Tag: Amazon SageMaker

The integration of artificial intelligence (AI) technologies is rapidly gaining momentum across various industries, offering a variety of business advantages. However, without implementing robust AI security measures, organizations may face substantial risks, including model poisoning and sensitive data breaches. Learn how Orca Security provides effective strategies to mitigate and prevent these potential threats.

Amazon SageMaker is a unified platform that combines various AWS services into a single, integrated experience supporting data analytics and AI workloads. This post highlights the next generation Amazon SageMaker and its new features, including a Unified Studio, Lakehouse, and enhanced governance tools, which aim to streamline the entire data and AI workflow. It also provides insights into how AWS Partners can leverage Amazon SageMaker to enhance their solutions.

Freshworks’ cutting-edge AI offering, called Freddy AI, is powered by CloudVerse, a platform component that provides AIaaS. CloudVerse, developed in collaboration with AWS, enabled Freshworks to accelerate building generative AI applications on AWS. Read on to learn more about how AWS enabled Freshworks to leverage AIaaS offerings and helps them stay ahead of the curve with various services, including Amazon EKS, AWS Lambda, and Amazon Bedrock.

In the financial services industry, detecting fraud is a complex process. For any given transaction or activity, the system needs to decide whether it’s fraudulent or not and take action within seconds. With Redis Enterprise Cloud‘s sub-millisecond latency speeds, up to five 9’s of availability, linear scalability, and multiple data model support coupled with the global cloud infrastructure support of AWS, organizations can benefit from building a real-time fraud detection system to manage and control fraud.

Organizations have matured and have overcome the initial hurdles of proving the capabilities of AI. The challenge now is operationalizing AI and building engineering excellence to successfully adopt and manage machine learning at scale. Learn how Quantiphi assisted Venterra Realty in bringing in the best ML solution development and deployment practices through NeuralOps—a framework built on Amazon SageMaker.

In computer vision applications, the transmission of video data to the cloud for analysis can result in added delays due to various contributing factors such as queuing, propagation, and network latency. Learn how the Nordcloud team, in collaboration with AWS, has designed a “Computer Vision at the Edge” solution based on AWS Panorama. It caters to organizations seeking low-latency decision making without the burden of managing complex technology.

Metal Toad has been working with major entertainment brands for decades, including keeping some of the highest-profile media sites live under unique traffic conditions. Keeping these sites up and running is one of Metal Toad’s superpowers, but the AWS Digital Customer Experience Competency Partner couldn’t do it without the tools provided by AWS. Explore some of the strategies Metal Toad deployed to protect a customer’s site during an event where failure was not an option.

Many organizations derive business understanding and new insights through content analytics and intelligence. Wipro’s email automation framework leverages machine learning services from AWS that enable organizations to extract data from emails and provide automated instructions which enhance accuracy and improve staff productivity. This solution supports data extraction from the mailbox (email body and attachments) and validates and prioritizes based on the urgency of emails.

Learn how equipment operators can build a predictive maintenance solution using AutoML and no-code tools powered by AWS. This type of solution delivers significant gains to large-scale industrial systems and mission-critical applications where the costs associated with machine failure or unplanned downtime can be high. The design of this solution is based on the experience of Grid Dynamics with manufacturing clients.

Thank you for joining us in Las Vegas for AWS re:Invent 2022! We hope you enjoyed all of the educational content and big announcements. If you missed anything or just want to recap, we have rounded up the most relevant launches, program updates, and educational content available for the AWS Partner community, including the Partner Keynote with Ruba Borno. Reminder that you can watch on-demand re:Invent keynotes, leadership sessions, breakouts, and more.