or call: +1 (520) 350-7212
or call: +1 (520) 350-7212
Modernize data architectures for AI breakthroughs More than a third (36%) of business, data and artificial intelligence (AI) leaders say their lack of a defined architecture and roadmap is a top challenge, and another 29% cite cloud modernization and platform…
Must-know data and AI trends for architects Just in: 86% of data leaders say the key drivers that influence their decision-making the most when selecting a data architecture are avoiding vendor lock-in with a flexible data management platform, the need…
2024 Data Catalog Study: Informatica ranks as a top vendor According to a recent study, data catalogs are seen as important or very important across most business functions. They’re key to improving data management, data governance, collaboration, scalability and strategic…
Lay the foundation for responsible AI governance A data governance strategy for responsible AI outcomes should be at the forefront of your agenda. As countries develop new AI regulations, it’s critical to utilize an integrated, cloud-native data platform that aids…
Responsible AI principles: Adopting ethical frameworks To successfully guide artificial intelligence (AI) development and deployment, ethical frameworks are essential. Explore responsible AI principles to lay a solid foundation for building AI practices that are sustainable, compliant and meet societal expectations.…
Conquer your next data engineering hackathon: Strategies to win Data engineering hackathons aren’t easy to tackle – you need to think outside the box and solve new problems with cutting-edge technology. Discover how to conquer your next hackathon and strengthen…
Unlock synergy between GenAI & data engineering Frontier Communications is pioneering the path to digital transformation with a clear objective: “Building Gigabit America.” Discover how the organization fast-tracked digital transformation, upgraded to a cloud-first data stack and improved master data…
Fast-track your path to a data-driven enterprise Evolving into a data-driven enterprise is no easy feat, faced with unique obstacles that demand strategic navigation. In fact, there are over 15 million losses due to poor data quality and less than…
Unlock synergy between GenAI & data engineering Without question, data engineering needs the help of generative artificial intelligence (GenAI) and GenAI needs the help of data engineering. Here’s why: GenAI makes data engineers more productive, while data engineering…
Building blocks for AI: Inside the data science hierarchy of needs When it comes to implementing artificial intelligence (AI), keep your eyes on a critical piece of the puzzle: data integration. If your data foundation for AI isn’t…
