Data Digest
Blog
Alation Launches Salesforce Connector to Enhance Data Trust
We are excited to announce a new strategic partnership with Salesforce. This partnership will bring data governance and deep insights around data lineage into Salesforce Data Cloud. With this bidirectional integration, Alation joins the Salesforce Data Governance alliance.
Read now
Blog
How to Choose the Best Enterprise Data Catalog: Key Criteria Uncovered
It's analyst report season! In the next few months, analyst firms will provide guidance on how to approach the data catalog market and key criteria for choosing a data catalog. These reports can be helpful starting points. But they should be just that: a starting point. With over 12 years of experience and a customer base of nearly 600 enterprises, including 40 of the Fortune 100, we've developed a comprehensive understanding of what truly matters in a data catalog solution to deliver business success. Here are our key criteria uncovered:
Read now
Filter by
Blog
Hidden Insights in Legacy Systems: How Data Leaders Can Unleash CX Innovation
Many established companies have amassed a wealth of historical data over the years, often tucked away in outdated legacy systems. This data represents a largely untapped resource, ripe with opportunities for innovation and business growth. While the data was originally collected to address specific business needs at the time, companies frequently fail to recognize the full potential value it could offer – particularly in the age of AI.
Read now
Blog
What Is The Right to Be Forgotten? How Can Organizations Respond?
The "Right to be Forgotten" (RTBF) is a legal concept empowering individuals to request the removal of personal data from search engine results when it is outdated, irrelevant, or harmful to their reputation. Originating from a landmark 2014 ruling by the Court of Justice of the European Union (CJEU), the RTBF has become a cornerstone of privacy legislation, particularly under the European Union’s General Data Protection Regulation (GDPR). Discussions on similar protections are emerging globally, reflecting heightened attention to privacy in the digital age.
Read now
Blog
From Data to Business Value: Unlocking the Power of Data Products
Enterprises are awash in data. How can leaders transform all that raw data into information that delivers business value?
Read now
Blog
The Modern AI Stack Explained: Your 2025 Guide
Key takeaways
Read now
Blog
Enhanced Security: Credential Management in Alation Cloud Service
As applications increasingly migrate to the cloud, security has become a critical priority. In fact, 80% of companies experienced cloud-security incidents in 2023. Cloud security encompasses several key components, including:
Read now
Blog
Modern Data Discovery Platforms: Your 2025 Guide
Key Takeaways
Read now
Blog
How to Track AI Model Value and ROI
The hype around AI is seemingly unstoppable. On the vendor side, over half of the companies on the Forbes “Next Billion Dollar Startups” list are AI-related. On the buyer side, and fueling the hunger for AI products and services, are organizations buying into said hype. Research by Cisco finds that nearly all (98%) of organizations currently “feel urgency around AI,” with exactly half dedicating 10-30% of IT budgets to AI. And, a new forecast by IDC says global spending on AI will more than double by 2028 with a compound annual growth rate of just under 30%. Bain & Company sees even greater growth, saying the total market for AI will grow by up to 55% annually “for at least the next three years.”
Read now
Blog
AI for Data Management in 2025: Best Practices, Tools, Use Cases.
The importance of effective data management is paramount to growth and competitiveness, especially in today's environment of hyperspeed, volatility, and uncertainty As organizations increasingly rely on data to drive business decisions and power AI-driven innovations, the sheer volume and complexity of data can present significant challenges.
Read now
Blog
Ethics of AI in Healthcare: Navigating Privacy, Bias, and Trust in 2025
The rapid evolution of artificial intelligence (AI) in healthcare is reshaping how we diagnose, treat, and manage diseases. But with great technological power comes great responsibility. As AI technologies are increasingly integrated into clinical settings, the necessity for ethical frameworks and regulatory guidelines becomes paramount to ensure patient safety, equity, and effective healthcare outcomes. Addressing these concerns is critical to ensuring AI-driven innovations improve patient care while maintaining fairness and safety.
Read now
1 of 60