Driving Innovation: Direct Imaging vs. Conventional Exposure
It’s Only Common Sense: Selling to Today's Generation of Buyers
Dan’s Biz Bookshelf: ‘Believe in Better'
AI Assisted Humans Will Win The Next Industrial Revolution
April 10, 2018 | Business WireEstimated reading time: 1 minute
SEE Forge, creators of FAT FINGER, an Industrial Internet of Things (IIoT) software company, released “AI Coach”, an Artificial Intelligence enhancement that provides field workers and front line employees with real-time intelligent alerts to coach users to be safer and more productive.
“Think of an all-knowing coach looking over your employee’s shoulder, guiding them to be the most productive they can be and to go home safe,” said James McDonough, CEO of SEE Forge. “Companies not using data to help their employees be the best they can be, and most importantly go home safe are not serving them or their shareholders to the highest standard possible.”
With a continued push to be the leader in the Industrial IoT and Industry 4.0 market, FAT FINGER is leveraging AI and the data flowing through companies’ operational processes, procedures, forms and workflows to suggest safer and more productive actions while front line workers do their jobs.
For example, front line workers using FAT FINGER digital forms and procedures to do asset inspections, production rounds, maintenance tasks, quality control and safety observations not only have quick access to all the instructions and can capture clean data, but also are now alerted to important items that need attention.
“If your operations are on paper, you are miles behind your competitors and putting your company under risk. Leaders in your industry have already gone digital and now are uncovering valuable data insights,” said McDonough.
About SEE Forge
SEE Forge creators of FAT FINGER is a leading software platform that helps companies digitize any procedure and communication, connect IoT devices, gain real-time visibility to their people's activity, and intelligently coach them to take safer, smarter actions.
Share on:
Suggested Items
Specially Developed for Laser Plastic Welding from LPKF
06/25/2025 | LPKFLPKF introduces TherMoPro, a thermographic analysis system specifically developed for laser plastic welding that transforms thermal data into concrete actionable insights. Through automated capture, evaluation, and interpretation of surface temperature patterns immediately after welding, the system provides unprecedented process transparency that correlates with product joining quality and long-term product stability.
Smart Automation: The Power of Data Integration in Electronics Manufacturing
06/24/2025 | Josh Casper -- Column: Smart AutomationAs EMS companies adopt automation, machine data collection and integration are among the biggest challenges. It’s now commonplace for equipment to collect and output vast amounts of data, sometimes more than a manufacturer knows what to do with. While many OEM equipment vendors offer full-line solutions, most EMS companies still take a vendor-agnostic approach, selecting the equipment companies that best serve their needs rather than a single-vendor solution.
Keysight, NTT, and NTT Innovative Devices Achieve 280 Gbps World Record Data Rate with Sub-Terahertz for 6G
06/17/2025 | Keysight TechnologiesKeysight Technologies, Inc. in collaboration with NTT Corporation and NTT Innovative Devices Corporation (NTT Innovative Devices), today announced a groundbreaking world record in data rate achieved using sub-THz frequencies.
Priority Software Announces the New, Game-Changing aiERP
06/12/2025 | Priority SoftwarePriority Software Ltd., a leading global provider of ERP and business management software announces its revolutionary aiERP, leveraging the power of AI to transform business operations.
Breaking Silos with Intelligence: Connectivity of Component-level Data Across the SMT Line
06/09/2025 | Dr. Eyal Weiss, CybordAs the complexity and demands of electronics manufacturing continue to rise, the smart factory is no longer a distant vision; it has become a necessity. While machine connectivity and line-level data integration have gained traction in recent years, one of the most overlooked opportunities lies in the component itself. Specifically, in the data captured just milliseconds before a component is placed onto the PCB, which often goes unexamined and is permanently lost once reflow begins.