A large language model (LLM) is an advanced artificial intelligence system that understands, processes, and generates human-like content. LLMs train on vast amounts of big data, allowing them to recognize complex patterns and structures to produce coherent, contextually relevant responses to a wide array of prompts. At their core, LLMs utilize cutting-edge natural language processing (NLP), which is made possible through deep learning techniques. Consequently, LLMs […]
From Parchment to Python: How Smart Data Evolved to What It Is Today
Data used to be a physical thing, stored on paper and in ledgers. Security was also a physical thing, with valuable data protected by actual locks and guards. Today, we navigate a landscape dominated by code, algorithms, and digital streams of data, a far cry from those early days. Yet, despite these transformative changes, the […]
The Rise of the AI Data Engineer
Although it’s a rewarding career, the job of chief data officer (CDO) comes with a long list of challenges, including massive data volumes and complexity, lack of high-quality data, privacy regulations, executive alignment, artificial intelligence (AI) and machine learning integration, and bridging the gap between technical data expertise and business objectives. What’s more, CDOs struggle […]
AI and High Availability Clustering – The Future of Self-Managing Systems
Artificial intelligence is changing everything – and its impact on high availability (HA) clustering is no exception. The way in which AI and HA are coming together is making clusters more resilient, self-sustaining, and increasingly smarter at handling workloads. In other words, instead of IT professionals continuously putting out fires – constantly adjusting and working […]
Six Steps Organizations Can Take to Gain Value from AI
Over the years, interest in artificial intelligence has cycled through periods of intense hype followed by mass disillusionment. To achieve genuine business value from AI, organizations must move past the hype and focus on pragmatic deployment – but that also requires a shift in mindset. Focusing on the following six critical elements will provide a […]
4 Ways to Build a Culture of AI Compliance
For years, AI innovation has outpaced regulation, allowing companies to develop and deploy AI systems with relatively little oversight. That era is coming to an end. Governments around the world are introducing comprehensive AI regulations, from the European Union’s AI Act, to NIST, down to state and local laws. As scrutiny intensifies, companies simply can’t […]
My Career in Data Season 3 Episode 4: Michael Meyer, Solutions Engineer, Snowflake
Welcome back to an all new season or My Career in Data – a DATAVERSITY Talks podcast where we sit down with professionals to discuss how they have built their careers around data. This episode we speak with Michael Meyer, Solutions Engineer at Snowflake, about how he turned his early interest in weather to a […]
Holistic AI Adoption to Better Manage and Leverage Data
As organizations navigate the complexities of the digital landscape, adopting artificial intelligence (AI) is no longer a luxury but a necessity. AI is set to transform industries, offering unprecedented opportunities for better efficiency, decision-making, and customer engagement. However, many companies still face significant challenges in bridging the AI gap – the space where potential meets […]
2025 Predictions in Machine Learning and AI
Is 2025 the year that the AI advances of recent years finally deliver significant results to corporate bottom lines worldwide? I believe the answer is yes. The technology has been ready for this shift for at least 18 months, but most users have yet to fully grasp the details needed to harness its full potential. […]
AI Data Retention Creates Environmental Stumbling Block
As artificial intelligence reshapes our world, an environmental crisis is building in its digital wake. Data center power demand is projected to surge 160% by 2030, potentially generating up to $149 billion in social costs, including resource depletion, environmental impact, and public health. While most of the conversations around this focus on the energy processing demands […]