Todd Morley

Todd Morley Email and Phone Number

President @ Demand Continuum AI
Denver, CO, US
Todd Morley's Location
Denver Metropolitan Area, United States
About Todd Morley

Stanford-educated AI/ML leader and chief data scientist. Hands-on servant leader expert in • leading AI/machine learning (ML) digital transformation, vision, strategy, and roadmap• leading cutting-edge AI/ML development using technologies such as generative AI and best practices such as MLOps, dataOps, devOps, agile software-development lifecycle (SDLC), and continuous improvement to solve complex business problems and help businesses pivot to data-driven decisions• innovating best-in-class AI products that contribute measurably to bottom-line growth• driving actionable insights and recommendations that enable optimal decisions.Notable recent accomplishments:• Delivered a patent-pending analytics as a service (AaaS) product incorporating LLM-based natural language processing (NLP), classical ML, and robust statistics in two months.• Delivered web-scale LLM-based NLP AaaS product MVP in six months (one month ahead of schedule).• Modernized NLP and event and image processing AI to drive revenue growth for four software products at a leading medical-technology security provider.technology strategy | leadership | hiring | engineering management | R&D | deep learning | fine tuning | generative AI | LLMs | graphical models | NLP | natural language understanding | decision support | computer vision | reinforcement learning | transformers | responsible AI | AI transparency | explainable AI | casual modeling | data privacy and security | data visualization | data engineering | model maintenance, validation, and verification | anomaly detection | hierarchical Bayesian modeling | forecasting | high-dimensional statistics | mathematical optimization | algorithms | mathematics | computer science | risk analysis | semi-supervised learning | sequence modeling | simulation | statistical modeling | supervised learning | time-series modeling | unsupervised learning | A/B testing | experimental design | hypothesis testing | sampling | AaaS | data as a service (DaaS) | cloud computing and cloud services (AWS) | elastic computing | microservices | serverless | data warehousing | ETL | MDM | C++ | Python | R | SQL | Keras | NumPy | PyTorch | SciKit Learn | TensorFlow | LangChain | Athena | Hadoop | MongoDB | Neo4J | noSQL | Oracle | Snowflake | SQL Server | Teradata | software architecture, reliability, scalability, and performance optimization | design patterns

