data Access Layer for Streamlined Governance
August 16, 2024 by
Data API and GraphQL leader Hasura announced significant innovations that enable unified access to distributed data, governed by a central semantic and authorization framework. This solves one of the hardest problems facing businesses building AI features and products: connecting their LLM models to enterprise data, composed from multiple domains, while complying with governance and security policies.
