Intelligent Data Apps: The Impact of Generative AI on Applications
Learn how you can enable an adaptive customer experience and power intelligent decision-making with Intelligent Data Apps infused with generative AI. Atsisiųsti dokumentą
Learn how you can enable an adaptive customer experience and power intelligent decision-making with Intelligent Data Apps infused with generative AI. 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
landscape. And beyond simply combining data types, they
can apply the most advanced analytics to those combined
datasets – without creating additional data silos.
Why should we care if our apps are intelligent? In an
increasingly dynamic and data-driven business environment,
the capacity to quickly interpret vast quantities of data
and predict trends is crucial. The intelligence of these
apps translates into real-time insights for your business,
allowing for informed, tactical actions and transformed user
experiences. Intelligent data apps take on the heavy lifting
of data management and analysis, freeing you to focus on
understanding your market and make the best possible
decisions. It’s this transformative potential that sets
these apps apart and makes their intelligence matter
so profoundly.
Intelligent data apps usher in a new era of sophistication and
intuition within business software. Leveraging state-of-the-art
data science technologies such as machine learning and
a vector engine, these apps possess the capability to analyze
and interpret vast volumes of complex data swiftly and
precisely. This enables them to unearth valuable insights,
predict trends, offer tailored recommendations, and automate
decision-making processes with unparalleled efficiency and
personalized accuracy. The power of intelligent data apps
does not stop there, as their capacity to learn means the
system continues to adapt and become more efficient and
accurate over time.
Furthermore, these apps leverage multiple types of data –
structured or unstructured, local and remote, and from the
core to the edge – in an organization’s often fragmented
Intelligent Data Apps Are the Future
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can apply the most advanced analytics to those combined
datasets – without creating additional data silos.
Why should we care if our apps are intelligent? In an
increasingly dynamic and data-driven business environment,
the capacity to quickly interpret vast quantities of data
and predict trends is crucial. The intelligence of these
apps translates into real-time insights for your business,
allowing for informed, tactical actions and transformed user
experiences. Intelligent data apps take on the heavy lifting
of data management and analysis, freeing you to focus on
understanding your market and make the best possible
decisions. It’s this transformative potential that sets
these apps apart and makes their intelligence matter
so profoundly.
Intelligent data apps usher in a new era of sophistication and
intuition within business software. Leveraging state-of-the-art
data science technologies such as machine learning and
a vector engine, these apps possess the capability to analyze
and interpret vast volumes of complex data swiftly and
precisely. This enables them to unearth valuable insights,
predict trends, offer tailored recommendations, and automate
decision-making processes with unparalleled efficiency and
personalized accuracy. The power of intelligent data apps
does not stop there, as their capacity to learn means the
system continues to adapt and become more efficient and
accurate over time.
Furthermore, these apps leverage multiple types of data –
structured or unstructured, local and remote, and from the
core to the edge – in an organization’s often fragmented
Intelligent Data Apps Are the Future
5 / 23