In this contributed article, Ryan Lougheed, Director, Platform Management at Onspring, discusses how data silos wreak havoc not only on the decision-making process, but also on the ability to enact regulatory compliance. The threat of data duplications and inability to scale are some of the main issues with data silos. And suspect data leads to regulatory compliance issues, like unknowingly not following GDRP regulations, which can lead to fines and other legal complications. Building a comprehensive data library can reap several benefits.
AI Fuels Nearly 30% Increase in IT Modernization Spend, Yet Businesses Are Unprepared for Growing Data Demands, Couchbase Survey Reveals
May 7, 2024 by Leave a Comment
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
May 6, 2024 by Leave a Comment
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.
Hyve Solutions Named Design Partner for NVIDIA HGX Product Line
May 4, 2024 by Leave a Comment
Hyve Solutions Corporation, a wholly owned subsidiary of TD SYNNEX Corporation (NYSE: SNX) and a leading provider of hyperscale digital infrastructures, today announced it has become a design partner for the NVIDIA HGX platform. This designation marks a significant milestone in Hyve’s focus on accelerating artificial intelligence (AI) in the datacenter and at the edge.
Big AIs in Small Devices
May 3, 2024 by Leave a Comment
In this contributed article, Luc Andrea, Engineering Director at Multiverse Computing, discusses the challenge of integrating increasingly complex AI systems, particularly Large Language Models, into resource-limited edge devices in the IoT era. It proposes quantum-inspired algorithms and tensor networks as potential solutions for compressing these large AI models, making them suitable for edge computing without compromising performance.
Cultivating Ethical Intelligence: Navigating the Landscape of AI Ethics in the Digital Age
May 2, 2024 by Leave a Comment
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.
In 2024, Data Quality and AI Will Open New Doors
May 1, 2024 by Leave a Comment
In this contributed article, Stephany Lapierre, Founder and CEO of Tealbook, discusses how AI can help streamline procurement processes, reduce costs and improve supplier management, while also addressing common concerns and challenges related to AI implementation like data privacy, ethical considerations and the need for human oversight.
The Importance of Protecting AI Models
April 30, 2024 by Leave a Comment
In this contributed article, Rick Echevarria, Vice President, Security Center of Excellence, Intel, touches on the growing importance of protecting AI models and the data they contain, as this data is often sensitive, private, or regulated. Leaving AI models and their data training sets unmanaged, unmonitored, and unprotected can put an organization at significant risk of data theft, fines, and more. Additionally, poorly managed data practices could result in costly compliance violations or a data breach that must be disclosed to customers.
Avoid these 8 Data-related Mistakes on Data Projects
April 29, 2024 by Leave a Comment
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
Rockets: A Good Analogy for AI Language Models
April 27, 2024 by Leave a Comment
In this contributed article, Varun Singh, President and co-founder of Moveworks, sees rockets as a fitting analogy for AI language models. While the core engines impress, he explains the critical role of Vernier Thrusters in providing stability for the larger engine. Likewise, large language models need the addition of smaller, specialized models to enable oversight and real-world grounding. With the right thrusters in place, enterprises can steer high-powered language models in the right direction.
