Systems | Development | Analytics | API | Testing

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Interview with Miguel Jetté, Vice President of AI at Rev

In this latest entry of our fascinating interview series that focuses on major players in the global tech arena, we are delighted to present Miguel Jetté, Vice President of Artificial Intelligence at Rev. Join us as we dive into his career development, provide tips for aspiring AI leaders, and discuss the key lessons he has learned along the way.

GenAI: Navigating the Risks That Come with Change

For enterprises, commercial use of AI is still in its early stages, and it’s a case of risk and reward, weighing up both and investigating the best way forward. Of course, there’s much to gain from the use of AI. Already, companies are providing better customer service, parsing complex information through natural language inputs, and generally making workflows faster.

Navigating the Enterprise Generative AI Journey: Cloudera's Three Pillars for Success

Generative AI (GenAI) has taken the world by storm, promising to revolutionize industries and transform the way businesses operate. From generating creative content to automating complex tasks, the potential applications of GenAI are vast and exciting. However, implementing GenAI in an enterprise setting comes with its own set of challenges. At Cloudera, we understand the complexities of enterprise GenAI adoption.

What is a Test Report? A Comprehensive Guide To Build One

At the end of every testing project, a test report is usually created to summarize the results. This report provides insights into how the test project was executed if it aligned with the initial plan, and what areas need further optimization. In this article, we’ll explore in-depth what needs to be included in a test report, as well as the key metrics that QA teams need to look at if they want to gauge their testing efficiency.

Direct API-Database Coupling vs. Multi-Layered Architectures

API-database coupling vs. traditional multi-layered architectures: what’s the difference and why does it matter? The main difference between direct API-database coupling and multi-layered architectures is that the former allows the API to interact directly with the database, minimizing latency and complexity, while the latter uses multiple layers to separate concerns.

Logi Symphony Soars in Latest Dresner Business Intelligence Report

insightsoftware’s Logi Symphony, a leading embedded analytics solution, continues to impress. According to a recent Dresner Advisory Services’ Wisdom of Crowds® Business Intelligence Market Study, Logi Symphony has been recognized as a leader in the field. This recognition highlights Logi Symphony’s commitment to exceptional customer experience and its strong reputation within the BI and analytics industry.

The Real-World Impact of Shift-Left

To shift or not to shift – that is the question. If you’ve been around the software development world lately, you’ve likely heard of shift-left – the practice of integrating testing, security, and operations early in the software development lifecycle to detect issues early. This approach is meant to be a win-win-win – saving time, money, and headaches. But is it as great in practice as it sounds in theory? In this episode, we debate the real-world benefits of shift-left and get to the heart of the issue: testing well.

Debugging in Ruby with pry-byebug

For a software engineer, even the basic use of a debugger can save a lot of pain: adding breakpoints (places in the code the program will stop at and expose the current context) is very easy, and navigating from one breakpoint to another isn't difficult either. And with just that, you can say goodbye to a program's many puts and runs. Just add one or more breakpoints and run your program.

Using Moesif, Kong, and Stripe to Monetize Your AI APIs - Part 3: Managing Customer Credit

Things can get tricky when managing pre-paid, pay-as-you-go billing for monetized APIs. Three mechanisms must be in place for this type of billing to work: first, you need to be able to add credits to an account. Second, you need to be able to burn down those credits. Third, you need to be able to block users from accessing the API once they have run out of credits.

ClearML Supports Seamless Orchestration and Infrastructure Management for Kubernetes, Slurm, PBS, and Bare Metal

Our early roadmap in 2024 has been largely focused on improving orchestration and compute infrastructure management capabilities. Last month we released a Resource Allocation Policy Management Control Center with a new, streamlined UI to help teams visualize their compute infrastructure and understand which users have access to what resources.