Manasi Menon

For decades, manufacturing and production operations created masses of data from sensors, control strategies, diagnostics, procedures and other applications used to safely control the process. Operational analytics have continued to advance to turn this mass of data into actionable information.

Emerson's Manasi Menon joins me in this 23-minute operational analytics podcast to discuss how organizations are putting these analytics into action to help improve performance in safety, reliability, energy & emissions, and production.

We hope you'll enjoy this episode and will consider subscribing to the whole Emerson Automation Experts podcast series on your Apple iOS or Google Android mobile device.

Transcript
Jim: Hi, everyone. This is Jim Cahill, and welcome to another Emerson Automation Experts podcast. Today, I'm joined by Manasi Menon. Manasi has a Bachelor of Technology degree in electronics and instrumentation and also an MBA. She's worked for several automation suppliers and has been with us at Emerson for the past eight years. Manasi currently leads our machine learning and analytics marketing efforts. Welcome, Manasi.

Manasi: Thank you, Jim.

Jim: Well, let's get started. I gave a little bit of some of your background, but can you give us a little bit more and your path through working with the automation suppliers and Emerson up to your current role with our analytics?

Manasi: Sure, Jim. As you mentioned in the introduction, I am an electronics engineer who's worked very closely with some of our customers in this process automation industry. There is a lot of interest and there is a lot of talking around analytics today, but our customers have always been using analytics as an opportunity to improve their processes. So, my introduction to analytics was back in the days as a process engineer where I was working for end users who were using conventional advanced process control systems to improve their process, whether it is optimizing their process or monitoring the process. So, right from that time frame, after that, doing my MBA, I ended up in a particular position where I was working as an analyst monitoring the support functions of the organization. So, with that process engineering background and an interest and passion for analytics, I thought this role would be really good where I could contribute to as well as learn from, especially articulating the value add of our analytics in our industry.

Jim: Well, that's interesting that so many more of our customers are looking at digital transformation and doing something with this wealth of data that they've always been collecting. So, I imagine there's a lot of people on our customers' side coming into this area of having more responsibilities for analytics. So, I guess with all that, for someone new into the consideration process for additional analytics as part of their automation architecture, what are some ways that they can get started?

Manasi: So, as part of my role, I talk to a lot of customers, some of them who have advanced quite a bit in the stage of deploying analytics in the...