AI

Microsoft and Oracle Advance Generative AI Solutions for Businesses

Microsoft has introduced a new AI-powered chatbot called Security Copilot for cybersecurity professionals, while Oracle has unveiled a suite of generative AI applications designed to automate tasks for businesses across various areas.

At a glance

  • Microsoft and Oracle are both advancing in generative AI
  • Microsoft introduces Security Copilot, an AI-powered chatbot for cybersecurity
  • Security Copilot provides valuable information on security incidents and vulnerability analysis
  • Microsoft aims to simplify AI adoption with a pay-as-you-go model
  • Oracle unveils generative AI applications to automate tasks for businesses

The details

Microsoft and Oracle are both making significant advancements in the field of generative AI. Microsoft has introduced an AI-powered chatbot called Security Copilot into the cybersecurity space.

This chatbot, the industry’s first generative AI solution, will be available for cybersecurity and IT professionals through a pay-as-you-go strategy starting on April 1st.

Security Copilot, powered by ChatGPT and Microsoft’s security-specific language model, provides valuable information on security incidents, vulnerability analysis, and summaries of potential threats.

It leverages threat intelligence data gathered from security signals processed by Microsoft.

Tests conducted by Microsoft last year found that security analysts using Security Copilot were 22% faster and 7% more accurate in their work.

An overwhelming 97% of security professionals expressed their desire to use Copilot for future tasks.

Microsoft’s AI Advancements

Microsoft’s pay-as-you-go model aims to make AI tools more accessible for companies looking to integrate and scale the technology according to their specific needs.

The company’s ultimate goal is to simplify the adoption of AI, especially as more generative AI services are introduced to the market.

Oracle’s Generative AI Applications

On the other hand, Oracle has unveiled a suite of generative AI applications designed to automate tasks for businesses.

These cloud-native apps, developed based on customer feedback, are tailored to support specific use cases.

Miranda Nash, the GVP of applications development and strategy at Oracle, emphasized how these new apps empower business workflows.

The company utilizes the OCI stack for technical-based innovation and collaborates closely with partners to enhance the OCI generative AI service.

Oracle’s suite of generative AI apps covers various areas such as finance, supply chain, HR, sales, marketing, and services.

These tools, built on Oracle Cloud Infrastructure (OCI), leverage AI services to address specific use cases.

Notable features include Insight Narratives for anomaly identification, Project Program Status Summary Generation for project executive summaries, and Management Reporting Narratives for finance professionals to explain variances and trends.

Steve Miranda, executive VP of applications development at Oracle, highlighted the benefits of these new AI capabilities and emphasized that customer enterprise data is respected.

Oracle ensures that no customer data is shared with large language model providers.

Additionally, Oracle announced a collaboration expansion with Microsoft to introduce Oracle Database@Azure in five new regions, including Europe.

According to Microsoft CVP Azure Infrastructure Product and Design Erin Chapple, this database service facilitates the migration of Oracle databases to the cloud for building cloud-native applications, empowering business innovation.

Oracle strives to continuously innovate and expand its generative AI capabilities to cover all relevant languages and cultural norms, exploring new use cases with additional context.

The company’s effective feedback loop with engaged customers ensures that prompt engineering delivers reliable results at an enterprise scale.

Article X-ray


Facts attribution

This section links each of the article’s facts back to its original source.

If you suspect false information in the article, you can use this section to investigate where it came from.

aibusiness.com
– Microsoft is launching an AI-powered chatbot into the cybersecurity space
– The chatbot is called Security Copilot and is the industry’s first generative AI solution
– Security Copilot will be available for cybersecurity and IT professionals via a pay-as-you-go strategy starting April 1
– The chatbot provides information on security incidents, analyzes vulnerabilities, and offers summaries of potential threats
– Security Copilot is powered by ChatGPT and Microsoft’s security-specific language model
– The chatbot leverages threat intelligence data gathered from security signals processed by Microsoft
– Microsoft tested Security Copilot last year and found that security analysts were 22% faster and 7% more accurate when using it
– 97% of security professionals said they want to use Copilot the next time they do the same task
– Microsoft’s pay-as-you-go model is designed to make AI tools more accessible for companies to integrate and scale the tech depending on their needs
– The company aims to make it easier for everyone to confidently and securely adopt AI as more generative AI services are introduced in the market
aibusiness.com
– Oracle unveiled a suite of generative AI apps for businesses to automate tasks
– The apps are designed to support specific use cases and are cloud-native
– Miranda Nash, GVP of applications development and strategy at Oracle, discussed how the new apps empower business workflows
– 80% of the new apps came from customer feedback
– Oracle uses the OCI stack for technical-based innovation
– The company collaborates closely with partners to improve the OCI generative AI service
– Oracle aims to bring innovation every quarter to customers
– Embedded features are included in the subscription at no extra cost
– Oracle focuses on prompt engineering to provide reliable results at an enterprise scale
– The company uses past generations of smaller language models and supervised learning for classic individually-trained models
– Oracle is looking to expand to cover all relevant languages and cultural norms for customers
– The company is exploring new use cases with additional context from RAGs
– Oracle is working on earlier developments in reasoning and parallelizing models to check each other
– The infrastructure close to Oracle allows for a focus on use cases within applications
– Oracle has an effective feedback loop with engaged customers
aibusiness.com
– Oracle has announced new generative AI capabilities for businesses to use in workflows
– The suite includes tools for finance, supply chain, HR, sales, marketing, and services
– The apps are built on Oracle Cloud Infrastructure (OCI) and use AI services for specific use cases
– Insight Narratives helps identify anomalies and biases based on pattern recognition
– Project Program Status Summary Generation generates executive summaries of projects
– Management Reporting Narratives help finance professionals explain variances and trends
– Steve Miranda, executive VP of applications development at Oracle, highlighted the benefits of the new AI advancements
– Oracle emphasized that the new apps respect customers’ enterprise data
– No customer data is shared with large language model providers
– Oracle announced an agreement with Microsoft to expand its database service
– Oracle Database@Azure will be available in five new regions, including Europe
– The service helps users migrate Oracle databases to the cloud for building cloud-native applications
– Microsoft CVP Azure Infrastructure Product and Design Erin Chapple mentioned that the collaboration expansion will empower business innovation

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