Predictive Maintenance, Big Data, and IOT

The Industrial Internet of Things (IIoT) market is growing fast and is expected to reach $500 billion by 2020. At the heart of IIoT is predictive maintenance, which focuses on reducing maintenance costs and eliminating potential and unexpected machine failures, while automating operations to boost revenue.Watch this predictive maintenance webinar with Bernard Marr, best-selling author of the book Big Data in Practice, and James Stascavage, Intelligence Technology Manager at Caterpillar Marine. They share several fascinating examples of companies (including Caterpillar) who have improved operational efficiency and overall ROI by taking advantage of big data generated from the internet of things. You also get insights into the following questions:
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Data Storytelling With Multiexperiences

Gartner

Discussion Topics: - What is a data story - When and how should data storytelling be used - Which new skills and techniques do you need to create compelling data stories - Which experiences can help tell your story beyond dashboards on a 2D screen
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Insights & Analytics: Digging into the Data to Measure and Accelerate Trust Programs

It’s no secret that trust provides a competitive advantage, with trusted companies outperforming their market peers. Boards, executives, and businesses across the globe want to find ways to build trust with consumers, employees, investors, and all stakeholders. But how do you define metrics, quantify, and measure trust?
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AI, Data & Analytics 2021 Annual Spend & Trends Report Debrief

Join ADA and the Digital Analytics Association as we discuss the trends, challenges and innovations that are shaping the future of enterprise data science.
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Why BI Programs Fail to Scale: The Data Decision Gap

The global investment in digital transformation estimated to exceed $10 trillion over the next five years. Despite the tremendous resources going towards this cause, studies show that up to 70% of these initiatives will not achieve their stated goal. What does it take to win?
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