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.

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.

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.

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.

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.

Infographic: Data Never Sleeps: AI Edition

Our friends over at Domo (Nasdaq: DOMO) unveiled a special edition of its popular Data Never Sleeps (DNS) infographic, focused on the proliferation of artificial intelligence (AI). An extension of Domo’s award-winning annual DNS report, this AI Edition provides a deeper dive into the immense amount of AI data generated every minute and the impact this brings into our everyday lives.

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.

AI in Banking – How Artificial Intelligence is Used in Banks

In this contributed article, Ishan Gupta. CEO and Co-founder of RipenApps, discusses how banks have historically been at the forefront of technological advancements, they are renowned for using computers as well as providing internet-based financial services. However, the rise of AI has brought with it a new dawn of innovations. These days, AI is disrupting the entire banking sector in several ways. 

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).

Business Leaders Must Prioritize Data Quality to Ensure Lasting AI Implementation

In this contributed article, Subbiah Muthiah, CTO of Emerging Technologies at Qualitest, takes a deep dive into how raw data can throw specialized AI into disarray. While raw data has its uses, properly processed data is vital to the success of niche AI. Industries such as medical, legal, and pharma require data that is contextualized, categorized, and verified. Business leaders must master data processing to succeed in an AI-powered world.