Explore the economic implications of emerging technologies and data in this keynote address from the Gartner Data and Analytics Summit. Delve into the indicators and economic phase shifts associated with geospatial data and large language models for AI. Examine concepts such as economic potential changes, digital twins, sustainability, and the impact of Chat GPT. Learn about the importance of prompt engineering, new skills required in the AI era, and the potential for new value creation. Gain insights into the interconnectedness of physical and digital worlds, and understand how disruption can lead to significant economic changes. Consider the readiness of industries for these transformations and the secondary effects they may bring.
Overview
Syllabus
Introduction
Economic Systems
Economic Potential Changes
Milestones vs Moments
Time Series Data
Star Trek
Digital demands time
Economic potential in clinical trials
Avoid worst practices
Follow the path
Physical things can be reduced to data
Digital twin of the Earth
Sustainability
Tracemark
BMW
Global Physical World Data
Economic Potential Will Change
Krakatoa Explosion
Change through disruption
Chat GPT
Economic Potential
Are we ready
New skills
Ask the right question
Prompt engineering
Prompt leakage
New value and outcomes
Langchain
Lean in
Patterns
Secondary Effects
Taught by
Gartner
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Reviews
5.0 rating, based on 1 Class Central review
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This is the first time I have attended a class in this format and wondered how effective it would be. It was very effective and therefore I would definitely be interested in attending other classes in the same format. The instructor was very knowledgeable and provided a wealth of information about the current version, especially since the last version I used was several releases ago.
