Category: Learning Levels

Customer expectations are rising, and delivering seamless, AI-enhanced support is now essential. Discover how the Accenture AWS Business Group (AABG) is transforming contact center operations with their Connected Customer Experience (CCE) offering on AWS. Learn how generative AI-driven capabilities empower agents and enhance customer interactions, driving efficiency and modernization for businesses.

Based on Knowit’s ADAM guide, this blog post provides practical insights and strategies for achieving GDPR compliance in AWS environments, including essential frameworks for managing compliance obligations and leveraging AWS features and services. The post outlines a structured seven-step approach to systematically assess and document GDPR compliance while emphasizing the importance of understanding data controller and processor roles, encryption requirements, and cross-border data transfer considerations.

The Agent AI Ally solution revolutionizes call center operations by harnessing generative AI to provide agents with real-time, contextual support and product information during customer interactions. Powered by Anthropic’s Claude 3.5 Sonnet model through Amazon Bedrock, the solution delivers instant insights and suggestions while analyzing customer responses in real-time. This comprehensive platform integrates key AWS services including Amazon Connect, Transcribe, and Kendra to create a powerful system that enhances agent performance and customer satisfaction through AI-driven assistance and efficient data processing

Through the integration of Veeam and AWS security best practices, organizations are equipped to address their regulatory compliance adherence while enhancing overall security resilience when deploying their data protection solution on AWS.

Introducing the AWS Partner Profitability Framework, an intuitive and reliable way to maximize business value with the AWS Partner Network (APN). The AWS Partner Profitability Framework optimizes the partner journey to broaden the value and deepen expertise across various business models. According to a 2022 study conducted by Canalys, partners with a breadth of offerings can achieve a $6.40 multiplier per $1 AWS sold. 

New AWS research reveals that over 90% of customers plan to engage AWS Partners for generative AI deployment in the next 3 years. This comprehensive study of 1,000+ respondents across 24 industries provides insights into customer adoption patterns, buying journeys, and strategic priorities in the rapidly evolving generative AI landscape.

In today’s cyber threat landscape, a robust incident response plan isn’t just a nice-to-have—it’s critical for businesses of all sizes. AWS Security Incident Response Specialization Partners help AWS customers with incident response through 24/7 monitoring, investigation, containment, and remediation guidance, backed by AWS security experts.

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.

Enterprises face challenges with complex workflows and siloed systems that hinder efficiency and decision-making. Automation Anywhere’s Automation Co-Pilot, powered by Amazon Q Business, offers a revolutionary solution through conversational automation. This AI-powered assistant seamlessly integrates with company systems to provide contextual knowledge and automate tasks through conversational interactions.

Many enterprises still rely on the Adabas database and Natural programming language for critical workloads, facing rising license costs and a shrinking talent pool. To reduce reliance on these aging technologies and enable digital transformation, companies are modernizing to AWS with IBM ModernSystems accelerator. The division offers automated refactoring of Natural code to Java/C# and replatforming to execute Natural on Windows, along with migrating Adabas databases to modern relational databases.