FEATURE: INVESTMENTS
Dr Roman Atachiants, Head of AI and Data Architecture, inDrive
Balancing innovation with resilience
Today, we face a critical challenge: how to drive innovation while building resilient, trustworthy systems. At inDrive, we’ ve learned that the most effective technology investments are those that push boundaries while reinforcing the foundations of trust, security and human connection.
1. Start with purpose The best AI investments solve real problems that users and businesses face. Rather than automating for efficiency’ s sake, companies should focus on technology that creates genuine value and empowers people. At inDrive, we use AI for driver identity verification and fraud detection not because it’ s trendy but because safety is fundamental to our mission.
As a first step when considering new technology investments, CIOs should ask themselves two essential questions: does this investment align with our core values, and does it enhance human capabilities or simply replace them? Technology should never be a substitute for human judgement and empathy. Instead, businesses should focus on using it as a force multiplier that empowers their teams and helps them better serve their customers.
2. Build platforms that scale Companies should invest in unified data and AI platforms with strong governance from day one. This helps ensure compliance and enables your systems to adapt and grow as you scale without compromising security or putting user trust at risk. At inDrive, we’ re scaling our data and AI platform to enable real-time analytics and efficient MLOps while maintaining strict privacy controls( e. g. EU’ s GDPR, AI Act), regardless of local regulations.
Resilience comes from having robust foundations. So, establishing clear AI governance, internal codes of conduct and cross-functional teams that can experiment safely while scaling
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