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“Digitale Wissenbissen": These 3 stumbling blocks trip up software projects
75% of all software projects fail – not due to technical issues, but because of organizational pitfalls. This episode reveals the three most common traps and provides concrete solutions on how better structures and risk-driven approaches lead projects to success.
“Digitale Wissenbissen": Will AI die of inbreeding?
Originality, creativity - these concepts are part of what makes us human. Can AI - which is becoming more and more human-like - also be creative and original? What does it mean for us if we let AI do the writing for us? In this episode, we touch on a few more philosophical questions that we believe are still unanswered and perhaps too rarely asked.
“Digitale Wissenbissen": Generative AI agents - One job, one bot
In this episode, we delve deep into the world of Agentic AI and explore whether specialized AI agents can revolutionize business processes by handling complex tasks autonomously and efficiently.
"Digitale Wissensbissen": The future of data analysis – A conversation with Christian Schömmer
Data Warehouse, Data Lake, Data Lakehouse - the terms are constantly escalating. But what do I really need for which purpose? Is my old (and expensive) database sufficient or would a “Data Lakehouse” really help my business? Especially in combination with Generative AI, the possibilities are as diverse as they are confusing. Together with Christian Schömmer, we sit down in front of the data house by the lake and get to the bottom of it.
"Digitale Wissensbissen": Generative AI in Business-Critical Processes
After the somewhat critical view of generative AI in the last episode, this time we are looking at the specific application: can generative AI already be integrated into business processes and, if so, how exactly does it work? It turns out that if you follow two or three basic rules, most of the problems fade into the background and the cool possibilities of generative AI can be exploited with relatively little risk. We discuss in detail how we built a compliance application that maximizes the benefits of large language models without sacrificing human control and accountability. (Episode in German)