This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Too many discovery efforts fail silently. Teams run interviews, ship features, and sprint ahead – only to realize months later that nothing moved the business. Why? Because most discovery is just activity. Not alignment. To change that, we partnered with David Pereira , a product leader & product coach who’s made a name for calling out “fake discovery” and showing teams how to course-correct with ruthless clarity.
Ever wonder why some teams just click, while others stall, clash, or crumble under pressure? It’s not luck. Its development. Behind every high-performing team is a journey—a path from polite introductions to productive flow, with a few bumps (and maybe blowups) along the way.
Meta Platforms Inc. is in advanced discussions to buy PlayAI, an AI voice startup, as part of their strategy to recruit top talent and enhance their capabilities in artificial intelligence. This move aligns with Meta's goal to stay competitive in the tech industry and advance their AI technologies. The post Meta in Advanced Talks to Acquire AI Voice Startup PlayAI for Talent Acquisition appeared first on nextbigwhat.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
Every IT decision-maker faces a common challenge: balancing operational efficiency with cost control. While software solutions help streamline operations and drive efficiency, they can introduce redundancies into your system. These redundancies strengthen availability through backup systems but often complicate data management, leading to inconsistencies and potential outages.
Reddit's CEO affirms the platform will continue to be curated and moderated by humans, in response to the growing threat of AI-generated content. The site is actively working to combat the influx of automated posts to protect its communities and user experience, striving to maintain the authenticity of user-driven content creation. The post Reddit CEO Vows to Keep Site Human-Driven Amid AI Threats appeared first on nextbigwhat.
Reddit's CEO affirms the platform will continue to be curated and moderated by humans, in response to the growing threat of AI-generated content. The site is actively working to combat the influx of automated posts to protect its communities and user experience, striving to maintain the authenticity of user-driven content creation. The post Reddit CEO Vows to Keep Site Human-Driven Amid AI Threats appeared first on nextbigwhat.
Good help center designs promote self-service, allowing users to find answers independently without waiting for support. Which is exactly how users prefer it. In fact, research shows that 81% of customers try resolving issues on their own before contacting a support agent. So users provided with a well-structured help center end up happier, because they get help fast without any lengthy disruptions.
Anthropic, an AI software company, allows users to code browser-based apps from simple English commands, reminiscent of classic Flash games. The platform aims to simplify app development and bring back the nostalgic web vibes of the past. This innovation could revolutionize the way developers create applications in the AI age. The post Anthropic Brings Back Flash Game Vibes with AI Chatbot App Coding appeared first on nextbigwhat.
A judge has rejected Meta's claim that torrenting is irrelevant in an AI copyright case, suggesting pirate libraries could have profited from torrenting 80TB of books. The defeat of authors' torrenting claim is attributed to lack of evidence, potentially impacting the outcome of the copyright case against Meta. The post Judge Rules Pirate Libraries May Have Profited from Meta Torrenting appeared first on nextbigwhat.
Gemini CLI, a free and open source coding agent, is introduced to bring AI assistance to developers who work in the terminal. This tool enables vibe coding, a technique that merges AI capabilities with human programming skills. By leveraging Gemini CLI, developers can enhance their productivity and streamline their coding workflows directly from the terminal.
When test coverage falls behind release velocity, quality suffers, and your team feels the consequences. This guide outlines when it makes sense to outsource quality assurance (QA), the risks to watch for, and how to scale testing without increasing headcount or slowing down engineering. You will learn how leading teams are leveraging external QA partners to expand coverage, enhance defect detection, and remain aligned with CI/CD timelines.
Anthropic hired Google's book-scanning chief to destroy and digitize millions of print books to train its AI models, aiming to create a vast database for machine learning. The company's approach of cutting up physical books has raised concerns about the ethics of using such methods for AI development. The move highlights the growing importance of vast data sets in advancing AI technology.
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content