IBM outlined prepackaged Watson tools pretrained for various industries use cases such as agriculture, customer service, human resources, manufacturing and marketing.
The move highlights a growing trend in both artificial intelligence and machine learning where technology providers are trying to provide easier-to-implement options that can be used without teams of data scientists.
Each Watson pack is in different states of release but take best practices and training knowledge from various IBM engagements. For instance, IBM said its Watson Decision Platform for Agriculture is generally available. IBM has integrated its weather data as well as Internet of things end points in agriculture and images to provide a "predictive view of a farm." Farmers would get an app for realtime decision support.
Here's a rundown of other areas where IBM is pre-training Watson for industries and functions.
A customer service Watson pack is also being released after a pilot with Deluxe Corp. The Watson customer service app aims to bring service agents relevant information about a caller in real-time without a lot of training.
For human resources, Watson tools will analyze the background of current top performing employees from diverse backgrounds and aim to find similar traits among applicants.
IBM's Watson Assistant for marketing converts metrics to actionable information to be used for personalized campaigns. On the advertising front, Watson is using weather data to tailor ads.
Watson Supply Chain Insights is generally available and aims to couple weather data, traffic reports and regulatory changes to give enterprises a better view of a supply chain.
Toolsets based on Watson and IoT analytics are being used for manufacturing for industrial equipment with a focus on product inspection, productivity, skills gaps and material costs as well as downtime and defects.
Now that the services used by an enterprise and provided to its customers may be hosted on servers in the public cloud or on-premises, maybe "hybrid cloud" isn't an architecture any more. While that may the case, that's not stopping some in the digital transformation business from proclaiming it a way of work unto itself.