Grazed from Domo
Last week at Domopalooza 17, Domo's annual user conference, Domo announced Mr. Roboto, a new set of capabilities in the Domo platform that leverages machine learning algorithms, artificial intelligence and predictive analytics, to power more advanced insights, recommendations and alerts for business decision makers across the enterprise.
As the world's first advanced intelligence platform to be fully integrated into The Business Cloud, Mr. Roboto is uniquely positioned to provide a more holistic analysis of what's happening across the business than any other machine learning or predictive engine available.
Domo is the first platform to bring together an organization's people with massive amounts of business data from across the organization. Mr. Roboto takes advantage of this convergence and will be the first to leverage social patterns happening in The Business Cloud, to deliver deeper insights.
Grazed from Wipro Limited
Wipro Limited, a leading global information technology, consulting and business process services company, today announced the launch of the Wipro HOLMES Cloud BOT - a continuously learning digital consultant that leverages Wipro’s BoundaryLess Data Center solution.
The Wipro HOLMES Cloud BOT uses a gamified natural language processing (NLP)-based chat interface to have an intelligent interaction with stakeholders to enrich the data for cloud analysis. It leverages the Wipro HOLMES Artificial Intelligence Platform that helps enterprises hyper-automate processes, redefine operations and enable their digital journeys. HOLMES represents Wipro’s integrated automation capabilities across infrastructure, applications and business process services, delivered through a comprehensive blend of tasks, processes, and cognitive technologies.
The Wipro HOLMES Cloud BOT leverages applications and infrastructure data residing in multiple data sources in the client’s environment, and facilitates collaboration between stakeholders from IT and business teams to create a comprehensive digital repository. This helps in analyzing and predicting viable cloud placement decisions, based on rule-based algorithms and past learning to accelerate the client’s cloud journey.