Cognitive Copilots have multiple exciting capabilities that set them apart from ChatGPT or Microsoft Copilot. As a powerful technology, Cognitive Copilot is promising to accelerate businesses to next-level efficiency. So, how does it work?
This article explores how Revenue.AI’s Cognitive Copilot interacts with diverse data sources and provides actionable insights. It addresses important questions about data reliability and security that organizations should consider before the implementation of an AI Co-worker.
Understanding the Concept of a Cognitive Copilot
A Cognitive Copilot is an AI tool designed to understand natural language commands. It searches for insights across disparate data sources – including dashboards, business knowledge bases (SharePoint, Confluence, PDFs), databases, and analytical outputs – delivering context-aware responses and recommendations. Integrated with business communication platforms, it can notify users of relevant updates.
Positioned as a digital workforce component, the Cognitive Copilot empowers business users to interact with data using natural language. Its core capabilities differ from standard generative AI:
- Data Retrieval: Accesses and synthesizes information from siloed internal and external sources.
- Data-Backed Insights: Generates intelligence derived from verified business data, helping mitigate hallucination risks.
- Actionable Recommendations: Provides context-aware suggestions for next steps based on data analysis.
- Strategy Support: Facilitates data exploration for initiatives such as market expansion analysis or market monitoring to adjust go-to-market strategies.
How Revenue.AI’s Cognitive Copilot work with data
Revenue.AI’s Cognitive Copilots use LLMs as parts of their functionalities. Our Cognitive Copilots make sure that data from different inputs and sources is de-siloed and streamlined into one single source of truth, enabling insightful recommendations. Understanding how these Copilots retrieve data and ensure security is important for businesses considering implementation. The transparency of data processing builds the necessary trust in an AI Co-worker.
The following sections address common questions raised during our training sessions, answered by Revenue.AI experts.
“How is data retrieved by the Cognitive Copilot?”
“All databases can be collected via API. And the data is only retrieved unless company policy allows us to. For each and every company, there’s a separate discussion of how this can be done.” – Pawel Dadura, CTO, Revene.AI
During the Proof-of-Concept (PoC) phase, Revenue.AI experts typically act as consultants. We request sample data for a specific product or category, process it through our ecosystem, and demonstrate the potential business efficiency gains. Revenue.AI can improve data access speed significantly.
Do you know that with Revenue.AI, you can boost data access speed by 10 times? Book a free demo to see Cognitive Copilot for Commodity Trading or Cognitive Copilot for Tailored Promotion in action now!
“All of my data is in Salesforce can your Cognitive Copilot retrieve it and is it secure?”
Data retrieval occurs via API, based on client consensus. A high level of security is maintained using metadata instead of the original data; the system operates with meta information during retrieval to protect data from cyber-attacks.
“We’re not feeding any data to our customers to the AI engine. We use metadata to describe your data, and only work with metadata-based ecosystem that we build on our own and use for our core platforms. That way, we can make sure that none of your data is exposed to those cognitive engines run by Google, Microsoft, OpenAI, etc.” – Pawel Dadura, CTO, Revenue.AI.
Revenue.AI’s Cognitive Copilot can be integrated with various systems like for example Salesforce and communication platforms like Teams or WhatsApp.
“How does the Cognitive Copilot give back the answer of data tables?”
One of the outstanding capabilities that our Cognitive Copilot offers is business users’ capability to talk with data and dashboard. Imagine you are driving and need to check on prices of a competitor on the go. Instead of finding a place to park or reaching out to your phone to type in the command when it’s red light, you have an option to just talk to the chat, and the copilot gives you back the data, with dashboards and tables. From there, the copilot also suggests suitable recommendations.
One issue that has been huge and bothering, especially in the hype of AI, is the hallucination or artificial hallucination. This refers to the false and misleading information generated by Gen AI, and it happens quite commonly. In the context of business, the damage can be significant if the LLMs are employed for critical tasks, such as pricing and revenue management. Revenue.AI’s Cognitive Copilots, however, can well address this issue. We make sure the replies you receive are backed by relevant internal data, and ensure a high accuracy level.
So how does it work?
“Behind our ecosystem, there’re not only a specific data engine that is responsible for the baseline of the data curation steps (such as data cleansing, data merging, etc.) but also an analytical engine that is responsible for insight generation. That data engine is being used by Cognitive Copilots to feed them with relevant results.” – Gergo Fenyes, Data Science Lead, Revenue.AI.
Cognititve Copilot Maintenance
“Is there any maintenance required?”, you may ask. In one of our training sessions, we encountered this question with concern: If the client’s internal system is upgraded, do we have to come to them to update the data engine?
The answer is “No”.
“Behind the copilot, there’s the so-called self-service layer, which is like a setup environment, a low-code environment. If you store a particular set of data in a different data table, that configuration should be repointed. There’s no additional code change or anything besides that, and the update is relatively easy.” – Gergo Fenyes, Data Science Lead, Revenue.AI.
Updates for new functionalities and features occur automatically as the Revenue.AI ecosystem evolves. Business users benefit from the latest Copilot version without maintenance overhead.
Introducing Revenue.AI’s Cognitive Copilot Family
Spotting the trend of Cognitive Copilot ever since the first day we started 5 years ago, Revenue.AI had developed a family of Cognitive Copilot for different verticals and business use cases:
- RAI Base is the Cognitive Copilot for multi-purpose data analysis. With the ability to retrieve data from different sources into one single source of truth and notify latest updates, RAI Base can boost productivity by 90%.
- Zeta is the Cognitive Copilot for Commodity Trading. It’s efficient in task automation and streamlining controling process to lower ~50% of operational costs.
- RAI Charles is our promo expert, helping business users realize risks and opportunities for effective promo campaigns and maximized ROIs. Let RAI Charles anticipate the next best action and recommend ideal outcomes for you, today.
- RAI Price is the go-to Cognitive Copilot for effective pricing strategies. The tool can run multiple pricing scenarios and help you figure out the ultimate pricing decision for thousands of SKUs. Ready to build your next efficient pricing strategy with RAI Price?
- RAI Dex is the virtual data steward from Revenue.AI and your ultimate solution to solve data complexity. RAI Dex is helpful in data cleaning, data enrichment, and data merging, making sure your data is easy to find, insightful, and can be reused.
- Allie is an Agile Copilot, the best friend of Scrum Masters, Product Owners, and Project Managers. Allie can simplify tasks and automate Agile best practices. This copilot can also integrate seamlessly across data sources and applications, making insights and action-making accessible on the go.
The new Co-workers
Cognitive Copilots securely access diverse data sources and deliver reliable, data-backed insights without hallucination. Every Copilot is uniquely configured to serve a specific companies need. Moving beyond simple automation, Copilots empower employees. They manage data complexity, saving time, and support teams with actionable advice based on real-time information to improve strategic actions. This allows organizations to stay ahead, making faster, informed decisions.
To embark on the Cognitive Copilot journey, book a demo with us today!
