Learning and sharing knowledge is the foundation of how we improve as individuals, organizations, and communities. If we increase efficiency in organizational knowledge gathering and sharing from existing business ecosystems, we improve economic performance and can invest more in tomorrow’s goals. Kama.ai has incorporated traditional practices for supporting and governing changing human values, knowledge, and experience through conversation. An added benefit is that we create a more support-resilient knowledge capacity within organizations, improving employee turnover and attrition.
One of the greatest challenges facing all of us, and our uses for AI, is our ability to adapt to our changing world. We need to more rapidly improve how we retain, create, and share the knowledge needed to implement new environmental, social, and economic performance systems. Not just within our own organizations, which has been the approach to date, but as interconnected ecosystems with customers, consultants, and suppliers across multiple industries related to the outcomes that impact us all. As recently stated by Stanford Social Innovation Review, in their 2022 article ESG Needs a Shared Language, “[as] a cross-sector collaboration, ESG means different things to different people, but systems change will require building a shared understanding between diverse stakeholders.”
At kama.ai, we developed our Designed Experiential Intelligence™ platform (kama DEI) to connect and augment subject matter experts with AI systems for collaboration and sharing within inter-company and cross-sector ecosystems. Our approach uses human-in-the-loop learning to impart the experience of key individuals on the specific outcomes their organizations are focused on achieving. We create these personas from key individuals to deliver not just their formal knowledge of the subject matter; we augment this with their experience about the economic, emotional and ethical context. This significantly improves how we support learning skills and behaviours; we call this ‘experiential tuning.’ It starts with using kama DEI conversational AI for frequently asked questions and grows into empowering and facilitating higher performing communities of practice working towards common goals.
Kama.ai was recognized in December 2022 Gartner® Competitive Landscape: Emotion AI Technologies report (report accessible for Gartner Subscribers) for the second consecutive year in the Emotional AI technology market.
Why did Kama.ai take this approach?
We are an indigenous-owned and managed company, so we looked to the traditional practice of sharing generational knowledge and values through conversation, where ecosystems, including ethics and environment, are part of the story. We start the experiential knowledge journey using conversational AI to identify questions that lead to the achievement of desired outcomes (understand and address the ‘Voice of Society‘), and we facilitate the creation and delivery of knowledge to arrive at those outcomes.
Kama.ai has just completed two new strategic implementations: Procom uses kama DEI to support their contingent workforce services, and RESEAU uses it to support building water systems for small rural and Indigenous communities across Canada. We are continuously engaging more partners and customers, and we will be sharing these success stories that demonstrate joint innovation between industry, government, and other stakeholders to achieve social, environmental, and economic benefits. We believe that knowledge sharing inherently increases the power to do good or do things in a good way, and we are committed to delivering the best platform to achieve this.
Contact us if you would like to learn how we can help your organization, industry sector and communities.
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Horoszowski, M. (2022). ESG Needs a Shared Language. Standford Social Innovation Review. https://ssir.org/articles/entry/esg_needs_a_shared_language?utm_source=Enews&utm_medium=Email%20&utm_campaign=SSIR_Now
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.