Struggling to convert AI ambition into measurable, scalable value?
This leadership series closes that gap.
Enterprise AI That Works explores what drives real AI ROI — strategy before technology, adoption before automation, and modern, Snowflake-enabled data architecture built for longevity, not hype.
Across ten focused insights, Vince Belanger shares executive perspective drawn from hands-on transformation work across complex enterprises and mid-market firms.
10 Insights on Strategy, Adoption, and Scalable Impact
Building the Foundation for Enterprise AI
Enterprise AI Strategy: Why Business Alignment Drives Measurable ROI
Description:
A strong AI strategy begins with business alignment, not technology selection. This video explains how connecting business problems, data foundations, and ROI modeling ensures AI investments deliver measurable outcomes rather than isolated proofs of concept.
Transcript:
And when we do a strategy with our customers and why that’s so important, it sets the tone and it sets alignment for everything that happens thereafter. And when we talk strategy, it’s not just about, hey, let’s get all of our data together in this warehouse or hey, we’re going to deploy this particular technology. It’s about bringing the business to understand the data, the business problem, and understand can we afford what the AI opportunity and its ROI is going to cost if we’re going to make these investments.
AI Adoption Strategy: How to Scale AI Beyond the Model
Description:
AI initiatives create value only when adopted across the business. This video explains how change management, workflow integration, and governance frameworks determine whether AI delivers measurable ROI at scale.
Transcript:
When we talk about scaling, it still goes back to business adoption because there is no value if nobody uses it. If a tree falls in the woods and nobody hears it, did the tree fall? If we build the most awesome AI model and nobody uses it, does it return value? The answer is no. So, we want to be able to help our customers adopt.
Business-First AI: How to Prioritize Use Cases and Drive Real ROI
Description:
Enterprise AI initiatives should begin with measurable business problems rather than technology selection. This video outlines a structured approach to identifying KPIs, aligning data, and automating processes that drive sustainable impact.
Transcript:
Business problems have budgets. Technology problems are costs. So we want to be able to change that with our with our customers. And too often a lot of our customers are will start with uh solving a problem with technology, right? Should we use Snowflake or should we use data bricks? Do we need this tool or do we need that tool? And we want to flip the script with our customers and we want to start breaking down problems, right? Why are are we losing margin on this particular set of SKUs? Why is our ticket to resolution time increasing? So we want to break down those problems, understand what they look like and we have our own little kind of process that we walk through. So when we identify a problem with our customers, we want to understand the pain points. We want to understand what are the KPIs and things necessary. So when the KPI moves, we can move the needle in a positive way for our customers. We want to surround that with data. Then we want to be able to apply analytics and insights and be able to bring that to the customer and ultimately then use AI and automation and remove that process from from the day-to-day so we can focus on other things.
Architecture and Acceleration
Using AI to Improve Forecast Accuracy, Labor Productivity, and Customer Insight
Description:
Mid-market organizations can use AI to shrink forecast variability, optimize constrained labor resources, and improve customer analytics. This video outlines practical use cases driving measurable margin improvement.
Transcript:
So when we talk about our customers uh we have manufacturing companies with lab labor shortages. So how can we optimize that route and make best use of their time? our banks uh I mean even for me today which is still ridiculous uh smaller banks still trying to understand the customer right how many times do you still get I know I have and it’s unfortunate been banking with a particular bank for over 20 years and I still say hey would you like a new toaster if you open up a savings account like I have a lot of accounts with you why why am I receiving this information so know your customer and we have retail customers with razor thin margins and trying to figure out uh you know, and forecast what’s going to go on the shelves. And and today’s models in the big world, they’re they’re plus minus 20%, but we can use data and AI to shrink that that forecast probability, you know, down to 10%. And that’s that’s a huge lift to to a net profit for our mid-market customers. And that at the end of the day is why the mid-market is a sweet spot because we can be along with the journey and move the needle and have an impact.
Why Snowflake Ecosystems Enable Scalable and Predictable AI Outcomes
Description:
Enterprise AI success depends on selecting scalable, re-deployable architectures. This video explains why Snowflake ecosystems help organizations achieve durable, predictable outcomes.
