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Massive COVID-19 Contact Tracing Programs and the Opportunity for 100x Scale and Speed
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When? This feed was archived on July 31, 2025 12:10 (). Last successful fetch was on December 25, 2024 14:28 ()
Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 264330645 series 2408553
Many governments are racing to hire tens of thousands of contact tracers to control the spread of Coronavirus infections. Human call center agents would be tasked with tracking down, contacting, and interviewing individuals that were in contact with individuals that test positive. By many estimates this could involve the hiring and training of several hundred thousand people.
While there is a need for human resourcefulness to investigate the various cases, the sheer numbers that will be required is an opportunity for technology. Unfortunately, most innovation strategies follow traditional call center models – making agents more efficient and maximize hourly throughput. What’s missing is the notion of driving 100x scale, without hiring 100x agents.
In this episode of Digital Conversations, Greg Johnsen and Greg Kefer discuss the challenge contact tracing initiatives face. The massive hiring and training required begs for different thinking. Digital agents that can conduct thousands of simultaneous conversations, collect answers, provide answers, and support other basic interactions can replace scripted human agents and deliver unlimited capacity.
67 episodes
Archived series ("Inactive feed" status)
When? This feed was archived on July 31, 2025 12:10 (). Last successful fetch was on December 25, 2024 14:28 ()
Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.
What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.
Manage episode 264330645 series 2408553
Many governments are racing to hire tens of thousands of contact tracers to control the spread of Coronavirus infections. Human call center agents would be tasked with tracking down, contacting, and interviewing individuals that were in contact with individuals that test positive. By many estimates this could involve the hiring and training of several hundred thousand people.
While there is a need for human resourcefulness to investigate the various cases, the sheer numbers that will be required is an opportunity for technology. Unfortunately, most innovation strategies follow traditional call center models – making agents more efficient and maximize hourly throughput. What’s missing is the notion of driving 100x scale, without hiring 100x agents.
In this episode of Digital Conversations, Greg Johnsen and Greg Kefer discuss the challenge contact tracing initiatives face. The massive hiring and training required begs for different thinking. Digital agents that can conduct thousands of simultaneous conversations, collect answers, provide answers, and support other basic interactions can replace scripted human agents and deliver unlimited capacity.
67 episodes
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