Xebia
APRIL 4, 2024
In today’s business world, the synergy between stakeholders, product management and development teams are paramount. Customer’s problem At one of our major clients at Xebia customers complained, that the project velocity was inconsistent, while the development team seemed perpetually busy.
Erik Bernhardsson
DECEMBER 12, 2023
You can of course make a series of obviously bad decisions, but you'd get fired quickly. Technology When joining, require a 6-18 months rewrite of core systems. Split systems along arbitrary boundaries: maximize the number of systems involved in any feature. Encourage communal ownership of systems.
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CIO
OCTOBER 25, 2023
On October 20, 2023, Okta Security identified adversarial activity that used a stolen credential to gain access to the company’s support case management system. Once inside the system, the hacker gained access to files uploaded by Okta customers using valid session tokens from recent support cases.
CIO
JANUARY 24, 2024
Without mission-orientation, it can be especially challenging for organizations to prioritize data initiatives, allocate resources efficiently, and foster an engaged workforce that has a clear understanding of how their work has a genuine impact on business outcomes.” Overlooking these data resources is a big mistake.
Gorilla Logic
MARCH 17, 2023
Have you ever been part of a team where tickets are hard to understand or don’t supply enough detail for the team to properly work? Experiences like these make many developers think about using Behavior-Driven Development (BDD). Know your team members You work with your team every day and know them well.
CIO
MAY 8, 2024
On the IT front, group CIO Marcelo Dantas and his team look after technology across the entire business, which includes product engineering, service, security and infrastructure. Building trust within and among teams and promoting collaboration are integral to success. It’s not always about the money.
TechCrunch
JULY 14, 2022
In the rush to build, test and deploy AI systems, businesses often lack the resources and time to fully validate their systems and ensure they’re bug-free. 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.
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