Archive for the ‘Projects’ Category

insidebigdata_guide_dl_aiI’m very pleased to announce the availability of a new technology guide that I was contracted to research, develop and write – “insideBIGDATA Guide to Artificial Intelligence & Deep Learning” sponsored by NVIDIA.

This guide to artificial intelligence explains the difference between AI, machine learning and deep learning, and examines the intersection of AI and HPC. The guide includes a special section highlighting the results of a new insideBIGDATA audience survey to get readers thoughts about how they see AI, machine learning and deep learning for their own companies. The guide provides some of the survey results including numeric results, data visualization, and interpretation of the results.

You can download a copy of the guide HERE.

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.

Here is an on-going list of blog post written on behalf of Opera Solutions:

7 Steps to Prepare for Data Science Adoption

AI, Machine Learning, and Deep Learning Explained

Ensuring Predictive Analytics Success with Data Preparation & Quality

AI: Why Now? An Old Technology Grows Up Fast

 

 

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.

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.

 

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.

Wikistrat

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.

DemoDay2_DanI was pleased to present last evening at the Grid110 Demo Day hosted by The New Mart, LA’s premiere fashion mart in DTLA. Grid110 is a new start-up business accelerator in partnership with the Office of the Los Angeles Mayor. My topic was putting a new face on the LA apparel industry using data science methodologies. My analysis used data sets from the Los Angeles Open Data repository. I’m a big proponent of government open data resources with the goal of improving the lives of citizens in ever more data-driven cities.

My presentation is provide below. Check out the data visualizations especially the geospatial data analysis clusters showing business starts for the past 10 years across the various industry codes that constitute the LA apparel industry. Moving forward, I will be collaborating with Grid110 in 2016 to publish a new Fashion Tech industry report, develop a new Shiny app, and collect data points for a new Fashion Tech sector database. Exciting stuff!