A Technology Broker and Management Company Specializing in KM Systems
Favorite We are excited to launch a causal contribution analysis capability in Amazon Lookout for Metrics that helps you to understand the potential root causes for the business-critical anomalies in the data. Previously, you were only given the root causes for a single anomaly per measure. You had to analyze
Read More
Shared by AWS Machine Learning June 14, 2022
Favorite The increasing size of language models has been one of the biggest trends in natural language processing (NLP) in recent years. Since 2018, we’ve seen unprecedented development and deployment of ever-larger language models, including BERT and its variants, GPT-2, T-NLG, and GPT-3 (175 billion parameters). These models have pushed
Read More Shared by AWS Machine Learning June 14, 2022
Favorite IT has evolved in recent years: thanks to low-code and no-code (LCNC) technologies, an increasing number of people with varying backgrounds require access to tools and platforms that were previously a prerogative to more tech-savvy individuals in the company, such as engineers or developers. Out of those LCNC technologies,
Read More Shared by AWS Machine Learning June 14, 2022
Favorite Agility and security have historically been two aspects of IT of paramount importance for any company. With the simplification of access to advanced IT technologies thanks to low-code and no-code (LCNC) tools, an even bigger number of people must be enabled to access resources, without impacting security. For many
Read More Shared by AWS Machine Learning June 14, 2022
Favorite We are excited to announce that you can now add filters to alerts and also edit existing alerts while using Amazon Lookout for Metrics. With this launch, you can add filters to your alerts configuration to only get notifications for anomalies that matter the most to you. You can
Read More Shared by AWS Machine Learning June 14, 2022
Favorite Posted by Laura Downs and Anthony Francis, Software Engineers, Robotics at Google Many recent advances in computer vision and robotics rely on deep learning, but training deep learning models requires a wide variety of data to generalize to new scenarios. Historically, deep learning for computer vision has relied on
Read More
Shared by Google AI Technology June 14, 2022
Favorite Much of the value delivered through Knowledge Management comes as a result of solving problems. “How do you show the value of Knowledge Management?” Yet another client was asking me the same question – how can you demonstrate the value? I had just quoted to him Shell’s 2007 claim that they
Read More
Shared by Nick Milton June 13, 2022
Favorite Today, customers can raise support tickets through multiple channels like – web, mobile, chat-bots, emails, or phone calls. When a support ticket is raised by a customer, it is processed and assigned to a category based on the information provided in the ticket. It is then routed to the
Read More Shared by AWS Machine Learning June 10, 2022
Favorite AWS offers a broad set of artificial intelligence (AI) and machine learning (ML) services, including a suite of pre-trained, ready-to-use services for developers with no prior ML experience. In this post, we demonstrate how to use such services to build an application that fosters the inclusion of people with
Read More Shared by AWS Machine Learning June 10, 2022
Favorite Data fuels machine learning (ML); the quality of data has a direct impact on the quality of ML models. Therefore, improving data quality and employing the right feature engineering techniques are critical to creating accurate ML models. ML practitioners often tediously iterate on feature engineering, choice of algorithms, and
Read More Shared by AWS Machine Learning June 9, 2022