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Articles by Amy Gu
AI Debt: The Hidden Cost Of Unchecked AI Acceleration
Amy Gu, CEO and Cofounder at Dynamsoft. AI is fueling a velocity that development leaders have dreamed of for years. Features, integrations and prototypes that once took weeks now take just hours. But with this giddy pace comes an uncomfortable truth: The faster you can ship with AI, the faster you accumulate a new type of technical debt. It’s hidden from sprint charts and only shows up later as instability, security gaps, compliance exposure and black-box systems.
Making Data Entry Invisible
Despite billions spent on automating workflows, deploying AI and migrating to the cloud, one stubborn bottleneck remains: manual data entry. From warehouse inventory to hospital forms, employees still spend hours entering information manually. While core systems such as ERP, WMS, EHR and CRM are powerful, they often rely on manual entry at the edges-which is where delays and errors creep in. Data capture is too often treated as an afterthought.
Rethinking Inventory: Real-Time Data And Edge Tech In Industry 4.0
Amy Gu, CEO and Cofounder at Dynamsoft. getty Industry 4.0 is not just about automation. It’s about smart systems that sense, adapt, predict and act in real time. One example is inventory control, which was once a centralized back-office function but has now become core to real-time operations.
AI As Your Next CTO? The Future Of Autonomous Software Engineering
Amy Gu, CEO and Cofounder at Dynamsoft. With the near-universal adoption of AI coding tools, are we hurtling toward a future where autonomous coding agents replace developers? As AI evolves from coding assistant to reshaping roles that tech leadership traditionally held, could AI ever function as CTO? What do tech leaders need to consider as the workforce evolves to maximize the gains but retain creativity, innovation and ethical governance?
Unlocking AI’s Potential: The Critical Role Of Precision Data Capture
Amy Gu, CEO and Cofounder at Dynamsoft. The phrase “garbage in, garbage out” is an adage from the early days of computing but should arguably be the mantra for AI today. Errors during data capture are not just carried forward; they are amplified by AI, leading to flawed insights and decisions. AI’s effectiveness depends on the integrity of its data inputs. As the volume of data increases, even small inaccuracies can have exponential impacts.
How Will Draft Merger Guidelines Impact Health Care Markets?
This article is the latest in the Health Affairs Forefront series, Provider Prices in the Commercial Sector, featuring analysis and discussion of physician, hospital, and other health care provider prices in the private-sector markets and their contribution to overall spending therein. Additional articles will be published throughout 2024. Readers are encouraged to review the Call for Submissions for this series. We are grateful to Arnold Ventures for their support of this work.
The Department Of Justice Withdraws 'Outdated' Antitrust Health Care Guidance
This article is the latest in the Health Affairs Forefront series, Provider Prices in the Commercial Sector, featuring analysis and discussion of physician, hospital, and other health care provider prices in the private-sector markets and their contribution to overall spending therein. Additional articles will be published throughout 2023. Readers are encouraged to review the Call for Submissions for this series. We are grateful to Arnold Ventures for their support of this work.
China, meet Robinhood. - Medium
Today, I’m thrilled to share I joined Robinhood’s Board of Advisors with a special focus on expanding the Robinhood platform in China. As you might’ve read earlier today, Robinhood launched in China to make the U.S. market globally accessible through an integration with Baidu’s StockMaster. It’s a huge leap forward for the global economy: the world’s most populous country now has access to the world’s most robust financial system and many of the most admired brands.
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