Data collection has taken many forms in the history of manufacturing, and now is the time to embrace the most efficient form yet - artificial intelligence. Guest speaker, Akshat Thirani, shares how he solved the software disparity between computer engineers and manufacturers and created a tool to enable manufacturing leaders to meet their goals as efficiently as possible. AI isn’t something to fear. Without change - nothing will happen in your business!
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From India to Chicago: Akshat’s manufacturing journey
Growing up in India, Akshat’s childhood was saturated in the manufacturing industry. All of his family and friends had some part in the local manufacturing and production business, and his father raised his children with a manufacturer's mindset. With manufacturing in his blood, Akshat set off for college at the age of 17, studying design engineering and computer software. It was at school that he first noticed the gaping disparity between what computer software engineers were utilizing and what leading manufacturing engineers were using - even though the manufacturers were handling some of the most complex and technical work in the world. Akshat knew he needed to create a tool that would enable manufacturers to work and live to their full potential - a tool that would help them track production time, maintenance, and the data produced by their machines.
Why manufacturers need to embrace AI and more efficient data collection
Akshat understood that it was no trivial thing to join an AI tool to a machine and start collecting data. Many shops utilize both old and new machinery - making the job of AI more difficult. Akshat knew that the tool he was creating needed to be simple and able to read the “heartbeat” of each machine and distinguish what job was being completed.
The “heartbeat” of a machine is the signature electrical current that it produces. During his senior year in college, Akshat and some of his colleagues created the prototype AI tool he had dreamed of. It eventually became the answer to the machinist’s problems with efficient data collection. Instead of jotting down on pieces of paper or having to manually insert data about a machine or job into an Excel spreadsheet, AI can be hooked up to a machine and learn the heartbeat of specific jobs and functions. AI then transmits that data to a centralized, online platform through cellular data - allowing the manufacturing team to quickly read the pulse on their machinery and work.
Meeting the needs of the Metal Working Nation through artificial intelligence
Every individual on a manufacturing team has expertise that is wasted when they are required to spend time collecting, recording, and analyzing data from each machine. Instead of having the professionals do the busywork, AI can read, transmit, organize, and analyze the data outsourced by the machinery. Providing real-time data to team members, Akshat’s AI tools can record the speed of each machine being used, which machines need maintenance, the estimated timetable for a piece or job, and the reasons why a machine is not running at optimum capacity. Meeting the core manufacturing goals of simplicity and practicality, AI is something that the leaders of the Metal Working Nation need to be taking seriously and educating themselves on.
Ensuring that your technology fits your company goals
Every manufacturing business will have different long-term goals and immediate needs. Akshat encourages listeners to walk through their shops and talk with their team members to identify what needs to be accomplished through an AI tool such as Akshat’s. Calculating the cost of integrating AI into the system may be surprisingly less than what is being spent on manual data collection. Identify what you need to accomplish work more efficiently - and then make it happen.
Because if you’re not making chips, you’re not making money!
Here’s The Good Stuff!
If you don’t change, nothing will happen.
Artificial intelligence is helping manufacturers pave the way forward.
Guest speaker Akshat Thirani - CEO of Amper Technologies.
Akshat’s love for manufacturing is a generational story.
Solving the disparity between online software and manufacturing tools.
Solving the code of machinery heartbeats.
Creating a more efficient workspace for all members of the team.