This technology has enormous potential to improve people’s lives through improved and more reliable access to goods, services and information.
By Andrés Maldonado *
Around the world, the pace of digital transformation is accelerating rapidly. In some areas such as e-commerce, organizations experienced the equivalent of 10 years of growth in less than a year. In fact, almost half of companies (43%) in Latin America accelerated the deployment of artificial intelligence (AI) during the last year, according to the recent Global AI Adoption Index from IBM, as organizations turned to virtual assistants to manage increasing call volumes and other similar avenues to automation. According to the same survey, 80% of companies in the world said they had plans to implement some form of automation software during the next 12 months.
In 2022, as headwinds such as the pandemic and supply chain crisis continue, we could see the emergence of a variety of new AI innovation and use cases as technology progresses to deal with challenges such as gaining consumer trust. in artificial intelligence and apply advanced technologies to address the problems associated with climate change. In that sense, as companies seek to further leverage a digital advantage that can increase competitiveness, drive greater efficiencies and generate new sources of revenue, these are the top five AI trends we anticipate for 2022.
1. In the customer service area, AI is used to obtain more personalized help
Virtual assistants became a fundamental tool for large organizations and governments during the pandemic. Not only were they a critical avenue for information dissemination, but we also began to see the integration of automation that allowed virtual assistants to complete workflows and tasks such as booking an appointment for vaccination. In 2022, consumers will see more personalized and fully realized interactions with their favorite retailers and service providers, as AI has a greater impact on customer service. A reason for the rise of personalization? Better access to richer data, as businesses and governments turn to data network architectures to help them take advantage of it like never before.
2. AI creates a reliable and sustainable future
Consumers, regulators, and shareholders put greater pressure on companies to realize tangible sustainability benefits. As these pressures increase in 2022, AI will play a key role in helping organizations achieve sustainability indicators through increased measurement, data collection and carbon accounting, as well as improvements in predictability. and adaptation of the supply chain. Companies will also turn their attention to mitigating further disruptions in supply chains by investing in AI-powered automation to make systems faster and more efficient. Thanks to data generated by sensors, RFID tags, meters, GPS and more, inventory will count itself, containers will detect their contents, and pallets will report if they end up in the wrong place.
3. Harnessing the potential of 5G through artificial intelligence
5G connectivity has enormous potential to improve industries, from streaming and communications to robotics and advanced manufacturing. Today, the complexity of telecommunications networks and the speed of change have made the management and control of infrastructure very complex. To advance the deployment of 5G connectivity around the world, Communications Service Providers (CSPs) are turning to AI-driven automation and network orchestration to improve network control and management to deliver faster experiences to the clients. Innovations like network slicing allow companies to establish service levels for each device as it uses the network. AI has the potential to enable rapid changes in the network that optimize its performance and reliability with the application of Machine Learning, helping CSPs to fulfill the promise of 5G.
4. Businesses reduce costs with the application of AI to anticipate problems in information technology (IT) systems before they happen
As custodians of an organization’s digital infrastructure, CIOs (Chief Information Officer) in 2021 were tasked with enabling their workforce for remote work, managing new types of security problems as a result of change, and making sense of the explosion of data generated by modern applications, monitoring solutions, and the ever-increasing use of digital channels. These conditions led to increased interest in applying AI to better anticipate IT problems, leading to an area known as AIOps. In 2022, AIOps will allow IT teams to diagnose problems quickly and safely; This will free them from time-consuming and laborious tasks to focus on delivering greater value to the organization. AIOps will also allow these IT teams to identify patterns in the data to anticipate IT problems before they happen.
5. An ongoing focus on safety
Finally, for AI to continue advancing in these areas, businesses and organizations need to make progress in building greater consumer trust. The battle for consumer trust plays out on several fronts, from the ability to make artificial intelligence decisions understandable and explainable, to assuring consumers that their personal data is protected against cyber attacks. As companies and governments continue to invest in cybersecurity, artificial intelligence will play an even more crucial role in helping to identify and respond to cyber threats more efficiently, while moving towards a “zero trust” approach to further reduce risks.
These trends have a enormous potential to improve people’s lives through improved and more reliable access to goods, services and information.
* General manager of IBM Ecuador.
Paul is a talented author and journalist with a passion for entertainment and general news. He currently works as a writer at the 247 News Agency, where he has established herself as a respected voice in the industry.
