An intimate talk with machine learning leaders
Date: November 1, 2016
Name: An intimate talk with machine learning leaders
Presenters: Jaspreet Oberoi, Natalie Cartwright, Justin Long, Chris Adlparvar, Suzanne Gildert, Jeff Herbst, Geordie Rose, Toufic Boubez, and Mike Gelbart
Machine learning is changing the way entrepreneurs operate their businesses. Moreover, entrepreneurs need to adapt the new ways to take advantage of the changes. Vancouver Entrepreneurs Forum invites the machine learning leaders panel to discuss their perspective of machine learning. Vancouver Entrepreneurs Forum also invites 5 machine leading companies to share how their companies play in the part of current machine leading trend. Entrepreneurs will learn the impact of the changes and discover where they can find their talents in this industry.
Machine Learning Presentation
Jaspreet Oberoi, the Researcher of data science, machine learning and optimization algorithms of 1QB Information Technologies, believes a different perspective solves a different hard problem. The classical tools are saturated in this industry and many people are trying to fit everything into classical tools. Entrepreneurs need to redefine interaction.
1QB focuses on software development. It provides micro services and custom software. Oberoi believes the trend is leading towards quantum. It is required. It requires to insulate in future since it might become familiar programming for the future. In the future, quantum will play a huge role in finance, health science, and energy industries. Entrepreneurs must realize machine leading will optimize effective algorithm, time and accuracy. The optimization approach will outperform classical methods to solve problems in business.
With quantum software, businesses will be able to perform better market basket analysis, collaborative filtering, image recognition, clustering, and big data.
Natalie Cartwright, the Co-Founder of Finn.ai, shares the history of machine learning. The PC Era started in 1980s and it leads to Internet in 1990s. Mobile started to take over in 2008 and leads to artificial intelligence in 2016. Cartwright believes white label virtual banking is an example of the future artificial intelligence. The company is working with ATB Financial to fully utilize Facebook and Facebook Messenger to gain better and efficient experience in virtual banking. In the future, this new type of artificial intelligence will expand to all kind of channels.
Currently, Cartwright is working towards building data sets for users with productive and personalize data.
Justin Long, the Founder of Bernie AI, revolutionaries the online dating industry. Bernie AI is a personal assistant for online dating and it helps people to start conversation. The application does all the hard work for users. Long reveals the idea started with a conversation at the bar to automate Tinder algorithm system. Now Bernie AI is everywhere. It allows people to learn enough to make the right decision. Long mentions it uses face recognition and landmark system to match personalizes with the users. The face recognition also uses background scan to identify mood for users. The application works along with other dating application.
Chris Adlparvar, the Founder of Copypants, focuses on Intellectual Property protection. With the advance of machine learning trend, entrepreneurs need to protect their personal and business brand. Adlparvar identifies the problem of Intellectual Property theft and many other law issues. These problems will remain exist. Copypants will help entrepreneurs to protect, find, notify, give and manage their Intellectual Property.
As machine learning trend increases, Adlparvar ensure Copypants will understand and match content, discover the difference, and grow the user database.
Suzanne Gildert, the Founder of Kindred Systems Inc., shares their company vision of building machine with human-like intelligence. The company has 3 core technology. The first one is to build robots. It uses embodied cognition hypotheses. The second one is immersive and real time. It uses teleoperation by linking human perspective and robot actions. The third one is the state of the art AI. The AI operator learns the process from human operators and send the perception data to robots.
Machine learning leaders panel
The panel includes Jeff Herbst, the Vice President of Business Development from NVidia, Geordie Rose, the Founder of CTO D-Wave, Toufic Boubez, the Vice President of Engineering at Splunk, and Mike Gelbart, the Machine Learning Lecturer from University of British Columbia. The moderator is Moe Kermani, the Managing Partner of Vanedge Capital.
What attracts Herbst into the machine learning industry is the ability to create high performance solution. The development of machine learning crates availability for entrepreneurs. They can take advantage of generating improvement for their businesses and provide platform for many users.
“We build it; we are there at the right time”
Boubez sees the problem for machine learning industry. Entrepreneurs will encounter weak security application because it still requires human detector to detect unusual pattern. The second weakness is predicting analytics. The last weakness is clustering.
The view of Artificial Intelligence changes time to time. Rose believes it depends on what dimension entrepreneurs are measuring. The new cycle uprising fears people if there is no human work in the future. The way human spends their time will change. Rose mentions sometimes in future machine works better than human. However, the role of human will still remain in future.
“Understand the fundamental mechanism of how we act”
The driver of Master Degree of Data Science for Gelbart is to bring in all kind of people in different industries to data science. It joints with computer science and it gives the students the cutting edge. In the machine learning industry, entrepreneurs are looking for team. Gelbart emphasizes teamwork is important and people need vertical experience. Algorithms are opened for public, and data is what entrepreneurs are after now.
Rose believes the key of future of machine learning industry is transformation. More data is better for certain algorithms. People who can do all this is still in a small group and tools are getting better for them to use. Boubez believes the major advantage for entrepreneurs is the unsupervised learning. They need to get the data that nobody has.
Herbst believes the tangible values in the future appear in automotive space, finance, voice enable system, and security.
For closing thought, machine learning is still messy, but it is still exciting. Entrepreneurs are living in the most interesting life in this century because they are creating the life of machine for the future. It is an exciting stage for entrepreneurs, but existing tools are only to make life efficient because they are still in the stage of acceleration in machine learning industry. It is a big deal even though nobody knows what comes after Artificial Intelligence. Nevertheless, all moves to process data.