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ThoughtTrace, Inc. Appoints Arthur Medina as VP of Digital Transformation

Vlad Poptamas

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ThoughtTrace, Inc., the leader in domain-specific, AI-powered document intelligence and contract analytics, has appointed energy executive Arthur Medina as VP of Digital Transformation.

Medina, an energy executive, will be joining a fast-growing customer success and product development team dedicated to operational excellence and fanatical customer success. He will work closely with the ThoughtTrace customer-base to identify and deliver business process optimization and accelerate digital transformation initiatives. ThoughtTrace customers have taken a large step forward in these initiatives by leveraging the leading platform for AI-powered document intelligence and contract analytics. Medina and team will work with the progressive and forward-thinking ThoughtTrace community to maximize their investment, support innovation, and lead them to even greater insights. He will also create & recommend consistent technical and operational standards.

Medina brings rich perspective to ThoughtTrace from a diverse consulting background with E&P companies, mineral & royalty companies, alternative energy firms, as well as financial institutions carrying out upstream operations, A&D transactions, asset optimization and digital transformation campaigns.

“We are thrilled to have Arthur join the ThoughtTrace leadership team. Arthur brings over a decade of operational & strategic insights in the field of technical integrations, asset management, and A&D advisory, and his approach to technology enablement will be a tremendous complement to our ongoing commitment to customer success,” said Kurt Kemmerly, Vice President of Customer Success at ThoughtTrace.

Medina began his energy career in east Texas with DMV Petroleum and Aspen Pipeline, LP. Most recently he served as an executive for a PE backed energy consulting firm. Medina’s previous consulting role was responsible for implementation, execution and delivery throughout the Appalachian region, Permian Basin, Mid-Con Region, Rockies (Co, UT, WY), Bakken region, Eagle Ford region, east Texas, and California. Medina sits on the education development board of the AAPL that is responsible for developing new courses and content for the industry, and holds a BBA from Stephen F. Austin State University.

 

SOURCE ThoughtTrace, Inc.

Artificial Intelligence

Europe AI in Social Media Market By Component, By Technology, By Organization Size, By Application, By End User Industry, By Country, Competition, Forecast & Opportunities, 2025

GlobeNewswire

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New York, July 01, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Europe AI in Social Media Market By Component, By Technology, By Organization Size, By Application, By End User Industry, By Country, Competition, Forecast & Opportunities, 2025” – https://www.reportlinker.com/p05916824/?utm_source=GNWClare: clare@reportlinker.com
US: (339)-368-6001
Intl: +1 339-368-6001

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Artificial Intelligence

ABQQ Announces Plan of Opening its North America Operation Offices in NYC in October 2020

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HONG KONG and NEW YORK, July 01, 2020 (GLOBE NEWSWIRE) — AB International Group Corp. (OTCQB: ABQQ), an intellectual property (IP) and movie investment and licensing firm announces its North America operation offices will be opening in October 2020. The North America operation office will be located in New York City, and will be headed by the Chief Investment Officer, who will be recruited in NYC. The office will be operating the company’s main business: acquisitions in IP and film copyrights; also planning to provide TV dramas and films to broadcast on video streaming websites worldwide, starting December 2020.
About AB International Group Corp. 
AB International Group Corp. is an intellectual property (IP) and movie investment and licensing firm, focused on acquisitions and development of various intellectual property. We are engaged to acquisition and distribution of movies. The Company has a Patent License to a video synthesis and release system for mobile communications equipment, in which the technology is the subject of a utility model patent in the People’s Republic of China. We had launched a business application through smartphones and official social media accounts based on WeChat platform in February 2019, utilizing Artificial Intelligence, it is a matching platform for performers, advertiser merchants, and owners for more efficient services. It generates revenues through an agency service fee from each matched performance.

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LSU CS Professor Studies COVID-19 Disparities on Social Media

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BATON ROUGE, La., July 01, 2020 (GLOBE NEWSWIRE) — During the COVID-19 pandemic, a plethora of information has gone out from various news sources about how the virus is being tracked, how it is spread, how many cases exist, and so forth. The problem is much of this vital information can be inaccurate, leaving people to ignore advice from public officials. For this reason, LSU Computer Science and Engineering Assistant Professor Kisung Lee and LSU Environmental Sciences Professor Nina Lam are evaluating how a population reacts to multiple sources of information, hoping to eliminate disparities in the messaging.“Studying different COVID-19 responses to trustworthy information will contribute new perspectives and improve our fundamental understanding of the human aspects of information trustworthiness during a pandemic,” Lee said.Lee, principal investigator on the project, and Lam recently received a $200,000 grant from the National Science Foundation for the project and will have University of Washington Center for Studies in Demography & Ecology Director Sara Curran and Cybersecurity Research Fellow Jessica Beyer work alongside them.Lee will collect and analyze Twitter and linked media data using artificial intelligence-based techniques; Lam will map the data into administrative regions and analyze the data geographically (state- and county-level comparisons); and Curran and Beyer will collect policy and media source trustworthiness data and analyze it with other contextual information, such as media framing. Data will be collected and analyzed in Louisiana and Washington.They will collect three waves of Twitter and associated data to compare sentiment and language use patterns among users and analyze how these characteristics evolve through the recognition of the emergency, the peak of the crisis, and the mitigation of the pandemic in the U.S. The tweets and entities will be classified for relevance (individual, organization, or bot) with derived age and location. The tweets will be associated with daily disease-specific rates and annual demographic and socio-economic information.“Data about the surrounding information context, including reporting trends and framing of the crisis, sources of health information, and information-seeking behavior about COVID-19, will provide tools for assessing the validity and reliability of our inferences about the patterns of sentiment and language use,” Lee said. “This project will provide insight for targeting effective public messaging by public health and government officials during a crisis and ultimately improve disaster resilience.”Like us on Facebook (@lsuengineering) or follow us on Twitter and Instagram (@lsuengineering).​Josh Duplechain
LSU College of Engineering
225-578-5706
josh@lsu.edu

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