AWS FeedAmazon QuickSight Q – Business Intelligence Using Natural Language Questions Making sense of business data so that you can get value out of it is worthwhile yet still challenging. Even though the term Business Intelligence (BI) has been around since the mid-1800s (according to Wikipedia) adoption of contemporary BI tools within enterprises is still…
AWS FeedExplore image analysis results from Amazon Rekognition and store your findings in Amazon DocumentDB When we analyze images, we may want to incorporate other metadata related to the image. Examples include when and where the image was taken, who took the image, as well as what is featured in the image. One way to…
AWS FeedBuild Your Own Game Day to Support Operational Resilience Operational resilience is your firm’s ability to provide continuous service through people, processes, and technology that are aware of and adaptive to constant change. Downtime of your mission-critical applications can not only damage your reputation, but can also make you liable to multi-million-dollar financial fines.…
AWS FeedAWS WAF now offers in-line regular expressions AWS WAF extends its regular expression (regex) support, allowing regex patterns to be expressed in-line within a rule statement. Previously, you had to create a regex pattern set, which provides a collection of regex patterns in a rule statement, even if you wanted to use just a…
AWS FeedHow Virtusa Powers Hyper-Personalization with 5G, AWS Wavelength, and Edge Technology By Néstor Gándara, Sr. Partner Solutions Architect – AWSBy Ravi Kumar Palepu, Sr. VP, Head of Global TMT Solutions – VirtusaBy Girish Ramadurgam, Chief Architect, Global TMT Solutions – Virtusa Virtusa The digital revolution has seen an explosion of marketing data, and marketing…
AWS FeedModel and data lineage in machine learning experimentation Modern quantitative finance is based around the approach of pattern recognition in historical data. This approach requires teams of scientists to work in a collaborative and regulated setting in order to develop models that can be used to make trading predictions. With the growing influence of…