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Data monetization: driving the new competitive edge in retail

CGI

Data monetization: driving the new competitive edge in retail. Retailers are fully aware that their future relies largely on their ability to use data efficiently. However, in today’s dynamic and highly competitive retail sector, retailers need to accelerate their plans and commit resolutely to the path of data monetization.

Retail 96
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.) They may also use tools such as Excel to sort, calculate and visualize data.

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Application modernization overview

IBM Big Data Hub

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. We will explore key areas of acceleration with an example in this article.

Cloud 90
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Attacks against machine learning — an overview

Elie

This can be used, for example, to steal stock market prediction models and spam filtering models, in order to use them or be able to optimize more efficiently against such models. This post explores each of these classes of attack in turn, providing concrete examples and discussing potential mitigation techniques. ensemble learning.

Mining 107
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How to Take Your Business to The Next Level with Data Intelligence

erwin

Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Great examples are BMW Mini , Comfort Keepers, and Teleflora. Apply real-time data in marketing strategies. What Is Data Intelligence?

Analytics 103
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Attacks against machine learning — an overview

Elie

This can be used, for example, to steal stock market prediction models and spam filtering models, in order to use them or be able to optimize more efficiently against such models. This post explores each of these classes of attack in turn, providing concrete examples and discussing potential mitigation techniques. ensemble learning.

Mining 91
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Top GRC Tools & Software for 2021

eSecurity Planet

Further, managing the short-term and long-term policies and procedures of your organization can be challenging without an effective GRC strategy in place. LogicManager’s GRC solution has specific use cases across financial services, education, government, healthcare, retail, and technology industries, among others. RSA Archer.