Remove Business Intelligence Remove Cloud Data Remove Natural Language Processing
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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. Ensure that data is clean, consistent, and up-to-date.

Analytics 203
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BI Tools Comparison to Improve Data Clarity | Women in Big Data

Women in Big Data

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Its drag-and-drop functionality simplifies the process of creating reports and dashboards.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

This allows users to accomplish different Natural Language Processing (NLP) functional tasks and take advantage of IBM vetted pre-trained open-source foundation models. Encoder-decoder and decoder-only large language models are available in the Prompt Lab today. To bridge the tuning gap, watsonx.ai

AI 74
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What Is Data Intelligence?

Alation

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Let’s take a closer look at the role of DI in the use case of data governance.

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The AI Trends Reshaping Health Care

Dataversity

Click to learn more about author Ben Lorica. Applications of AI in health care present a number of challenges and considerations that differ substantially from other industries. Despite this, it has also been one of the leaders in putting AI to work, taking advantage of the cutting-edge technology to improve care. The numbers speak for […].

AI 52
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Process Mining – Ist Celonis wirklich so gut? Ein Praxisbericht.

Data Science Blog

Ich kann lediglich für den Raum D/A/CH sprechen, in dem ich für Unternehmen in nahezu allen Branchen zu Process Mining Beratung und gemeinsam mit meinem Team Implementierung anbiete. Dabei arbeiten wir technologie-offen und mit nahezu allen Tools – Und oft in enger Verbindung mit Initiativen der Business Intelligence und Data Science.