Today's companies require AI solutions to help them innovate, evaluate business conditions, and offer new customer experiences. Companies often face challenges in implementing AI solutions, including difficulty training models and a scarcity of data scientists. Oracle can help. Oracle's AI products include integrated suites that integrate with other applications as well as an autonomous, secure infrastructure that can be used to provide companies with a world-class AI solution. Oracle AI solutions allow companies to transform their businesses and create more value with AI.
OCI Anomaly Detection
Oracle Artificial Intelligence Anomaly Detection allows companies to detect and investigate AI issues and improve business processes. The service offers insight into unanticipated changes in model performance as well as data cleansing. This feature is available in the Always Free tier on Oracle Cloud Infrastructure. It helps businesses to monitor, measure, and manage large volumes of time series data. Oracle Anomaly Detection provides valuable tools for anyone who needs to create a predictive model or analyze large sets of data.
Anomaly Detection uses advanced algorithms to identify abnormalities, and then recommends actions based upon those predictions. This service can be used for streaming or static data. Oracle Analytics Cloud also supports anomaly detection. OCI Anomaly Detection is available for enterprise customers with multiple data sources. Oracle AI Anomaly Detection can be downloaded for free.
OCI Speech
OCI Speech is an Oracle service for automated speech recognition that interprets unstructured text, and then translates it into understandable text. It can also be used to deliver in-workflow closed captions and enhance audio and video content analytics. The platform analyzes audio and video content to determine sentiment and churn. It supports English as well Spanish and Portuguese. OCI Speech lets you transcribe customer conversations and provide training opportunities to your staff.
Developers can create speech transcriptions using the OCI Speech service. This API supports Python and Java SDKs. Developers can use an API call to Speech to create a transcription request for any audio/video file. Speech retrieves the audio file from Object Storage and feeds it to pretrained models. It then creates a JSON document based upon the transcription. It also has an automatic profanity filter, and confidence scores for transcription.
OCI Vision
The Oracle Artificial Intelligence vision service allows you to create computer vision models that are trained to recognize text, images, and tables. This technology uses deep learning models to recognize objects in documents, extract the text, and manage model infrastructure. You can train custom models or use prebuilt models. This will allow you to build sophisticated computer vision systems for your company. Additionally, you can automate back-office processes through the identification of tables and classification of documents.
OCI Vision includes pre-trained computervision models that can detect objects and extract text from images. These models can be extended to support specific use cases, including defect detection and custom document processing. OCI Vision provides a software toolkit (SDK) to enable developers to create labelled datasets. This service allows users the ability to add labels directly to data using user interfaces. There are many other applications available for businesses who require computer vision technology.
Oraichain
Oraichain, an AI-powered data oracle, is the latest blockchain project. It connects artificial intelligence APIs to regular applications and smart contracts. It also seeks to bridge blockchain technology with AI. Oraichain’s ecosystem includes a Dapp hosting, training and publishing services, and a Data Hub. These services offer access to crowdsourced information from AI APIs that can then be used for dApps.
Oraichain provides a test-case system for evaluating the quality and reliability of AI services. Test cases help users and AI providers assess the quality of AI services on the blockchain network. Third-party test case providers are able to join the network and examine specific AI models in order to determine their suitability for the blockchain network. To allow users to compare actual results with the expected outputs, test case providers can also be added to the network. AI providers should encourage test case providers and other providers to provide high-quality services.
FAQ
Are there any AI-related risks?
Yes. They always will. AI is a significant threat to society, according to some experts. Others argue that AI has many benefits and is essential to improving quality of human life.
AI's misuse potential is the greatest concern. The potential for AI to become too powerful could result in dangerous outcomes. This includes things like autonomous weapons and robot overlords.
AI could take over jobs. Many people worry that robots may replace workers. Others think artificial intelligence could let workers concentrate on other aspects.
For example, some economists predict that automation may increase productivity while decreasing unemployment.
Is Alexa an Artificial Intelligence?
Yes. But not quite yet.
Amazon's Alexa voice service is cloud-based. It allows users interact with devices by speaking.
The technology behind Alexa was first released as part of the Echo smart speaker. Since then, many companies have created their own versions using similar technologies.
These include Google Home as well as Apple's Siri and Microsoft Cortana.
What is AI used today?
Artificial intelligence (AI), also known as machine learning and natural language processing, is a umbrella term that encompasses autonomous agents, neural network, expert systems, machine learning, and other related technologies. It's also called smart machines.
Alan Turing was the one who wrote the first computer programs. He was interested in whether computers could think. He presented a test of artificial intelligence in his paper "Computing Machinery and Intelligence." The test asks whether a computer program is capable of having a conversation between a human and a computer.
John McCarthy in 1956 introduced artificial intelligence. He coined "artificial Intelligence", the term he used to describe it.
There are many AI-based technologies available today. Some are easy and simple to use while others can be more difficult to implement. These include voice recognition software and self-driving cars.
There are two main types of AI: rule-based AI and statistical AI. Rule-based uses logic for making decisions. A bank account balance could be calculated by rules such as: If the amount is $10 or greater, withdraw $5 and if it is less, deposit $1. Statistics are used for making decisions. For example, a weather prediction might use historical data in order to predict what the next step will be.
How does AI work?
You need to be familiar with basic computing principles in order to understand the workings of AI.
Computers store data in memory. They process information based on programs written in code. The code tells computers what to do next.
An algorithm refers to a set of instructions that tells a computer how it should perform a certain task. These algorithms are usually written as code.
An algorithm can be considered a recipe. A recipe can include ingredients and steps. Each step might be an instruction. For example, one instruction might read "add water into the pot" while another may read "heat pot until boiling."
Statistics
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.com)
- In the first half of 2017, the company discovered and banned 300,000 terrorist-linked accounts, 95 percent of which were found by non-human, artificially intelligent machines. (builtin.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
External Links
How To
How to build an AI program
To build a simple AI program, you'll need to know how to code. There are many programming languages to choose from, but Python is our preferred choice because of its simplicity and the abundance of online resources, like YouTube videos, courses and tutorials.
Here's a brief tutorial on how you can set up a simple project called "Hello World".
You will first need to create a new file. You can do this by pressing Ctrl+N for Windows and Command+N for Macs.
In the box, enter hello world. To save the file, press Enter.
Now press F5 for the program to start.
The program should say "Hello World!"
This is only the beginning. These tutorials will help you create a more complex program.