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Maximizing Manufacturing Productivity and Efficiency with Industrial AI

EAST Session: Industrial AI is more accessible than ever. This technology, long viewed as “too complex” to implement, is now a practical productivity accelerator for manufacturers. The complexity misconception stems, in part, from the thinking that integration requires tearing out current systems. However, the reality is that it’s easily compatible with most legacy systems. By layering Industrial AI, ML, and other complementary tools on top of this existing data infrastructure, manufacturers reveal new improvement areas and free key resources to focus on the work that dictates long-term success. In this session, you’ll see how Industrial AI turns today’s operational challenges into an opportunity, a springboard for growth, and a means to provide your people with essential solutions. With capabilities like real‑time data contextualization and prescriptive recommendations, Industrial AI helps: - Make smarter decisions faster - Deliver continuous, measurable value - Scale subject matter expertise enterprise-wide Join us to learn how Industrial AI amplifies your workforce, maximizes the potential of your operations, and moves it forward faster than ever.

Ronald Graves

Speaker at EAST: Ronald Graves, President, Poiema Corporation

Andres Ruiz

Speaker at EAST: Andres Ruiz, Business Development & Pre-Sales Consult • Products, Tata Technologies

Breaking the Data Bottleneck: How to Build a Scalable Machine Connectivity Strategy

EAST Session: Abstract : Are you confident that your machine monitoring solution can scale with your evolving data needs? Many manufacturers adopt IIoT solutions only to realize too late that rigid connectivity architectures limit their future growth. As manufacturing technology advances and data-driven decision-making becomes essential, off-the-shelf monitoring solutions and short-term fixes may seem convenient but often create long-term limitations. Manufacturers need a scalable, secure, and interoperable connectivity framework to maximize IIoT investments and ensure seamless data flow across their operations. At Juxtum, we help manufacturers bridge the gap between machine connectivity and actionable intelligence. In this webinar, Juxtum’s IIoT experts will uncover the most common mistakes companies make when selecting a machine monitoring platform and provide a roadmap to choosing a future-ready solution that delivers ROI while supporting long-term digital transformation. Significance/Importance : Why Is This Topic Important? Manufacturers rely on IIoT for real-time insights, but many adopt machine monitoring solutions without considering long-term connectivity needs. Early off-the-shelf solutions often create data silos, limiting scalability and interoperability. As Industry 4.0 advances, seamless, future-proof connectivity is essential for optimizing operations. Without it, businesses face costly system overhauls and missed efficiency gains. This webinar helps manufacturers—both new and experienced—avoid common pitfalls, choose a sustainable solution, and ensure their machine data remains an asset, not a barrier, to growth. 

Empowering Manufacturing: How to Drive Compliance & Fortify Against Cyber Risks

EAST Session: Abstract : Manufacturers have unique technology needs that require both a robust and extremely stable IT infrastructure. At the EASTEC Conference, part of the Manufacturing Technology Series, CompassMSP will showcase how cutting-edge IT and cybersecurity solutions empower manufacturing businesses to stay connected, secure, and compliant. As regulatory requirements evolve and cyber threats grow, manufacturers need robust technology solutions to streamline operations and safeguard sensitive data. See how industry-specific managed IT and security services can enhance productivity, ensure compliance with industry standards, and fortify manufacturers against cyber risks. Attendees will discover how CMMC service offerings drive efficiency, ensure regulatory compliance, and accelerate growth and productivity, empowering manufacturers to stay competitive and secure in an evolving industry. Significance/Importance : As regulatory requirements evolve and cyber threats grow, manufacturers need robust technology solutions to streamline operations and safeguard sensitive data, including but not limited to CMMC. If you want to keep your business, intellectual property, and customer information safe from cybersecurity risks, the Cybersecurity Maturity Model Certification (CMMC) is a best-practices cybersecurity framework every manufacturer should consider to protect their organization. If you are in the defense/DoD supply chain or are considering entering this area, CMMC will be a requirement for all contracts and will affect every contract coming down the line thereafter.  

Leveraging Advanced Technologies to Improve Manufacturing Operations

EAST Session: Effective data collection is critical for optimizing production lines, yet traditional methods such as manual recording and PLC-coded data collection are fraught with inefficiencies and inaccuracies. Manual data entry often misses short downtime events and is subject to operator bias, while PLC-based systems suffer from inconsistencies, excessive costs, and revalidation challenges. The future of data collection lies in automation, modular modeling, and intelligent data processing, providing a foundation for digital transformation and sustainable manufacturing excellence. This session will explore the following concepts: · Advanced data collection goes beyond monitoring bottleneck operations, incorporating machine-level insights across all assets. · A multi-layered approach – integrating real-time signal processing, logic engines, and high-speed data acquisition – enhances fidelity, reduces integration costs, and improves root cause analysis. · Additionally, Aa Fault Learning approach dynamically identifies and ranks faults, leading to better diagnostics and predictive maintenance. · By leveraging digital twins, synchronizing multiple data streams, and enabling fast data validation, companies can significantly improve operational efficiency. · A robust data collection strategy supports MES, OEE, and AI/ML applications, ensuring accurate modeling, predictive analytics, and enterprise-wide standardization.