IoT Prescriptive Analytics Risk Strategy 
Rocket-Powered Data Science
JULY 19, 2023
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.
Rocket-Powered Data Science
JULY 14, 2023
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. These may not be high risk. They might actually be high-reward discoveries.
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BizAcuity
MARCH 31, 2022
85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place.
Rocket-Powered Data Science
OCTOBER 6, 2023
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?
datapine
NOVEMBER 27, 2019
In 2020, BI tools and strategies will become increasingly customized. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. 4) Predictive And Prescriptive Analytics Tools. How can we make it happen?
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