Faced with overwhelming amounts of data, organizations across the world are looking at leveraging data and analytics (D&A) to derive insights to increase revenue, reduce costs, and mitigate risks. McKinsey found that insight-driven companies report EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to Forrester, organizations that use data and insights […]
How To Build Autonomous Agents – The End-Goal for Generative AI
There are lots of numbers being thrown around about the potential of generative AI (GenAI). From trillions of dollars added to the global economy, to significant percentages of work being driven by GenAI, the big picture looks great. But turning this potential into reality is where the hard work starts. Autonomous agents are software programs […]
The Cool Kids Corner: CLEAR Communication
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as the data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about communication. Communication is the cornerstone of socializing anything you do with data, whether that’s […]
Data’s Chess Game: Strategic Moves in Data Modeling for Competitive Advantage
Having been an avid chess player for years, I find that my perspective on everything I do in life often mirrors the strategic thinking inherent in the game. Therefore, it was just a matter of time before this chess-inspired outlook permeated my professional life as a data practitioner. In both chess and data modeling, the […]
Heart of the Matter: Demystifying Copying in the Training of LLMs
Reflecting on the past 15 months, the progress made in generative AI and large language models (LLMs) following the introduction and availability of ChatGPT to the public has dominated the headlines. The building block for this progress was the Transformer model architecture outlined by a team of Google researchers in a paper entitled “Attention Is […]
AI in 2024: The Other Side
I’ve made a lot of predictions about how AI will change programming. Hacking code will be less important than understanding problems, we’ll have better tools for generating code, higher-level skills will be more valuable, and so on. All of these are tied together, to some extent. If programmers spend less time writing code, they will have more […]
IT leaders Need to Invest in AI – Could ITAM and FinOps Be the Solution?
Artificial intelligence is the top investment area for CIOs in 2024. IT leaders see in generative AI an opportunity to accelerate innovation, improve employee productivity, and gain competitive advantage. Unfortunately, investing in AI is not cheap. CIOs will need to find significant budget to make traction in their AI roadmap and we believe IT asset […]
Data Under Siege? Combatting the Weaponization of Information in the Digital Age
The emergence of generative AI marks a pivotal shift in the digital landscape, profoundly impacting our ability to discern reality from fabrication. This technology, capable of producing highly convincing and realistic content such as news articles, social media posts, images, and videos, blurs the line between what’s authentic and what’s engineered. Its rise bears significant […]
It’s Not Too Late to Leverage AI, but You Must Get Started Today
AI’s potential enchants experts across all industries. For customer support specialists, generative AI solutions have improved productivity by up to 35%. For software developers, AI can handle mundane tasks like repetitive coding and automated deployment, enabling engineers to focus on essential quality-of-code updates…
From Neural Networks to Transformers: The Evolution of Machine Learning
Foundation models like large language models (LLMs) are a vast and evolving subject, but how did we get here? To get to LLMs, there are several layers we need to peel back starting with the overarching topic of AI and machine learning. Machine learning is within AI and it’s simply the process of teaching computers to learn from and make decisions based on data…