indico’s Machine Learning Solution to be Featured at AI World 2017

December 03 15:57 2017 Print This Article

BOSTON, Dec. 04, 2017 (GLOBE NEWSWIRE) — indico CEO Tom Wilde will present indico’s machine learning solution as part of an interactive panel session at the AI World 2017 Conference and Expo next week in Boston. The event takes place Dec. 11 – 13th at the Boston Marriott Copley Place. indico is also a featured exhibitor at the event which focuses on the business and technology of artificial intelligence and machine learning in the enterprise. They can be found at Booth #102.

In just its second year, AI World has become the industry’s largest event focused on the practice of enterprise AI and machine learning.  This year’s conference will feature more than 70 sessions and 120 industry thought leaders sharing their views.

Machine learning offers tremendous opportunities for businesses, but there is still a large gap between its promise and practical deployment for most enterprises. Some of the barriers include limited access to required skillsets, insufficient data or infrastructure, poorly designed pre-trained offerings, or unrealistic expectations. 

indico, which focuses on machine learning solutions for unstructured data; e.g., text, image, and other document-based information, is working to lower the barriers to entry by requiring less data, time, and investment to leverage machine learning for practical business application. indico’s solution enables enterprises to use much smaller sets of data to create customized models, giving users the ability to rapidly iterate to determine whether there’s any value in the results. Projects with worthwhile results can then be scaled and deployed with minimal engineering overhead and risk.

Wilde came to indico in September to help the company build on its early success in the financial services, insurance and legal industries and free up co-founder Slater Victoroff to focus on advancing the company’s technology platform and product vision. He’ll have a chance to share more details on the solution in the panel session.

Session Details:
AI Startup Lightning Round
Monday, Dec. 11, 6:45 – 7:30 pm
Salon G

In this moderated panel, representatives from seven AI startups will present their AI-powered applications, followed by unbiased feedback from a panel of experts and audience Q&A.

Moderator Steve Ardire, AI Startup Advisor & ‘Merchant of Light’
Expert Panelists


Rudina Seseri, Founder and Managing Partner, Glasswing Ventures
Meredith McPherron, Angel Investor, Entrepreneur, Strategic Advisor
Clara Durodié, CEO & Founder, Cognitive Finance Group
AI Startup


Vito Vishnepolsky, Head of Business Development NA,
James Pita, Chief Technology Innovation Officer, Avata
Abhi Yadav, Founder/CEO, ZyloTech
Dr. Catriona Wallace, CEO & Founder, Flamingo AI
Mico Yuk, CEO & Co-Founder, BI Brainz
Tom Wilde, CEO, indico
William Wright, CEO / Founder of Synaptik

About indico

indico offers a highly functional and efficient machine learning solution specifically designed for unstructured data; e.g., text, image, and other document-based information. Our platform empowers enterprises to apply machine learning more readily to these data types for practical business purposes. We make the application of machine learning easier because our platform requires less data and expertise to put machine learning into practice. Users can build custom models in less time and leverage our expertise to deploy them more quickly and efficiently. Enterprises use our technology to accelerate existing business processes that are highly manual and involve analysis of large amounts of unstructured data and documentation, and to gain new business insights within existing data to fuel innovation. indico also provides the core building blocks for incorporating machine learning capabilities into other technology products and services. The company is privately held and headquartered in Boston, MA. For more information, visit

CONTACT: Media Contact:
Tim Walsh
for indico
[email protected]
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Jonathan Yaniv
Jonathan Yaniv

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