Tools & Platforms

Can Generative AI transform healthcare?

Published

3 days ago

September 11, 2025

Generative AI may be the fastest-adopted technology in history, but in healthcare it is still largely seen through the narrow lens of chatbots. That perception, argued experts at WHX Tech-EHS Summit in Dubai during a panel discussion, risks blinding policymakers and providers to its deeper potential, and to the barriers that stand in its way.

“It’s like saying the internet is only e-mail,” said Christian Hein, former Novartis vice-president for digital transformation. “Chatbots are just the front-end. The real power lies in what sits beneath, which is an information engine capable of synthesising scientific literature, drafting clinical trial protocols, automating reimbursement coding and extracting unstructured data from medical records.”

The discussion, moderated by health AI consultant Sigrid Berge van Rooijen, opened with a question: Is generative AI destined to remain a glorified customer-service tool?

For Tatyana Kanzaveli, founder of Open Health Network, the danger lies in merely bolting new technologies onto outdated systems. “We cannot just deploy GenAI to augment old business processes,” she said. “Imagine agentive AI predicting when MRI equipment is about to fail, ordering the part, scheduling the engineer and coordinating the fix automatically. Or a digital twin monitoring your health data, arranging prescriptions, transport and care without you lifting a finger. That is the world we should be building.”

Bharat Gera, who has spent 25 years working on digital health transformation, echoed the need for caution but also saw promise in simple tools such as summarisation. “Doctors spend huge amounts of time reading patient histories. Summarisation is a powerful use case, here and now,” he said. But he warned against overloading clinicians with alarms and unvalidated signals: “Healthcare is fundamentally human. If we forget that, technology will make things worse.”

Regulation, risk and responsibility

If technology is racing ahead, regulation is struggling to keep pace. Amil Khanzada, CEO of Virufy, highlighted how laws differ dramatically across jurisdictions. “In Dubai, anonymised medical data cannot be sent overseas. In Pakistan, there isn’t even a privacy law yet. Patients have the right to delete their data, but what happens once that data has already trained a model? Do you retrain it from scratch?”

Consent forms, he added, are another minefield. “You can try to use generative AI to summarise them, but you still need human validation. And patients often sign without reading. The legal and ethical risks are enormous.”

Kanzaveli pointed to the dangers of misplaced trust. “Generative AI is persuasive. You trust it. But in healthcare, a wrong answer can mean a missed diagnosis, or worse. We spent longer building the risk-management framework for a virtual psychologist than we did building the engine itself. That is our responsibility.”

The human factor

Perhaps the most sobering intervention came from Anne Forsyth, Vice-Chair of Digital Health Canada and IT lead at Toronto’s Women’s College Hospital. She recounted how a cancer diagnosis was delayed for a year because test results were stuck in a hospital IT interface. “What do you tell the patient? Tech will never be perfect. We must always plan for failure,” she said. “If you are building GenAI tools for hospitals, think about what happens when they fail, and what supports clinicians will have.”

Hein agreed. “Technology is easy. Change is the hard part. The real work is persuading people that you are there to augment, not replace them. Without that, AI will never scale.”

A future too important to ignore

Despite their differing emphases, the panellists agreed that generative AI is already reshaping healthcare and that ignoring it is not an option. “There is no industry that can remain competitive without deploying these technologies,” Kanzaveli said. “The only question is how responsibly we do it.”

As Berge van Rooijen concluded, the challenge is not whether generative AI is more than a chatbot. It clearly is. The question is how to harness its promise without repeating the mistakes of past digital health revolutions, and without losing sight of the people at the heart of the system.

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Tools & Platforms

AI Promptly Hired Announces Revolutionary AI Staffing Model

Published

1 hour ago

September 14, 2025

The Editors

AI Promptly Hired unveils a subscription-based model that delivers top AI and machine learning talent to businesses in 72 hours or less.

United States, September 14, 2025 — Transforming Staffing for the AI Era

Ava C. Ivy, the founder and CEO of AI Promptly Hired, has turned decades of leadership experience into a disruptive force in the world of staffing. With more than 30 years in human resources, including distinguished service in the U.S. military, Ivy’s journey to entrepreneurship was driven by a vision to bridge the talent gap in the rapidly evolving field of artificial intelligence (AI) and machine learning (ML). By launching AI Promptly Hired, Ivy is challenging traditional recruitment practices and positioning her company at the intersection of human potential and cutting-edge technology.

