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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). All these elements have a significant role in analytic projects.

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AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Machine learning has two imminent, profound implications for individuals and companies using BI and analytics applications.

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What is IT operations analytics?

IBM Big Data Hub

It is often a part of AIOps , which uses artificial intelligence (AI) and machine learning to improve the overall DevOps of an organization so the organization can provide better service. Predictive analytics helps to optimize IT operations by intervening before an incident happens. billion business.

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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. So, how can we bridge the gap between positive business outcome and the technology required to get there? Applied Analytics. Key Language of Applied Analytics.

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Understanding Augmented Analytics and Its Evolution

Smarten

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. Augmented Analytics vs Predictive Analytics is not really a question.