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…
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…
2024 Predictions in AI and Natural Language Processing (NLP)
While we were right at the dawn of generative AI this time last year, we didn’t predict quite the profound impact and seismic shift it would create around the world with the introduction of ChatGPT. In our set of 2023 predictions, we did note the potential effect of LLMs, with research showing their ability to self-improve, […]
Reimagining Data Strategy to Unlock AI’s Potential
Data: The currency powering the modern digital economy. In a world generating 3.5 quintillion bytes of data every day, one reality is clear – we’re surrounded by a sea of information. While this abundance of data presents immense opportunities, businesses often struggle to fully capitalize on its potential for informed decision-making and strategic insights.
Consider this. While data is perhaps every company’s most valuable asset for enabling a growth-driving customer experience…
Organizations Are Underutilizing Their Data – Here’s Why (and How to Fix It)
The mainstreaming of predictive analytics and generative AI has brought Data Management into focus. Artificial Intelligence both runs on and produces a vast amount of data that must be effectively managed, governed, and analyzed. However, a recent survey of 1,000 North American executives revealed that organizations aren’t quite up for the challenge.
Many companies are not prepared to implement AI or other technologies into their existing IT infrastructure and workforce in a timely manner…