Blu Artificial Intelligence
Preparing Corporations for AI Transformation
Updated: Nov 18, 2020
Download our report on how executives can prepare their firms for successful AI adoption:
Many companies fail to scale up their AI pilot projects. Many AI initiatives have their budgets cut because they do not deliver results quickly enough.
The problem is not technology or talent. The culprits are often corporate culture and practices designed for a pre-AI age. To deploy AI at scale, executives must build a culture where business and technical teams can collaborate seamlessly.
The need to deploy AI at scale is increasingly relevant given the Coronavirus pandemic. COVID-19 has revealed the need and urgency to innovate business models. We expect that years of innovation will be squeezed into months. Companies that expect AI to be part of their innovation drive must ensure that they are able to deploy at scale.
Our 10-part AI transformation framework is designed to help CEOs and their executive teams implement AI at scale and achieve sustained competitive advantages. Our framework is not a sequential list. Different firms will be proficient in different areas.
Instead, this executive guide lays out the necessary conditions for a culture that promotes successful AI implementation. Executives can use this framework to diagnose their company’s AI readiness in each area.
The AI Transformation Framework
The Gartner CIO survey in 2019 claimed that 37% of 3,000 surveyed companies have already deployed AI. How can the remaining 63% fast-track implementation so that they do not fall too far behind?
Technology and talent are not enough. Firms must break down cultural barriers and rethink organizational structures to deploy AI across departments and geographies.
Executives can, however, use our 10-part framework to guide them on their AI transformation journey:
Aim to deploy AI at scale
Build AI awareness across the firm
Commit to an AI transformation vision
Embrace a data-driven culture
Plan a portfolio of AI projects
Allocate AI talent and assign responsibilities
Build an in-house AI team and partner with AI vendors
Connect business & technical teams
Integrate data silos
Invest in adoption and change management
Read the full report:
Contact us at email@example.com to discuss how your company can identify & implement high-value AI solutions. Feel free to contact our authors directly as well.