Systems | Development | Analytics | API | Testing

What’s struck me in the past years is how the tools we have at our disposal, at a societal and corporate level, are insufficient to solve the big challenges we face. We see this with the pandemic, climate change, social inequity and much more. And, more recently, in the disruptions in supply chains, which have created global shortages of key components and materials. To solve our biggest issues, we don’t have a choice but to get together and create joint, interwoven solutions.

When it comes to data warehouse projects, if the wrong technology is chosen, the project is often doomed to failure. However, when data warehouse project managers take the time to weigh the pros and cons of various data warehouse providers, they often achieve terrific results. In the long run, taking the time to find the right technology is often a wise investment, as a successful data warehouse project has the power to transform any business through keen data-driven insights.

‘Supply chain shortage’ went from a vague post-apocalyptic concept to a stark reality in 2020 and 2021. The pandemic that tore across the world also exposed ugly supply chain issues (toilet paper shortage, anyone?). A lurking issue with dire consequences — often rooted in inaccurate and unreliable data — we are all discovering that supply chain shortages aren’t limited to grocery store shelves. These issues may not be as obvious to the average consumer.

Guest Author Roozbeh Aliabadi is CEO at ReadyAI Our children have the right to be AI-educated so they can thrive intellectually, emotionally, and morally alongside AI. In the next decade or so, for most children, AI will be their co-workers, drivers, insurance agents, customer service reps, bank tellers, receptionists, radiologists, in short, a natural part of their lives.

Not to sound like Cosmo, but sometimes it seems like a project was meant to be. Talend Trust Assessor is one of those projects. In 2020, a creative plan to share Talend Trust Score™ with the world grew into a full-fledged product developed and released in record time. Stephanie Yanaga and Gray Hardell, the project’s instigators, had a shared vision: giving everyone a taste of the Trust Score with very little effort.

As our customers continue their journey to achieve healthier data, we are constantly looking for ways to help them make that journey more quickly and successfully. By applying data health concepts across Talend Data Fabric in innovative new ways, everyone from business professionals to data professionals can get more value from their data, faster.