Todd Morley's Current Company Details
Demand Continuum AI

Demand Continuum Ai

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President
Denver, CO, US
Todd Morley Work Experience Details
  • Demand Continuum Ai
    President
    Demand Continuum Ai
    Denver, Co, Us
  • Stockiq Technologies
    Distinguished (Chief) Data Scientist
    Stockiq Technologies Feb 2024 - Present
    Arvada, Colorado, United States
    Report to the CEO. Lead development of supply-chain optimization models.
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  • Fenris Digital
    Technical Advisor
    Fenris Digital Nov 2023 - Present
    Boulder, Colorado, United States
    Advise Fenris about AI/ML. Design and prototype (AaaS) capabilities and internal analytics.
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  • Abacus Data Science
    Chief Data Scientist
    Abacus Data Science Jan 2023 - Present
    Denver, Colorado, United States
    Provide AI, data-science and data-engineering consulting services.• Developed in two months an AaaS product combining LLM-based NLP, firmographic and sociodemographic modeling, geospatial analysis, and classical ML to calculate 80M inferences per day.• Developed a transformer model to optimize commodity-pricing and sales-timing decisions for a $12B corporation.• Provided strategic guidance that let a seed-stage AI startup define and develop its first product.
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  • Weav.Ai
    Chief Data Scientist (Vp)
    Weav.Ai Feb 2023 - Aug 2023
    Denver, Colorado, United States
    Defined AI and AutoML vision, strategy, and roadmap. Managed data science and ML engineering. • Defined AI and autoML vision, strategy, and roadmap using generative AI for autoML.• Delivered six bespoke marketing-mix and sales-funnel optimization models and related autoML.• Delivered a working autoML prototype.(Position eliminated as part of broad, financially motivated layoffs.)
  • Ipsos Public Affairs
    Chief Data Scientist (Svp)
    Ipsos Public Affairs Jul 2022 - Jan 2023
    Denver, Colorado, United States
    Managed an AI/ML center of excellence (COE) comprised of 30 globally dispersed data scientists, ML engineers, statistical programmers, and project and quality managers fulfilling multiple research contracts and developing Ipsos’ first AI/ML product using large language models (LLMs) and other natural-language processing (NLP) tools to analyze very high document volumes in near real time. • Created Ipsos’ first AI product and product-development organization to create a new, highly profitable revenue source and transform Ipsos’ business model.• Organized functional teams, agile processes, and online KPI and project monitoring that established budgeting and deadline discipline and dramatically reduced fire drills.• Delivered minimum viable product (MVP) one month early.(Position eliminated as part of broad, financially motivated layoffs.)
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  • Imprivata
    Chief Data Scientist
    Imprivata Oct 2020 - Jun 2022
    Denver, Colorado, United States
    Managed AI/ML COE. Collaborated with product management to lead AI strategy. Evaluated acquisition targets. Built and operated complex-event processing AI employing large language models (LLMs), deep-learning and graphical models, data programming, and other cutting-edge techniques to interpret billions of complex events per day.• Delivered inference pipeline that increased scalability by two orders of magnitude while approaching four-nines reliability.• Delivered a biometrics model having near-perfect accuracy.• Halved the flagship AI product’s false-positive rate while doubling its true-positive rate. • Delivered a named-entity recognition (NER) model surpassing published SOTA accuracy.
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  • Medtronic
    Director Of Data Science
    Medtronic Jan 2018 - Oct 2020
    Boulder, Colorado
    Led AI/ML strategy for the world’s largest med-tech corporation. Evaluated acquisition targets. Defined, evangelized, prioritized, and led innovative AI pilot projects. • Organized and led an enterprise-wide working group that drafted Medtronic’s first AI strategy.• Presented to the C suite, board, World Bank, internal technical, conferences, and Congressional committees on AI strategy, AI/ML techniques, and AI bias.• Designed patent-pending AI applying deep learning to cancer identification.• Led a manufacturing AI pilot project that would reduce scrap losses by millions per year.• Nominated “Medtronic Technical Contributor of the Year.”
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  • Alteryx
    Director Of Analytics Products
    Alteryx Aug 2016 - Nov 2017
    Broomfield, Co
    Built and managed Alteryx’s first data-science team and led AI/ML and autoML strategy. • Collaborated with executives and HR to define Alteryx’s data-scientist career ladder.• Modernized over 50 legacy data-science tools, eliminating years of technical debt.• Designed an autoML framework for matching customer business problems to Alteryx solutions.
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  • Teradata
    Chief Data Scientist, Early-Warning Systems
    Teradata Mar 2015 - Aug 2016
    Denver, Colorado
    Supervised AI consulting for the western U.S. Defined engagement methodologies. Collaborated with clients and project leads to draft proposals and translate business needs into technical deliverables.• Mentored and trained junior consultants in AI best practices and design patterns.• Designed and prototyped an AI-delivery platform and a manufacturing autoML tool.• Turned around failing marketing-analytics projects for several national online retailers, delivering high-reliability inference pipelines, doubling execution efficiency, and achieving near-perfect predictive accuracy.
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  • Mosaic Data Science
    Chief Data Officer (Svp)
    Mosaic Data Science Jan 2014 - Mar 2015
    Co-founded Mosaic’s commercial consulting practice. Developed and managed partnerships in banking, healthcare, marketing, manufacturing, and software development. • Won Mosaic’s first Fortune-100 contract (with ExxonMobil).• Co-authored four AI/ML patent applications on recommendation systems.• Drafted proposals and managed projects in numerous industries and business functions.
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  • Clear Peak
    Principal Data Scientist
    Clear Peak Jan 2012 - Dec 2013
    Denver, Colorado, United States
    Established Clear Peak’s data-science consulting practice. Led the data-architecture practice.• Led data-science consulting projects delivering marketing analytics in the entertainment industry. • Designed an enterprise data warehouse for a Fortune 200 medical-products distributor.• Delivered 10-times ROI consulting result to a retail bank’s CIO.
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  • Pitney Bowes
    Enterprise Data Architect
    Pitney Bowes Jan 2010 - Dec 2011
    Boulder, Colorado, United States
    Led data architecture for all products and the enterprise data warehouse. Designed data-science models.• Trained engineering teams in lean engineering.• Reviewed product data architectures.• Designed a catastrophic-risk model of hurricane hazards for the eastern United States.
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  • Pitney Bowes
    Application Architect, Software-Development Manager
    Pitney Bowes Jan 2007 - Dec 2009
    Boulder, Colorado, United States
    Built a 60-person engineering organization. Led it in modernizing a legacy analytics-software product suite comprised of 4.5 million lines of C++, preserving a $20M revenue stream for many years.• Ported from 32 to 64 bits, and from extended ASCII to Unicode.• Modernized and enhanced a collection of streaming-analytics algorithms.• Identified and eliminated over 600 severity-one server bugs.
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Todd Morley Education Details

Frequently Asked Questions about Todd Morley

What company does Todd Morley work for?

Todd Morley works for Demand Continuum Ai

What is Todd Morley's role at the current company?

Todd Morley's current role is President.

What schools did Todd Morley attend?

Todd Morley attended Stanford University, Brigham Young University Marriott School Of Business, Brigham Young University.

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