Home » IBM

IBM, Oracle unleash Next-Generation AI Agents to Revolutionize Business Operations

– Armonk, N.Y.

International business Machines Corporation (IBM) Today Announced a strategic collaboration with Oracle to deliver a suite of cutting-edge Artificial Intelligence (AI) agents. These agents, now available on the Oracle Fusion Applications AI Agent Marketplace, are poised to redefine operational efficiency for businesses across industries.

The partnership represents a critically important stride in agentic AI,where AI proactively assists users by automating tasks and making intelligent decisions. It aligns with a growing trend; a recent report by Gartner predicts that by 2027, AI-powered agentic platforms will automate 30% of knowledge work tasks, up from 10% in 2023.

New AI Agents for Oracle Fusion Applications

IBM Consulting has developed three initial AI agents, seamlessly integrated with Oracle AI Agent Studio. These agents are designed to streamline complex workflows and reduce manual effort.

  • Intercompany Agent: Automates the often-tedious review of intercompany agreements, ensuring compliance and accuracy.
  • Smart Sales Order Entry Agent: Accelerates the sales-order creation process by automatically populating relevant data, reducing errors and improving order fulfillment times.
  • Requisition to Contract Agent: Simplifies the conversion of purchase requisitions into legally binding contract purchase orders, minimizing delays and potential discrepancies.

“As AI agents rapidly transform enterprise applications, organizations are seeking new ways to drive productivity, agility, and innovation at scale,” said Kaushal Kurapati, Global Vice president of Product Management for Fusion AI at oracle. “These new IBM AI agents will help customers address unique business needs and drive growth.”

Neil dhar, Global Managing Partner at IBM Consulting, emphasized the synergy between the two companies. “Oracle and IBM are combining our collective expertise to help clients embrace agentic AI,” said Dhar. “These agents will bring the power of AI directly to our joint clients for maximum business impact.”

expanding the AI Ecosystem with watsonx Orchestrate

IBM is further extending its commitment to the Oracle ecosystem with plans to release additional AI agents built on IBM watsonx Orchestrate. These upcoming agents will focus on optimizing Human Resources (HR) and Supply Chain processes.

watsonx Orchestrate is an enterprise-grade AI solution that enables the development, deployment, and governance of AI agents. It is indeed designed to work seamlessly with Oracle’s own AI agent offerings, providing a multi-agent approach to automation. Red Hat OpenShift AI underpins watsonx Orchestrate, ensuring scalability and reliability.

Additionally, Oracle intends to integrate IBM granite 4.0 family of AI models into its Oracle Cloud Infrastructure Data science via AI Fast Actions, broadening the range of AI capabilities available to users.

Agent Function Technology
Intercompany Agent Automates intercompany agreement review Oracle AI Agent Studio
Smart Sales Order Entry Agent Streamlines sales order creation Oracle AI Agent Studio
Requisition to Contract Agent Simplifies requisition-to-contract conversion Oracle AI Agent Studio
Future HR Agent Optimizes HR processes IBM watsonx Orchestrate
Future Supply chain Agent enhances supply chain efficiency IBM watsonx Orchestrate

Did You Know?: The global AI market is projected to reach $1.84 trillion by 2030, with a compound annual growth rate (CAGR) of 38.1% from 2023 to 2030, according to Grand View Research.

pro Tip: When evaluating AI solutions, prioritize those that offer robust data security and compliance features, especially when dealing with sensitive business information.

For further information on the new agents for Oracle Fusion Applications and the IBM-Oracle partnership, please visit https://www.ibm.com/consulting/oracle.

The Rise of Agentic AI: A Long-Term Outlook

Agentic AI represents a paradigm shift in how businesses interact with technology. Unlike traditional AI systems that require explicit instructions, agentic AI can independently identify problems, formulate solutions, and execute tasks.This capability has the potential to unlock significant productivity gains and drive innovation across industries. The increasing demand for AI tools that can automate complex work processes is expected to continue fueling the growth of the agentic AI market. Businesses that adopt these technologies early on are likely to gain a competitive advantage in the long run.

Frequently Asked Questions

  1. What is agentic AI? Agentic AI refers to AI systems that can act independently to achieve specific goals, automating tasks and making decisions without constant human intervention.
  2. How do the new IBM agents integrate with Oracle Fusion Applications? These agents are built with Oracle AI Agent Studio, ensuring seamless integration within the Oracle Fusion Applications habitat.
  3. What are the benefits of using AI agents for intercompany agreements? AI agents automate the review process, ensuring greater accuracy, compliance, and reduced manual effort.
  4. What is IBM watsonx Orchestrate? watsonx Orchestrate is IBM’s enterprise-grade AI solution for building, deploying, and managing AI agents, powered by Red Hat OpenShift AI.
  5. What industries will benefit most from these AI agents? Businesses in finance, supply chain, HR, and sales stand to gain significant benefits from streamlining their processes with agentic AI.

