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Title & Speakers Event

This event will be online on YouTube and in-person. The speaker and live stream starts at 7:30 pm ET. In-person attendees may arrive as early as 7 pm ET.

Important note Google Maps currently incorrectly pins the location around the corner on Crosby Street. The entrance is not on Crosby. The entrance is on Spring Street, inside the Marc Jacobs International building. It is roughly halfway between Crosby and Lafayette, almost directly across Spring Street from the Chipotle restaurant.

Description From inaccessible PDFs to fragmented mobile platforms, digital accessibility today feels like navigating a labyrinth. In this dual-perspective session, Jason Tan and Michael Bervell explore the thorniest challenges in both mobile and web accessibility -- and how emerging AI techniques, automation strategies, and platform shifts are changing what’s possible.

They begin with mobile: an arena full of friction, from the lack of concrete native accessibility standards to tooling fragmentation across iOS, Android, React Native, and Flutter. Through mythological analogies and practical examples, we’ll unpack what makes mobile accessibility so uniquely hard -- and what an ideal tooling ecosystem might look like.

Then they transition to the web, where AI is making significant strides. They'll show how LLMs and human-in-the-loop design are already streamlining accessibility tasks like alt text generation, PDF remediation, and context-aware WCAG compliance. Along the way, we’ll share insights from cutting-edge studies on how AI boosts productivity, reduces burnout, and supports non-experts in making meaningful contributions to accessibility.

You will leave with:

  • A deep understanding of the “Four Horsemen” of mobile accessibility complexity.
  • A sense of what’s newly possible (and not yet possible) in AI-assisted accessibility workflows.
  • Tangible practices for integrating automation and assistive AI into your own dev or audit workflows.

This session is for accessibility professionals, developers, and tech leads who want to level up their impact -- and have a little fun doing it.

Bring your questions. Bring your war stories. Join us for a deeply technical (and hopefully mythically entertaining) exploration into what’s next for digital accessibility -- on both mobile and web.

Presenter bios Jason Tan is the co-founder and CTO of TestParty, a startup automating digital accessibility testing across platforms. Jason studied Computer Science, Economics, and Latin at Princeton, and previously worked as an iOS engineer at Twitch, where he encountered accessibility challenges during a live lawsuit.

At TestParty, he brings a uniquely technical and humanistic lens to mobile and web accessibility. Jason is passionate about building developer-first tools that don't just detect problems -- but help fix them.

Michael Bervell is the CEO and co-founder of TestParty, an AI-powered digital accessibility platform that automates WCAG remediation across web and mobile. He previously consulted on accessibility for Google and the United Nations and was awarded an NSF SBIR grant for advancing automated compliance technologies.

A published author and Harvard graduate, Michael's work sits at the intersection of AI, education, and inclusion. He’s passionate about building tools that make the internet equitable for everyone.

Accessibility The presentation will have human captions [CC], not automatic captions. There will be an ASL interpreter.

For Aira Visual Interpreter access for the Blind and Low Vision community, download the Aira Explorer app on the Apple App Store or Google Play. For access in the physical space, the A11yNYC geofence should apply automatically.

To access the online webinar for audio description, use the A11yNYC Access Offer to call, or simply inform your Visual Interpreter that you'd like that offer applied when you connect.

Please let us know about any other accessibility requirements two weeks before the event.

Livestream View on YouTube

Provided by Internet Society Accessibility SIG.

Location details The event is on the 4th floor. Everyone must be accompanied to the event on the 4th floor. Because everyone needs to be escorted, please arrive early or on time. When you enter the ground floor, a representative from A11yNYC will be there to provide elevator access. Attendees can enter on the third floor and go up the staircase, or request accommodation to go directly to the 4th floor. Thanks to Ben Ogilvie for making this possible! Let us know if you're coming! The building is near several transit stops: 6 train

  • Spring Street (non-accessible stop): 100 feet
  • Canal Street (accessible stop): 0.4 miles

NQRW trains

  • Prince Street (non-accessible stop): 0.2 miles
  • Canal Street (accessible stop): 0.3 miles

M1 / M55 Bus lines

  • Broadway/Spring Street stop: 500 feet

Cabs and rideshares can let passengers out right near the building entrance

Accreditation All A11yNYC meetups are pre-approved for IAAP Continuing Accessibility Education Credits (CAEC).

