Scaling Data & AI is a top CIO priority - but approaching it as 'another IT Project’ leads to failure.

Of the ?????? ???????? ?????? ???????????????????? from a Gartner ???????????? of 12k CIOs, four relate to a common theme: ?????????????? Data and ???? ???? ?????????????? ???????????????? ????????????.

1. How do I scale AI projects from early exploration to delivering measurable value?

2. How do I build a scalable, integrated data-driven foundation to support high-impact decisions?

3. How do I ensure my organization has the right (AI) skills and expertise to respond to emerging technologies?

4. How can I negotiate costs, maintain control and manage supplier risk (with Gen AI risking significant overruns and ballooning costs)?

(S?????????? - ??????????????: ?????? ?????? 5 ?????? ?????????????????????? ?????????????????? ???? 12?? ???? ???????? ?????? ??????????).

T???? ????????? ?????????????????????? Data & ???? as a ?????????????????????? ???? ??????????????.

Too many organizations approach data and AI initiatives with the same mindset adopted for traditional ???? ???????????? ?????????????????????????????? - leading to ????????????, ???????? ????????????????, ?????? ?????????????? ???? ?????????????? ??????????. Scaling data and AI, involves key differences versus traditional IT projects - not recognising these increases the risk of failure.

95% of Fortune 1000 companies state that capabilities, culture and ways of working are the biggest challenge to scaling AI – only 5% state that its due to technology issues.

? The Right Data & AI Approach Evolves as a Result of the Project, it's not the Starting Point.

Traditional IT projects have detailed business requirements and specifications, that are then matched against vendor solutions. Data and AI projects ?????????????? the ????????????????, ?????????????????????????????? ?????? ?????????????????? ???? ?????? ???????????????? – exploring what is the business need to be solved, evolving to reflect new insights, and adapting to emerging challenges. The end solution often ‘solves the problem’ in materially different way than initially thought.

? Data and AI Transform Decision-Making, not just Process Improvement.

Unlike IT systems, where the goal is often to digitise and optimise processes, AI and data solutions ???????????? ?????? ???????????????? ?????????? ???????? ?????????????????? ?????? ???????? ????????????. Success isn’t about installing new tech—it’s about transforming capabilities and ways of working. Exploring how decisions are currently made and proving how data/ AI augments user expertise is often the difference between adoption or failure.

? Scaling the Value of AI Involves more than Implementing a Vendor Solution.

Scaling AI isn’t just about buying a tool. It involves expertise in selecting and applying the right tools and methodologies to solve the specific problem. ???????????????????????????? ???????????????? ?????? ???????????????? ?????????????????? ????????????????????????, ???????????????? ???? ???????? ???????????? ?????? ?????????????? ??????????????????????/ ???????????????????? - not just assuming users will adopt it like a system switch-over or relying on vendors to fix and upgrade the solution. The hard part often comes once a workable solution is found – reflecting that most AI projects stall at pilot completion.

Data and AI teams have a lot to learn from IT teams - but ???????? ???????? ???? ?????????????? ?????????? ???????????????? ???????? ???????????????????? ???? ?????????? ????. Without adapting their strategy, businesses ???????? ?????????????????? ?????? ???????? ???????????????? ???????? ???????? ?????????????? ???????? ???????????????? ???? ???????? (?????? ?????????????? ?????????? ???????????????? ???????? ?????????? ???????????????????? ???????????????? ???? ???????? ?????????????????? ?????? ?????????????? ????????????????).

?????? ?????? ?????? ???????????????? ???????? ???????????????? ???? scaling D?????? ?????? A?? ???? ???????????????? ?????? ???????????? ???? ???????????????