Walk into a typical mid-size plant, and the press line may well run on a PLC older than some of the operators. It works. But its data never leaves the cabinet. Planning lives in SAP and has no clue that press No. 3 has thrown the same fault since Monday. One late container from overseas, and by Thursday the week's plan is fiction. That's usually when plant managers start calling IT integrators who can hook old gear up to new systems without a month of downtime.
IT and OT people used to sit at different lunch tables, more or less. IT had servers and ERP. OT had PLCs and SCADA, on networks guarded like a family recipe.
Here's the thing. That silence costs money. A conveyor motor bearing starts vibrating days before it fails. The signal is there. It just sits in a plant historian no analyst ever opens.
Convergence fixes exactly that. What does that look like? An IoT gateway goes into the cabinet, and vibration readings finally land where people can see them. Predictive Maintenance models chew through them in the cloud. Can the line run 10% faster? That gets checked on a Digital Twin, not on real steel.
Sounds logical, right? Well, the cloud is the easy part. The hard part is old controllers speaking Modbus with zero encryption. And two teams who want opposite things: IT wants patches on Tuesday, OT wants nothing rebooted. Ever. Making them share one dataset is the CTO's job now.
Accenture handles manufacturing through Industry X, a unit that grew by buying engineering firms like umlaut. So consultants and engineers sit in the same room.
DXC has worked with manufacturers for over 45 years. It now manages more than 4 million plant production points, and IDC MarketScape named it a Leader in Industrial IoT.
Much of Cognizant's manufacturing work targets a dull but costly problem: shop-floor numbers that never reach ERP.
Siemens builds the controllers behind many of the world's lines. Its Xcelerator portfolio adds the software layer on top.
Next to its IT business, HCLTech keeps a sizeable engineering and R&D arm. Handy when code meets physical equipment.
In 2020 Capgemini took over Altran, and with it came thousands of engineers. That deal shaped its Intelligent Industry offering.
IBM's manufacturing work mostly revolves around Maximo. Plants use it to service equipment by condition, not calendar.
Infosys pairs engineering services with its Cobalt cloud and Topaz AI. A fit for upgrading IT and plant systems at once.
Picture it: line stopped, every HMI red, somebody's hand already on the main switch. Bad idea.
Picking one winner here doesn't make much sense. Siemens knows controllers better than anyone on it. Where Accenture, DXC or Capgemini tend to shine is the messy middle, making cloud, data and security work together. For a given plant, it comes down to boring questions. How old is the equipment? Five sites or fifty? Is OT security more than one firewall nobody has touched since 2015? A pilot on a single line usually tells more than any sales deck. Pick one number, say OEE or scrap rate, and watch it for a quarter.
IT/OT convergence: what is it, really? Machines on the floor and business systems finally look at the same data, without anyone exporting spreadsheets by hand.
Where does Predictive Maintenance save time? Bearings rarely die without warning. They heat up and rattle, and a sensor catches it early. The swap happens during Sunday's planned stop, not halfway through Tuesday's shift.
What is an MES for? It's the shop floor's logbook, only live: which order runs where, what batch, what went wrong.
Do old machines have to go? Rarely. A retrofit sensor plus a gateway can get data out of a press built in the nineties.
Why all the fuss about SCADA security? Ransomware groups like factories. Every hour of stopped production pushes the owner closer to paying.
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