Category: Blog
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Enterprise Knowledge Assistants: Four Levels and When to Use Them
LLM chatbots are great at creating knowledge. We have probably all tried asking ChatGPT, Gemini or Claude something and receiving a non-trivial answer that completely answers our questions in a profound way. But these answers are always about general knowledge like “what are the trends in modern moral philosophy?”, not specific questions related to our…
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(AI) Winter’s coming
The future of AI is specialized artificial intelligence (ANI) not general intelligence (AGI) or Superintelligence (ASI); that is the stuff of myth and fantasy. Intelligence was never a general ability. Not even in humans. So, let’s forget all about any kind of general intelligence and let’s also forget about any substantially human kind of intelligence.…
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Here come the AImateurs
Across the globe is a push for someone, anyone, everyone to start using AI for something, anything, everything. Companies are educating all employees in how to build their own applications and solutions with AI. Performance goals around AI are mandatory. It is as if there is an expectation that with AI anyone can and will…
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Augmentation rather than automation – the quest for AI value
While we are waiting (or fearing) for completely autonomous systems to do all our work, a more feasible approach is appearing that focuses on augmentation rather than automation. One type of usage gaining ground in organizations’ around the world is the knowledge agent. A knowledge agent is an agentic system focused on a specific domain…
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The Unbearable Weight of Massive Intelligence
“We are all going to lose our jobs and AI will make humans extinct.” Such are frequent, admittedly carricatured, prognostications by computer science PhDs, professors, Tech CEOs and even Nobel prize winners. These are perceived, rightfully, as some of the most intelligent people in the world. But as much as they know about technology, science…
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The Hammer and the Hydra – Why Software isn’t the Product
The whole SaaSpocalypse narrative is based on the assumption that AI can just build whatever application you need and replace existing enterprise Software as a Service applications. That implies applications are just the code deployed on a server. It is a reasonable assumption but it is wrong. To be clear applications depend on code deployed…
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AI heralds the return of monolithic architectures
We know the mainframe as a relic from the past frequently tended too by long retired pensioners. The personification of obsolete technologies forever confined to the museum of rarities. Aside from the fact that the mainframe is still the most efficient hardware for what it was designed to do, ultra reliable, hig volume transaction processing,…
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Enterprise Architecture is the operating system of Agentic AI
At this point many companies are trying to move from the initial Task Assistant style of AI usage to the Knowledge Agent and Business Problem Solver style (see the report Nordic AI archetypes, which distinguishes four archetypes of AI usage in Nordic organisations). Whereas, the Task assistant is simple to roll out since you just…
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The boundary of AIs exponential growth
Adoption of AI is slow. It is slower than expected and the documented productivity gains are negligible, spawning fears of an AI bubble or at least that we have passed the peak of inflated expectations. While others might see cause for concern, tech optimists (and especially tech investors) view these developments differently. For them, this…
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Is agentic AI really disrupting Softwarre as a Service?
Recent stock movements away from Software as a Service stocks has been interpreted as a result of the fear that pureplay generative AI companies like Anthropic and OpenAI would disrupt companies like SalesForce, SAP and ServiceNow which form the bedrock of companies’ CRM, Finance and support functions. This echoes a frequent perception by Investors, purportedly…