As the skills gap widens for software developers, machine-learning specialists are stepping in with collaboration platforms designed to streamline time-consuming tasks such as tracking down technical solutions when working with new technologies. Collokia, a New York-based startup, announced the beta launch of a machine-learning platform last month that uses artificial intelligence to promote greater collaboration in software development. The other goal is reducing the "technical debt" of development teams by using AI to track down relevant information about a technology project, including information that already resides in company systems. The platform edits and updates search results as a way to disseminate information more widely among development teams. Automation tools that leverage AI promise to address the growing shortfall of qualified software engineers.

Collokia, machine learning company that builds seamless collaboration solutions for software developers, announced the beta launch of its new, collaborative machine-learning platform, designed to foster collaboration within software teams by enabling improved access to information and knowledge. Software teams spend a great deal of time researching technical solutions, especially when the technology they are working with is new to the team. But sifting through the vast array of information available on the Internet is cumbersome. Collokia's collaborative machine-learning platform offers an easy-to-use solution that allows software teams to easily identify, catalog, and share useful information, reducing the time spent on research and promoting increased knowledge transfer between, and within, development teams. Most collaboration platforms have cumbersome systems for information sharing, placing an extra burden on already busy teams, Collokia's platform for knowledge mapping, collection, and distribution is designed to be completely transparent and effortless.