Discover critical data risks before deploying AI systems: data leakage, poisoning attacks, and quality issues. Learn how to mitigate these threats and deploy AI safely.
At the beginning of June, Snowflake Summit 2025 brought together thousands of data and AI professionals in San Francisco to showcase the future of enterprise data. From the moment the first keynote…
A few years ago, a global leader in life science launched a major digital transformation. New CRM, ERP, and MDM systems were rolled out. The goal: better data, smarter decisions, full control. What…
Market consolidation is reshaping the animal health industry, presenting both challenges and opportunities. As companies merge and acquire, they must blend operations, cultures, and systems…
Explore the key stages of the data journey in our guide, designed for professionals navigating the vast data landscape. Learn how to transform raw data into actionable insights while ensuring data…
Many Animal Health and Life Science organizations haven’t yet fully embraced Data Governance and realized the value this critical function plays in ensuring data is fit for purpose, fit for use to…
A Data Lake is not a tool, nor a specific solution or product that a company can buy, install, and use. As a reference architecture, it is an organization’s mode of approach to using data in its…
A data lake is a collection of variously structured data coming from different sources and available for different users. It seems that such a solution may mean chaos. Meanwhile, it’s used by…
M&As happen all the time, but the intensity of their occurrence is cyclic, as is the global economy. M&A numbers and values always grow significantly after the economy has experienced severe shocks….
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