Tarapong SreenuchGradient Descent: The Art of Controlled Chaos in Machine LearningIn machine learning, we often refer to models like neural networks as if they inherently “learn.” Yet, the true learning happens within the…Oct 29Oct 29
Tarapong SreenuchBeyond OKRs: Reimagining Productivity for Stakeholders, Not Just ShareholdersIntroduction: The OKR DilemmaOct 20Oct 20
Tarapong SreenuchHas AI Made Us More Productive — or Less Thoughtful?Introduction: The Trade-off of Speed vs. Depth in the Age of AIOct 181Oct 181
Tarapong SreenuchAI Agents in SaaS: Driving Creativity and Operational EfficiencyIntroduction: The Rise of AI Agents in SaaSOct 18Oct 18
Tarapong SreenuchRethinking Graph Analytics: A Dynamic Approach to Anti-Money LaunderingIntroduction: The Limits of Static Persistence in a Dynamic WorldOct 7Oct 7
Tarapong SreenuchEnsuring Quality in Data Migration: QA Techniques and Quality GatesData migration, transferring data between various storage types, formats, or application systems, is pivotal to business expansion and…Oct 3Oct 3
Tarapong SreenuchEmulating ChatGPT-o1’s Reasoning Capabilities: Reflexion, Agent Tree Search, and LangGraphIntroduction: What Makes ChatGPT-o1 Stand Out?Oct 2Oct 2
Tarapong SreenuchThe Role of AI in Reducing Greenwashing in ESG InvestmentsIntroduction: The Growing Importance of ESG and the Risk of GreenwashingOct 2Oct 2
Tarapong SreenuchNavigating AI in ESG: The Promise and Pitfalls of Risk ManagementIntroductionOct 2Oct 2
