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When to Use REST vs. SOAP with Examples

Terence Bennett - January 16, 2024 REST vs. SOAP are two methods of exchanging data through web service APIs (application programming interfaces). They both have unique features that cater to specific use cases. While CIOs indicate that most of the APIs developed today are REST-based, SOAP remains a feasible option under certain circumstances. If you’re uncertain about which protocol to utilize for your applications and web services, you’ve arrived at the right destination.

Revolutionizing Hurricane Property Insurance: The Dynamic Duo of Imaging Data and Generative AI

A catastrophe hazard is a severe and widespread event that causes significant damage and financial loss. These events are frequently natural disasters or large-scale human-made incidents that affect expansive and contemporary claims. Catastrophe hazards pose substantial trouble to insurers, as they can lead to a high volume of claims within a short period, potentially impacting insurance companies’ financial stability.

How Sense Uses Iguazio as a Key Component of Their ML Stack

Sense is a talent engagement platform that improves recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization, including a large number of data and data science professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers.

How HR Tech Company Sense Scaled their ML Operations using Iguazio

Sense is a talent engagement company whose platform improves the recruitment processes with automation, AI and personalization. Since AI is a central pillar of their value offering, Sense has invested heavily in a robust engineering organization including a large number of data and AI professionals. This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers.

Transforming SAP testing: Addressing key challenges with LiveCompare 2023.3

SAP testing is full of challenges, from complex migration processes to inefficient testing strategies. Tricentis LiveCompare mitigates these challenges by providing SAP teams with AI-powered analytics and insights that significantly reduce the risk, time, and cost of delivering and supporting changes to SAP solutions. LiveCompare’s latest release offers new enhancements to help our customers overcome these obstacles.

Tricentis qTest awarded 3 TrustRadius 2023 Best of Awards

We are delighted to announce that Tricentis qTest has won three prestigious TrustRadius Best of Awards! TrustRadius is an unbiased, trusted B2B technology decisioning platform that offers vetted reviews by real users to help technology buyers make confident purchasing decisions. Best of Awards are based entirely on customer reviews, and serve to spotlight products with superior customer satisfaction.

4 AI Privacy Issues-and How to Combat Them

Artificial intelligence is changing the world. With use cases ranging from content generation to deep data analysis to detecting health issues, AI can greatly improve lives and enhance business outcomes. And with the explosion of generative AI services and large language models, we can expect AI to become even more ubiquitous than it already is. But AI isn’t perfect. In particular, AI privacy issues put organizations at risk or prevent adoption in the first place.

ELT as a Foundational Block for Advanced Data Science

This blog was written based on a collaborative webinar conducted by Hevo Data and Danu Consulting- “Data Bytes and Insights: Building a Modern Data Stack from the Ground Up”, furthering Hevo’s partnership with Danu consulting. The webinar explored how to build a robust modern data stack that will act as a foundation towards more advanced data science applications like AI and ML. If you are interested in knowing more, visit our YouTube channel now!

Simplify Data Integration With Informatica's Snowflake Native App

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud.

Git Insights: You can ditch spreadsheet tracking and custom dashboards to track Git collaboration

Engineering Managers, Team Leads and Product Managers can now identify and address collaboration inefficiencies before they escalate. Using metrics such as pull request cycle time and merge frequency, you can pinpoint bottlenecks more quickly, quantifying Git collaboration and enhancing overall productivity.