In this contributed article, Samuel Lim, CEO & Co-founder at Reebonz.com, discusses data’s role in opening up luxury to a broader market: aka The Chanel Effect.
In this contributed article, technology writer and blogger Kayla Matthews provides 4 pros and cons of the medical IoT. IoT has the potential to change the medical industry from the ground up, though time has not yet determined if that change is going to be a positive or negative one.
I recently caught up with Paulo Sampaio, Data Scientist at EDITED, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Paulo and his team are applying neural networks, machine learning and other models to analyze over 520 million products in real-time across 42 countries to make gradual distinctions in clothing styles, sizes and categories.
In this special guest feature, Hicham Oudghiri, CEO and Co-Founder at Enigma, discusses how data analysis as a tool for solving problems requires an understanding that the answer lies within the data set, either in the form of an insight or actionable anomaly. As businesses turn to analytics more to solve their everyday issues, it is important to understand what data can and can’t do, and to understand how to identify which data sets in a sea of data can help solve the problem at hand.
In this special guest feature, Carla Leibowitz, Head of Strategy and Marketing at Arterys, discusses how deep learning tools can aid physicians in determining a patient’s condition more quickly and accurately and what promise this holds for personalized care.
In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning for Artificial Intelligence. “Recently acquired by Hewlett Packard Enterprise, SGI is a trusted leader in technical computing with a focus on helping customers solve their most demanding business and technology challenges.”
It is becoming more and more apparent how data analysis is driving e-commerce revenues. And this growing importance has forced e-tailers and e-commerce firms to hire more data scientists in order to better understand how customer engagement impacts revenue and sales. This assessment comes from SOASTA, the leader in performance analytics, who reveals that data analytics is important in all aspects of the organization – from digital transformation to digital performance management.
SOASTA offers five ways data analytics will storm the stage in 2017.
In this special guest feature, Dan Wilmot, Sr. Architect at Pyramid Analytics, explores how to unlock opportunities previously hidden within the depths Fantasy Football data.
In this special guest feature, Ed Cuoco is the Director of Data Science at The Weather Company, takes a look at big data from the perspective of the utility company and how they can no longer serve their own or their stakeholders’ interests without smarter insights at scale and in real time.
In this contributed article, tech writer Rick Delgado, discusses how the retail world is jumping on the big data analytics bandwagon. Analytics are being used at every stage of the buying process — from predicting popular products to pricing and figuring out what to sell to customers next. Retailers aren’t holding back on what big data can do for them.