AI adoption continues to expand across the globe, with Gartner predicting that organizations over the next five years will "adopt cutting-edge techniques for smarter, reliable, responsible and environmentally sustainable artificial intelligence applications." And as the industry matures and machine learning (ML) models become cheaper, faster, and more accessible, every enterprise will be looking at how and where the technology may benefit their organization. Expectations are high, from driving productivity and efficiency gains to delivering new products and services. AI platforms are being enhanced by developments in related fields, including ML, computer vision, language, speech, recommendation engines, reinforcement learning, edge IT hardware, and robotics. However, with so much noise and hype around AI, it's tough for many businesses to figure out how to harness the technology effectively.

Artificial intelligence has hit the mainstream. Across industries, companies have rolled out successful proofs-of-concept and have even been successful in deploying AI in production. Some organizations have even operationalized their AI and machine learning strategies, with projects proliferating across the enterprise, complete with best practices and pipelines. Today, companies at the leading edge of the AI maturity curve are making use of AI at scale. This overall maturation of how AI is deployed in enterprises is shifting how companies view the strategic value of AI -- and where they hope to see its benefits realized. Here is a look at 10 AI enterprise strategy trends that industry experts are seeing unfolding today.

Artificial intelligence has hit the mainstream. Across industries, companies have rolled out successful proofs-of-concept and have even been successful in deploying AI in production. Some organizations have even operationalized their AI and machine learning strategies, with projects proliferating across the enterprise, complete with best practices and pipelines. Today, companies at the leading edge of the AI maturity curve are making use of AI at scale. This overall maturation of how AI is deployed in enterprises is shifting how companies view the strategic value of AI -- and where they hope to see its benefits realized. Here is a look at 10 AI enterprise strategy trends that industry experts are seeing unfolding today.

To gain an insight into the key trends reshaping with artificial intelligence, Digital Journal spoke with Anil Kaul, CEO of AI and analytics company, Absolutdata. Kaul explains that businesses need a reset in 2021 and sees a variety of new technologies making their way to the forefront because of this. Digital Journal: How damaging has 2020 been for businesses? Anil Kaul: Since the downturn was triggered by a pandemic, the damage has been uneven. The economic turmoil has been devastating for many small businesses, but even large, well established corporations have felt the impact in uneven ways. The travel and hospitality sectors were hard hit, and analysts say it might take years to recover.

Is there more to AI than automation and data processing? And now that some of the more basic functions of AI have matured, we're going to see a sharp increase in the sophistication of AI, as it becomes more and more human. The following is a brief look at where the enterprise is when it comes to AI, and where we're about to start heading. These are the enterprise AI trends making headlines. As I noted above, there are some basic functions of AI that most companies have already adopted, and that we as users can feel confident about when it comes to functionality.

Is there more to AI than automation and data processing? And now that some of the more basic functions of AI have matured, we're going to see a sharp increase in the sophistication of AI, as it becomes more and more human. The following is a brief look at where the enterprise is when it comes to AI, and where we're about to start heading. As I noted above, there are some basic functions of AI that most companies have already adopted, and that we as users can feel confident about when it comes to functionality. Those include things like personalization (personalizing ads, email messaging, auto-texts, etc.) and recommendations (such as those you see on apps like Spotify, Netflix, or in your Amazon shopping card), and other martech, which is now widely available aaS for just about any size enterprise.

Is there more to AI than automation and data processing? And now that some of the more basic functions of AI have matured, we're going to see a sharp increase in the sophistication of AI, as it becomes more and more human. The following is a brief look at where the enterprise is when it comes to AI, and where we're about to start heading. As I noted above, there are some basic functions of AI that most companies have already adopted, and that we as users can feel confident about when it comes to functionality. Those include things like personalization (personalizing ads, email messaging, auto-texts, etc.) and recommendations (such as those you see on apps like Spotify, Netflix, or in your Amazon shopping card), and other martech, which is now widely available aaS for just about any size enterprise.