Kaycee Lai
Menlo Park
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Articles by Kaycee Lai
Cost-Efficient, High-Precision Enterprise AI with Everpure Data Stream
Everpure Data Stream pairs NVIDIA Nemotron 3 Nano and retrieval over your own data to deliver grounded, cited answers at a fraction of frontier-model cost and energy—with data that never leaves your data center. Ask anyone who has taken an AI pilot into production what surprised them most, and you’ll rarely hear about accuracy. You’ll hear about the bill. A copilot that delighted a hundred users becomes a budget line nobody approved at ten thousand. The model didn’t get worse.
Navigating Transportation IT’s ‘Perfect Storm’ with Smarter Infrastructure
To manage increasingly complex data demands, transportation agencies need smarter infrastructure that bolsters cyber resilience, evolves without disruption, and supports AI-driven innovation.
What Is Physical AI? How Real-World AI Will Redefine Data Infrastructure
Physical AI uses sensors, edge AI, and real-time automation to help robots and autonomous systems perceive, decide, and act in the physical world, requiring low-latency, scalable data infrastructure. AI is escaping the data center. For the first time, AI isn’t just generating reports, answering questions, or creating content. It’s driving forklifts, navigating warehouses, inspecting infrastructure, and making real-time decisions in the physical world.
Everpure Data Stream: A Faster Path to AI-Ready Data
At Pure Accelerate 2026, we announced the availability of Everpure Data Stream—a new product based on NVIDIA AI Data Platform reference design that turns the data you already store into AI-ready, governed intelligence any application can call. This is a culmination of joint innovation between Everpure and NVIDIA over the last year. Before I joined Everpure, I spent over seven years with customers trying to gain insights and value from their data.
Driving the Future of AI Data Readiness: Introducing Pure Storage Data Stream
A key component of Pure Storage AI Data Platform, Pure Storage Data Stream accelerates data readiness by automating and speeding up the ingestion, transformation, and optimization of data for enterprise AI pipelines. We are pleased to announce a significant advance in our efforts to simplify data for AI consumption and accelerate inference at scale using Pure Storage Data Stream, a key component of Pure Storage AI Data Platform.
How Data Fabric Can Help Unlock Scalable Generative AI in Enterprises
Kaycee Lai, Founder and chief strategy officer, Promethium Enterprises are accelerating their adoption of generative AI, moving beyond experimentation and piloting into full-scale production. According to Randy Bean's 2025 AI & Data Leadership Executive Benchmark Survey, 24% of enterprises are now deploying generative AI in production—a staggering 4x increase compared to last year.
How Data Fabric and GenAI Will Enable Organizations to Seize the Day in 2025
Chief data officers (CDOs) are at the forefront of data modernization and AI adoption. In 2025, the leaders who successfully embrace innovative technologies, such as data fabric and generative AI (GenAI), will shape the future of their industries. By focusing on collaboration, governance, and scalability, data leaders can address evolving challenges and seize new opportunities.
Active Metadata - The New Unsung Hero of Successful Generative AI Projects
In the rapidly advancing world of technology, one silent powerhouse is revolutionizing how organizations manage and utilize data: active metadata. As generative AI (GenAI) and large language models (LLMs) become integral to data management practices, the role of active metadata in ensuring the success of these initiatives cannot be overstated.
Active Metadata - The New Unsung Hero of Successful Generative AI Projects
In the rapidly advancing world of technology, one silent powerhouse is revolutionizing how organizations manage and utilize data: active metadata. As generative AI (GenAI) and large language models (LLMs) become integral to data management practices, the role of active metadata in ensuring the success of these initiatives cannot be overstated.
Three Signs You Might Need a Data Fabric
A data fabric can help you access all your data and reach actionable insights. Here are three indicators that a data fabric may benefit your enterprise. Organizations increasingly recognize the value of their data assets and that their ability to quickly and efficiently reach actionable insights is a key competitive differentiator. A data fabric can be a major factor in a modern data architecture to enable this.
Data Sprawl: Continuing Problem for the Enterprise or an Untapped Opportunity?
Data sprawl has emerged as a significant challenge for enterprises, characterized by the proliferation of data across multiple systems, locations, and applications. This widespread dispersion complicates efforts to manage, integrate, and extract value from data. However, the rise of data fabric and the integration of Platform-as-a-Service (iPaaS) technologies offers a promising solution to these challenges by transforming data sprawl from a problem into an untapped opportunity.
How American Tire Distributors Leveraged Promethium’s Data Fabric to Optimize Supply Chain Operations
In today’s fast-paced, digitized business environment, agility and flexibility dictate the speed at which organizations can adapt to market and business developments. Data is the currency driving business, so having ready access to comprehensive, reliable live data to support agility and informed decision making can be key competitive differentiators.
Council Post: How The Chief Data Officer Role Is Starting To Fork
Founder and CEO of Promethium. getty In the beginning, there was a lot of talk about being data-driven. This sparked a race that started in the 2000s and is accelerating as we speak. At its start, this involved efforts to more efficiently retain large amounts of data that were being generated either by or about organizations; there was a sense that there was tremendous value in this information, even if it was still mysterious and out of reach.
Conducting Post-COVID-19 Analytics with Limited Data
Conducting Post-COVID-19 Analytics with Limited Data The past year left companies with a dearth of reliable information on their customers, but there are ways to make the most of what you do have. By Kaycee Lai September 10, 2021 In these post-COVID-19 times, your analytics program may be running into a serious issue -- highly limited data. Think about it. Customer behavior during the lockdown was obviously markedly different from what it looked like pre-2020.
Want Business Insights More Quickly? Augment Your Analytics.
Organizations are collecting more and more data. But most of the insights it may contain will remain inaccessible, unless it is purposefully accessed by a data scientist or analyst. Considering the difficulty in hiring data scientists, this leaves companies in a bit of a bind. Furthermore, even companies with robust analytics teams find that it simply takes too long to get the insight they need. To remedy this situation, a new concept has emerged: augmented analytics.
How Augmented Analytics Will Change the Analytics and BI Workflow
Click to learn more about author Kaycee Lai.
Data Fabric: What You Need to Know About the Next Big Thing
If you’re up on the latest trends, you’ve probably heard about something called a “data fabric.” But for most people, this probably sounds about as esoteric as ‘the internet’ sounded in the early 1990s. A data fabric can be thought of as an integrated virtual layer that connects all of an organization’s data and the processes and software associated with it.
Council Post: Five Trends That Will Dominate Data Analytics For The Rest Of 2021
Founder and CEO of Promethium. getty The first quarter of 2021 is behind us, and we are beginning to recover from 2020, the year that changed just about everything. So what's in store for data analytics in 2021? My big prediction is that more businesses will begin the return to service, and they will turn to data to make strategic decisions on how to return to service.
The Data Challenges of a Return to Service
Click to learn more about author Kaycee Lai. COVID has been particularly rough on companies that provide in-person entertainment experiences–theme parks, cruise lines, movie theatres, casinos, concert promoters, resorts, etc. With summer approaching, we’re seeing signs that some of these companies may be opening up operations again. Disneyland, for instance, just announced it is reopening its California parks on April 30, and Royal Caribbean announced it will resume cruises in June.
Integrating Gartner’s “Top 10 Analytics Trends for 2020” Into Your Data Analytics Lifecycle
To help enterprises navigate the word of analytics in 2020, Gartner recently issued its Top 10 Analytics Trends for 2020. To me, three of them represent a synergy with potential to move the industry forward in adoption and utility of analytics -- by leaps and bounds.
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