Transcript:
There are so many new technologies that are appearing on a daily basis. We want to be able to do something that we know has legs, has longevity, and give our customers the longest window of time with a particular solution, especially as we step into AI and a lot of the the the unknown. So, at the end of the day, you know, 80% of our use cases uh and frameworks are redeployable. we start scattering across multiple technologies, we are we are kind of somewhat reinventing the wheel and we don’t want to do that on the customer’s dime. So that’s the reason why we’re leaning into Snowflake because now we know I can deliver predictable expected results back to our customers.
Accelerating Enterprise AI Time to Value with Snowflake
Description:
Modern data platforms reduce infrastructure complexity and allow organizations to focus on business adoption and measurable ROI. This video explores accelerating AI impact using Snowflake ecosystems.
Transcript:
There are so many new technologies that are appearing on a daily basis. We want to be able to do something that we know has legs, has longevity, and give our customers the longest window of time with a particular solution, especially as we step into AI and a lot of the the unknown. So, at the end of the day, you know, 80% of our use cases uh and frameworks are redeployable. we start scattering across multiple technologies, we are we are kind of somewhat reinventing the wheel and we don’t want to do that on the customer’s dime. So that’s the reason why we’re leaning into Snowflake because now we know I can deliver predictable expected results back to our customers.
Sustainable, Scalable Impact
Why Mid-Market Companies Achieve Faster ROI from AI Investments
Description:
Mid-market organizations combine agility and infrastructure maturity, enabling faster AI deployment and measurable business impact compared to smaller firms or highly regulated enterprises.
Transcript:
We find the mid-market is also both culturally and technically aligned with us which which is a pleasure. So when I say culturally I can go in and talk to the CFO or I can talk to the owner operator of a manufacturing firm. I when I sit down with the CFO I can build a credit risk model in in months right or in weeks we could have a model deployed and we can be making an impact at a Fortune 500. that model sits it goes through compliance conversations until too much time has passed and it’s rendered use useless really at the end of the day and then technically like I mentioned they have the systems we have ERPs there are IoT sensors in manufacturing devices so we have the information necessary to help move the needle and that’s where the impact is as opposed to like the SMB that may not even have some of their processes digitalized test.
Maximizing AI ROI in Mid-Market Organizations with Limited Budgets
Description:
Effective AI strategy in mid-market organizations requires prioritizing high-ROI use cases and aligning investment to measurable business outcomes. This video outlines that approach.
Transcript:
Our mid-market customers, they don’t have big budgets, right? So they those budgets are spread thin like peanut butter. So we want to know where are the things that going to move the needle, where are we going to get an ROI, where can we put the wood behind the arrow, so to speak, so we know where to make investments for our customers. And that’s why the the strategy is so important.
How to Build an Actionable Enterprise AI Roadmap
Description:
This video explains why many AI roadmaps fail and how to build defensible, ROI-driven strategies rooted in business use cases, governance, and adoption planning.
Transcript:
It’s about bringing the business to understand the data, the business problem, and understand can we afford what the AI opportunity and its ROI is going to cost if we’re going to make these investments. You know, when we sit down with customers, more often than not, we’re going to have the hey, listen, we already have a road map. We just put it together last week and then and I can guarantee 100% of those when given the opportunity to take a look at this road map are really just glorified wish lists. It’s a list of technologies or things that they’ve seen in the Gartner hype cycle saying we need to do AI, we need geni, we need self-service, we need visualizations. It’s not a roadmap. It’s a unattainable you know unattainable things uh that that that you know our customers are trying to strive for. So we want to be able to build that strategy so that way we start with business and business use cases. The why, what is the data that’s necessary to support that? How do we move the needle? If we have the data and we apply AI and we have a signal, do we understand it? Is it defensible? Do we know why we’re taking action? All those things are important. And then we want to make sure that the organization’s aligned. So that way that the strategy help builds in adoption. So if we build an ROI model, that’s great, but nobody uses it. Do you know what the ROI in that is? It’s zero.
Why Enterprise AI Impact Matters: From Technology to Measurable Business Outcomes
Description:
Enterprise AI success is defined by measurable business impact, not technical deployment. This video explores how aligning strategy, data, and people creates durable value across organizations, improving performance, customer outcomes, and long-term growth.
Transcript:
I hope anybody listening to this for the most rewarding thing has felt this sometime in their career when it’s Sunday night and maybe as we’re in football season watching a game as opposed to realizing that tomorrow’s Monday. It’s tomorrow’s Monday because I want to get back to work. I’ve been in this space for a long period of time and when you work with a company that you really care about with employees and team members that you care about and their families and your customers and the ecosystem, it’s pretty magical.
