Tag: ai/ml

Search abandonment—when a shopper searches for a product on a retailer’s website but doesn’t find what they are looking for—costs retailers more than $2 trillion annually globally1, and more than $234 billion in the United States alone.  Today, we’re releasing new data about the impact of search abandonment, including its role in brand loyalty and …

Read more “New research: Search abandonment continues to vex retailers worldwide”

With Amazon Rekognition Custom Labels, you can have Amazon Rekognition train a custom model for object detection or image classification specific to your business needs. For example, Rekognition Custom Labels can find your logo in social media posts, identify your products on store shelves, classify machine parts in an assembly line, distinguish healthy and infected …

Read more “Automate Amazon Rekognition Custom Labels model training and deployment using AWS Step Functions”

Like old friends catching up over coffee, two industry icons reflected on how modern AI got its start, where it’s at today and where it needs to go next. Jensen Huang, founder and CEO of NVIDIA, interviewed AI pioneer Ilya Sutskever in a fireside chat at GTC. The talk was recorded a day after the …

Read more “AI Opener: OpenAI’s Sutskever in Conversation With Jensen Huang”

Deforestation is a major concern in many tropical geographies where local rainforests are at severe risk of destruction. About 17% of the Amazon rainforest has been destroyed over the past 50 years, and some tropical ecosystems are approaching a tipping point beyond which recovery is unlikely. A key driver for deforestation is raw material extraction …

Read more “Remote monitoring of raw material supply chains for sustainability with Amazon SageMaker geospatial capabilities”

Organizations across industries are looking to AI to turn troves of data into intelligence, powered by the latest advances in generative AI. Yet for many organizations, there is a barrier to adopting the latest models because they can be costly to train or serve. A new class of cloud GPUs is needed to lower the …

Read more “Introducing G2 VMs with NVIDIA L4 GPUs — a cloud-industry first”

Companies across industries are looking to use interactive avatars to enhance digital experiences. But creating them is a complex, time-consuming process requiring state-of-the-art AI models that can see, hear, understand and communicate with end users. To ease this process, NVIDIA is providing creators and developers with real-time AI solutions through Omniverse Avatar Cloud Engine (ACE), …

Read more “Fresh-Faced AI: NVIDIA Avatar Solutions Enhance Customer Service and Virtual Assistants”

Insights from building privacy-protective technology shared with the National Telecommunication and Information Administration Introduction Since Palantir’s founding, we have rejected the premise that preserving national security — or tackling any mission-critical problem — must come at the expense of privacy and other fundamental rights. In contrast with this false tradeoff, we believe that through the thoughtful development and use …

Read more “Palantir’s Response to NTIA on Privacy, Equity, and Civil Rights”

This is a guest post co-written with Antony Vance from Intel. Customers are always looking for ways to improve the performance and response times of their machine learning (ML) inference workloads without increasing the cost per transaction and without sacrificing the accuracy of the results. Running ML workloads on Amazon SageMaker running Amazon Elastic Compute …

Read more “Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances”