At the start of this is a simple and yet perennial CEO question: “My gross-margin got hammered. Why did my gross margin decline, and what actions should I take?”
The complexity of modern enterprises means the answer is seldom straightforward, spanning across various domains from supply chain and production to sales and customer service.
GenAI in Modern Business
As I write the capabilities of Generative AI are pushing the boundaries of what’s possible, extending its reach beyond simple chat functionalities to encompass problem-solving, personalization, and automation. It’s these capabilities that will drive actual change in an enterprise, more so than simple chat.
Today’s enterprise systems are often large, unwieldy, siloed. Data within these systems is typically unstructured and scattered. And of different character in each system, making inter-operability difficult. A few years ago a first band-aid was developed: Robotic Process Automation (RPA). And yet — I simplify — if the precise robotic process can’t be followed RPA fails.
The key reason: ambiguity in enterprise data sets. That reason can be as simple as say an underlying product definition change in one system. This ambiguity can lead to inefficiencies and errors, further complicating the task of understanding and acting upon data insights.
The Future: An Insight & Autonomization Layer
What if the solution lies in enhancing communication not just between people but between machines themselves? Imagine a scenario where an enterprise system is able to “chat” with another system to solve a business challenge?
The combination of a number of technologies into a RAG+++ stack (everyone knows what a RAG stack is, we’ll expand over the next weeks what a RAG+++ stack is) allows for the first time to deal with this enterprise ambiguity.
A generic request of the type “I need to increase output capacity by 20%” is a multi-faceted and consequently multi-threaded help desk request. Watch this following video (https://go.squirro.com/agents ) to see how a clever combination of men and machine solves that using our Autonomization layer.
It’s the equivalent of a Air Traffic Controller (ATC). She is not flying the planes, she’s simply orchestrating the operations, focusing on what she does best — decision making in ambiguous situations while offloading the work to other agents in that complex system called airline operations. This exact same scenario becomes now possible for any business operations.
The result? A system where insights and actions are not just data-driven but dynamically responsive to the shifting landscapes of business needs. This integration of an Insight & Autonomization Layer across companies promises a more interconnected and intelligent enterprise. This layer will act as the central nervous system of the business, interpreting vast and varied data streams and converting them into actionable insights and automated responses.
Conclusion
For businesses, this fusion of various technologies into a RAG+++ stack represents not merely a tool but a transformative force that can enhance productivity across all crucial areas of operation.
The journey towards an autonomized, insight-driven enterprise is not without its challenges, but the potential rewards — increased efficiency, better decision-making, and enhanced productivity — are too significant to ignore.
Testing and Implementing RAG in Your Enterprise
If our strategies surrounding Generative AI and RAG have sparked your curiosity, there’s more to uncover. Here are our top three resources for C-level leadership and senior IT professionals:
- This whitepaper is the perfect introduction to RAG and its capabilities in an enterprise: Discover why you need Retrieval Augmented Generation in 2024
- Listen to our experts delve into RAG technology: Squirro’s RAG Revolution
- Get your copy of The Successful Enterprise Search & Generative AI Buyer and transform your data into actionable insights with Squirro — a trusted solution provider for leading organizations, including central banks.
Since December 2022, we at Squirro have been pioneering RAG technology to empower enterprises across various industries. Would you like to see a tailored demonstration and solutions leveraging RAG technology?
We offer an in-depth look at how it enhances enterprise use cases with Squirro — a trusted solution provider for leading organizations, including central banks.
