article thumbnail

How we de-risked a GenAI chatbot by Simon Hamilton Ritchie

Scott Logic

This aggregate data helps to identify the most suitable profile for the customer, allowing best-fit products and services to be suggested; but that data can also be stored for future interactions with the customer, whether via chatbot or human advisor. Find out more I hope you’ve found this overview of our PoC chatbot useful.

Banking 52
article thumbnail

Elasticsearch or Rockset for Real-Time Analytics: How Much Query Flexibility Do You Have?

Rockset

Instead, this data is often semi-structured in JSON or arrays. Often this lack of structure forces developers to spend a lot of their time engineering ETL and data pipelines so that analysts can access the complex datasets. Rockset supports full-featured SQL, enabling filtering, sorting, aggregating, and joining data in SQL.

SQL 40
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

This enables systems using Kafka to aggregate data from many sources and to make it consistent. Instead of interfering with each other, Kafka consumers create groups and split data among themselves. Kafka offers different protection mechanisms like data encryption in motion, authentication, and authorization.

Kafka 93
article thumbnail

Accelerated integration of Eventador with Cloudera – SQL Stream Builder

Cloudera

Their flagship product, SQL Stream Builder, made access to real-time data streams easily possible with just SQL (Structured Query Language). Cloudera’s customers were struggling to solve the same challenge – to query high-volumes of real-time data streams with something as simple as SQL. Data decays.

SQL 114