Artificial Intelligence and Machine Learning Archives - Page 3 of 3

Dec 11

Campbell's Soup I Full Suite (Andy Warhol, 1968)

SAP Hybris: IoT and Machine Learning in The Retail Supply Chain

By Joe Barkai Artificial Intelligence and Machine Learning, Internet of Things (IoT) One Comment

The World is Drowning in Data

The business world is drowning in data. And much of this data is generated, consumed, and managed by SAP enterprise software systems.

At the recent SAP Hybris Global Summit in Barcelona, SAP described how 76% of enterprise data worldwide flows through data pipes and databases managed by SAP enterprise software systems. According to SAP, its top 10 customers drive more revenue from these data systems than IBM and Oracle Demantra software combined

One of the clichés often heard in big data analytics conferences is “data is the new fuel of the enterprise” (although I don’t think I heard it said in Barcelona). But how, exactly, can organizations handle the torrent of data from the vast array of new and traditional sources remains a challenge. How to convert voluminous structured and unstructured data into business fuel that drives high-fidelity decisions and better business outcomes is quite murky and elusive.

SAP Hybris believes it has the answer. Read More

Oct 11

Teaching Learning Machines to Forget

By Joe Barkai Artificial Intelligence and Machine Learning No Comments

Many tasks in which humans excel are extremely difficult for robots and computers to perform. Especially challenging are decision-making tasks that are non-deterministic and, to use human terms, are based on experience and intuition rather than on predetermined algorithmic response. A good example of a task that is difficult to formalize and encode using procedural programming is image recognition and classification. For instance, teaching a computer to recognize that the animal in a picture is a cat is practically impossible to accomplish using traditional programming. Read More

Mar 15

Laughing Fool (Possibly Jacob Cornelisz van Oostsanen ca. 1500)

Artificial Intelligence or Natural Stupidity?

By Joe Barkai Artificial Intelligence and Machine Learning No Comments

Some years ago, I was involved in developing artificial intelligence (AI) expert systems. I built expert systems to troubleshoot failures in highly engineered systems such the General Eclectic T700 turboshaft engine, a commercial high-volume photocopier, a blood chemistry analyzer, and similarly complex and difficult to diagnose and repair systems.

Xerox Corp. was looking for an artificial intelligence solution to support field service operations. The finalists were my company and another diagnostic expert system company that used similar AI technology. Unable to determine which systems offered a better solution, Xerox decided to conduct a rigorous and objective evaluation by holding a double-blind face off between the two expert systems. Read More

Mar 11

Inflationary Technology Language

By Joe Barkai Artificial Intelligence and Machine Learning, Internet of Things (IoT) No Comments

I returned recently from a series of conference keynotes and lectures across 10 time zones. It is clear that the infatuation technology vendors and the media has with sophisticated-sounding technology terms is as strong as ever.

Fancy technology terms such as artificial intelligence (AI) and machine learning conjure up a spectrum of AI-based movie characters from the inanimate HAL in 2001: A Space Odyssey to the seductive feminine humanoids Samantha in Her and Ava in Ex Machina.

Even technology experts and software vendors that should know better, don’t miss any opportunity to add “machine learning algorithms” to their product descriptions whenever they can. Read More

Aug 15

If You Build It (Using Machine Learning) Will They Come?

By Joe Barkai Artificial Intelligence and Machine Learning, Design Reuse, PLM One Comment

Autodesk Claims Machine Learning Technology Will Transform 3D Engineering

Autodesk announced recently the availability of a shape-based search capability in A360. A blog article titled How Machine Learning Will Transform 3D Engineering describes the new capability, called Design Graph, as a “Google search-like functionality for the world of 3D models.”

Google search functionality is probably the wrong metaphor for 3D search. Web search is fundamentally text based, whereas searching for a part or a design requires a combination of textual and geometric terms and attributes, and sufficiently deep domain semantics. In fact, the blog article makes the very same argument later, describing Design Graph’s purpose to “identify and understand designs based on their inherent characteristics—their shape and structure—rather than by any labeling (tags) or metadata” (i.e. not Google-like).
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Artificial Intelligence and Machine Learning