Senzing’s Software for Real-Time AI for Entity Resolution to Fight Financial Crime
Senzing, a new artificial intelligence-based (AI) software company, announced its Senzing software product to address the $14.37 billion financial fraud market. Senzing is an IBM spinout that has reinvented entity resolution, which senses who is who in real time across multiple big data sources. [READ MORE...]
Featured Stories
Big Data and the Psychologist's Role on the Analytical Team
Now that the role of the data scientist has become essential in the workplace, more roles in data analytics are opening up in large companies—including jobs for psychologists. The infographic below from our friends over at the University of Southern California Dornsife shows us why psychologists can have such a powerful role in leveraging big data effectively.
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Advancements in Dynamic and Efficient Deep Learning Systems
We're seeing much hype in the marketplace about the potential of AI, especially with respect to computer vision systems and its ability accelerate the development of everything from self-driving cars to autonomous robots. To create more dynamic and efficient deep learning systems, that don’t compromise accuracy, IBM Research is exploring new and novel computer vision techniques from both a hardware and software angle. [READ MORE...]
Deep Reinforcement Learning: From Board Games to the Boardroom
In this contributed article, Andrew Vaziri, a Senior Artificial Intelligence Engineer at Bonsai, highlights how we are now entering the age of profit-making Deep Reinforcement Learning (DRL), and why it took so long for this technology to make the leap from board games to the boardroom? [READ MORE...]
Featured Resource
Advanced Analytics: Moving Toward AI, Machine Learning, and Natural Language Processing
There is a lot of excitement in the market about artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). Overall, one thing is clear—organizations that are utilizing these technologies now are gaining value. Download the new TDWI Best Practices Report, courtesy of SAS, to learn more about the latest innovations in advanced analytics.
Industry Perspectives
AI Technology and the Critical Role People Will Play in Driving AI Forward
In this special guest feature, Mark Sears, Founder and CEO at CloudFactory, provides a few ways people are involved in making AI-powered systems work better, faster and more accurately. Advances in AI and other disruptive technologies don’t just happen. They take well-trained, tech-savvy people who can process massive amounts of data quickly and accurately to help companies get solutions to market, or scale a critical data process fast. [Read More...]
Increasing Analytic Project Success
In this special guest feature, Erik Ottem, Director of Product Marketing, Data Center Systems at Western Digital, discusses how to build a better data lake, equipped with elements such as scaling measures, object storage adapters and ultimately enough performance to handle large analytic workloads. [Read More...]
Featured from insideHPC
- DDN Acquires Lustre Business Unit from IntelToday DDN announced that the company has acquired Intel’s Lustre File System business and related assets. "This important acquisition reinforces DDN’s presence as the global market leader for data at scale, while providing Lustre customers with enhanced field support and a well-funded technology roadmap. The acquisition also enables DDN to expand Lustre’s leading position from […]
News from insideHPC
- A Virtual Welcome Wagon for the HPC Community at ISC 2018
- Job of the Week: HPC Engineer at Dow Chemical
- Dr Keren Bergman previews ISC Keynote on Optical Computing for HPC
- Fujitsu to Showcase Post-K Supercomputer CPU Prototype at ISC 2018
- Welcome to ISC High Performance 2018
- Asetek Provides Liquid Cooling QCT at NCHC in Taiwan
- Gidel Launches Lossless Compression IP that Reduces FPGA Power Consumption
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...]
