Quantiphi recognized for its ability to create an industrialized, IP-driven approach to building customized AI solutions and handling large-scale business transformations.
Quantiphi, an applied AI and data science software and services company, announced that it has been named an IDC Innovator in the IDC Innovators: Artificial Intelligence Services, 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.”
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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.
“We are proud to be named as an IDC Innovator for our approach to building AI-First Digital Transformation Engineering solutions and solving complex business problems for our clients across industries,” said Asif Hasan, Co-Founder, Quantiphi. “With a broad range of industry-focused solutions and end-to-end deployment capabilities, we continue to empower enterprises to manage the process of assembling, training, validating, operating and monitoring AI solutions at scale
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“Quantiphi’s AI solutions target horizontal workloads, such as contact center and document processing, as well as packaged solutions that leverage repeatable patterns and use cases across a broad range of industry verticals.”
“The company’s engagement model takes clients from ideation (“hack it”) to pilot (“prove it”) to production applications (“nail it”) to a factory-based model for AI solutions (“scale it”).”
“Quantiphi aims to deconstruct the “mythical data science unicorn” by combining competency in three areas to solve business problems: industry analysts, who orchestrate people, processes, and technologies; cloud/data engineers, who organize data, create data pipelines, and prepare data for modeling; and ML engineers, who provide deep learning and statistical ML modeling expertise.”
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