Ed Wiley, Phd

Ed Wiley, Phd Email and Phone Number

Consultant: Data, BI and Analytics, Machine Learning, Traditional and Generative AI @ Ed Wiley, LLC
Boulder, CO, US
Ed Wiley, Phd's Location
Boulder, Colorado, United States, United States
About Ed Wiley, Phd

Ed Wiley is a high-visibility senior executive with >25 years of building, leading, and advising world-class machine learning, AI, and data science teams & projects at companies at stages from startup to Fortune 50. An active member of the AI & data science communities, Ed regularly presents at national and international conferences and workshops. Key professional experiences include:⇒ Built and led the first Data Science practice as Chief Data Scientist at Sears Holdings (NASDAQ: SHLD)⇒ Built and led the first Big Data practice at Seagate Technology (NASDAQ: STX)⇒ Created and delivered Udacity's "Data Science for Business Leaders" executive program ⇒ Author of forthcoming (Q2 2024) book "AI: From Buzzword to Business Function. A Leader's Playbook for Bringing AI, Machine Learning, and Data Science to your Business"⇒ McKinsey-trained business strategist and executive consultant⇒ Stanford-educated Ph.D. Statistician/Data Scientist⇒ Chair, Research & Evaluation Methodology doctoral program at U. of Colorado⇒ Advisor to federal governmental agencies/projects in Colombia, Germany, and U.S. ⇒ Track record of successful delivery of production, enterprise-scale data/analytics productsFew careers in AI have been as long and varied as Ed's. Ed has worked with AI as a doctoral researcher, as a McKinsey consultant, as a Fortune 50 executive, as a professor and doctoral program Chair, as a partner with the DEA and other federal agencies, and as a founder and executive in multiple startups. Ed and his teams have wrestled with the thorny issues of using AI across countless contexts. He knows what's critical to consider in building an AI practice or executing an AI project, and also helps guard against missteps and pitfalls that doom your AI efforts. After working with AI across such varied contexts, Ed knows what to do - and what NOT to do - when working with AI.Ed's "3 P's" framework for bringing AI to the business specifically focuses on the People, Platform, and Processes necessary for a world-class AI function:--People (identifying roles for which to hire; recruiting, developing and retaining talent)--Platform (optimizing data access/storage; machine learning platform; cloud vs. on prem; includes 'Build vs. Buy')--Processes (driving AI initiatives and teams as part of software development; organizing the AI practice w/in the business)Contact Ed to schedule time to discuss incorporating AI into your business.

