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Georgia’s AI Lab Cooks Up Tech Ideas in New Test Kitchen

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Georgia Technology Authority (GTA) officials opened the state’s Innovation Lab this week, aiming to provide a space where technology ideas can creatively move from concept to application.

After months of planning, building and collaboration, the lab officially welcomed visitors on Wednesday to the seventh floor of the GTA headquarters. It will serve as a dedicated space — both physical and virtual — where state agencies, cities, counties, and even school systems can test AI use cases in a hands-on, low-risk environment.

“I had the initial idea about a year and a half ago because AI had jumped on the scene so quickly, and because it was here and there was no stopping that train, we had to do something,” said Shawnzia Thomas, CIO and executive director of the GTA.


Thomas likened the lab’s purpose to being in the kitchen and trying out new recipes, emphasizing that, just like baking a cake, one needs to test, tweak and perfect things in a controlled setting before serving them to the public. That recipe metaphor is central to the lab’s mission: bringing technologists, agency leaders and vendor partners together to experiment with new ideas before pushing them out to the public.

It’s a direct response to what Thomas sees as apprehension around AI use — one she believes can be countered through collaboration and transparency.

“Everyone’s afraid of it,” she said. “And to release that fear of it, you have to put your hands on it.”

The lab includes three sandbox environments powered by Amazon Web Services, Azure and Google Cloud, which are already loaded with sample data from 19 vetted technology partners. They are also designed for both training and development, Thomas said.

Curiosity about the lab is spreading well beyond state agencies, too, with cities, universities, the Atlanta airport and public transit officials all looking to explore what the space can offer. Thomas said that due to the high demand before the official opening, they’ve already had to expand.

“We’ve repurposed the space originally allocated for our security operations center, which will be relocated to another floor, allowing the AI lab to occupy the entire seventh floor,” she said.

Chief Digital and AI Officer Nikhil Deshpande explained that the surge in interest reflects not just operational growth but a strategy to position innovation as a driver of public value.

“The Georgia Innovation Lab is not just a space to test new technologies, it’s where we explore their real-world impact, center human needs and build trust through transparency,” he said.

Thomas added that the positive momentum and interest in the new lab are driven by top-level support for innovation in government.

“With Gov. Brian Kemp’s leadership in inaugurating the Georgia Innovation Lab, we’ve taken a bold step toward shaping the future of public service,” she said. “This lab is our proving ground, where imagination meets implementation.”

That commitment to turning ideas into action is reflected in one of the lab’s objectives: supporting proof-of-concept work. If a technology solution shows promise, its journey doesn’t stop there.

“Once we see that concept, proof that this use case works, then the partner and the agency can go out and do their contracting and put that in production,” Thomas said.

But before any solution reaches that stage, the lab requires a critical first step: ethics training. Participants are grounded in the responsible use of AI, which is beneficial as agencies explore how to apply advanced tools to sensitive data and real-world challenges.

As Thomas put it, “you’ve got to bring on the awareness of what not to put in AI.” The lab operates under the guidance of the Georgia AI Advisory Council and follows an “ethical playbook” to make sure legal and societal impacts are fully considered.

Now that the lab is open, a growing list of projects to test is already in the pipeline — from a statewide single sign-on platform called My Georgia to AI-driven defenses against distributed denial-of-service attacks. But Thomas is clear-eyed about the lab’s purpose: not every idea will succeed, and that’s the point.

“This lab is for experimentation. Sometimes it may work, sometimes it may not,” she said. “This is a space where we encourage experimentation and learning from failures.”

The lab is also helping lay the groundwork for other AI-related “quick wins.” Thomas explained that these quick wins may be small in scope, but over time, they can drive meaningful change for both government agencies and the citizens they serve.

“Take chatbots, for example, that have been out there a while. Those have led to larger-scale projects like our AI call center platform with the Department of Human Services that is now in the works,” Thomas said.

That platform will eventually use AI to help train customer service representatives by analyzing past call data and identifying areas for improvement, without requiring human staff to manually review every interaction.

“Traditionally, people have had to spend hours listening to calls, which takes up valuable resources,” Thomas said. “But the question Georgia is now asking with every task is: ‘Can AI do this?’”

Regardless of all this progress, Thomas said the state will continue adhering to the same guiding philosophy: AI should empower people, not replace them.

