AI & COVID-19: Optimize

To maintain operations at the onset of COVID-19, corporations took swift, unprecedented action to counteract the pandemic’s sweeping impacts on market demand, workforce, supply chain, short-term costs and liquidity. For many corporations, this involved redirecting investment from long-term initiatives to short-term remedies. For others, expediting the execution of long-term strategies was critical to survival.

Corporations that chose to accelerate, rather than delay, their digital transformation initiatives are now leveraging Artificial Intelligence to enhance employee safety and security, reduce short-term costs and improve liquidity. In the mid-term, that same investment will allow them to stabilize revenue, further reduce OPEX, prioritize CAPEX, and lay the groundwork for competitive advantage.

How will Artificial Intelligence empower corporations to build resilience and optimize performance amidst supply chain disruption?

Elutions’ highly-automated and autonomous Artificial Intelligence solution, Maestro, integrates value chain systems and infrastructure to dynamically coordinate activity and optimize net performance, improving OPEX, CAPEX, yield and revenue.

The following Artificial Intelligence use cases are paramount to building resilience and optimizing performance in industry:

  • End-to-End Operational Alignment & Planning: By overlaying and interconnecting enterprise systems, assets and processes with AI and automation, corporations gain granular visibility and foresight into enterprise-level performance and risks, and unparalleled agility in aligning operational parameters, activities and decision-making across processes, enabling otherwise unachievable improvements in operating costs, yield and revenue.

  • Dynamic Process, UCP & Yield Optimization: By enabling dynamic, system-driven performance prediction and operating parameter adjustment at each stage of production, automated Predictive Preventative Maintenance work-order creation at the asset-component level, and automated alternate control sequencing in the event of a sensor, asset or process failure, corporations autonomously optimize process efficiency and product quality while avoiding unplanned downtime, minimizing the Unit Cost of Production, maximizing effective capacity, throughput and yield, and stabilizing revenue in line with design capacity.

  • Predictive CAPEX Planning & Budgetary Prioritization: By autonomously modeling asset health, availability and use-life, business-casing the margin impact of replacement vs continued O&M, and prioritizing CAPEX projects in line with their projected impacts on safety & security, uptime and margin, corporations plan and allocate CAPEX with unparalleled precision, efficiency and flexibility, optimizing IRR.

  • Value Chain Visibility, Scenario Modeling & Strategy Execution: By overlaying and interconnecting value chain systems and processes with AI, corporations gain unprecedented visibility and foresight into value chain performance and risks, certainty in strategic planning via scenario modeling, and oversight in execution, altogether allowing corporations to proactively manage rather than reactively respond to value chain opportunities and disruption.

Beyond mid-term resilience and performance optimization, corporations have placed their bets on Artificial Intelligence to thrive in the long-term. Stay tuned for more market intelligence on how AI is helping corporations gain competitive advantage.


Up Next for NCW: Digitization and Chemical Manufacturing


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College and University Campuses can Combat COVID-19

It’s graduation season around the world and for what seems like the first time, graduation will not commence per usual. The celebratory hustle and bustle of college campuses at this time of year is now replaced with empty classrooms, haunted hallways and desperate hopes that students will return in the Fall. The truth is, nobody knows what will happen in the Fall semester, but students aren’t the only ones feeling the immediate impacts of campus closures. Colleges and Universities are now scrambling to address not only the concerns of parents, students, and staff but also the significant impacts on endowments, revenues and their budgets going forward.

An Inside Higher Ed survey of 172 campus leaders shows that the number one concern remains bringing the students back to campus safely and continuing their high standards for education off campus. However, the financial focus is right up there, “more presidents citing a desire for financial health and operational planning support (60 percent) than for anything else.” Artificial Intelligence can address operational concerns while freeing up financial resources for other concerns such as faculty training and instructional technology.

Source: Inside Higher Ed

While revenues are experiencing immediate impact, the need to protect buildings and assets, ensure environmental compliance is met, and reduce building baseloads becomes more critical as staff and services are less present. After all, students need a campus to return to. Artificial Intelligence, and Maestro specifically, is primed to not only address these impacts in the immediate term but provide long-term stability and digital transformation.

At an operational level, buildings have been closed but the need to maintain them to prevent asset degradation and compliance requirements still need to be met. With fewer people onsite to identify and manage issues and IT stretched with online learning, now more than ever AI and autonomous or remote adoption of solutions need to be applied. At this point, it is likely that there are already significant maintenance backlogs, which AI can address and mitigate future negative impacts of.

The short-term, mid-term and long-term impacts can all be addressed through Maestro artificial intelligence in the following ways:


Short Term: Reduce costs, ensure compliance and protect assets through improved approach to managing assets with limited onsite staff. Optimize baseloads. Identify and prioritize critical failures. Iron out inconsistencies in data. Move to PPM.

Mid Term: Significant cost savings in resource efficiency, maintenance, increase asset life use, reduced capital expenditure.

Long Term: Enhanced scenario modelling for space optimization and asset acquisition ROI assessments.

Benefits like this can be achieved through Maestro’s artificial intelligence and neural network computing capabilities to target significant energy and maintenance cost reduction opportunities through automated, no-cost measures across the campus, eliminating the need for direct human interaction with the on campus assets. A run-rate to deliver a benefit of >$20m annually could easily be achieved in as little as 60 days through a rapid deployment of the technology and the prioritization of the highest energy cost consuming facilities.

In an effort to focus on creating a stable environment for students to come back to, Higher Education Institutions must turn to AI as a remedy for immediate negative financial and operational impacts caused by COVID-19. To learn more about how AI can turn your business operations around, stay tuned for our COVID-19 & AI series or contact our team today to learn more.


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