TechCrunch
MAY 30, 2021
Oren Yunger is an investor at GGV Capital , where he leads the cybersecurity vertical and drives investments in enterprise IT, data infrastructure, and developer tools. Winning enterprise sales teams know how to persuade the Chief Objection Officer. In reality, compliance means that a company meets a minimum set of controls.
CIO
OCTOBER 24, 2024
Their teams miss out on crucial learning experiences, leaving them ill-equipped to handle genuine AI deployments down the road.” Nagaswamy has witnessed several organizations launching AI projects simply to impress board members or investors. This trend is concerning,” he says. “AI
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CIO
NOVEMBER 26, 2024
Solution: Invest in continuous learning and development programs to upskill the existing workforce. Security and compliance concerns Barrier: Modernizing IT systems often involves handling sensitive data and integrating with external platforms, raising security and compliance concerns. A: Expensive, bad processes.
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.
OTS Solutions
JUNE 21, 2023
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
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. Sometimes it actually creates more work than it saves due to legal and compliance issues, hallucinations, and other issues. It gets beyond what we can manage.”
CIO
NOVEMBER 27, 2024
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
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