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IBM Launches Watson Data Kits to Help Accelerate Enterprise AI Adoption
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IBM (NYSE: IBM) today announced the launch of IBM Watson Data Kits, which are designed to accelerate the development of AI applications to help support faster, more informed decision making for business leaders. Watson Data Kits will provide companies across industries with pre-enriched, machine readable, industry-specific data that can enable them to scale AI across their business. With expected availability in 2Q 2018, the kits will initially serve the travel and transportation and food industries with Watson Data Kits for travel points of interest and food menus, respectively.

Data scientists currently spend roughly 79% of their time collecting, organizing and mining data to glean actionable insights (Source: Forbes, 2016), making it challenging for business leaders to implement must-have AI technology at scale. By helping to streamline and accelerate the development process for data scientists and AI engineers, companies can now quickly extract rich insights, create more engaging consumer experiences and ultimately drive greater business value.

“Big data is fueling the cognitive era. However, businesses need the right data to truly drive innovation,” said Kristen Lauria, General Manager of Watson Media and Content. “IBM Watson Data Kits can help bridge that gap by providing the machine-readable, pre-trained data companies require to accelerate AI development and lead to a faster time to insight and value. Data is hard, but Watson can make it easier for stakeholders at every level, from CIOs to data scientists.”

Developed with Triposo an IBM data provider, the Watson Data Kit for travel points of interest (POI) will provide airlines, hotel brands, online travel agencies and others with point-of-interest data to help them create more engaging experiences for travelers. It will contain more than 300,000 points of interest in 100 categories. Companies within the travel and transportation industry can use the kits to more easily build AI-powered web and mobile experiences to help consumers find fun and interesting things to do in their destination city. For example, a hospitality company could use the Watson Data Kit for travel points of interest to train the AI powering the chatbot within its mobile application, recommending personalized destinations and attractions based on a customer’s preferences.

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