Although it’s obvious the advantages artificial intelligence (AI) can bring to alleviating enterprises’ pain points, to get to that place takes a massive effort. For one — as highlighted by the Pittsburgh, Pennsylvania AI startup Petuum —
Today’s artificial intelligence solutions tend to be specialized in specific applications and functions, and rely on maintenance by a select few developers. They are talent-intensive, expensive, difficult to reproduce, and overall unsustainable. As a result, AI currently remains inaccessible to most organizations
The above highlights that it’s not as easy as it seems to implement AI in the workplace, as there are several obstacles in the way before you can get any deep tech approach up and running.
So, back to Petuum, the caped crusader in this story, founded in 2016 by Eric Xing, Qirong Ho and Liz Yi, a combination of scientists and professors from Carnegie Mellon University, whose “Composable Platform for Automatic and Scalable MLOps transform your MLOps from craft production into a repeatable assembly-line process.”
And the proof of the startup’s IP is admissible, as Petuum was named a 2018 Technology Pioneer by the World Economic Forum, one of only 61 start-ups in the world to be honoured in that way.
Want more validation? The $108 million in outside funding Petuum has raised over two rounds should convince you the startup’s offering is the real deal.
Designed with the customer in mind, the Petuum Enterprise AI Platform key benefits include its:
• Infinite Extensibility
• Maximized Productivity
• Minimized Cost and Time to Value
The Petuum Enterprise AI Platform works by first data wrangling, which is the process of cleaning and merging disordered and complex data sets so that it is easily accessible. After this has been done, model building and training are executed before it is ready to deploy. When all this is completed, the platform can monitor and maintain workflows.
The three Co-Founders all have something special about them, too:
Eric Xing is the first of these. Executive Chairman and Chief Scientist at Petuum, Xing is also a Professor of Computer Science at Carnegie Mellon University.
Xing completed a Ph.D. in Molecular Biology and Biochemistry from the State University of New Jersey, and a Ph.D. in Computer Science from the University of California, Berkeley. His main research interests are the development of machine learning and statistical methodology, and large-scale computational systems and architectures, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems.
Most recently Xing has been appointed the Founding President of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in the UAE. MBZUAI is the world’s first graduate-level, research-based AI university. Xing also currently serves or has served in the following roles: Associate Editor of the Journal of the American Statistical Association (JASA), Annals of Applied Statistics (AOAS), IEEE Journal of Pattern Analysis and Machine Intelligence (PAMI) and the PLoS Journal of Computational Biology; action editor of the Machine Learning Journal (MLJ) and Journal of Machine Learning Research (JMLR); member of the United States Department of Defense Advanced Research Projects Agency (DARPA) Information Science and Technology (ISAT) advisory group.
He is a recipient of the National Science Foundation (NSF) Career Award, the Alfred P. Sloan Research Fellowship in Computer Science, the United States Air Force Office of Scientific Research Young Investigator Award, the IBM Open Collaborative Research Faculty Award, as well as several best paper awards. Xing is a board member of the International Machine Learning Society; he has served as the Program Chair (2014) and General Chair (2019) of the International Conference of Machine Learning (ICML); he is also the Associate Department Head of the Machine Learning Department, founding director of the Center for Machine Learning and Health at Carnegie Mellon University; he is a Fellow of the Association of Advancement of Artificial Intelligence (AAAI), and an IEEE Fellow.
According to csrankings.org, Xing currently ranks as one of the top computer science (CS) professors worldwide, whose papers (in the most selective CS conferences of all disciplines) collectively have the highest (weighted) acceptance among all computer scientists in the US and global universities during 2005–2020.
The second Co-Founder is Qirong Ho, Petuum’s CTO. Ho holds a Ph.D. from Carnegie Mellon University. A Co-Founder and Co-Head of the original Petuum distributed machine learning operating system research team based at Carnegie Mellon University, Ho has provided key Artificial Intelligence and Machine Learning infrastructure solutions to technology, banking and telecommunications companies.
Ho was a Principal Investigator at the Institute for Infocomm Research, A*STAR, Singapore, and is an Adjunct Assistant Professor at the Singapore Management University School of Information Systems.
A recipient of the Singapore Agency for Science, Technology and Research Ph.D. fellowship and the SIGKDD Doctoral Dissertation award, Ho’s innovative research on distributed software systems delivers a new approach to running Artificial Intelligence and Machine Learning applications at Terabyte scales and beyond, up to hundreds of times faster than existing Big Data systems. He has published over 40 papers with over 1200 citations in the areas of distributed AI and ML systems, large-scale social network and social media analysis, latent space models, and Bayesian Nonparametrics.
Liz Yi is Petuum’s Chief Corporate Development Officer. Yi has been serving various roles at Petuum for fundraising, finance, communication, operations, etc. She also oversees business and operations in China and Japan after the initial setup. Prior to Petuum, Yi was Vice President of Tsinghua Education Foundation N.A. in the Bay Area, where she led fundraising and grant activities within the organization. Yi worked for Hina Group, a then investment banking startup focusing on cross-border transactions as Director of Business Development. She was also a Venture Partner of Shanghai Pudong Science and Technology Investment Co.
Yi earned her BS in Material Science and Engineering from Tsinghua University.
In an age when AI is seen as the go-to solution for workflow operations, Petuum’s platform looks like the obvious panacea to up productivity, lower costs while, at the same time, producing faster deliveries.