Put AI to Work: A Panel Discussion May 14

SIP Talks and Panel Discussion: Put AI to Work: 

Get Ready for Artificial Intelligence in Your Business
Toronto City Hall, May 14, 2019 at 6:30 pm

Society of Internet Professional in collaboration with Big Data and AI Toronto are very pleased to invite you to SIP Talks

Put AI to Work: Get Ready for AI in Your Business
A Panel Discussion

Date
Tuesday, May 14, 2019

Time
6:30 PM – 9:30 PM

Location
Toronto City Hall, Committee Room 2

Address
100 Queen Street West, Toronto, ON M5H 2N2

Registration: SIP2019May14.eventbrite.ca
Complimentary tickets to explore the benefits of becoming a member of SIP and SIPTalks.

Refreshments will be served

For more information, please contact
Kashif Iqbal | 647-618-3625 | SIPpost@sipgroup.org
Max Haroon | 416-891-4937 | rsvp@sipgroup.org

Description

Artificial Intelligence (AI) will touch every industry. Like the advent of the Internet which threw businesses into a Digital Revolution, AI has the potential to drastically change and upend our traditional ways of doing things.

Canada has played a major role in the early days of AI. Today, Toronto is a major AI hub, home to higher education and research labs dedicated to advancing artificial intelligence research. Businesses are applying AI in unique ways that will have an immense impact on business.

Organized in collaboration with Big Data and AI Toronto 2019, join us to hear thought provoking talks from three AI expert speakers about how Artificial Intelligence can be put to work in your business, and participate in the panel discussions.

Presenters:
• Helen Kontozopoulos: What is AI?
What is AI? A brief history of Artificial Intelligence and its Business Applications.
Helen Kontozopoulos, Co-founder and Adjunct Professor at the University of Toronto, ODAIA, an AI based algorithm developed at the U of T. Helen also co-founded U of T Innovation Lab.

• Kevin Ferreira: How, What and Why?
How, What and  Why? From research to reality. Kevin will discuss how teams like at the Bell AI Lab are about to make these technologies a reality. Learn about the roles necessary to make your team succeed.
Kevin D. Ferreira, Ph.D, Sr. Manager of AI Labs at Bell Canada, where he is developing a number machine learning applications.

• Yevgeniy Vahlis: The Future of AI
The Future of AI. There's a lot to learn when it comes to AI in this rapidly changing technology. What should traditional business be worried about.
Yevgeniy Vahlis, Head of Artificial Intelligence Technology at BMO Financial Group.

Panel Moderator:
• Olivia Kitevski, Producer of Big Data & AI Toronto, Canada's #1 Conference and Expo on Big Data, AI and Analytics, organised by Corp Agency, the event management agency for the consumer and business worlds. Olivia is a founding member of Young Women in Business Toronto (YWiB).

Network with our sponsors, your peers and industry leaders.

Looking forward to presenting May 14th at City Hall #Toronto #AI https://t.co/3YfOtydD60

— Helen Kontozopoulos (@helenissocial) May 5, 2019

Photo: SIP Panel Discussion: Put AI to Work

The Society of Internet Professionals (SIP) gathered top AI experts from a Bank to Bell: Helen Kontozopoulos, Cofounder and Adjunct Professor at the University of Toronto; Yevgeniy Vahlis, Head of Artificial Intelligence Technology at BMO Financial; Kevin Ferreira, Ph. D, Sr. Manager of AI Labs at Bell Canada. The panel was moderated by Olivia Kitevski of Corp-Agency, conference Producer of Big Data & the AI Toronto Conference.

Credit: facebook.com: albums: SIP Panel Discussion: Put AI to Work

SIP Post Message Update:

Thank You for attending our biggest event of the year: A Panel discussion on AI in Your Business at the City Hall on May 14, 2019

We were thrilled to have three prominent speakers from the upcoming AI Conference (Detailed below).

It was a farewell party for Max Haroon, who is the Founder of SIP. Max revealed many personal plans, in the interview by Paul Litwack, who was the MC of the event. Max served SIP for more than 20+ years, thank you for your leadership.

Some pictures of the event are posted on the SIP’s Facebook page:
tinyurl.com/sip2019may14

Please let us know if you have posted any pictures or videos, you never know you may win a prize.

We invite you to participate in the upcoming Toronto AI Conference co-located with BigDATA conference at the Metro Convention Centre on June 12 and 13.

The exhibit Floor pass is Free for everyone
Get an exclusive SIP discount of 25% on a 2 day Conference pass (value$595), use the promo code BIGSIP.

The New Thought Process of Machine Learning

Photo: @artjunctionto: What would you like to make?

This article, authored by Cory Popescu, SIP Writers Forum, is for the IT / Internet professional, but it is equally applicable to anyone, as we use computer and mobile devices in all aspects of our lives regardless of our profession. 

