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Based on Insights from the book: Executive AI Handbook
This Scorecard is based on our Insights and Research in writing the book Executive AI Handbook on the topic of AI Strategy.
The world is changing at an exponential rate and the global pandemic in 2020 accelerated digital transformation and need for automation, data analytics and predictive algorithms within many different industries. Applications, and more importantly, acceptance of AI dramatically increased over the last few years.
This now puts increased pressure on business leaders to start the adoption of AI within their own companies or risk the advantage going to their competitors. The pressure is not only coming from competitors, but client expectations are increasing as they see what is possible with these cutting-edge technologies.
But the technology landscape for AI is complex, full of different vendors, platforms, tools, applications and frameworks, hundreds, and hundreds of alternatives and options, with more new capabilities being developed every month. How does any business leader keep up to date and able to make informed decisions on what to use. This can often lead to inertia, with many unable to prioritise AI adoption due to the fear of the unknown.
