Remove Business Intelligence Remove Experimentation Remove Predictive Analytics Remove Visualization
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Top 8 predictive analytics tools compared

CIO Business Intelligence

But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting.

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TIAA modernizes the customer journey with AI

CIO Business Intelligence

TIAA has also equipped JSOC with AI operations (AIOps) functionality to “proactively understand what is happening with anomaly detection, incident response management, root cause analysis, and predictive analytics of different customer journeys,” Durvasula says.

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The top 15 big data and data analytics certifications

CIO Business Intelligence

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The online program includes an additional nonrefundable technology fee of US$395 per course.

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12 data science certifications that will pay off

CIO Business Intelligence

Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics. You should also have experience with pattern detection, experimentation in business optimization techniques, and time-series forecasting. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

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Smarten Advanced Data Discovery is All the Buzz!

Smarten

The Smarten Advanced Data Discovery gives users the freedom to leverage data beyond simple visual data analysis and dashboards. Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist, ETL or developer.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., Examples: Cars, Trucks, Taxis. They cannot process language inputs generally.

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Citizen Data Scientists? Yay or Nay?

Smarten

When an enterprise selects a self-serve business intelligence solution with Advanced Data Discovery , Smart Data Visualization , Plug n’ Play Predictive Analysis and Self-Serve Data Preparation , it can create an environment where business users are empowered and become greater assets to the organization.