The Pervasive Challenge of AI/ML and Burning Platforms

Never let your Asset Data Foundation turn into a Burning Platform

2024-04-30 Technology - LinkedIn Post

The Pervasive Challenge for AI - Never let your Asset Data Foundation turn into a Burning Platform where drastic steps become a necessity. 

A Burning Platform is a metaphor often used to create urgent remedial action, but in reality, it is something a Real Leader never wants to say, hear, or have to act upon - install counter-measures upfront before situations become critical.

Get on the front foot from Data Foundations up to Actions and Insights with Diriger’s Interoperability Platforms, RAID-based Situation Management, and ODBOK’s Data Methodology, and extinguish fires before there’s even a spark. 

In the context of a data foundation, some potential scenarios can curb a burning platform

• A Continuous Improvement Regimen: Put tools in place like a RAID-based Situation Management that provides early attention to Risks, Actions, Issues, and Decisions.

• Safety and Security (Missing Data or Breach): Secure the organisation’s data foundation to prevent human, financial, and reputational damage.

• Identification and Communication: Establish and align the data to clearly communicate the Strategy, Tactics, and Logistics to significant Actors.

• Regulatory Compliance: Consider regulatory changes (such as GDPR, CCPA, or industry-specific) that require stricter data governance and compliance. 

• Efficient Decision-Making: Ensure your data infrastructure does not impede timely and data-driven decision-making processes. 

• Monitor Opportunities: Reduce missed sales or delivery opportunities or inefficient resource allocation; all of which could have been optimised with better data management.

• Operational Efficiencies: Avoid outdated data infrastructure that leads to operational inefficiencies such as manual data entry, duplicated efforts, or disparate data silos.

• Scalability: Build data infrastructure to support the organisation’s growth trajectory, and avoid performance bottlenecks, system crashes, or limitations in handling increasing data volumes. 

• Data Quality and Integrity: Use Governance Methods to remove inconsistencies, inaccuracies, incompleteness, and downstream impacts on business operations and decision-making. 

• Executive Visibility and Accountability: Use Data Analytics at the source instead of from Data Lakes etc to improve visibility into key metrics and challenges.

These scenarios underscore the critical importance of addressing data foundation issues promptly and effectively to treat risks, and operational threats, and seize opportunities in today's data-driven environment.

For more detailed information on avoiding Burning Platforms, Contact Us and read our Thought Leadership Insight