Jinka Field Notes
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Latest
Staffing an AI project: the four perspectives needed.
A successful AI project needs more than technical expertise. It also needs the right mix of people to define the business problem, understand the day-to-day work, test the solution, and judge whether it is creating real value.
Read articleFeatured
From SCADA to insight: how data engineering is changing offshore wind O&M.
How connected operational data helps offshore wind teams move from reactive maintenance toward fleet-wide insight.
Automated field scheduling for wind turbine O&M operations
How we built a single Excel Gantt chart that coordinates vehicles, cranes, and crews across an offshore wind operation.
Building a Data Foundation for a PT Management Company.
How Goodside Health consolidated fragmented operational data into a governed platform for reporting and automation.
All articles
Using AI to code. Why hire developers in 2026?
AI has dramatically lowered the cost of building software, but successful projects still depend on good technical decisions, not just good code.
Build or buy? Choosing the right CRM for your business.
We've had several conversations recently with companies looking to migrate or replace their CRM. The discussion is rarely about features. More often, it's about balancing flexibility, cost, and the way their team works.
The three types of analytics dashboards.
Understanding when to use embedded dashboards, BI platforms, and data platform dashboards based on who needs the data and how they use it.
A practical framework for high-risk AI projects.
AI projects involve more uncertainty than traditional software projects. A phased approach helps reduce risk, validate assumptions early, and avoid investing heavily before there is evidence that a solution will work.
Optimizing data collection for workflow improvement.
Most businesses already have more data than they realize. The challenge usually isn't collecting more information, it's understanding what already exists, where it lives, and whether it can help improve the way a process works.
What is a data pipeline? From ETL to modern data platforms.
How data moves from source systems into a reporting environment, and the decisions that shape how it gets there.
The importance of data quality testing.
Every organization eventually runs into the same problem. A report doesn't look right, and the challenge is figuring out whether the business has changed, the reporting logic is wrong, or the underlying data has a problem.
How Databricks Genie changes data analytics.
Databricks Genie bridges the gap between business questions and technical queries, allowing teams to explore data faster while keeping the governance required for enterprise environments.
Moving Databricks Genie into the engineering workflow.
Ask Genie brings natural language querying into the environment where engineers already build and work, and connects it to the governance layer that decides whether an answer can be trusted.
The keys to successful AI implementation in healthcare.
By 2026, most healthcare organizations have some level of AI exposure. The tooling exists, and in many cases it is already running. The harder question is whether anyone can demonstrate what it is worth.
How do you measure AI ROI in healthcare?
How to design reporting that shows whether an AI implementation is being used and delivering measurable value.
A first for Asia's venture capital community.
Takeaways from the Asia Venture Capital Summit 2026 on cross-border investment, stablecoins, Taiwan’s startup ecosystem, and what VCs are watching.
Building a measurable content workflow for a service business
How to move from ad hoc posts to a repeatable content workflow: technical source material, automated handoff, published assets, and workflow health analytics.
Power BI, MCP, and where AI can really make a difference.
Where structured report data opens up useful AI work, and where it does not.
AI Cost Control in Healthcare Data Analytics
How healthcare teams can make the cost of AI analytics visible and manageable.
What You Can Build On Top Of Prompt EMR
Unified reporting, analytics dashboards, and custom workflows without replacing the underlying system.
Two days at VivaTech 2026: notes from the floor
A field report on where European technology is heading.
ABA compliance and data security on Azure, AWS, GCP, and beyond.
A practical architecture guide for compliant ABA client data and workflows.
Therapy Practice IT: Automating Clinical Workflows at Scale
How connected systems reduce manual clinical documentation work.
Beyond Excel: Building a Real Reporting Stack.
What to put in place when spreadsheets and pivot tables stop holding up.
Automating Invoice Processing With AI.
How AI agents handle invoice intake from extraction and review through finance-system sync.
GDPR Compliance as an Engineering Discipline
A practical guide to compliant data systems without grinding engineering velocity to a halt.
When Fivetran Makes Sense. And When It Does Not.
How to evaluate managed ELT tooling as your data platform grows.
SaaS Is Not Dying. But the Lazy Version of It Is.
What the changing cloud software market means for product builders.
Building an AI Voice Tutor That Actually Teaches
How we built a conversational tutor that remembers progress and adapts.
Running Local AI Coding Models on Your Mac
An experiment in a fully self-hosted coding workflow on Apple Silicon.
From AWS ECS to OVH Kubernetes: A Startup's Migration Story
A practical infrastructure migration walk-through.
The Rise of the Forward-Deployed Engineer
Why embedded senior engineers shorten the path from idea to value.
Design in the Era of Vibe Coding: Why UI/UX Still Matters
Why product design still demands human judgment, empathy, and context.
The Great AI Prototype Trap
Founders can build applications in hours, but speed creates a new set of risks.
Building a Secure, Auditable Cloud Data Lake for Regulated Environments
Architecture for sensitive data is a business and liability decision.
How to Build a Data Strategy That Actually Works
Turn scattered data into structured insight with a strategy that scales.
The CTO’s Dilemma: Full-Time Hires vs. Consultants
A serverless perspective on building flexible technology teams.
AI Automation: How Businesses Can Optimize Workflows and Decision-Making
How companies reduce manual work and make faster, data-driven decisions.
Building Voice AI Applications: Infrastructure and Telephony Considerations
What it takes to deliver fast, natural conversations at scale.
From SCADA to insight: how data engineering is changing offshore wind O&M.
How connected operational data helps offshore wind teams move from reactive maintenance toward fleet-wide insight.
9 min · Read →Staffing an AI project: the four perspectives needed.
