Remove Cost-Benefit Remove IoT Remove Metrics Remove Predictive Analytics
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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

For both reasons, the role of CIOs has to embrace automation and analytical thinking in strategizing the organization’s initiatives. Until now, they were proactively involved to maximize IT efficiencies and accelerate cost savings in general. They are using analytics to help drive business growth. Extract Value From Customer.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

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What is asset reliability?

IBM Big Data Hub

When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. What is an asset?

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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Trend #5: The rise of mobile EAM solutions Mobile technology is making EAM more accessible than ever.

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

Cloudera

Blended use brick and mortar enable better pricing and convenience to consumers than digital pure-plays, and physical stores now serve as micro-fulfillment centers—through BOPIS (buy online, pick-up in-store) or curbside delivery—and drive down overall cost-to-serve. 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. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Life insurance needs accurate data on consumer health, age and other metrics of risk. And more recently, we have also seen innovation with IOT (Internet Of Things). Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case.

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