Systems | Development | Analytics | API | Testing

Analytics

WSO2

Developing Agile ETL Flows with Ballerina

Oct 22, 2024 By Chathura Ekanayake In WSO2
Organizations generate vast amounts of data daily during various business operations. For example, whenever a customer checks out out at a retail outlet, data such as the customer identifier, retail outlet identifier, time of check out, list of purchased items, and the total sales value can be captured in the Point of Sales (PoS) system. Similarly, field sales staff may record possible sales opportunities in spreadsheets.
Read Post
cloudera

The Evolution of LLMOps: Adapting MLOps for GenAI

Oct 22, 2024 By Meeta Dash In Cloudera
In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. MLOps standardizes processes and workflows for faster, scalable, and risk-free model deployment, centralizing model management, automating CI/CD for deployment, providing continuous monitoring, and ensuring governance and release best practices.
Read Post
snowflake

Adobe and Snowflake Deepen Partnership to Rewrite the Next Era of Customer Experience

Oct 21, 2024 By Saptarshi (Sap) Mukherjee In Snowflake
Adobe launched Adobe Experience Platform Federated Audience Composition, now generally available on Snowflake, allowing organizations to unlock seamless interoperability for marketers by integrating Snowflake's AI Data Cloud with Adobe Real-Time Customer Data Platform (CDP) and Adobe Journey Optimizer.
Read Post
unravel

Databricks + Unravel: Achieve Speed and Scale on the Lakehouse

Oct 21, 2024 By Clinton Ford, Unravel VP, and Michael Milrud, Databricks Head of Product Observability In Unravel
Companies are under pressure to deliver faster innovation, enabled by cloud-based data analytics and AI. In order to deliver faster business value, data teams are looking to achieve speed and scale through data and AI pipeline performance and efficiency. A recent MIT Technology Review Insights report finds that 72% of technology leaders agree that data challenges are the most likely factor to jeopardize AI/ML goals.
Read Post

How Thrivent Uses Real-Time Data for AI-Driven Fraud Detection

Oct 21, 2024 By Confluent In Confluent
In today’s fast-paced financial services landscape, customers have a shorter attention span than ever. To meet clients’ growing demands for real-time access to information and keep innovating in areas like fraud detection and personalized financial advice, Thrivent needed to overhaul its data infrastructure. With data scattered across siloed legacy systems, diverse tech stacks, and multiple cloud environments, the challenge was a bit daunting. But by adopting Confluent Cloud, Thrivent was able to unify its disparate data systems into a single source of truth.
View Video
iguazio

Gen AI for Marketing - From Hype to Implementation

Oct 20, 2024 By Sahar Dolev-Blitental In Iguazio
Gen AI has the potential to bring immense value for marketing use cases, from content creation to hyper-personalization to product insights, and many more. But if you’re struggling to scale and operationalize gen AI, you’re not alone. That’s where most enterprises struggle. To date, many companies are still in the excitement and exploitation phase of gen AI. Few have a number of initial pilots deployed and even fewer have simultaneous pilots and are building differentiating use cases.
Read Post

Copyright © 2024 OpsMatters™. All rights reserved.