At 2024 AI Hardware & Edge AI Summit: Daniel Valdivia, Engineer, MinIO

At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif., I caught up with Daniel Valdivia, Engineer, MinIO, creators of the MinIO Enterprise Object Store: Built for AI Data Infrastructure.

DataStax Expands Astra DB Extension for GitHub Copilot to Support Its AI PaaS, Empowering Developers to Build and Deploy GenAI Applications With Ease

DataStax, a leading AI platform, today announced the enhancement of its GitHub Copilot extension with its cutting-edge AI Platform-as-a-Service (AI PaaS) solution.

Zingly Announces a Proven, Safe-AI Solution for Banks and Financial Institutions to Drive Revenue Growth with Cost Reduction

AI-driven platform helps financial institutions deliver personalized experiences to maximize customer acquisition, onboarding and wallet share in regulated environments Zingly.ai, the GenAI and digital-first CX Center provider, unveiled a suite of AI solutions to fuel revenue growth for banking, financial services and insurance (BFSI) institutions. These companies face increasingly complex customer inquiries, heightened expectations and pressure to […]

UiPath Integrates Anthropic Claude Language Models to Deliver Next Generation AI Assistant and Solutions

UiPath embeds Anthropic’s Claude LLMs to fuel UiPath Autopilot for everyone, Clipboard AI, and a new GenAI healthcare solution to offer customers improved productivity, cost savings, and decision-making capabilities UiPath (NYSE: PATH), a leading enterprise automation and AI software company, announced the integration of Anthropic’s large language model (LLM), Claude 3.5 Sonnet, to deliver new AI features in three key […]

The Grand Challenge of Sustainable AI

In this contributed article, Michela Taufer, Ph.D. and Chandra Krintz, Ph.D., highlight that as we unlock AI’s full potential, society faces an unsettling paradox: the technology used to solve global problems may exacerbate one of our most pressing challenges – climate change.

The insideAI News IMPACT 50 List for Q4 2024

The team here at insideAI News is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

Report: Acrolinx Surveys Forbes 2000 Enterprises on Attitudes Toward AI Related to Use, Risk, and Regulation

Acrolinx, the AI-powered content governance software provider, sought to discover where current enterprise attitudes towards AI stand. Today, the company released its report “Generative AI in Business: A Snapshot of Enterprise Use, Risk, and Regulation.”

Rocket Software’s GenAI Advancements for Hybrid Cloud Revolutionize Mainframe and Cloud Integration

Rocket Software, Inc., a global technology leader in modernization software, is advancing its mission of supporting enterprises at every stage of their modernization journey by expanding its Hybrid Cloud solutions to include cutting-edge generative AI (GenAI) functionality.

Industry Leaders Call for House of Representatives to Draw Better Distinction Between AI Players Across Legislative Frameworks  

A group of AI integration industry leaders submitted a joint letter to the US House of Representatives Artificial Intelligence Task Force calling upon them to redefine roles and responsibilities for AI actors across the value chain. The letter was submitted to the House of Representatives leadership by Alteryx, Salesforce, Twilio, Box, Kyndryl, and Peraton.   

Balancing Innovation and Ethics: AI and LLMs in Modern Sales Engagement

In this contributed article, Logan Kelly, Founder and President of CallSine, discusses how LLMs and AI have combined to boost sales teams’ outreach. These revolutionary advancements are changing sales engagement by delivering remarkable efficiency and personalization capabilities. However, they also come with challenges that organizations must face when taking advantage of these incredible tools.