Analysis Technical Review Weak Development Team 
TechEmpower CTO
SEPTEMBER 25, 2023
When speaking with founders and CEOs, we often hear concerns like this: My project manager is losing confidence in the development team. I think that poor communication and differing team cultures might be part of the problem, but how can I know for sure? This is where a technical review can be useful!)
OverOps
AUGUST 19, 2019
What’s the difference between static and dynamic code analysis, and how do you know which to use? Static code analysis is analogous to practicing your baseball swing with a practice net and a pitching machine. Now, let’s compare and contrast the two different styles from a technical perspective. Static Code Analysis.
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TechCrunch
OCTOBER 18, 2022
The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud data centers, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence.
OverOps
MARCH 26, 2019
Many organizations have been struggling to understand not only the cost of downtime, but how to quantify the quality of their software and what the cost is of poor quality code. A new report from the Consortium for IT Software Quality ( 1 ) covers the cost of poor software quality, shedding light on those topics. ?? NEW POST ??
CIO
AUGUST 8, 2024
Technical debt is a growing problem that businesses can’t ignore. These technical challenges can significantly impact the performance and stability of critical operations and must be addressed as a priority. Organizations spend an average of 30% of their IT budgets and investing on technical debt management.
CIO
OCTOBER 15, 2024
In today’s rapidly evolving technological landscape, the role of the CIO has transcended simply managing IT infrastructure to becoming a pivotal player in enabling business strategy. Step 2: Understanding competitors Competitive analysis IT leaders must understand the competitive landscape to position their organization for success.
TechCrunch
JULY 14, 2022
In a 2018 report , Gartner predicted that 85% of AI projects will deliver erroneous outcomes due to bias in data, algorithms or the teams responsible for managing them. The two met at a tech industry function about 10 years ago. the number of edge cases). per hour. .”
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