12/5/24
Jordan Harper
AI at Work: Transforming Business Operations.
Delivering Tailored Tech Solutions That Transform Processes, Boost Efficiency, and Accelerate Business Growth.
Artificial intelligence has transitioned from research labs to production environments across industries with remarkable speed. Machine learning models now power everything from fraud detection to demand forecasting to customer service interactions. Global Stories Enterprises helps organizations navigate the AI landscape strategically, identifying high-value use cases and building the capabilities needed for successful implementation.
The AI opportunity varies significantly by industry and organizational context. What works brilliantly for one company may be impractical or unnecessary for another. Our consultants bring cross-industry experience that helps identify the most promising applications while avoiding common pitfalls. We focus on practical outcomes rather than pursuing AI for its own sake.
Data readiness typically determines AI project success more than algorithm sophistication. Models require clean, properly labeled training data in sufficient quantities. Many organizations discover that their data assets need significant preparation before AI initiatives can proceed. We help assess data readiness and develop remediation strategies that address gaps efficiently.
The build versus buy decision for AI capabilities has no universal answer. Pre-built AI services from major cloud providers offer quick time to value for common use cases. Custom models provide competitive differentiation but require substantial investment in talent and infrastructure. We guide organizations through these tradeoffs based on their specific circumstances and strategic priorities.
Responsible AI practices have become essential as the technology's influence expands. Bias in training data can produce discriminatory outcomes. Lack of transparency makes it difficult to explain decisions to customers or regulators. Privacy concerns arise when models process personal information. Our approach to AI includes governance frameworks that address these critical considerations.
"Technology is best when it brings people together." – Matt Mullenweg
Generative AI represents the latest wave of capability expansion. Large language models can draft content, summarize documents, answer questions, and assist with coding. Image generation creates visual assets on demand. These tools are transforming knowledge work in ways that are still being understood. We help organizations adopt generative AI thoughtfully and productively.
Integrating AI capabilities into existing business processes requires careful change management. Employees may fear replacement or struggle to trust algorithmic recommendations. Building confidence through transparency, training, and measured rollouts helps ensure that AI augments human capabilities rather than creating resistance. Our implementation approach addresses these adoption challenges directly.
The talent landscape for AI remains highly competitive. Building internal data science teams requires significant investment and ongoing effort to retain skilled professionals. Alternatively, organizations can leverage external expertise while developing foundational capabilities over time. We help define talent strategies that balance immediate needs with long-term capacity building.
Model operations and lifecycle management often receive less attention than initial model development. Yet production AI systems require ongoing monitoring, retraining, and version management to maintain performance as conditions change. We help establish MLOps practices that ensure AI investments continue delivering value over time rather than degrading silently.
The pace of AI advancement shows no signs of slowing. Organizations that establish strong foundations for AI adoption today will be better positioned to incorporate future capabilities as they emerge. Our partnership approach ensures clients stay current with developments and can evaluate new technologies with clear frameworks for assessing business value and implementation readiness.
