Fidest – Agenzia giornalistica/press agency

Quotidiano di informazione – Anno 31 n° 259

Posts Tagged ‘artificial’

Punchh Launches Deep Learning and Artificial Intelligence

Posted by fidest press agency su domenica, 19 maggio 2019

Punchh, the leader in digital marketing solutions for physical retailers, today announced the launch of Punchh Deep Sentiment Analysis. The new product allows brands to extract valuable insights from customer reviews using Punchh’s natural language comprehension engine built with industry-leading deep learning and artificial intelligence.Punchh Deep Sentiment Analysis integrates seamlessly with the Punchh Marketing Cloud, offering real-time descriptive and predictive analytics in a user-friendly dashboard with one-click navigation. Its natural language processing model achieves human-level performance, defined as more than 93 percent accurate, and features multi-language support.
Punchh is the world leader in innovative digital marketing products for physical retailers, combining AI and machine learning technologies, mobile-first expertise, and omnichannel communications designed to dramatically increase lifetime customer value. Punchh offers partners access to real-time consumer information via a live dashboard, enabling them to create and launch campaigns, target specific user segments and review guest feedback. Marketers can connect with customers across any channel through loyalty, offers, ordering, payments, feedback, surveys, gift cards, games and more. More than 160 global enterprise brands rely on Punchh to grow revenue by building customer relationships at every stage, from anonymous to loyalist.

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New Artificial Intelligence Pipe Welding System Launching at OTC 2019

Posted by fidest press agency su giovedì, 2 maggio 2019

The toughest welds to make are full penetration, single sided, V butt, pipe welds. Historically, ARC Specialties, a Houston-based developer of welding solutions, declined these jobs because joint fit-up was never repeatable. “Only human welders with a ‘golden arm’ able to compensate for variation in root openings, weld center lines, and groove volumes could handle this challenge,” says Dan Allford, President of ARC Specialties. “With the industry facing labor shortages, we decided to develop an intelligent machine with complete knowledge of pipe welding, with full motion and welding control.” The Artificial Intelligence Pipe Welding System (AIPW) incorporates the 6-axis UR5 collaborative robot arm from Universal Robots to carry out the challenging welds. “The UR5 now becomes our ‘golden arm’,” says Allford. “The UR5 is small enough to be portable yet still allows full freedom of motion for both the laser scanner and welding torch. Being collaborative the robot is able to safely work in close proximity to humans.” The AIPW officially launches at ARC Specialties’ booth 705 at the Offshore Technology Conference held in Houston, TX, May 6-9. Stuart Shepherd, Regional Sales Director of Universal Robots’ Americas division, is delighted to see the UR5 power ARC’s AIPW system. “This implementation underscores our collaborative robots’ ability to handle heavy-duty processing tasks that demand both high precision and real-time adaptability,” he says. “We’re excited to share this solution with the oil and gas industry.” The AIPW pre-scans the root opening (gap) using a 2D laser, then uses the data to generate the robot path and welding parameters. Gap variations are compensated for with changes in oscillation, torch position, travel speed and welding conditions. The UR5 positions the torch over a tack weld to start the arc to insure 100% root weld acceptance. Fill and cap pass programs are optimized to fill the groove using user selectable weave or stringer bead welding techniques. The AIPW uses the Miller Auto Continuum welding power supply to weld the root with Regulated Metal Deposition (RMD), then switches to pulsed spray for the fill and cap passes. This combination of Gas Metal Arc Welding techniques maximizes welding productivity while producing X-Ray quality, full penetration pipe welds.The AIPW follows two other successful welding solutions featuring Universal Robots developed by ARC Specialties; the MIG welding SnapWeld and the plasma cutting SnapCut. SnapWeld just became the first product ever to win New Equipment Digest’s Innovation Award two years in a row.

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Published a case study about Evisort, an Artificial Intelligence

Posted by fidest press agency su domenica, 2 dicembre 2018

Columbia Business School data scientist Professor Daniel Guetta, Director of the Business Analytics Initiative at Columbia Business School and Columbia Engineering, has published a case study about Evisort, an Artificial Intelligence (AI)-enhanced document management and data analytics solution for contracts developed by Harvard Law and MIT researchers. Guetta begins teaching the Evisort case study today in a new Business Analytics MBA class, the latest in Columbia’s growing data- and analytics-focused offerings for MBAs. The case study, entitled: “Evisort: An A.I.-Powered Start-up Uses Text Mining to Become Google for Contracts,” will be joined by a technical case study counterpart in the near future.
Guetta describes Evisort as a compelling, versatile solution for AI-driven contract data mining, with strong core utility for lawyers. He notes that, in addition to their significant usefulness for attorneys, contract analytics also have vast mainstream potential to assist a wide range of corporate professionals in finance and operations. Guetta also acknowledged that artificial intelligence techniques such as those used by Evisort could also be used to harvest data from many types of business documents in addition to contracts.“Contracts are the scaffolding of the modern company,” says Guetta. “Every department and process within an organization is ruled by contracts including legal, employment, supply chain, pricing, inventory, and more. Extracting data from contracts is not only of paramount importance to lawyers in an organization, but it also has a much more enterprise-wide, holistic reach with infinite applications.”
Guetta continues, “Extending far beyond legal tech and contracts, contract-focused business intelligence solutions can form the basis of hundred-million-dollar savings for corporations because contracts contain so much essential corporate data. Text mining drastically reduces the need for manual data searching, reporting and human reading of contracts except in the most complex cases. Evisort is particularly impressive because it demonstrates both the power and limits of AI. Even when human review is necessary, Evisort provides a suite of non-AI-enhanced tools to go the last mile if needed and reduce review time significantly.”Evisort CEO Jerry Ting and COO Jake Sussman were Harvard Law School students when they co-founded the company in 2016 with CTO Amine Anoun, then a graduate MIT student. All three men have since graduated and are now full-time executives at Evisort. Evisort is backed by leading venture capitalists including Amity Ventures and Village Global which has investors like Jeff Bezos, Mark Zuckerberg, and Bill Gates.Ting explains, “You can break down a company into its entire value chain by looking at its contracts…a business intelligence platform centered around contracts can become a business intelligence platform for the whole company, from operations, to supply chain, to advertising. Evisort has unlimited potential for corporations and law firms to mine any type of data.”
Guetta’s Business Analytics class at Columbia Business School introduces MBAs to advanced topics in artificial intelligence. This class is the latest in a series of data- and analytics-focused classes at the business school, including classes on databases, Python, R, and applied data science. The Columbia Evisort case study is now available on the Columbia Caseworks website here.

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