Demystifying Industrial IoT Connectivity

Looking for a way to advance to Industry 4.0 while obtaining a competitive edge AND driving new revenue though the Industrial Internet of Things (IIoT)? IIoT is driving disruptive transformation by breaking down product silos, increasing engineering efficiency, enabling cross-functional innovation, and creating new value-added connected services. “Eighty percent of the industrial segment believes that the IoT will be transformative and disruptive, but 90% feel they are unprepared for these changes”, according to Derek O’Halloran, head of information technology and electronics industries, and member of the leadership team, at the World Economic Forum.
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Spotlight

OTHER ON-DEMAND WEBINARS

The Present and Future of AI

Gartner

The more you get to know artificial intelligence (AI), the less scary it gets. People increasingly expect AI to make our work and personal lives easier. But what benefits can it really yield for your organization today and into the future? In this complimentary webinar, we look at where AI can fit in your organization, how you can maximize AI initiatives, and what we can realistically expect AI to do for us in the future.
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4 Key Considerations For Your Big Data Analytics Strategy

Arcadia Data

Watch this webinar with industry experts from Enterprise Management Associates and Arcadia Data to learn: The state of big data analytics today, How data-driven organizations push analytics to the front line, Why exploration/discovery requires detailed data, The necessity of integrating streaming data in real time, Real world examples of implementation.
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Smarter than Spreadsheets: How AI Will Supercharge Your Resource Planning in 2023

Working smarter not harder is the goal of every business, but in the architecture and engineering space, where margins can be razor-thin, it’s imperative. So, how do firms work smarter without spending a lot of time wising up? By leveraging artificial intelligence—or AI—for their resource planning.
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How to Leverage AI, Machine Learning and RPA in P2P & the Finance Function Today: Value Drivers & Limitations

Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) have been the technologies most hyped and partially embraced - by both individual enterprises and software solution providers. It’s time to take a step back and evaluate how mature the application of these technologies is today and in which scenarios they prove to be beneficial, while shining a light on the limitations and pitfalls to avoid. This will help guide your decision-making when planning your continued automation journey.
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