Daily Check-In and Status Email Check-Ins

Daily Check-In and Status Email Check-Ins

When projects get rolling and eventually when the team is in crunch time, there is a strong need to keep the PM/BAs/Developers all on the same page. To that end, here is what we do:

  • Morning and Evening Check-Ins:
    • Review the open issues/bugs/next steps
    • Schedule the day of bug fixing, testing and any other analysis work needed
  • Detailed Status Emails (after each check-in):
    • Yesterday Review: [DATE]
      • [MODULE Name 1]
        • [Bugs/Fixes/Updates listed out]
        • [MODULE Name 2]
        • [Bugs/Fixes/Updates listed out]
    • Todays’ Most Important Tasks: [DATE]
      • [MODULE Name 1]
        • [Bugs/Fixes/Updates listed out]
      • [MODULE Name 2]
        • [Bugs/Fixes/Updates listed out]
    • This Week
      • Monday, MM/DD:
        • [Likely Task/Goal/Milestone]
      • Tuesday, MM/DD
        • [Likely Task/Goal/Milestone]
      • Wednesday, MM/DD
        • [Likely Task/Goal/Milestone]
      • Thursday, MM/DD
        • [Likely Task/Goal/Milestone]
      • Friday, MM/DD
        • [Likely Task/Goal/Milestone]
    • UPCOMING MILESTONES:
      • Milestone 1 by MM/DD
      • Milestone 2 by MM/DD
    • Future Release Planning/Backlog
      • Note: Items added to Smartsheets backlog here.
      • [Module 1] Backlog
      • [Module 2] Backlog

 

Welfare in the Exponential Age with Azheem Azhar

Welfare in the Exponential Age with Azheem Azhar

One of the challenges we face are the need to innovate and transform our institutions to be more dynamic and regenerative. Whether it be the WHO, World Bank, UN, or a government agency, etc. — these institutions were made for a world that was far more stable; they were designed in a world where rapid pace of technological was not a part of the discussion.

This podcast discusses the concepts of the commons of the future, the idea of welfare state in the future, and ideas around new industrialist. Hilary Cottam and Azheem Azhar have an intense and dynamic conversation.

One of the key ideas from Hilary, we must move from Homo econonomicus to Sapiens integra:
– “Homo econonomicus — guided by ration to maximize economic gains”
– “Sapiens integra — a new theoretical human with stronger connections to nature and other humans”

https://podcasts.apple.com/us/podcast/exponential-view-with-azeem-azhar/id1172218725?i=1000468097013

This is worthy of your time. And, learn more about https://www.hilarycottam.com/.

 

Data Portability: NYPD vs. Palantir

Data Portability: NYPD vs. Palantir

The concept of data portability is all too often simplified to the question “Can we have our data in a machine readable format?”

At best, this ensures the data can be loaded to a new system and at worst the data can be added to a data warehouse.

Palantir, Peter Thiels company, provides a lens into the importance of “thinking from the end” with systems — i.e. what happens what the system potentially reaches obsolescence or you simply want to leave it for whatever reason.

Can you get the data out?

And, can you output the analysis in machine readable format to continue the work in another system?

I assume most companies will not hand over queries as they could claim they are proprietary.

However, this complexity, clear provides the importance of creating in-house capabilities for analytics, and building in the end of contract clauses and what they actually mean into contracts. 


The department has created a new system to replace Palantir, and it wants to transfer the analysis generated by Palantir’s software to the new system. But Palantir, the NYPD claims, has not produced the full analysis in a standardized format — one that would work with the new software — despite multiple requests from the police department in recent months.

Big data helped New York’s cops bust Bobby Shmurda. But as the NYPD’s contract with tech giant Palantir comes to an end, things could get messy.
— Read on www.buzzfeednews.com/article/williamalden/theres-a-fight-brewing-between-the-nypd-and-silicon-valley

Machine Learning Innovation Rules

It’s tempting to get caught in the trap of applying a promising new technology like Machine Learning to every problem, but try and resist this temptation. Instead, try to follow Joshua Porter’s advice as he states in his Principles of Product Design:

“…[P]roduct innovation isn’t about new products that solve new problems. Product innovation is about new products that solve existing problems better than they’re currently solved.”

https://spotify.design/articles/2019-12-10/three-principles-for-designing-ml-powered-products/