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.
deepset Launches Studio for Architecting LLM Applications with Native Integrations to deepset Cloud and NVIDIA AI Enterprise
Data Due Diligence is Critical to Maintaining Compliance and Mitigating Breaches During and After M&As
In this contributed article, Fredrik Forslund, Vice President and General Manager of International Sales for Blancco Technology Group, emphasizes the importance of adhering to cybersecurity and data governance best practices prior to an M&A to prevent a data breach and ensure the protection of an organization’s customer and corporate data.
How AI Is Lending a Helping Hand in the Data Security Industry
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, highlights how AI is turning into the trusty sidekick that every cybersecurity hero needs. Let’s dive into how AI is shaking things up and helping keep our digital lives safe and sound.
Regulators Must Keep Pace with Advancement of AI for Fresh and Innovative Healthcare Benefits
In this contributed article, Elaine Gemmell, Head of Regulatory Affairs at InnoScot Health, discusses regulators needing to keep pace with advancement of artificial intelligence for fresh and innovative healthcare benefits.
AI’s Role in Harmonizing Energy Supply With Consumer Demand
In this contributed article, freelance writer Ellie Gabel discusses how the power grid is aging and can no longer keep up with consumers’ needs. Without adequate intervention, blackouts will soon become a regular occurrence. Could artificial intelligence be the key to fixing the country’s supply and demand woes?
Transforming AI’s Memory Constraints: The Evolution with CXL Technology
In this contributed article, Jianping (JP) Jiang, VP of Business, Operation and Product at Xconn Technologies, discusses how the integration of CXL technology is a pivotal moment in overcoming the memory barriers faced by AI and HPC applications. By significantly enhancing memory bandwidth, capacity, and interoperability, CXL not only optimizes current workloads but also sets the stage for future advancements.
New Flexential Survey Unveils AI Infrastructure Challenges and Investment Priorities
Flexential, a leading provider of secure and flexible data center solutions, released its 2024 State of AI Infrastructure Report, a new survey on AI infrastructure investments and challenges. As organizations across nearly all industries plan ambitious roadmaps for AI adoption, Flexential’s report highlights crucial areas where IT leaders must evolve their current infrastructure to meet the growing demand of high-density AI workloads and latency-sensitive AI applications.
Revolutionizing Manufacturing: The AI Impact
In this feature article, Daniel D. Gutierrez, insideAInews Editor-in-Chief & Resident Data Scientist, discusses how AI is revolutionizing the manufacturing industry. This revolution promises to enhance efficiency, reduce costs, and improve overall product quality. We explore the multifaceted impact of AI on manufacturing and how it is reshaping the industry’s landscape.
Cohesity Bolsters Cyber Resilience with GenAI Capabilities
Cohesity, a leader in AI-powered data security and management, today extended its first-mover advantage in GenAI detection and recovery capabilities with the addition of significant new enhancements to the Cohesity Data Cloud. These improvements allow customers to use Cohesity’s built-in AI capabilities to rapidly detect, investigate, and address potential threats within their environment, enabling them to restore operations far more quickly.
Unlocking AI’s Potential: How to Build High-quality Data Foundations
In this contributed article, Chris Round, Senior Product Manager at Lakeside Software, suggests that AI’s critical flaw is that it doesn’t know good data from bad – it just knows data. So your AI is only as good as its underlying foundations.