Opera-Solutions-LogoI recently was awarded an extended contract with Opera Solutions to continue as an industry analyst and contributor for their blog SignalCentral: The Hottest Spot for Big Data Science. I will be writing on a broad range of topics including big data, data science, machine learning, AI, and deep learning. Opera Solutions is a global provider of advanced analytics software solutions that address the persistent problem of scaling Big Data analytics. The company has over 175 data scientists on staff. My original announcement was on March 31, 2014. I’m very pleased to continue my work with this leading consulting group.

mapr-logo-new-2014_featureI’m pleased to be invited to speak at an upcoming tech event here in Los Angeles: Big Data Everywhere sponsored by MapR. Big Data Everywhere is a one-day conference focused on big data technologies that brings together users and developers to share their experience via technical sessions and user success stories. I will be presenting a session on “IoT Analytics.”

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The event is on Dec. 8, 2016 from 8am to 3:30pm in Santa Monica (Silicon Beach). Tickets are available HERE.

I will also be presenting the night before for MapR’s “An Evening of Digital Transformation” along with SVP Data Applications Jack Norris. This event takes place on Dec. 7 from 4-7pm in Newport Beach. Register HERE.

insidebigdata_guide_healthcare_lifesciences_dell_emc_featureI’m excited to announce the availability of a new technology guide that I was contracted to research, develop and write – “insideBIGDATA Guide to Healthcare & Life Sciences” sponsored by Dell EMC.

The healthcare and life sciences industries historically have generated vast amounts of data. These large volumes of data hold the promise of supporting a wide range of medical and healthcare tasks, including clinical analytics and decision  support, patient profiling, disease surveillance, regulatory and compliance requirements, scientific research, and many  others. Data in healthcare and life sciences is expected to grow exponentially in the coming years and will be beyond the  capability of the traditional methods of data management and data analytics. This new guide details this upward trajectory for enterprise thought leaders.

You can download a copy of the guide HERE.

AI World Conference Moderator

Posted: October 6, 2016 in Uncategorized

Aai_world1s Managing Editor for insideBIGDATA.com, 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.

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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.

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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