ServiceNow and IBM: Making AI really work

A large number of AI announcements are sent out every day-many of them are false. This is kind of ridiculous.

But of course some are worthy of attention. For example, consider a company from IBM and ServiceNow that have announced an expansion of their strategic relationship. In most cases, it focuses on the important things, namely, driving measurable results across the organization.

To this end, IBM plans to use its AI-based hybrid cloud infrastructure with ServiceNow’s intelligent workflow system. In this way, the company will be able to automatically prevent and correct IT problems, which is no easy task. This not only means that service representatives have more time to work on value-added projects, but AI will provide valuable advice. Over time, these will get better.

Please note that there is evidence that Watson AIOps can reduce resolution time by 65%. There are other things: According to Aberdeen, unforeseen IT events and outages could cost the company $260,000 per hour.

David Parsons, Senior Vice President of ServiceNow Global Alliance and Partner Ecosystem, said: “The demand for digital in today’s business environment is unprecedented.” “The result is that those who strive to deliver cross-functional workflows cannot create good for customers, employees, and partners. The organization of experience will be left behind. Digital transformation is no longer anyone’s choice, and AI and digital workflow are the way forward.”

This is definitely the scene. IBM and ServiceNow showed that AI can be used not only for small projects that do not drive change in a major way.

Parsons said: “The four keys to the success of artificial intelligence are: 1) automate IT, 2) gain insights, 3) reduce risks, and 4) reduce costs for the entire enterprise.” “Together with IBM, we are The company provides all the tools needed to achieve each of the above factors. The first phase of our strategic partnership expansion combines IBM’s AIOps software and professional services with ServiceNow’s intelligent workflow capabilities to help the company meet current numbers demand.”

The driving force of artificial intelligence

When it comes to AI, things quickly become chaotic. This category has a wide range and rapid development. There are countless subcategories, such as machine learning, deep learning, NLP (natural language processing), computer vision, etc. A full understanding of all this is essential to success.

“When talking about AI, we are referring to commercial AI, which is very different from consumer AI.” said Michael Gilfix, vice president of cloud integration and chief product officer of IBM Cloud Paks. “AI for enterprises is to enable organizations to predict results, optimize resources and automate processes, so that people can focus their time on the things that really matter.”

Please note that since its establishment in 2011, IBM Watson has processed more than 30,000 customer events. In other words, there are some important lessons. According to Gilfix, they include: NLP is the core of commercial AI because the technology can parse and understand large amounts of unstructured data. These models need trust and interpretability in order to be adopted; then IT and business processes should be truly automated.

Gilfix said: “We believe that every company will become an AI company, and the adoption of AI is accelerating.” “The global pandemic has clearly shown that artificial intelligence can help solve the huge problems facing businesses today, from driving digital transformation to making Customers and employees stay informed and engaged.”

Tom@ttaulli) Is an advisor/board member of a startup company and is Basics of Artificial Intelligence: Non-technical Introduction with Robotic Process Automation Manual: RPA System Implementation Guide.He has also developed various online courses such as Cobb with python Programming language.