Tag: Antje Barth

Amazon Connect is an easy-to-use cloud contact center that helps companies of any size deliver superior customer service at a lower cost. If you are following our Amazon Connect announcements, you likely noticed that we keep adding more and more machine learning (ML) powered capabilities to Amazon Connect. ML makes Amazon Connect already smarter at analyzing conversations in real time, finding relevant information needed by contact center agents, and authenticating customers by the sound of their voice. Today, I’m excited to announce the general availability of new ML-powered capabilities for Amazon Connect: Amazon Connect forecasting, capacity planning, and scheduling, which was announced in March 2022 at Enterprise Connect, is now generally available! Contact Lens for Amazon Connect adds conversational analytics…

No tricks, just treats in this weekly roundup of news and announcements. Let’s switch our AWS Management Console into dark mode and dive right into it. Last Week’s Launches Here are some launches that got my attention during the previous week: AWS Local Zones in Hamburg and Warsaw now generally available – AWS Local Zones help you run latency-sensitive applications closer to end users. The AWS Local Zones in Hamburg, Germany, and Warsaw, Poland, are the first Local Zones in Europe. AWS Local Zones are now generally available in 20 metro areas globally, with announced plans to launch 33 additional Local Zones in metro areas around the world. See the full list of available and announced AWS Local Zones, and learn…

Deep learning (DL) models have been increasing in size and complexity over the last few years, pushing the time to train from days to weeks. Training large language models the size of GPT-3 can take months, leading to an exponential growth in training cost. To reduce model training times and enable machine learning (ML) practitioners to iterate fast, AWS has been innovating across chips, servers, and data center connectivity. At AWS re:Invent 2021, we announced the preview of Amazon EC2 Trn1 instances powered by AWS Trainium chips. AWS Trainium is optimized for high-performance deep learning training and is the second-generation ML chip built by AWS, following AWS Inferentia. Today, I’m excited to announce that Amazon EC2 Trn1 instances are now…

Artificial intelligence (AI) is all around us. AI sends certain emails to our spam folders. It powers autocorrect, which helps us fix typos when we text. And now we can use it to solve business problems. In business, data-driven insights have become increasingly valuable. These insights are often discovered with the help of machine learning (ML), a subset of AI and the foundation of complex AI systems. And ML technology has come a long way. Today, you don’t need to be a data scientist or computer engineer to gain insights. With the help of no-code ML tools such as Amazon SageMaker Canvas, you can now achieve effective business outcomes using ML without writing a single line of code. You can…