Category: Artificial Intelligence

The AWS Partner community is energized about the potential of generative AI, and we recognize there are unique considerations for bringing these applications into production for commercial use cases. Ruba Borno, VP, WW Channels & Alliances at AWS, shares why AWS Partners are an integral part in ensuring customers realize the full value of generative AI offerings. Working together, AWS and partners will be guiding the development of business innovations and solutions for customers of all sizes and industries.

Federated learning is a distributed machine learning technique that doesn’t require data to be centralized, and it doesn’t disclose data to other parties while building the model. Learn how DOCOMO Innovations focuses on federated learning, and particularly vertical FL because it has potential to get better model performance by collaborating with other data providers. DOCOMO Innovations has been investigating the VFL algorithm and its implementation on AWS for real-world scenarios.

Infor OS is the foundational enterprise application platform which connects Infor’s various software products and third-party solutions into a complete digital business platform. It enables ongoing innovation with support for AI/ML, integration, hyperautomation, application development, data management, and analytics. The platform delivers everything you need to tackle innovation use cases—from integration to automation and extensibility to data and insights.

Decentralized clinical trials (DCTs) put the patient at the center of the trial experience and incorporate digital technologies like AI/ML to address the challenges associated with traditional clinical trials. DCTs can reshape workflows across the clinical lifecycle—from trial design and patient recruitment to evidence generation. Explore key challenges addressed by DCTs and how SourceFuse is leveraging AWS to build the right solutions for its clients to transform clinical research.

Energy and asset monitoring is becoming an essential part of business. Organizational strategies include environmental, social, and governance (ESG) criteria in its framework to decrease energy consumption and, at the same time, boost efficiency. Learn how Bosch is solving this problem with the help of edge analytics, machine learning, and core Internet of Things (IoT) components provided by AWS, and how Bosch Phantom helps to extract information using a non-intrusive approach.

It’s critical to identify and protect the sensitive data collected from any unauthorized disclosure, and it’s the responsibility of every organization to effectively discover, control, and manage their sensitive data footprints and comply with relevant data protection laws. Learn how HCLTech‘s DataPatrol framework accomplishes critical tasks in the lifecycle of sensitive documents and improves sensitive data discovery and governance across your AWS environment.

Integrated eDiscovery software enables collection, processing, analysis, classification, review, and production of electronically stored information in a single solution. Learn how OpenText, a global information management leader, helps organizations manage and gain value from their business content. OpenText Axcelerate enables customers to prioritize the most relevant documents for review, reduce datasets, and achieve higher efficiency and accuracy.

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.

With Amazon Comprehend, the implementation of natural language processing and machine learning has become a simple, routine task. Organizations no longer have to spend hours trying to pick the right algorithm, as Amazon Comprehend automatically selects the best ones for any given use case. To explore this benefit, learn about an implementation of Amazon Comprehend for risk prediction and sentiment analysis on the observations in clinical trials sites.

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.