Favorite Today, we’re excited to announce intelligent user segmentation powered by machine learning (ML) in Amazon Personalize, a new way to deliver personalized experiences to your users and run more effective campaigns through your marketing channels. Traditionally, user segmentation depends on demographic or psychographic information to sort users into predefined
Favorite This is a blog post I repeat every 5 years or so, my summary of Top 7 success factors for implementing Knowledge Management. There are more than 7, of course (see the knowledge manager’s handbook for details), but these are some of the most fundamental recommendations. Many if not
Favorite The video below is from a talk I gave to the Gesellschaft für Wissensmanagement (GfWM) knowledge camp last week, on the topic of “value focused KM”. You can find more videos from the same event here. The video lasts about 30 minutes, and covers the source of value that KM
Favorite This post was co-written with Kevin O’Brien, Senior Data Scientist in Careem’s Integrity Team. Dubai-based Careem became the Middle East’s first unicorn when it was acquired by Uber for $3.1 billion in 2019. A pioneer of the region’s ride-hailing economy, Careem is now expanding its services to include mass
Favorite This is a guest post by Lucas Baker, Andrea Duque, and Viet Yen Nguyen of Hypefactors. At Hypefactors, we build tech for media intelligence and reputation management. The solution is a software as a service (SaaS) product that does large-scale media monitoring of social media, news sites, TV, radio,
Favorite Machine learning operations (MLOps) are key to effectively transition from an experimentation phase to production. The practice provides you the ability to create a repeatable mechanism to build, train, deploy, and manage machine learning models. To quickly adopt MLOps, you often require capabilities that use your existing toolsets and
Favorite Amazon Redshift, a fast, fully managed, widely used cloud data warehouse, natively integrates with Amazon SageMaker for machine learning (ML). Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Data analysts and database developers want to use this
Favorite There is a school of thought that knowledge lies only in the minds of individuals. I think this is misleading, and that reality is both more complex than this, and more interesting. A search of the internet will find a commonly held view in KM circles that Knowledge only
Favorite We’re excited to announce a new forecasting API for Amazon Forecast that generates up to 40% more accurate forecasts and helps you understand which factors, such as price, holidays, weather, or item category, are most influencing your forecasts. Forecast uses machine learning (ML) to generate more accurate demand forecasts,
Favorite We’re excited to launch explainability impact scores in Amazon Forecast, which help you understand the factors that impact your forecasts for specific items and time durations of interest. Forecast is a managed service for developers that uses machine learning (ML) to generate more accurate demand forecasts, without requiring any
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