In this third and final installment of the series, Krzysztof Korbacz will take a deep dive into the role of AI agents. Anyone who has seen the underwriting process from the inside knows it is a complex beast and, interestingly, still largely manual and based on fragmented data. How could AI agents fit into it, and how are they already doing so?
To stay up to date in the Artificial Intelligence solutions era, it's critical to become acquainted with the fundamental terms, concepts, and jargon that characterize this fast-developing discipline. This article will help you discover the foundational concepts of neural networks, deep learning, natural language processing, and beyond.
In the previous entry of the series, Bartek Antoniak shared his market-wide observations from the perspective of a professional software engineering and consulting firm. In the second article in the series, Peter Ratcliffe takes a deep dive into how AI has already reshaped the insurance industry, particularly the underwriting process.
Every morning, I scan Hacker News, newsletters, research, and weird corners of the web before preschool drop-off. I collect the gems that don’t make the headlines but teach useful lessons or spark technical ideas. Now I’m sharing them here. My rules are simple: no chasing every new model, no “top 50” lists, and no breathless marketing. Read on for this edition’s hand-picked stories and lessons. If that sounds like your kind of newsletter, welcome to issue two.
The Insurance industry needs modernization. Current accelerated digitization makes it hard for laggards to keep up. There is a clear efficiency gap that needs bridging. The market's connectivity is low-tech, hugely inefficient, and the market lacks the will to adapt to modern technology standards - particularly among traditional insurers that have expanded organically or through acquisitions.
As we go full-AI mode, we want to inspire fellow developers with all the cool projects and experiments our devs are running with AI tools and agents. This is why we are launching the new series: “This Month We AIed” initiated by the Scala expert and SoftwareMill co-founder, Adam Warski.
This first edition curates in-depth, hype-free AI insights for engineers, from the pitfalls of multi-agent systems to the rise of AI-powered browsers. Expect contrarian takes, practical engineering tips, and real-world case studies over fleeting trends.
GenAI and LLMs are distinct AI models, but have so many commonalities that some users struggle to tell them apart. To find the right application for them in a business environment, we will discuss the differences between the two.
The LLMs as we know them didn’t appear out of thin air. AI has roots dating back over 100 years, when early concepts like fuzzy logic emerged. Then came mathematical models that contributed to the development of neural networks. But will LLMs replace classic Machine Learning for good?
The Leaders in Logistics 2025 Summit gathers experts and individuals from the logistics industry, with a particular focus on senior parcel delivery & e-commerce professionals. VirtusLab is proud to announce that we are a bronze sponsor of this year’s edition. The 2025 Summit will take place on 12-13 March at the Estrel Berlin Hotel. Read more to find out what you can expect from this year’s edition.
In this article, we will take a look at 8 trends in frontend technologies, that we believe will become prominent in 2025. Read on to find out what frameworks, tools, and solutions your business should be paying more attention to in the coming months.
As business needs and market trends change, Hadoop and cloud data platforms will evolve together. Will Hadoop remain a data solution companies rely on?
