Innovation
enables organizations to
open new avenues of product
differentiation by
customizing products. In
today’s rapidly changing
business environment,
engineers must innovate
quickly to incorporate new
features while reducing
development costs and
delivering new products to
the market before the
competition. Simulation
plays a key role in helping
engineers drive innovation,
enabling complete virtual
prototypes of complex
systems to be validated
across all physics and
engineering
disciplines.
Join
us as we return to Ottawa
for our 4th Annual ANSYS
Innovation Conference on May
8, 2019! This one-day
conference will provide
detailed insight into how
leading companies are
utilizing simulation to
advance their product
development. We will bring
together ANSYS users,
partners, developers, and
industry experts for
networking, learning, and
sharing of new
ideas.
Experience
new simulation capabilities
that provide unprecedented
design insight as they speed
your time to market
Incorporate
various productivity
enhancement tools and
techniques into your
engineering department’s
workflow
Gain insights into 5G system
development with
physics-based simulation and
cover critical design
issues, such as antenna
performance, semiconductor
reliability, and thermal
integrity
Identify signal integrity
issues early in the design
cycle for electronics IC
packages, PCBs, connectors
and other complex
interconnects
Modify antenna design,
predict antenna efficiency
and the overall thermal and
EM performance of the
product based on
electromagnetic and thermal
coupling
solutions
Presented
by the Ottawa Section Women in
Engineering Affinity
Group:
Managing
the Development of
AI and Machines that
Learn By
Niraj Bhargava,
CEO
NuEnergy.ai
Date:
May 15th, 2019
Time: 6:00
AM to 7:30 PM
Location:
Room 4359, Mackenzie
Building, Carleton
University, 1125 Colonel By
Dr, Ottawa, ON K1S 5B6
Abstract
It is widely acknowledged
that AI technology will
transform organizations and
society around the globe –
and with recent advancements
in processing power, data
accessibility, and
algorithms we suddenly find
ourselves at the beginning
of this transformation.
Introducing the Machine
Trust Index (MTI), assisting
us to boldly proceed with a
responsible, innovative
spirit. The goal of the MTI
is to establish an open and
versatile framework for
measuring and managing trust
in the evolving sphere of
AI. The MTI provides
measurable evidence,
transparency and
accountability of an AI
solution, allowing providers
to effectively communicate
the value of their solutions
as well as their measurable
trustworthiness.
Speaker
Bio:
Niraj Bhargava is Founder
and CEO of
NuEnergy.ai, the
developers of the Machine
Trust Index™ (MTI) for
managing
AI deployments. He is
also Chair of the Innovation
Committee of the Board at
the Royal Ottawa. Niraj
was President and CEO of
Enerstat Limited, and led it
through its turnaround and
acquisition, Founding CEO of
QCED Inc., a faculty member
in Entrepreneurship at
Queen’s University, a
Director of the Queen’s
Executive MBA, and then Dean
of the Business School at
Royal Roads
University. Niraj
practiced engineering at
Bell-Northern Research and
global marketing at General
Electric, and was the
founding General Manager of
GE Energy Management. Niraj
was the founding CEO of
Fluent.ai in Montreal and
Co-Founder, Chairman and
Chief Executive Officer of
Energate Inc.
The
PATW is a global competition
for Young professionals and
students within engineering
to develop and showcase
presentation skills.
Membership to the IET is not
a requirement to enter, but
you must be 18-30 years of
age and be prepared to;
Deliver a 10 minute
presentation on any
engineering or technology
related area. Enhance your
knowledge, develop your
skills, increase your
profile, and open doors for
your career.
-
Data analytics is a priority
for many organizations
-
Many jobs now call for some
level of analytic
knowledge
-
Storytelling with data will
soon become a “must have”
skill
What
is Cognos
Analytics?
“IBM® Cognos® Analytics
integrates data preparation,
reporting, modeling,
self-service analysis,
dashboards, stories,
event
management and now automated
predictive analytics into
one stack. Moreover, the
latest release makes
extensive use of AI,
including machine learning,
natural
language processing (NLP)
and natural language
generation (NLG), in order
to automate as many features
for the end user as
possible, in an effort to
make BI, analytics and
predictive analysis easy for
business users.”
Speaker
Bio:
Mohammed Omar Khan is an
Offering Manager on the IBM
Cognos Analytics. He works
with the development,
design, sales, marketing,
support and more teams
to make Cognos Analytics a
leader in the BI market. He
is a
Carleton University
Alumni. Some of his
achievements include 2nd
place in Data Day 5.0 Poster
Competition held at
Carleton University,
IBM VP Award, and IBM
Managers Choice
Award.
