Intelligent Data Apps: The Impact of Generative AI on Applications
Intelligent Data Apps
The Impact of Generative AI
on Applications
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The Impact of Generative AI
on Applications
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Table of Contents
3 Understanding Intelligent Data Apps
5 Intelligent Data Apps Are the Future
6 Decoding Intelligent Data Apps
14 Overcoming the Data Sprawl
16 Adaptive Intelligence Acting in Real Time
18 Predictive Analysis and Real-Time
Decision-Making
20 Key Technologies
22 Build a Data Foundation
with Intelligent Data Apps
Table of Contents
3 Understanding Intelligent Data Apps
5 Intelligent Data Apps Are the Future
6 Decoding Intelligent Data Apps
14 Overcoming the Data Sprawl
16 Adaptive Intelligence Acting in Real Time
18 Predictive Analysis and Real-Time
Decision-Making
20 Key Technologies
22 Build a Data Foundation
with Intelligent Data Apps
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Traditional procedural apps can’t move at the new speed
of business. Here enters intelligent data apps, the next
generation of self-learning and self-adapting applications
that leverage built-in analytical and operational database
capabilities to transform and augment user experiences.
Intelligent data apps enable an adaptive customer
experience and power intelligent decision-making as they
are infused with generative AI.
To cope with rapid and disruptive change, modern business
apps must evolve from deterministic outputs into intelligent
systems. Quality data is the fuel for these intelligent apps. This
next generation of apps must deliver both hyperpersonalization
for customers and hyperoptimization for business operations
(see Figure 1).
Understanding Intelligent Data Apps
Traditional procedural apps can’t move at the new speed
of business. Here enters intelligent data apps, the next
generation of self-learning and self-adapting applications
that leverage built-in analytical and operational database
capabilities to transform and augment user experiences.
Intelligent data apps enable an adaptive customer
experience and power intelligent decision-making as they
are infused with generative AI.
To cope with rapid and disruptive change, modern business
apps must evolve from deterministic outputs into intelligent
systems. Quality data is the fuel for these intelligent apps. This
next generation of apps must deliver both hyperpersonalization
for customers and hyperoptimization for business operations
(see Figure 1).
Understanding Intelligent Data Apps
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The rise of generative AI brings new opportunities and
challenges. Embedding AI capabilities into customer-facing
and internal-only apps will become the new normal. Thus,
metadata and business context become increasingly
critical to enable hyperpersonalized user experiences.
A new wave of intelligent applications fulfills both technology
and business needs. These applications serve as scalable
vehicles to leverage generative AI, reach across the organiza-
tion, and support comprehensive governance for privacy,
compliance, and financial operations. Intelligent data apps
automate business operations for hyperoptimized everyday
functions and deliver new customer experiences for a
hyperpersonalized touch based on data and business
processes.
Understanding Intelligent Data Apps
Figure 1: Intelligent Data Apps
All data types and sources
Enable new
customer
experiences
Unleash
business
expertise
Self-learning AI
Intelligent decision-making
Adaptive customer experiences
The rise of generative AI brings new opportunities and
challenges. Embedding AI capabilities into customer-facing
and internal-only apps will become the new normal. Thus,
metadata and business context become increasingly
critical to enable hyperpersonalized user experiences.
A new wave of intelligent applications fulfills both technology
and business needs. These applications serve as scalable
vehicles to leverage generative AI, reach across the organiza-
tion, and support comprehensive governance for privacy,
compliance, and financial operations. Intelligent data apps
automate business operations for hyperoptimized everyday
functions and deliver new customer experiences for a
hyperpersonalized touch based on data and business
processes.
Understanding Intelligent Data Apps
Figure 1: Intelligent Data Apps
All data types and sources
Enable new
customer
experiences
Unleash
business
expertise
Self-learning AI
Intelligent decision-making
Adaptive customer experiences