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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

When data science was in its “early days” within businesses, the data scientists mostly worked offline with static sources (like databases or web-based reports) to build and test analytics models for potential deployment in the enterprise.

Analytics 166
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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Integrating IoT and route optimization are two other important places that use AI. The healthcare industry stores ridiculously high amounts of big data- both structured and unstructured for research & development, population health management, technological innovations, patient health history and their medical reports management.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

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Hype Cycle for Supply Chain Strategy, 2020

Get insights in this Gartner report to find out where to invest and what you should adopt as standard business practices. Read the latest insights on AI, IoT, network design, machine learning, prescriptive analytics and other hot technologies. Vendors recognized in the report. --> What’s inside?

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

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What is the Benefits of Real Time Data?

Jet Global

According to a recent Forbes article, “the prescriptive analytics software market is estimated to grow from approximately $415M in 2014 to $1.1B There are a number of reasons why: You can run a report that has the most updated information , not from one month ago.