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Features
Many of today’s digital transformation and omnichannel customer experience initiatives demand real-time analysis of data. For example, banks need to analyze transactions across their systems in real time to detect and prevent fraud. Read more…
IT administrators have long relied on the Elastic Stack to gain insight into the behavior of their servers and networks. Now the company behind the popular suite of tools is headed up the stack to take on big data challenges related to application performance management (APM) and security. Read more…
As we look forward into 2019, a select group of leaders in Big Data have stepped ahead of the rest. In this fourth annual People to Watch feature, we’re offering our readers a look at some of the best and brightest minds in Big Data whose hard work, dedication, and contributions reach far beyond analytics, and are shaping the direction that technology is taking us as a people. Read more…
FPGAs and object storage systems. NVMe storage and ML model management. IoT edge computing and converged server infrastructure. It would be a big understatement to say that Hitachi Vantara has a lot going on, but it also might be why the company is so interesting to watch, and why you might want to keep an eye on it, too. Read more…
Organizations today are drowning in data. There’s no argument about that. But there continues to be vigorous debate on the best way to deal with that data. While some advocate creating big data lakes to store data that will subsequently be used for training machine learning models, there’s a growing chorus of voices calling for a simpler and more real-time approach. Read more…
News In Brief
With data emerging as the life blood of most industries, the emphasis has shifted from organizing and analyzing big data to finding ways to establish higher levels of trust in the torrent of data generated through customer and partner interactions. Read more…
Among the emerging enterprise applications for AI are cloud-based business intelligence tools that can be used to collect, organize and explore financial data, helping planners move beyond their beloved spread sheets to build predictive models that can be used, for example, to generate more reliable budget forecasts. Read more…
Data analytics and database vendors vendor continue to churn out new versions of their platforms that integrate new features like cloud-native functionality and more granular views of structured and unstructured data. Read more…
An effort to bring structure and meaning to huge volumes of varied data is being used to improve training of neural networks.
The technique, dubbed Neural Structured Learning (NSL) attempts to leverage what developers call “structured signals.” In model training, those signals represent the connections or similarities among labeled and unlabeled data samples. Read more…
Reports of the demise of R as a programming language are exaggerated, according to community leaders, who note the R Foundation has so far approved the distribution of grants and sponsorships totaling $1 million. Read more…
This Just In
Dec. 10, 2019 — You see them all over city streets: pedestrians wearing headphones or earbuds – their faces glued to their phones as they stroll along oblivious to their surroundings. Read more…
LAS VEGAS, Dec. 6, 2019 — Amazon Web Services, Inc. (AWS), an Amazon.com company, and the National Football League (NFL) today announced a new partnership with a goal of advancing player health and safety using AWS’s unmatched portfolio of services and expertise. Read more…
REDWOOD CITY, Calif., Dec. 4, 2019 — Sumo Logic, a leader in continuous intelligence, today announced the beta availability of two new disruptive analytics services that extend its highly differentiated Cloud Flex credit-based licensing strategy. Read more…
SEATTLE, Dec. 3, 2019 — AppSheet, the leading no-code application platform, today announced it has added Optical Character Recognition (OCR) and new predictive model features to its intelligent platform, enabling business users to speed up data entry, perform statistical analysis of data, and integrate machine learning (ML) processing capabilities in smart enterprise apps—all without writing a single line of code. Read more…