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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". Data preparation, governance, and privacy.

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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.

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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO

This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts. Opt for platforms that can be deployed within a few months, with easily integrated AI and machine learning capabilities.

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Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

Business intelligence is an increasingly well-funded category in the software-as-a-service market. 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.

Analytics 215
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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Step 3: Data governance Maintain data quality. The machine learning models would target and solve for one use case, but Gen AI has the capability to learn and address multiple use cases at scale. Enforce strict rules (schemas) to ensure all incoming data fits the expected format. Ensure reliability.

Insurance 164
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What is data governance? Best practices for managing data assets

CIO

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. Data governance framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy.

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When is data too clean to be useful for enterprise AI?

CIO

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

Data 211