The widespread adoption of AI is an inflection point for CIOs. We are charged with creating an “Intelligent Enterprise”, where business operations are reimagined, optimized, and redefined by AI at scale. How can the CIO support this shift? What are the emerging
best practices?
At its core, intelligence (artificial or otherwise) is the ability to acquire and apply knowledge and skills to achieve specific outcomes. True intelligence lies in the ability to gather data, analyze it effectively, and then apply that analysis to drive
actions that produce results. This is a difficult task in itself. Now, imagine trying to accomplish that at scale across an entire enterprise:
- ensuring that AI works across systems, departments, and regions to meet industry regulations
- is in real time and at the pace of business
- and satisfies customer requirements and personalization expectations.
That’s the challenge of creating an Intelligent Enterprise.
The emergence of the Intelligent Enterprise took the convergence of several key market trends that have taken years to develop and mature to a point where enterprise-class standards could be met. The macro-level market trends are not new or mysteries, they
include digital transformation, cloud computing, and AI. No single one of those trends alone allows for an Intelligent Enterprise. All are required to operate AI at enterprise scale. Achieving this level of operational maturity requires careful planning and
execution, and it’s here where the CIO comes into play. As the leader already responsible for ensuring that enterprise systems are resilient, scalable, secure, and performant, the CIO is uniquely positioned to oversee the integration of AI into business operations.
At FICO, we have decades of experience in operationalizing AI at scale and with low latency. We have seen firsthand the challenges — and rewards — of embedding AI into mission-critical systems. My 15 years of experience operating AI systems at FICO for our
own internal use as well as for consumption by our customers gives me, as the CIO, a solid foundation for discussing what every CIO needs to know about supporting an Intelligent Enterprise.
Today, we find ourselves in the midst of an “intelligence revolution” driven by data, AI, and the expectation of hyper personalization. In fact, the growth of data is a core enabler of the current wave of transformation. By 2025, it is estimated that the
world will generate a staggering 181 zettabytes of data—nearly three times the amount created in 2020. To put that into perspective, 181 zettabytes is 181 followed by 27 zeros of new data. Managing this volume of data is a challenge in itself, but deriving
value from it is where the real potential of the Intelligence Revolution lies.
Scaling to handle this volume of data and spanning the entire enterprise from operations to customer engagement presents a challenge unlike the ones CIOs have encountered with disparate SaaS and legacy monolithic applications of the past. The breakthrough
here isn’t in AI itself, but rather in the technology that allows us to operationalize AI on an enterprise scale. Many companies are still in the pilot phase, exploring AI through small-scale proof-of-concept projects. However, when you look at how many organizations
have successfully operationalized AI to deliver tangible value, the numbers are much smaller. According to Boston Consulting Group, in 2024, only 22% of companies have progressed beyond the proof-of-concept stage, and only 4% are creating substantial value
from AI. The main barrier to realizing the full potential of AI is the challenge of operating it, and that’s where CIOs have a crucial role to play.
To successfully run AI at scale, CIOs must focus on integrating the right technologies, processes, and tools across the enterprise. For an Intelligent Enterprise, it means implementing AI in a way that is responsible, scalable, and can deliver real-time
results with ultra-low latency. This is no small feat, and it involves overcoming four core challenges:
- Scalability: To deliver AI solutions that work at enterprise scale, you need cloud infrastructure and hyperscaler technology that can handle vast amounts of data and provide the necessary processing power.
- Latency: For AI to be effective, it must provide actionable insights and decisions in real time. Whether it’s detecting fraud, optimizing supply chains, or enhancing customer service, AI needs to work fast and with precision.
- Responsible AI: AI systems must be transparent and explainable. It’s not enough for AI to simply make decisions; businesses must understand how and why those decisions are made. This can often be facilitated through technologies like blockchain that provide
immutable logs and audit trails. - Ease of Use: One of the key goals of operationalizing AI is to make it accessible to business users without requiring them to be AI experts. This means creating interfaces that allow non-technical users to interact with AI systems and make data-driven decisions.
One solution to overcome these challenges is to leverage AI platforms that accelerate and streamline the process. These platforms integrate the necessary technologies—cloud infrastructure, responsible AI capabilities, proven models, and low-code/no-code
interfaces—into one cohesive system. At FICO, we’ve developed our platform to simplify the operationalization of AI. We have developed capabilities that ensure AI decisions are transparent, accountable, and auditable. We leverage cloud infrastructure for
the scale required by enterprise applications.
Our low-code/no-code options allow business users to compose solutions without needing to write code. Our cloud-based platforms are designed with built-in cybersecurity controls and regulatory compliance certifications to meet business requirements. The
net result is that AI platforms like the FICO Platform accelerate the integration of AI across business functions, improve agility, and ensure that AI can scale and deliver value efficiently.
As businesses continue to evolve into Intelligent Enterprises, the CIO’s role is more important than ever. CIOs must help their organizations operationalize AI to unlock the full potential of the Intelligent Enterprise. By leveraging AI platforms and focusing
on responsible AI, scalability, and ease of use, CIOs can ensure that AI delivers measurable value to the business. AI platforms offer a crucial tool for CIOs, providing the infrastructure and resources necessary to support enterprise-wide AI adoption. As
we move forward, CIOs will need to embrace AI as a key part of their digital transformation strategy, ensuring that AI is operationalized and integrated across the entire business for optimal performance and success.
