An IT Support Blog from London

Among the key technologies pushing businesses forward today are artificial intelligence (AI) and cloud computing. The numbers back this up. AI, for instance, is projected to be a mind-boggling $407-billion dollar industry by 2027, growing at a projected compound annual growth rate of 37.3% from 2023 to 2030. Cloud services, in the meantime, continue their steady rise, with Infrastructure-as-a-service (IaaS) and Platform-as-a-Service (PaaS) forecast to show the highest end-user spending growth for this year.

The high adoption rates for these two industries are certainly not out of coincidence or sheer luck. Since cloud computing gained significant traction and became mainstream in the late 2000s, it has served as a huge driver of change in how organisations do business. The entry of artificial intelligence and machine learning algorithms have only served to enhance the cloud’s adaptability and its capability to leverage data.

Bill Gates once famously said, “Your most unhappy customers are your greatest sources of learning.” Well, in this day and age when technology rules, less-than-satisfied customers can also be a strong impetus for innovation.

When it comes to innovating and making groundbreaking changes across most industries, artificial intelligence (AI) has been leading the pack over the past decade. Machine learning algorithms are being widely used in manufacturing, healthcare, financial services, agriculture, and yes, AI is even highly-leveraged in emergencies and rescue missions.

All that said, customer support for enterprises should be a cinch for artificial intelligence and its subfields, right? No lie there. Already, the Conversational AI Market is anticipated to surge to $40.5 billion by 2032; a 17% increase from the $8.33 billion volume in 2022. This isn’t all that surprising considering how chatbots, virtual agents, and other AI business support applications in general, have totally changed the game in enhancing the customer experience.