Welcome to BSME2E
Stakeholders: CEO, Strategy/PMO, CXOs/Function Heads
Establish an assessment process to gauge the AI maturity confirming assimilation and integration of essential capabilities
Drive strategic process for continuous prioritization of AI initiatives through enablement, optimization & transformation
Create leadership forums to strategize, review, guide & govern the AI capability development program
Stakeholders: Business Teams, HR, Finance
Approach to develop AI talent/ capability across levels & functional areas incl the right org design, engagement model, external relationships
Self managed pods to drive business initiatives while managers display servant leadership and enable / coach team vs direct “waterfall”
Ensure budgets for “experimentation” for new ideas/partnerships/approaches/people to allow capability development & ensure accountability
Ecosystem/ partnership 1st culture to leverage ABG assets, external partnership ecosystem to reduce duplication enhance velocity
Stakeholders: CDO/CIO/CDAO, Business Teams, Plant Teams
Have a data, analytics and AI operational strategy i.e., a executable roadmap of data assets, governance and partnerships
Build and Utilize group assets i.e., functional data platforms (logistics, procurement, energy etc), DDC, vendor/partner ecosystem, approach/ frameworks to drive initiatives
Support and align the overall digital roadmaps for businesses at group level. Standardize tech, analytics, data and people roadmaps
•Upskilling/Hiring AI Talent & ensuring post-training change in way of life
•These AI champions will be critical to driving adoption of AI initiatives through BOT, etc,. leading to a sustainable culture change within the business teams – towards creating a counterpart for the central team
•Pro-active advisory on Funding and Budgets that ensure investment in AI to reap benefit in the long-term
•Leveraging External Partner Ecosystem to solve for known & unknown problems
•Creating tangible impact through a variety of AI initiatives spanning across the value chain from manufacturing to sales
•Building DnA platforms that accelerate deployment & adoption across businesses and enable best-practice sharing between businesses
•Enabling businesses establish a robust data platform through integrated data strategy that accelerates all future interventions
– Reach more units/functions through baseline awareness
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Focus on depth & adoption to improve maturity levels
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Create multi-level engagement to foster best-practice sharing
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Beyond Training – How to ensure post-training change?
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Focus on depth & adoption to improve maturity levels
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Proactive advisory to ensure investments
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Leverage external ecosystem to drive innovation & disruption
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KPI improvement – High-impact & strategic initiatives – Across value chain
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Focus on deployment & adoption
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Drive industry best practices in storage, integration for effective value creation
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