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White Paper: Enabling Business Optimization and Expense Reduction Through the Use of Augmented Analytics

Smarten

Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

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New White Paper on Operationalizing AI with Digital Decisioning

Decision Management Solutions

We recently published a new white paper Operationalizing AI: Beyond AI Pilots with Digital Decisioning. Check out the white paper here on IBM’s site (no registration required) simply by clicking on the button: The page has lots of great content about IBM’s decision automation solutions too.

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Case Study & White Paper: Sirius Builds a Cloud-Based IoT Platform for Driver Scoring

CDW Research Hub

A tech startup needed help building a scalable data platform that leverages driver data and predictive analytics. The platform Sirius built leverages IoT sensors to ingest 250,000 transactions per second and run analytics to create real-time driver scores and other analytics.

IoT 45
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Case Study & White Paper: Sirius Builds a Cloud-Based IoT Platform for Driver Scoring

CDW Research Hub

A tech startup needed help building a scalable data platform that leverages driver data and predictive analytics. The platform Sirius built leverages IoT sensors to ingest 250,000 transactions per second and run analytics to create real-time driver scores and other analytics.

IoT 40
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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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White Paper: Citizen Data Scientists Engender Business Success

Smarten

In this white paper, we will discuss the emergence and importance of Citizen Data Scientists and the role of self-serve data preparation, smart data visualization and plug n’ play predictive analysis in transforming business users into Citizen Data Scientists.

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Top 5 Resources to Understand the Role of AI/ML in Embedded Analytics 

Jet Global

When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Predictive analytics refers to using historical data , machine learning, and artificial intelligence to predict what will happen in the future.

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7 Questions Every App Team Should Ask

Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. In this white paper, we cover: The landscape of common AI use cases -- across every line of business and function in a bank. But times are changing.

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How Banks Are Winning with AI and Automated Machine Learning

Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.