“Our approach is grounded in augmentation, not replacement. We want to empower our people to do all the work that we don’t need humans to do,” she said. “We want AI to do that to get our humans back to doing the work that humans need to do.”





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AI Doctors won’t replace humans, but this technology will revolutionize healthcare

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The Misconception of the AI Doctor

Is the future of medicine a cold, sterile room with a robot doctor? For decades, science fiction has painted a picture of a world where artificial intelligence, in its ultimate form, would take over the most complex of human professions.

From diagnosing our ailments to prescribing treatments with algorithmic precision, the idea of an all-knowing AI physician has been a staple of futuristic narratives. It’s a compelling, albeit a slightly unsettling, vision.

However, the truth is that this vision, as it has been popularly imagined, is a massive misconception. The real revolution in healthcare is far more subtle, more collaborative, and, frankly, much more beneficial to both patients and providers.

AI is not here to replace the human touch of a healthcare professional. Instead, it is working tirelessly behind the scenes, acting as an invisible and incredibly powerful assistant. The future of medicine isn’t about a robot taking over, but about giving doctors superhuman capabilities. The key to this transformation lies in a new class of technology known as AI agents in healthcare.

These are not independent entities but sophisticated systems designed to support, streamline, and amplify the expertise of human clinicians. They are the digital nervous system of a new era in medicine, and they are here to stay.

The Problem: The Hidden Data Crisis in Healthcare

Before we can fully grasp the power of these AI agents, we must first understand the fundamental problem they are designed to solve. Imagine you’ve had a recurring stomach issue and have seen three different doctors over the last year—a family physician, a gastroenterologist, and an ER doctor.

Each visit resulted in a new set of tests, a different diagnosis, and a fresh stack of paper and digital files. Now, imagine a fourth doctor needs to get a complete picture of your health. They have to chase down records from three separate clinics, manually sift through lab results, and piece together a fragmented story that is, more often than not, incomplete. This isn’t just a frustrating experience; it’s a hidden data crisis that plagues modern healthcare.

This issue stems from the way the healthcare industry has evolved. Each hospital, clinic, lab, and even personal health device has created its own “data silo.” These silos are like isolated islands of information. Patient records, medical images, administrative notes, and billing information are all stored in separate, incompatible systems. This lack of interoperability leads to inefficiencies, delays in care, and, most critically, the potential for diagnostic errors.

A patient’s full story remains a patchwork of disconnected files, making it incredibly difficult for clinicians to get the comprehensive view they need for effective diagnosis and treatment. In this environment, even the most advanced AI would be left blind and unable to provide meaningful insights.

The Solution: The Power of Unified Data Management

This is precisely where the concept of Unified Data Management becomes the most important innovation in modern healthcare. Think of it as the ultimate solution to the data crisis. It’s a strategic approach that consolidates all of a patient’s fragmented information into a single, cohesive, and easily accessible source. It’s not just about gathering data; it’s about a sophisticated process of harmonizing, cleansing, and organizing it.

A robust Unified Data Management system can pull in information from countless sources—electronic health records (EHRs), lab databases, medical imaging systems, genomic sequencing reports, and even real-time data from a patient’s wearable devices.

It eliminates inconsistencies, fills in missing gaps, and standardizes formats to create a single, authoritative source of truth. Without this foundational layer, the promise of AI in medicine is nothing more than a pipe dream. It is the engine that drives intelligent decision-making, ensuring that every AI agent and every human clinician is working from the same, accurate, and complete set of data. This strategic approach provides the bedrock upon which the next generation of healthcare is being built.

The Synergistic Duo: How AI Agents and UDM Work Together

The true power of AI in healthcare is not in a single, autonomous robot, but in the perfect synergy between AI agents in healthcare and Unified Data Management. One is the intelligent processor; the other is the comprehensive brain. An AI agent is only as smart as the data it has access to, and a unified data system is only as valuable as the insights that can be extracted from it. Together, they form a formidable team that is already transforming how medicine is practiced today.

