Welcome to AllAboutAI.com, where we dive deep into the latest innovations in artificial intelligence. Today, we bring an exclusive interview with Michael Jung, the CFO and Head of Global Business Development at DeepBrain AI. Known for its advanced generative AI technology, DeepBrain is pushing boundaries with AI avatars and deepfake detection systems, transforming industries from banking to retail.
In this conversation, Michael shares his journey with DeepBrain, discusses the company’s unique technology, and provides insights into the future of AI-driven customer service. This interview explores the transformative potential of AI avatars, the value of secure, compliant AI solutions, and DeepBrain’s approach to balancing innovation with ethics.
Inside DeepBrain AI: An Interview with CFO Michael Jung
In this in-depth interview, we sit with Michael Jung, the CFO and Head of Global Business Development at DeepBrain AI, to explore the company’s groundbreaking work in generative AI and digital avatars. Michael shares insights into how DeepBrain AI is leveraging advanced AI technologies to create realistic, responsive avatars that revolutionize customer interactions across industries.
From pioneering deepfake detection systems to integrating large language models in customer service applications, DeepBrain AI is setting new standards for applying AI responsibly and effectively. Michael discusses the challenges, vision, and ethical considerations that drive the company’s innovations.
Read on to discover how DeepBrain AI is positioning itself at the forefront of the generative AI landscape and Michael’s insights into the future of AI-powered customer experiences.
What is DeepBrain AI?
DeepBrain AI is a cutting-edge generative AI company specialising in creating realistic AI avatars and advanced deepfake detection systems. Its innovative solutions transform customer experiences across banking, retail, and public service industries.
By integrating technologies such as large language models and AI-driven conversational systems, DeepBrain AI provides human-like interactions that are scalable, efficient, and secure.
The company’s offerings include AI-powered bank tellers, retail assistants, and more, all designed to enhance customer engagement while addressing ethical concerns like misinformation and misuse through proactive safeguards.
Who is Michael Jung?
Michael Jung is the CFO and Head of Global Business Development at DeepBrain AI, a pioneering company specializing in generative AI technologies and AI avatars. With a career spanning roles at global firms like Deloitte, SK, and LG Serveone, Michael brings a wealth of experience in financial strategy, business development, and entrepreneurial ventures.
In addition to leading business operations at DeepBrain AI, Michael has a rich history of orchestrating growth strategies, including mergers and acquisitions (M&A), financial projections, and investor relations. His entrepreneurial journey includes founding Michael Partners, where he launched successful ventures like the mobile case brand “FPW” and managed premium brands like Efva Attling in Korea.
A University of California, San Diego graduate, Michael is now based in Palo Alto, California. His leadership at DeepBrain AI focuses on scaling innovative AI solutions globally while addressing ethical challenges like deepfake detection. Michael’s vision is clear: transforming customer experiences across industries with cutting-edge AI technology.
What inspired you to join DeepBrain AI, and how does your background shape your role in scaling its global operations?
Michael Jung: I joined DeepBrain AI because I genuinely believe in the potential of our AI avatar technology to become a cornerstone of future communication. Whether in Korea or the United States, I see a significant communication gap that generative AI avatars can bridge.
I envision a world where AI avatars serve as interactive guides in gas stations, grocery stores, or training environments. This inspired me to become part of DeepBrain AI’s journey.
Coming from a business and finance background, my role focuses on scaling our operations globally. My financial strategy is to make these AI solutions accessible, scalable, and aligned with market needs. At DeepBrain AI, we aim to create avatars and generative technology available across sectors, helping people connect, engage, and learn in ways they never could before.
DeepBrain AI’s venture into deepfake detection is timely. What motivated this direction, and how do you foresee its broader industry impact?
Michael Jung: Our deepfake detection technology emerged as a response to the rapidly evolving capabilities of AI, especially in areas like AI video. The ability to create videos without filming real people is revolutionary, but it also has risks.
For instance, someone could misuse this technology by creating a video of someone saying things they never actually said. Recognizing this, we built a detection system to help users quickly identify generative AI content, ensuring they know it’s not from a live person.
Our deepfake detection technology goes beyond standard face-swapping or deepfake prevention; it’s a proactive way to protect identities, particularly for public figures and artists.
We want to ensure that people in high-visibility roles are shielded from misusing their likenesses. This technology has applications beyond law enforcement and could be crucial in safeguarding media, entertainment, and public trust.
