Real-time transaction data analysis with IBM Event Automation
As the pace and volume of digital business continue to increase, organizations are facing mounting pressure to accelerate the speed at which they do business. The ability to quickly respond to shifting customer and market dynamics has become key for contending with today’s growing digital economy. In a survey run by IDC, a leading provider …
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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities
This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. The analysis that inspired this post was originally written by Jennifer Reiber Kyle. Amazon SageMaker geospatial capabilities combined with Planet’s satellite data can be used for crop segmentation, and there are numerous applications and …
Mobilize your unstructured data with generative AI
For several years, businesses have used Google Cloud’s Document AI to achieve faster, more accurate document processing, and improve the ways they process invoices, customer forms, and deliver services that rely on documents. Generative AI is transforming enterprise document processing by letting users input natural language prompts to classify, extract, and get deeper insights from …
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DynIBaR: Space-time view synthesis from videos of dynamic scenes
Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a recorded video (e.g., to freeze time …
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In observability, “automation” is spelled I-N-S-T-A-N-A
Modern application environments need real-time automated observability to have visibility and insights into what is going on. Because of the highly dynamic nature of microservices and the numerous interdependencies among application components, having an automated approach to observability is essential. That’s why traditional solutions like New Relic struggle to keep up with monitoring in cloud-native …
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DynIBaR: Space-time view synthesis from videos of dynamic scenes
Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a recorded video (e.g., to freeze time …
Read more “DynIBaR: Space-time view synthesis from videos of dynamic scenes”
Accenture creates a Knowledge Assist solution using generative AI services on AWS
This post is co-written with Ilan Geller and Shuyu Yang from Accenture. Enterprises today face major challenges when it comes to using their information and knowledge bases for both internal and external business operations. With constantly evolving operations, processes, policies, and compliance requirements, it can be extremely difficult for employees and customers to stay up …
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Data on Kubernetes has crossed the chasm: the case for running stateful apps on GKE
Kubernetes is the de facto standard today for cloud-native development. For a long time, Kubernetes was mostly associated with stateless applications such as web and batch applications. However, like most things, Kubernetes is constantly evolving. These days, we are seeing an exponential increase in the number of stateful apps on Kubernetes. In fact, the number …
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Closing the breach window, from data to action
Accelerate threat detection and response (TDR) using AI-powered centralized log management and security observability It is not news to most that cyberattacks have become easier to launch and harder to stop as attackers have gotten smarter and faster. For those defending against cyberthreats, things continue to get more complicated. The list of challenges is long: …