As AI reshapes business, traditional data storage is no longer enough. Enterprises must adopt lifecycle management to secure, ...
Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range ...
Cost and profitability management is at the heart of business decision-making and effective strategy. There are many factors ...
As startups build their own AI model, there’s one critical aspect that many companies tend to overlook—the high rate of ...
Recently, the National Data Bureau released the first batch of 104 high-quality dataset cases with promotional demonstration value, and China Telecom's "Large Model High-Quality Dataset" stood out ...
Some AI chatbots rely on flawed research from retracted scientific papers to answer questions, according to recent studies.
Minitab, LLC, the global leader in data collection, preparation, statistical analysis, predictive analytics, and process performance improvement, and the Spanish Association for Quality (AEC), a ...
Strong data management practises include enforcing data quality standards, securing data access, tracking lineage, and enabling ongoing validation. These steps help organisations avoid the downstream ...
AI and ML tools are enhancing data management and process control in bio/pharmaceutical manufacturing, with early adoption in process development and emerging use in commercial manufacturing.
The FDA draft guidance "Considerations for Complying with 21 CFR 211.110" raises points to consider regarding drug products ...
The shift from remote patient monitoring to remote patient management symbolizes a broader mindset change, focusing on actionable, value-driven care. Overall, the conversation underscores the ...
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