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Why Big Data Project Management Can Be So Difficult

CTOvision

Big data is extremely beneficial to businesses, and gathering it is now easier than ever with today's technology. When it comes to the management of big data, therein lies the challenge. There are several reasons that managing big data remains a challenge. How to Manage the Big Data.

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Big Data: The Hadoop Business Case

CTOvision

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

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Big Data Can Be Used for More Than Just Targeting A Customer Base

CTOvision

Big data has almost always been primarily used to target clients using tailored products, targeted advertising. This has skewed the use of big data that often everyone simply assumes big data is for targeting the customer base. Brigg Patten. Reworking Internal Processes. Creating Better Products.

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Digital listening reveals 3 leading innovation drivers

CIO

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Data Storage: Computer scientists and programmers assert that blockchain offers certain advantages for data storage compared to alternatives.

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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

Netflix Tech

Before joining Netflix, she worked in the advertising and e-commerce industries as a backend software engineer. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

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How mobile apps and cloud accelerating Industry 4.0 transformation.

OTS Solutions

also known as the Fourth Industrial Revolution, refers to the current trend of automation and data exchange in manufacturing technologies. It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process.

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12 Impact of Artificial Intelligence on Mobile App Development

Xicom

Table Of Contents 1) Machine Learning in Mobile Apps 2) Predictive Analysis 3) Virtual Personal Assistants 4) Improved User Experience 5) Augmented Reality 6) Blockchain Technology 7) Facial Recognition 8) Internet of Things 9) Cloud Computing 10) Cybersecurity 11) Marketing and Advertisements 12) Big Data Q1: What is Artificial Intelligence?