Veritone, an organization that provides companies with different software for arranging machine learning frameworks to perform tasks, reported today that it has obtained Atigeo’s technology for data analytics. That innovation incorporates a framework intended to process unstructured information using a technique for making rule based processing frameworks. A few key Atigeo workers, including the organization’s chief scientist Wolf Kohn, will join Veritone following the arrangement.
“We are very excited about the addition of Atigeo’s proprietary machine learning capabilities to our growing body of technology and intellectual property in data science, which is a key area of focus for Veritone,” said Chad Steelberg, Chairman and CEO of Veritone. “We plan to incorporate portions of Atigeo’s technology into Veritone aiWARE™, which will further advance our intelligent orchestration of cognitive engines and expand the platform’s understanding of all data types. This strategic acquisition will build on our data science foundation and help us further refine our conducted learning in a future where the best cognitive engines can be predictively and immediately selected from thousands of choices and employed to process specific segments of content.”
The procurement uses a cooperative conveyed inferencing framework—in view of Hamiltonian models and other proprietary calculations—that empowers information inside tremendous groups of unstructured data were straight computational, customary machine learning and manual methodologies are illogical, if certainly feasible. Atigeo’s innovation will initially be used to enhance Veritone’s conductor technology, which takes client information and finds an arrangement of machine learning engines that are appropriate for handling specific issues, similar to image recognition or speech transcription.
“In addition to closing the acquisition of Atigeo’s assets, we have also signed non-binding letters of intent with two other potential acquisition candidates, and are engaged in the due diligence and document negotiation process on those opportunities, in addition to pursuing our other targets,” said Steelberg. “We anticipate announcing the signing of definitive acquisition agreements with one or both of these companies in the first quarter of 2018, but we continue to be thorough in our diligence and negotiation processes, which can impact the timing or completion of these deals.”
The move will enable the organization to encourage its intriguing methods of machine learning. As opposed to having organizations manufacture adapted models for each errand that they have to finish, Veritone’s technology plans to take care of issues by directing commitments from a few unique models accessible in the organization’s list.