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How AI and IoT Solutions Can Improve Your Business

Smart Data Collective

In today’s modern era, AI and IoT are technologies poised to impact every part of the industry and society radically. In addition, as companies attempt to draw better significance from the huge datasets gathered by linked devices, the potential of AI is accelerating the wider implementation of IoT. l Improved Risk Management.

IoT 133
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How data from IoT devices is changing supply chain analytics

CIO Business Intelligence

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making. That brings us to the value of timely data and analytics.

IoT 105
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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. Collecting workforce data as a tool for talent management. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.

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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. Global companies spent over $92.5 Here’s why.

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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Better customer satisfaction : An optimized supply chain allows businesses to make sure products are available when and where people want them—which can improve relationships and loyalty with customers.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given observed data X, we can predict some outcome Y. Or more simply: given X, find Y.

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The new CFO: How AI has changed the game for chief financial officers

CIO Business Intelligence

Traditionally, the work of the CFO and the finance team was focused on protecting the company’s assets and reputation and guarding against risk. It will strengthen and improve the veracity of financial data, and, most importantly, it will help CFOs take a more active role in value creation. AI will impact how the work gets done.

Finance 98