AI and AIOps are transforming the future of work and IT Operations respectively and this pace is only set to accelerate given the pace of digital transformation and the catalyst of COVID-19. So it was a pleasure to take part in a recent panel hosted by IBM UK and BEE Executive Events on this critical subject area, with this session available now on demand. Here are my takeaways and reflections on shaping the future of IT, covering the adoption of AIOps, AI and automation fears; reducing downtime and improving productivity, collaboration and experience; and achieving workforce balancing across technology, culture and skills. How can companies more easily plan, adopt, and ultimately deploy AIOps more efficiently and what are the primary benefits this will bring? Hint – this is people and tech in partnership.

AI and AIOps are transforming the future of work and IT Operations respectively and this pace is only set to accelerate given the pace of digital transformation and the catalyst of COVID-19. So it was a pleasure to take a part in a recent panel hosted by IBM UK and BEE Executive Events on this critical subject area, with this session available now on demand. Here are my takeaways and reflections on shaping the future of IT, covering the adoption of AIOps, AI and automation fears; reducing downtime and improving productivity, collaboration and experience; and achieving workforce balancing across technology, culture and skills. How can companies more easily plan, adopt, and ultimately deploy AIOps more efficiently and what are the primary benefits this will bring? Hint – this is people and tech in partnership.

The evolution of AI and AIOps today is being driven by five key trends which, while each important on their own, are much more striking when taken together. As a collective it forces a concentration on the kinetic aspects of AI. Let me outline the five biggest trends affecting AI and AIOps today, and explain why IT organizations should track their development and their implications. The first trend is widely recognised: DevOps has made a continuously evolving IT environment a reality. IT has always evolved rapidly, a constant feature of the industry. But now, with DevOps adopted in many organizations, we're going to another level.

Artificial intelligence (AI) is nothing new. Making computers think in the way that people think has been debated for as long as computer science has existed as a concept, and there have been several booms and busts in AI research over the last seventy years. However, more recently a shift has occurred, in which a more specialized notion of AI has begun to proliferate in often subtle, hidden ways, and in almost every part of our daily life. AI is being used in the automotive industry to improve the driving experience, in the healthcare industry to diagnose patients and identify potential treatments, and in the agriculture industry to improve operational efficiency by automating essential farming processes. One development in which AI is relatively visible is in the evolution of the chatbot.