Amidst the whirlwind of sensationalistic news about artificial intelligence, an important contribution emerges from the United States that isn't the construction (yet) of Deep Thought.
Larry Ellison, co-founder of Oracle, delivered a speech at CloudWorld in Las Vegas addressing the topic of Artificial Intelligence, unveiling Oracle's new business solutions. In one segment, he emphasized how the advent of ChatGpt and generative AI is a significant milestone.
"Today, generative AI is the most significant computer technology of all. Billions have been invested, and now it can generate text, music, images. But soon, it will do much more. It will enable the creation of software for autonomous car driving that will make them safer, and it will enable the development of drugs that were previously unthinkable. I'm confident it will improve everyone's lives," Ellison said during his speech.
When we talk about traditional AI and generative AI, we are discussing two different approaches:
Traditional AI relies on supervised learning using a dataset of input and output data, and the model learns to make predictions on new data based on this training.
Generative AI, on the other hand, is based on unsupervised learning using a dataset consisting only of input data. The model learns to generate new data that resembles the input data.
Oracle has announced that its goal is to offer a combination of traditional and generative AI, enabling Oracle Cloud applications (ERP, HCM, SCM, CX, etc.) to exponentially facilitate the work of professionals and increase revenue through process optimization.
But in practice, how can artificial intelligence be used in one's business? There are several tool suites that allow companies to:
Automate processes: By automating repetitive and low-value tasks, allowing employees to focus on more strategic activities. For example, automating code generation, product testing, and issue management.
Improve product and service quality: By enhancing the quality of IT products and services, addressing errors, identifying areas for improvement, and customizing the user experience.
Develop new products and services: By developing new data compression algorithms, creating intelligent chatbots, and numerous other applications to be implemented in new IT products or services.
But what are these suites? Here are the most famous ones:
Amazon Web Services (AWS): AWS offers a wide range of AI and machine learning services, including Amazon SageMaker for AI model development and training.
Microsoft Azure: Azure offers AI services such as Azure Machine Learning and Azure Cognitive Services for integrating AI capabilities into applications.
Google Cloud Platform (GCP): GCP provides tools like TensorFlow for AI model development, as well as machine learning and AI services.
IBM Watson: IBM Watson is known for its artificial intelligence capabilities and offers services for natural language processing (NLP), computer vision, and more.
Oracle Cloud: Oracle Cloud provides AI and machine learning services for integration into enterprise applications, such as Oracle AI Platform and Oracle Cloud Infrastructure.
Salesforce Einstein: Salesforce offers Einstein, an AI integrated into its CRM service suite for sales automation, customer service, and marketing.
SAP Leonardo: SAP offers the Leonardo platform for IoT and AI, enabling the creation of intelligent, connected applications.
HPE Haven OnDemand: Hewlett Packard Enterprise offers cloud services for data processing and advanced data analytics, including machine learning capabilities.
Dell EMC Isilon: This suite offers data storage and management solutions with data analytics and artificial intelligence capabilities.
NVIDIA: NVIDIA provides GPUs and software for deep learning model training and AI acceleration.
It's important to note that the field of AI is continuously evolving, with new tools and features being released regularly. Keeping your knowledge up to date is essential to make the most of this rapidly growing technology.
What are you waiting for to join the fray?
