Brightwave Secures $6 Million Seed Round to Launch AI-Powered Financial Research Assistant

Brightwave, the AI-powered research assistant that generates insightful, trustworthy financial analysis on any subject, today announced $6 million in seed funding. The round was led by Decibel Partners, with backing from Point72 Ventures, Moonfire Ventures, and angel investors including executives from OpenAI, Databricks, Uber, and LinkedIn. Founded by engineers with deep knowledge in AI and finance infrastructure, co-founders Mike Conover and Brandon Kotara have over 20 years combined experience building AI and machine learning products

Low Code/No Code

In this contributed article, Ben Kliger, CEO and co-founder, Zenity, explores the connection between AI and no/low code development and how to bring application security measures to the new world of low-code/no-code app development.

In the Era of Cloud and AI, Hard Drives are More Critical than Ever Before 

In this contributed article, Jason Feist, Seagate’s Senior Vice President of Products and Markets, believes that amidst the data center boom and growth of AI, data storage is more important than ever, and it’s high time we revisit the HDD vs. SSD debate. While flash offers latency advantages and prices dropped temporarily, SSDs haven’t – and
never will – replace HDDs,

From ER Diagrams to AI-Driven Solutions

In this contributed article, Ovais Naseem from Astera, takes a look at how the journey of data modeling tools from basic ER diagrams to sophisticated AI-driven solutions showcases the continuous evolution of technology to meet the growing demands of data management. Understanding how data modeling tools have changed over time gives us important insights into why organizing and analyzing data well is so important.

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.

Survey: C-Suite Execs Trust AI’s Potential but Face Challenges in Strategy, Execution, and Reliability

A new survey of C-suite executives and AI leaders shows while enterprise decision-makers trust the potential of AI, many lack confidence in their company’s strategy to execute as well as the data readiness to ensure reliability of AI outputs. Moreover, 7 in 10 executives say their AI strategy is not fully aligned to their business strategy today.

Redefining Digital Engagement in a Cookieless World: The Power of AI and Zero-Party Data

In this contributed article, Christian J. Ward, Executive Vice President and Chief Data Officer at Yext, discusses how before January of this year, up to 83% of marketers relied on third-party data sources for personalization strategies. Now, as cookies continue to phase out, those marketers might be facing a crisis — but it could be an opportunity to create more trustworthy, privacy-respecting strategies in the long run.

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.

Aurora Supercomputer Ranks Fastest for AI

At ISC High Performance 2024, Intel announced in collaboration with Argonne National Laboratory and Hewlett Packard Enterprise (HPE) that the Aurora supercomputer has broken the exascale barrier at 1.012 exaflops and is the fastest AI system in the world dedicated to AI for open science, achieving 10.6 AI exaflops. Intel will also detail the crucial role of open ecosystems in driving AI-accelerated high performance computing (HPC).

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.