Ed Wiley, Phd's Current Company Details
Ed Wiley, LLC

Ed Wiley, Llc

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Consultant: Data, BI and Analytics, Machine Learning, Traditional and Generative AI
Boulder, CO, US
Ed Wiley, Phd Work Experience Details
  • Ed Wiley, Llc
    Consultant: Data, Bi And Analytics, Machine Learning, Traditional And Generative Ai
    Ed Wiley, Llc
    Boulder, Co, Us
  • Ed Wiley, Llc
    Artificial Intelligence Consulting & Ventures
    Ed Wiley, Llc 2019 - Present
    My LLC represents the formal home for my consulting practice – a professional services practice that has encompassed my work with over 50 national and international, public and private sector organizations over the past 25 years. I focus on building and growing AI practices in the business; a sample of recent engagements include:-> Data & Analytics strategy for a $6B footwear and apparel retailer-> BI strategy for a $5B consumer packaged goods company-> Machine Learning strategy for a $23B national telecommunications company-> CEO advisory on Machine Learning strategy for $3.5B logistics and ecommerce company-> Machine Learning strategy for a $40B international manufacturing leader
  • Highpoint Associates
    Practice Lead - Artificial Intelligence, Data Science, & Machine Learning
    Highpoint Associates Jul 2020 - Present
    El Segundo, California, Us
    -> Lead professional services' firm practice in Data Science and AI. -> Counsel leading companies on strategy and organizational issues associated with developing and advanced data science, machine learning, and artificial intelligence initiatives.
  • Udacity
    Course Creator & Lead Instructor - Generative Ai For Business Leaders Executive Program
    Udacity Aug 2023 - Present
    Mountain View, California, Us
    -> Created all content and curriculum for Generative AI for Business Leaders Executive Program-> Course Instructor for all lessons of Generative AI for Business Leaders Executive Program -> Introduction to Generative AI -> How to think about Generative AI from a business perspective -> Launching Generative AI in your business -> People - Ensuring you have the right human capital for Generative AI adoption -> Processes - Readying the business for Generative AI adoption -> Platforms - Implementing Enterprise Generative AI Solutions: Generative AI Architecture
  • Maro
    Technical Advisor
    Maro Dec 2020 - Present
    Bozeman, Montana, Us
    Maro is eliminating the 11-year gap between first symptom and first intervention in youth mental health.Maro equips teachers and parents to better implement mental health, wellness and sex education through an end-to-end platform that automates module lesson planning based on teacher time, student learning preferences and state regulation. Our robust library of original digital, evidence-based and age appropriate content allows us to provide results-driven, personalized and bite-sized learning-- meaning mental and reproductive health education is no longer “the talk” but, rather, an ongoing conversation.
  • Opsis Health
    Chief Technology Officer
    Opsis Health Sep 2021 - May 2023
    Opsis Health is a "white space" company that is revolutionizing the health of people and the planet. Using a simple smartphone scan, our breakthrough technology allows people to know the nutrients in their food today and over the long run, leading to better quality of life.
  • Enveda Biosciences
    Chief Technology Officer
    Enveda Biosciences Jun 2020 - Jan 2021
    Boulder, Co, Us
    Enveda systematically translates molecules found in medicinal plants into new solutions for human health. Our platform harnesses nature's complexity with the help of cutting-edge advancements in knowledge graphs, machine learning, and metabolomics.
  • Enveda Biosciences
    Advisor; Acting Cto
    Enveda Biosciences 2019 - Jun 2020
    Boulder, Co, Us
    Enveda is systematically translating molecules found in medicinal plants into new solutions for human health. The Enveda platform harnesses nature's complexity with the help of cutting-edge advancements in knowledge graphs, machine learning, and metabolomics.
  • Nurx
    Vice President Of Data & Machine Learning | Data Science | Artificial Intelligence
    Nurx May 2019 - Apr 2020
    New York, Ny, Us
    I led Data and Machine Learning for Nurx, a $100M+ digital health startup (YC W16) backed by Kleiner Perkins and Union Square Ventures. I was charged with developing Nurx's data and machine learning strategy and vision and putting in place the organizational structure necessary to execute on that strategy. My day-to-day tasks included a balance of collaborating with Nurx's other senior executives, recruiting and developing top machine learning and data talent, and translating our business opportunities and objectives into solutions based in data and machine learning applications.
  • Nurx
    Vice President Of Machine Learning | Data Science | Artificial Intelligence
    Nurx May 2019 - Jan 2020
    New York, Ny, Us
  • Udacity
    Course Creator & Lead Instructor - Data Science For Business Leaders Executive Program
    Udacity 2020 - 2020
    Mountain View, California, Us
    -> Course Instructor for all lessons of Data Science for Business Leaders Nanodegree-> Created all content and curriculum for all Data Science for Business Leaders Nanodegree Lessons -> Data Science Principles -> The Business Case for Data Science -> Human Capital of Data Science -> Data and Machine Learning Architecture
  • Hiro Launchdao
    Technical Advisor
    Hiro Launchdao 2020 - 2020
    Hiro LaunchDAO is the first permissionless, blockchain-based venture fund that rewards active investment in crypto projects. Hiro's founders saw the need for launchpads to integrate fully decentralized models to break down information asymmetry and to reward participation, thereby aligning the motives of investors and project founders and reducing the agency problems that plague other launchpads. Formed during the Solana Season hackathon, an international team from Germany, Pakistan, Spain, and the Unites States built a functional website with application connected to a backend with the dual token model and consensus mechanism that power Hiro.
