Systems | Development | Analytics | API | Testing

Data Platform Economics: Measuring and Improving Cost-per-Query in Snowflake

Nov 14, 2024 By Unravel In Unravel
80% of data management experts struggle to forecast data-related cloud costs with precision (Forrester). The root causes? A critical shortage of granular visibility needed for accurate cost allocation, fragmented data siloed away from those who need it most, and a notable absence of AI-driven tools and automated processes capable of predicting future expenditures. Streamline your approach to cloud cost management and data operations with Unravel. Move beyond mere observation to take immediate, impactful action for transformative results.
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moesif

Introducing AI Explain

Nov 14, 2024 By Dylan Frankcom In Moesif
We are thrilled to introduce our newest feature to Moesif - AI Explain - a powerful conversational tool that lets you interact with your API analytics data like never before. Instead of spending time digging through numerous charts or building complex queries, you can simply ask questions and get meaningful answers in just a few seconds. AI Explain is designed to make analytics accessible to everyone, whether you’re new to working with data or simply want a more efficient way to gain insights.
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speedscale

Mock APIs: A Beginner's Guide to Mocking Toolsets

Nov 13, 2024 By Shaun Duncan In Speedscale
Mock APIs are vital tools in modern software development. They allow developers to simulate APIs and continue testing and development without backend dependencies. This guide covers how mocking toolsets enhance efficiency and ensure rigorous testing, streamlining debugging and feature integration for increased productivity and innovation.
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antino

Types and Benefits of Enterprise Software Systems

Nov 13, 2024 By Radhakanth Kodukula In Antino
In the era of rapid digital transformation, it's easy to feel overwhelmed by the constant introduction of new tech trends and buzzwords. Amidst this rapid change, one term stands out as a cornerstone of this revolution: Enterprise Software Systems. These systems play a vital role in helping businesses adapt and thrive in the fast-paced world of digital innovation.
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cloudera

Introducing Cloudera Fine Tuning Studio for Training, Evaluating, and Deploying LLMs with Cloudera AI

Nov 13, 2024 By Jason Everett In Cloudera
Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. LLMs deployed as customer-facing chatbots can respond to frequently asked questions and simple queries.
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thoughtspot

Introducing Spotter: ThoughtSpot's AI Analyst for everyone

Nov 13, 2024 By Sumeet Arora In ThoughtSpot
Just like cloud computing changed digital businesses over time, the momentum of AI innovation foreshadows an evolution in business operations and decision-making. Instead of solely focusing on what happened or what might happen, AI will illuminate the actions that lead to better business outcomes. This is the next step in the AI evolution, one that will empower your business to shift from human-initiated, tech-assisted processes, to AI-initiated, human-supervised actions. In this world, AI is the new BI.
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bugfender

Mastering Exception Handling in Kotlin: A Comprehensive Guide

Nov 13, 2024 By Sachin Siwal In Bugfender
In programming, exception handling is an essential concept to help developers catch and manage errors in a way that will support the application’s architecture robustness. An Exception is an event which disrupts the normal flow of your Android application. It can occur if a user provides an invalid input, or there are runtime errors, such as division by zero. Exceptions happen when there are unexpected conditions, like IOError file reading failed etc.
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tideways

PHP 8.4 improves Closure Naming for simplified debugging

Nov 13, 2024 By Benjamin In Tideways
In applications that use closures excessively, understanding stack traces as part of the debugging experience has historically been complicated by the fact that the names of closures did not include the source location. In a PHP stack trace, whenever a frame was represented by a closure, it only contained the reference {closure} and the namespace the closure was declared in, leading to all closures within a namespace looking identical.
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