Todd Morley Email & Phone Number
Who is Todd Morley? Overview
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Todd Morley is listed as President at Demand Continuum AI, based in Denver Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Todd Morley.
Todd Morley previously worked as Distinguished (Chief) Data Scientist at Stockiq Technologies and Technical Advisor at Fenris Digital. Todd Morley holds Phd (Abd), Industrial Engineering, 3.7 from Stanford University.
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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
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Todd Morley work experience
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Distinguished (Chief) Data Scientist
CurrentReport to the CEO. Lead development of supply-chain optimization models.
Technical Advisor
CurrentAdvise Fenris about AI/ML. Design and prototype (AaaS) capabilities and internal analytics.
Chief Data Scientist
CurrentProvide 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.
Chief Data Scientist (Vp)
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.)
Chief Data Scientist (Svp)
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.)
Chief Data Scientist
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.
Director Of Data Science
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.”
Director Of Analytics Products
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.
Chief Data Scientist, Early-Warning Systems
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.
Chief Data Officer (Svp)
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.
Principal Data Scientist
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.
Enterprise Data Architect
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.
Application Architect, Software-Development Manager
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.
Todd Morley education
Phd (Abd), Industrial Engineering, 3.7
Master Of Organizational Behavior, Business Administration, Management And Operations, 3.8
Ba, Bs (Equiv.), English, Math, 3.7
Frequently asked questions about Todd Morley
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What company does Todd Morley work for?
Todd Morley works for Demand Continuum AI.
What is Todd Morley's role at Demand Continuum AI?
Todd Morley is listed as President at Demand Continuum AI.
Where is Todd Morley based?
Todd Morley is based in Denver Metropolitan Area, United States while working with Demand Continuum AI.
What companies has Todd Morley worked for?
Todd Morley has worked for Demand Continuum Ai, Stockiq Technologies, Fenris Digital, Abacus Data Science, and Weav.Ai.
How can I contact Todd Morley?
You can use AeroLeads to view verified contact signals for Todd Morley at Demand Continuum AI, including work email, phone, and LinkedIn data when available.
What schools did Todd Morley attend?
Todd Morley holds Phd (Abd), Industrial Engineering, 3.7 from Stanford University.
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