The insideBIGDATA IMPACT 50 List for Q4 2018
The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most 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...]
Featured Stories
Data Pruning Technology for Data Retention
Aparavi helps organizations master out of control unstructured data growth. The company's new whitepaper, titled "Multi-Cloud Active Archive," explains the benefits of a storage model that includes data pruning technology to reduce secondary data growth by 75%. [READ MORE...]
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...]
“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 Resource
3 Reasons to Consider Text Mining
A growing number of life science companies use text mining to gather important insights from vast amounts of published information. The results of mining projects inform a wide range of business activities including drug discovery, drug interactions, clinical trial development, drug safety monitoring and competitive intelligence. Download the new Copyright Clearance Center white paper that covers three of the top reasons to consider implementing text mining for life sciences companies.
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
- IBM Multicloud Manager to Create Harmonized SystemsIBM’s Multicloud Manager provides an operations console for companies as they increasingly incorporate public and private cloud capabilities with existing on-premises business systems. "With its open source approach to managing data and apps across multiple clouds, the IBM Multicloud Manager will position companies to scale their many cloud investments and unleash the full business value […]
News from insideHPC
- IBM Multicloud Manager to Create Harmonized Systems
- Great Lakes Supercomputer from Dell EMC Coming to University of Michigan
- 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
Editor’s Choice
4 Major Ways in Which Big Data is Impacting Social Media Marketing
In this contributed article, content and brand strategist Nidhi Dave throws light on the application of big data on social media marketing, examining its current as well as future impact. She offers four major ways in which big data is impacting social media marketing [Read More...]
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...]
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...]
