idc innovator
Quantiphi Named as an IDC Innovator in Artificial Intelligence Service
Quantiphi, an applied AI and data science software and services company, today announced that it has been named an IDC Innovator in the IDC Innovators: Artificial Intelligence Services, 2020 ( Doc # US45733220, December 2020) report. Quantiphi is one of just four companies featured in the report, which covers a selection of vendors that offer an innovative new technology or a groundbreaking business model, or both in artificial intelligence (AI) services. "AI has quickly evolved from a'nice-to-have technology' to a business imperative, driving enterprise demand for expertise from solution design through production at scale," said Jennifer Hamel, Research Manager for IDC's Worldwide Services team. "Quantiphi approaches the AI services market in distinct ways, partnering with its clients to apply complex AI techniques to solve real business problems." The report acknowledges Quantiphi's broad portfolio of repeatable IP and accelerators, and strong partnerships with major AI technology providers (e.g., Google, AWS, and NVIDIA) to assemble and scale AI solutions for clients in a variety of industries, leveraging a talent pool of industry analysts, cloud/data engineers, and ML engineers.
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IDC Names Four Artificial Intelligence -- Powered Automation Solution Providers in Asia/Pacific* as IDC Innovators for 2019
IDC has published a new IDC Innovators report titled, IDC Innovators: Artificial Intelligence--Powered Automation Solution Providers in Asia/Pacific (Excluding Japan), profiling four companies that provide artificial intelligence (AI)-powered automation solutions. The four companies are: Active.AI, Clobotics, Taiger, and X0PA. AI-powered automation solution or intelligent automation is much more than intelligent robotic process automation (RPA). It is a way to support, augment, and sometimes automate many aspects of a knowledge worker--s tasks to improve operational efficiency, increase robustness and flexibility, create space for the workforce to release their creative intelligence, and kick-start the man--machine collaborative learning cycle. The rise of intelligent automation has reduced the need for human oversight over many business processes, as more technology vendors work to re-engineer complex workflows and processes.
Five Providers of Computer Vision Software Named IDC Innovators
International Data Corporation (IDC) recently published an IDC Innovators report profiling five companies that offer compelling and differentiated computer vision software. The five companies are Algolux, Deep Vision AI, Sighthound, ViSenze, and Umbo CV. Computer vision is an AI technology that allows computers to understand and label images. Use cases include video surveillance, driverless car testing, daily medical diagnostics, and monitoring the health of crops and livestock. AI is used for pattern recognition and learning techniques driven largely by machine learning (ML) and deep learning (DL) algorithms that bring visual understanding capabilities in a growing variety of hardware and software applications.
Five Providers of Conversational AI Software Platforms Named IDC Innovators
FRAMINGHAM, Mass., July 2, 2018 – International Data Corporation (IDC) today published an IDC Innovators report profiling five technology providers that are considered key emerging vendors in the conversational AI platforms market. The five companies named as IDC Innovators are Personetics, Kore.ai, Conversational AI platforms are used to build applications that answer questions, provide advice and/or recommendations using natural language processing and other dialog related technologies. The market for intelligent conversational assistance is growing rapidly, fueled by the use and acceptance of consumer tools like Google Assistant, Apple's Siri, and Amazon's Alexa. To date, there are dozens of supplier companies seeking to address these emerging interface opportunities with new companies emerging in the marketplace every day.
Vancouver-based Finn.ai Selected as a Canadian Artificial Intelligence (A.I.) Innovator T-Net News
New Report Highlights how Finn.ai Vancouver, BC, February 1, 2018--(T-Net)--Finn.ai, developers of an AI-powered virtual assistant built for personal banking and financing, announced that it was selected this month as an IDC Innovator by the International Data Corporation (IDC) Canada. Issued this week the IDC Innovators: Canadian Artificial Intelligence (IA) Enabled Customer Interaction Solutions 2017 report recognizes five Canadian AI-enabled vendors with revenue under C$100 million. As an IDC innovator, Finn.ai was reviewed and selected based on the following criteria: "Financial well-being relies on access to information and the ability to act on it. Finn.ai allows banks to simplify and improve access to financial services for their customers, using an interface that is intuitively familiar to consumers - natural language conversations," said Jake Tyler, CEO, Finn.ai. "This acknowledgment from IDC, a trusted source for global marketing intelligence, demonstrates that we are playing an important role in building financial literacy across a broad spectrum of people and communities around the world."
IDC Innovators for the 2016 Machine Learning-Based Text Analytics Market
WIRE)--International Data Corporation (IDC) has published a 2016 IDC Innovators report recognizing pioneering players in the machine learning-based text analytics market. IDC Innovators are companies with under 50M in revenue that offer an inventive technology and/or groundbreaking new business model. Kira Systems, Loop AI Labs, NetBase, and Taste Analytics were all named as IDC Innovators in the machine learning-based text analytics market for 2016. "Organizations are continually looking to improve their handling of data, especially unstructured data, given the explosion of information that is available via the Internet today," said David Schubmehl, Research Director, IDC's Content Analytics, Discovery and Cognitive Systems research. "Understanding and utilizing this human-generated data is a significant challenge for most organizations and the use of machine learning based text analytics is rapidly becoming the best approach to dealing with this type of data."
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