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Event

Let's Get Florida Manufacturing with Adastra and AWS

Date:

03/01/2023, 8:00 (Canada/Eastern)

Duration:

Full Day

Starts in:

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Venue:

Allen B. Levan | NSU Broward Centre of Innovation, 3100 Ray Ferrero Blvd., 5th floor, Fort Lauderdale, FL 33314

Learn how to improve operational efficiencies through a modern data architecture

Join keynotes with digital transformation leaders from AWS, Adastra and SFMA.

Network with like-minded leaders in the manufacturing industry.

Learn first-hand how to leverage manufacturing-specific tools and data for reporting and analytics. Join keynotes with digital transformation leaders from AWS, Adastra and SFMA.

Hear how current Adastra and AWS customers are driving new customer and service revenue by utilizing advanced analytics capabilities.

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Speakers

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Kevin Harmer, Chief Cloud Officer, Adastra

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Steve Blackwell, Head of Specialist SA, Manufacturing, Amazon Web Services

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Luis Gonzalez - Mendez, Executive Director Process R&D and Engineering, Trividia Health

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Sam Wong, Senior Director of Data, Analytics and AI, Mark Anthony Group

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Hanif Jessani, Director of IT, Taiga Building Products LTD.

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Jon Sastre, Senior Partner Sales Manager, Amazon Web Services

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Lisbeth Pena, Office Administrator and Event Coordinator, South Florida Manufacturers Association

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Kamran Baqai, Consultant - Digital Twin, Adastra

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Elkin Arboleda, Sr. Consultant - Visualization, Adastra

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Katya Dunets, AWS Sales Engineer, Adastra

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Klara Benroth, Partnership and Presales Manager, Blindspot

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Kuljit Chahal, Practice Lead, Cyber Security, Adastra

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Connor Wilkinson, Senior Data Scientist, Adastra

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Agenda

Arrival - 8:00 - 8:30AM

Continental Breakfast; Meet & Greet

Opening Remarks - 8:30 - 9:00AM

Meet the event sponsors: Nova South Eastern University, South Florida Manufacturers Association, Amazon Web Services and Adastra

Making the Move to Intelligent Manufacturing - 9:00 - 10:00AM

In a highly competitive global market, manufacturers must effectively collect and gain insights from data. Through these insights, manufacturers lower production costs, improve operational efficiency, optimize supply chains, create differentiating customer experiences, and deliver compelling services to customers. Use of cloud IIoT / Data / Analytic platforms simplify and enable manufacturers to achieve these critical goals.

Kevin Harmer, Chief Cloud Officer, Adastra
Steve Blackwell, Head of Specialist SA, Manufacturing, Amazon Web Services

Break - 10:00 - 10:15AM

Coffee and snack break

Panel Discussion: Leveraging the Cloud to Drive Business Efficiency - 10:15 - 11:15AM

Join current AWS and Adastra customers to learn what migrating to, and investing in, the cloud looks like for them and how they are taking advantage of scale, flexibility, performance, continuous upgrades, and weapons grade security benefits. 

Understand:

  • Time to migration and migration strategies 

  • Cost implications 

  • Data security and compliance 

  • Team upskilling and training 

  • Adopting application architectures and analytics capabilities

Sam Wong, Senior Director of Data, Analytics and AI, Mark Anthony Group
Hanif Jessani, Director of IT, Taiga Building Products LTD.
Luis Gonzalez - Mendez, Executive Director Process R&D and Engineering, Trividia Health

How to Get Started - 11:15 - 12:00PM

Learn about Adastra's roadmap for enabling manufacturing insights from data and our getting started offers

Katya Dunets, AWS Sales Engineer, Adastra
Kevin Harmer, Chief Cloud Officer, Adastra

Lunch, Employer Showcase & Tradeshow - 12:00 - 3:30PM

Catered Lunch

Employer Showcase: Join Adastra, AWS and the NSU College of Engineering for an employer showcase and learn about the multitude of career paths within manufacturing.

Tradeshow: Dive deeper into discussion with Adastra, AWS and the South Florida Manufacturers Association about manufacturing 4.0.

Use Cases and Demos - 12:30 - 3:00PM

Session 1: Investment Risk Reduction with Digital Twins

Digital twins are critical enablers for digitizing manufacturing processes. Adastra can create a replica of your optimized production line to ensure your facilities are running with maximum efficiency. Learn how digital twins are used to enable facility planning and how they can reduce investment risks.