What are your thoughts on the future of AI in business? Share your comments below!

How will IBM ensure data security and privacy when AI agents access and process sensitive information within Oracle Fusion Applications?

IBM Unveils AI Agents Marketplace for Oracle Fusion Applications: Enhancing Automation and Efficiency in Business Software Solutions

What are IBM AI Agents and Why Oracle Fusion?

IBM recently launched a dedicated marketplace for AI agents specifically designed too integrate with Oracle Fusion Applications. This move addresses a growing need for smart automation within enterprise resource planning (ERP) and othre critical business processes. The core idea revolves around leveraging generative AI to automate complex tasks, freeing up human employees for higher-value work.oracle Fusion Applications, a suite encompassing ERP, supply chain management (SCM), customer relationship management (CRM), and human capital management (HCM), represent a meaningful market possibility for AI-driven automation.

The integration isn’t simply about adding “AI” to existing workflows; it’s about creating autonomous processes. These AI agents,built on IBM’s watsonx platform,can understand natural language,learn from data,and execute tasks with minimal human intervention. This is a key differentiator from conventional Robotic Process Automation (RPA), which often relies on pre-defined rules and struggles with unstructured data.

Key Capabilities of the AI Agents Marketplace

The marketplace offers a range of pre-built AI agents, categorized by business function. Here’s a breakdown of some key capabilities:

* Financial Management: Automating invoice processing, reconciliation, and financial reporting.Agents can identify discrepancies, flag potential fraud, and generate insights from financial data.

* Supply Chain Optimization: Predicting demand fluctuations, optimizing inventory levels, and automating procurement processes. This includes tasks like purchase order creation and supplier dialogue.

* Human Resources: Automating employee onboarding, benefits administration, and performance management. AI agents can answer employee queries, schedule interviews, and personalize learning paths.

* Customer Service: Resolving customer inquiries, processing orders, and providing personalized recommendations. Agents can integrate with existing CRM systems to deliver a seamless customer experience.

* Sales Automation: Lead qualification, opportunity management, and sales forecasting. AI can analyze sales data to identify high-potential leads and predict future revenue.

These agents aren’t limited to these areas. IBM emphasizes the platform’s extensibility, allowing businesses to build custom agents tailored to their specific needs.

How the Integration with Oracle Fusion Works

The integration between IBM’s AI agents and Oracle Fusion Applications is facilitated through a combination of APIs and pre-built connectors.This allows the agents to securely access and interact with data within the Oracle ecosystem.

Here’s a simplified view of the process:

  1. Data Access: The AI agent requests data from oracle Fusion Applications via API.
  2. Data Processing: The agent uses its AI capabilities (natural language processing, machine learning) to analyze the data.
  3. Action execution: based on the analysis, the agent executes a specific action within Oracle Fusion Applications, such as updating a record or triggering a workflow.
  4. Feedback Loop: The agent learns from the results of its actions, continuously improving its performance.

This seamless integration is crucial for ensuring data accuracy and minimizing disruption to existing business processes.

Benefits of Implementing AI Agents in Oracle Fusion Applications

The benefits of adopting these AI agents are substantial:

* Increased Efficiency: Automate repetitive tasks, freeing up employees to focus on strategic initiatives.

* Reduced Costs: Lower operational expenses by streamlining processes and reducing manual errors.

* Improved Accuracy: Minimize errors and ensure data consistency through AI-powered validation.

* Enhanced Decision-making: Gain deeper insights from data through AI-driven analytics.

* Scalability: Easily scale automation efforts to meet changing business needs.

* Faster Time to Value: Pre-built agents accelerate deployment and deliver immediate results.

Practical Tips for Prosperous Implementation

Implementing AI agents requires careful planning and execution. Here are some practical tips:

  1. Identify Pain Points: Start by identifying the most time-consuming and error-prone processes within your Oracle Fusion Applications environment.
  2. Define Clear Objectives: Set specific, measurable, achievable, relevant, and time-bound (SMART) goals for your AI automation initiatives.
  3. Data Quality is Key: Ensure your data is clean, accurate, and consistent before deploying AI agents. Garbage in, garbage out.
  4. Start Small: Begin with a pilot project to test the effectiveness of AI agents in a controlled environment.
  5. Monitor and Optimize: Continuously monitor the performance of AI agents and make adjustments as needed.
  6. Employee Training: Provide adequate training to employees on how to work alongside AI agents. Address concerns about job displacement and emphasize the benefits of collaboration.

