Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Enterprises continued to accelerate the adoption of AI and machine learning to solve product and business challenges and improve revenues in 2021. Meanwhile, AI startups have experienced significant growth, roping in major investments to improve their product offerings and meet the growing demand for AI solutions across sectors. In fact, data from CB Insights Research shows that while the number of equity funding deals in the global AI space this year is just slightly less than the last (2,384 deals in 2021 versus 2,450 in 2020), the amount of capital invested has almost doubled to $68 billion.

If 2021 was the breakthrough year for mRNA vaccines, then 2022 may be the breakthrough year for artificial intelligence. So far there have been major advances in text generation and image generation, and now investor Nat Friedman is predicting big developments in AI personal voice assistants. More innovation will surely follow. With so much in the works, it is worth reviewing some basic principles of how AI is likely to affect the US and global economies. First, more AI does not necessarily mean fewer jobs.

If 2021 was the breakthrough year for mRNA vaccines, then 2022 may be the breakthrough year for artificial intelligence. So far there have been major advances in text generation and image generation, and now investor Nat Friedman is predicting big developments in AI personal voice assistants. More innovation will surely follow. With so much in the works, it is worth reviewing some basic principles of how AI is likely to affect the US and global economies.

Enterprises continued to accelerate the adoption of AI and machine learning to solve product and business challenges and improve revenues in 2021. Meanwhile, AI startups have experienced significant growth, roping in major investments to improve their product offerings and meet the growing demand for AI solutions across sectors. In fact, data from CB Insights Research shows that while the number of equity funding deals in the global AI space this year is just slightly less than the last (2,384 deals in 2021 versus 2,450 in 2020), the amount of capital invested has almost doubled to $68 billion. As we head into 2022, here's a quick look back at the milestones that shaped the AI space over the past 12 months. To start the year, OpenAI announced DALL-E, a multimodal AI system that generated images from text.

This year is shaping up to be transitional in IT, and experts are pointing to one technology in particular that's expected to play a potentially revolutionary role: Artificial intelligence. Some areas where AI will have an impact are extensions of previous trends, but some new technologies stand to make previously unanticipated changes. Here are a few ways AI will shape 2018 for businesses. As computer hardware and networking equipment become more complicated, software is catching up to ease the burden of managing it. Virtualization is the norm in many businesses, and AI is playing a valuable role in adopting new equipment in a seamless manner. Cloud-based operations often rely on provisioning virtual hardware in response to changing demand, and AI is at the core of making these decisions.

According to Deloitte's Technology, Media and Telecommunications (TMT) predictions, more than 300m smartphones – or more than one-fifth of phones sold globally in 2017 – will come with machine learning capabilities. But in addition to smartphones, other mobile devices will be able to perform machine learning tasks even without connectivity. Machine learning capabilities are forecast to arrive in tens of millions of drones, tablets, cars, VR or AR devices, medical tools, internet of things (IoT) devices and unforeseen new technologies. "Machine learning is fascinating as it will revolutionise how we conduct simple tasks like translating content, but it also has major security and health consequences that can improve societies around the world," said Richard Howard, TMT partner at Deloitte Ireland. "For example, mobile machine learning is a strong entry point to improve responses to disaster relief, help save lives with autonomous vehicles and even turn the tide against the growing wave of cyberattacks."