  • Penlink
    Cio & Chief Data Scientist | Innovation, Data Science, & Artificial Intelligence
    Penlink Mar 2016 - May 2019
    Lincoln, Ne, Us
    At PenLink I built and led a newly-formed team of engineers and mathematicians who pushed the envelope of AI, data science, and visualization technologies (e.g., machine learning; deep learning; Spark; Hadoop) to support PenLink's best-in-class software offerings.
  • Pathrise
    Technical Advisor
    Pathrise 2019 - 2019
    San Francisco, California, Us
  • Triggmine
    Technical Advisor
    Triggmine 2017 - 2018
    Tallin, Ee
    Triggmine is an artificial intelligence-based email marketing automation service that helps online stores grow faster. With the help of Triggmine, even a novice business owner can send automated email campaigns at the level of professional marketing professionals.Triggmine's product connects to the online store, monitors the behavior of each customer and generates individual marketing campaigns. Thus, every online store customer receives the most personalized marketing strategy. Imagine - thousands of individual email-campaigns, including customization of content, conditions, incentives. There is no need to do anything manually or learn how to work with the system - Triggmine artificial intelligence takes only 30 minutes to analyze the data of creating marketing strategies and start sending messages.
  • Sears Holdings Corporation
    Chief Data Scientist | Data Science & Artificial Intelligence | Pricing & Marketing
    Sears Holdings Corporation 2015 - 2016
    Chicago, Il, Us
    As Chief Data Scientist I built and led a team focused on developing production-scale solutions to identify and capture $100M+ margin enhancing opportunities in the areas of pricing, offers, and other appropriate sales and marketing instruments. We used methods of modern-day artificial intelligence – e.g., machine learning, Bayesian simulation (MCMC), in-memory/distributed computing (Spark; Hadoop) – to overcome the limitations of quantitative approaches traditionally employed in pricing and marketing. As the leader of this group, I was charged with not only working with Sears' senior executive team (including CEO) to communicate our vision and strategy, but also identifying, recruiting, and retaining the data science talent critical to supporting this major initiative.
  • Seagate Technology
    Big Data Analytics Lead | Data Science
    Seagate Technology 2013 - 2015
    Fremont, Ca, Us
    As the leader of Seagate's Big Data Analytics initiative, I built and led a team of highly trained data scientists, engineers, and researchers to push the envelope of Big Data Analytics (e.g., machine learning; deep learning), primarily related to next-generation Cloud technologies (Hadoop; Spark). In this role I served as strategist, subject matter expert and external spokesperson for this newly-formed initiative within Seagate’s Data Center Operations group.
  • University Of Colorado At Boulder
    Chair And Assistant Professor: Quantitative Methods (Research & Evaluation Methodology Program)
    University Of Colorado At Boulder Aug 2004 - Aug 2011
    Boulder, Colorado, Us
    Teaching and research in basic and advanced statistical methods.Published 75+ articles & presentations. Chaired two and served on four national professional committees. Advised five state departments of education.Regularly taught five courses:1. Quantitative Methods in Educational Research I2. Basic Statistical Methods3. Latent Variable and Structural Equation Modeling4. Multi-Level (Hierarchical) Statistical Modeling (Longitudinal Data Analysis)5. Advanced Topics in Applied Statistics (Logistic Regression, Local Regression Modeling)
  • Mckinsey & Company
    Senior Associate Management Consultant
    Mckinsey & Company Aug 2001 - Dec 2004
    Us
    Client engagements primarily in (1) institutional investment; (2) professional services; and (3) public sector: (1) Served North American and European institutional investor clients (from C-level executives to individual portfolio managers) on issues of policy, organization/governance, and investment/risk strategy. (2) Served global professional services clients on issues of pricing, organization, and operations.(3) Served state (California), local (Bay Area), and public and private educational organizations on issues of strategy.Functional expertise includes pricing and strategy; risk-based pricing; alternative investment (private equity, venture capital, hedge funds, and natural resources)
  • Data Science Leaders Network
    Workshop Leader: Designing And Building A Data Science Team
    Data Science Leaders Network 2000 - 2000
    Creating and growing a successful team in the current competitive hiring market can be a challenge. Learn valuable hiring strategies from creating the perfect job description right through creating career pathways to keep your data scientists engaged.This session also explores best practices for evaluating talent and offer interesting interviews techniques when under time constraints. You will equally have the opportunity to compare different team models to establish the best fit for your company.
  • Nebraska Coalition For Educational Equity And Adequacy V. Heineman
    Expert Witness (Psychometrics; Educational Policy; Statistics; Assessment)
    Nebraska Coalition For Educational Equity And Adequacy V. Heineman 2000 - 2000
    Expert witness (student assessment; psychometrics) for plaintiff in constitutional challenge to Nebraska's education funding system.
  • 4X24 Executive Leadership Program - Big Data/Analytics
    Workshop Keynote
    4X24 Executive Leadership Program - Big Data/Analytics 2000 - 2000
    The 4x24 Big Data/Analytics group engages executives-of-consequence in a thoughtful dialogue on the direction and impact of federal government policies and procedures. Additionally , we address the role of the private sector in shaping these actions.

