AI-Generated - Enterprise Sight

AI adoption: how to avoid the ‘Dr. No’ Trap

AI-Generated, Blog, Business, LeadershipAugust 22, 2024260Views 0Likes 0Comments

As organizations race to leverage AI, many are finding that the biggest challenge is managing the “shadow AI” implementations that often occur outside the formal oversight of IT and risk management. These unseen, unsanctioned uses of AI can lead to a lack of awareness and control, resulting in potential risks that could undermine the very…

Revolutionizing data preparation: AI as both the means and the end

AI-Generated, Blog, Business, LeadershipAugust 15, 2024242Views 0Likes 0Comments

As we move into an era of AI-assisted decision making, the adage “garbage in, garbage out” has never been more relevant. Yet, the traditional approach of exhaustively cleaning data before leveraging it is becoming obsolete. Incomplete or inaccurate data fed into AI systems reveals valuable insights. When AI produces suboptimal responses, it can effectively highlight…

Compliance and security when scaling AI

AI-Generated, Blog, Business, LeadershipAugust 8, 2024236Views 0Likes 0Comments

As AI becomes increasingly integral to our operations, we’re faced with a critical challenge: how do we scale these systems while maintaining robust compliance and security? When we introduce multiple AI components into our ecosystem, we’re not just expanding capabilities but creating a complex web of interactions that demand careful oversight. Each new AI solution…

Leveraging AI to integrate enterprise infrastructure

AI-Generated, Blog, Business, LeadershipJuly 25, 2024241Views 0Likes 0Comments

In the rush to adopt AI, many organizations overlook a critical opportunity: using AI to integrate their enterprise infrastructure. This approach can not only prepare you for broader AI adoption but can also streamline your existing systems.

A CIOs perspective on AI’s impact on data governance

AI-Generated, Blog, Business, LeadershipJuly 18, 2024227Views 0Likes 0Comments

A common topic currently is how to confidently implement AI while maintaining solid data GRC (Governance, Risk, and Compliance). After two decades of navigating data GRC requirements, it’s clear that AI introduces new challenges to traditional and proven ways of handling them.

Rethinking AI: 3 Key Takeaways for Enterprise Leaders

AI-Generated, Blog, Business, LeadershipJuly 11, 2024234Views 0Likes 0Comments

Many enterprise leaders are asking, “How do I integrate AI into my business?” but this question is actually not helpful for developing an AI strategy. Instead of starting with how to integrate AI, we should be asking, “How do I overcome my business challenges and enhance performance?”

Architecture Strategy in the Age of AI

AI-Generated, Blog, Business, LeadershipJuly 1, 2024243Views 0Likes 0Comments

As we embrace AI, it’s crucial to remember that architecture strategy has always been the backbone of successful tech infrastructure. Adding AI is no different – it’s an evolution of our existing approaches, not a complete overhaul. Our transition from on-premise data centers to cloud adoption offers valuable lessons. We must apply this knowledge as…

Embracing AI with three lessons from previous technology transformations

AI-Generated, Blog, Business, LeadershipJune 30, 2024222Views 0Likes 0Comments

Many businesses see AI agents as tools to automate existing processes, but this approach limits their potential. It’s like strapping a jet engine onto a horse-drawn carriage. The carriage moves faster, but it is still following the same old path. The real value of AI agents isn’t in making outdated systems more efficient, but in…

Are You Overlooking Key Elements of Your AI Strategy?

AI-Generated, Blog, Business, LeadershipJune 27, 2024244Views 0Likes 0Comments

When building an AI strategy, it’s easy to get caught up in the technology itself or to focus narrowly on a single business area like customer care. But seasoned CIOs — veterans of multiple digital transformations — know that a truly comprehensive AI strategy must navigate at least three cascading challenges.