Leveraging Enterprise Data to Scale AI Use Cases
For years, public internet data has powered AI’s growth. But current large language models (LLMs) that rely heavily on public data sources—like Reddit, WordPress, public web pages, etc.—are reaching their limit.
A study by the MIT-led Data Provenance Initiative revealed that many key web sources are increasingly restricting data access crucial for AI training models. The research examined 14,000 web domains within three popular AI training datasets and highlighted an “emerging crisis in consent” as publishers move to limit data harvesting.
Data is the main ingredient in today’s generative AI systems, like OpenAI’s ChatGPT, Google’s Gemini, and Anthropic’s Claude. These models rely heavily on data to produce written content, code, and responses. The higher the data quality provided to these models, the more accurate and effective the AI’s outputs.
The potential benefits of AI in B2B are vast, and we feel that much of this potential is still untapped due to growing data limitations. Common use cases for generative AI in businesses today include customer support chatbots, content creation and marketing automation, product design and prototyping—but, what’s next?
We believe the next frontier with AI comes from tapping into underutilized financial datasets and leveraging them for strategic decision support. As seen in this Emergence article, the “lack of good training data is what has caused AI capabilities to plateau, and access to the next frontier of data is what AI needs to make the jump to the next S-Curve.”
At Profit Isle, we wholeheartedly agree—and believe that future AI advancements depend on leveraging proprietary enterprise data for decision-making. For companies looking to reach their next innovation milestone with AI, enterprise data is the key to success.
Image Source: Fast Company
AI Readiness: Challenges and Concerns for Leaders
In a recent Wired article, Mark Patterson, Cisco’s Chief Strategy Officer, highlights that “Every CEO and CIO is feeling the pressure to establish an AI strategy to figure out how this technology can improve efficiency in their business, but just 13 percent of organizations claim they’re fully equipped to incorporate AI.”
According to one industry analysis, companies that reinvent themselves to take advantage of AI are expected to outpace those that don’t by a factor of 2.4 in revenue generation, “Companies must be able to use generative AI to reinvent…it is table stakes for success, and companies will compete on how fast they are able to harness and deploy it to create material value.”
Image Source: Fast Company
Enterprise executives may feel unprepared or apprehensive about adopting AI for a few key reasons:
Cost and ROI Uncertainties Around AI
The high upfront costs of AI implementation can be daunting for many organizations, especially for businesses already investing heavily in digital transformation. With unclear and often delayed returns on investment for AI, it can be difficult to justify significant budget allocations.
Understanding AI’s Value Proposition
Many enterprise leaders struggle to see how AI can directly impact their bottom line. While AI’s potential is vast and can span the entire organization, identifying specific use cases per business unit and measuring their impact on key business metrics can be challenging.
Data Quality and Legacy Systems
Many organizations struggle with data cleanliness, data governance, and data readiness—three things that hinder their ability to train effective AI models. A major challenge in AI adoption is the quality and accessibility of proprietary enterprise data, particularly when dealing with legacy systems that often lack the flexibility and scalability required for AI. Effective data governance is critical for enterprises to ensure the accuracy and integrity of the data used in AI models.
Where to Start: Get Your Enterprise Data AI-Ready
At Profit Isle, when we talk to C-suite executives across industries, we see a wide range of AI maturity. Some companies are just beginning to explore AI, while others have established AI teams driving innovation. One thing’s consistent: everyone’s excited about AI’s potential. A common question we hear is, “How can we get started with AI?”
The answer is simple: Get your enterprise data AI-ready.
For AI to deliver value, enterprises must fuel it with the right, high-quality data. In matrixed organizations, data lives in silos across systems like ERP, CRM, WMS, as well as clouds and spreadsheets, making digital transformation a lengthy and expensive endeavor. But even if you’re in the middle of a massive digital transformation, you can get AI-ready and start small.
Wherever enterprise data lives, integrating those datasets and making them speak a common language so they’re AI-ready is critical. As AI adoption accelerates, prioritizing data transformation to leverage coherent datasets is the key to staying competitive and unlocking AI’s full potential.
Enterprise leaders today need to:
- Build a trusted, transparent, ongoing data foundation for AI—regardless of where they are in their digital transformation journey
- Scale the use of AI across the organization
- Leverage AI to drive critical decision-making
Create Coherent, Augmented, AI-Ready Datasets
Profit Isle, an MIT STEX25 startup, is revolutionizing how businesses leverage their proprietary enterprise data and is the ideal partner for companies looking to embrace the generative AI ecosystem while driving value to the bottom line.
Are you ready to expand the use of generative AI capabilities at your company, but are unsure of where to start?
Profit Isle can help:
- Prepare disparate, incoherent enterprise data for AI initiatives in weeks (not months)
- Generate actionable profit insights that will impact the company’s bottom line
- Meet your team where they are along their AI journey—and support AI initiatives with coherent, AI-ready data
How the Profit Isle Platform Works
For a century, P&Ls have been static, designed to summarize complexity down to averages that hide key profitability patterns. Profit Isle moves beyond this legacy structure, uncovering actionable profit insights that legacy systems and standard P&Ls fail to deliver. By reinventing the P&L, we deliver powerful insights from big data.
Deployed on the Google Cloud Platform, Profit Isle’s analytic engine integrates, cleanses, and transforms disparate datasets from various systems, BI platforms, data lakes, and spreadsheets, assigning general ledger costs to each transaction based on business activity and generating a full P&L for every invoice line.
In weeks—not months—Profit Isle can generate large, coherent, high-quality datasets that are grounded in business activity, augmented, and ready for AI—delivering customers rapid value and ROI.
Benefits to a Multi-Billion Dollar Retailer
With Profit Isle, a $12B global retailer using two ERP systems can integrate and transform disparate enterprise data—from the general ledger, transactions, inventory, and pricing to freight, HRIS, payroll, marketing, promotions, planograms, loyalty programs, and operations—and can generate actionable profit insights like:
- Profitability by store, hour, and department
- Omnichannel profitability across 16 unique channels
- ROI on planograms, product placements, and marketing spend
Instead of relying on a few P&Ls to manage the business, the retailer can generate ~1 billion P&L statements—a P&L for each invoice line—within weeks. Every period, this comprehensive dataset is validated against the P&L for accuracy and trustworthiness, ensuring data reflects changing business activities, and is grounded with full transparency and data governance parameters in place.
We’ve run $600B+ dollars of revenue through our platform, identifying hundreds of millions of dollars of actionable profit opportunities for customers.
The Data Differentiator: Fuel Future AI Innovation
As enterprises seek to deploy next-gen AI tools, creating a coherent data foundation becomes critical. Silos of incoherent data lead to fragmented insights, no matter how sophisticated the AI model that powers it.
The Profit Isle platform creates structured, augmented, AI-ready datasets aligned to specific use cases per business unit—delivering actionable profit insights that drive measurable outcomes.
We are a powerful data transformation engine, helping companies:
- Accelerate AI adoption
- Enhance BI system capabilities, and
- Generate AI-driven process improvements
