Archive for the ‘Projects’ Category

insideBIGDATA_Guide_MfgI’m pleased to announce that I was contracted to research, develop and write a new technology guide “insideBIGDATA Guide to Manufacturing” sponsored by Dell and Intel. The goal for this Guide is to provide strategic direction for enterprise thought leaders in the manufacturing sector for ways of leveraging the big data technology stack in support of analytics proficiencies designed to work more independently and effectively in today’s climate of striving to increase the value of corporate data assets.

You can download a copy of the guide HERE.

GridGain_webinarI’m pleased to announce that my new technology guide is now available for download HERE. I was contracted to research, develop and write “insideBIGDATA Guide to Hyperscaling your SaaS Infrastructure” sponsored by GridGain Systems, Inc. The technology guide is targeted at Software-as-a-Service (SaaS) companies wishing to increase scalability and performance of their applications using in-memory computing with a specific emphasis on GridGain’s products and solutions.

[Update 3/31/2015: I moderated a webinar with GridGain on this topic. You can access the slides and audio HERE.]

 

Ask the Data Scientist Series

Posted: September 25, 2014 in Projects

Ask Data ScientistI really had fun writing the “Ask the Data Scientist” series over at insideBIGDATA. The weekly Q & A series ran from October 1, 2014 through the end of the year for a total of 12 articles. Each week there was a compelling question asked by one of our readers, and I provided a detailed answer. Intel is the sponsor for this feature. To find the articles just visit insideBIGDATA.com, and select “Ask a Data Scientist” from the Special Sections menu. Please enjoy and learn!

dell-logoI’m pleased to announce that I’ve been contracted to research, develop and write a new technology guide “insideBIGDATA Guide to Big Data for Finance” sponsored by Dell and Intel. The goal for the technology guide is to provide thought leaders in the financial services industry with an overview of how the big data technology stack can be applied to such areas as retail banking, credit scoring, back trading and testing, etc.

UPDATE! 9/22/2014 – My new guide to big data for finance was launched today. You can download the guide HERE. Enjoy!

gridgain-red-logoI’m pleased to announce that I’ve been contracted to research, develop and write a new technology guide “insideBIGDATA Guide to In-Memory Computing” sponsored by GridGain Systems, Inc. The technology guide will present a technology overview of the emerging field of in-memory computing and its importance to Big Data with a specific emphasis on GridGain’s products and solutions.

UPDATE! 9/25/2014 – My new guide to in-memory computing was launched today. You can download the guide HERE. Enjoy!

Tibco-logoI’m pleased to announced that I’ve been contracted to research, develop and write a new technology guide “insideBIGDATA Guide to Predictive Analytics” sponsored by TIBCO. The technology guide will present an overview of using R and TIBCO Spotfire for data science projects that include predictive analytics elements.

UPDATE! 9/2/2014 – My new predictive analytics guide was launched today. You can download the guide HERE. Enjoy!

FocusTRAINRI’m very pleased to announce that I am now on the Board of Advisers for a new Los Angeles based start-up company: Focus Ventures, Inc. My responsibilities will be to advise the technical team on areas relating to data science and machine learning. The company’s product TRAINR by FocusMotion is a leading-edge offering in the wearables space. TRAINR provides the user with top trainer designed programs while tracking workouts, automatically. TRAINR is a digital personal trainer that’s available on multiple platforms and can work with nearly every existing fitness device.

FocusMotion is a complete solution that makes it easy to track and analyze physical movements with wearable devices. A new hardware and OS agnostic SDK unlocks new consumer insights and behaviors.  The product performs all of the complex signal processing, algorithm, and device integration work so innovators can focus on making engaging applications. I am really looking forward to this new assignment!

 

launchpad-laI recently was recruited to be a mentor in Data Science for top accelerator Launch Pad LA. In the heart of Silicon Beach, Launch Pad LA is a highly ranked start-up accelerator for exceptional entrepreneurs. They invest $25k – $100k, offer free office space one block from the Santa Monica beach, and provide access to a massive network of mentors, investors and advisers. I will be mentoring 4 portfolio companies on how to gain benefit from data science in yielding more value from their corporate data assets. I am very much looking forward to this new assignment.

UPDATE! 3/27/2014 – I had a blast meeting with four young companies at Launch Pad LA: Focus: TRAINR, Cojoin Inc., Monospace, and Parachute. I found all of the founders I met with to be very bright and each business promising. I was able to convey how data science and machine learning could be applied to all. These are companies to watch out for.

insideBIGDATA_Guide_MLI’ve been contracted to research, develop and write a new technology guide “insideBIGDATA Guide to Machine Learning” sponsored by Revolution Analytics. The technology guide will present an overview of using R for data science projects that include machine learning elements. Watch for the guide in May 2014.

UPDATE! 5/13/2014 – My new machine learning guide was launched today. You can download it HERE. Enjoy!

General_assemblyI was asked to present a talk at the General Assembly Santa Monica location this coming Wednesday, February 5 – What is Data Science? I plan to cover all the basics of big data, data science and machine learning, including a discussion of many of the misnomers floating around these days such as the “unicorn” myth. The audience will be startup co-founders, CEOs, CTOs, analytics executives, product managers etc. to identify how data science can add business value & where to start with realistic & relevant data science projects. I’m looking forward to this!

My slides can be downloaded HERE.