Sponsors Thanks to AKQA, Deque, Evinced, Equal Entry, and Fable for sponsoring. Want to be a sponsor? Contact [email protected]

Digital Accessibility's Gap: AI to Bridge Mobile and Web Barriers
Event Leaders of Analytics 2024-07-08
Brian Ferris – Chief Data, Analytics and Technology Officer @ Loyalty New Zealand , Jonas Christensen – host

Brian Ferris is a seasoned expert with over two decades of experience in technology and advanced analytics. Brian has an impressive track record, having worked in IT consulting for 9 years and client-side roles for 13 years with major organisations like the European Central Bank, BAT, Heineken, Nike and Loyalty New Zealand. In this episode, we dive into Brian's journey from supply chain operations to becoming Chief Data, Analytics and Technology Officer at Loyalty New Zealand. We explore the pivotal moments that shaped his approach to analytics and the leadership qualities essential for fostering a culture that embraces advanced analytics. We also discuss his new book, "Transition to Advanced Analytics: Get a Return on Your Analytics Investment," co-authored with Jason Tan. Brian shares what inspired him to write the book, provides a synopsis, and highlights key takeaways for organisations looking to transition to advanced analytics. Topics covered: Brian's analytics leadership journey: Discover the key factors that contributed to Brian's successful career progression and the pivotal moments that shaped his approach to analytics.Leadership in analytics: Learn about the essential leadership qualities needed to drive analytics initiatives and foster a culture that embraces advanced analytics.Evolution of analytics roles: Understand how the role of data scientists and analysts has evolved and which skills are now more critical than ever.Underrated tips and tricks: Brian shares practical tips and tricks that all data and analytics teams should use to increase their impact.About the book: Hear what inspired Brian to write "Transition to Advanced Analytics" and get a detailed synopsis of the book, including who it’s for and why it's essential reading.Common pitfalls and key takeaways: Find out the most common pitfalls organisations face when transitioning to advanced analytics and the key lesson Brian hopes readers will take away from the book.Brian on LinkedIn: https://www.linkedin.com/in/brian-ferris-a053532/ Brian's book, "Transition to Advanced Analytics: Get a Return on Your Analytics Investment".

Analytics
Jason Tan – Managing Director @ Data Driven Analytics , Jonas Christensen – host

If you dream of using analytics to optimise your customer interactions and squeeze additional value out of your existing operations, then is episode is for you! Today, most large services businesses have established data science functions that churn out countless reports, dashboards, customer insights packs, machine learning models, forecasts and predictions. With all this information to hand, you would hope that front-line operations are making data-driven decisions across the board. But alas, many of these same businesses struggle to turn their analytics into more than glossy PowerPoint packs that describe what could be done. Often, this is because the technical implementation of data science solutions run into resource constraints or remain unsupported by IT departments. So, how can we successfully make use of our analytical output in our front-line operations without spending eons creating overly complex systems that never quite deliver? To answer this question, I recently spoke to Jason Tan who is an expert in operationalising data science solutions that deliver positive customer outcomes and real financial results. Jason Is the managing director of consulting group Data Driven Analytics and an expert in optimising customer experience, pricing and long-term customer value.         In this episode of Leaders of Analytics, we discuss: How to use analytics to optimise your customer interactionsHow to identify the most valuable data science use cases in your organisationHow Jason has created successful data science solutions around legacy IT platformsWhether you should buy off-the-shelf pricing software or build your own solution

AI/ML Analytics Data Science
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