A Technology Broker and Management Company Specializing in KM Systems
Favorite Training your machine learning (ML) model and serving predictions is usually not the end of the ML project. The accuracy of ML models can deteriorate over time, a phenomenon known as model drift. Many factors can cause model drift, such as changes in model features. The accuracy of ML
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Shared by AWS Machine Learning November 3, 2021
Favorite If you have a corpus of internal documents that you frequently search through, Amazon Kendra can help you find your content faster and easier. These documents can be in different locations and repositories, and can be structured or unstructured. Amazon Kendra is a fully managed service backed by machine
Read More Shared by AWS Machine Learning November 3, 2021
Favorite Many organizations spanning different sizes and industry verticals still rely on large volumes of documents to run their day-to-day operations. To solve this business challenge, customers are using intelligent document processing services from AWS such as Amazon Textract and Amazon Comprehend to help with extraction and process automation. Before
Read More Shared by AWS Machine Learning November 3, 2021
Favorite City transportation is crucial to connecting residents to education, employment and essential services. At the same time, the transportation sector is where global greenhouse gas (GHG) emissions are rising the quickest. In 2018, we launched the Environmental Insights Explorer (EIE) in collaboration with the Global Covenant of Mayors for
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Shared by Google AI Technology November 2, 2021
Favorite I have blogged before about the two simultaneous and overlapping workstreams in an organisation – the product workstream, and the knowledge workstream. But what exactly is the in-house organisation that delivers your knowledge workstream? Any organisation that makes product, also makes knowledge about that product. Products are made through
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Shared by Nick Milton November 1, 2021
Favorite Auto insurance companies are focusing on digital innovations to meet customer needs. Digital-first engagements provide tailored coverage, transparent information, and seamless experiences. The shift to virtual channels for customer service that occurred during the pandemic is unlikely to revert to traditional channels for many customers. The change in consumer
Read More Shared by AWS Machine Learning October 30, 2021
Favorite As air travel starts to pick up in many parts of the world, digitization continues to transform the aviation industry. Airlines are working to reduce the number of touchpoints at the airport. Best practices have been implemented to minimize the number of physical interactions between employees and travelers. As
Read More Shared by AWS Machine Learning October 30, 2021
Favorite Implementing an effective fraud prevention system is one of the top priorities for businesses that operate online web or mobile platforms. Businesses report millions of dollars of lost revenue each year due to fraud. Platform abuse and fraud prevention largely remain reactive, and is achieved by studying the profile
Read More Shared by AWS Machine Learning October 30, 2021
Favorite Retailers want to stay engaged with their customers as they move seamlessly between digital channels and physical storefronts. By delivering personalized and consistent experiences across a range of retail touchpoints, companies can drive brand loyalty. Customers contact retailers’ customer support for reasons such as checking order status, updating shipping
Read More Shared by AWS Machine Learning October 30, 2021
Favorite Mobile service providers manage a high volume of customer service calls daily. Rapidly evolving network technology and device innovations are shaping customer expectations. Delighting callers with a quick interaction is core to a successful customer experience strategy. Mobile subscribers contact customer support for several reasons such as requesting a
Read More Shared by AWS Machine Learning October 30, 2021