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AI in Real Time: A Hands-on Learning Lab to De-Mystify Data Processes
AESP Annual Conference Attendees
Event Details
Awards 0.2 CEUs / 2 PDHs (Click for more info)
AESP is accredited by the International Association for Continuing Education and Training (IACET). AESP complies with the ANSI/IACET Standard, which is recognized internationally as a standard of excellence in instructional practices. As a result of this accreditation, AESP is authorized to issue the IACET CEU. AESP instructors disclose in advance that they have no interest in any product, service, or material discussed during the course. This information is stated orally and in the training course handbook.
YOU MUST BE REGISTERED FOR AESP'S ANNUAL CONFERENCE
TO ATTEND THIS FREE ADD-ON EVENT
Join us for an engaging, free two-hour session ahead of AESP Annual, designed to demystify AI, machine learning, and data best practices through interactive, real-world applications.
This dynamic workshop will guide participants through a custom-built, practical blueprint, that highlights the essential stages of data science, machine learning, and AI processes. You’ll work in small teams to:
- Dive into data acquisition and storage best practices.
- Learn techniques for cleansing and preparing data.
- Explore effective data visualization strategies (and avoid common pitfalls).
- Practice data analysis and uncover actionable insights.
Through hands-on exercises and collaborative activities, you’ll gain a deeper understanding of the steps involved in building and applying machine learning tools. This session is perfect for professionals looking to sharpen their skills and see how these technologies come to life in real-world contexts.
Don’t miss this opportunity to explore the full data journey and enhance your expertise in a supportive, interactive environment!
After taking this training attendees will be able to:
- Identify and describe the five stages of data best practices and their role in successful data science projects.
- Develop familiarity with the terminology and concepts of data science, artificial intelligence (AI), and machine learning to communicate effectively in the field.
- Analyze common reasons for the failure of data science projects and propose strategies to prevent and recover from such failures.
- Apply best practices in data visualization and analysis to interpret data effectively and achieve actionable insights.
Who Should Attend This Course?
This course is ideal for professionals who work with data or are interested in leveraging data science, AI, and machine learning to drive better outcomes. Whether you're a beginner seeking foundational knowledge or a seasoned professional looking to refine your skills, this session offers valuable insights and practical applications.
Recommended for:
- Data analysts, scientists, and engineers
- Project managers and team leads overseeing data-driven initiatives
- IT and technology professionals
- Business professionals exploring AI and machine learning opportunities
- Anyone curious about applying data science to solve real-world challenges
If you’re eager to understand the principles of data best practices, enhance your visualization and analysis skills, or learn how to avoid common pitfalls in data projects, this course is for you!
Instructors
Brent Sitterly
Chief Data Scientist + CEO, Fixed Point Analytics
For the last 10 years Brent has used technology and data science to analyze and assist companies in making decisions across industries such finance, academia, and marketing. Brent holds a master's degree in applied math with a focus on stochastic modeling and is a veteran of the U.S. Navy.
Prior to Fixed Point Analytics, Brent worked as a financial quant for institutional investors on Wall Street, was an analyst at a large advertising tech firm.
Brent currently also serves as the Chief Data Scientist for Doer/Maker, a woman-owned marketing and advertising firm focused exclusively in energy and sustainability.
His extensive background in computer systems makes him platform agnostic when it comes to analytics and data products. Brent has developed complex models in R, Matlab, Python and designed interactive dashboards in R along with D3.js for visualizations. Additionally, he is well versed in data platforms including: Google Analytics, Doubleclick, Adwords, Data Studio, and Big Query, Webtrends, Salesforce, Tableaux, and Power BI.
Ashley Santor
Founder + CEO, DoerMaker
With more than fifteen years in marketing, Ashley Santor brings a depth of experience and expertise to Doer/Maker and the clients we serve. As the strategic lead, Ashley inspires teams of creative, media, and management professionals to create marketing programs and platforms that break through to the target audience and generate real business results. Doer/Maker is a WBENC certified woman-owned creative marketing agency with a specialization in energy and sustainability. They have worked with utilities, global manufacturers, and product companies; software-as-a-service (SaaS) companies; state agencies; and other sustainable and energy-focused companies to solve problems and make the impossible possible.
Doer/Maker’s work with utilities includes Consolidated Edison (Con Edison), National Grid, PECO, Delmarva, Atlantic City Electric, Pepco, Ameren IL, and ComEd to deliver energy efficiency programs, make digital tools more accessible, communicate complex value propositions like demand response programs, communicate with equity and empathy to vulnerable customers in need, and build and nurture relationships with trade allies and market actors.
The Doer/Maker team has been delivering residential, trade ally, and commercial energy efficiency, new energy solutions, and brand communications for utilities for the past 15 years.