Moving Forward with Machine Learning for Cybersecurity

At Black Hat last week, you couldn’t pass a slot machine without some cybersecurity technology vendor crowing about machine learning or artificial intelligence. Yup, machine learning algorithms have great potential to help with security analytics and employee productivity, but this technology is in its infancy and not well understood.

Topics: Cybersecurity machine learning artificial intelligence

Google I/O Fascinates Developers, but How About CIOs?

Attending Google I/O you can instantly feel the inspiration and visually see the excitement from the developers. I quickly learned that long gone are my days programming COBOL!?!?! Creativity runs wild at the event and while it is easy to get excited about the innovation that Google splashes around, I try to snap a business lens on everything I see so I can start matching Google with the top IT and business priorities ESG captures in our research. This involves some creative thinking, but here it goes.

Let’s first start with the most creative piece--I need to give credit to Corey Latislaw for tweeting these fascinating and accurate notes. 

https://twitter.com/corey_latislaw/status/864940569843294208

Topics: google Enterprise Mobility artificial intelligence Google I/O

Microsoft Build: a Smarter Future Today

Microsoft Build is aimed at developers. From the presenters' dress code of jeans and tight polo shirts or T-shirts, this much is clear. The expectation is that attendees are here to learn to use a broad portfolio of Microsoft software and cloud resources to create new applications. The keynotes were a mix of genuinely inspiring, even life-changing possibilities and the lines of code that were used to make it happen.

A top-level theme was" cloud’s new edge," or rather the combination of an intelligent cloud with an intelligent edge. Since I've been writing for a while about how the battlefield for cloud isn't resource capacity per unit cost, but rather the tooling for integrated and assisted analytics, this idea wasn't a big surprise to me. See a few example blogs here and here and here

Topics: Cloud Computing Microsoft Data Management artificial intelligence Microsoft Build

Microsoft's Broad AI Strategy in 10 Tweets

This morning Microsoft hosted an analyst-oriented overview of select elements of the company's artificial intelligence strategy. Since they said it wasn't under a NDA, I'm happy to share that with you here. This really just scratches the surface (no pun intended) of their offerings around AI, machine learning, deep learning, and associated applications, enhancements, APIs, and development platforms. As noted in several blogs before, this will be the major battleground for the cloud service providers. It was high time Microsoft took the field and strutted their might. I'll have more to say on the topic after Microsoft Build next week.
Topics: Microsoft Data Management artificial intelligence

Big Data, Database, ML and AI Spending Trends: What You Need to Know

Psst...hey buddy, are you an IT professional? Maybe interested in big data, databases, data warehouses, BI, machine learning, and AI? Planning to invest this year? Have I got a sweet deal for you! I can tell show you what your peers are planning. Top trends. Surprise insights. Hot stuff, but in the sense of interesting, not stolen. Check out this little number:

61%

Topics: Big Data Data Management database artificial intelligence

AI & Machine Learning Take Center Stage


Live from New York, if just a bit Off Broadway, were the O'Reilly AI conference and Strata & Hadoop World shows last week. These events were fascinating as character studies of overlapping technology stars. AI is now the fresh faced celebrity, if a bit immature, raring to get a big break, while Hadoop has become recognized as always delivering a solid performance, but may be fading a bit in glamour.

Starting with the AI conference then. This was a stunningly cool event. The stuff being done with machine learning, deep learning, neural networks, etc., is incredible. A well-trained AI can accurately process rough inputs, analyze to build complex models, and predict all manner of outcomes. In an instant. Except it's all still rather hard to use and could benefit from some better packaging and integration with other IT technologies. If there is a shortage of general data scientists, I wonder how many people can really master machine learning as it's presented today. Can we say "user interface?" That aside, we are on the cusp of some truly remarkable things. Though AI may still struggle to do some tasks my 10-year old tackles effortlessly, at the same time it can process phenomenally more info and find hidden patterns. And it's fascinating how an AI thinks, perceiving the world in fundamentally different ways than us meat. This space is ripe for massive growth, if we can get the tech accessible to more than a handful of companies, universities, and government labs.

Topics: Hadoop Data Management O'Reilly Strata+Hadoop World artificial intelligence O'Reilly AI Conference

RIP, Marvin Minsky


Marvin Minsky, an artificial intelligence pioneer and co-founder of the M.I.T. Artificial Intelligence Lab, passed away on January 24th.

Artificial intelligence went into a period of reduced interest called the "AI Winter" after long being over-hyped. But more recently, AI has resurrected itself in different forms, finding its ways into everyday life through as self-driving cars or virtual assistants like the Amazon Echo, Google voice search, and Microsoft's Cortana. We must remember that Minsky's lab's efforts from the 1950's laid the groundwork for what we have today. 

Topics: Networking artificial intelligence

Networking: Intelligence Augmentation vs. Artificial Intelligence

I recently read the book Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots by John Markoff, a technology and science reporter at the New York Times. This is a good book that goes over the history of the development of automation in the 1950s and 1960s, and takes you to the current day where new robotic developments from Apple (Siri) and Google (driverless cars) put us in the another age of rapid change.

Topics: Networking network automation artificial intelligence