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Filtering the AI conversation

Security. Governance. Transparency. These are just a small sampling of the issues that organizations will need to confront as they seek to capitalize on the vast opportunities presented by generative AI (gen AI).

In New Zealand, a hotbed for gen AI innovation, Frankly.AI has developed a platform that amalgamates expert insights from various sources, including AI-mediated interviews, detailed panel transcripts and published papers.

Based on its mission of “no voice left behind,” Frankly.AI designed its platform to do more than just gather opinions; it scales the discourse using gen AI, ensuring that a broad spectrum of perspectives are heard—not just those with the most influence. By synthesizing these diverse inputs, Frankly.AI effectively identifies and focuses on the most pertinent and impactful aspects of experts’ views.

Testing the gen AI waters

Looking for a faster and more efficient way to capture the “meat” of these discussions, Frankly.AI turned to watsonx.ai, IBM’s next-generation AI and data platform. To test its effectiveness, the company brought in a team from IBM to co-create—with its own internal staff—a proof-of-concept (POC) solution. Its target: the transcripts of the New Zealand AI Forum, through which government agencies regularly convene to assess the impact of AI on all facets of New Zealand society.

The joint team built a model that automatically extracts raw data from forum discussion transcripts, along with associated research papers. In the background, the solution uses the Smart Document Understanding function within the IBM Watson® Discovery service to organize the content by topic, speaker and other relevant parameters.

Where IBM® watsonx.ai plays its core role is in delivering the most accurate, concise and targeted insights to the people using the consultation chatbot. Based on each user’s unique query into the system, IBM watsonx.ai runs all that aggregated content through one of its many pre-trained large language models (LLMs). What it generates are pithy, relevant insights they can use—and trust.

>90% reduction in time for reporting 2 weeks to achieve POC
Our proof of concept succeeded thanks to IBM’s swift, secure and scalable solution in watsonx.ai. Matt Ensor CEO Frankly.AI
A faster path to insights

By all measures, the two-week project delivered on its stated goal of more efficient and timely summarization. By working with IBM Customer Success and Client Engineering teams to deliver a practical use case, roughly 100 members of the New Zealand AI Forum used the POC solution to generate a white paper from its proceedings for consumption by AI entrepreneurs, investor groups, regulators, researchers, educators and the public at large.

Ordinarily, such an “authorship by committee” endeavor could conceivably take months or more. By capitalizing on the advanced capabilities of IBM watsonx.ai, Frankly.AI has shown that gen AI can dramatically streamline and simplify the process.

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About Frankly.AI

Frankly.AI (link resides outside of ibm.com) is an Auckland, New Zealand-based startup focused on accelerating the adoption of generative AI. A unit of Beca—one of the largest independent advisory, design and engineering consultancies in the Asia Pacific region— Frankly.AI is a platform that utilizes generative AI to facilitate user-led discussions on a broad spectrum of topics.The company uses AI to automatically process conversations to provide insights into the diversity of community views.

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