HOW TO SUCCESSFULLY SCALE
Companies that adopt an AI strategy, scale through the conscious use of technologies, eliminate background noise from data and define multidisciplinary work teams.
Intentional use of Artificial Intelligence (AI)
Companies that scale AI strategies plan pilot projects by defining medium-long times for the achievement of intermediate objectives. Generally, the time to pass from the pilot phase to the scale phase is around two years, spending less than proof of concept-oriented companies, but with relevant results.
Companies that scale strategies are equipped with systematic planning, leadership, and definitions of time and responsibility.
Eliminate background noise from the data
90% of the data in the world was created over the last 10 years, but after years of collecting, storing, analysing and reconfiguring information, most organisations cannot manage the huge volume of data and do not know how to clean, manage, maintain or use it.
Companies that scale AI strategies will be able to eliminate the “noise” surrounding the data. They recognise the importance of business-critical data, identifying financial, marketing, consumer, and master data as priority domains, and they are proficient at structuring and managing.
They use appropriate tools such as Cloud-based data sets, data engineering and data science work tables, research and data analysis for their applications
Definition of multidisciplinary teams
The ability to scale an AI strategy involves the integration of multidisciplinary teams, sponsored and aligned by management. These teams are usually led by data scientists, data modellers, machine learning engineers, AI engineers, data visualization engineers, process engineers, IT managers.
INDUSTRIALISE THE AI STRATEGY
- Focus on investments in the logic of ROI;
- adopt a mentality oriented toward the use of technological platforms, necessary to scale
- Build trust through the responsible use of artificial intelligence (AI)
Artificial intelligence is not just about speed
it’s about intentionally moving in the right direction.It’s not just about money
It is about adjusting investments in the right place with the intention of bringing about change on a large scale.It’s not just about more data
It is about investing in data, deliberately yet pragmatically, to determine the right insights.It is not about a single leader
It’s about building multidisciplinary teams that bring the right skills.Scaling the exponential power of AI across the enterprise is a journey. Learning from what emerges from the different paths allows you to reach the final destination: a company in which people blend perfectly with the intelligence that increases both productivity and effectiveness.
The result is the systematic growth of an indisputable competitive advantage on all fronts, from organisational effectiveness to brand perception and trust.