Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Gift Ideas For Everyone On Your List Mashable @Home In My Bag Safety Net Versus Trending Now Say More Creator Playbook Mashable Selects Getting Technical with Mashable All Series'Avatar: Seven Havens' finale: Pavi goes on the run in this exclusive clip Belen Edwards is an Entertainment Reporter at Mashable. She covers movies and TV with a focus on fantasy and science fiction, adaptations, animation, and more nerdy goodness. She is a member of the Critics Choice Association and the Television Critics Association, as well as a Tomatometer-approved critic. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

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Dr. Nisha Talagala is a world-renowned computer scientist and an expert in Artificial Intelligence and Machine Learning. The inspiration to write this book started with her experiences sharing the power of AI technology with her then 9 year old daughter. She found that there were not many resources available for kids to learn and interact with AIs in a way that is engaging and not intimidating. She found that, with the right tools and approach, kids can learn AI, become empowered, and create amazing innovations. Just like computer science and coding is an integral part of learning today, AI is required learning for all the professionals of tomorrow.

Businesses across the world are hiring data scientists to beef up their efficiency and competitiveness via artificial intelligence (AI). Startup companies (dubbed AI-First companies) are disrupting traditional industries like banking, insurance, real estate and healthcare using AI technologies. The demand for data scientists far exceeds supply. And, the problem is exacerbated by the fact that the data scientist profession is itself splitting into multiple sub-disciplines. Regardless of which of these skill-sets are needed, businesses face a common problem when trying to monetize successful AI experiments.