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

Smarten

No matter the reason or the goal, when an enterprise chooses the right Augmented Analytics solution and carefully plans for and executes its implementation, it can optimize business results, reduce expenses and improve its market position, customer satisfaction and user adoption, and it is key to transforming business users to Citizen Data Scientists (..)

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How Machine Learning Enhances Momentum of Cryptocurrency Price Movements

Smart Data Collective

Interestingly, nearly 200 hedge funds began specializing in cryptocurrency trading in the 12 months before that white paper was published. You can begin evaluating the results and possibly present them in a visual format. You should also track the accuracy of your algorithms and tweak them as necessary for optimal efficacy.

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Why You Need End-to-End Data Lineage

erwin

This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience. As I mentioned above, the three Vs of data and the integration of systems makes it difficult to understand the resulting data web much less capture a simple visual of that flow.

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Analytics Technology Redefines Social Media Marketing in Sports

Smart Data Collective

Deloitte covered some of the changes in a white paper titled How data can help drive sports sponsorship and fan engagement. These graphics, showcasing team lineups, game statistics, and engaging visuals, enhance the fan experience and generate excitement leading up to a match.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

By Robert Thanaraj , Ehtisham Zaidi , and 2 more. Gartner suggests in the article that successful Data Engineering teams have two crucial challenges. How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done.

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Responsible AI Relies on Data Literacy

DataRobot

Data literacy is the ability to understand data science and AI applications critically using basic data visualization, communication, and reasoning skills. WHITE PAPER. It is a key component of developing responsible AI, and promotes trust not only in AI concepts but also in individual AI models. What Is Data Literacy?

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Transforming the Future of Learning with Analytics

Sisense

Understanding data on learning habits and preferences is key to optimizing learning and development (L&D) outcomes in the evolving workplace. Learning Pool’s white paper Measuring the Modern Learner Experience explains how an LRS specifically stores xAPI statements, which at their most basic level combine an actor, a verb, and an object.