Top AI business trends in 2022
As headwinds like the pandemic and supply chain crisis continue, companies will look to leverage artificial intelligence (AI) to further fuel the digital advantage that can increase competitiveness, increase efficiency. efficiency and generate new sources of income.
With that, IBM recently unveiled the top five AI predictions for 2022, where AI will address: customer service, sustainability, the potential of 5G, IT issues, and security.
Offer 5G with AI
5G connectivity has enormous potential to advance industries ranging from streaming and communications to advanced robotics and manufacturing.
5G is the interplay of two inexorable forces: the increase in highly reliable, high-bandwidth communications, and the rapid spread of available computing power across the network. The complexity of today’s telecommunications networks and the speed of change have made the management and control of infrastructure extremely difficult. It is clear that the tools, systems and methods of managing today’s networks are simply not suitable for the network of tomorrow.
To advance the deployment of 5G connectivity around the world, communications service providers are turning to AI-powered network automation and orchestration to improve the control and management of networking to deliver faster customer experiences. Innovations such as network slicing allow companies to define service levels for each device appropriate to their use of the network. For example, an autonomous vehicle could be supported with very low latency, while a high definition video camera could be allocated high bandwidth.
AI to become more personal
Virtual assistants have become an essential tool for large organizations and governments during the pandemic. Not only were virtual assistants a critical avenue for information dissemination, but we also began to see an integration of automation that allowed virtual assistants to perform workflows and tasks like, for example, taking an appointment for a vaccine.
In 2022, consumers would notice more personalized and fully realized interactions with their preferred retailers and service providers as AI assumes a greater impact on the customer service journey. One of the reasons for the explosion of personalization? Better access to more complete data as businesses and governments look to Data Fabric architectures to help them leverage their data like never before.
AI creates a sustainable future
Consumers, regulators and shareholders are putting increased pressure on companies to make tangible sustainability gains. Climate change and extreme weather events are also straining supply chains and business operations. As these pressures continue to grow in 2022, AI will play a key role in helping companies meet sustainability criteria through better measurement, data collection and carbon accounting, as well as improved productivity and accountability. greater resilience of the supply chain.
The most recent IBM CIO study found that 42% of CIOs surveyed expect AI and other advanced technologies to have a significant impact on sustainability over the next three years, the highest of all. the areas of impact studied. Predictive maintenance that reduces the need to replace parts and equipment, AI that analyzes satellite imagery of storms and wildfires, and more would play a critical role in preparing businesses and organizations for increase in adverse weather events.
Companies would also focus their attention on mitigating further supply chain disruptions by investing in AI-based automation to make the underlying systems that run commerce faster and more efficient. Using machine-generated data from sensors, RFID tags, counters, actuators, global positioning system and more, inventory would count itself, containers would detect their contents and pallets. would report if they ended up in the wrong place.
AI to predict computer problems
As stewards of an organization’s digital infrastructure, CIOs in 2021 have been tasked with moving their workforce remotely, handling new types of security issues as a result, and making sense of the data explosion. produced by modern applications, surveillance solutions and the increased use of digital channels. by employees and consumers.
Not only have these conditions created a ‘pressure cooker’ for companies interested in adopting automation technologies, but they have also heightened interest in becoming more proactive, in turn increasing interest in the application. of AI to better predict information technology (IT) issues, which has led to an area called AIOps.
AIOps enables IT teams in an organization to proactively manage complex work environments, saving hundreds of thousands of dollars that could have been wasted. In 2022, AIOps would enable IT teams to quickly and confidently diagnose problems faster than they could manually, freeing them from laborious and time-consuming tasks to focus on delivering higher value-added work for the organization. AIOps would also allow these IT teams to identify data patterns that could ultimately indicate that a potential problem could arise, anticipating IT problems before they occur.
Focus on security
Finally, for AI to continue to advance in these areas, businesses and organizations must move forward and earn the trust of consumers.
The battle for consumer confidence unfolds on multiple fronts, from the ability to make understandable and explainable AI decisions to providing consumers with the assurance that their personal data is protected from cyber attacks. As businesses and governments continue to invest in cybersecurity, AI would play an even more crucial role in helping identify and respond to threats more effectively, as they move towards a ‘zero trust’ approach to reducing more risks.