Introduction
Using simple text prompts, generative AI is
revolutionizing how we use technology. This blog will explain Oracle's use of
generative AI in cloud infrastructure, business processes, and customer
experiences. Discover how Oracle democratizes generative AI for businesses
worldwide, regardless of your AI experience. Now, let's get started!
What Is Generative AI?
The term "Generative AI" (GAI)
refers to a subset of artificial intelligence (AI) machine learning
technologies that have recently gained the capacity to produce content quickly
in response to text prompts. This content can be concise and straightforward or
very long and intricate. While various generative AI tools can create original
video, image, and audio content, text-oriented conversational AI has captured
people's attention. In essence, text-trained generative AI models can converse
with people and teach them like that of human beings.
Quickly Adopt Generative AI With Oracle
Oracle is at the forefront of generative AI
development and activities and has a long history of working with artificial
intelligence capabilities and incorporating them into its products. Leading
productive AI companies use Oracle Cloud Infrastructure. Businesses can use
this next-generation cloud as the ideal platform to create and implement
customized generative AI models unique to their companies and business
segments.
All Oracle cloud data centers have
high-bandwidth, low-latency RDMA [remote direct memory access] networks,
perfect for building the massive GPU clusters required to train large-scale
generative language models. When running generative AI workloads in our Gen 2
cloud, top AI development companies choose Oracle over all other options due to
its outstanding efficiency and associated cost savings.
Making Generative AI Truly Suitable For Business
Oracle ensures you get the most out of its
generative AI features by concentrating them on the difficulties encountered in
routine tasks and workflows. While many tech companies discuss generative AI,
many must consider the end-to-end procedures required to integrate it into
regular business operations successfully. Large language models (LLMs) hosted
on Oracle Cloud Infrastructure (OCI) receive prompts that include business
context, which Oracle is integrating into these models based on a thorough understanding
of what it takes to develop software that powers businesses.
This business-oriented approach aligns with
our long-standing practice of integrating traditional AI functionalities into
Fusion Applications. Customers can use generative AI capabilities wherever and
whenever they need them as they do their daily business. Furthermore, Oracle
reassures businesses by designing each generative AI feature with security and
human review procedures in mind, as many companies are apprehensive about
utilizing generative AI.
Oracle Injects AI Into The Database
Oracle is extending the use of NVIDIA's most
potent H100 AI processors in their cloud, highlighting the networking speed and
cost benefits the cutting-edge chips bring to the Oracle cloud computing
service to give businesses access to generative AI tools. Clients are
answering: Two times as much as at the end of Oracle's fiscal fourth quarter,
AI development companies have contracts to acquire over $4 billion in training
capacity on Oracle Cloud Infrastructure (OCI).
AI Apps Innovators Program
Customers can collaborate directly with our AI
product managers, developers, and data scientists as we create new AI features
through Oracle's AI Apps Innovators Programme. As part of the program,
customers offer feedback on developing AI features and receive early access to
them for assessment before their mass release. Oracle gains from this customer
involvement because it allows us to use new AI features and quickly verify them
more frequently. Clients can get more information about how AI can benefit their
businesses and get the most out of their Oracle Cloud investment.
Future Innovations In AI And
Oracle
To improve performance for its clients in all
critical business functions (front- and back-office), Oracle will keep adding
features to its SaaS portfolio through the business software they use daily. We
are developing a fully functional AI and machine learning pipeline capability
by developing, testing, validating, and integrating our AI solutions. This will
enable our customers to realize substantial business benefits without having to
make a dedicated investment of money or resources.
Conclusion
Oracle is revolutionizing business AI. They help
businesses adopt and integrate generative AI. Oracle sets the standard for AI
development by prioritizing secure, valuable applications and real-world
problems. Their collaboration with AI Apps Innovators Programme users
accelerates AI feature development. Due to their cutting-edge cloud
infrastructure and dedication to improving SaaS, Oracle enables AI adoption by
companies of all sizes without significant investment. Oracle is increasing
AI's business value, accessibility, and usefulness.