Last month, we hosted an event on “Best Practices in ML Observability for Lending & Insurance” that featured a fireside chat with America First Credit Union’s Data Science Manager Richard Woolston.
In the wide-ranging interview, Woolston shared his thoughts on the use of AI in the financial services industry and how his team approaches model monitoring and ML observability. Here are some of the more pointed questions from that session, and Woolston’s takeaways.
In 2022, I believe companies handling online transactions will develop more sophisticated approaches to identity verification that go beyond regulatory KYC/AML requirements and become a cornerstone for business, product and customer service strategies.
For retailers, 2022 holds both promises and challenges. It could be a banner year for shopping, with e-commerce poised for its first trillion-dollar year, according to estimates from Adobe. But before brands and retailers can take advantage of pent-up shopping demand, they must navigate a few hurdles, including supply chain issues, staffing shortages and the pandemic’s unpredictable trajectory. Beyond these immediate challenges, retailers must consider new consumer patterns and expectations, the point and purpose of the retail space moving forward and the growing role of technology innovation in their business strategy.
3 Smart Cities in 2021: How Smart Cities Use IoT
To develop smart city technology, cities must have access to information on sustainability, resilience, and artificial intelligence to successfully analyze data and improve city life.
Apigee is committed to continually innovating new capabilities and solutions for our customers, and 2021 saw new product launches, partnerships, and best practices for managing
2021 was a seminal year for software developers. Every company accelerated their digital and online efforts, while simultaneously moving to remote development. Innovation by driving
Edge computing is a new and improved version of network architecture that breaks the boundaries of traditional cloud computing. Edge computing solution surpasses the benefits
Data lakehouses are underpinned by a new open system architecture that allows data teams to implement data structures through smart data management features similar to data warehouses over a low-cost storage platform that is similar to the ones used in data lakes
I’m on a journey to help make machine learning (ML) and artificial intelligence (AI) more accessible to everyone.
This post uses the AWS CLI to establish cross-account audit logging for Amazon Redshift, as illustrated in the following architecture diagram.
Some of the most critical aspects of DaaS offerings are ease of management, security, cost-efficiency, workload isolation, and high resiliency and availability.
Recently, we helped a customer who was building their data warehouse on Amazon Redshift and had the requirement of using Microsoft Azure Active Directory (Azure AD) as their corporate IdP with MFA. This post illustrates how to set up federation using Azure AD and AWS Identity and Access Management (IAM). Azure AD manages the users and provides federated access to Amazon Redshift using IAM.
Companies use Amazon Web Services (AWS) IoT services to build innovative solutions, including secure edge device connectivity, ingestion, storage, and IoT data analytics.
