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“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years,”
Coursera co-founder and Stanford University professor Andrew Ng famously said. He’s being proven right, with 86% of CEOs seeing artificial intelligence as a mainstream technology and over 90% of leading businesses investing in it on an ongoing basis.*
But what even is AI and how did it come to be? Will it ever turn into a Skynet type of situation or are Alexa and Siri the closest thing we’ll ever have to superintelligence? What are its benefits for industries and individuals? And what are its limitations – if any? We’ve gathered some deep dives from our blog to help you get your bearings, plus real-life applications from other corners of the web for inspiration.
This AI can analyse texts on the basis of various aspects as we learned in the grammar class at school.
See how you can make your company more efficient with Microsoft Copilot and other AI tools.
During the webinar, our experts demonstrate how MS Copilot can support the execution of specific tasks and help solve business challenges.
Discover the new opportunities AI can unlock, and how you can achieve long-term business value.
AI in Business Practice – Webinar | March 11, 2025
The goal of the webinar was to showcase enterprise applications of artificial intelligence, with a particular focus on Microsoft’s AI-powered business solutions.
The speakers provided a detailed overview of AI implementation methodologies, tools, and real-world case studies.
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The question is whether you can make good decisions.
By now, there is hardly an app or platform that isn’t trying to persuade you to use AI. Yet something curious is happening: not only are you using artificial intelligence, it is also beginning to shape how you think, ask questions, and search. According to Levente Szabados, lecturer at the
Eureka Moment: Automated Science – The Field with the Biggest Potential Impact Despite the Least Media Attention
Have you ever had one of those moments when everything suddenly clicked in your mind – a true eureka moment? Now imagine the same thing beginning to happen with an algorithm. Automated science is a research approach in which experiments are carried out with minimal human intervention. Robotics and artificial
Beyond the Pilot Phase: The Age of Agents and the New Blind Spots of Corporate AI Strategy
Beyond the Pilot Phase: The Age of Agents and the New Blind Spots of Corporate AI Strategy We are witnessing a clear step up in the enterprise adoption of artificial intelligence. The era of ad-hoc prompting and simple assistant features is over. Chatting with models has now taken a back
Agentic GenAI: Where We Are Going
Agentic GenAI: Where We Are Going The next frontier is outcome ownership: agents will be managed, measured, governed, and bought as work capacity. The near-future direction of agentic GenAI is a shift from software access to business outcomes. Bain’s advice to SaaS leaders – price for outcomes, not log-ons –
Agentic GenAI: Where We Are Now
Agentic GenAI: Where We Are Now The last six months have turned agents from impressive assistants into execution environments that can touch real systems. Over the last 3–6 months, agentic GenAI has crossed a practical threshold: the center of gravity is no longer “chat with a model,” but “delegate work
AI Projects: Why Most Fail and How to Succeed
In the ever-evolving landscape of technology, Generative AI stands as a beacon of innovation, promising to revolutionize industries by automating tasks and enhancing productivity. Yet, as with any groundbreaking technology, there are challenges and misconceptions. Recent discussions in Silicon Valley have raised concerns about an “AI bubble,” largely due to