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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Data visualization: painting a picture of your data. Thomas, and Kristin A.

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Disrupt and Innovate in a Data-Driven World

Cloudera

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. One of the most important is in the field of marketing.

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AIOps reimagines hybrid multicloud platform operations

IBM Big Data Hub

Moreover, there are often duplicate events due to full-stack level observability and these events result in data silos. Both the continuous delivery tooling and the continuous operations tooling ingest all the data into the AIOps engine shown at the top (box 7: AIOps Engine). Predictive analytics to show what will happen next.

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Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications. Write different rules for each category.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Ever since the digitization of casinos, casino managers are being exposed to a great deal of data. Hidden tangled within this sea of data lie many insights, which can open up new opportunities for growth and revenue. This is what makes the casino industry a great use case for prescriptive analytics technologies and applications.