Innovative Undergraduate Instruction Will Equip Future Engineers, Entrepreneurs and Startups to Strategically Leverage Machine Learning in Business
DURHAM, N.C. – September 5, 2018
Infinia ML, an advanced machine learning company that delivers automation solutions and predictive analytics to enterprise businesses, today announced a partnership with Duke University’s Pratt School of Engineering to integrate machine learning into the school’s entrepreneurial instruction.
Starting in the 2018-2019 school year, engineering students will attend lectures on machine learning from Infinia ML leaders including CEO Robbie Allen and executive chairman Mike Salvino. In addition, Infinia ML will work with Duke startups to implement machine learning in their businesses. Infinia ML’s endeavors will support the work of Steve McClelland, Duke Engineering’s entrepreneur in residence leading undergraduate entrepreneurship efforts.
In a recent survey by HFS Research, 86% of data science decision makers across the Global 2000 said that machine learning is impacting their industry today. But leaders want to be smart about how they forge ahead. When respondents were asked for their most important machine learning proof points, the number one concern was security.
Here at Infinia ML, security is a top priority. Our product group works closely with our Chief Information Security Officer to establish and reinforce a secure foundation for everything we build.
In this post, we’ll explore a blueprint for practicing machine learning in a way that protects your business and your data. Let the Five Ws and Three As of machine learning security be your guide.
DURHAM, N.C., and Cambridge, UK, July 31, 2018 – Enterprises anticipate that machine learning (ML) will permeate and influence the majority of business operations. Over half (52%) of enterprises expect this impact in the next two years, according to a new research study unveiled today by HFS Research in partnership with Infinia ML.
HFS’ new report, “How to Avoid Your Looming Machine Learning Crisis,” finds only 29% of data science decision makers across the Global 2000 believe machine learning is overrated. On the contrary, the majority (86%) believe machine learning is impacting their respective industries.
DURHAM, NC, July 17, 2018 – 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 Hot Vendor 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.”
Publications Make Infinia’s Larry Carin a Leader at the World’s Most Prestigious Machine Learning Conferences
DURHAM, N.C., July 10, 2018 – Infinia ML, an advanced machine learning company, announced today that its Chief Scientist, Larry Carin, Ph.D., is the second-most published researcher at the Thirty-fifth International Conference on Machine Learning (ICML), which begins today in Stockholm. Carin published seven papers, second only to the eight from Tencent Labs’ Tong Zhang.
ICML, which attracts research from institutions like Google, Stanford, Microsoft, MIT, and Facebook, is widely considered one of the world’s most prestigious machine learning gatherings. Another is the Conference on Neural Information Processing Systems (NIPS), where Carin was the most-published researcher in December 2017.
DURHAM, N.C., June 26, 2018 – Infinia ML, an advanced machine learning company that delivers transformative automation solutions and predictive analytics to enterprise businesses, today announced that it has been selected as the winner of the “Best Machine Learning Company” award from AI Breakthrough, an independent organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market today.
“We’re honored by this award, which affirms our focus on making real business impact with machine learning,” said Robbie Allen, CEO at Infinia ML. “We’re especially grateful to our clients, whose data and domain expertise make our work possible. Their trust empowers us to reduce costs, increase efficiency, and achieve new breakthroughs.”
The mission of the AI Breakthrough Awards is to honor excellence and recognize the innovation, hard work and success in a range of AI and machine learning related categories including AI platforms, Deep Learning, Smart Robotics, Business Intelligence, Natural Language Processing, industry specific AI applications and many more. This year’s program attracted more than 2,500 nominations from over 15 different countries throughout the world.
Are you a software engineer that is ready to challenge yourself and build machine learning products? Do you want to work on the cutting edge of technology with highly collaborative colleagues that have your back?
We’re proud to be building a world-class machine learning company in one of the country’s most desirable regions: North Carolina’s Research Triangle. There’s a reason companies like Amazon and Apple are seriously thinking about moving to the neighborhood.
Here are a few reasons why we love it here – and why we think you will, too: