Talla, Inc. develops recruiting, marketing, and office management software. The company was incorporated in 2015 and is based in Brookline, Massachusetts.
281 Walnut Street
Brookline, MA 02445
Founded in 2015
Talla, Inc. Presents at Global Artificial Intelligence Conference, Jan-19-2018 03:30 PM
Jan 16 18
Talla, Inc. Presents at Global Artificial Intelligence Conference, Jan-19-2018 03:30 PM. Venue: Santa Clara Convention Center, 5001 Great America Parkway, Santa Clara, California, United States. Speakers: Will Murphy, VP.
Talla Launches Botchain, a Blockchain-Based Platform for Ensuring Certainty and Security in A.I. Autonomous Agents for Business
Sep 14 17
Talla launched one of the first platforms to combine artificial intelligence with blockchain technology to bring trust and security in using A.I.-driven autonomous agents in the workplace. This platform, called the Botchain, will help foster mass-adoption of A.I. products in business with intelligent agent auditing, compliance regulations, and communication standards on a blockchain. As A.I.-based systems become more prevalent, both users and applications will require a network where identities and transactions are verifiable and auditable. Blockchain technology is the missing piece that enables this. Traditional APIs, which were created for simple data exchange, are ill-equipped to handle A.I.-driven autonomous systems. But a new generation of systems are emerging that can intelligently adapt, change, and make decisions over time. The new requirements for safety and security using autonomous systems cannot be solved by existing methods. The Botchain provides critical systems for anyone that uses A.I. powered products, as well as those that develop them. For example, end users of any A.I.-powered, autonomous system will gain an audit-able trail of interactions and decisions made, accomplished by hashing information about each agent task to the blockchain so it cannot be changed. Bots' identities are verified with certainty to the humans that use them, and to other bots, preventing bot spoofing and spamming. Developers benefit as well by ensuring system security, including: an audit-able, de-centralized trail for clarity and transparency on autonomous decisions reached; transparency for re-training of machine learning models - which many systems are missing to date; standardized protocols for autonomous systems which allow them to tap into one another and communicate - therefore multiple layers of a network to work in tandem; an open marketplace of skills that bot developers can access and add to their product offerings.