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It's not magic: Weighing the risks of AI in financial services |
Thoughtful AI
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Recent Articles
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Risks in finance
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Data Lab
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The Lucid Analytics Project is an impact research firm which delivers reports, presentations, and consulting services.
We focus on innovation in the domains we believe will make the most important contributions to sustainable development.
We focus on innovation in the domains we believe will make the most important contributions to sustainable development.
Impact ResearchThe Lucid Analytics Project is an impact research consultancy. Our primary focus is on technologies with the potential to advance sustainable development. 
Areas of FocusWe focus on innovation in the domains we believe will make the most important contributions to sustainable human development. |
Our ApproachWe are investigative data journalists. Our reputation is built upon honest, objective, evidence-driven analysis. 
Data ScienceWe bring together the skills of data science practitioners and journalists, to deliver clear and lucid insights into this complex domain. |
Recent ArticlesIs Human Talent the Limiting Factor? Financial Inclusion, New Data, and AI
Published by CFI Accion IMPACT - Part 2: Be a problem solver first, an engineer second. Published by Data Science Central How AI can help solve some of humanity's greatest challenges - and why we might fail Published by KDnuggets |
The Lucid Analytics Project is an impact research consultancy. Our primary focus is on technologies with the potential to advance sustainable development.
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We call what we do ‘‘impact research’ for two reasons:
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At the heart of our work is the principle that technologies are not synonymous with solutions.
We believe that the greatest obstacles to tackling the world's most urgent challenges is not an inability to conceive ingenious technologies, but to create incentive structures that enable them to make a global impact. We are obsessive about how innovative ideas can be transformed into scalable business models based on a triple bottom line: financial, environmental, and social considerations.
We believe that the greatest obstacles to tackling the world's most urgent challenges is not an inability to conceive ingenious technologies, but to create incentive structures that enable them to make a global impact. We are obsessive about how innovative ideas can be transformed into scalable business models based on a triple bottom line: financial, environmental, and social considerations.
Our Approach to Impact Research Brings Together 3 Domains
Context
Comprehensive research which combines original insights with contextual understanding
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Intelligent Analytics
The creative application of data science methodologies, such as predictive statistics, machine learning, and natural language processing.
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Clarity
Clear and engaging writing, which narrates the evidence in lively and concise prose
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Our reputation is built upon honest, objective, evidence-driven analysis.
Data Science is central to our work in two ways:
Focused Research: We research and write about data science and the effect it can have on human development. Advances in the analysis and application of data are driving innovation across nearly every industry
Data Science is often poorly understood and badly misrepresented in the mainstream media. Machine learning, for example, remains a black box to nearly everybody who doesn’t actually know how to code. It is often the case that those who understand it don’t write about it - and those who write about it don’t have experience in the field.
We are both practitioners in the field and journalists with the skill set to deliver clear and lucid insights into this complex domain.
Data Science is often poorly understood and badly misrepresented in the mainstream media. Machine learning, for example, remains a black box to nearly everybody who doesn’t actually know how to code. It is often the case that those who understand it don’t write about it - and those who write about it don’t have experience in the field.
We are both practitioners in the field and journalists with the skill set to deliver clear and lucid insights into this complex domain.
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Applied Methodologies: We apply data science methodologies to uncover hidden insights, ensure our work is statistically rigorous, and to illuminate our research through data visualizations.
Our team is familiar with a wide range of techniques, including applied machine learning, natural language processing, statistical methodologies, and data visualization. Our experience in the field ranges from hands-on application, to the management of technical teams, to strategy and leadership in the boardroom. |
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