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Conversational Data Intelligence: Industry Use Cases and Future Applications
By Kevin Rohling,Emily Giddings
January 10, 2024

CDI: Changing What’s Possible in Business

Using data insights to find and leverage a competitive edge is easier when data analysis is simple. Up until now, gathering insights from vast, varied datasets has been anything but easy, requiring expert data analysts and complex tooling. Like many industries, conversational AI is changing what is possible in data. As a digital product consultancy that partners with clients to create digital products and services that drive businesses, Presence noticed increasing requests for easier ways to analyze data for insights. Our clients wanted solutions to help draw conclusions, improve internal processes, and deliver innovative experiences to their clients. There wasn’t a plug-and-play solution, so we began creating custom Conversational Data Intelligence (CDI) systems, hyper-suited to our clients’ industries and use cases. These systems combine conversational AI with data analysis so that querying data becomes as straightforward as having a conversation with a colleague. When data analysis becomes this accessible, business insights and innovations become more accessible too.

In this article, we’ll explore industry use cases and predict future applications for CDI that lead to competitive advantages and unique innovations. Exploring CDI’s capabilities can give tech leaders a competitive edge in their careers and equip their companies with cutting-edge tools for improvement and innovation. Read on to uncover industry-specific use cases and future business applications. 

Business and Industry Use Cases

CDI is more than a technological wonder, it has a pivotal role to play in sparking innovation across multiple business sectors. Because it bridges the gap between vast data resources and human inquiry, it has the potential to revolutionize the way industries understand and leverage data. Here we briefly overview the impact and range of business applications CDI offers across different fields. For a deeper technical dive into the building blocks and potential of CDI, see our Conversational Data Intelligence report

Healthcare and Life Sciences

Analyzing Research Data: In the realm of medical research, data and data accuracy are crucial. CDI enables researchers to swiftly decipher complex patterns in extensive datasets. For instance, healthcare professionals can query specific patterns like "Identify symptom X trends among 20-30 year-olds over the past year" and promptly gain insights that would traditionally take weeks or months to uncover. This ease of access positions CDI as a game-changer in medical research, paving the way for faster diagnostic processes, drug development, and other healthcare advancements.

Enhancing Drug Discovery and Trials: Discovering new drugs involves intricate data analysis and balancing effectiveness against side effects. CDI empowers pharmacologists to rapidly assimilate both qualitative and quantitative data from vast sources like patient records, scientific publications, and clinical trial findings. Utilizing CDI to investigate potential drug interactions or side effects can lead to safer and more efficient drug development. In a case with a healthcare research client, we deployed a CDI system for analyzing pharmaceutical data, significantly streamlining the process of interpreting outcomes. CDI facilitates the quick generation of insights on drug effectiveness, side effects, biomarker trends, and patient demographics, bypassing the lengthy wait for customized reports.

Legal Sector

Case Precedent Analysis: The legal field heavily depends on precedents. CDI can condense hours of legal database research into a matter of seconds. Lawyers can use CDI to gather insights on historical cases with similar circumstances, aiding in formulating legal strategies and strengthening court arguments.

Contract Review Efficiency: The often cumbersome process of reviewing dense contractual documents can lead to inefficiencies. CDI allows legal professionals to skip the manual review process. In one of our projects, we are developing a CDI system that identifies specific clauses to streamline contract analysis and ensure more thorough and efficient reviews. 


Investment Analysis: The fast-paced finance sector requires staying well-informed. Investment analysts using CDI can enquire about the performance trajectories of particular markets, stocks, or commodities. This capability enables them to make well-informed decisions, leverage market trends, and reduce risks.


Research Paper Analysis: The academic world is continually inundated with new studies. Academics can use CDI to filter through this abundance of information, requesting papers on specialized topics, comparing findings, and identifying research gaps, thereby advancing their studies and keeping abreast of new developments.

Autonomous Research: CDI is transforming traditional research methods by enabling autonomous study. Researchers can direct the system to review numerous papers and online sources, synthesizing this information to formulate innovative research proposals or draft preliminary papers. This approach can accelerate research processes and explore new interdisciplinary knowledge areas.

