IBM has announced the first IBM Watson-based services platform built on the IBM Cloud that augments human intelligence to help improve service provider operations via cognitive technologies and freeing up professionals to focus on driving higher value results.
The IBM Services Platform with Watson already is being leveraged by early adopter Danske Bank as part of a new 10-year information technology infrastructure service contract.
The platform provides companies with artificial intelligence capabilities that bring together human intelligence and insight with technology by creating infrastructures, which is designed to predict and identify potential problems and self-heal, helping reduce business disruption and strengthening a highly secure IT environment.
"In a world where always on is the new norm for businesses of all kind, clients expect from their services partners the ability to deliver operational excellence at any time, at any place for any system," said Martin Jetter, IBM senior VP of Global Technology Services. "The IBM Services Platform with Watson will redefine service delivery and quality and provide significant competitive advantages to our clients."
The IBM Services Platform with Watson’s cognitive capability can both predict problems and proactively direct automation to improve quality, as well as provide IT staffs with critical information to help them make faster, data-driven decisions.
Over the next three years every industry will face an explosion of data as more and more digitization happens with adoption of mobile and IoT. A recent IBM survey found that approximately 50 percent of CEOs plan to adopt cognitive computing by 2019, and they expect a 15 percent return on their investment.
With the platform, automation tools can do more than execute simple instructions, they can now run diagnostics and execute actions to address the root causes of issues and unstructured e-mails and chats can be read in natural language and resulting insights used to resolve problems without manual intervention.
Technical requirements can be understood quickly, gaps in current operations identified and tailored solutions designed and implemented. With vast knowledge bases able to be mined, the best answers are available for technical experts to use to enable them to find faster issue resolution.