Here are a few examples of how this powerful duo is changing the game:

  1. Predictive Analytics for Early Intervention: With a unified view of a patient’s health, AI agents can continuously monitor data streams from a patient’s lab results, vitals, and genetic markers. They can detect subtle patterns that might indicate the early onset of a chronic disease, flagging it for a human doctor before symptoms even appear. This enables proactive care that saves lives and reduces long-term healthcare costs.
  2. Personalized Medicine at Scale: A unified patient profile—complete with medical history, genetic data, and even lifestyle factors—allows an AI agent to recommend treatment plans tailored to an individual. This moves medicine away from a “one-size-fits-all” model towards highly precise and effective care.
  3. Automating Clinical and Administrative Tasks: AI agents can handle a host of routine but time-consuming tasks. From patient triage and appointment scheduling to processing lab results and medical billing, these agents streamline operations. By freeing up doctors and nurses from administrative burdens, they can dedicate more time and focus to what matters most: patient care.

The seamless integration of AI agents on top of a unified data foundation is the real key to a more efficient, accurate, and patient-centric healthcare system. It’s not a distant future—it’s a present-day reality being implemented in hospitals and clinics worldwide.

The Human Element Remains Central

Despite all the incredible advancements, it is crucial to remember that the human element remains at the very heart of healthcare. AI agents and unified data systems are tools, albeit extremely powerful ones.

They are designed to augment the skills of a doctor, not to replace them. A machine can analyze data, but it cannot offer a comforting hand, show empathy, or build the trust that is fundamental to the doctor-patient relationship.

Clinical judgment, intuition gained from years of experience, and the ability to connect with a patient on a human level are all irreplaceable qualities that AI cannot replicate. The future of medicine is not one where humans are obsolete.

Instead, it is one where the most demanding and complex tasks are assisted by technology, allowing doctors to dedicate their time and talent to the most valuable parts of their profession. By embracing this powerful synergy, the healthcare industry can overcome its biggest challenges, paving the way for a more effective, more personalized, and, most importantly, more compassionate system for everyone.



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SM Entertainment teams up with music tech startup Verses on AI-generated rap music project

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K-pop powerhouse SM Entertainment has partnered with South Korean music technology startup Verses Inc. to develop an artificial intelligence-powered rap generation platform.

The collaboration centers on VersesRappie application, which generates rap lyrics, vocals and accompanying videos using AI. The beta platform was launched in June.

Rappie processes text input to generate lyrics, vocal performances and visual content. Users can choose from virtual stages to match the vibe of the rap song and AI-powered avatars will perform the generated music with syncing facial expressions and body movements.

The platform includes real-time editing features, allowing users to modify elements within the virtual stage.

The technology builds on Verses’ previous work with SM Entertainment‘s girl group aespa in developing metaverse-powered music experiences. That project, which follows the launch of aespa world on Naver Z’s metaverse platform ZEPETO, gained recognition from Google and Nvidia, said Verses.

The partnership with SM Entertainment will produce official song releases featuring composers and an immersive extended reality (XR) concert. SM is home to K-pop acts like aespa, RIIZE, NCT 127 and NCT DREAM.

For SM, the partnership with Verses comes amid its continued investment in tech-driven content creation. The company has previously experimented with virtual concerts and digital avatars for its artists. Last year, SM partnered with South Korean mobile network operator LG Uplus to develop AI-powered content for its first virtual artist, Naevis.

Naevis first appeared in aespa’s video My, Karina in 2021 as part of their fictional sci-fi inspired universe. In aespa’s lore, Naevis is a force that helps the members navigate between the real world and the digital dimension known as KWANGYA.

In 2022, SM and its metaverse content production house Studio KWANGYA formed a joint venture with Los Angeles-based virtual reality concert platform AmazeVR to produce immersive virtual reality (VR) concerts for the metaverse.

Meanwhile, in July, A2O Entertainment, the record label founded by SM Entertainment founder Lee Soo-man, disclosed plans to launch an AI-powered chatbot in August that enables conversations between fans and A20 artists.


In the second quarter of 2025, SM reported a 19.3% YoY jump in consolidated revenue to 302.9 billion South Korean won (approx. USD $218 million), driven by surging album sales and strong merchandise performance.

Music Business Worldwide



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Workers don’t mind AI tools – they just wish they’d shut up once in a while

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  • Around half of workers are begging for distraction-free focus time
  • Many workers feel pressure to be responsive to messages all the time
  • Companies could help by introducing formally scheduled down time

With AI tools now boosting productivity in workforces across the globe, workers are now hoping to afford more quiet time to focus on meaningful and creative tasks.

New data from Twilio found nearly half (47%) prioritize distraction-free focus time, and one in three (36%) even want employers to formally schedule it.



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