Last week, we created our first-ever virtual summit - over 450 virtual meetings and 12,300 connections (and still counting) were made on our AI-powered matchmaking platform.

Our community has always been at the heart of everything we do. We build summits in line with the UN global goals, we create meaningful dialogue around global tech for good. Therefore, we feel it would be contradictory of us not to take action in light of the rapidly evolving COVID-19 situation.

World Summit AI Americas returns to Montréal, Canada, on 25th-26th March 2020, and will gather the major influencers in AI globally across business, science and technology. The full AI ecosystem will be present, including startups, academics, investors, business leaders, big tech, lawyers, government and policymakers.

Jana Novohradska, AI Consultant to Deputy Prime Minister`s Office of Slovakia & Gender Equality Rapporteur CAHAI Council of Europe, is one of the panelists on our 'Governing AI' panel at World Summit AI Americas in Montreal.  We caught up with her ahead of the summit. 

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RESEARCH REPORT

Scaling to new heights of competitiveness

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What is conversational AI all about? 

It's the best investment you'll make this year – and over the next five years – to increase efficiency, improve your KPIs and drive innovation in customer experience.

At the heart of the business justifications for Conversational AI are:

1. COST SAVINGS THROUGH  SMARTER AUTOMATION

2. IMPROVED CUSTOMER SATISFACTION THROUGH IMMEDIACY AND RELEVANCE

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By Megan Mueller, senior manager, Research Communications, Office of the Vice - President Research & Innovation, York University

Human-machine cooperation and developing trust among robots, soldiers and civilians – these are the subjects of two, high-tech Artificial Intelligence (AI) projects from York U’s Lassonde School of Engineering. They were, collectively, funded $5 million.

He may only be 13, but Artash Nath has already been working at the interface of space, robotics and artificial intelligence for the last few years, presenting his projects at multiple international conferences. He is interested in deep space exploration and has been applying machine learning models to space challenges, including predicting risk index of an asteroid collision with Earth and detecting atmospheres of exoplanets using simulated data from space telescopes. His ongoing project is on creating curious and intelligent machines that learn by being placed in an immersive environment. They make efforts to understand cause and effect and are not hesitant to ask “why”.