Uploaded June 2026 | Updated September 2026, 3 weeks ago
*Featured in this video:* Kyle Luchinski, Director of Enterprise Data Platform, Analytics, and AI Enablement at Kohl’s
*Executive summary:* Kohl’s, a leading omnichannel retailer, is transforming enterprise data into faster decisions with Google Cloud. Using Gemini Enterprise as the front door to data and AI, Kohl’s enables teams to build custom agents like its Conversational Analytics agent, which lets associates chat with its BigQuery data foundation to get instant, trusted insights. Looker’s semantic layer ensures agents understand Kohl’s unique business language and context, grounding responses in governed, consistently defined data every time. This unified agentic architecture is helping Kohl’s set a path to scale AI more confidently across its business, like the Gift Finder for Mother’s Day — a gifting agent that provides shoppers with conversational, guided discovery.
*Challenge:* In the fast-moving retail landscape, Kohl’s needs to make informed decisions at the speed of the customer. Kohl’s wanted to use AI to reduce the cost of curiosity, making insights easier to access while ensuring every experience remained governed and scalable.
*Solution:* Using the Gemini Enterprise Agent Platform, Kohl’s built a custom agent on top of its BigQuery data platform. With the Gemini Enterprise app acting as a “front door,” associates will be able to use the agent to ask questions in natural language and get back answers instantly. Looker’s semantic layer allows Kohl’s to define its data structure and business logic, ensuring the agent can accurately interpret enterprise user intent and deliver relevant, consistent, and reliable answers every time — all grounded in governed data. Kohl’s is also scaling this momentum directly to the shopper, moving beyond internal operations to elevate customer experiences. Using Gemini Enterprise for Customer Experience, the retailer is creating innovations like the Gift Finder for Mother’s Day — a gifting agent that provides shoppers with conversational, guided discovery.
*Results:* With Gemini Enterprise, Kohl’s has created a repeatable framework to build, scale, govern, and optimize AI agents. This unified agentic architecture is helping set a path to scale AI more confidently across the business, delivering faster decisions and giving teams more time to spend on building value to serve and support millions of families.
*Key takeaways and highlights from our interview with Kyle Luchinski, Director of Enterprise Data Platform, Analytics, and AI Enablement at Kohl’s:*
→ “We built a custom agent on top of Gemini Enterprise Agent Platform that enables people to actually speak conversationally to our governed data. So, they can write a natural language question, and then the agent will bring them back reliable data every time. It turns analysis into active conversation. It becomes the front door to data at Kohl’s.”
→ “We have all of our enterprise data housed in BigQuery. On top of that, we have Looker. That's really the secret sauce that helps bring the agents the context they need in order to repeatedly bring governed data back to the user. On top of that, we have Gemini Enterprise where our users are interacting with the agents we build in Agent Platform.”
→ “The semantic layer is what makes this whole thing work. You define the logic once. What sales mean, how do joins work, and then reuse that logic consistently. That's how you avoid a world where two teams ask a similar question, and they come back with different answers. It's really the difference between a flashy demo and an enterprise capability.”
→ “We're using Gemini Enterprise for Customer Experience to build an AI-powered gifting agent that makes Mother's Day shopping more intuitive and personalized. It uses conversational AI to guide customers to the right gift for mom based on her interests, hobbies, and personal style.”
*Google Cloud products used:* Gemini Enterprise app, Gemini Enterprise Agent Platform, Gemini Enterprise for Customer Experience, BigQuery, Looker
*Learn more:*
→ Supporting Smarter Shopping and Faster Decisions with AI at Kohl’s
corporate.kohls.com/news/supporting-smarter-shopping-and-faster-decisions-with-ai-at-kohls
*Featured in this video:* Kyle Luchinski, Director of Enterprise Data Platform, Analytics, and AI Enablement at Kohl’s
*Executive summary:* Kohl’s, a leading omnichannel retailer, is transforming enterprise data into faster decisions with Google Cloud. Using Gemini Enterprise as the front door to data and AI, Kohl’s enables teams to build custom agents like its Conversational Analytics agent, which lets associates chat with its BigQuery data foundation to get instant, trusted insights. Looker’s semantic layer ensures agents understand Kohl’s unique business language and context, grounding responses in governed, consistently defined data every time. This unified agentic architecture is helping Kohl’s set a path to scale AI more confidently across its business, like the Gift Finder for Mother’s Day — a gifting agent that provides shoppers with conversational, guided discovery.
*Challenge:* In the fast-moving retail landscape, Kohl’s needs to make informed decisions at the speed of the customer. Kohl’s wanted to use AI to reduce the cost of curiosity, making insights easier to access while ensuring every experience remained governed and scalable.
*Solution:* Using the Gemini Enterprise Agent Platform, Kohl’s built a custom agent on top of its BigQuery data platform. With the Gemini Enterprise app acting as a “front door,” associates will be able to use the agent to ask questions in natural language and get back answers instantly. Looker’s semantic layer allows Kohl’s to define its data structure and business logic, ensuring the agent can accurately interpret enterprise user intent and deliver relevant, consistent, and reliable answers every time — all grounded in governed data. Kohl’s is also scaling this momentum directly to the shopper, moving beyond internal operations to elevate customer experiences. Using Gemini Enterprise for Customer Experience, the retailer is creating innovations like the Gift Finder for Mother’s Day — a gifting agent that provides shoppers with conversational, guided discovery.
