The factory of the future – how “smart” will our factories get in 10 years from now?

8.45 am to 12.10 pm CT,
22 April 2022

Innovation is at the forefront of revolution in how

we accomplish mission critical tasks

Emergent tech deployments enhance visibility by inciting a

paradigm shift across the supply chain

Industry 4.0 drives connectivity throughout the supply chain and

streamlines it, making it easy to interpret.

Emergent tech facilitate

smart planning across the Supply Chain

Innovative deployments facilitate results of

Proactive Operations And Improved Client Delight.

From a holistic perspective,

AI drives innovation at a fundamental level

Innovative emergent tech deployment needs insight from big data, and massive volumes of data is crawled to streamline outcomes, performance, and efficiency

Smart factories are poised to improve expenditure levels, throughout, quality, and safety

Infusion of emergent tech into the supply chain

Innovative, emergent tech streamline the gathering of insights by orders of magnitude

1/5th of American manufacturers have established at least a single smart factory

3/10ths are in the midst of smart factory deployment via initiatives based on innovation and disruption

Point A-to-Point Z science automation is made up of the totality of data science procedures and handles data administration problems

Installation of predictive frameworks on devices currently on the edge of the network enables manufacturing deployments. Dwelling on the edge of the network facilitates smart manufacturing deployments.

Recent innovations bestow responsiveness, self-preserving qualities, and agility across the manufacturing establishment

Collaborative tools are poised to revolutionize and be a go-to for the modern factory

Amazing Partners & Sponsors

Agenda

22 April 2022 (8.45 am to 12.10 pm CT)
08:45 am
Aganda 1

Introduction of Speakers

-by Nitin Naveen, Vice president-Innovation Strategy, AICorespot

 

09:00 am
Aganda 2

How the industry is shaping up and the Technologies driving this change

-By Abhilash Vantaram, Director, Digital Innovation, InfoVision
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    As technology advances are rapidly changing the landscape across all verticals, we will discuss how the Production world of the Future is shaping up to take advantage of these exciting advancements. We will look at the core concepts that would define the Factories of the Future, the Technologies driving this innovation and explore the challenges we expect to overcome through this revolution.

 

09:30 am
Aganda 6

The Factory of the Future, and what is its outlook 

Panel Discussion
– Chithrai S Mani, CEO, Digit7 (Moderator)
– Sarah Tamilarasan, CEO, Sotaog
– Adam Shayevitz, President, Strategic Sourcing Dynamics, LLC
–Joshua Bylsma, Founder & CEO, TRADION, INC
– Mike Halgas, VP of Operations, Threadless
– Jean Verhardt, Founder, Wombatt
– Sanjeev Khot, Director – Global Supplier Quality, Cummins Filtration

 

 

10:30 am
Aganda 2

MRO of the Future

-By Susan Land Sprentall, Founder, President & CEO, SurClean, Inc
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    The MRO of the Future takes lessons of Manufacturing automation and 4.0 including AI technology, to increase asset availability and provide sustainable operations contributing to the energy conservation and climate control initiatives.

 

11:00 am
Aganda 2

Big Step Towards Digitalization in Oil and Gas

-By Mazda Irani, CTO, Ashaw Energy
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  • In the current environment artificial intelligence (AI) are used in any part of the oil and gas industry. The main problem in oil and gas is the limited number of data, and also the accuracy in measurements. So currently many thinks that AI is not smart enough. The reason is in the lack of temporal and spatial prediction in AI techniques, as we move away from training point the field predictions are deviating.
  • Prior to the current wave of AI, numerical modelling was the main stream for prediction of many problems in oil and gas industry. Currently many engineers follow the fashion by looking for a quick substitute to dynamic numerical model through a ML /AI black box tools. Without knowing that dynamic numerical model has a big advantage and that is understanding the effect of time and space in defined problem. The problem is even larger once we are dealing with new completions such as ICD, Limited Entry, ….
  • In this presentation I talk about the solution, and what the future would look like.

 

11:30 am
Aganda 2

Industrial and System Engineering 

-By Nick Andreou, VP, Production Modeling Corporation (PMC) 
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  • Nick Andreou, P.Eng., will speak about the natural maturity of the Digital Representation of a functioning City, in the same regards as Detroit learned how to Represent a Complex Automotive Factory, to optimize throughput and resources.
  • The Mission of a system’s Digital Twin is to represent certain behaviors of the system, to optimize and predict these behaviors, using computing algorithms. Perhaps we want to model the production/ traffic throughput of a system, or the energy used to Heat / Cool / Illuminate / power equipment, or perhaps we want to model the movement of large crowds of people, going about their normal business…or maybe their behaviors in PANIC situations.
  • There are integrated digital “Building Blocks” that have converged, today, that enable a Smart City construct. The performance of all components must be modeled in digital algorithms (not just 3D CAD).
  • Live inputs about the system variables must be fed in real-time, (thanks to IoT), to adapt to everchanging, random inputs…as is the case in real life.

 

12:00 pm
Aganda 1

Thank you note and conclusion of event

-by Nitin Naveen, Vice president-Innovation Strategy, AICorespot