How are AI-powered avatars, such as intelligent bank tellers, transforming customer service, and what challenges did you face during implementation?
Michael Jung: AI avatars are reshaping customer service by integrating into systems like chatbots and large language models (LLMs). As lifestyles change, particularly in banking, fewer people physically visit bank branches.
However, customers still need a personal touch, which AI avatars can provide. The challenge lies in creating avatars that feel human, responsive, and comfortable for customers.
For instance, we piloted AI bankers in collaboration with our clients and surveyed users to gauge their experiences. Feedback was overwhelmingly positive, with over 80% finding the experience comparable to interacting with a real person. This adoption has helped banks optimize operational costs while ensuring customers feel assisted and valued.
Regarding scaling, our AI banker project has shown that a digital transformation approach to customer service can work without compromising user satisfaction.
With AI hallucinations and misinformation being concerns, how does DeepBrain AI handle these challenges to ensure accurate information in AI-generated avatars?
Michael Jung: Our role focuses on ensuring low latency and fast synthesis rather than handling the LLM side that generates responses. The responsibility for mitigating hallucinations and misinformation rests with the LLM or chatbot integrated with our avatars. Many clients now use Retrieval Augmented Generation (RAG) models to verify data before it’s embedded into LLMs.
We support our clients by ensuring that data verification occurs before the LLM goes live. This helps minimize the risk of misleading information, as the LLM’s responses are pre-verified. Our focus remains on providing avatars that sync flawlessly with audio, making for a smooth, reliable conversational experience.
Given the impact of AI avatars in banking, do you think AI will replace more human jobs across industries like customer service and public services?
Michael Jung: Rather than replacing human jobs, I see AI avatars as a way to supplement and enhance customer service. Many industries face labour shortages, and AI avatars can fill that gap, providing human-like interaction where live agents may not be available. We see AI avatars as assistants who support customers, especially in sectors with limited staffing resources.
The demand for AI avatar solutions has been growing across various industries. Our avatars have transitioned from banking to retail, airports, and shopping malls. We’re not aiming to replace people but to make these services more accessible, friendly, and consistent.
As AI technology advances, we’ll see avatars in many more customer service roles, enhancing human interaction rather than replacing it.
What steps does DeepBrain AI take to ensure its LLMs are trained on high-quality, unbiased data?
Michael Jung: Our LLM approach focuses on embedding verified data and advancing RAG models. Clients rely on these models to control biases and misinformation, which is particularly important when they deploy the model to support conversational AI. We also prioritize extensive quality assurance (QA) before any model goes live, ensuring its responses meet a high standard of accuracy.
Additionally, we have solutions that allow clients to embed structured or unstructured data and verify it thoroughly before it integrates with an LLM. This preparation is critical for maintaining trust and delivering accurate information, especially as AI avatars become more integrated into everyday services.
With AI becoming increasingly prevalent, do you think regulations will be necessary to prevent misuse, particularly in areas like deepfake technology?
Michael Jung: Yes, I think regulation is crucial, especially with the rise of technologies like face-swapping and other deepfake tools. AI avatars may not be the main concern in conversational solutions, but face-swapping and video manipulation can have significant ethical implications. At DeepBrain AI, we take proactive steps to ensure security by marking our AI content so users know when interacting with a generative AI avatar.
For example, we place a “sticker mark” on our AI avatars, clearly indicating when content is AI-generated. This approach builds transparency and trust, as people can distinguish between AI and real content, helping prevent confusion and potential misuse.
How does DeepBrain AI plan to expand into new industries beyond banking and public service?
Michael Jung: Expansion at DeepBrain AI is driven by industry demand and customer satisfaction. For instance, we began with AI bankers, but as our clients saw positive outcomes, they wanted to expand avatars to other settings. Now, our avatars are present in airports, shopping malls, and retail stores. The more industries see the benefits, the more they’re inspired to adopt AI avatars for customer engagement.
We aim to make AI avatars a standard across various sectors, from retail to hospitality. We strive to help companies improve customer experiences through AI-driven solutions that engage people across diverse touchpoints.
What are the primary concerns you encounter from clients about AI adoption, and how does DeepBrain AI address these?
Michael Jung: One primary concern is ROI, as clients want to ensure AI investment will be worthwhile. Many companies have used basic intent-based chatbots and found them inadequate, as they can’t handle complex queries. In contrast, LLM-powered avatars are versatile, responsive, and scalable, making them a valuable alternative.