The Shift to AI: Why Speed and Precision Matter

AI Promptly Hired operates on a subscription-based model that offers businesses, startups, and scaling companies access to top-tier AI and machine learning professionals in as little as 72 hours. This approach stands in stark contrast to traditional staffing models, where roles can take weeks or even months to fill. Ivy’s company is dedicated to speed, precision, and flexibility, ensuring that clients do not miss out on the opportunity to leverage highly qualified talent at the right moment.

“We’re not just offering staffing solutions—we’re empowering companies to innovate and scale faster,” said Ivy. “The future of work won’t wait, and neither should the companies trying to build it.”

A Vision Rooted in Leadership and Resilience

Ivy’s transition from military leadership to entrepreneurship wasn’t simply a career shift; it was a testament to her ability to adapt and innovate. After years of strategic leadership in the military and corporate sectors, she pivoted to founding AI Promptly Hired, bringing together her expertise in human resources with her forward-thinking vision for the future of AI.

“I’ve lived transformation—military service, corporate leadership, entrepreneurship. Reinvention isn’t just my story; it’s the foundation of my business,” she shared. Ivy’s background in human resources allows her to not only understand hiring but also to grasp the human element behind the technology that is transforming industries.

A Movement, Not Just a Staffing Firm

AI Promptly Hired’s business model is revolutionary. By focusing on high-demand AI and machine learning professionals, Ivy has positioned her firm to meet the technological needs of today’s businesses without the long waiting periods and inflated recruiting costs associated with traditional firms.

“Most firms take weeks or months to fill critical AI roles. At AI Promptly Hired, we do it in 72 hours or less,” said Ivy. With AI Promptly Hired’s agile model, organizations can swiftly secure the talent necessary to stay ahead of the competition in a tech-driven world.

A Published Author with a Vision for the Future

In addition to her leadership in staffing, Ivy is also an author. Her books, The AI Gold Rush: How Regular People Are Building Million-Dollar Apps in Their Pajamas and The Last Job on Earth (a speculative thriller about society’s uneasy surrender to artificial intelligence), highlight her deep engagement with the possibilities and challenges of an AI-powered future.

“I didn’t just start a staffing company—I built a bridge between human potential and the future of artificial intelligence,” Ivy explained. Her thought leadership extends beyond her company, aiming to inspire and challenge audiences to think critically about the changing nature of work and the role of AI in that transformation.

Recent Award Recognition: Best Veteran-Led Staffing Company of 2025

AI Promptly Hired has recently earned the prestigious recognition as the Best Veteran-Led Staffing Company in the U.S. of 2025. Awarded by Best of Best Review, this accolade underscores the company’s innovative approach, leadership, and unwavering commitment to providing top-tier AI/ML talent at unprecedented speeds.

Under Ava C. Ivy’s leadership, AI Promptly Hired has revolutionized the staffing industry by leveraging military discipline alongside cutting-edge technology. This distinction highlights the company’s unique ability to meet the rapidly growing demand for AI and machine learning professionals in record time—further establishing its role as a leader in the staffing sector.

Looking Toward the Future of Work

With AI Promptly Hired, Ivy is actively shaping the future of staffing, focusing on both client and talent needs. By offering fast, flexible, and affordable access to top talent, the company is transforming how businesses approach AI and machine learning recruitment. Ivy’s commitment to bridging human potential and AI-driven innovation ensures that companies will be better positioned to navigate an increasingly digital world.

About AI Promptly Hired LLC

AI Promptly Hired is a woman veteran-led staffing firm founded by Ava C. Ivy. The company’s subscription-based model matches companies with top-tier AI and machine learning talent in 72 hours or less, offering speed and precision that traditional recruiting methods cannot match. By focusing on high-demand roles in artificial intelligence and machine learning, AI Promptly Hired helps businesses scale faster and smarter. Ava Ivy, with over 30 years of experience in human resources and military leadership, has built the company on a foundation of trust, agility, and a vision for the future of work.

