Technology major IBM unveiled new Watson solutions and revealed achievements of its clients.
“AI is the tool professionals need to take advantage of the data that’s now at our fingertips and tailoring general AI for specific industries and professions is a critical way to enable everyone to reach new potential in their daily jobs,” said David Kenny, senior vice president, IBM Cognitive Solutions.
IBM has deployed Watson AI solutions in thousands of engagements with clients across 20 industries and 80 countries.
IBM’s Watson AI solutions are used in industries, including by seven of the 10 largest automotive companies and 8 of the 10 largest oil and gas companies.
Spending on cognitive and AI systems will reach $77.6 billion in 2022, more than 3X the $24 billion forecast for 2018 – growing at 37.3 percent CAGR during 2017-2022 forecast period, said IDC recently.
“Early adopters in banking, retail and manufacturing have leveraged cognitive/AI systems as part of their digital transformation. These strategies helped companies personalize their relationship with customers, thwart fraudulent losses, and keep factories running,” Marianne Daquila, research manager Customer Insights & Analysis at IDC.
IBM last week announced a new software service that gives businesses transparency into AI decisions, as well as research from IBM’s Institute for Business Value, which revealed that 82 percent of businesses are now considering AI deployments.
IBM’s Watson Decision Platform for Agriculture gathers data from sources such as weather, IoT enabled tractors and irrigators and satellite imagery, and provides a single, overarching, predictive view of data as it relates to a farm in an easy-to-use app.
Roric Paulman in Nebraska is using Watson to improve the efficiency of his 10,000 acres farm.
IBM’s Watson Discovery for Salesforce gives customer service agents the information about a caller’s request in real-time. Deluxe Corporation achieved improved response times and increased client satisfaction.
IBM’s AI functionality for HR analyzes the background of current top performing employees from diverse backgrounds and uses that data to help flag promising applicants. It provides an indicator of success and can help address bias in hiring decisions.
BuzzFeed and H&R Block used IBM Watson to refocus recruiters’ time on attracting and hiring the candidates who are most likely to succeed in a given role, in an efficient and inclusive manner.
The new IBM Watson Assistant for Marketing feature, embedded into the Watson Campaign Automation SaaS solution for marketers, can help by converting the busy work of marketing into a simple conversation with Watson. Ingersoll Rand is using it to understand marketing performance faster and build campaigns.
Subway used IBM’s new WEATHERfx Footfall with Watson to design ads based on shifting weather patterns. Subway increased traffic by 31 percent, far exceeding all other targeting methods, during its advertising campaign. Subway achieved 53 percent reduction in campaign waste, salvaging about 7.9 million impressions that would have otherwise gone to waste.
IBM’s Watson toolsets help industrial teams reduce product inspection resource needs using visual and acoustic inspection capabilities.
IBM IoT Buildings Insights can decode the exabytes of data that commercial properties create so that building managers can leverage that data to help reduce energy costs and understand occupancy dynamics in buildings, allowing them to understand and prepare for different occupancy patterns.
IBM is bringing the power of AI to the next generation of our Requirements Management solution. Watson can now assess the quality of requirements and provide guidance on how to improve their quality.