We advise potential clients to consider integrating generative AI models that allow them to scale conversational solutions, helping them engage users without overwhelming human support channels. We’ve seen that when clients recognize the value, they are more willing to explore generative AI as a foundational part of their customer service strategy.
How have partnerships with companies like Lenovo, Intel, AWS, and NVIDIA contributed to DeepBrain AI’s growth?
Michael Jung: Strategic partnerships are essential to our scalability and speed. Companies like Lenovo, Intel, AWS, Microsoft, and NVIDIA have been invaluable in helping us reach a global audience. Through these partnerships, we can deliver our AI avatar and deepfake detection solutions to their customer base, broadening our impact.
The AI landscape is vast, and collaborating with industry leaders enables us to bring our solutions to more end-users. Partnerships are instrumental in sharing insights, innovations, and cutting-edge technology with a global community.
What advice would you give entrepreneurs interested in entering the AI space, particularly in generative AI?
Michael Jung: Looking back at past technology waves, from the dot-com boom to smartphone apps, every era presented opportunities. Today, generative AI is the next wave. Entrepreneurs must focus on finding what’s missing and innovating around generative AI solutions. For example, Uber and DoorDash created new avenues within mobile app technology. Similarly, generative AI has ample room to explore what other solutions can enhance daily life.
My advice is to look for gaps, think long-term, and understand the value of technology. Generative AI has the potential to shape industries and daily life, so the opportunities are immense for those willing to innovate.
For individuals starting a career in AI, what essential skills are necessary to succeed in this rapidly evolving industry?
Michael Jung: In AI, it’s essential to understand problem-solving from a solutions-focused mindset. Even outside AI, aspiring entrepreneurs or AI professionals should concentrate on identifying the challenges their solutions will address.
Research and learning are crucial; you must know the landscape well enough to make informed decisions and act. I recommend staying committed, studying the industry intensely, and developing actionable skills to bring ideas to life.
Looking ahead, where do you envision DeepBrain AI in the next decade?
Michael Jung: My vision is to see AI avatars everywhere, from stores to public spaces, where they can engage people meaningfully and enhance everyday interactions. I want our customers to feel satisfied and empowered by our solutions, and I want everyday people to enjoy the experience of interacting with AI naturally.
This vision motivates me to work hard, innovate, and push the boundaries of what’s possible with AI avatars. I believe DeepBrain AI is on a path to making these avatars a common, beneficial part of daily life across numerous industries.
What would you like to say to businesses considering DeepBrain AI’s generative solutions for their operations? What benefits can they expect regarding efficiency, cost savings, and customer engagement?
Michael Jung: To businesses considering our AI solutions, I’d say the future is closer than you might think. Generative AI is not just a distant concept; it’s a reality that can be integrated into your business today to deliver incredible results.
I encourage companies to take that first step, have a conversation with us, and learn about the advantages our solutions can offer. A simple meeting can reveal new ways to boost efficiency, reduce costs, and improve customer satisfaction. It’s a transformative investment that I believe will continue paying dividends as AI technology advances.
Close-Ended Product-Specific Questions:
Does DeepBrain AI’s custom avatar feature offer real-time content generation for customer interactions? Yes.
Can DeepBrain AI’s avatars be customized for banking, healthcare, or retail industries? Yes.
Is DeepBrain AI’s deepfake detection system scalable to handle large-scale applications for public safety organizations? Yes.
Does DeepBrain AI seamlessly integrate with existing customer service platforms like chatbots or CRM tools? Yes.
Is DeepBrain AI compliant with global data protection standards, ensuring secure handling of sensitive customer data? Yes.
Does DeepBrain AI provide 24/7 customer support for businesses using its AI avatars? Yes.
Key Takeaways from Our Conversation with Michael Jung
Michael Jung’s insights into DeepBrain AI’s mission and technology reveal a future where AI avatars enhance and transform customer interactions across industries. From pioneering deepfake detection systems to creating human-like AI avatars for banking and retail, DeepBrain AI is setting new standards in generative AI.
By prioritizing data security, addressing ethical concerns, and maintaining high standards in AI training, DeepBrain AI shows how innovation can be responsibly scaled.
Michael’s vision for a future where AI avatars are part of everyday life underscores the potential of AI to improve communication and streamline services. For businesses, adopting DeepBrain AI’s solutions means staying ahead of the curve in customer engagement, operational efficiency, and digital transformation.
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