AWS Partner Network (APN) Blog
Category: Artificial Intelligence
Creating Smarter Conversational Experiences with Infinity Botzer on AWS
Traditional or click-based chatbots are relatively simple and provide a predetermined set of basic information or responses for users to choose from. Conversational AI bots, on the other hand, are more sophisticated and are best suited for enterprises with enormous data, ensure faster response time, and are available 24/7. Learn how to deploy bots within minutes using Infinity Botzer from LTIMindtree, and how this platform can facilitate comprehensive bot lifecycle management.
Leveraging MLOps on AWS to Accelerate Data Preparation and Feature Engineering for Production
Feature engineering is a critical process in which data, produced by data engineers, are consumed and transformed by data scientists to train models and improve their performance. Learn how to accelerate data processing tasks and improve collaboration between data science and data engineering teams by applying MLOps best practices from Data Reply and leveraging tools from AWS. Data Reply is focused on helping clients deliver business value and differentiation through advanced analytics and AI/ML on AWS.
Enabling Machine Learning Adoption with Genpact’s Analytics Maturity Meter and AWS
Organizations realize the value of data and analytics for their businesses, but not all of them have been successful in defining a mature analytics vision and strategy. By cross-leveraging experience in process management, safeguarding data, and rich analytics practices, Genpact has developed an analytics maturity assessment framework known as the Analytics Maturity Meter (AMM). Learn how this solution evaluates a company’s current capabilities in data, process, technology, talent, and enterprise leadership.
Reinventing Your Customers’ Business with Generative AI on AWS
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.
Building a Cloud-Native Architecture for Vertical Federated Learning on AWS
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 on AWS Accelerates Intelligent Business Solutions with AI and Data Capabilities
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.
Successful Decentralized Clinical Trials: A True Possibility with AWS in the Post-Pandemic Era
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.
Optimizing Energy Footprint with Edge Analytics and Artificial Intelligence of Things with Bosch Phantom
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.
Discover and Protect Sensitive Data with HCLTech’s DataPatrol Framework Built with Machine Learning on AWS
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.
Enhancing OpenText Axcelerate eDiscovery with Translation Capabilities on AWS
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.