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 […]
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 […]
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 […]
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…
How AI Graph Databases Are Empowering the Business with Better Insights (Part Two)
In the dynamic landscape of data-driven decision-making, businesses are turning to the transformative power of AI graph databases to unlock unparalleled insights. This cutting-edge technology is reshaping the way organizations harness and analyze interconnected data, paving the way for more informed, strategic, and agile business strategies.
In the first part of this blog series, we discussed…