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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

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.

Boomi Discovery Report Reveals More Than Half of Enterprises Invest in GenAI for Integration and Automation 

Boomi™, the intelligent integration and automation leader, announced findings from its Boomi Discovery Report, commissioned by 451 Research. The report, based on perspectives from 650 business and IT leaders across a broad range of industries, outlines how enterprises are using Generative AI (GenAI) to integrate systems and automate processes, and how this has helped their business operations as a result.

BigID Becomes the First DSPM to Pioneer Data Security and AI Innovation with AI Vector Database Scanning Solution

BigID, a leader in data security, compliance, privacy, and AI data management, announced a groundbreaking innovation that is set to transform the AI landscape. Today, BigID becomes the first Data Security Posture Management (DSPM) solution to offer scanning and securing of sensitive data stored in vector databases: a critical advancement for AI adoption and enterprise security.

New Study Puts Claude3 and GPT-4 up Against a Medical Knowledge Pressure Test

Kahun, the evidence-based clinical AI engine for healthcare providers, shares the findings from a new study on the medical capabilities of readily-available large language models (LLMs). The study compared the medical accuracy of OpenAI’s GPT-4 and Anthropic’s Claude3-Opus to each other and human medical experts through questions based on objective medical knowledge drawn from Kahun’s Knowledge Graph.

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.

Couchbase Study: Financial Services Organizations Ramp Up for GenAI Despite Infrastructure Concerns

Couchbase’s recent survey of 500 global IT leaders uncovered that while financial services organizations will increase IT modernization investment by a third (33%) in 2024, they still feel unprepared for growing data demands.

New KNIME Release Helps Enterprises Scale GenAI While Reducing Risk

KNIME, one of the leading open-source data science and AI companies, is announcing a new release to help enterprises securely scale their use of GenAI. The new GenAI features allow organizations to access more AI models, govern which AI models are being used by their data science teams, and ensure no leakage of sensitive data.

Lack of Governance, Infrastructure Readiness, and IT Talent Leading to Enterprise GenAI Struggles: New Report 

Despite growing interest and enthusiasm for  Generative AI (GenAI), significant challenges are emerging that threaten the success of GenAI projects, according to a co-sponsored research report from Enterprise Strategy Group (ESG) and Hitachi Vantara, the data storage, infrastructure, and hybrid cloud management subsidiary of Hitachi, Ltd. (TSE: 6501).

MIT News: How to Assess a General-purpose AI Model’s Reliability Before It’s Deployed

Researchers from MIT and the MIT-IBM Watson AI Lab developed a technique to estimate the reliability of foundation models before they are deployed to a specific task. They do this by considering a set of foundation models that are slightly different from one another. Then they use their algorithm to assess the consistency of the representations each model learns about the same test data point. If the representations are consistent, it means the model is reliable.