Category: Analytics

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.

Organizations need to be able to carefully define, monitor, and manage who has access to specific pieces of data according to their policies and external regulations. Effective data governance ensures data is consistent and trustworthy without being misused. Learn how Privacera enables data access governance on Amazon Aurora, including tag-based access control policies, and how Privacera can be used to mask columns or filter by row.

Learn about Emumba’s real-world experience handling streaming data from millions of devices—a prototypical use case for IoT and telemetry data ingestion. This post explores how the scale of ingestion radically alters the design decisions, and the lessons learned shared should help your business to make informed decisions given your unique set of conditions. Emumba is an AWS Partner that puts equal emphasis on product design, user experience, and solid engineering, bringing startup agility to enterprises.

Location data is a powerful tool that provides real-time information and predictive analytics. By leveraging location intelligence, companies can make better decisions related to store design, staffing, capital investments, new product development, site selection, and more. Learn how AWS and Foursquare are helping businesses usher in a new era of location intelligence, supplying companies with easy-to-work-with, high quality data through the AWS Data Exchange.

Sisense Fusion Embed and Amazon Redshift Serverless provide customers with an integrated and seamless AI-powered data analytics experiences combined with predictive intelligence, natural language querying, and more. Together, these solutions enable data-driven decisions and deliver business insights at the point of decision making. Explore the benefits and synergy of these two powerful data solutions and how they can help organizations turn data into actionable insights.

Precisely’s geo addressing solution is coupled with data enrichment to enable organizations to accelerate the use of address data and quickly associate rich, relevant contextual information to power faster and more confident decision-making. The Precisely Geo Addressing SDK allows organizations to develop and deploy geocoding desktop, mobile, or web applications capable of delivering location information for over 250 countries and territories.

To sustain innovation and drive business value, organizations are realizing the importance of decentralization of data products using a data mesh architectural design approach. Experts from AWS and IBM explain how to set the right balance of business ownership using data mesh to modernize data platform and accelerate innovation. We’ll also describe referenceable techniques to build data mesh solutions using AWS native services including Amazon DataZone, AWS Lake Formation, and AWS Glue.

Many institutions in financial services are in the early stages of their cloud journey. While each has their own IT landscape and cloud strategy, one question is common among many organizations: “How can I simplify my data ingest pipelines?” FactSet is a leading provider of financial services market and alternative data that can help consumers access their data in simple and scalable ways, while removing the administrative tasks that do not add value to the business.

Rapid changes in business intelligence and analytics solutions means companies are continually over-investing in solutions that rapidly age. With DXC Technology’s Analytics and AI Platform (AAIP), you can develop and deploy new analytics applications in weeks. Learn about the features and benefits of AAIP, which helps you look further and deeper, gaining business insights from data you could not previously access or manage.

Modern enterprise customers use AWS Marketplace datasets along with their business and operational data to create meaningful and deeper insights to improve their customer experience. Learn how to consume datasets from AWS Data Exchange to transform and store data in Databricks Lakehouse Platform using Delta Live Tables (DLT) and visualize it in Amazon QuickSight. DLT is a framework for building reliable, maintainable, and testable data processing pipelines.