Astera Data Governance Walkthrough

Join me as I guide you through: Centralizing your organization’s data securely Enhancing data quality with enrichment tools Deploying projects using Astera Data Pipeline Builder Managing and enriching data assets Creating glossary terms and tags for better data discoverability Generating comprehensive data profiles and automating data quality checks Approving access requests for data assets.

Building and Evaluating GenAI Knowledge Management Systems using Ollama, Trulens and Cloudera

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. Information is often redundant and analyzing data requires combining across multiple formats, including written documents, streamed data feeds, audio and video. This makes gathering information for decision making a challenge.

Banking on Future Growth: Predictions, Challenges, and Performance for Financial Brands

The COVID-19 pandemic and the resulting economic uncertainty forced businesses to rethink how they approach growth. This especially rang true in the financial services industry, where financial trends have the most direct impact. Curiosity, collaboration, and adaptability all became key to surviving this new climate.

How to Set Up a Fully Managed Alerting Pipeline Using Confluent Cloud Audit Logs

In large organizations, Confluent Cloud is often simultaneously accessed by many different users along with business-critical applications, potentially across different lines of business. With so many individual pieces working together, the risk of an individual outage, error, or incident affecting other services increases. An incident could be constituted by a user clicking a wrong button, an application’s misconfiguration, or just a bug—you name it.

3 Ways to Monetize Your Application Data with Embedded Analytics

Data is one of the most valuable commodities an organization has. Every company stores and manages a substantial amount of information. But how do you gain revenue from it? Here, we discuss three ways you can monetize data with an embedded analytics investment.

Improve Product Stickiness and User Adoption with Embedded Analytics

You’ve heard of throwing ideas at a wall until something sticks–as a product manager, you may find you’re doing the same with application features. For application teams, creating sticky applications that customers can rely on and continue using for years to come is key to maximizing revenue. Elements like intuitive interfaces, personalized experiences, seamless integrations, and valuable core functionalities all contribute to this stickiness.