Welcome back to the second part of our thought leadership series on implementing generative AI solutions for finance. In the first part of this series, I discussed the impact, implications, and potential challenges of generative AI in the financial sector. Today, I'm excited to share SESAMm's journey, a leading AI fintech firm, as we integrate the latest generative AI technology into our products.
SESAMm's Generative AI Journey
At SESAMm, we've always been at the forefront of technological innovation, and our approach to AI is no exception. We've been actively studying the market and gathering user feedback on the potential applications of Generative AI, particularly those modeled after large language models like ChatGPT.
The feedback revealed a clear demand for more Generative AI implementations. Recognizing the potential, we began by integrating the technology into our own internal processes, automating data annotation, streamlining competitor identification, and even generating marketing content. The results have been profound, leading to operational efficiencies and rapid skill development within our team.
Now, we're ready to ramp up our efforts and embark on a more aggressive Generative AI initiative. We aim to further embed large language models into our tech stack to enhance internal productivity, provide improved functionalities to our clients, and introduce a client-facing conversational agent in our dashboards.
The Roadmap for Integrating Generative AI
Our roadmap for integrating generative AI is threefold. First, we are already embedding large language models into our tech stack, developing solutions for automating data annotation for ESG/SDG alerts, automating company portfolio requests, improving the handling of complex queries, and leveraging generative AI for more automated due diligence.
Secondly, we plan to provide a client-facing conversational agent in our dashboards. This agent will automate the extraction and summarization of important ESG/SDG events, generate competitors’ lists and analyses, and handle full due diligence and ESG reports.
Finally, we're focused on increasing the internal adoption of AI across all teams. We're equipping teams with ChatGPT Plus accounts for daily tasks, granting a group of developers access to Github Copilot for productivity gains, and organizing internal working groups and demo sessions.
Enhancing Functionality and Performance
Integrating generative AI into our products will significantly enhance their functionality and performance. Clients will find it much easier to interact with our data, and usage of our dashboards will become quicker and more intuitive. New functionalities will be added, such as the summarization of ESG/SDG events and automatic searches of competitors and comparables for any company.
Notably, the integration of generative AI has led to a significant increase in our rate of shipping AI features. We've seen a five-fold reduction in development time for many components, enabling us to deliver value to our clients much more rapidly.
Robust Risk Mitigation
Risk mitigation is a key concern in the financial sector, and Generative AI can play a vital role in this domain. By integrating generative AI into our products, we aim to provide more comprehensive solutions for detecting risk and ESG controversies for due diligence and portfolio monitoring.
Generative AI will help us better interpret these controversies, providing insights as if our clients had immediate and constant access to an entire team of ESG analysts and experts for each company. This capability can significantly enhance our clients' ability to navigate potential pitfalls, ensuring safer and more informed decision-making.
Positioning for the Future
At SESAMm, we're positioning ourselves for the future by taking a proactive, agile approach to integrate generative AI within our existing product suite.
We're deploying a dedicated task force of experts on this project, iterating quickly and slightly outside our traditional product development processes. Training our team is a crucial aspect of this endeavor, with full team training sessions on Generative AI, discussions related to OpenAI’s API use, and practical examples presented by our data science team.
Our management team is highly passionate about this initiative. We continuously monitor and share the latest developments in AI, ensuring we don't miss any technological shifts that could accelerate our innovation efforts.
The Future of SESAMm with Generative AI
With the integration of generative AI, we envision a future where SESAMm can provide even more value to our clients. Our products will become easier to use, faster, and more intuitive. The new functionalities we are adding will allow us to provide insights and analyses that were previously out of reach.
Moreover, we foresee an increase in our pace of innovation. As I mentioned earlier, the integration of generative AI has already allowed us to develop new features five times faster. This acceleration will enable us to stay ahead of the curve and continue to provide our clients with cutting-edge solutions.
Finally, integrating generative AI will facilitate the adoption of advanced technologies across our entire team, fostering a culture of innovation and continuous learning. This internal transformation will drive our ability to deliver superior solutions to our clients.
The integration of generative AI is an exciting step for SESAMm. It presents numerous opportunities to enhance our product offerings, improve our internal processes, and deliver greater value to our clients. As we embark on this journey, we are not only shaping the future of our company but also setting a precedent for the finance industry at large.
Are you excited about the potential of generative AI in finance? Want to learn more about SESAMm's new solution? Click here to explore how we at SESAMm leverage generative AI to revolutionize the finance industry. Also, make sure you read the third and final part of this series.
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