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Why Data Literacy is Essential for a Data-Driven Future

In a world overflowing with data, our ability to understand, interpret, and utilize it effectively has never been more critical. 2.5 quintillion bytes of data are created every day and with the rise of automation, machine learning, and artificial intelligence, this number is only set to increase. Data literacy plays a vital role in making sense of this wealth of information, empowering us to make informed decisions, identify trends, and ultimately enhance business outcomes.

Is Your Financial Services Organization Ready to Leverage Generative AI?

As an industry built on data, financial services has always been an early adopter of AI technologies. In a recent industry survey, 46% of respondents said AI has improved customer experience, 35% said it has created operational efficiencies, and 20% said it has reduced total cost of ownership. Now, generative AI (gen AI) has supercharged its importance and organizations have begun heavily investing in this technology.

8 Data Governance Tools for Growing Organizations in 2024

As your organization grows, so does the complexity of managing data. It’s a critical challenge—get it wrong, and you’re facing a world of siloed and inaccurate data, compliance nightmares, and security risks. The consequences of poor data governance are not just operational hiccups; they can directly impact an organization’s performance. If you’re looking for a solution to tackle these challenges head-on, you’re in the right place.

Accelerate Building Data Apps with Snowflake, Streamlit, and Fivetran: Workday Talent Management

Learn how Fivetran accelerates and automates data movement for Workday HCM data to the Snowflake Data Cloud. Using Fivetran’s fully automated and fully managed data movement service, you can achieve self-service data integration for all Snowflake data workloads quickly and securely and always be 100% automated. Kelly Kohlleffel steps you through creating a Workday to Snowflake connector with Fivetran for both the initial sync and ongoing incremental change data capture while creating a data app-ready dataset in Snowflake that is immediately useable, trusted, organized, and understandable by Streamlit.

Navigating the Fast-Moving Future: Cloud, Data, and Sustainability and AI

Today, businesses are facing some of the toughest digital innovation challenges we’ve ever seen in recent times. The climate crisis, the breakneck speed of technological innovation, and growing cybersecurity threats are just some of the hurdles that must be smartly addressed for organizations to succeed in today’s increasingly data-driven world. This is something we know to be true from recent discussions with our customers.