SME 2017 Insights: IIoT in Manufacturing – Not a Case of ‘If’, but of ‘How’ and ‘When’

About Plataine

Brought by Plataine, a leading provider of AI agents for advanced manufacturing. Plataine’s AI agents optimize planning and scheduling, material management, and supply chain collaboration.
Check your fit for AI based planning and scheduling.

I recently had the privilege to speak at the SME Smart Manufacturing event in Los Angeles where I presented at the Digital Transformation seminar.  During the event, I met representatives from many leading manufacturers and I came away with four key insights:

  • When it comes to IIoT, manufacturers need to ‘jump onboard or die’

The Industrial IoT (IIoT) ensures all products, processes, machines and personnel in a factory are constantly connected. From what I’ve experienced, it’s no longer a question of ‘if’ you need to adopt an IIoT solution, but rather ‘how’ and ‘when’.

Almost every manufacturing executive I spoke to at the SME event told me they are in an evaluation process or are already using connected technology to improve efficiency and quality. It seems as though it doesn’t matter what industry you are in – whether its Aerospace, Automotive, Oil & Gas, wind, etc., – when it comes to IIoT, the choice is simple: join or fade away.

  • Chief DIGITAL Officers: Corporates are bringing ‘Digital’ to the C-Suite

The pace of digital change in factories is astounding. And it isn’t just about automating production. Big data, smart sensors and artificial intelligence are causing transformation at every level. Modern factories are not only interconnected – they are also connected to the outside world: to the raw materials they are going to use, and to finished products out in the field. Using this technology properly requires transformation of existing business models.

That’s where the Chief Digital Officer (CDO) comes in. Many manufacturers at SME told me they’ve already appointed a CDO answering directly to the CEO. This newest member of the C level is there to ensure that the factory places digital technology as top priority, aligning the digital transformation process with the factory’s business strategy.

  • Insights and best-practices of advanced manufacturing are about to retire

Times are changing when it comes to knowledge of advanced manufacturing best practices. Many companies at SME mentioned that their veteran managers and operators, who have accumulated decades of experience in production best-practices, have now aged and are about to retire.

Younger recruits bring digital and tech knowledge to the production floor, however they haven’t got a traditional manufacturing background. As manufacturers see people with years of accrued experience retire, they need to think of ways to retain this expertise. Increasingly, they are now turning to software solutions to capture best practices as they maintain traditional knowledge at their firms.

  • Traceability of the production floor is becoming crucial for quality

IIoT is giving factories the ability to make massive quality improvements, and many executives at SME told me they particularly value material & part traceability and the digital thread. As they see it, the ability to instantly trace the exact material lot and batch, and digitally document tools and machines used during the production process, is crucial for auditing purposes.

For example, if their material supplier reports a specific faulty batch, the quicker they locate all affected kits and parts and contain the problem before damaged parts are processed or shipped, the better.

Amir Ben-Assa, CMO at Plataine

Don't miss new updates on your email
Your email will be handled as detailed in our Privacy Policy

The 5 Best Production Planning & Scheduling Platforms for Manufacturers in 2026

Traditional Advanced Planning and Scheduling (APS) systems remain incredibly valuable, but many were designed for a world where planners manually reacted to change. Increasingly, manufacturers are looking for software that doesn’t just create schedules but continuously improves them.
That is where AI is changing the conversation.
The newest generation of production planning platforms combines optimization engines, real-time factory data and AI to help planners make better decisions faster. Some platforms even introduce autonomous AI Agents capable of identifying disruptions, recommending corrective actions and automatically optimizing production.
Choosing the right platform, however, isn’t easy.
Some solutions are amazing at finite-capacity scheduling. Others focus on enterprise supply chain planning. A few are beginning to redefine what production planning looks like altogether.
To help narrow the field, we’ve evaluated five of the industry’s strongest production planning and scheduling platforms based on their AI capabilities

Read More >

Stop Firefighting: Why Agentic AI Is Transforming Aerospace and Defense Manufacturing Planning

Building a production plan is the easy part.
But keeping that plan intact once production begins…. That’s where Aerospace and Defense manufacturers face their greatest challenge.
We see it all the time, planners arrive with a carefully balanced production schedule (that they worked on for a good few days), only to spend the rest of the day reacting to disruptions. A delayed material shipment, an unexpected engineering change, a machine requiring maintenance, or a certified operator calling in sick can quickly unravel hours of planning.
We’ve seen this pattern across advanced manufacturing facilities around the world. The larger and more complex the operation becomes, the more time planning teams spend responding to problems instead of preventing them.

Read More >

Can AI Really Improve Material Planning and Procurement Decisions?

In manufacturing, a material decision is rarely just a purchasing decision. Ordering additional material, delaying a delivery, changing suppliers, or reallocating inventory can influence production schedules, machine utilization, inventory levels, customer commitments, and on-time delivery.
This raises some important questions.
Can AI really improve material planning and procurement decisions?
Or can it only do so if it understands the entire manufacturing operation, continuously analyzes risk, and evaluates multiple possible outcomes before recommending the next action?
Isn’t Material Procurement Just About Buying the Right Material at the Right Time?

Read More >
Before you go….
Subscribe to our blog and be the first to get the latest trends!
Your email will be handled as detailed in our Privacy Policy