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Data trust and the evolution of enterprise analytics in the age of AI

CIO

The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.

Analytics 145
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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Managing data science in the enterprise.

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What is data analytics? Analyzing and managing data for decisions

CIO

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Analytics 203
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Decision intelligence: The new BI

CIO

Business intelligence (BI) platforms are evolving. By adding artificial intelligence and machine learning, companies are transforming data dashboards and business analytics into more comprehensive decision support platforms.

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What is business intelligence? Transforming data into business insights

CIO

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. How many members have we lost or gained this month?

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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

By handling large amounts of data to analyze and benchmark lines of business, BI promises to help identify, develop, and otherwise create new revenue opportunities. Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy.

Analytics 215
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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

Additionally, careful adjustment of hyperparameters such as learning rate multiplier and batch size plays a crucial role in optimizing the model’s adaptation to the target task. The capabilities in Amazon Bedrock for fine-tuning LLMs offer substantial benefits for enterprises.