Remove tag Business Intelligence
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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. This is accomplished through tags, annotations, and metadata (TAM). TAM management, like content management, begins with business strategy. Tagging and annotating those subcomponents and subsets (i.e.,

Strategy 266
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. Source: [link] Every business wants to get on board with ChatGPT, to implement it, operationalize it, and capitalize on it. I suggest that the simplest business strategy starts with answering three basic questions: What? (3)

Strategy 289
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Understanding Social And Collaborative Business Intelligence

datapine

Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. Let us take a look into the individual concepts of social and collaborative business intelligence to learn more about how they help companies.

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Security AI and automation are key in protecting against costly data breaches for retailers and consumer goods businesses

IBM Big Data Hub

But this growth in digital sales can come with a hefty price tag for retailers and consumer goods businesses: a much greater risk of data breaches. trillion by 2026 , businesses are accumulating massive amounts of sensitive data, including payment information from their customers.

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Cloud Analytics Powered by FinOps

Cloudera

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

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Breakthrough Moments in Enterprise Taxonomy Management

Ontotext

Not only are these ontologies capable of representing any domain of knowledge, but the structure of the data model is also transparent and intelligible to both humans and machines. Specifically, I explore the challenges of complexity , scale , explainability , and trust.

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How to Build Knowledge Graphs for Enterprise Applications with Two Industry Leaders

Ontotext

Business applications are meant to help organizations. Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. However, many times they create more headaches than benefits.