Government and Public Services

Public Feedback Analysis: In democratic societies, understanding public opinion is crucial. Government entities can use CDI to quickly evaluate public reactions to policies or events by analyzing data from social media and other public platforms, helping to guide policy-making.

Resource Allocation: CDI aids governments in managing their vast projects and budgets more effectively. Queries about the use of public funds, project progress, or staff assignments provide officials with a comprehensive view, ensuring public resources are managed wisely and effectively.

These scenarios highlight only a portion of CDI's transformative capabilities across different sectors. These applications demonstrate how enhanced data handling, accessibility, and interpretation can improve decision-making, industry-wide innovation, and increased business value.

The Future of Conversational Data Intelligence

CDI is on the brink of revolutionizing our data interaction methods. The coming era will transform how we engage with data, moving from mere storage to dynamic conversations, driving innovation and change across various industries.  The following provides a glimpse into some exciting horizons that will become possible with CDI.

At Presence, our decade-long journey in digital product development, including products combining AI/ML and data analytics, positions us uniquely at the forefront of CDI. We’ve harnessed these advanced technologies to create powerful digital products for partners across various industries, constantly plugged into emerging advances. With a dedicated Head of AI and our affiliation with an extended network of innovative product designers and engineers through our parent company, Work & Co., we’re not just observers but active shapers in the realm of CDI. Our experience in crafting custom CDI systems tailored to specific industry needs gives us a unique vantage point to predict and shape how these systems will evolve. We expect CDI will become more intuitive, interactive, and even indispensable in decision-making processes across many sectors. The future we envision for CDI is one where data is not just a resource but an active, insightful partner in business innovation. 

Virtual Colleagues

CDI will likely become a vital component of team environments. It will participate in team brainstorming sessions, offer instant insights, and even predict team needs based on ongoing discussions. This virtual colleague will contribute data-driven insights, enhancing team decisions with factual, actionable information.

Advanced Personalization

Future CDI systems will not only answer queries but will operate with the context of individual user preferences, previous interactions, and specific requirements. This heightened personalization will ensure responses are customized for each user, making data engagement feel more intuitive.

Diverse Interaction Modes

The conversational model will expand to include not just text, but voice, video, and gesture interactions. Users could articulate complex questions, receive visual data representations, and engage through gestures, all within a cohesive CDI environment.

Sector-specific Expertise

While current CDI systems offer broad knowledge, future versions will include models with in-depth expertise in particular fields, such as law, medicine, or finance. These specialized CDI systems will provide professionals with insights and data interpretations that consider the specificities of their respective domains.

Proactive Data Analysis

Rather than simply responding to questions, future CDI systems will actively anticipate and provide unsolicited but pertinent insights, identifying interesting data patterns. This proactive stance will enable users to recognize opportunities and address risks proactively.

Actionable Intelligence and Autonomous Operations

A truly transformative aspect of future CDI will be its ability to not just interpret data but also to act upon those insights autonomously. Imagine a CDI system that, after analyzing a company's financial data, not only offers insights but also independently recommends investments or executes low-risk transactions. This combination of understanding and action will position CDI as an active participant in decision-making processes, not just a passive consultant.

In summary, the future of CDI is ripe with potential for bringing about innovation, enhancing efficiency, and increasing effectiveness across sectors. From personalized interactions to proactively initiating actions, CDI is poised to revolutionize our interaction with data, making it as dynamic, insightful, and impactful as consultations with our most trusted advisors. Early CDI adoption will lead to substantial competitive advantages.


Conversational Data Intelligence is not just a technological leap; it's a paradigm shift in how we interact with data. Its implications span across improving workflows and processes, and even inspiring new products and services with a competitive edge. As technology leaders consider custom CDI systems, it’s essential to partner with experts for accurate and secure results. To learn more about the CDI, its building blocks, risks, challenges, and more, read our full Conversational Data Intelligence report. For those intrigued by the prospect of custom CDI systems for their company or product, reach out to Presence here. Our decade of expertise, combined with our focus on security and accuracy in developing custom solutions for complex markets, makes us an ideal partner for any CDI journey.