As AI being associated with many promises, our expectations are high. It is thought to make processes faster and more accurate – translating into more efficiency and return on investment. Thinking big is, however, never bad. But it is important to stay realistic, get the basics right, and start small.

First and foremost, we must not to forget, AI is not something that we “plug in and play”. AI is also not a goal. It is a tool. A tool that can highly contribute to achieving a goal.

So with that on board, how do we “play the game of AI”? How do we build a strong foundation for a functioning AI Centre of Excellence, and based on that, scale AI projects into production successfully? There are many questions to be addressed around expectations, goals, prerequisites of data, technology, skills and talents, processes, leaders, and choice of use cases. With our business world becoming ever more competitive and clients are becoming increasingly demanding, these are only some of the questions needed to be addressed. So let’s look at some of the above-mentioned ones.

AI literacy. Leaders, SMEs, analysts, developers and engineers need to be reskilled and upskilled to create an AI-ready mindset. There is a need to build an AI-literate cross-functional critical mass.

Data. Its accessibility and quality. Is our data AI-ready? Can we make it AI-ready?

Trust. How do we build trust in AI? How do we make it explainable, transparent, inclusive, and ethical – all at the same time? Leaders need to do a lot in this sense. They need to create clarity across their organizations by establishing principles for the responsible design and use of AI. Leaders need to monitor cognitive and unconscious bias and design with privacy, fairness, trust and transparency.

Time. We cannot have a short-term view when AI is a long-term endeavour. Short-term perspective only increases technical debt. Technical debt equals mission debt. With enough time, you allow experience to build your AI literacy. With enough time, daily AI lessons give way to long-term growth in an AI-powered organization. With enough time, AI wins move data to the center of your organization.

All in all, defining the goal, managing expectations, developing technical infrastructure, while also taking ethical aspects into consideration are only some of the most fundamental components of entrenching AI in an organization. To ensure that all aspects are covered, we gather some of the best AI leaders and experts together from across industries and disciplinaries.

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Event Overview

2’000+ Attendees, 21 Speakers, 3 Hours

Date & Time

Thursday, 4 March 2021
16:00 – 19:00 CEST
10:00 – 13:00 EDT 


Virtual Conference


All sessions are held in English


By invitation and publicly available registration links


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Article Credits

This article has been based on the original contribution of Brian Keith, Microsoft Federal Azure Data and AI Leader at


CognitiveVirtuals are regular worldwide-reaching online events bringing dozens of global AI leaders and experts together to share their views, experiences and expertise in the development of AI to the benefit of business and society. These 3 hour-long events are transparently addressing the development of cognitive technologies – including successes and challenges – while reaching and connecting a global online community of over ½ million followers.

All the sessions and formats are strictly content-driven with a non-sales approach, allowing focused and open discussions with no BS just content. These events provide not only a platform to brainstorm and network but also to position experts, leaders, organisation, research developments, the current status and future outlook of AI.