Last December, Slow and Fin Analytics hosted our first annual conference focused on companies building AAI (artificial-artificial intelligence) systems. The AAI Conference was a great and solidified that is becoming increasingly clear to most people that the future is all about hybrid systems - mixing machines and human intelligence to provide superior services in consumer and business use-cases. Many companies are starting to move into this world, building next generation AAI systems that are faster, high-quality, and more efficient.
📻 The Leverage of Tech and Automation Panel
AAI systems get leverage from technology and automation. We discuss different approaches companies take to what they choose to automate fully, vs. semi-automate, vs. leave manual processes. How do you fit different types of work / steps of work to technology vs. human options.
3:39 - The panelists ponder how to decide what to build first when starting a company?
6:30 - Follow the people! How do to think about the fault tolerance for error, failure, risk vs. reward when reviewing of a pool of opportunities?
10:50 - It is way harder to collect data on humans than on machines. How do you think about clustering and compressing data when deciding what to automate and what not too?
11:50 - 'The Kramer Principle' -- a pop culture reference by Sam
14:20 - The panelists dive into how to best coach, measure and tag knowledge work to optimize routing.
17:45 - What have you tried to automate and and failed?
21:08 - Strategies to best recruit humans to work inside AAI companies
📻 AAI for Business Services
A series of AAI companies are taking on a range of corporate departments / roles… ranging from recruiting, to sales lead generation, to legal - hear from a set of companies looking at using AAI to replace or augment corporate departments beyond customer service.
3:53- Genevieve, Alex and Tyler expand on how to best architect tools and integrate with third parties you cannot control.
10:27- When is it best for AAI systems to go over the wall and start gathering data from clients in addition to learning from from their own closed-end loop?
12:06- Boaz provides the big company perspective on how to build out a platform that provides specialized services to clients while also servicing its own business units.
15:55- The panelists discuss what metric their respective company optimizes for clients and how to make it clear to customers the value they are creating.
20:45- "Oh shit" moments and how do to avoid them!
😋 Short Thoughts and Novelties...
Last week we highlighted the egg that broke instagram. At this point -- thanks to a Super Bowl ad in collaboration with Hulu -- everyone knows about the egg. But do you know the man behind the egg?
The success of brands like Allbirds, Casper, Away and others + the increasing costs of social ads has lead some to think D2C marketing makes the more sense in today's market. But D2C marketing really is really hard.