Tag: Machine Learning

Apiphani provides services and solutions to help organizations industrialize their data delivery and enable data-driven business through data pipeline deployment, Data Product delivery, and value scaling and realization. The approach covers technology, ways of working, and cultural changes to deliver reliable, right data for BI, ML, AI, and digital products. Companies following these methods can realize performance improvements in the near term as well as get on a path to be data and AI driven for years to come.

The financial services industry stands at a crossroads between speed and security. Despite the digital revolution, document-based verification remains king – creating a bottleneck that impacts both operational efficiency and fraud prevention. This paradox affects everything from payment processing to lending and insurance claims management, challenging institutions to find innovative solutions. In this blog we cover how Fortiro’s solutions streamline document verification while strengthening fraud prevention.

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.

Learn how Steplab, in collaboration with AWS and BJSS, leverages Amazon Bedrock and Claude 3.5 Sonnet LLM to revolutionize teacher coaching through AI-powered personalized feedback.

As AI governance becomes a pressing necessity, Domino Data Lab, in partnership with AWS, is bridging the gap between abstract policies and actionable practices. Domino’s Enterprise AI Platform on AWS empowers organizations to innovate confidently and responsibly by seamlessly integrating effective governance throughout the AI lifecycle, mitigating risks while driving business value.

By: Nisha Dekhtawala, Sr. Partner Solutions Architect – AWS By:Diego Colombatto, Prin. Partner Solutions Architect – AWS By:Rick Hoehne, Sr. Partner, Financial Crime – IBM By:Abhay Mhatre, Associate Partner, Data & Technology Transformation – IBM By:Sanal Kumar, Partner Developmenet Manager – AWS Introduction In today’s digital world, institutions face significant challenges with onboarding new customers […]

Integrating Workday Extend with Amazon Web Services (AWS) empowers organizations to unlock innovation and create custom solutions. Workday Extend’s no/low-code platform, combined with AWS services like Amazon S3, AWS Lambda, Amazon EventBridge, Amazon Rekognition, Amazon Comprehend, Amazon Textract and Amazon Translate enables faster time-to-market and greater productivity. The integration supports various use cases, from automating billing processes to AI-powered text and image analysis. With robust security and seamless authentication, this collaboration accelerates digital transformation and growth. Visit the Workday Developer Site or contact your Workday Account Executive for more information.

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.