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Michał Jankowski

About Michał Jankowski

Microsoft MVP Azure, an architect, designer, team leader and trainer. He began programming in the early ’90s from Basic and Assembler for 8-bit computers. During most of his career, he was delivering .NET platform targeted application for the world’s largest companies. Currently, he is specialising in the development of web applications and Azure environment. A great enthusiast of software craftsmanship, unit testing, software design and other topics related to software development. In his free time, when he is not playing with the code, he likes travelling, photography and writing a technical blog.

Four signals that quietly changed the AI landscape this month

The last month brought several AI announcements that look unrelated on the surface. Music, smartphones, chatbots, and video. Together, they point to a deeper shift: AI is no longer experimental. It is becoming infrastructure. First, The Eleven Album marked a turning point for generative creativity. A full, studio-quality album was released using AI as a creative partner, not a replacement. Artists stayed in control of authorship and rights. The real signal is not the music itself, but the model it introduces: permission-based creation paired with built-in licensing. This is how creative AI scales without breaking the industry that feeds it. [...]

AI Is forcing a new Buy vs Build decision in enterprise software

Better AI models have changed how I use software. The interesting part is not the tools themselves, but the decision logic behind them. Features I used to pay for are now solved by general-purpose models. Grammar fixes, image editing, research, and simple analytics can often be done faster and cheaper without dedicated SaaS tools. This matters because most SaaS products still sell features, not outcomes. When a feature can be replicated with an LLM in hours, its standalone value collapses, especially during renewal cycles. That is when finance asks a simple question: what business outcome justifies this subscription? I see [...]

By |2026-01-27T12:45:23+01:0027 January 2026 |Categories: AI, Business strategy|Tags: , , |0 Comments

AI’s Platform Reset: Three January Signals That Will Define the Next 12 Months (Jan 27, 2026)

Apple Just Stopped Building Its Own AI Foundation. Your Vendor Map Changed. Apple and Google entered a multi-year collaboration under which the next generation of Apple Foundation Models will be based on Google's Gemini models and cloud technology. The partnership is not exclusive, Apple still works with OpenAI, and Apple Intelligence will continue to run on-device and through Private Cloud Compute. Previous reports put Apple's annual payment at around $1 billion. The split Apple chose is the right one: borrow the best model, run it on infrastructure you own. The failure I see most often is the inversion: proprietary models, [...]

By |2026-03-26T21:58:33+01:0027 January 2026 |Categories: AI Signals|Tags: , |0 Comments

Goose, MCP, and AGENTS.md: The emerging foundation of Agentic AI

Most leaders track Anthropic’s MCP and OpenAI’s AGENTS.md. Very few have noticed Block’s goose framework. I hadn’t either. And I’ve been working with AI systems for years. Goose was released in early 2025. It is an open-source, local-first agent framework. At first glance, it looks like “just another agent framework.” It isn’t. Goose combines language models, extensible tools, and standardized MCP-based integration into a single execution environment. What matters is the intent behind it. This is not about clever prompts or impressive demos. It is about structure, reliability, and control. In other words: how agentic systems behave when they are [...]

By |2026-01-21T13:40:19+01:0021 January 2026 |Categories: AI|Tags: , |0 Comments

Your Agent Has Admin Access. Nobody Asked For That. (Jan 14, 2026)

The first agentic security standard just dropped. Most deployments already fail it. OWASP published in December 2025 the world's first Top 10 for Agentic Applications, peer-reviewed by over 100 security experts. According to a Dark Reading survey, 48% of cybersecurity professionals name agentic AI the top attack vector for 2026 — yet only 34% of enterprises have AI-specific security controls in place. In enterprise agentic deployments, the most dangerous failure modes are not external attacks. They are gradual privilege escalation from inside. One question consistently separates controlled deployments from high-risk ones: does the agent have its own isolated managed identity, [...]

By |2026-03-17T09:20:05+01:0014 January 2026 |Categories: AI|Tags: , |0 Comments

Why you should include Quantum Computing in your data strategy

Quantum computing still sounds like a technology of the future. Is the hype real? Can we already start using it? Over a year ago, I was met with a similar reaction when I introduced the idea of extending our services with quantum computing. During that year, we managed to verify this technology in action. We conducted multiple calls with quantum vendors and our clients. One of our customers already validated that quantum is capable of producing value for their businesses, thanks to a Proof of Concept we delivered. Today, I want to encourage you to consider including quantum computing technology in [...]

By |2024-12-15T22:27:26+01:0015 December 2024 |Categories: Quantum computing|Tags: |0 Comments

FinOps Implementation — Fast-Track to the Benefits

Do you still remember how much time and how many approvals you needed to order new hardware for your organisation 10 years ago? The entire process was managed, in many cases, by a single person working in procurement. Today, the cloud is a natural choice for hosting your solutions. Every developer can now order a new cloud service on behalf of the organisation. These actions often happen without any approval processes. For the enterprise, it means that it is harder to predict and control their cloud infrastructure spending and manage their cloud costs. FinOps was introduced as a way for companies to [...]

By |2024-12-16T16:58:55+01:0016 November 2024 |Categories: Cloud|Tags: , |0 Comments

Building a Quantum Computing application in 2 Days — Travel Optimisation – How to validate technology?

A team built a quantum-powered app in two days to optimize a CEO's travel plans, balancing time, cost, and CO2 emissions. Using D-Wave’s tech and Streamlit, they demonstrated how quantum computing can solve complex scheduling problems, with applications in logistics and healthcare.

Onboarding Quantum Computing in Your Organisation — a Technical Perspective

Quantum computers are expected to revolutionise industry across all sectors. They promise to solve problems that are currently impossible or impractical to handle using conventional methods. While the real-life use cases of quantum computing are still relatively scarce, early adopters are already leveraging this technology to generate business value. Myself, I had an opportunity to work on such a project for one of our clients. Has this technology shown up on your radar? Have you considered adopting it in your organisation? Is this a good time to start planning your first steps? In this article, I want to share three [...]

By |2024-12-15T21:57:49+01:0015 May 2024 |Categories: Quantum computing|Tags: |3 Comments

Web Summit 2023 Lisbon: Key Findings

This year, I marked my second participation in the Web Summit and my first in-person experience. My initial encounter in 2020 was virtual. Being there physically offered a distinctly different experience. The Scale of the Event The event’s magnitude was astounding, with over 70,000 attendees, 2,600 startups, 900 investors, and representatives of 30 countries. In Lisbon, every corner buzzed with Web Summit participants. For comparison, I grew up in a city with fewer than 60,000 residents. AI Adoption: The Central Theme Unsurprisingly, AI was the focal point. Discussions covered implementation areas like marketing, healthcare, retail, gaming, sustainability and more; challenges [...]

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