*Results:* With Gemini Enterprise, Kohl’s has created a repeatable framework to build, scale, govern, and optimize AI agents. This unified agentic architecture is helping set a path to scale AI more confidently across the business, delivering faster decisions and giving teams more time to spend on building value to serve and support millions of families.
*Key takeaways and highlights from our interview with Kyle Luchinski, Director of Enterprise Data Platform, Analytics, and AI Enablement at Kohl’s:*
→ “We built a custom agent on top of Gemini Enterprise Agent Platform that enables people to actually speak conversationally to our governed data. So, they can write a natural language question, and then the agent will bring them back reliable data every time. It turns analysis into active conversation. It becomes the front door to data at Kohl’s.”
→ “We have all of our enterprise data housed in BigQuery. On top of that, we have Looker. That's really the secret sauce that helps bring the agents the context they need in order to repeatedly bring governed data back to the user. On top of that, we have Gemini Enterprise where our users are interacting with the agents we build in Agent Platform.”
→ “The semantic layer is what makes this whole thing work. You define the logic once. What sales mean, how do joins work, and then reuse that logic consistently. That's how you avoid a world where two teams ask a similar question, and they come back with different answers. It's really the difference between a flashy demo and an enterprise capability.”
→ “We're using Gemini Enterprise for Customer Experience to build an AI-powered gifting agent that makes Mother's Day shopping more intuitive and personalized. It uses conversational AI to guide customers to the right gift for mom based on her interests, hobbies, and personal style.”
*Google Cloud products used:* Gemini Enterprise app, Gemini Enterprise Agent Platform, Gemini Enterprise for Customer Experience, BigQuery, Looker
*Learn more:*
→ Supporting Smarter Shopping and Faster Decisions with AI at Kohl’s
corporate.kohls.com/news/supporting-smarter-shopping-and-faster-decisions-with-ai-at-kohls
![New Way Now: ASCO democratizes access to cancer care guidelines for oncologists with Google AI
*Featured in this video:* Dr. Clifford Hudis, CEO, American Society of Clinical Oncology (ASCO)
*Executive summary:* Oncologists need quick and easy access to deeply researched, evidence-based cancer treatment guidelines in order to provide the best care to their patients. However, conventional searches can be time-consuming and cumbersome. The American Society of Clinical Oncology (ASCO), a global membership organization of more than 50,000 cancer care professionals, aimed to solve this challenge with the ASCO Guidelines Assistant. Built on Gemini Enterprise Agent Platform (formerly Vertex AI), this agentic assistant allows physicians to ask questions in natural language and instantly surfaces specific answers grounded in ASCOs trusted guidelines. This has democratized access to high-quality cancer care information.
*Challenge:* ASCO produces evidence-based recommendations that outline appropriate methods of treatment and care that clinicians rely on for difficult questions, but getting this information to its global membership at the critical moment they need it can be challenging. Guidelines vary widely in length and format, creating a complex data ecosystem that’s difficult to search through manually. Conventional internet searches break clinical workflow when physicians need immediate answers, so ASCO set out to make it easier for doctors to find exactly what they need, when they need it, from a source they can trust.
*Solution:* Working with Google Cloud, ASCO created its Guidelines Assistant, a trusted knowledge source built on Gemini Enterprise Agent Platform (formerly Vertex AI). The assistant allows physicians to ask questions in natural language through dictation or typing, instantly surfacing specific places in ASCOs guideline library that answer their questions. It only provides answers grounded in ASCOs source documents, which allows for greeting trust in the fact that information comes from vetted, evidence-based guidelines. ASCO is now collaborating with Google Cloud to create tools that shorten guideline production timelines.
*Result:* The ASCO Guidelines Assistant democratizes access to high-quality cancer treatment information globally. By unburdening clinicians from time-consuming information searches, the tool addresses the growing problem of physician burnout, allowing doctors to pivot back to face-to-face humanistic patient care. The project represents a critical stepping stone as the oncology community integrates AI throughout clinical workflows. With this greater efficiency in surfacing treatment guidelines, ASCO envisions a brighter future for cancer patients worldwide.
*Highlights and key takeaways from our interview with Dr. Clifford Hudis, CEO of the American Society of Clinical Oncology (ASCO):*
→ “[The ASCO Guidelines Assistant] lets a doc ask, in natural language, and the guideline assistant will surface instantly for them the one specific or several specific places in our vast array of guidelines where we answer their question.”
→ “[The ASCO Guidelines Assistant] only will give answers that are grounded in our source documents, our guidelines, so the user can have confidence if they get an answer, it comes from a trusted source.”
→ “Our ultimate goal is to make it possible for a user to come to our website and find any content from any of our sources, and then be able to quickly use it in order to deliver higher quality care to their patients.”
*Google Cloud products used:* Gemini Enterprise Agent Platform
*Learn more:*
→ ASCO and Google Cloud Launch AI-Powered ASCO Guidelines Assistant
https://dailynews.ascopubs.org/do/asco-and-google-cloud-launch-ai-powered-asco-guidelines-assistant New Way Now: ASCO democratizes access to cancer care guidelines for oncologists with Google AI](https://i.ytimg.com/vi/l-s3Wv3UvDA/mqdefault.jpg)









