Amazon Web Services – Machine Learning Operations (MLOps) in the Cloud

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Amazon Web Services – Machine Learning Operations (MLOps) in the Cloud

August 24 @ 6:00 pm - 8:00 pm EDT

**Amazon Web Services** and **Synthetic Intelligence Forum** are delighted to convene our first joint in-person session of 2022 at the Amazon Web Services office in Toronto in **Rooms 103** and **104** on **Floor 7** at **18 York St.**

• Registration is free and complimentary refreshments including pizza as well as beverages will be provided.
• MeetUp registration shall close at 12 AM on Monday August 22 2022 so please register before this date and time in case you are interested to attend this session.

**Title: Machine Learning Operations (MLOps) in the Cloud**

Topic: You are invited to meet with subject matter experts and domain specialists from Amazon Web Services with a specialization in commercialization and monetization of AI products at scale using cloud platforms.

• **Aisha Bello** – Solutions Architect at Amazon Web Services
• **Roop Bains** – Sr. Solutions Architect at Amazon Web Services
• **Riaz Panjwani** – Solutions Architect at Amazon Web Services

These industry professionals are in a great position to share their knowledge about a wide variety of topics related to commercialization aspects of AI solutions as well as practical tips and tricks for successfully monetizing data assets using cloud services.

Format: The format of this event will be practitioner-oriented presentations with sufficient time for questions and answers. Attendees will also get the opportunity to network with each other as well as with the host and the participants. Take advantage of this great opportunity learn about how successful organizations create and appropriate economic value from AI-powered applications and solutions in the cloud.

You are invited to join us online for this “must-attend” in-person event in Toronto.

Profiles of the host and presenters:
• **Vik Pant** – [](
• **Aisha Bello** – [](
• **Roop Bains** – [](
• **Riaz Panjwani** – [](

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