Genpact/HFS Share Considerations for Intelligent and Sustainable Gen AI Adoption

Genpact’s released a new report, issued alongside HFS surveying over 550 senior executives across 12 countries and 8 industries titled “The Two-Year Gen AI Countdown: How businesses are scaling GenAI adoption and avoiding the productivity trap.” The report unpacks how there is a two-year window to capitalize on the advantages of generative AI before competitive disadvantages emerge.

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

New Research from Elastic Finds Conversational Search Could Yield Staggering Productivity Returns

New research by Elastic (NYSE: ESTC), the company behind Elasticsearch®, found nearly all (99%) global IT decision makers, regardless of region or industry, recognize GenAI’s transformative potential to influence change within their organizations. However, early adoption continues to be slowed by chaotic data estates, search challenges, and fears around privacy and security, regulation, and internal skills gaps.

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.

Heard on the Street – 5/9/2024

Welcome to insideBIGDATA’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 Fuels Nearly 30% Increase in IT Modernization Spend, Yet Businesses Are Unprepared for Growing Data Demands, Couchbase Survey Reveals

Couchbase, Inc. (NASDAQ: BASE), the cloud database platform company, released the findings from its seventh annual survey of global IT leaders. The study of 500 senior IT decision makers found that investment in IT modernization is set to increase by 27% in 2024, as enterprises look to take advantage of new technologies, such as AI and edge computing, while meeting ever-increasing productivity demands.

5 Ways AI Could Be Putting Your Business Under Threat

The topic of AI couldn’t be hotter, with the advent of tools such as ChatGPT and Midjourney posing very real questions of what AI means for the future of humanity. 35% of businesses globally have stated they currently use AI, with 42% stating they plan to use it at some point in the future. With this in mind, the tech experts over at our friends SOAX have looked at five ways AI could be putting your business under threat. 

Cultivating Ethical Intelligence: Navigating the Landscape of AI Ethics in the Digital Age

In this contributed article, Dev Nag is the CEO/Founder at QueryPal, discusses how the evolving regulatory environment, highlighted by initiatives like the Biden administration’s executive order, alongside proactive platform actions such as X’s response to the Taylor Swift deepfake incident, offers a roadmap for fostering responsible AI innovation. By integrating these insights into their ethical frameworks, leaders can champion a culture of exploration and advancement in AI, grounded in principles of integrity and transparency. 

Avoid these 8 Data-related Mistakes on Data Projects

This article is excerpted from the book, “Winning with Data Science: A Handbook for Business Leaders,” by Howard Friedman and Akshay Swaminathan with permission from the publisher, Columbia Business School Publishing. The article covers how to avoid 8 data-related mistakes on data projects