Heard on the Street – 6/3/2024

Welcome to insideAI News’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

AI Startup Jivi’s LLM Beats OpenAI’s GPT-4 & Google’s Med-PaLM 2 in Answering Medical Questions 

A purpose-built medical LLM developed by Jivi, an Indian startup co-founded by former BharatPe Chief Product Officer Ankur Jain, has claimed the number one slot on the Open Medical LLM Leaderboard. 

The Democratization of AI: 3 Dangers Business Leaders Must Confront

In this contributed article, Simone Bohnenberger-Rich, PhD, Chief Product Officer at Phrase, explores the dangers and challenges posed to business leaders as gen AI companies like ChatGPT open up their tools for deeper integration into organizations.

Pandora’s Box or Lockbox? The Top 3 Barriers to Implementing Generative AI

In this contributed article, Shayde Christian, Chief Data & Analytics Officer at Cloudera, discusses issues surrounding the barriers organizations face when it comes to implementing GenAI and how to navigate them.

Unleashing the Power of Graph and Vector Databases in the Age of Generative AI

In this contributed article, Dave Voutila, solutions engineer at Redpanda, does a dive deep into the world of graph and vector databases, explores how these technologies are converging in the age of generative AI and provides real-time insights on how organizations can effectively leverage each approach to drive their businesses. 

Nutanix Accelerates Enterprise Adoption of Generative AI

Nutanix (NASDAQ: NTNX), a leader in hybrid multicloud computing, announced new functionality for Nutanix GPT-in-a-Box, including integrations with NVIDIA NIM inference microservices and Hugging Face Large Language Models (LLMs) library

Embracing the Potential of Data: Beyond the ‘New Oil’ Metaphor 

In this contributed article, Cal Al-Dhubaib, Head of AI and Data Science at Further, discusses why businesses should treat data like radioactive materials—and how to avoid it becoming a liability.

FinTech Studios® Launches Apollo PRO® and RegLens PRO® Market Intelligence and Regulatory Intelligence Apps Powered with Conversational Generative AI 

FinTech Studios Inc., a leading Gen AI platform for enterprise search, market intelligence and regulatory intelligence, announced Apollo PRO and RegLens PRO, the most advanced generative AI enterprise search, market intelligence and regulatory intelligence apps that includes a “conversational chat” interface and contextually relevant “suggested prompts”, seamlessly integrated with millions of authoritative sources of web and enterprise content.

Deploying Machine Learning Models at Scale: Strategies for Efficient Production

In this contributed article, freelance writer Ainsley Lawrence briefly explores deploying machine learning models, showing you how to manage multiple models, establish robust monitoring protocols, and efficiently prepare to scale. 

Exasol Finds AI Underinvestment Leads to Business Failure, But Data Challenges Stall Rapid Adoption

Senior decision-makers know that AI is critical for their business’ viability, yet despite growing stakeholder pressure to implement the technology quickly, regulatory and technological challenges are slowing the process, according to a new report from our friends over at Exasol, the high-performance analytics database provider. Exasol’s 2024 “AI and Analytics Report” investigates the current state of AI implementation, top data analytics challenges, and the future of the C-suite given the explosive growth of data and adoption of emerging technologies.