As a Data Scientist, Do You Have to Start Worrying About Blockchain Any Time Soon?
In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a look into Blockchain technology and what it means for the data scientist. When you hear something repeated as frequently and as religiously as the term Blockchain is these days, you cannot help but wonder - am I immune to it's onslaught? [READ MORE...]
Featured Stories
Data Analytics, Algorithms & Machine Learning - Online Survey Results
This report, "Data Analytics, Algorithms & Machine Learning - Online Survey," was produced by Informa Engage on behalf of Dell EMC. The data was collected March 8, through March 26, 2018 from a wide cross section of industries. The goal was to investigate various issues around the current and future use of use of analytics, predictive analytics and machine learning, given the importance of these technologies in the enterprise today. [READ MORE...]
3 Key Infrastructure Considerations for Your Big Data Operation
In this special guest feature, AJ Byers, President and CEO, ROOT Data Center, suggests that if your organization is launching or expanding a Big Data initiative, it would be wise to keep the needs of real estate, power and up-time top-of-mind. Whether your Big Data operations ultimately reside on-premises, at a colocation data center, or in the cloud, infrastructure that is flexible, scalable, sustainable and reliable is ground zero for ensuring its success. [READ MORE...]
“Above the Trend Line” – Your Industry Rumor Central for 4/23/2018
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz. [READ MORE...]
Featured Resource
The Enterprise AI Promise: Path to Value
This interview survey from SAS explores enterprise readiness for artificial intelligence (AI). Respondents came from across EMEA and from a number of industries and sectors. Their views on enterprise AI and their organizations’ levels of readiness were diverse. Download the report, courtesy of SAS, that explores how enterprise AI can make companies more profitable and efficient, as well as study results that shows enterprise readiness to accept and adopt AI.
Industry Perspectives
2018 Will Bring Convergence of AI and Process Automation
In this special guest feature, Alain Gentilhomme, Chief Technology Officer at Nintex, explores the top AI and process automation trends we can expect to see throughout the rest of the year. One of the most useful developments in artificial intelligence this year will be the convergence of artificial intelligence and process automation. [Read More...]
How Big Data and Behavior Prediction are Shaping Automotive Dealerships
In this special guest feature, Johannes Gnauck, CEO and Co-Founder of automotiveMastermind, discusses how big data and behavior prediction are shaping automotive dealerships. Through the use of big data and behavioral analytics, it's possible to precisely target who is ready to buy and create personalized, micro-marketing campaigns designed to increase the probability of completing a sale. [Read More...]
Featured from insideHPC
- HPE Deploys “Genius” Supercomputer at KU LeuvenToday HPE announced a new supercomputer installation at KU Leuven, a Flemish research university consistently ranked as one of the five most innovative universities in the world. HPE collaborated with KU Leuven to develop and deploy Genius, a new supercomputer built to run artificial intelligence (AI) workloads. The system will be available to both academia […]
News from insideHPC
- ANSYS Software Powers Additive Manufacturing of Metal Components
- HPE Deploys “Genius” Supercomputer at KU Leuven
- Researchers using HPC to help fight Bioterrorism
- RCE Podcast Looks at MEEP Software for Simulating Electromagnetic Systems
- The Use of HPC to Model the California Wildfires
- The Machine Learning Potential of a Combined Tech Approach
- Earth-modeling System steps up to Exascale
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q2 2018
The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe. We're in close contact with a great many of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what's driving the success of our industry so we're in a unique position for publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by they way they're impacting the enterprise through leading edge products and services. We're happy to publish this evolving list of the industry's most impactful companies! [Read More...]
Top Skills Data Scientists Need To Learn in 2018
Data scientists are in high demand, taking the number 1 spot in Glassdoor's Best Jobs in America list in 2016 and 2017, with 4,84 position available and boasting a median base salary of $110,000. According to Jim Webber, Chief Scientist at Neo4j, the following is a short-list of the most essential tech skills for data scientists to adopt this year. [Read More...]
The Future of Smart Cities
In this contributed article, freelance human Avery Phillips discusses the evolution of smart cities from the perspective of how urbanscapes will be run more efficiently through the collection of big data and the use of connected IoT devices. Hospitals will be better able to care for their patients and transportation will run more smoothly than ever. Even though we don’t know what the future holds, we can still look forward to a smarter tomorrow. [Read More...]
How Netflix Uses Big Data to Drive Success
Netflix has over 100 million subscribers and with that comes a wealth of data they can analyze to improve the user experience. Big data has helped Netflix massively in their mission to become the king of stream. Our friends over at FrameYourTV developed the compelling infographic below that highlights Netflix's use of big data, specifically interesting statistics, how Netflix gathers big data, and how Netflix uses big data. [Read More...]
The Difference Between Data Science and Data Analytics
In this contributed article, tech writer Rick Delgado, examines the differences between the terms: data science and data analytics, where people working in the tech field or other related industries probably hear these terms all the time, often interchangeably. Although they may sound similar, the terms are often quite different and have differing implications for business. [Read More...]
