294 karma · joined June 6, 2018
Statistically speaking 2/10 have an ongoing mental struggle so I try not to make the “hi” transactional and immediately follow up with the point in the same message.
Pick some sort of standard, for example CAIQ and have an always-up-to-date version of it. You’d be surprised how many customers would accept it if you tell them “hey - we use a standard - is this acceptable?”
After that - figure out what certifications will be advantageous. Then automate, automate, automate with something like Hyperproof/Vanta. You will still need a compliance person or more likely a team at that point, so those certs have to unlock some serious money. Otherwise - just stay on top of VSA’s until running a compliance program makes sense.
Just don’t fall for the baseless “SOC2 equals enterprise customers” spiel. Analyse your pipeline and regulatory environment and make a call based on that. So many startups spend millions running a compliance program that brings in thousands.
- Clearly state your values and stick to them - it’s much more comfortable to people to work with a predictable leader and builds trust over time.
- Provide rich context to the team and ask for business outcomes, not specifics.
- Communicate, communicate, communicate - especially if you work in a remote team/company. You need to have a constant dialog going with the team - it’s up to you how, however - there’s a lot of different ways to facilitate.
- Remember your promises and provide people with resolutions to issues they raise, follow up! I know it sounds self explanatory but so many managers just plain forget the things you ask immediately after your 1:1’s.
- Do your 1:1’s for gods sake! Weekly preferably.
> Much like victims of childhood hardship or abuse can find escape in fantasy books, victims of enterprise programming or freelance web development can find their escape in solving imaginary problems.
“”” If you routinely pass in a dataset to AI, it can identify anomalies and watch to see if it settles or even reason why the anomaly occurred in the first place. “””
This is not a great use for LLM’s. AI? Sure. But not this type of it.
Gmail Autocomplete, Photos Classification, YouTube recommendations are (relatively) simple models and don’t differentiate from the market much.
The thing that bothers me is that Google has been promising market-beating ML-as-a-service for ages which never materialised despite billions being poured into it.
Google Prediction API has been a great start in the area. Then Google stopped improving it and killed it with very little notice and without providing an alternative.
EDIT: Yes, there is TensorFlow but that is not really a product of the core AI teams, rather than a need for better tooling from them.
“What do you mean an oppressive environment is not conducive to good team dynamics?”
“We strive to honor God and Jesus Christ in all we do as we conduct business, and to follow Biblical principles exemplified in Jesus’ Healing Ministry throughout the New Testament as we implement health programs for the people we serve.”