Remove Cost-Benefit Remove Data Analytics Remove IoT Remove Predictive Analytics
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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

Social media, blogging, and microblogging are all essential communication data sources. A fresh photo, a text message, or a search query contributes to the growing volume of big data. IoT Sensors generate IoT data. Smart devices use sensors to collect data and upload it to the Internet.

Big Data 101
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Why Data-Driven Outsourcing Can Be a Massive Win for Your Business

Smart Data Collective

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Control Operational Costs.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.

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10 ways the oil and gas industry can leverage digital twin technology

IBM Big Data Hub

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. What is a digital twin?

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Brick and Mortar Stores are Now Built Brick by Brick with Digital Insights

Cloudera

They are armed with more knowledge than ever before, as a result, four strategic pillars have emerged that have resulted as leading retailers and brands have deployed a data-centric strategy enabling a customer-first approach. Reinventing Brick and Mortar is Delivering Fresh Customer Experiences.

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

The emergence of massive data centers with exabytes in the form of transaction records, browsing habits, financial information, and social media activities are hiring software developers to write programs that can help facilitate the analytics process. Software development has made great strides in terms of saving thanks to Big Data.