Systems | Development | Analytics | API | Testing

Implementing MLOps: 5 Key Steps for Successfully Managing ML Projects

MLOps accelerates the ML model deployment process to make it more efficient and scalable. This is done through automation and additional techniques that help streamline the process. Looking to improve your MLOps knowledge and processes? You’ve come to the right place. In this blog post, we detail the steps you need to take to build and run a successful MLOps pipeline.

Kensu Brings Data Observability to Data Engineers

What can an organization do to troubleshoot flawed data sets before they get into the hands of end-users? In this episode of “Powered by Snowflake,” host Daniel Myers explores that topic with Andy Petrella, Founder and CPO of Kensu, which offers a data observability platform built specifically for data engineers. The conversation includes a demo of the platform that spotlights how it enables data engineers to proactively identify data problems before the data gets to stakeholders.

How to Monitor and Debug Your Data Pipeline

Picture this: during a bustling holiday season, a global e-commerce giant faces a sudden influx of online orders from customers worldwide. As the company's data pipelines navigate a labyrinth of interconnected systems, ensuring the seamless flow of information for timely product deliveries becomes paramount. However, a critical error lurking within their data pipeline goes undetected, causing delays, dissatisfied customers, and significant financial losses.

Data warehouse modernization: Diving deeper into Qlik Talend data integration and quality scenarios

Step right up, ladies and gentlemen, and witness the grand spectacle of the digital age! In a world where data is king, where information reigns supreme, and cloud data warehouses are multiplying like rabbits, there's a technology initiative like no other— data warehouse modernization! This article is the second in the series "Seven Data Integration and Quality Scenarios for Qlik and Talend," and answers everything you wanted to know about data warehouse modernization but were afraid to ask.

3 Ways AI, ML, and Predictive Analytics Can Help Solve the Nursing Crisis

The nursing profession is in crisis. According to McKinsey, over 30% of surveyed nurses said they may leave their current patient care jobs in the next year, and for inpatient nurses it’s higher at 45%. Meanwhile, the average professional tenure of nurses dropped from 3.6 years to 2.8 years between 2020 and 2023. These alarming trends have healthcare systems on red alert. Ninety-four percent of surveyed health system senior executives said the nursing shortage is critical.

ThoughtSpot for Sheets delivers Generative AI to every knowledge worker

Today we're excited to officially launch AI Explain on ThoughtSpot for Sheets, the ultimate cheat code for data literacy and exploration. AI Explain integrates Google's PaLM 2 LLM, specifically leveraging the Bison model to automatically generate the top data stories for any visualization created with our Sheets extension.