Media Contact:

Ava C. Ivy
Founder & CEO, AI Promptly Hired LLC
Email: info@aipromptlyhired.com
Website: AI Promptly Hired LLC
Facebook: AI Promptly Hired
Instagram: @aipromptlyhiredllc
LinkedIn: AI Promptly Hired on LinkedIn

Contact Info:
Name: Ava C. Ivy
Email: Send Email
Organization: AI Promptly Hired LLC
Website: https://aipromptlyhired.com/

Release ID: 89169702

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Tools & Platforms

12 News – YouTube

Published

1 hour ago

September 14, 2025

The Editors

Tools & Platforms

Global AI Infrastructure Future: Efficiency, Orchestration, and Abstraction — Why CB Insights Sees Korean Startups Leading the Charge – KoreaTechDesk

Published

2 hours ago

September 14, 2025

Dae-jung Park

Global recognition of Korean AI startups is far more than just prestige. The recognition signals the country’s growing foothold in the infrastructure behind next-generation AI agents. When CB Insights highlighted Dnotitia, VESSL AI, and Upstage among 135 promising global companies, the venture capital database validated Korea’s potential to shape critical technologies in an industry dominated by hyperscalers. And it also carries ecosystem-level significance for global investors, innovators, and even policymakers.

CB Insights Highlights Korean AI Startups in Global Report: Dnotitia, VESSL AI, and Upstage

On September 12, industry sources confirmed that CB Insights, a leading global market intelligence firm, selected 135 private AI companies worldwide for their technological competitiveness and growth potential.

From Korea, Dnotitia, VESSL AI, and Upstage were included in the report, Promising Companies Building the AI Agent Technology Stack. The evaluation combined quantitative indicators and the firm’s proprietary Mosaic Score, which assesses financial health, product innovation, market response, and fundraising activity.

The AI Agent Technology Stack and Global Context from CB Insights

CB Insights grouped companies according to the “AI Agent Technology Stack,” identifying core infrastructure and data technologies essential for scaling AI agents.

Upstage was recognized in the LLM Data Preparation Platform field within the “Context” category. This area focuses on enabling AI agents to maintain, search, and utilize structured data and embeddings.
Dnotitia was selected in the Vector Database field, which underpins semantic search — a core requirement for AI agents to understand user intent and respond with contextual accuracy.
VESSL AI was named in the Model Deployment and Serving field of “AI Foundation Models and Infrastructure,” covering the computing, hosting, and inference systems required to operationalize large language models (LLMs).

CB Insights also projected that the future of AI infrastructure will hinge on efficient computing, intelligent orchestration, and developer-friendly abstraction. Platforms integrating these features are expected to build differentiated competitiveness against hyperscaler-dominated market structures.

How Korean Startups Are Positioned in the AI Agent Stack

While the CB Insights report itself did not include direct commentary from the companies, industry coverage emphasized each startup’s positioning:

Upstage has been the only startup included in the Korean government’s “Independent AI Foundation Model” project, strengthening its reputation as a critical contributor to national AI strategy. The company also secured a 62 billion KRW (approx. USD 45 million) Series B round with participation from Amazon and AMD, reinforcing its global expansion capability.
Dnotitia earned recognition for delivering competitive solutions in search precision and scalability within vector databases, a space considered essential for enterprise-grade AI agent deployment.
VESSL AI was mentioned alongside U.S.-based Databricks and Modal as a global peer in model deployment, signaling that Korean players are beginning to compete in the same arena as well-established international platforms.

Implications for Korea’s Startup Ecosystem and Global Expansion

Now, this prominent recognition carries layers of significance for the startup ecosystem in South Korea:

Validation of Global Competitiveness

Being listed by CB Insights places Korean startups in direct comparison with leading global peers, an important step for international credibility.

Strategic Positioning in AI Infrastructure

The companies represent distinct layers of the AI agent stack: data preparation (Upstage), semantic retrieval (Dnotitia), and deployment infrastructure (VESSL AI). This diversity reflects ecosystem maturity, not just isolated success.

Alignment with Policy Priorities

Korea has been advancing programs to reduce reliance on foreign AI models and infrastructure. Upstage’s inclusion in the government’s independent foundation model project exemplifies how startups are bridging national policy and global competition.

Implications for Cross-Border Investors

For venture capitalists and corporates tracking AI infrastructure startups, the report provides signal clarity: Korea is not merely adopting AI but actively building the stack that powers AI agents.

Strategic Outlook for Korea in the Global AI Infrastructure Race

Finally, the inclusion of Dnotitia, VESSL AI, and Upstage in CB Insights’ global report also becomes a marker of Korea’s growing relevance in the AI infrastructure race.

As hyperscalers continue to dominate global markets, Korea’s startups are carving niches in precision databases, scalable deployment, and data preparation platforms. For global founders, investors, and policymakers, this signals a window of opportunity: Korea is positioning itself not only as a fast adopter of AI but as a builder of critical technologies shaping the future of AI agents worldwide.

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