Move at the new speed of business with intelligent data apps
Read this info sheet to learn why enterprises must evolve their business apps into intelligent systems with the capabilities to transform and augment user experiences. Dokument herunterladen
Move at the new speed
of business with intelligent data apps
Intelligent apps for complex data challenges
Challenge Solution
Growing volumes of varied data
types
Data-tiering and multi-model processing bring to-
gether all data types into one system that can analyze
and interpret your data swiftly and precisely
Poor integration across the data
landscape
The apps are designed to integrate seamlessly into
existing data architectures
LLMs lack the context needed to
provide users with relevant
answers
SAP HANA Cloud’s vector and knowledge graph en-
gines can give the right answer to a user’s LLM query
as part of an app’s natural language features
For enterprises to move at the speed of business, it’s essential they evolve their business apps from
traditional procedural outputs into intelligent systems with the capabilities to transform and augment
user experiences.
Infused with generative AI, this new generation of intelligent data apps is self-learning and self-adapting.
They can provide hyper-personalized customer experiences while also taking on the heavy lifting of data
management and analysis to help drive smarter, faster decision-making.
With intelligent data apps, you can:
Uncover insights
Analyze complex data
for hidden trends and
critical knowledge
Elevate service quality
Strengthen relationships
with personalized
customer experiences
Reduce costs
Identify unnecessary
spending caused by waste
and inefficiencies
Boost productivity
Automate repetitive tasks so employees can
focus on valuable strategic initiatives
Enhance decision-making
Leverage valuable insights to make better,
more informed decisions
of business with intelligent data apps
Intelligent apps for complex data challenges
Challenge Solution
Growing volumes of varied data
types
Data-tiering and multi-model processing bring to-
gether all data types into one system that can analyze
and interpret your data swiftly and precisely
Poor integration across the data
landscape
The apps are designed to integrate seamlessly into
existing data architectures
LLMs lack the context needed to
provide users with relevant
answers
SAP HANA Cloud’s vector and knowledge graph en-
gines can give the right answer to a user’s LLM query
as part of an app’s natural language features
For enterprises to move at the speed of business, it’s essential they evolve their business apps from
traditional procedural outputs into intelligent systems with the capabilities to transform and augment
user experiences.
Infused with generative AI, this new generation of intelligent data apps is self-learning and self-adapting.
They can provide hyper-personalized customer experiences while also taking on the heavy lifting of data
management and analysis to help drive smarter, faster decision-making.
With intelligent data apps, you can:
Uncover insights
Analyze complex data
for hidden trends and
critical knowledge
Elevate service quality
Strengthen relationships
with personalized
customer experiences
Reduce costs
Identify unnecessary
spending caused by waste
and inefficiencies
Boost productivity
Automate repetitive tasks so employees can
focus on valuable strategic initiatives
Enhance decision-making
Leverage valuable insights to make better,
more informed decisions