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How To: Make Your Own AI

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IBM

3755 Riverside Drive

Ottawa, ON K1G 4K9

Canada

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How To: Make Your Own AI

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Hello Makers! Please join us this evening as we discuss how to make your own AI and AI apps. Following is a brief agenda for the evening:

6:00 - 6:30 PM: Doors open for networking and pizza

6:30 - 7:00 PM: Presentation by Suren and Mohamed

7:00 - 7:30 PM: Presentation by Cody

7:30 - 8:00 PM - Q&A and Networking

Forward-thinking businesses are using AI to gain greater insights, make more accurate predictions and use AI to create new and compelling products and services. Across industries, AI is having a positive impact including drug discovery in pharmaceutical to cure diseases, sepsis detection in healthcare to save lives, supply chain transportation optimization to take costs out in manufacturing, fraud detection in banking to save money, subscriber churn predictions in telecoms to retain customers and personalized policies in insurance to delight consumers. Every industry stands to benefit from AI in their business.

In this meetup, we will discuss how domain experts and advanced data scientists can make their own AI by writing their own recipes and seamlessly extending H2O Driverless AI with their favorite tools from the rich ecosystem of open-source data science and machine learning libraries.

We will also discuss how you can make your own AI apps, search and visualize data for immediate analysis, and much more!

Speaker Bio:

Suren Mohanathas: Suren is the Senior Director and Head of Engineering for Canada. Passionate about building engineering teams and enabling them to innovate and succeed. Still a learner, coder and maker at heart. In free time loves to travel with the family to as many destinations as possible and enjoys spending time with his wife and two children.

Mohamed Asni:

As a fully bilingual software engineer, Mohamed's professional experience spans a broad range of computing science and development activities. Mohamed has performed software application development, software testing, and even research in machine interactions designing voice recognition technologies. Some of his past responsibilities have included academic research in machine learning and lead developer. His most recent engagements have touched on a gamut of image processing for defense technologies and natural language processing models for Governance issues & Risk identification. Other of his notable works include his engagements in the context of unsupervised and semi-supervised data segmentation pipelines for predictive models, and big data analysis.

Cody Harris:

Cody Harris is an Ottawa based Software Developer focused on systems software development with 13 years of professional development experience. The majority of Cody's career has been focused on low level and backend systems. Outside of the office, Cody enjoys working on hobby electronics with Arduinos and Raspberry Pis.

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IBM

3755 Riverside Drive

Ottawa, ON K1G 4K9

Canada

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