CIO
MARCH 13, 2025
According to a survey conducted by FTI Consulting on behalf of UST, a digital transformation consultancy, 99% of senior IT decision makers say their companies are deploying AI, with more than half using and integrating it throughout their organizations, and 93% say that AI will be essential to success in the next five years.
CIO
NOVEMBER 12, 2024
Without a strong IT culture, inspiring IT teams to extend beyond their “run the business” responsibilities into areas requiring collaboration between business colleagues, data scientists, and partners is challenging. Additionally, 84% of leaders believed their organizations had strong teamwork compared to 60% of team members.
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Hacker Earth Developers Blog
SEPTEMBER 27, 2024
A high-performance team thrives by fostering trust, encouraging open communication, and setting clear goals for all members to work towards. Effective team performance is further enhanced when you align team members’ roles with their strengths and foster a prosocial purpose.
CIO
OCTOBER 24, 2024
A substantial 36% of IT professionals surveyed by Dice.com believe that the primary purpose of many AI projects they’ve worked on is to show investors, board members, or outside stakeholders that the company is doing something with AI. This trend is concerning,” he says. “AI
TechCrunch
MARCH 31, 2023
The expense involved in recruiting, training and onboarding a new employee who turns out to be a poor fit could be equivalent to 50% of that person’s first-year salary. “Pipeline generation at early-stage companies is expensive and time consuming, often more so than the sales process itself.
CIO
NOVEMBER 13, 2024
But a substantial 23% of respondents say the AI has underperformed expectations as models can prove to be unreliable and projects fail to scale. According to the company’s latest global survey of desk workers, employees spend 37% more time on routine administrative tasks instead. There’s a lot of potential, though,” says Janzer.
CIO
JANUARY 5, 2025
Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.
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