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AnswerThePublic: Unlocking Insights from Search Queries

In the digital age, understanding the pulse of public interest is crucial for web professionals. AnswerThePublic, a cutting-edge search listening tool, has emerged as a vital resource for tapping into the collective inquiries of internet users worldwide. With over 15 years of experience in content strategy, many experts have seen tools come and go, but AnswerThePublic stands out for its ability to transform raw search data into actionable insights.

Delivering Effective AI for Telecom Companies: Trusted, Open, Hybrid

It’s not a surprise that in today’s challenging economic landscape, rising costs pose a significant threat to the telecommunications industry. Consider that in 2022, Bain Capital was predicting that Telcos would grapple with increased personnel and escalating operating costs due to inflation. And here we are.

Simplified End-to-End Development for Production-Ready Data Pipelines, Applications, and ML Models

In today’s world, innovation doesn’t happen in a vacuum; collaboration can help technological breakthroughs happen faster. The rise of AI, for example, will depend on the collaboration between data and development. We’re increasingly seeing software engineering workloads that are deeply intertwined with a strong data foundation.

Top 4 AI Use Cases in Life Sciences

The life sciences industry is rapidly embracing artificial intelligence (AI) to automate complex processes, enhance efficiency, and improve outcomes. From drug development to patient care, AI-driven automation is transforming the landscape. Here are some of the top artificial intelligence use cases for process automation in the pharmaceutical industry.

Improving Government Case Management with AI: 6 Use Cases

There are many ways AI can improve government case management processes. Examples include: AI capabilities often depend on a large language model (LLM), an advanced AI system that can understand, analyze, interpret, and generate human language. It uses deep learning techniques to predict and produce coherent text based on input prompts. A large language model trained on government agency data is capable of tasks like text extraction, translation, summarization, and conversational responses.

Snowflake Massively Expands Types of Applications That Can Be Built, Deployed and Distributed on Snowflake

Apps are the way to democratize AI: to make it accessible to everyone and streamline customers’ experiences with faster time to insights. According to a recent IDC survey, AI applications is currently the largest category of AI software, accounting for roughly one-half of the market’s overall revenue in 2023.

Data Catalog vs. Data Dictionary vs. Business Glossary: Key Differences

A data catalog is a collection of metadata that acts as a comprehensive inventory of an organization’s data assets. It provides an overview of all the data available, regardless of its location or technical details. This collection helps analysts and other data users find the needed data.

5 Top Benefits for Choosing React Native

React Native is an open-source framework that Meta (then Facebook) designed to build native applications for Android, iOS, and other platforms. The framework is built so anyone familiar with React can easily build cross-platform applications without learning a completely different framework or language. However, there are differences in the functionality of the two, including: There are many more differences, but we’ll get into those later in the post.

S1.E5: Test automation uncovered | QA Therapy Podcast

In this episode, we're diving into the realm of test automation ownership, strategy, tooling, and beyond, with our special guest, Toyer Mamoojee, our esteemed QA Therapist. Toyer, a seasoned speaker at testing conferences, is renowned for his expertise in test automation. Did you know that Xray enables you to consolidate results from various testing frameworks into a single, centralized location within Jira? This means your teams can freely select their preferred testing frameworks or tools without sacrificing visibility into the testing process.

Scaling Ruby on Rails Using Containerization and Orchestration

After Twitter moved from Ruby to Scala in 2009, the story was born that Ruby on Rails can’t scale. The story goes that it lacks robustness, is a memory hog, and lacks the concurrency features you need to grow an application. This has been the prevailing wisdom for over a decade. And then along came Shopify, showing that, as Lutke says, Ruby on Rails is a framework that can process billions of events per day and evidently does scale. Ruby on Rails is an excellent candidate for scaling.