Bringing AI and machine learning data science into operation

Contributed content from Foutse Khomh and Giuliano Antoniol, Professors in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal (Canada), Montreal, Canada.

Red Hat, as an open source community leader, participated with AI/ML researchers at the Software Engineering for Machine Learning Applications (SEMLA) initiative – sharing how organizations can take advantage of modern infrastructure based on open technology such as agile integration, microservices, and containerized applications – to help build and deploy managed, scalable intelligent applications on hybrid clouds.

Organizations eager to adopt AI and machine learning (ML) are up against significant challenges.  The practice of bridging the gap between data science and operations, much in the same way that DevOps can for application development. And just as with DevOps, there are architectural, cultural and process considerations associated with creating an agile AI/ML environment. For example, parallel to modern DevOps, open hybrid cloud platforms can allow for faster turnaround of refining models, integrating disparate data sources more quickly, and making it easier to take advantage of ML capabilities and tools from both providers and third parties – who have made their solutions available as containerized services.

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Staking a claim in digital-only banks

Big names in the financial services sector are moving beyond incorporating a few online and mobile banking features into their traditional products and services. They’re stepping into full-scale, digital-only banking: Chase has launched Finn, for example, and Citizens Financial Group has created Citizens Access. Reportedly waiting in the wings is a national digital-only bank from Citigroup, too.

These new brands stemming from established banks will be going up against competitors such as Ally and GoBank, who have made the digital-only bank space their home from their inception. By launching their digital brands, Chase, Citizens Financial Group, and the others that follow, are creating options for escaping the confines of their existing processes and technology environments.

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