An IBM logo (International Business Machines Corporation) sits on their offices in Yueido … [+]
Every day, a piece of AI announcements is sent and they are often empty. It’s kind of humorous.
But of course some have to pay attention to it. For example, consider one of IBM and ServiceNew that has announced a strategic partnership. Most of the focus is on what is important – that is, the measurable impact that driving has on organizations as a whole.
To this end, IBM plans to take advantage of AI-powered hybrid cloud infrastructure with ServiceNow’s intelligent workflow system. Doing so will enable companies to automatically avoid and fix IT problems, which is certainly not an easy task. This means that service representatives will not have to spend more time on value-added items, and AI will make valuable recommendations. It will also get better over time.
Note that there is evidence that Watson is able to reduce AIOPS resolution times by 65%. And something different: According to Aberdeen, the company has to spend Rs 200,000 per hour due to the mistakes and mistakes made in the past.
David Parson, senior vice president of Global Alliance and Partner Ecosystem at Service Now, said, “The digital demand for today’s business environment is unprecedented. “As a result, organizations struggling to deliver cross-functional workflows that create great experiences for customers, employees and partners will be left behind. Digital transformation is no longer an option for anyone and AI and digital workflow are the way forward. ”
This is definitely spot-on. And IBM and Services are showing that AI can be more than small projects that don’t move the needle in a significant way.
“The four keys to success with AI are 1) the ability to automate IT, 2) gain in-depth insights, 3) reduce risk and 4) lower costs on your business,” Parson said. “With IBM, we are equipping companies with all the tools they need for each of these components. The first phase of this expansion of our strategic partnership will bring together IBM’s AIOPS software and professional services to help companies with the intelligent workflow capabilities of Servan Na meet the digital demand of the moment. “
Air drivers
Things can get confusing quickly when it comes to AI. The range is expanding and moving fast. There are also numerous subcategories such as machine learning, deep learning, NLP (Natural Language Processing), Computer Vision, etc. Understanding all of these things is key to success.
“When we talk about AI, we mean AI for business, which is very different from customer AI,” said Michael Gilfix, vice president of cloud integration at IBM and chief production officer at Cloud Pax. “AII for business enables organizations to predict outcomes, optimize resources, and automate processes so that humans can focus their time on truly important things.”
Note that in 2011, IBM Watson handled more than 1,000,000 customer investments. In other words, there are some important lessons. According to Gilfix, they include: NLP is at the heart of AI for business, as this technology can analyze and understand numerous data; Models need to be trusted and explained in order to be adopted; And then there should be real automation of IT and business processes.
“We believe that every company is going to be an AI company, and adopting AI is fast,” said Gilfix. “The global epidemic has made it clear that AI can help businesses with the vast challenges facing businesses today, from running digital transformations to keeping customers and employees informed and engaged.”
Tom (ttaulli) Is a consultant / board member and author of Startups Artificial Intelligence Fundamentals: A Non-Technical Introduction And Robotic Process Automation Handbook: Guide to RPA System Implementation. They have developed various online courses, such as Kobal And Python Programming language.