Rama Akkiraju, IBM Fellow and Director of AI Operations at IBM, delivers a Technical Vision Talk at WiDS Stanford University on March 2, 2020:
AI applications are proliferating in consumer and business domains these days around the world. Have you ever wondered how Siri, Google Home, Google Maps or Amazon Echo speaks to users in different countries in their local languages? How does an automated customer support chat bot that you are speaking with or texting with speak or understand your local language to resolve your problems? AI models that power these applications have to speak the language of the user and the language of the business for them to be useful and relevant. Polyglot AI is not magic just the way AI itself is not magic! It takes a lot of hard work to teach AI to understand and speak new languages. In this talk, I’ll take you through some behind the scenes hard work to build multilingual natural language processing systems that enables AI to speak multiple languages.
Learn more: widsconference.org
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
Women In Data Science (WiDS) 2020 | Stanford, CA. If you don’t think you received an email check your
spam folder.
Sign in to Women In Data Science (WiDS) 2020 | Stanford, CA.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For Women In Data Science (WiDS) 2020 | Stanford, CA
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for Women In Data Science (WiDS) 2020 | Stanford, CA.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
Women In Data Science (WiDS) 2020 | Stanford, CA. If you don’t think you received an email check your
spam folder.
Sign in to Women In Data Science (WiDS) 2020 | Stanford, CA.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to Women In Data Science (WiDS) 2020 | Stanford, CA
Please sign in with LinkedIn to continue to Women In Data Science (WiDS) 2020 | Stanford, CA. Signing in with LinkedIn ensures a professional environment.
Are you sure you want to remove access rights for this user?
Details
Manage Access
email address
Community Invitation
Polyglot AI: The Role of Natural Language Processing (NLP) | Rama Akkiraju | WiDS 2020
Rama Akkiraju, IBM Fellow and Director of AI Operations at IBM, delivers a Technical Vision Talk at WiDS Stanford University on March 2, 2020:
AI applications are proliferating in consumer and business domains these days around the world. Have you ever wondered how Siri, Google Home, Google Maps or Amazon Echo speaks to users in different countries in their local languages? How does an automated customer support chat bot that you are speaking with or texting with speak or understand your local language to resolve your problems? AI models that power these applications have to speak the language of the user and the language of the business for them to be useful and relevant. Polyglot AI is not magic just the way AI itself is not magic! It takes a lot of hard work to teach AI to understand and speak new languages. In this talk, I’ll take you through some behind the scenes hard work to build multilingual natural language processing systems that enables AI to speak multiple languages.
Learn more: widsconference.org