Favorite It is increasingly common to combine KM with another discipline, for example Knowledge and Information Management (KIM) or Knowledge and Innovation. Recent survey data suggests that this may create differences in outcome of the KM program. In the recent 2020 survey of global KM, we asked a new question
Favorite The world is becoming smaller as many businesses and organizations expand globally. As businesses expand their reach to wider audiences across different linguistic groups, their need for interoperability with multiple languages increases exponentially. Most of the industry work is manual, slow, and expensive human effort, with many industry verticals
Favorite Preferred Networks (PFN) released the first major version of their open-source hyperparameter optimization (HPO) framework Optuna in January 2020, which has an eager API. This post introduces a method for HPO using Optuna and its reference architecture in Amazon SageMaker. Amazon SageMaker supports various frameworks and interfaces such as TensorFlow,
Favorite In January, our CEO Sundar Pichai visited Brussels to talk about artificial intelligence and how Google could help people and businesses succeed in the digital age through partnership. Much has changed since then due to COVID-19, but one thing hasn’t—our commitment to the potential of partnership with Europe on
Favorite At re:Invent 2019, AWS shared the fastest training times on the cloud for two popular machine learning (ML) models: BERT (natural language processing) and Mask-RCNN (object detection). To train BERT in 1 hour, we efficiently scaled out to 2,048 NVIDIA V100 GPUs by improving the underlying infrastructure, network, and ML framework. Today,
Favorite If you want someone to buy something, they need to be convinced that it is worth the investment. If your product is a good one, then you can convince people by letting them try before they buy. That’s why Apple allows you to play with all its products in
Favorite Managing the complete lifecycle of a deep learning project can be challenging, especially if you use multiple separate tools and services. For example, you may use different tools for data preprocessing, prototyping training and inference code, full-scale model training and tuning, model deployments, and workflow automation to orchestrate all
Favorite Heuristics, or “rules of thumb” are how many decisions get made. Here’s how KM can support this. N44 rule of thumb by Timothy Valentine on Flickr In the seminal book “Working Knowledge”, Larry Prusak and Tom Davenport take a wise and insightful overview of the whole topic of Knowledge
Favorite Results from the Knoco 2020 global survey of Knowledge Management seem to show that the use of Communities of Practice is in decline. Every three years since 2014, knoco has conducted a global survey of Knowledge Management. The latest survey is completed, and the final report written (go here
Favorite In recent years, AWS customers have been running machine learning (ML) on an increasing variety of datasets and data sources. Because a large percentage of organizational data is stored in relational databases such as Amazon Aurora, there’s a common need to make this relational data available for training ML