Dipal Patel

Analyzes how GenAI accelerates requirement artifacts but often fails to prove ROI due to measurement gaps, silent misalignment, and governance issues; recommends designing measurement strategies before accelerating with GenAI.

A synthesis of AI research milestones (from transformers to modern LLMs) and practical guidance on translating research into measurable enterprise AI outcomes and ROI.

Discusses common failure modes for AI pilots in mid-market organizations and recommends production-first approaches, executive alignment, data readiness, and pragmatic delivery patterns to get pilots into production and deliver measurable KPIs.

Explores GPT-4 use cases in healthcare EHRs, including documentation automation, clinical decision support, claims analysis, risk stratification, and prior authorization, along with challenges around integration, accuracy, and interpretability.

Discusses the traveler's lifecycle phases and digital touchpoints where mobility apps and integrated experiences can add value across inspiration, booking, pre-travel planning, during journey, and post-travel.