Simplifies & Demystifies AI Based on 27 Years of Hands-on Data and AI Expertise

Jack Lampka is a renowned AI advisor and keynote speaker who specialises in making complex artificial intelligence topics accessible and actionable for businesses of all sizes. With nearly three decades of experience in the field, his most significant achievement is his pragmatic approach to AI, focusing on the human element in AI adoption to drive real business impact. He is known for his ability to demystify AI, making it understandable and relevant to both technical and non-technical audiences.

Jack's journey into the realm of AI began after obtaining his MBA from the University of Washington in Seattle and a Master of Science in Electrical Engineering from RWTH Aachen in Germany. His early career was marked by pivotal roles at high-tech companies like Tektronix and HP in the USA, where he honed his skills in data analytics and strategy. Later, he transitioned to the pharmaceutical industry with MSD in Germany, where he built and led analytics teams, developed comprehensive data strategies, and implemented AI solutions that significantly benefited the organisations he worked with. Additionally, he founded Pandoras Analytics, a consulting firm focused on predictive analytics, which helped small and medium businesses optimise their operations.

Throughout his career, Jack has garnered several achievements. He has been instrumental in accelerating AI adoption across various sectors by transforming data into actionable business insights. His efforts have earned him recognition for his ability to simplify data and AI concepts for non-technical executives, thereby fostering a culture of data literacy within organisations. Jack's success is reflected in the numerous testimonials from industry leaders who praise his clear, pragmatic views and his engaging presentation style.

Jack Lampka stands out as a keynote speaker due to his deep understanding of AI and data, his impressive track record of achievements, and his ability to communicate complex ideas in a clear and engaging manner. His key speaking topics include improving AI acceptance within organisations, building effective data teams, and fostering a data-driven mindset among employees. His focus on the human aspects of AI adoption ensures that his presentations are not just informative but also transformative, providing audiences with practical strategies to enhance their AI initiatives and drive business success. Jack's ability to speak both English and German, coupled with his availability for both in-person and virtual events worldwide, makes him a versatile and highly sought-after speaker in the field of AI and data.

How to hire Jack Lampka

Contact the Champions Speakers Agency to provisionally enquire about hiring Jack Lampka for your next event, today. To get in touch, simply call an official booking agent on 0207 1010 553 or email us at [email protected] for more information.

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Jack Lampka's official speaker topics are listed below:

How to Improve Acceptance of AI in Your Organisation?: 70% of AI projects fail. Why? Could it be that the “people” aspect is being ignored, including people creating AI products for internal customers? Data storytelling and the proven marketing framework of 5 Ps of product marketing are beneficial to internally market AI products, addressing the 5 Ps: product, price, place, promotion, and people … all of those elements essential for acceptance of AI in any organisation.
Key takeaways: (1) People are the biggest driver of AI adoption, (2) This includes people developing AI solutions, (3) Data storytelling & 5 Ps of product marketing enable data teams to market their products
How to Grow Data Mindset Among Non-Technical Employees?: Every successful data-driven organisation needs data-minded employees, especially those in non-technical functions. A data & AI literacy program is essential to reach the desired data & AI mindset among non-technical employees … as long as this program is built bottom-up based on the current mindset level. Only then you will have a chance that all employees will embrace data & AI.
Key takeaways: (1) People are the biggest driver of AI adoption, (2) Data mindset among users will make or break your success with AI, (3) You need to answer this question for everyone: “What’s in it for me?”
What Does it Take to Develop Data & AI Strategy?: What is data strategy? Is it about building a data lake, hiring AI consultants, or training employees to use dashboards? Or is it about defining a plan for the organisation to become data-driven and using data & AI for business decisions? This talk will define what strategy is and - using pragmatic examples - will describe the required building blocks of a successful data & AI strategy.
Key takeaways: (1) Data strategy is a plan defining how to achieve your data & AI goals, (2) You must choose what not to do, (3) Always start with business needs
Why Do You Need a Data Village to Improve AI Adoption?: Many companies who are facing AI & big data for the first time are thinking that hiring data scientists will do the trick and make them become a successful data-driven company. It won't. It takes a data village, also known as the data analytics value chain, to build efficient & effective data products, and to attract & retain talent. These data villages are crucial for developing useful and accepted AI solutions.
Key takeaways: (1) It’s not only data scientists you need to successfully implement AI, (2) Required skill sets differ from AI product to AI product and evolve over time, (3) Don’t forget AI product marketing
What is AI?...No, Really, What Is It?: Is artificial intelligence all about ChatGPT? Or Arnold Schwarzenegger’s Terminator? Or that navigation app you have been using for almost twenty years? There is a lot of hype about AI today and even more FOMO (fear of missing out). In this talk, AI - including the new kid on the block, GenAI - will be demystified with a little history of how we got here, what AI is good for for companies and people, and what are its limitations.
Key takeaways: (1) AI is less complicated than many would like you to believe, (2) Most AI solutions improve efficiency, (3) AI will not replace people, people using AI will replace people who don’t

Official Feedback from In-Person & Virtual Events

Feedback from In-Person Events:

“Mr. Jack Lampka was invited repeatedly on several occasions as a speaker and panel discussion leader to our AI and Data Analytics summits as his expertise in the field and his skills in presenting and engaging audiences have been unique. Always happy to have Jack with us at our events.” - Iva, Conference Producer, BERRY Professionals

“Jack’s talk was eye-opening and for me the best talk of the whole conference. Getting AI products adopted by employees is really hard to achieve. However, Jack distills the solution to one central question, gives orientation, and provides best practice examples.” - Julia, Owner, DATA Story LAB

“Jack impresses with his clear, pragmatic views and ability to consistently hit the mark. His likable and inspiring demeanor makes each of his presentations a standout experience.” - Kai-Uwe, CEO, BI or DIE

“Actionable insights paired with an entertaining delivery. Jack’s keynote made the conference for me.” - Christopher, Head of Data Solutions & AI, Procon IT

“Your presentation was well delivered. I felt like you were talking directly with me.” - CDO, Biotech