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

Machine Learning: Security Product or Feature?

Around 2010, security analytics technologies started to integrate big data science and open source technologies like Hadoop (and HDFS), Pig, Mahout, etc. The goal? Ingest, process, and apply new types of algorithms to security data to supplement human intelligence for finding needles in growing haystacks of security data. The US Department of Energy was an early pioneer in this area with a project called Orca from the Oak Ridge National Lab. 

Topics: Cybersecurity SIEM security analytics machine learning UEBA

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

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

2018 Goodbye Password....Hello Bots and Machine Learning

2018-mobility-predictions.jpgBusinesses can no longer compromise security for user experience and should look to strengthen security while improving productivity. Doug Cahill and I share our insights into how companies have the opportunity to improve their security posture while embracing mobility.

Topics: Cybersecurity machine learning Enterprise Mobility 2018 Predictions

A Few Cybersecurity Predictions for 2018

Over the past few weeks, dozens of people have reached out to me with their cybersecurity predictions for 2018. Some prophecies are fairly obvious (ransomware will continue in 2018) while at the other extreme, some people are pushing doomsday forecasts aimed at garnering press hits (i.e., the US will suffer a cyber-attack in 2018 that knocks out the power grid for a substantial amount of time).

Topics: Cybersecurity SIEM cloud security machine learning SOAPA GDPR

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

Data Makes the World Go Round...

...Or at least data can be used to model the Earth's rotational vectors and predict trajectory locations over time. A few things have got me thinking about the world of data and the data of the world. First, I watched "Hidden Figures" with my girls last night. Amazon's machine learning models accurately predicted that we would like this film and positioned it strategically on our suggested titles list. There was a lot to like, including worthy themes around:

  • Math, science, engineering, analytics, and computers.
  • Women earning respect for their ability to excel in these areas.
  • Minorities demonstrating that diversity in teams improves outcomes.
  • Healthy patriotism in the context of advancing human potential.
  • Strategic government funding of research and innovation.
  • and Kirsten Dunst (assuming that her inclusion here doesn't undermine all my previous points).
Topics: Big Data Data Management machine learning data set