Delivering on the Promise of AI and ML at Dell Technologies World 2018

We’re off and running at DTW 2018. As expected, there’s been a whole slew of announcements, but for this blog I’ll be focusing on data analytics, specifically AI and ML. Dell EMC is starting to weave a very effective story across all of their product lines, between their server, storage, and workstation divisions, their Ready Solutions, and Services (think pillars of the modern data center).

Topics: Data Management machine learning artificial intelligence dell-emc Dell Technologies World

And the Current Number #1 Challenge with HCI Is…

While HCI offers several impressive benefits related to simplicity, manageability, scalability, and cost savings, challenges still exist. ESG asked over 200 IT pros who have implemented HCI what their top challenges are since implementing HCI in their organization and the most commonly cited challenge was difficulty finding the root cause of issues. And when you think about it, it makes sense.

Topics: Cisco VMware nutanix machine learning artificial intelligence HPE dell-emc hyperconverged HCI

Pure Storage: Empowering Artificial Intelligence

Today, Pure Storage announced the release of AI-Ready Infrastructure (AIRI), a major move in serving the artificial intelligence (AI) and machine learning space. The newly announced solution combines Pure Storage FlashBlade and NVIDIA DGX-1 technology. According to Pure Storage, it is the industry’s first integrated AI-ready infrastructure for deploying deep learning at scale.

Topics: machine learning artificial intelligence pure storage All-Flash Array NVIDIA

Thoughts from IBM Think 2018: Bridging IT Transformation and Digital Transformation 

Think 2018 was a massive culmination of multiple and previously separate IBM events (Edge, InterConnect, World of Watson, Amplify, and Connect). While I was never able to get an official headcount, estimates were north of 30,000. And attendees nearly overflowed the Mandalay Bay Convention Center.

Topics: IBM IoT flash storage artificial intelligence Blockchain Public Cloud Service IBM Think

Artificial Intelligence and Machine Learning - More Than Just Buzzwords

The traction over the last few years in the artificial intelligence (AI) and machine learning (ML) space is remarkable, and I’m not just talking about consumer-based products like self-driving cars, or virtual assistants like Google Assistant, Alexa, or Siri. While those products get the headlines, AI/ML is rapidly spreading across the enterprise IT space. I feel like I can’t go a day without a company mentioning AI or ML as part of their product or forward-looking strategy. It’s not just for crazy, sci-fi predictive analytics projects in a bunker somewhere. While that definitely still happens, AI and ML (and deep learning too) are being used across all aspects of IT: big data, cloud, IoT, security, infrastructure, systems management, etc.

Topics: Data Management machine learning artificial intelligence big data and analytics

Artificial Intelligence and Cybersecurity: The Real Deal

If you want to understand what’s happening with AI and cybersecurity, look no further than this week’s news. On Monday, Palo Alto Networks introduced Magnifier, a behavioral analytics solution that uses structured and unstructured machine learning to model network behavior and improve threat detection. Additionally, Google’s parent company Alphabet announced Chronicle, a cybersecurity intelligence platform that throws massive amounts of storage, processing power, and advanced analytics at cybersecurity data to accelerate the search and discovery of needles in a rapidly growing haystack. 

Topics: Cybersecurity SIEM machine learning artificial intelligence SOAPA

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