Despite today’s data scientist talent shortage, organizations are not holding back from investing in Data Science initiatives. A recent survey produced by my company in collaboration with TechTarget’s Enterprise Strategy Group shows that most organizations understand how to overcome today’s talent shortage. 87% of respondents said that building Data Science skills across domains and lines of business departments is a […]
Building an Effective Data Strategy for Edge Deployments
Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources. An effective data strategy also needs to define how data can be moved from various sources to a location where […]
From Labs to Leaders: 2024’s Generative AI Predictions for Industry Champions
In the past year, we have witnessed the explosive emergence of generative AI (GenAI) use cases. Its potential to revolutionize how businesses analyze, create, and compete is undeniable, but beyond the hype, a critical question hangs in the air: How will industries move forward with GenAI in 2024? This blog post explores five key predictions […]
Three Ways AI Will Change in the New Year
In the fast-paced landscape of 2023, organizations embraced artificial intelligence (AI) and its related technologies, experiencing a surge in diverse AI applications. According to data from McKinsey, there was a significant 55% adoption rate of AI across global industries by employees. However, as we step into 2024, organizations recognize that while AI is critical for competitiveness and […]
The FAAR Framework for Consuming Insights from Data and Analytics
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 […]