About This Workshop
One of our most popular events, featuring guest speaker Kathryn Hume (VP Product & Strategy at Toronto-based Integrate.a), this workshop was originally held in New York City in April and proved to tap into a burning question that many people have about AI technologies.
The following simple question, about a very complicated topic, was posted by a User on the Q&A website, Quora:
“What is the difference between AI, Machine Learning, NLP (Natural Language Processing), and Deep Learning? I have read pretty much all articles on these. But I fail to understand the fundamental differences. Please explain the differences to me like I’m a five year old. Help is much appreciated. Thanks!” — Quora member
The answers came pouring in from engineers, AI experts, data scientists, professors, entrepreneurs, and futurists alike. Most of the answers went into great detail and offered clear distinctions between these four branches of data science and machine learning. However, though the answers may have been technically correct, a person could easily walk away from reading the Quora post just as confused about this topic as they were before reading it (and a 5-year old wouldn’t stand a chance of understanding this). Check out the post for yourself here.
So, what exactly is the difference between AI, Machine Learning, NLP, and Deep Learning? What are the applications of each in business an in our personal lives? And how will they change our world in the next 5-10 years? Clearly, there’s more to understanding these technologies than what can be gleaned from wikipedia, the dictionary, or Quora.
JOIN US for this informative, interactive workshop featuring guest presenter, Kathryn Hume (VP Product & Strategy for integrate.ai), sponsored by TWiML & AI podcast, where we will explore the similarities and differences between AI, Machine Learning, NLP, and Deep Learning. Kathryn, who also teaches law school courses about how new technologies are transforming legal practice and ethics, and is an intellectual historian, will help attendees to get a handle on understanding these technologies, their underlying concepts, the latest research and developments, and their use cases.
Get a crystal clear understanding of the distinctions between these fast-developing branches of cognitive computing. Participate in thought-provoking discussions about how they might impact society. Participate in a group thought-experiment that will allow you to explore the problems scientists and technologists are trying to solve in these fields. And meet cool people from all walks of life who are just as curious about this topic as you are. You’ll also get to ask Kathryn (an expert in these fields) questions (Quora be damned!).
No technical or coding background required. This is a non-technical workshop meant for everyone: marketers, advertisers, developers, engineers, product managers, investors, data analysts, students, policy wonks — all are welcome!
To get a jump on the topic, check out these five episodes of TWiML & AI podcast (our awesome sponsor for this workshop):
- Talk #30 – Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva
- Talk #14 – Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta
- Talk #13 – Understanding Deep Neural Networks with Dr. James McCaffrey
- Talk #7 – Carlos Guestrin – Explaining the Predictions of Machine Learning Models
- Talk #5 – Joshua Bloom – Machine Learning for the Stars & Productizing AI
Kathryn Hume is VP Product & Strategy for integrate.ai, a Toronto-based startup that helps large enterprises reinvent customer experiences using artificial intelligence.
Prior to joining integrate.ai, Kathryn was President of Fast Forward Labs, where she helped large enterprises across verticals apply artificial intelligence to solve real-world business problems. She teaches executive education courses on artificial intelligence at Harvard Business School and was formerly an adjunct law school professor at the University of Calgary. She speaks eight languages, and brings a humanistic, interdisciplinary perspective to technology and data science.
Kathryn is also a respected speaker and often gives talks at events around the world on machine intelligence.
Recent NPR story featuring Kathryn: Canada’s Tech Firms Capitalize On Immigration Anxiety In The Age Of Trump
Kathryn’s Blog: http://quamproxime.com/
Our Awesome Sponsor
ff Venture Capital (ffVC) is the most engaged technology venture capital firm in New York City, focused on supporting visionary founders at the seed- and early-stage. ffVC’s 25+ person team actively works with founders to develop products, target markets, and accelerate growth. With expertise and investments in artificial intelligence, cyber security, machine learning, drones, enterprise software, crowdfunding, data analytics and more, ffVC seeks emerging, transformative technology and technology-driven founders who create and lead companies that will influence the behavior of millions. Since its founding in 2008, ffVC has invested in 90+ companies and helped to create aggregate market value exceeding $4 billion.
Our Amazing Media Partner
This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI.