Tag: AWS Public Sector Partners

Platea Banking is a digital banking solution developed by NTT DATA to be used by clients as an accelerator in their modernization journeys, especially when creating a new banking platform. It’s positioned as a modernization vehicle that provides a ready-to-go digital infrastructure and architecture over both internal and external components as core. Platea includes pre-built functional modules and integrations with a third-party ecosystem, with Mambu at its heart as a core engine.

Infusing machine learning into core business processes such as credit scoring creates a competitive edge for banks and financial services institutions. It does not require a data science team, expertise, or platform rollout. Explore an ML-based credit-decisioning model built by ElectrifAi in collaboration with AWS whose model rapidly determines the creditworthiness of a SME, and data-driven, actionable insights reduce the overall processing cost and are consistent and free from any potential human biases.

It has become increasingly important for companies to meet security and compliance standards set forth across industries today, but this is particularly a hurdle for smaller ISVs and startups that do not have the resources and budget to navigate the ever-growing list. Learn about an approach and best practices for SOC 2 compliance, and how DuploCloud accelerates time to compliance by natively integrating security controls into mainstream DevOps workflows.

Enterprises require the ability to be proactive on modern governance challenges. The difficulty is knowing what data you have, where it’s located, its business value or risk to the organization, and how it can be protected. The Smarsh Enterprise Platform enables companies to capture, retain, analyze, and act on the “signals” in communications that are most critical to the business. These include compliance and brand risks and may expand to include security threats, cultural indicators, untapped revenue opportunities, and more.

Even the most technically astute organizations can find it challenging to conform to such requirements and do so efficiently. The Authority to Operate (ATO) on AWS partner program supports Amazon Web Services (AWS) customers overcome these hurdles by building a community of vetted, expert partners. While the ATO on AWS program was originally launched in the United States, it has begun supporting customers globally and we are excited to formally launch the program in Canada.

Many organizations record calls which are potential gold mines of rich insights about customer satisfaction, customer churn, competitive intelligence, service issues, agent performance, and campaign effectiveness. However, the sheer volume of phone calls exceeds a contact center’s ability to review and analyze them in order to glean those valuable insights. Learn how SourceFuse used custom microservices development to design a call center solution for a healthcare customer.

With the rise of voice assistants like Amazon Alexa, customer expectations for handling inquiries and transactions have shifted from the outdated phone keypad, also known as dual tone multi-frequency (DTMF), to modern conversational AI that enables machines to communicate with human beings. In this post, we demonstrate how Presidio implemented conversational AI to check the wait time and reserve a table at a restaurant using Amazon Chime SDK, Amazon Lex, and Amazon Polly.

Explore a migration where Vix Technology partnered with AWS ProServe and Stromasys, an AWS Migration and Modernization Competency Partner, to successfully migrating over 100 applications, including both x86 and SUN SPARC Solaris mission-critical workloads within nine months before a data center contract renewal with near-zero customer impact. Vix’s key business drivers for migration were to move to a more secure, cost effective, and resilient environment.

DevSecOps teams are responsible for providing enhanced infrastructure observability while ensuring they have the ability to respond to security events in a matter of minutes across the entire organization. To address this challenge, Sumo Logic and AWS collaborated to build a solution that provides end-to-end security and incident management (SIEM) across an enterprise using AWS Organizations. This SIEM solution is based on the AWS Security Reference Architecture.

Featurization is one of the most difficult problems in machine learning. Learn how graph features engineered in Neo4j can be used in a supervised learning model trained with Amazon SageMaker. These novel graph features can improve model performance beyond what’s possible with more traditional approaches. Together, these components offer a graph platform that can be used to understand graph data and operationalize graph use cases.