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Smarten Augmented Analytics: Sophistication and Simplicity

Smarten

Discover the Smarten approach to Augmented Analytics and Advanced Data Discovery tools. Assisted Predictive Modeling – These tools enable the average business user to leverage sophisticated predictive algorithms without requiring statistical or data science skills.

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Plug n’ Play Predictive Analytics for Your Business

Smarten

How Can Assistive Predictive Modeling Help My Business Users? If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Predictive Analytics Software should be easy to implement, easy to personalize and easy to use.

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Will My Business Users Embrace Augmented Analytics?

Smarten

Advanced Analytics and Smart Data Discovery for ALL! Don’t think that advanced analytics is too complicated for your business users. You can create Citizen Data Scientists and improve the analytical abilities and outcomes for your average business user if you give them the right tools.

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Essential skills and traits of chief AI officers

CIO Business Intelligence

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models.

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Optimize Your Enterprise and Team with Mobile BI!

Smarten

Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions. Working with real-time, clear, accurate information can make all the difference.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

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Unlocking the Secrets of Your Customer Data

DataRobot

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. To move from experimental AI to production-level, trustworthy, and ROI-driven AI, it’s vital to align data scientists, business analysts, domain experts, and business leaders to leverage overlapping expertise from these groups.

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