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 […]
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 […]
Balancing Generative AI Risk with Reward
Have you heard the story about the lawyer who used ChatGPT to conduct legal research and unknowingly cited non-existent cases in a New York federal court filing? The GenAI tool just made them up. Did you know that X’s Grok accused Golden State Warriors Guard Klay Thompson of vandalizing a string of homes in Sacramento after misinterpreting tweets about […]
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 […]
Thriving in the “Second Wave” of Big Data Modernization
The idea of managing data at tremendous scale is hardly new. Most businesses embraced the concept of “big data” and associated technologies (like data lakes) at least a decade ago. However, the adoption of modern AI technology has introduced major new challenges to the big data world – so many, in fact, that it feels […]
Unlocking AI Success: Creating a Winning Data Strategy
AI has the power to transform industries by analyzing massive datasets and automating complex processes. However, AI’s effectiveness is directly tied to the integrity of the data fueling it. Data governance is required to drive accountability around privacy and ethics, while poor quality data results in inaccurate AI outcomes, leading to customer dissatisfaction, delayed decisions, […]
DGIQ + AIGov Conference: Takeaways and Trending Topics in Data Quality
In this series of blog posts, I aim to share some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominent topics discussed in the conference’s core subject areas: data governance, data quality, and AI governance. In the first blog post of […]