A Technology Broker and Management Company Specializing in KM Systems
Favorite This blog post was co-authored by Arbi Tamrazian, Director of Data Science and Machine Learning at Fox Sports. FOX Sports is the sports television arm of FOX Network. The company used machine learning (ML) and Amazon SageMaker to streamline the production of relevant in-game storylines for commentators to use
Read More
Shared by AWS Machine Learning May 25, 2021
Favorite Did you miss SageMaker Month? Don’t look any further than this round-up post to get caught up. In this post, we share key highlights and learning materials to accelerate your machine learning (ML) innovation. On April 20, 2021, we launched the first ever Amazon SageMaker Month, 30 days of
Read More Shared by AWS Machine Learning May 25, 2021
Favorite We’re about a week away from the AWS Machine Learning Summit and if you haven’t registered yet, you better get on it! On June 2, 2021 (Americas) and June 3, 2021 (Asia-Pacific, Japan, Europe, Middle East, and Africa), don’t miss the opportunity to hear from some of the brightest
Read More Shared by AWS Machine Learning May 25, 2021
Favorite With over 400,000 customers, lekker Energie GmbH is a leading supraregional provider of electricity and gas on the German energy market. lekker is customer and service oriented and regularly scores top marks in comparison tests. As one of the most important suppliers of green electricity to private households, the
Read More Shared by AWS Machine Learning May 24, 2021
Favorite Many client organisations ask us “how do we promote Knowledge sharing and learning to become part of our culture”? I tell them that they probably already have the answer to that question. Culture change model from wikipedia Knowledge Management is probably not the only culture change program they have
Read More
Shared by Nick Milton May 24, 2021
Favorite Chatbots, virtual assistants, and Interactive Voice Response (IVR) systems are key components of successful customer service strategies. We had the pleasure of hearing from three AWS Contact Center Intelligence (AWS CCI) Partners as part of our Best Practices in Customer Service Automation webinar, who provided valuable insights and tips
Read More Shared by AWS Machine Learning May 22, 2021
Favorite AWS is excited to announce the winner of the AWS DeepComposer Chartbusters Keep Calm and Model On challenge, Nari Koizumi. AWS DeepComposer gives developers a creative way to get started with machine learning (ML) by creating an original piece of music in collaboration with artificial intelligence (AI). In June
Read More Shared by AWS Machine Learning May 21, 2021
Favorite The process of extracting, cleaning, manipulating, and encoding data from raw sources and preparing it to be consumed by machine learning (ML) algorithms is an important, expensive, and time-consuming part of data science. Managing these data pipelines for either training or inference is a challenge for data science teams,
Read More Shared by AWS Machine Learning May 21, 2021
Favorite Amazon SageMaker is a fully-managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at 50% lower TCO than self-managed deployments on Elastic Compute Cloud (Amazon EC2). Elastic Inference is a capability of SageMaker that delivers 20% better performance for model inference
Read More Shared by AWS Machine Learning May 21, 2021
Favorite Many businesses support customers across multiple countries and ethnic communities, and therefore need to provide customer service in a wide variety of local languages. It’s hard to consistently staff contact centers with agents with different language proficiencies. During periods of high call volumes, callers often must wait on hold
Read More Shared by AWS Machine Learning May 21, 2021