Generative AI Report – 3/1/2024

Welcome to the Generative AI Report round-up feature here on insideBIGDATA with a special focus on all the new applications and integrations tied to generative AI technologies. We’ve been receiving so many cool news items relating to applications and deployments centered on large language models (LLMs), we thought it would be a timely service for readers to start a new channel along these lines. The combination of a LLM, fine tuned on proprietary data equals an AI application, and this is what these innovative companies are creating. The field of AI is accelerating at such fast rate, we want to help our loyal global audience keep pace.

Heard on the Street – 2/29/2024

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.

NEW RESEARCH: Growing Database Complexity Will Fuel Significant Skills Gaps in 2024

Increasing complexity, the rapid adoption of emerging technologies and a growing skills gap are the biggest concerns facing IT leaders in 2024, according to The State of the Database Landscape, a major new survey from end-to-end Database DevOps provider Redgate. 

A Brief Overview of the Strengths and Weaknesses Artificial Intelligence 

In this contributed article, editorial consultant Jelani Harper suggests that since there are strengths and challenges for each form of AI, prudent organizations will combine these approaches for the most effective results. Certain solutions in this space combine vector databases and applications of LLMs alongside knowledge graph environs, which are ideal for employing Graph Neural Networks and other forms of advanced machine learning.

The Future of Computing: Harnessing Molecules for Sustainable Data Management

In this contributed article, Erfane Arwani, founder and CEO of Biomemory, discusses how molecular computing (using molecules rather than traditional silicon chips for computational tasks) could be a critical component in revolutionizing data storage, despite the exponential growth of AI.

Heard on the Street – 2/22/2024

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.

Compromising on your Data Stack? Solving Top Analytics Challenges

Organizations face more pressure than ever to be data-driven, but as economic challenges loom they are forced to do more with less with their IT budgets, making compromises with their analytics databases that end up hindering their data-driven initiatives. In this article, Exasol’s North American Business Lead, John Knieriemen, shares some best practices for how organizations can address these analytics challenges.

The Infrastructure behind the Outputs: Cloud and HPC Unlock the Power of AI

In this contributed article, Philip Pokorny, Chief Technology Officer for Intelligent Platform Solutions/Penguin Solutions at SGH, provides insights regarding the relationship between high-performance computing (HPC) and generative AI and his expert point-of-view of the growing market. The increasing momentum behind generative AI in recent months has raised the prospective capabilities of enterprise businesses. At the forefront of this technology will be those that leverage HPC to create their solutions.

Video Highlights: Data Science Trend Predictions — with Sadie St. Lawrence

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Sadie St. Lawrence to analyze last year’s predictions and delve into the emerging technologies reshaping the field. They cover a range of topics, including the rise of AI hardware accelerators, the evolution of large language models into operating systems, and the potential impact of generative AI on data analysis roles.

The Impact of Data Analytics Integration Mismatch on Business Technology Advancements

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that when professionals are aware their data sets have missing, incomplete or inaccurate values, cleaning is often their first instinct. While it is an adequate approach, it won’t result in the same benefits as proactive action. If businesses prioritize standardization and compatibility, they can gain a competitive advantage, improve their strategic decision-making and accelerate technological advancement.