Demo: Digital twins for facility use planning using virtual and mixed reality

Move between five 30 minute use case sessions and demos exploring how Adastra's manufacturing customers are achieving value from IIoT data through analytics.

Kamran Baqai, Consultant - Digital Twin, Adastra

Session 2: Supply Chain Optimization

A manufacturing company’s success heavily relies on the state of its supply chain and its ability to meet production demands. To foresee the unexpected, you must have a clear overview of the entire supply chain, from your suppliers’ delivery status to the production process. With accurate information captured at each point in your supply chain and detailed analytics, you will be able to proactively react, preventing disruptions.

Learn how to:

  • Leverage global supply chain to reduce vendor sourcing costs 
  • Fulfill more warehouse orders with current staffing 
  • Better leverage shipping and warehouse space 
  • Ensure efficient and higher yield logistics 
  • Optimize available resources for maximum production yields 
  • Monitor shipments in real time for location / shock / tilt / temperature / opening telemetry

Demos:

  • Smart planning to optimize production runs 
  • Smart routing to deliver improved logistics

Klara Benroth, Partnership and Presales Manager, Blindspot

Session 3: Condition Monitoring (IoT Analytics)

Sensors monitor the quality of the environment, including temperature, humidity, and dust. It’s not only about the health and safety of the workplace regarding employees but also about preventing malfunctions and optimizing production. Workplace safety is an important consideration, while unsuitable conditions delay production and make it more expensive. Thanks to effective planning, you can reduce logistics and storage costs.

Learn how to:

  • Implement Global OEE (overall equipment effectiveness) analytics for any plant or equipment 
  • Apply predictive maintenance to reduce outages and costs 
  • Intelligent remediation actions for any equipment

Demo:  Real-time telemetry analytics for manufacturers

Kevin Harmer, Chief Cloud Officer, Adastra
Elkin Arboleda, Sr. Consultant - Visualization, Adastra

Session 4: Yield Optimization

In today's data-driven world, cloud-enabled services allow manufacturing firms to obtain and utilize vast amounts of equipment data to ensure the optimization of their use. With the aid of Industrial Internet of Things (IIoT), data lake storage, and analytic approaches such as Machine Learning (ML), manufacturers can utilize aggregated production related data to minimize operational waste, ensure overall equipment effectiveness (OEE), and ultimately optimize their returned yield to maximize their profits.

Learn how to:

  • Optimize equipment availability and efficiency in producing quality product through various ML techniques. 
  • Interpret the optimal cycles for machines to be operational, in order to minimize production costs while maximizing quality production. 
  • Forecast scrap production, to better identify how to minimize waste, through techniques such as image and sound detection. 

Connor Wilkinson, Senior Data Scientist, Adastra

Session 5: Security and Compliance on AWS

It is estimated that there are about 20 billion IoT devices currently deployed worldwide.  Internet connected cameras, industrial sensors, probes, medical imaging systems and even coffee machines communicate with servers to collect valuable data.  These devices now outnumber non IoT devices and make up a large attack surface.  As corporate IT teams continue to secure traditional severs and endpoints, IoT devices are often overlooked and often include software that is vulnerable to attack.  In this discussion we will talk about published best practices to secure IoT devices. 

Learn: 

  • What manufacturing security best practices are and how to implement them

  • How to use AWS IoT Defender to:

    • Detect anomalies

    • Alert your IT staff of any potential risks

    • Empower IT staff to take swift remediation action to swiftly contain potential threats

    • Integrate AWS ML to automatically detect baseline IoT behavior and automate remediation tasks

Kuljit Chahal, Practice Lead, Cyber Security, Adastra

Receive $100K To Fund Your IIoT Project

As an added incentive to join us on March 1, 2023, we are excited to announce that Adastra will gift one attendee $100,000 and two attendees $20,000 of services to help implement your unique use case.

To qualify for this opportunity, you must submit your use case by February 21st, 2023. Use case submissions will be evaluated by Adastra, and the top 3 use cases will be shortlisted and communicated to the selected individuals on February 28th, 2023. After registration you will receive an email with further instructions.

Example Use Cases:

  • Production Optimization
  • Anomaly Detection
  • Supply Chain Optimization
  • Solving for Sustainability/ESG issue/Energy usage
  • Machinery Maintenance
  • Operational Reporting
  • Scrap Prediction
  • Other…

Register

Thank you

We will contact you as soon as possible.