Favorite The surge in remote working triggered by Covid lockdowns is exposing the need for Knowledge Management, especially when it comes to tacit knowledge. Image from wikimedia commons That is the argument of an interesting article from the Irish Times entitled Covid taking a toll on companies’ reservoir of workplace
Favorite Chatbots have become an increasingly important channel for businesses to service their customers. Chatbots provide 24/7 availability and can help customers interact with brands anywhere, anytime and on any device. To effectively utilize chatbots, they must be built with good design, development, test, and deployment practices. This post provides
Favorite In today’s world, being able to quickly bring on-premises machine learning (ML) models to the cloud is an integral part of any cloud migration journey. This post provides a step-by-step guide for launching a solution that facilitates the migration journey for large-scale ML workflows. This solution was developed by
Favorite Here’s how the Tata group uses KM as a core pillar of their group-wide excellence model Image from wikimedia commons The Tata Group is an Indian multinational conglomerate, and one of the biggest and oldest industrial groups in India. The group uses an annual assessment against the TATA Business Excellence
Favorite As a software engineer and generally analytic type, I like to craft theories for everything. Theories on how to build software, how to stay productive, how to be creative…and even how to dress well. For help with that last one, I decided to hire a personal stylist. As it
Favorite Yesterday at AWS re:Invent 2020, we announced AWS Panorama, a new machine learning (ML) Appliance and SDK, which allows organizations to bring computer vision (CV) to their on-premises cameras to make automated predictions with high accuracy and low latency. In this post, you learn how customers across a range
Favorite As organizations continue to adopt microservices, the number of disparate services that contribute to delivering applications increases, driving the scope of signals that on-call teams monitor to grow exponentially. It’s becoming more important than ever for these teams to have tools that can quickly and autonomously detect anomalous behaviors
Favorite Statistical analysis and simulation are prevalent techniques employed in various fields, such as healthcare, life science, and financial services. The open-source statistical language R and its rich ecosystem with more than 16,000 packages has been a top choice for statisticians, quant analysts, data scientists, and machine learning (ML) engineers.
Favorite AWS DeepRacer allows you to get hands on with machine learning (ML) through a fully autonomous 1/18th scale race car driven by reinforcement learning, a 3D racing simulator on the AWS DeepRacer console, a global racing league, and hundreds of customer-initiated community races. The action is already underway at
Favorite Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to quickly build, train, and deploy machine learning (ML) models at scale. Amazon SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high-quality