A successful AI project needs more than technical expertise. It also needs the right mix of people to define the business problem, understand the day-to-day work, test the solution, and judge whether it is creating real value.
6 min · Read →Using AI to code. Why hire developers in 2026?
AI has dramatically lowered the cost of building software, but successful projects still depend on good technical decisions, not just good code.
6 min · Read →Build or buy? Choosing the right CRM for your business.
We've had several conversations recently with companies looking to migrate or replace their CRM. The discussion is rarely about features. More often, it's about balancing flexibility, cost, and the way their team works.
6 min · Read →The three types of analytics dashboards.
Understanding when to use embedded dashboards, BI platforms, and data platform dashboards based on who needs the data and how they use it.
5 min · Read →A practical framework for high-risk AI projects.
AI projects involve more uncertainty than traditional software projects. A phased approach helps reduce risk, validate assumptions early, and avoid investing heavily before there is evidence that a solution will work.
6 min · Read →Optimizing data collection for workflow improvement.
Most businesses already have more data than they realize. The challenge usually isn't collecting more information, it's understanding what already exists, where it lives, and whether it can help improve the way a process works.
7 min · Read →What is a data pipeline? From ETL to modern data platforms.
How data moves from source systems into a reporting environment, and the decisions that shape how it gets there.
6 min · Read →The importance of data quality testing.
Every organization eventually runs into the same problem. A report doesn't look right, and the challenge is figuring out whether the business has changed, the reporting logic is wrong, or the underlying data has a problem.
5 min · Read →How Databricks Genie changes data analytics.
Databricks Genie bridges the gap between business questions and technical queries, allowing teams to explore data faster while keeping the governance required for enterprise environments.
6 min · Read →Moving Databricks Genie into the engineering workflow.
Ask Genie brings natural language querying into the environment where engineers already build and work, and connects it to the governance layer that decides whether an answer can be trusted.
6 min · Read →The keys to successful AI implementation in healthcare.
By 2026, most healthcare organizations have some level of AI exposure. The tooling exists, and in many cases it is already running. The harder question is whether anyone can demonstrate what it is worth.
6 min · Read →How do you measure AI ROI in healthcare?
How to design reporting that shows whether an AI implementation is being used and delivering measurable value.
6 min · Read →A first for Asia's venture capital community.
Takeaways from the Asia Venture Capital Summit 2026 on cross-border investment, stablecoins, Taiwan’s startup ecosystem, and what VCs are watching.
5 min · Read →Building a measurable content workflow for a service business
How to move from ad hoc posts to a repeatable content workflow: technical source material, automated handoff, published assets, and workflow health analytics.
9 min · Read →Automated field scheduling for wind turbine O&M operations
How we built a single Excel Gantt chart that coordinates vehicles, cranes, and crews across an offshore wind operation.
8 min · Read →Power BI, MCP, and where AI can really make a difference.
Where structured report data opens up useful AI work, and where it does not.
9 min · Read →AI Cost Control in Healthcare Data Analytics
How healthcare teams can make the cost of AI analytics visible and manageable.
8 min · Read →What You Can Build On Top Of Prompt EMR
Unified reporting, analytics dashboards, and custom workflows without replacing the underlying system.
10 min · Read →Two days at VivaTech 2026: notes from the floor
A field report on where European technology is heading.
9 min · Read →ABA compliance and data security on Azure, AWS, GCP, and beyond.
A practical architecture guide for compliant ABA client data and workflows.
12 min · Read →Therapy Practice IT: Automating Clinical Workflows at Scale
How connected systems reduce manual clinical documentation work.
9 min · Read →Beyond Excel: Building a Real Reporting Stack.
What to put in place when spreadsheets and pivot tables stop holding up.
10 min · Read →Automating Invoice Processing With AI.
How AI agents handle invoice intake from extraction and review through finance-system sync.
8 min · Read →GDPR Compliance as an Engineering Discipline
A practical guide to compliant data systems without grinding engineering velocity to a halt.
9 min · Read →When Fivetran Makes Sense. And When It Does Not.
How to evaluate managed ELT tooling as your data platform grows.
8 min · Read →SaaS Is Not Dying. But the Lazy Version of It Is.
What the changing cloud software market means for product builders.
7 min · Read →Building an AI Voice Tutor That Actually Teaches
How we built a conversational tutor that remembers progress and adapts.
11 min · Read →Running Local AI Coding Models on Your Mac
An experiment in a fully self-hosted coding workflow on Apple Silicon.
8 min · Read →From AWS ECS to OVH Kubernetes: A Startup's Migration Story
A practical infrastructure migration walk-through.
10 min · Read →The Rise of the Forward-Deployed Engineer
Why embedded senior engineers shorten the path from idea to value.
6 min · Read →Design in the Era of Vibe Coding: Why UI/UX Still Matters
Why product design still demands human judgment, empathy, and context.
7 min · Read →The Great AI Prototype Trap
Founders can build applications in hours, but speed creates a new set of risks.
8 min · Read →Building a Secure, Auditable Cloud Data Lake for Regulated Environments
Architecture for sensitive data is a business and liability decision.
12 min · Read →How to Build a Data Strategy That Actually Works
Turn scattered data into structured insight with a strategy that scales.
9 min · Read →The CTO’s Dilemma: Full-Time Hires vs. Consultants
A serverless perspective on building flexible technology teams.
7 min · Read →AI Automation: How Businesses Can Optimize Workflows and Decision-Making
How companies reduce manual work and make faster, data-driven decisions.
6 min · Read →Building Voice AI Applications: Infrastructure and Telephony Considerations
What it takes to deliver fast, natural conversations at scale.
9 min · Read →