Category: Artificial Intelligence

Adversarial machine learning (AML) attacks, also known as “artificial intelligence attacks” (AI attacks), involve deliberate attempts to manipulate or compromise machine learning models or even make it reveal sensitive information. Explore how AIShield‘s seamless integration within the Amazon SageMaker environment alleviates AI security concerns by mitigating risks before and after deployment, enabling customers to develop and deploy AI applications with confidence.

Generative AI and large language models (LLMs) such as AI21 Labs’ Jurassic models are reshaping how we engage with information. This post walks through using the Jurassic-2 (J2) large language model and how to consume the model via an AWS Lambda API endpoint. We’ll also discuss how to make calls to the J2 model via the publicly available Jurassic-2 Python SDK. AI21 Labs is an AWS Partner and leader in generative AI and LLMs, revolutionizing the way people read and write.

As the world grows, concerns over pollution and climate change are forcing businesses to redesign how they produce and use energy. A notable approach for achieving this objective is through informing end users of their power usage patterns. Learn how IBM’s anomaly detection solution for energy and utilities helps companies increase energy efficiency leveraging a personalized AI paradigm and to calculate ESG metrics related to energy consumption.

IBM’s watsonx is an artificial intelligence and data platform designed to scale and accelerate the impact of AI with trusted data. As a part of watsonx, IBM has launched watsonx.data, which enables customers to scale analytics and AI with a fit-for-purpose data store, built on an open lakehouse architecture. It provides querying, governance, and open data formats for easy data access and sharing. Customers can connect to their data within minutes, gain trusted insights quickly, and reduce data warehouse costs.

Contact center agents operate under vast pressure to find quick customer service solutions—yet they often lack the tools to do so. The IBM Consulting Contact Center Modernization (CCM) solution with Amazon Connect is an intuitive, omnichannel cloud platform that addresses complex and costly issues faced by businesses. By leveraging speed and operational efficiency, and by delivering exceptional customer experiences, IBM Consulting CCM enables brands to jump-start their journey towards success.

Intelligent document processing (IDP) falls under the intelligent process automation of business tasks, and specifically involves extracting value from documents in an automated manner. Learn how customers can leverage Data Reply’s end-to-end IDP pipeline solution called DocExMachina, which is based on Amazon Textract and Amazon Comprehend. We’ll show how to make this pipeline document agnostic and customizable on AWS.

Sphere and Amazon Lookout for Vision are revolutionizing the way that high-value equipment and machines are assembled, maintained, and operated. By combining extended reality (XR) with AI, the integration gives manufacturing customers a cutting-edge tool to uncover process issues, identify missing components, detect damaged parts, and more. Explore use cases in which the enhanced training procedures and advanced analytics afforded by Sphere and Amazon Lookout for Vision can be applied to real-world scenarios.

Many public health agencies and laboratories still fax their test results and frequently change the format of those documents. Quantiphi’s Jim Keller speaks with AWS about the benefits of QDox, an intelligent document processing solution that leverages AI to recognize the document type, extract information, and deliver the output in the desired format. Quantiphi is an AWS Premier Tier Services Partner that’s a category-defining analytics, machine learning, and cloud modernization company.

Maintaining multiple machine learning models across different teams can be challenging. Having a centralized platform to monitor and manage them can significantly reduce operational overhead and improve efficiency. Learn how the models trained and deployed in Amazon SageMaker can be monitored by DataRobot in a highly scalable fashion. In this way, customers can monitor both DataRobot-originated models and SageMaker-originated models under a single pane of glass.

Gauging market demand for the apparel retail industry is challenging. The success of SKUs sold depends on customer preference (fitting, feel, regional acceptance) and latest trends, which can change frequently. Learn how Ganit has successfully deployed inventory management systems using intelligent demand forecasting at the core of its solutions. This system has helped many clients optimize their inventory, leading to efficient working capital deployment and improvement in topline and bottom-line numbers.