Companies need AI solutions today to accelerate innovation, assess business conditions and provide new customer experiences. Implementation challenges are common for many companies, such as a shortage in data science talent and difficulty training models on business data. 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 enable companies to use AI to transform their business and create more value.
OCI Anomaly Detection
The Oracle Artificial Intelligence Anomaly Detection service enables enterprises to detect and investigate AI-related issues and improve their business processes. The service offers insight into unanticipated changes in model performance as well as data cleansing. This feature is only available for the Always Free Tier of Oracle Cloud Infrastructure. It helps businesses to monitor, measure, and manage large volumes of time series data. Whether you're building a predictive model or analyzing a large data set, Oracle Anomaly Detection is a valuable tool.
Anomaly-Detection is an online service that uses sophisticated algorithms to identify abnormalities. The algorithm then recommends actions, based on the predictions. This service can be used for streaming or static data. Oracle Analytics Cloud supports anomaly detection. OCI Anomaly Detection for enterprise customers is available for those who have multiple data sources. Get Oracle AI Anomaly Detection for free.
OCI Speech
OCI Speech, an Oracle product, is an automated speech recognition system that recognizes text in unstructured form and converts it into text. It can also be used in-workflow to provide closed captions and improve audio and video content analysis. The platform can analyze audio- and video content for sentiment or churn. It is available in English, Spanish, Portuguese, and other languages. You can use OCI Speech to transcribe customer calls and identify training opportunities for your staff.
Developers are able to create speech transcripts using Oracle Cloud Infrastructure by using OCI Speech. The API supports Python as well as Java SDKs. Developers can use an API call to Speech to create a transcription request for any audio/video file. Speech retrieves an audio file from Object Storage, and then feeds it to pretrained models. The transcription is then used to generate a JSON text file. The system has an automatic profanity detector and transcription confidence scores.
OCI Vision
Oracle Artificial Intelligence vision software allows you to create computer-vision models that are trained to recognize text, images and tables. This technology uses deeplearning models to locate objects in documents, extract information, and manage the infrastructure of the model. Prebuilt models are available, as well as the ability to train custom model. This allows you to create advanced computer vision systems that will work for your business. Additionally, you can automate back-office processes through the identification of tables and classification of documents.
OCI Vision offers pre-trained computer-vision models that can detect and extract text in images. These models can be modified to suit specific needs, including custom document processing or defect detection. OCI Vision also offers the software development kit, (SDK), to allow developers to create labels for their datasets. Users can apply labels to data using user interfaces. It also contains a variety other applications for companies that require computer-vision technology.
Oraichain
Oraichain is an AI-powered data Oracle. It connects regular applications and smart agreements to artificial intelligence APIs. It also seeks to bridge blockchain technology with AI. Oraichain's core ecosystem includes a data hub and a publishing and training service. Dapp Hosting is also included. These services offer access to crowdsourced information from AI APIs that can then be used for dApps.
Oraichain has a test case program that can be used to determine the quality services. AI providers and users alike can use test case systems to help them evaluate the quality service offered by the blockchain network. Third-party test case providers can join the network, examining specific AI models to determine whether they are fit for use on the blockchain network. They can also provide expected outputs for AI models to enable them to be compared to actual results. AI providers are encouraged to provide the best-quality services by test case providers.
FAQ
What are some examples of AI applications?
AI can be used in many areas including finance, healthcare and manufacturing. Here are just a few examples:
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Finance – AI is already helping banks detect fraud. AI can scan millions upon millions of transactions per day to flag suspicious activity.
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Healthcare - AI can be used to spot cancerous cells and diagnose diseases.
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Manufacturing - AI in factories is used to increase efficiency, and decrease costs.
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Transportation - Self-driving cars have been tested successfully in California. They are now being trialed across the world.
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Utilities use AI to monitor patterns of power consumption.
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Education - AI is being used for educational purposes. Students can interact with robots by using their smartphones.
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Government - AI can be used within government to track terrorists, criminals, or missing people.
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Law Enforcement – AI is being utilized as part of police investigation. Detectives can search databases containing thousands of hours of CCTV footage.
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Defense - AI is being used both offensively and defensively. An AI system can be used to hack into enemy systems. Protect military bases from cyber attacks with AI.
Is Alexa an artificial intelligence?
Yes. But not quite yet.
Amazon's Alexa voice service is cloud-based. It allows users speak to interact with other devices.
First, the Echo smart speaker released Alexa technology. Other companies have since created their own versions with similar technology.
These include Google Home as well as Apple's Siri and Microsoft Cortana.
Which industries are using AI most?
The automotive industry is among the first adopters of AI. BMW AG uses AI as a diagnostic tool for car problems; Ford Motor Company uses AI when developing self-driving cars; General Motors uses AI with its autonomous vehicle fleet.
Other AI industries include banking and insurance, healthcare, retail, telecommunications and transportation, as well as utilities.
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 known by the term smart machines.
Alan Turing was the one who wrote the first computer programs. He was curious about whether computers could think. He suggested an artificial intelligence test in "Computing Machinery and Intelligence," his paper. The test seeks to determine if a computer programme can communicate with a human.
John McCarthy introduced artificial intelligence in 1956 and created the term "artificial Intelligence" through his article "Artificial Intelligence".
There are many AI-based technologies available today. Some are simple and straightforward, while others require more effort. They range from voice recognition software to self-driving cars.
There are two main categories of AI: rule-based and statistical. Rule-based uses logic to make decisions. For example, a bank balance would be calculated as follows: If it has $10 or more, withdraw $5. If it has less than $10, deposit $1. Statistics are used to make decisions. A weather forecast might use historical data to predict the future.
How will governments regulate AI?
The government is already trying to regulate AI but it needs to be done better. They must ensure that individuals have control over how their data is used. They must also ensure that AI is not used for unethical purposes by companies.
They also need to ensure that we're not creating an unfair playing field between different types of businesses. You should not be restricted from using AI for your small business, even if it's a business owner.
Statistics
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (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)
- By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
- 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)
- 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)
External Links
How To
How do I start using AI?
You can use artificial intelligence by creating algorithms that learn from past mistakes. This can be used to improve your future decisions.
You could, for example, add a feature that suggests words to complete your sentence if you are writing a text message. It would analyze your past messages to suggest similar phrases that you could choose from.
To make sure that the system understands what you want it to write, you will need to first train it.
Chatbots can also be created for answering your questions. So, for example, you might want to know "What time is my flight?" The bot will respond, "The next one departs at 8 AM."
Our guide will show you how to get started in machine learning.