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Christian Prokopp

AI Adviser | CTO, CDO, CAO | Strategy, Technology, Architecture, Platform, Organisational Structure | ML, LLM, RAG, Fine Tuning, BI, Analytics, BPMN

Christian Prokopp is a seasoned technology professional with a passion for translating business goals into executable technology strategies. With a PhD in software engineering, cloud computing, data engineering, devops, architecture, and data science, Christian brings a wealth of experience to any team. He has an exceptional track record in data and analytics, with comprehensive experience in ML and AI, combining data engineering, business intelligence, and data science. He has worked in both start-ups and large global enterprises, with the unique distinction of helping two start-ups exit to Google and Teradata. Christian is a talented communicator, with experience in writing white papers, presenting in front of large crowds, and negotiating with customers and suppliers, while engaging both engineers and CXOs with ease.

As Director of Data and Analytics at Holland & Barrett and former Founder and Principal at Bold Data Ltd., Christian has become an expert in data and analytics, strategy and architecture, data science, business intelligence, cloud computing, and management. With a quick learning skill set and unstoppable curiosity, Christian is always eager to take on novel and challenging work in a pragmatic manner, always with business outcomes and integrity as the focus. His professional experience enriches the lives of those with whom he works, and with a sense of humor to boot, Christian is a real asset to any team.

Highlights

Aug 9 · linkedin

A year ago I parked a LLM agent project because of the API cost being ~100x too high. Today, it probably would be feasible.

We have a price war between Gemini, ChatGPT and others. Gemini 1.5 Flash just announced a price cut to USD 0.075 per million input tokens. That is mind-blowing to where we were merely a year ago both in context window size, execution speed, choice of options and importantly price.

I expected this development - a few years down the line - but once again the velocity of the tech sector when large names throw resources behind a problem is staggering.

Aug 9 · linkedin

Structured Outputs (and the ability to use complex pydantic) are a bigger deal than might be obvious. This starts to turn the OpenAI API (and hopefully other LLMs soon too) into a general purpose API. We are moving closer to a world where you define an API and give it a prompt (description) and magically have the functionality. Of course, lots of caveats and limitations apply but the direction of travel is very interesting.

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Christian Prokopp
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Location

London Area, United Kingdom