In the latest enhancement to our industry-leading Data Lake, we have extended support for unstructured content using the latest natural language processing (NLP) technologies. Clients now have access to over one million research reports written by our respected industry analysts over the past 10 years and can easily search for relevant content by keyword or topic. The addition of NLP-driven unstructured data analysis within the Data Lake is empowering our clients to uncover business insights more quickly and effectively. The Data Lake uses best-in-class NLP-based models and tools to automatica ..read more

In July, we announced the launch of our Data Lake, which empowers users to uncover business insights more quickly by exploring, accessing and coalescing our data, their data and third-party data on a single, cloud-based platform. Today, we are building on our core mission of enabling analytics at scale by empowering business intelligence (BI) and other data query tools. The enhancements open up the Data Lake to analytics specialists, allowing them to easily pull data into their BI tools, further supporting the self-service model so valued by clients, and the generation of data-driven insights ..read more

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Live streaming is no stranger to fiasco and debacle. The world over, there exists no fan of football, wrestling, or Game of Thrones who hasn't encountered the exasperating wheel-of-doom: the video is buffering, and the action—maddeningly—grinds unceremoniously to a halt. Indeed, as an audience, we've resigned ourselves to the inexorability of service interruption, and on occasion, to transmission failure outright. Streaming doesn't have to be this way. In this blog post—a post intended to build upon key themes that Verizon Media and IHS Markit examined during a recent IHS Markit-hosted we ..read more

Live streaming is no stranger to fiasco and debacle. The world over, there exists no fan of football, wrestling, or Game of Thrones who hasn't encountered the exasperating wheel-of-doom: the video is buffering, and the action—maddeningly—grinds unceremoniously to a halt. Indeed, as an audience, we've resigned ourselves to the inexorability of service interruption, and on occasion, to transmission failure outright. Streaming doesn't have to be this way. In this first installment of a two-part blog series, we explore some of the unique, oft-unappreciated challenges of transmitting live, pre ..read more

With the arrival of Apple iOS 13 and Android Q Beta OS, one of the more interesting—and significant—enhancements from the operating systems was the addition of dark mode as an option for smartphone screens. While some applications previously offered dark mode as an option, the ability now to set up dark mode in the OS can help smartphone users more fully utilize and experience this new display mode. For the industry, dark mode may help boost the adoption of AMOLED panels in the smartphone display market. LCDs are a type of liquid-crystal display that use liquid-crystal molecules as the switch ..read more

Any manufacturing enterprise planning to become the "Factory of the Future" should start by thinking of the myriad challenges makers and producers face today. While a host of innovative technologies at present promise nothing less than a revolution in the business of fabricating goods, a clear understanding of fresh or novel mechanisms is needed to allow their intelligent integration into current manufacturing practices. Ultimately, however, new technologies like augmented and virtual reality, robotics, artificial intelligence, and the Cloud will succeed or fail depending on their ability to a ..read more

More and more data is collected today at faster and faster rates, currently more than 2.5 exabytes (the equivalent of 5M laptop hard drives) per day, according to recent estimates by domo, an American software company. Together with these ever-growing data resources, technologies and methodologies are being developed to extract "actionable insight". One successful approach is machine learning (ML) which extracts structure and relationships from the data. One common setting, so-called 'supervised learning', establishes a mapping from independent variables, typically called features, to a depend ..read more