AI World Conference Moderator

Posted: October 6, 2016 in Uncategorized

Aai_world1s Managing Editor for, I’ve been invited to moderate a panel for AI World Conference & Expo in San Francisco, November 7-9, 2016. The topic of the panel is “High Performance Computing for the AI Ecosystem,” and includes several industry luminaries from high-profile companies like NVIDIA, Baidu Research, and Facebook. I really enjoy attending shows like this one, at the bleeding-edge of technology innovation. I always learn a lot and it serves to help direct my own research and consulting work.


AI World is the nation’s largest AI business conference with more than 90 speakers (including 75+ CxO’s) and 40+ sponsors and exhibitors to help attendees learn how to successfully harness intelligent technologies to build competitive advantage, drive new business opportunities and accelerate innovation efforts.

lafashion_paperOver the past year, I’ve been working on a new research project that culminated with a whitepaper in support of the Los Angeles fashion industry – “Los Angeles Fashion Industry: A Data Science Perspective.” The work was done in collaboration with LA’s premiere fashion mart, The New Mart. The paper is in response to numerous stories found in the local apparel industry trade press that held the sentiment that LA fashion had seen better days and was on a downward slide. We decided to use privately procured and publicly available data sets to find a single truth surrounding this matter. The whitepaper’s position is quite the opposite – LA fashion is a Los Angeles mainstay and continues on an upward trajectory. See for yourself by downloading the paper HERE.


I am looking forward to conducting two sessions for the upcoming Data Modeling Zone conference on Oct. 17-19 in Portland, OR. My half-day session “Data Science Primer” is Tuesday morning, Oct. 18 and my short session “Machine Learning Primer” is Wednesday morning, Oct. 19. My book publisher, Technics Publications is the host of the event and I will be doing a book signing during the show.


I’d like to announce that I will be making a webinar presentation for the upcoming “Analytics for All: The Right Start” series sponsored by All Analytics. My topic will be “Finding Data Sources, and Ensuring That It’s Good Data.” Please join me on June 9, 2016 at 2pm EDT. I’m looking forward to talking about this important topic that is on the minds of all data scientists.

All Analytics Academy

GPU Technology Conference 2016

Posted: May 5, 2016 in Events

DDG_badgeI was very pleased to attend the GPU Technology Conference 2016 as the guest of host company NVIDIA on April 4-7 in Silicon Valley. I didn’t know much about NVIDIA going in, so I was eager to learn what the company brought to the table for data science and machine learning. I was delighted to find that the overarching theme of the show was “deep learning” and all the underlying technologies and applications. It was clear that NVIDIA is “all in” for deep learning and its pursuit of becoming the one generalized algorithm where domain experts aren’t needed for achieving superhuman results. I was impressed enough with the experience that I wrote a comprehensive Field Report for my readers over at insideBIGDATA to give them an in-depth perspective for what I saw.

After the GTC conference, I’m sold on deep learning coupled with GPU technology. I met a bunch of cool vendors in this space and I intend to stay in touch and utilize their products and services in future projects.

Analytics Expert at Wikistrat

Posted: March 30, 2016 in Projects

I recently was appointed to the Analytic Community Experts group for crowd sourced consultancy Wikistrat. Based in Washington DC, Wikistrat operates a global network of over 2,000 subject-matter experts working collaboratively via an online platform to help decision-makers identify solutions to complex strategic challenges. Here, I will offer my insights in data science, machine learning and big data to assist in building the wisdom that is essential for dealing with an increasingly complex world.


insideBIGDATA_Guide_Streaming_Analytics_featureI’m excited to announce the availability of a new technology guide that I was contracted to research, develop and write – “insideBIGDATA Guide to Streaming Analytics” sponsored by Impetus Technologies, Inc.

Many enterprises find themselves at a key inflection point in the big data timeline with respect to streaming analytics  technology. There is a huge opportunity for direct financial and market growth for enterprises by leveraging this technology. The goal of this guide is to make sense of the vendor and technology landscape. It’s important to  choose a platform that will supply a proven and pre-integrated, performance-tuned stack, ease of use, enterprise-class reliability and flexibility to protect the enterprise from rapid technology changes.

You can download a copy of the guide HERE.