Metrics Off-The-Shelf Weak Development Team 
CIO
JULY 10, 2024
Google has finally fixed its AI recommendation to use non-toxic glue as a solution to cheese sliding off pizza. Hyperscalers are stepping up Tommi Vilkamo is the director of Relex Labs at supply chain software company Relex, where he heads a large, centralized data science team. It can be harmful if ingested.
Altexsoft
OCTOBER 21, 2022
After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. We describe information search on the Internet with just one word — ‘google’.
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The Accidental Successful CIO
OCTOBER 12, 2022
All too often they end up building something new rather than buying off the shelf. The answer is that CIOs are not using business metrics to influence investment. However, this is where things can start to get a bit complicated. Where Is The Money Going? Let’s face it, our companies spend a lot of money on technology.
Marcus Blankenship - Podcasts
APRIL 2, 2020
Is your team running so smoothly that it hums? In this episode of Programming Leadership, Marcus and his guest, Ron Lichty, discuss what makes high-performance teams versus what makes low-performance teams. Most teams already know which category they fall into, but the solution to a low-performing team isn’t always clear.
TechCrunch
MARCH 22, 2022
Smartphone cameras have gotten quite good, but it’s getting harder and harder to improve them because we’ve pretty much reached the limit of what’s possible in the space of a cubic centimeter. It may not be obvious that cameras won’t get better, since we’ve seen such advances in recent generations of phones.
Henrik Warne
MAY 26, 2019
DevOps in this context means things like continuous delivery, automated tests, trunk-based development, and proactive monitoring of system health. Many aspects of software development are hard to measure. I really liked that the authors have thought hard about what to measure in order to get objective yet useful metrics.
O'Reilly Media - Data
MARCH 22, 2018
Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
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