Remove Business Intelligence Remove Data Transformation Remove Digital Transformation Remove Modeling
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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

“All they would have to do is just build their model and run with it,” he says. But to augment its various businesses with ML and AI, Iyengar’s team first had to break down data silos within the organization and transform the company’s data operations.

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The 10 biggest issues IT faces today

CIO Business Intelligence

The volume of work coming at IT is one of the top issues identified by CIOs, researchers, and executive advisors, or as Elizabeth Hackenson, CIO of Schneider Electric, puts it: “The accelerated demand for digital capabilities throughout the enterprise simultaneously.”. “In Angel-Johnson shares that perspective. “I

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Time for New Partnership Paradigms to Be Future-fit

CIO Business Intelligence

However, this partnership model cannot keep pace with an always-changing technology landscape in which the skill gaps and lack of resources are increasing. The new models recognise this, drawing tech vendors to shift toward innovation-focused roles and become partners in the client’s success.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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Breaking down data silos for digital success

CIO Business Intelligence

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

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Lay the groundwork now for advanced analytics and AI

CIO Business Intelligence

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. That hard, ongoing work includes integrating siloed data, modeling, and understanding it, as well as maintaining and securing it over time.