IBM expands Watson capabilities, announces big data initiatives

IBM Security QRadar Incident Forensics software launched
IBM today announced new and expanded capabilities that enhance Watson’s data analysis and discovery capabilities on the IBM Cloud.

The US-based IT major expanded Watson Discovery Service with new functionality and introduced Watson Company Profiler, an experimental platform solution built with Watson Discovery.

In April, IBM will roll out new beta functionality in the Watson Discovery Service. The functionality will enable relevancy training and passage retrieval capabilities to find better answers, adding to the service’s existing ability to identify useful patterns and insights in large datasets.

With the Watson Discovery Service, IBM is giving users the power to unlock value in data without having to spend unnecessary resources on complex data pipeline engineering and data wrangling challenges.

Additionally, IBM announced that it will soon release an experimental platform solution called Watson Company Profiler, a pre-built cognitive discovery solution that will enable company intelligence and analysis for business users.

Built using Watson Discovery Service, Watson Company Profiler accesses Dun & Bradstreet’s commercial database of 265 million business records and sifts through 30,000 global data sources to identify relevant insights about a company.

Surfacing publicly available data, like content from news outlets, social media, journals or annual reports, as well as Dun & Bradstreet proprietary data, Watson Company Profiler can help businesses glean meaningful insights.

IBM further announced that together with tech learning community Galvanize, it introduced new cognitive, cloud and data science training initiatives on IBM Cloud. The initiative is aimed to increase the talent pool of cognitive developers and data scientists.

The enterprise IT vendor expects that this partnership will work to bridge the emerging skills gap for professionals by tapping the accessibility of cloud to bring an advanced cognitive and data skills curriculum to a broad range of global developers and data scientists.

Additionally, IBM and PlayFab announced a joint initiative to provide game developers with deeper insights into their players’ behavior.

The interactive gaming market generated more than $91 billion in revenue in 2016, with more than $41 billion from mobile gaming.

To achieve projections of $120B by 2020, the industry will need to increase capabilities to understand and act on player behavior in real time.

By pairing the IBM Watson Data Platform on IBM Cloud with PlayFab’s backend services for games, developers can utilize the industry’s fastest data ingestion engine with cognitive powered decision support to help improve player experiences and boost engagement.

In another announcement, IBM said it introduced a new container service on Bluemix, its cloud platform, to accelerate the development of  secure and cognitive apps.

Available on its Cloud, this service uses Kubernetes, an open-source container orchestration system leveraging a Docker engine.