CIO
OCTOBER 10, 2023
But it is equally vital to identify those people who can develop into managers and create a path forward for them as well. The most innovative engineer does not always become the most successful engineering manager. Changing the equation IT has not traditionally tried very hard to develop strong managers from within.
CIO
MARCH 12, 2024
Generative AI is already having an impact on multiple areas of IT, most notably in software development. Still, gen AI for software development is in the nascent stages, so technology leaders and software teams can expect to encounter bumps in the road.
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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.
CIO
OCTOBER 16, 2023
Earlier this year, I wrote about the importance of organizations reviewing their password management strategies. The firm had seen continuous patterns of activity that showed that bad actors tried to get passwords to privileged user accounts. According to reports, MGM and Caesars were both customers of identity management company Okta.
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.
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.
Honeycomb
SEPTEMBER 20, 2023
Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Namely, that LLMs are black boxes that produce nondeterministic outputs and cannot be debugged or tested using traditional software engineering techniques.
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