Creating an AI-driven organization

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By Semih Kumluk | Jun 21, 2022

Image courtesy of and under license from Shutterstock.com

Many companies recognize the importance of AI to their businesses, but often cannot deploy it in a successful strategy. To get the most from data, firms need leaders savvy in AI and data analysis to make more flexible and adaptable hierarchies and invest in their greatest assets - employees - equipping them with the tools and motivation to upskill and thrive in the digital age.

DUBAI - People use and benefit from Artificial Intelligence (AI) many times in their daily lives without even knowing it.

Navigation that finds the best route while driving, photo tagging suggestions on social media platforms, speaking with virtual assistants, doing online searches, using online translators, using facial recognition to unlock phones, getting e-commerce product suggestions, and streaming what to watch recommendations, to name a few, all use some AI techniques in the background.

It is well-known that the big American tech companies, Google, Amazon, Facebook, Apple, Netflix, and Microsoft (some call them GAFANM for short), are the providers of these daily AI use cases. Now, the time has come for other businesses to embrace AI and become AI-driven organizations.

AI is expected to contribute USD15.7 trillion to the global economy by 2030, almost equal to the current output of China and India combined. This contribution will largely come from labor productivity, personalization, time saved, and quality.¹Organizations have the potential to get the most out of this contribution when they set their strategies early, prepare their roadmaps, and start reaping the benefits of AI.

Set strategy at the top

The term artificial intelligence was coined in 1956, and it has been used in classic movies like Terminator and The Matrix telling catastrophic stories.²AI has also been tested against humans in recent years, such as IBM’s Deep Blue playing chess against Garry Kasparov in 1997, and it has only been within the past few years that businesses have started investigating AI. There are two main reasons that have enabled AI to achieve much more advanced use cases.

AI researchers discovered that graphics cards that are good enough to analyze high volumes of image

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