For some time, businesses have been looking to build tools to understand their customers better, to improve operational processes, to provide higher quality deliveries. To accomplish this, businesses start using the services of data scientists mining into large databases, and seek upgrades to insight analysts' skills.

The labour dedicated to building business intelligence (BI) mechanisms to incorporate in current businesses is involved at higher degree while creating those tools and to a much lower extent when these devices become functional as expected. When employing the newly built devices embedding machine learning, the organizations gain awareness and powerful observations while decreasing time to respond to change.

Developing intelligent devices require an unconventional thought process to obtain enhanced results since the outcomes of data processing are not known or may only be vaguely imagined at the time of starting the application software. Some of the thought process aspects described below show significant differences between approaching development for traditional versus predictive BI.

A crucial aspect of the thought processes used to create applications involving machine learning is represented by building models with a proactive mindset. The modeller asks questions based on predictive thinking which relate to various business facets, for instance: what benefits emerge from using this data, how to quantify them, how to resolve frequent business issues, such as manufacturing faulty parts.

A predictive approach to modelling also formulates questions regarding the requirement for and the degree of technical skills involved when using the applications based on machine learning, how to present outcome in clear format, how to create groups of users who participate in building the models and what flexibility the predictive models have to generate and validate new models on demand.

Another aspect related to the thought process involved in machine learning refers to calculating for example the number of product offerings versus deriving a solution which predicts the payback on each product offering. Supplying a better view of the customer base, the predicted dollar payback along with tracking key financial variables provide opportunity for increasing company's efficiency and improving their bottom line.

Predicting events and trends become a necessity of the economy with large, expanded datasets which contain relationships and patterns extremely difficult to categorize and make assumptions based on the data. The use of hypothesis and predefined routes represent the foundation of conventional application software development and requires excessive efforts to apply to existing elaborated and complex databases. Leaving this data untapped by the machine learning applications built on the new thought processes would be a total oversight. 

References:
University of California, Berkeley: Department of Statistics: Statistical Science: To Explain or to Predict? by Galit Shmueli

Smart Vision Europe: Top ten predictive analytics questions by Rachel Clinton


Cory Popescu

Your comments are welcomed

Click on the links below to read the other articles by Cory Popescu:
Health Concerns of IT Professionals
How Internet Helps Machine Learning
Can IT Professionals Become Savvy Networkers?

How Web Analytics and Search Engine Results Impact Your Business: January 15

Poster: How the Web Analytics and Search Engine Results Impact Your Business

Speaker: Jim Sterne, Founder eMetrics Marketing Optimization Summit, Digital Analytics Association, 

author Social Media Metrics: How to Measure and Optimize Your Marketing Investment

Tuesday, January 15, 2013, Toronto City Hall, Community Room #2

Register on Eventbrite: Web Analytics & Search Engine Results: SIP 15th Anniversary Celebration

eMetrics Summit + Society of Internet Professionals

Please join the Society of Internet Professionals celebrating its 15th Anniversary for special presentation:

Web Analytics and Search Engine Results

Our theme for the evening is "How the Web Analytics and Search Engine Results Impact Your Business".The technical tools continue to lead the industry with their ability to collect and integrate more disparate data, and to visualize it in the most striking ways. We will discuss what web analytics, the art of analytics is and what it takes to optimize for search engines.

Date: Tuesday, January 15, 2013
Time: 5:00 pm to 8:00 pm

Location: Community Room #2, Toronto City Hall
Address: 100 Queen Street West, Toronto ON M5H 2N1

Speakers: 
Jim Sterne is an international consultant focused on measuring the value of the online marketing for creating and strengthening customer relationships since 1993. Sterne has written seven books on using the Internet for marketing, produces the eMetrics Summit and is co-founder and current Chairman of the Digital Analytics Association.

James Standen founder of nModal has over a decade of experience in data management and business intelligence. He held key executive roles in the information technology area, working both in North America, and internationally with Lafarge SA for over 15 years. James founded nModal in 2008 believing that data will continue to become more central, and he is excited at the chance to play a part in developing tools that help companies take advantage of it.

Registration: Eventbrite.ca: SIP-15 

Our 14th anniversary event was attended by over 85 SIP Associates at the City Hall. Take a peek at the pictures

Photos of SIP's 14th Anniversary + eMarketing Optimization
Credit: sipgroup.org

flickr photos: SIP's 14th Anniversary Celebration + eMarketing Optimization
Toronto City Hall, March 21, 2011
Credit: IT Ceremony

Details: http://www.sipgroup.org/news.html

If you have any questions or comments, feel free to contact:
Max Haroon, SIP President, at 416-477-5839 or email at rsvp@sipgroup.org

Come and bring your friends as your guests to learn, network, win (prizes) and fun! 
There will be a number of presentations, prizes, awards and, of course, the cake! 

Event Sponsor: 
eMetrics Summit 
TORONTO, ONTARIO 
MARCH 18-21, 2013