Data Report Software Review Weak Development Team 
CIO
MARCH 12, 2024
Generative AI is already having an impact on multiple areas of IT, most notably in software development. Early use cases include code generation and documentation, test case generation and test automation, as well as code optimization and refactoring, among others.
CIO
MARCH 11, 2024
According to Deloitte research , AI will boost the productivity of software development processes from 50% to 1000%. It will improve project management, help with requirements creation, assist developers with coding, cover the system with auto-tests, report defects, and improve deployment.
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CIO
JANUARY 24, 2024
Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.
CIO
DECEMBER 8, 2023
Barely a year after the release of ChatGPT and other generative AI tools, 75% of surveyed companies have already put them to work, according to a VentureBeat report. Hallucinations occur when the data being used to train LLMs is of poor quality or incomplete. Continually upgrade data quality. Deploy content filters.
CIO
OCTOBER 25, 2023
HAR files often contain sensitive data that malicious actors can use to imitate valid users. Unauthorized access to user accounts and sensitive information becomes a significant concern, leading to potential data breaches, financial loss, and unauthorized activity. In this recent OKTA breach, no reports suggest major incidents so far.
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. In theory , all software is debuggable. There is a much longer list of things that make software less than 100% debuggable in practice.
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. Static Code Analysis. This is usually done by analyzing the code against a given set of rules or coding standards.
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