“Above the Trend Line” – Your Industry Rumor Central for 10/15/2018
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 M&A activity, people movements, funding news, financial results, industry alignments, customer wins, 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 Stories
Five Ways You’re Already Using Machine Learning: A Day with AI
In this special guest feature, Mark Scott, CMO at Apixio, highlights the prevalence of machine learning in everyday life and offers five ways you’re (probably) already using machine learning all without you realizing or thinking about it. [READ MORE...]
New Research Uncovers $500 Million Enterprise Value Opportunity with Data Literacy
According to a major academic study commissioned by Qlik®, on behalf of the newly launched Data Literacy Project, large enterprises that have higher corporate data literacy experience $320-$534 million in higher enterprise value (the total market value of the business). Corporate data literacy is the ability of a company workforce to read, analyze, utilize for decisions and communicate data throughout the organization. [READ MORE...]
The Big Data of Selling a Home
In this contributed article, freelance human Avery Phillips takes up the topic of using data analytics for real estate - selling a home. Using machine learning to crunch numbers and observe data, such as how homes are selling in an area, can greatly affect the buying and selling process. From setting prices to marketing, and even determining if you will be able to get a good mortgage, big data can streamline major parts of the selling process. [READ MORE...]
Featured Resource
Advancing the Financial Services Industry Through Machine Learning
As financial institutions look to be empowered through machine learning, they should first acknowledge the benefits, challenges, and considerations involved. Download the new insideHPC guide that is essential reading for anyone involved in the financial services industry, from those who are beginning to explore the potential of machine learning, to those looking to expand and maximize its use.
Industry Perspectives
How Does AI Training Work?
In this special guest feature, Charly Walther, VP of Product and Growth at Gengo.ai, discusses a topic of critical importance to machine learning and AI: training. He goes through the three stages: training, validation, and testing and also points out the importance of data quality. [Read More...]
Are Data Lakes Just Dumping Grounds?
In this special guest feature Stan Christiaens, Co-founder and CTO at Collibra, shares strategies to ensure that data moves beyond raw material to take its rightful place as a valuable business asset. The article outlines common problems with data lakes, strategies for how business can avoid those problems, and how governance enables a data lake to become more than just a data repository. [Read More...]
Featured from insideHPC
- ExaFLOW Project takes on High-order CFDAfter three years of working on key algorithmic challenges in CFD, the European ExaFLOW Project it touting a series of industry milestones. With three flagship runs, ExaFLOW has managed to work on different specific CFD use cases which highlight the importance of their outcomes for both industry and academia. "After three years of working on key […]
News from insideHPC
- Video: MIT Makes Billion-Dollar Bet on Ai and Machine Learning
- ExaFLOW Project takes on High-order CFD
- The Rising AI Tide in HPC – Are You Ready?
- Call for Papers: Special Issue on Advanced Parallel HPC for AI Applications
- Video: Graphical User Interfaces for HPC
- ESCAPE-2 Project to develop algorithms for weather and climate prediction at exascale
- Intel Powers New AI Research Center at Technion in Israel
Editor’s Choice
Field Report: TIBCO NOW 2018
I was pleased to be on hand for the 2018 edition of the TIBCO NOW "Innovation at the Edge" conference in Las Vegas on September 4-6. This was my 1st time covering the show for insideBIGDATA, and I was eager to get the pulse of the event because you can tell a lot about the state of a company by attending their global user conference. I wasn't disappointed! [Read More...]
The insideBIGDATA IMPACT 50 List for Q3 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 to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the 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...]
