WeaveSphere

All women in tech do not look the same or do the same type of job, explained Jillian Shealy, Enterprise Customer Success Manager at Talkdesk, during 's panel. She encourages young to find a mentor that exemplifies the type of work they're interested in.

And to combat imposter syndrome, added digital executive Sumika Singh, be your own "inner champion," rather than an inner critic. Coach yourself through career challenges the way you would support a friend.

Jack Baker of Agnostiq, which develops software for the quantum era, met lots of students in 's Innovation Valley — and they brought plenty of great, insightful questions 🙌

Data centres worldwide consume 200-250 TWh of energy, says Marcel Mitran, IBM Fellow and the CTO for Cloud Platform for zSystems and LinuxONE. "Digital transformation strategies amount to compute-intensive, AI workloads."

What does that mean for companies? It translates to energy-intensive businesses.

Mitran shared data that showed 51% of CEOs have named sustainability as the greatest challenge to their organization over the next 2-3 years. But only 40% have identified initiatives to close their sustainability gaps or sustainability drivers for change.

Shout-out to presenter Sonia Singh for channeling The Thirteenth Doctor from Doctor Who, during her session titled '(Doctor) Mx Who - Building Out-of-this-World Leadership Capability' 🙌

A PhD student in the Faculty of Information at the University of Toronto, Priyanka Verma came to to network and connect with people in the space.

"I have research ideas," she says.

"In the 21st century, we have to innovate and learn new things," says Mohawk College student Shrijan Sharma.

The most interesting topic he's learned so far at ? Learning about collaboration at the Education Day slate of programming.

"We need to create STEM learning environments that are messy. You may not know exactly what students will learn, but whatever it ends up being will offer tremendous value." — Marcellus Mindel, head of at IBM Canada.

We've had computers and even for a long time now.

What's different, explained Gillian Hadfield, Director of University of Toronto's Schwartz Reisman Institute for Technology and Society, during her keynote, is that it's evolved to include , combined with mass digitization and huge computing power.

However, it's critical to understand that machine learning is NOT like conventional programming, she said. With conventional programming, the program is written by humans, but with machine learning a computer writes the rules — presenting regulatory challenges.

With machine learning, the machine solves problems and build patterns that we can't see. As a result, Hadfield outlines, there can be a value alignment problem, as the machine might solve problems in a way that we don't want it to.

Another challenge with regulation, Hadfield said, is that sets are massive and constantly evolving. The speed of innovation is very rapid — can regulation keep up?

Hadfield also proposed that AI regulation, as a sector, poses a tremendous business opportunity. Regulatory tech could be developed in Canada, then marketed and sold to other regions around the world — you just have to meet local governance standards.

For IBM Canada's Masoud Ataei (with fellow IBM-er Dickson Chau), innovation means finding a "meaningful" problem and putting the tools you have to use to solve it.

And the most important factor, he says, is the problem. "It should have impact in the real-world."

Nancy Chahal, a Master's student in Computer Science at University of New Brunswick, shared her research at , which looked at how we can increase the efficiency of autoscaling decisions for Node.js applications.

Responsible computing is a systemic approach addressing current and future challenges in computing including sustainability, ethics, and professionalism.

It is a holistic approach to redefine how businesses approach IT, by ingraining sustainable impact in architectural thinking, technology and innovation.

Responsible computing advances the quadruple bottom line, explained IBM Canada's Marcel Mitran, opening Day 3 of WeaveSphere with a keynote:

👩🏽👦🏻 People
🌏 Planet
📈 Prosperity
🤝 Participation

During his session called 'Wins & Learns: Competition, Innovation and Entrepreneurship,' Anthony Lacavera shared the lessons he learned throughout his journey as a founder/co-founder of 12 ventures ⤵️

https://www.linkedin.com/pulse/four-lessons-fellow-founders-from-globalives-anthony-lacavera-/

Four lessons for fellow founders from Globalive's Anthony Lacavera He's the founder (or co-founder) of 12 ventures (including WIND Mobile), and Anthony Lacavera says three of them were "spectacular failures" and six were successful exits. Today, he runs Globalive and is an investor in early-stage tech companies.