Top Stories
Infinia ML Named Machine Learning “Hot Vendor” by HfS Research
HfS Praises Infinia ML’s Focus on Business Value
Infinia ML announced today that it had been named a Hot Vendor in the field of machine learning by HfS Research.
The HfS report notes Infinia’s “mission to link ML development to measurable business impact for its clients”, its “distinguished leadership team”, and its “dedication to research and innovation.” According to HfS, Infinia ML’s “experience, talent, and IP has earned it the HfS Hot Vendor tag.”
The report highlights Infinia ML client projects in contract analysis, pay benchmarking, ultrasound image identification, cancer detection, and more. HfS says its Hot Vendors, chosen via a five-step assessment process, “display truly differentiated offerings and out-of-the-box thinking that can be both inspiring and useful.”
HfS CEO and Chief Analyst Phil Fersht said the decision to name Infinia ML to the group was straightforward. “A lot of companies claim machine learning expertise but struggle to develop their talent in any relevant depth,” he said. “Infinia ML backs up that claim with research credentials, real-world experience, and a record of business impact. The firm brings a fresh, no-nonsense approach to ML development and directs its clients away from conducting mere ‘science experiments,’ refocusing efforts around building business value—growing revenues and driving down costs.”
Infinia CEO Robbie Allen celebrated the designation. “We’re thrilled to be recognized as a Hot Vendor by HfS Research,” he said. “We will strive to live up to the honor by helping clients leverage machine learning to redefine what’s possible.”
-
Finance2 days ago
FTSE 100 clocks weekly decline; personal goods shares biggest drag
-
Research Reports2 days ago
Terephthalaldehyde Market Set for Significant Growth from 2024 to 2031, Driven by Rising Demand in Key Sectors
-
Technology2 days ago
Factbox-Carmakers adjust electrification plans as EV demand slows
-
Investing2 days ago
European shares have worst day in a month as investors digest mixed US data