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Enterprise Connect Schedule Viewer

Schedule Viewer tool is designed to help you find the sessions and other functions you're looking for at Enterprise Connect 2023.

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In the column to the left, please look under PASS TYPE, and:

  • If you're planning to attend In-Person, please click "Entire Event Orlando", "Expo Plus Orlando" and/or "Tuesday-Thursday Orlando".
  • If you're planning to attend Virtually, please click "Entire Event Virtual" and/or "Expo Plus Virtual".

Click on session titles for full session descriptions. All times noted are in EDT.


Speech Technology Roundtable: Leading Enterprise Applications and Emerging Use Cases

Jon Arnold  (Principal, J Arnold & Associates)

Jim Blake  (Chief Product Officer, LumenVox)

Dan O'Connell  (Chief Strategy Officer , Dialpad)

Mahesh Ram  (Head of Contact Center, Digital Customer Experience, Zoom)

Location: Sun B

Date: Wednesday, March 29

Time: 4:00 pm - 4:45 pm

Pass Type: Entire Event Orlando - Monday-Thursday, Tues - Thurs Conference Orlando - Get your pass now!

Session Type: Session

Track: Collaboration Platforms

Vault Recording: TBD

As advances in AI lead to improvements in speech technology, enterprises are seeing potential use cases expanding. Key examples include virtual assistants, which can integrate speech recognition with office productivity tools; and intelligent meeting summaries, where AI-driven applications can go beyond basic transcripts to offer a concise synopsis with easy access to related documents. So what use cases could apply for your enterprise, and how do you evaluate the benefits? In this session, a leading industry analyst will review the current state of speech technology applications for the enterprise, and then will lead a discussion among industry experts to describe real-world use cases and realistic next steps for enterprises seeking to deploy this technology. You’ll come away from this session knowing the current state of the art for speech technology-driven applications, and where they bring business value for your enterprise.


  • What are the leading applications using speech technology and AI in the enterprise?
  • How accurate is current transcription software, and how accurate does it need to be in order to enable more advanced applications like intelligent meeting summaries?
  • What expertise does your IT team need to support applications enabled by AI and advanced speech tech?
  • Is there an ROI case for adopting speech technology-enabled applications, and if so, how do you make it?