Making Your Data and AI Ready for Business Transformation.pdf
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Jun 20, 2024
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About This Presentation
Size: 2.47 MB
Language: en
Added: Jun 20, 2024
Slides: 30 pages
Slide Content
Making Your Data and AI Ready for
Business Transformation
James Kobielus
Senior Director Of Research
for Data Management
TDWI WEBINAR
Copyright 2024 TDWI
Enterprises are using AI in their data engineering
workflows to make their data more ready for
building, training, and operationalizing AI
applications to drive better business processes.
Copyright 2024 TDWI
Digital business transformation is all-encompassing.
Copyright 2024 TDWISource: TDWI Best Practices Report, Q2 2024: ”Transforming Your Business Through AI”
What are your
organization’s top
priority outcomes
for digital business
transformation in
2024?
Copyright 2024 TDWI
Source: TDWI Best Practices Report, Q2 2024: ”Transforming Your Business Through AI”
How important is
AI as an enabler,
platform, or tool
contributing to the
success of your
organization?
AI is hugely important in digital business transformation.
Copyright 2024 TDWI
Source: TDWI Best Practices Report, Q2 2024: ”Transforming Your Business Through AI”
Data professionals are deeply involved in AI development.
What roles,
functions, and
personas is your
organization
relying on to
develop AI
apps?
Generative apps are the new enterprise AI priority.
Modern
business
depends on a
deepening
stack of AI,
advanced
analytics, and
decision
support
technologies.
Copyright 2024 TDWI
Source: TDWI Data & Analytics Survey 2024
Production
deployments still
few, but TDWI
expects
widespread
deployments in
coming years.
Source: TDWI Data & Analytics Survey 2024
Enterprises are rolling out new generative AI apps.
How is your company using generative AI?
Copyright 2024 TDWI
Copyright 2023, TDWI
•Generative AI tools, especially LLMs, are bringing prompt-driven development to ETL, master
data management, and other data engineering and governance practices.
•LLMs are automating the generation of programmatic artifacts associated with building
data science models and apps, including:
•SQL and Python code
•Synthetic data sets
•Data visualizations
•Summary statistics
•Explanations of complex data relationships
•Predictions and forecasts associated with particular data sets
•Recommendations for further data analysis
•Guidance for planning and executing data strategies, projects, and tasks
•…and so on
Gen AI is changing how data & AI are readied for biz apps.
How pivotal is AI for digital
business transformation?
Copyright 2024 TDWI
How are enterprises using AI to make
data cleansed, fit, and ready for digital
business transformation?
Copyright 2024 TDWI
What are the most important trends in the
use of AI to improve data engineering, data
governance, and master data management
processes?
Copyright 2024 TDWI
Which specific master data management
processes are most suited for
automation using AI?
Copyright 2024 TDWI
Where should data engineering and
governance professionals start in the use
of AI to accelerate and augment their
productivity?
Copyright 2024 TDWI