Enterprises Expect A Two-Year Timeframe For Machine Learning To Go Mainstream

DURHAM, N.C., and Cambridge, UKJuly 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.

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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.

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Infinia ML Named Machine Learning “Hot Vendor” by HfS Research

HfS Praises Infinia ML’s Focus on Business Value

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.”

Hot Vendor badgeThe 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.”

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Infinia ML Chief Scientist Among Most Prolific Researchers at International Conference on Machine Learning

Publications Make Infinia’s Larry Carin a Leader at the World’s Most Prestigious Machine Learning Conferences

Dr. Ricardo Henao, left, speaks to Dr. Larry Carin. Henao and Carin co-authored four papers at ICML.

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.

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Infinia ML Wins “Best Machine Learning Company” in 2018 AI Breakthrough Awards

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.

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The Infinia ML Opportunity for Software Engineers

Infinia ML engineers
Members of the Infinia ML engineering team have a totally casual, not at all staged conversation.

Why We Need You

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?

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Why We Love Living in the Triangle – And You Will Too

Major the Bull
Come to the Bull City – Durham, North Carolina!

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:

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Automation and the Future of Jobs

Machine learning and artificial intelligence can help automate workplace tasks. So what does that mean for the future of jobs?

Infinia ML CEO Robbie Allen says that while many jobs will be automated, “they’re the kind of jobs that should have never been done by a person in the first place.”

This is a section of Robbie’s talk at NC TECH’s 2018 State of Technology Conference (thanks to NC TECH for the video). Here’s a written version of this clip:

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Machine Learning’s Business Impact

CEO Robbie Allen recently spoke about the business impact of machine learning at Adobe’s Think Tank on The Future of AI in the Enterprise.

“I really focus on three areas where I think that machine learning specifically will have an impact,” he said.

“One is reducing costs, and by that I don’t mean that we’re displacing the workforce. What I mean by that is that there’s lot of jobs out there that were never intended for people to do. But the only option was for people to do them, because we didn’t have software that could it on their behalf. So I think there will be a lot of those types of jobs – repetitive – it’s not ideally suited for humans to do in the first place.”

“Second is increasing efficiency, and oftentimes you’ll hear about potentially given people superpowers in their job, where not only can they do their job, they can do it a lot faster, a lot better, and they can be much more productive.”

“And then the third are is achieving new breakthroughs, and this is something I think is going to be really powerful as it relates to what you can get out of machine learning. As a society we have blindspots that we’re not aware of. For any new breakthrough that occurs, that only happened because someone else didn’t think to do that. Machine learning gives us an opportunity to discover new patterns, new ways of working that weren’t obvious before, and so I think we’re going to be able to see all sorts of interesting new capabilities in the enterprise as it relates to that.”

During the talk, Robbie was clear about the need to focus squarely on solving real business problems:

“So I think especially  when it comes to the enterprise, it’s less about ‘can we properly define AI,’ and really what problems are we trying to solve,” he said.

“And it goes back to, what are the key differences now between what we can do now versus some of the vendors that we’ve seen before. And it’s the computing power, it’s the availability of data, and it’s the advanced algorithms that have been created.”

“And I think really focusing on what problems can you solve with that, that’s really where it’s at for the enterprise, much more so than ‘are we ever going to create AGI, artificial general intelligence? Are we going to have sentient beings?’ There’s no path for that in the research right now and so to me it’s not even really worth talking about.”

For Machine Learning, Data Comes First

CEO Robbie Allen recently spoke about the importance of data strategy at Adobe’s Think Tank on The Future of AI in the Enterprise.

“People hear about artificial intelligence and all this crazy stuff that it’s doing and so they think that it’s going to be this magical solution that solves all of their problems,” he said.

“In most cases, in my experience, it’s better to walk before you can run when it comes to this, especially if you’ve never done a machine learning style project before which requires a significant amount of data. You first have to to get your data strategy in place first before you can have an AI strategy.”

Later, Robbie spoke about a common data issue many enterprises may not be expecting: the high cost of getting data out of their systems.

“It’s likely that companies will spend just as much money on getting data out of their systems as they did to implement the systems to begin with,” he said.

“What I mean by that are ERPs, CRMs, all their databases. To get the data out of it in a format that’s useful for machine learning algorithms and other things is a nontrivial task.”

“And it turns out to be, in most cases, the long pole in the tent. That is, the hardest aspect of actually implementing a project is just to get the data. So that’s why we were talking about before, data strategy, when do you get it – it’s going to be difficult to do much in the space in the enterprise unless you have access to data in a format that makes it available to somebody to use in terms of implementing algorithms.”