AI Strategy for Business Growth
is the sister publication of the book “AI Strategy for Business Leaders”. Tailored to the specific needs of small and medium-size business owners. This book will help you navigate these challenges, so you feel more comfortable starting the AI adoption journey. If you are an Entrepreneur or SME Owner, this is the right version of the AI Strategy book for you – focused on the opportunities that small businesses can leverage AI tools and application to make their company more efficient and productive.
Innovation at the Speed of Thought
The landscape is changing, faster than we have ever seen before. We are all having to adapt to this dynamic environment. This is challenging for companies who have previously done business the same way for decades. Embracing the digital native world will be too difficult for some and they will ultimately fail.
We discovered electricity in the 1700s, but it has taken us 200 years to truly master the application of electricity. Artificial Intelligence was first conceived in 1950s, and the technology is still very much in its infancy. Give the exponential acceleration of technology advancement as defined by the world economic forum as the 4th industrial revolution, it becomes almost impossible for us to imagine what our world will look like in 30 or 40 years from now. But what is clear, is that the financial industry, being the cornerstone of our economic prosperity, will continue to be a key driving force of adoption of the most advanced technologies we develop.
All industries will undoubtedly change dramatically in the coming years, and while it will be empowered by the capabilities being created by the thousands of AI researchers and developers working around the world, it will be focused on the customer experience required by the younger generations of customers who are by default digital natives and have very different requirements to previous generations of customers.
It will be very interesting to see how the industry reacts to this changing landscape, who the winners and losers will be in this new competitive environment is now difficult to see.
Overview & Preview
13 Chapters
137 Pages
The world is changing at an exponential rate and the global pandemic in 2020 accelerated digital transformation and the need for automation, data analytics and predictive algorithms within many different industries. Applications, and more importantly, the general 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?
This can often lead to inertia, with many unable to prioritise AI adoption due to the fear of the unknown and the fear of failure.
This book will help you navigate these challenges, so you feel more comfortable starting the AI adoption journey.
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