Ed Wiley, Phd Skills

Statistical Modeling Sas Statistics Data Mining Analytics Strategy Data Analysis Spss Logistic Regression Leadership Business Strategy R Analysis Market Research Research Design Management Consulting Big Data Management Quantitative Research Survey Design Proposal Writing Quantitative Analytics Deep Learning Machine Learning Business Analytics Predictive Analytics Program Evaluation Consulting Data Science Microsoft Excel Risk Management Predictive Modeling Strategic Planning Linux Strategic Consulting Research Portfolio Management Financial Risk Quantitative Analysis Investment Strategies Cryptocurrency Statistical Learning Structural Equation Modeling Psychometrics Mathematical Modeling Statistical Consulting Hedge Funds Apache Spark Hadoop Artificial Intelligence

Ed Wiley, Phd Education Details

  • Stanford University
    Stanford University
    Statistics & Psychological Studies (Focus: Machine Learning)
  • Stanford University
    Stanford University
    Statistics
  • University Of Nebraska-Lincoln
    University Of Nebraska-Lincoln
    Quantitative And Qualitative Methods
  • University Of Nebraska-Lincoln
    University Of Nebraska-Lincoln
    Mathematics (Minors In English And Psychology)

Frequently Asked Questions about Ed Wiley, Phd

What company does Ed Wiley, Phd work for?

Ed Wiley, Phd works for Ed Wiley, Llc

What is Ed Wiley, Phd's role at the current company?

Ed Wiley, Phd's current role is Consultant: Data, BI and Analytics, Machine Learning, Traditional and Generative AI.

What is Ed Wiley, Phd's email address?

Ed Wiley, Phd's email address is ed****@****iley.ai

What is Ed Wiley, Phd's direct phone number?

Ed Wiley, Phd's direct phone number is +140242*****

What schools did Ed Wiley, Phd attend?

Ed Wiley, Phd attended Stanford University, Stanford University, University Of Nebraska-Lincoln, University Of Nebraska-Lincoln.

What are some of Ed Wiley, Phd's interests?

Ed Wiley, Phd has interest in Health.

What skills is Ed Wiley, Phd known for?

Ed Wiley, Phd has skills like Statistical Modeling, Sas, Statistics, Data Mining, Analytics, Strategy, Data Analysis, Spss, Logistic Regression, Leadership, Business Strategy, R.

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