Past Meetup

Build vs Buy: Panel Discussion

This Meetup is past

42 people went

Price: CA$5.00 /per person

Keyrus Canada

387A Saint-Paul St W · Montreal, QC

How to find us

The office is at street level

Location image of event venue

Details

NOTE: Entry price ($5) will help us grow the MTL DATA community. Your support is very appreciated. To attend this event free of charge email [masked], no questions asked.

We are thrilled to invite you to our next event to discuss a crucial question every developer and data team eventually faces: Should I build a custom data software or buy an existing data product?

We make this choice at some point in our career and it can have a huge impact long term. During this meetup, we will explore this topic and give you tools to make better decisions.

• How to decide when it's time to buy a data product or build it yourself?

• What are the advantages between building and buying software?

• How will this type of decision change when the company and team grow in size?

• What does the future hold, considering machine learning and AI?

The panelists will discuss these questions, share their personal experiences leading data teams and building data products.

### Schedule ###

6:00pm | Doors open (Food & drink will be served)

6:30pm | Panel Discussion

8:00pm | Stay for further discussion and drinks

### Panel Speakers ###

Marc-Antoine Ross, Director of Data Engineering @ Intel Security.

An entrepreneur for most of his life. Co-founding 3 companies (Piria & PasswordBox both acquired). Prior to this, he had exposure to many mergers and acquisitions as he traveled, worked and lived in 25 different countries around the world. His passion is to build rock star teams that work together to achieve big things. He is curious, always looking to learn, listen and be inspired. He has a wonderful wife and two lovely daughters.

Maxime Leroux, consulting data scientist @ Keyrus Canada.

He is specialized in predictive modeling, data mining, machine learning and has a vast experience in big data technologies. He has worked as a quantitative analyst & data scientist in many industries such as banking, risk management, market finance, travel and loyalty programs. He has a master's degree in Applied Finance & is a Certified Professional Accountant.

Jeremy Barnes, Chief Architect @ Element AI.

Entrepreneur, researcher and engineer with experience solving the difficult problems. He has founded 5 startups and sold 2. He has played the role of both CTO and CEO. Team leader, creativity, deep technical knowledge and people skills are his key assets. He has ample experience in the startup environment and enjoys facing product, technology and market challenges. He still writes code every week.