Uncle Marv interviews Dawn Sizer at the ASCII event in Boston, marking their first in-person meeting. Dawn shares her experience speaking at the event about automation and the positive response from attendees. They discuss the challenges of remote work verification, particularly in light of deepfake technology, and explore potential solutions such as enhanced background checks and identity verification methods.

The conversation shifts to recent vendor issues in the industry, with both acknowledging that such problems could affect any company. They also touch on the problem of remote workers using automation to fake activity, highlighting the need for better monitoring solutions.

Dawn elaborates on the benefits of ASCII membership, which she's been part of since around 2017. She emphasizes the value of community, networking opportunities, and financial benefits such as discounts on business insurance and vendor relationships. Dawn also mentions ASCII's women's network, which provides support and business-building opportunities for women at all levels in IT organizations.

Key Takeaways:

• Remote work verification is becoming increasingly challenging due to deepfake technology
• Enhanced background checks and identity verification may be necessary for remote hiring
• Recent vendor issues highlight the vulnerability of all companies in the industry
• ASCII membership provides valuable community, networking, and financial benefits for MSPs
• ASCII offers a women's network for support and business-building in the IT sector

Links:

ASCII Edge - The MSP Conference: https://events.ascii.com/

3rd Element Consulting: https://www.3rdelementconsulting.com/

=== Show Information

Website: https://www.itbusinesspodcast.com/

Host: Marvin Bee

Uncle Marv’s Amazon Store: https://amzn.to/3EiyKoZ

Become a monthly supporter: https://www.patreon.com/join/itbusinesspodcast?

One-Time Donation: https://www.buymeacoffee.com/unclemarv

=== Music:

Song: Upbeat & Fun Sports Rock Logo

Author: AlexanderRufire

License Code: 7X9F52DNML - Date: January 1st, 2024