AI Research for Better Decision-Making
Delve into AlgoVerde’s research on AI product innovation, synthetic personas, AI assisted market research, and AI-driven consumer insights, grounded in validated, real-world applications.
AI Research for Better Decision-Making
Delve into AlgoVerde’s research on AI product innovation, synthetic personas, AI assisted market research, and AI-driven consumer insights, grounded in validated, real-world applications.
AI Market Research and Synthetic Studies for Better Decision-Making
Delve into AlgoVerde’s research on AI product innovation, synthetic personas, AI assisted market research, and AI-driven consumer insights, grounded in validated, real-world applications.
Events & Conferences.
Events & Conferences.
We share insights and contribute to the evolution of AI-driven decision-making and AI assisted market research, engaging with industry leaders and practitioners.
We share insights and contribute to the evolution of AI-driven decision-making and AI assisted market research, engaging with industry leaders and practitioners.
We share insights and contribute to the evolution of AI-driven decision-making and AI assisted market research, engaging with industry leaders and practitioners.
Reimagine Product Development and Market Intelligence with GenAI Personas and synthetic panels
Conference “GenAI World Boston” Hynes Convention Center, Boston
Featured in
AlgoVerde in Forbes explores how AI product innovation is transforming traditional innovation cycles, reducing timelines from 12-18 months to weeks through AI-driven insights and advanced simulation.
AlgoVerde in Forbes explores how AI product innovation is transforming traditional innovation cycles, reducing timelines from 12-18 months to weeks through AI-driven insights and advanced simulation.
AlgoVerde in Forbes explores how AI product innovation is transforming traditional innovation cycles, reducing timelines from 12-18 months to weeks through AI-driven insights and advanced simulation.
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Latest Research
Living Research & Thinking on Generative AI.
A continuously updated stream of research insights reflecting our thinking on AI innovation, AI consumer insights, simulations and decision systems.
A continuously updated stream of research insights reflecting our thinking on AI innovation, AI consumer insights, simulations and decision systems.
Agent Skills promise to make AI Agents smarter and more effective, but do they actually work? This article introduces SkillsBench, the first benchmark to systematically measure when, where, and how much Skills improve agent performance across 84 tasks and 11 domains.
Agent Skills promise to make AI Agents smarter and more effective, but do they actually work? This article introduces SkillsBench, the first benchmark to systematically measure when, where, and how much Skills improve agent performance across 84 tasks and 11 domains.
Agent Skills promise to make AI Agents smarter and more effective, but do they actually work? This article introduces SkillsBench, the first benchmark to systematically measure when, where, and how much Skills improve agent performance across 84 tasks and 11 domains.
Xiangyi et al.
Xiangyi et al.
DeepPersona is a generative engine that synthesizes realistic AI personas from just a few demographic anchors, but unlike existing approaches, the resulting profiles aren't shallow sketches. By mining tens of thousands of real human-LLM conversations, the system builds an 8000+ node human attribute taxonomy and uses it to progressively construct personas, closing the gap between simulated and real human behavior
DeepPersona is a generative engine that synthesizes realistic AI personas from just a few demographic anchors, but unlike existing approaches, the resulting profiles aren't shallow sketches. By mining tens of thousands of real human-LLM conversations, the system builds an 8000+ node human attribute taxonomy and uses it to progressively construct personas, closing the gap between simulated and real human behavior
DeepPersona is a generative engine that synthesizes realistic AI personas from just a few demographic anchors, but unlike existing approaches, the resulting profiles aren't shallow sketches. By mining tens of thousands of real human-LLM conversations, the system builds an 8000+ node human attribute taxonomy and uses it to progressively construct personas, closing the gap between simulated and real human behavior
Zhen Wang, Yufan Zhou, Zhongyan Luo, Lyumanshan Ye, Adam Wood, Man Yao, Saab Mansour, Luoshang Pan
Zhen Wang, Yufan Zhou, Zhongyan Luo, Lyumanshan Ye, Adam Wood, Man Yao, Saab Mansour, Luoshang Pan
This article discusses how organizations often struggle to identify innovations that are both novel and feasible, finding that combining different types of expertise yields good results, and that GenAI experts achieve 77-96% agreement with human experts when summarizing innovations.
This article discusses how organizations often struggle to identify innovations that are both novel and feasible, finding that combining different types of expertise yields good results, and that GenAI experts achieve 77-96% agreement with human experts when summarizing innovations.
This article discusses how organizations often struggle to identify innovations that are both novel and feasible, finding that combining different types of expertise yields good results, and that GenAI experts achieve 77-96% agreement with human experts when summarizing innovations.
Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti
Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti
Researchers from Renmin University of China and Tsinghua University developed an agentic LLM able to automate data science tasks. Their model, called DeepAnalyze-8B, is capable of ingesting huge spreadsheets and producing research-grade reports, and is the first agentic LLM specialized for spreadsheets/excel files.
Researchers from Renmin University of China and Tsinghua University developed an agentic LLM able to automate data science tasks. Their model, called DeepAnalyze-8B, is capable of ingesting huge spreadsheets and producing research-grade reports, and is the first agentic LLM specialized for spreadsheets/excel files.
