Systems | Development | Analytics | API | Testing

How to Build a Smart GenAI Call Center App

Building a smart call center app based on generative AI is a promising solution for improving the customer experience and call center efficiency. But developing this app requires overcoming challenges like scalability, costs and audio quality. By building and orchestrating an ML pipeline with MLRun, which includes steps like transcription, masking PII and analysis, data science teams can use LLMs to analyze audio calls from their call centers. In this blog post, we explain how.

Transforming analytics on the cloud: Supercharge your data applications

Transforming analytics on the cloud: Supercharge your data applications with Databricks, AWS and Unravel Organizations are feeling pressure to launch new data applications faster to meet end-user demand. Cloud data platforms help accelerate launch times with on-demand delivery of infrastructure and pay-as-you-go pricing. Last year, 98% of the overall database management system (DBMS) market growth came from cloud database platform as a service (dbPaaS). 80% of organizations have adopted agile practices to increase their pace of innovation.

A Comprehensive Breakdown of the Product Analyst Role

In the dynamic world of product development and management, the role of a Product Analyst has become increasingly pivotal. These professionals are at the forefront of deciphering market trends, customer behaviors, and product performance through data analysis. Their insights play a crucial role in shaping product strategies, ensuring that products not only meet current market demands but also anticipate future trends.

What's New in ThoughtSpot - 9.7.0 Cloud Release

ThoughtSpot Analytics Cloud 9.7.0 is now available! 👉 Bookmark your filters and parameters with Personalized Liveboard Views to access Liveboard data quickly👉 Ask coding questions in natural language and receive contextual GPT-assisted instructions and code with ThoughtSpot AskDocs👉 Version control your analytic content by integrating ThoughtSpot with Git repositories Plus lots of new features and enhancements you’ve been waiting for.

Stitch vs Integrate.io: A Comprehensive Comparison

Stitch and Integrate.io are both cloud-based ETL (Extract, Transform, Load) and ELT platforms designed to integrate data between the most popular databases, data warehouses, SaaS services, and applications. Both Stitch and Integrate.io offer point-and-click interfaces, no-code/low-code ETL tools, and a wide variety of native connectors. Furthermore, they both maintain strong reputations for quality and dependability in the ETL space.