IBM is releasing new toolsets for its business AI platform Watson, pre-trained for nine different industries and professions.
The artificial intelligence algorithms have been specially developed for agriculture, customer service, human resources, supply chain, manufacturing, building management, automotive, marketing and advertising.
It comes amid growing recognition by vendors that industry-specific and largely pre-trained AI solutions are crucial to the uptake of the emerging technology, according to CBR Online.
IBM’s Watson Decision Platform for Agriculture gathers data from various sources – such as weather, IoT enabled tractors and irrigators, and satellite imagery – to provide predictive insights on an app. For example, using AI-enabled visual recognition capabilities, farmers can identify certain types and severity levels of pest and disease damage and determine where to spray pesticides.
Watson Discovery for Salesforce immediately presents the likely solution to a caller’s request, helping customer service agents respond quickly to customer questions and complex inquiries.
Property owners and building managers can use IBM IoT Buildings Insights to tap into the huge volume of data that commercial properties create, helping them to reduce energy costs and understand occupancy dynamics.
Other new Watson solutions will support hiring decisions, help marketing teams to build better campaigns, and collate weather and traffic data and regulatory reports to provide insights into global supply chain issues.
“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,” commented David Kenny, senior vice president of IBM Cognitive Solutions.
The release follows IBM’s announcement of a new software service that gives businesses more transparency into AI decisions.
Recent research from IBM’s Institute for Business Value revealed that 82% of firms are now considering AI deployments.