Researchers from Renmin University of China and Tsinghua University developed an agentic LLM able to automate data science tasks. Their model, called DeepAnalyze-8B, is capable of ingesting huge spreadsheets and producing research-grade reports, and is the first agentic LLM specialized for spreadsheets/excel files.
Shaolei Zhang, Ju Fan, Meihao Fan, Guoliang Li, Xiaoyong Du
Shaolei Zhang, Ju Fan, Meihao Fan, Guoliang Li, Xiaoyong Du
Check out our Curated Selection of Generative AI Research Insights and Papers.
Every week our team explores all the relevant research in GenAI.
Every week our team explores all the relevant research in GenAI.
AlgoVerde New Perspectives
From Insight to Foresight.
Research-driven perspectives on AI simulation, innovation strategy, and market foresight.
Research-driven perspectives on AI simulation, innovation strategy, and market foresight.
Learn how AI assisted market research and AI-driven insights automate repetitive tasks, enabling teams to focus on strategy, analysis, and high-impact decisions.
Learn how AI assisted market research and AI-driven insights automate repetitive tasks, enabling teams to focus on strategy, analysis, and high-impact decisions.
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With synthetic personas and AI-driven simulations, teams can test concepts, explore future scenarios, and generate actionable foresight while reducing time-to-market and improving product market fit.
With synthetic personas and AI-driven simulations, teams can test concepts, explore future scenarios, and generate actionable foresight while reducing time-to-market and improving product market fit.
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Evergreen Research
Foundational Research Behind AlgoVerde.
A curated selection of research underpinning AI product innovation and AI consumer insights, grounded in validated methodologies and real-world application.
A curated selection of research underpinning AI product innovation and AI consumer insights, grounded in validated methodologies and real-world application.
AI tools will play a crucial role in understanding consumer behavior and preferences.
AI tools will play a crucial role in understanding consumer behavior and preferences.
AI tools will play a crucial role in understanding consumer behavior and preferences.
James Brand, Ayelet Israeli, Donald Ngwe
James Brand, Ayelet Israeli, Donald Ngwe
A collaborative future where human creativity and AI efficiency combine to solve complex organizational challenges.
A collaborative future where human creativity and AI efficiency combine to solve complex organizational challenges.
A collaborative future where human creativity and AI efficiency combine to solve complex organizational challenges.
Leonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, Karim R. Lakhani
Leonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, Karim R. Lakhani
Introducing the concept of 'algorithmic fidelity:' AI can accurately emulate diverse human attitudes and behaviors.
Introducing the concept of 'algorithmic fidelity:' AI can accurately emulate diverse human attitudes and behaviors.
Introducing the concept of 'algorithmic fidelity:' AI can accurately emulate diverse human attitudes and behaviors.
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua Gubler, Christopher Rytting, David Wingate
Lisa P. Argyle, Ethan C. Busby, Nancy Fulda, Joshua Gubler, Christopher Rytting, David Wingate
Just as learning to ride a bike can be a challenging and sometimes painful process, so is adapting to GenAI.
Just as learning to ride a bike can be a challenging and sometimes painful process, so is adapting to GenAI.
Just as learning to ride a bike can be a challenging and sometimes painful process, so is adapting to GenAI.
Karim Lakhani
Karim Lakhani
GenAI boosts knowledge workers’ productivity and quality.
GenAI boosts knowledge workers’ productivity and quality.
GenAI boosts knowledge workers’ productivity and quality.
Fabrizio Dell’Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran Lisa Krayer, Francois Candelon, Karim R. Lakhani
Fabrizio Dell’Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran Lisa Krayer, Francois Candelon, Karim R. Lakhani
Training models to think before responding unlocks stronger, more generalizable chat intelligence.
Training models to think before responding unlocks stronger, more generalizable chat intelligence.
Training models to think before responding unlocks stronger, more generalizable chat intelligence.
AI enhances individual performance to team levels, reshaping collaboration dynamics in knowledge work.
AI enhances individual performance to team levels, reshaping collaboration dynamics in knowledge work.
AI enhances individual performance to team levels, reshaping collaboration dynamics in knowledge work.
F. Dell’Acqua, C. Ayoubi, K. Lakhani
F. Dell’Acqua, C. Ayoubi, K. Lakhani
AI doesn’t just automate work: it reshapes how knowledge workers think, decide, and create.
AI doesn’t just automate work: it reshapes how knowledge workers think, decide, and create.
AI doesn’t just automate work: it reshapes how knowledge workers think, decide, and create.
Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng, Kevin Xu
Manuel Hoffmann, Sam Boysel, Frank Nagle, Sida Peng, Kevin Xu
Structured reasoning, not just larger models, drives more reliable AI performance.
Structured reasoning, not just larger models, drives more reliable AI performance.
Structured reasoning, not just larger models, drives more reliable AI performance.
Michelle Vaccaro, Abdullah Almaatouq, Thomas Malone
Michelle Vaccaro, Abdullah Almaatouq, Thomas Malone
Discover the AI-Assisted Market Research Studies Underpinning AlgoVerde
Discover the AI-Assisted Market Research Studies Underpinning AlgoVerde
