The A.I. Advantage Show™ Evolvepreneur® AIS002:019 [Blake Burch] AI to Automate Data Workflows
Welcome to the Evolvepreneur A.I. Advantage Show
Join me, Richard Wray, to gain the A.I. Advantage today where we dive deep into the transformative power of A.I. to help fast-track your business.
My very special guest today is Blake Burch ...
Blake Burch, Shipyard CEO, highlights AI's time-saving potential in automating data workflows. Tools like ChatGPT enable non-coders to swiftly specify transformations. He warns against sharing sensitive data and overreliance on AI to maintain human engagement. His advice: divide problems, refine prompts iteratively for effective AI use.
Key Moments:
- Blake discusses how AI can be used to automate data workflows, such as moving data between different systems like CRMs, data warehouses, etc. This can help speed up processes and reduce manual work.
- It's important to provide the minimum viable data needed for a task to prevent data overload. Scoping the problem is key.
- Companies are still figuring out how to effectively apply AI in their day-to-day workflows. Some are exploring using AI to generate SQL queries or transform data.
- Iterating with AI is important - the initial output may not be perfect but can get closer through feedback loops.
- Examples of reducing time needed for tasks through AI include transforming reports or transcribing videos.
- Internal employees can be empowered as "superhumans" by using AI to manipulate data without coding through examples.
- Security and privacy are concerns for sharing real customer data with external AI systems.
- Prompt engineering and structuring problems properly is important for better AI outputs.
- Tools that integrate AI into workflows can be more useful than flashy standalone products.
- Breaking problems into smaller chunks can help work with AI more effectively than large, complex problems.
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