New IBM data platform, consultancy helps companies on their AI journey
The new platform – called Cloud Private for Data – is an integrated data science, data engineering, and app building platform that was designed, says IBM, to help companies uncover previously unobtainable insights from their data. It features a fast in-memory database that can ingest and analyze massive amounts of data at one million events per second.
The platform lets users build and exploit event-driven applications capable of analyzing the torrents of data from things like IoT sensors, online commerce, mobile devices, and more. Launching initially on the company’s Cloud Private platform, Cloud Private for Data is an application layer deployed on the Kubernetes open-source container software and can be deployed in minutes. Using microservices, it forms an integrated environment for data science and application development.
The Data Science Elite Team, announced separately, is described as a new no-charge consultancy “dedicated to solving clients’ real-world data science problems and to assisting them in their journey to AI.” Comprising more than 30 data scientists, machine learning engineers, and decision optimization engineers, the global team is available to assist clients on site to begin helping them better understand and control their data, and to start making machine learning an integral part of their business.
Data Science Elite Team client engagements center around a use case and begin with a discovery workshop that helps clients understand their data environment and break this use case down into three to four discrete deliverables that can each be realized in two to three weeks. Following the workshop, clients are provided access to data science strategies, technologies, and methodologies through data science sprints and validation.
“Whether they are aware of it or not, every company is on a journey to AI as the ultimate driver of business transformation,” says Rob Thomas, General Manager, IBM Analytics. “But for them to get there, they need to put in place an information architecture for collecting, managing, and analyzing their data. With today’s announcements, we are planning to bring the AI destination closer and give access to powerful machine learning and data science technologies that can turn data into game-changing insight.”
In the future, says the company, the Cloud Private for Data will run on all clouds, as well as be available in industry-specific solutions, for financial services, healthcare, manufacturing, and more. As far as the Data Science Elite Team, it is expected to grow to 200 people over the next few years.
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