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Hi there — here are a few resources you can skim quickly and share with your team.
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A Practical Guide to Assessing Your Industrial Digital Transformation Needs
The SMKL method, developed by Mitsubishi Electric, provides a practical framework for assessing industrial digital transformation needs by mapping an organization's current digital maturity against its future goals. Using a simple two-axis matrix, it identifies the right hardware and software solutions to move from data collection through to full process optimization. This guide equips organizations with the tools, terminology, and real-world examples needed to accelerate their digital transformation journey.
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How Possible Happens
Industrial manufacturers are navigating a widening 'value void' between technology investment and measurable outcomes, with 82% agreeing that success now depends on the adoption of new technologies. Drawing on a global survey of 500 industrial manufacturers, this report uncovers the four key attributes—Vectors to Value—that separate the most productive organizations from the rest. Leaders who embed AI and agentic automation directly into operational workflows are best positioned to close the gap and drive sustainable growth.
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The Manufacturer's Guide to Modernize Commercial Operations
Manufacturers face persistent revenue and margin leakage caused by fragmented data, siloed systems, and disconnected commercial processes. By adopting an agentic AI-powered platform, manufacturers can unify customer data, accelerate sales cycles, and integrate revenue management to significantly reduce leakage and drive profitability.
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Unlocking Real-Time Efficiency: How Agentic AI and Observability Platforms Transform Process Manufacturing
Agentic AI and unified observability platforms are transforming process manufacturing by enabling real-time operational control, predictive maintenance, and regulatory compliance at scale. With the vast majority of manufacturers already embracing generative AI, the focus is shifting toward governance, data security, and end-to-end visibility as critical pillars of resilient industrial operations. Organizations that adopt observability-first strategies and phased AI deployments will unlock measurable efficiency gains while managing risk effectively.
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