Vani Mittal
Vani Mittal
Architect
IBM
Vani Mittal is a seasoned technology leader with a Master’s in Computer Science and over 22 years of experience. As an architect at IBM Cloud, she drives the design and implementation of robust security frameworks that safeguard cloud services and data. Her work ensures alignment with industry best practices and regulatory compliance standards. Vani also plays a role in advancing Site Reliability Engineering (SRE) practices. She partners with cross-functional teams to improve system reliability, scalability, and performance. Her contributions span defining service level objectives (SLOs), automating monitoring and alerting, and leading incident response and postmortem analysis to foster a culture of continuous improvement and resilience. Vani is also a passionate advocate for knowledge sharing and community engagement. She frequently speaks at conferences such as Society for Women Engineers (SWE), Women in Cyber Security (WiCyS), and Day of Shecurity (DoS).
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CXOs are under increasing pressure to adopt Gen AI swiftly to maintain a competitive edge while managing the associated risks. Around 64% face investor and stakeholder pressure to accelerate adoption, yet ethical concerns remain a major hurdle—79% acknowledge the importance of AI ethics, but less than 25% have actually implemented ethical principles in practice. As a result, nearly 72% of organizations risk missing out on Gen AI benefits due to these concerns. Interestingly, three out of four executives now see ethics as a competitive differentiator. Each key stakeholder brings a unique perspective: CFOs worry about profitability, CMOs about brand reputation, CHROs about talent impact, CPOs about regulatory compliance, CROs about enterprise risk, CDOs about data integrity, and CEOs about overall accountability. Real-world cases like iTutor Group’s AI system rejecting candidates based on age and Amazon’s AI recruiting tool showing gender bias highlight the importance of addressing data and ethical issues before fully embracing Gen AI.