The State of AI in 2022

The State of AI in 2022

Introduction

Artificial Intelligence (AI) has been on the next great digital frontier list for some time. However, what was once thought of as a niche or a fringe technology is now a part of our daily lives. Today, AI is being integrated across enterprises, instead of being kept aside for special projects only. As Machine Learning and AI evolve (they are evolving fast), enterprises need to continually assess how to remain competitive while offering better business outcomes. Many businesses have already begun their journey on this path. According to Gartner, by 2025, one in five B2B organizations will leverage ML and AI to connect to their buyers.

Predictions for 2022

In this blog, let us look at The State of AI in 2022, the most essential Artificial Intelligence trends for digital transformation in 2022.

Businesses adopt digital transformation to enhance their operational activities, such as enhancing performance, giving differentiated service, and increasing their reach. Real-world systems are utilizing Artificial Intelligence methods in a broad range of industries. To add value to a product, one needs to use digital transformation with AI. It helps in identifying information, thus helping the professionals involved in various stages of the process, such as design, implementation, and delivery.

One more point we should consider is that organizations are failing to realize that they will need AI to be future-proof, specifically in such a volatile environment. Following are the key findings by Peak, a leader in Decision Intelligence (DI):

• Opportunity Slips in Data Strategy: Many organizations are investing in data and AI without understanding the connection between them. This will result in an expensive infrastructure reinstallation in the future, which is a competitive disadvantage.
• Organizations intend to implement a data strategy, yet only 35% of those say it comprises plans to facilitate AI.
• Leadership Disconnect Over AI Perceptions: There is no clarity around AI intentions amongst the leadership. This could lead to further challenges in the adoption of AI. CEOs are more confident about their organization’s AI strategy than the rest of their executive team.
• Regional Differences: India is far more advanced in comparison to US and UK when it comes to the progress being made in data maturity, digital transformation, and AI adoption. India is the most digitally ready country, with 52% of decision-makers recognizing high levels of digital transformation. This number is much more as compared to a mere 36% in both the US and UK.

Adopting Responsible AI

Despite some e fears about AI replacing humans completely, the most successful AI comes from a partnership between machines and people. AI needs human-derived ethical frameworks to engage appropriately and empathetically with customers. So, what happens when AI and organizations using it do not have ethical standards in place? That can be tough for both consumers and businesses. However, the good news is that many of the top companies working with AI are dedicated to doing the right thing with AI. These organizations are developing diverse tools and data sets to help counter common challenges with AI-like bias. Some also have whole teams dedicated to responsible AI applications. The more organizations that take up this challenge and invest in responsible AI, the better AI will be in the future.