Prashant Dhingra · Founder of Dataknobs
I’m Prashant Dhingra, founder of Dataknobs. I build data products and enterprise solutions with AI, generative AI and agentic systems. This is where I share the use cases, technical thinking and experience behind that work.
Read my data & AI insightsData products · Enterprise AI · Technology leadership
Founder, Dataknobs · Redmond, Washington
Professional work · Selected projects
Five examples of my work at Dataknobs, applying AI, generative AI and agentic workflows to enterprise information, analysis and decisions.
Turn calls, emails and customer interactions into structured complaint information. Detect issues, extract evidence, summarize cases and identify recurring themes to support routing and review.
Review customer interactions and case records for potential regulatory issues. Connect supporting evidence to relevant requirements and help compliance teams prioritize investigation and escalation.
Bring product, traffic, funnel and purchase signals together to explain performance. Identify customer-journey friction, examine business impact and recommend actions and experiments.
Identify applicable privacy laws, monitor changes and extract obligations around personal data. Help legal, product and data teams understand which requirements and workflows need review.
Ingest bills and laws, extract structured provisions and assess their relevance to an enterprise’s products, jurisdictions and data practices. Connect legislative information to the business context needed for legal and operational review.
Explore the ingestion approachThe question: what could this legislation mean for this particular business?
Have a similar challenge with enterprise information or workflows?
Discuss a use case with DataknobsExperience in data, engineering & AI
My career has taken me through software engineering, cloud platforms, applied machine learning and financial data products. I bring that experience to Dataknobs: connecting business priorities with architecture, product decisions and delivery.
I care about making complex capabilities easier to use, giving teams control over their systems, and learning from how products perform in practice.
Connect with me on LinkedInMS, Data Science
University of California, Berkeley
Executive MBA
Quantic School of Business and Technology
Founder
Building data products, intelligent websites and AI assistants, with governance and experimentation woven into the product approach.
Managing Director · Machine Learning & Engineering
Led machine learning and engineering work on financial data products, including earnings analysis, stock signals and natural language interfaces to data.
Data Science & Machine Learning Leader
Led applied data science and enterprise AI initiatives, including predictive maintenance, industrial use cases and cloud machine learning.
Director / Principal roles
Worked across Azure Machine Learning, Bing and SQL Server, including audience intelligence, predictive models and data platforms.
Earlier engineering and consulting work included enterprise systems and financial-services projects. In 2022–2023, I worked as CTO on supply-chain AI, including forecasting and demand sensing.
My broader experience includes data governance, privacy, cloud architecture across AWS, Azure and Google Cloud, and applications of machine learning to areas such as streamflow forecasting.
I have also written on SQL Server and contributed work on machine learning for hydrology. See my professional profile for more background.
Data, technology & AI
I share frameworks, implementation lessons and practical perspectives for leaders, product teams and engineers working with data and AI.
Product strategy, lifecycle, operating models, governance and the path from data to business value.
Read data-product insights Generative AILLMs, retrieval, prompts, evaluation and the architecture decisions behind useful generative AI applications.
Explore GenAI & LLMs Agentic AIAgent architecture, tools, memory, workflows and the controls that support reliable execution.
Explore AI agents Technology & architectureData platforms, databases, cloud systems and the tradeoffs behind technical decisions.
Explore architectureThe Dataknobs ecosystem
Alongside enterprise solutions, we build products that make AI assistants, financial research and website creation accessible to more people.
From knowledge to assistants
Create AI assistants around your knowledge and workflows. Shape their behavior, manage prompts and evaluate responses as you refine the experience.
From market data to research
A working example of financial data and AI coming together. Explore earnings, company signals and options in a connected research experience.
From content to websites
Turn prompts, articles, images and structured content into websites. Build a focused publication or a business presence around what you know.
Our broader work spans financial analysis, legal and regulatory intelligence, customer complaints, ecommerce and enterprise data products.
Discover DataknobsThe Dataknobs approach connects creation with control and experimentation.
Build websites, assistants and data products around a real need.
Apply governance, privacy, guardrails and human oversight.
Evaluate, experiment and tune the variables that affect outcomes.
Personal knowledge & experiences
I also share my personal experiences, interests and what I’m learning—from festivals and places I visit to everyday health and finance.
Personal reflections, cultural stories, celebration ideas and the traditions that connect us.
Read festival storiesTrips, photography, observations and the details I want to remember and share from places I explore.
Explore my travel blogPersonal learning and accessible reading about back care, heart health, blood pressure and everyday habits.
Read the health blogMy perspectives on investing, stock research and using financial data to ask more informed questions.
Explore the finance blogFestivals, travel and health also showcase how KreateWebsites turns personal knowledge into focused websites. The finance blog connects to Stocks Assistant and the AI capabilities behind KreateBots.
Personal experiences and educational content. Health and investing articles do not replace professional advice.
Work with Dataknobs
Bring an enterprise use case, an AI initiative or a data-product challenge. Let’s connect the business need, the technical approach and a practical path to delivery.
prashantk@dataknobs.com