Ishneet Dua, a Generative AI Specialist at Amazon Web Services (AWS), helps businesses use generative AI and agentic AI at scale across various industries like software systems, marketing, gaming, advertising, and retail. She works with companies to design cloud-based AI systems that are reliable, fast, and cost-effective, making sure they can handle growth smoothly. She helps AWS customers scale by understanding their business goals and challenges, and helps them design their applications in a cloud-native manner to ensure resiliency, performance and scalability. As a thought leader, Ishneet regularly speaks at globally renowned tech and industry events. Her sessions cover content that helps customers architect their generative AI pipelines for sustainability, cost and scale keeping in mind the business goals.
At major conferences such as AWS re:Invent, re:Mars, AWS Community Days and CloudX, her sessions have spotlighted:
- Real-world strategies for building agentic AI workflows—where autonomous AI agents plan, create, and optimize digital experiences.
- Techniques for integrating GenAI into production applications, with an emphasis on text-to-image models and complex prompting pipelines.
- Case studies that demonstrate business value from prompt adherence (ensuring the AI-generated content reflects user intention) and content augmentation (using GenAI to enhance and personalize assets in real time).
“It’s incredible to help businesses transform through agentic AI and cloud computing,” Ishneet says. “What makes it truly rewarding is guiding them to implement these powerful technologies effectively and responsibly.”
Leveraging Generative AI for Customer-Centric Content: Insights from Ishneet Dua
To stay competitive in the current landscape, marketing and advertising, retail, media and entertainment enterprises need to stay up to date with recent technological developments. Gen AI has emerged as a game-changer, providing key opportunities for creative professionals to push boundaries and unlock new realms of possibility.
For the marketing and advertising industry , Ishneet writes about how major brands can unlock new creative potential with advanced text-to-image foundational models. Through precise prompt engineering and augmentation with language models, she shows us how marketing teams can generate campaign visuals that align with brand guidelines and customer segments. Marketers can now rapidly iterate on ideas for digital ads and product imagery while keeping content on-brand, high on visual fidelity and relevant. Her blog, “Unleashing Stability AI’s most advanced text-to-image models for media, marketing and advertising: Revolutionizing creative workflows,” provides more information on this project and also code in a notebook environment using AWS.
Within the gaming sector, Ishneet explores how generative AI is used to create dynamic, personalized in-game assets and environments that respond to individual player choices. She describes tools for prompt augmentation, which give game designers enhanced control over narrative development and artwork generation. Ishneet’s blog named “Generative AI-powered game design: Accelerating early development with Stability AI models on Amazon Bedrock,” details how game designers and developers can accelerate early design phases using text to image models and language models for prompt design.
Turning to retail, Ishneet describes how AI enables brands to generate personalized product visuals and virtual try-on experiences at scale. She shares best practices for deploying agentic AI systems that autonomously curate and present content tailored to each customer’s preferences and behavior. Her guidance empowers retail teams to deliver content that is both innovative and intensely customer-focused.
“I started my journey into thought leadership, writing papers and articles because I believe in the power of education,” Ishneet explains. In addition, Ishneet has authored two books on the technical challenges of integrating enterprise AI/ML: Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI and Sustainable Cloud Development: Optimize Cloud Workloads for Environmental Impact in the GenAI Era.
Cultivating the Next Wave of GenAI Talent
Ishneet Dua is very passionate about mentoring the next wave of engineers, young women in STEM, at-risk youth, often engaging with high schools and industry experts to expand access to AI education. Ishneet provides hands-on guidance in developing optimized GEN AI pipelines that can auto-generate, curate, and improve digital experiences, and she trains teams to iterate rapidly with cloud technologies from idea to deployment. In addition to her mentorship, Ishneet frequently talks about how responsible AI is now a very important space to develop and work on. She is a guest speaker at the University of Michigan’s upcoming course on responsible AI, where she will share her expertise on what responsible AI means in this new GenAI era and how to think about the science and practice. Looking ahead, Ishneet Dua plans to continue writing, sharing real world insights, and speaking at events and educational forums to make these concepts and new technology accessible to a wider audience.