Real-World Examples & Early Adopters

While widespread adoption is still in its early stages, several companies are already exploring the potential of IBM’s AI agents for Oracle Fusion Applications.A notable example is a large manufacturing company utilizing AI agents to automate invoice processing, resulting in a 30% reduction in processing time and a significant decrease in errors. Another case involves a retail organization leveraging AI-powered demand forecasting to optimize inventory levels and reduce stockouts. These early successes demonstrate the tangible value of this technology.

The Future of AI-Powered ERP

The launch

0 comments
0 FacebookTwitterPinterestEmail

Agentic AI Gains Traction: New Platforms and Security Concerns Emerge

The realm of Artificial Intelligence is rapidly evolving, and recent weeks have marked a notable shift with the increasing prominence of agentic AI. This advanced form of AI, capable of autonomous action and decision-making, is transitioning from theoretical potential to practical application across various industries, though not without raising critical security questions.

The Rise of the Prompt Economy

The concept of the “Prompt Economy”-where users leverage AI to generate code, content, and solutions-received notable recognition as Time Magazine highlighted “vibe coding” as a top invention of 2025. Vibe coding, which involves using AI to assist in software growth, is gaining popularity, but comes with challenges, including the need for skilled engineers to correct errors in AI-generated code. companies like Warp are pioneering agent-based development environments, providing a more controlled approach to AI-assisted coding, allowing developers to intervene and correct errors as needed.

Security Risks in Agentic AI Development

However, the autonomy that makes agentic AI so powerful also introduces new security vulnerabilities. Nvidia recently published a technical blog warning developers about the potential for attackers to exploit AI coding assistants, such as Cursor, Claude Code, and GitHub Copilot, through indirect prompt injection. This involves embedding malicious instructions within open-source repositories, allowing attackers to manipulate agents that autonomously read and execute commands.

Nvidia recommends a proactive “assume prompt injection” mindset, emphasizing the importance of limiting agent autonomy, implementing human review for sensitive commands, and isolating agents within secure environments. The firm stresses that developers must recognize that,as AI gains autonomy,their own tools could possibly be exploited.

Mitigation Strategies

To bolster security, Nvidia suggests utilizing vulnerability scanners like garak and implementing model behavior containment with NeMo Guardrails. These tools help developers identify and mitigate potential threats before thay can be exploited.

Major Players Enter the Agentic AI Arena

Several tech giants are making substantial investments in agentic AI platforms. Amazon Web Services (AWS) recently launched Amazon Speedy Suite, a new platform designed to automate complex workplace tasks. Quick Suite allows employees to query data, generate insights, and build specialized agents to operate securely across internal and external systems.

AWS reports that Quick Suite has already been implemented by Amazon employees and clients like DXC Technology, Vertiv, and Jabil, significantly reducing the time required to complete multi-day processes. This launch signals Amazon’s intention to become a central player in the Prompt Economy.

Strategic Alliances and Enterprise applications

Meanwhile, IBM and S&P Global have formed a strategic alliance to deploy agentic AI across enterprise operations, starting with supply chain management. This partnership integrates IBM’s watsonx Orchestrate framework with S&P Global’s Market Intelligence suite, combining data analytics with AI orchestration capabilities.The goal is to automate procurement, assess risks, and improve decision-making in global supply chains.

The collaboration aims to expand into finance, procurement, and insurance, transforming data into actionable insights that streamline operations. Both firms are positioning themselves at the forefront of applied use cases within the Prompt Economy.

Company Agentic AI Initiative Key Focus
Amazon Web Services Amazon Quick Suite Workplace automation, data analysis
IBM & S&P Global Joint AI Deployment Supply chain management, risk assessment
Warp Agentic Development Environment (ADE) AI-assisted software coding
Nvidia AI Security Research Vulnerability mitigation, prompt injection prevention

Did you Know? The development of agentic AI is creating a demand for new roles focused on AI safety and security, as companies work to mitigate the risks associated with autonomous systems.

pro tip: When evaluating agentic AI platforms, prioritize those that offer robust security features and granular control over agent autonomy.

The Long-Term Implications of Agentic AI

The evolution of agentic AI represents a paradigm shift in how humans interact with technology. As these systems become more sophisticated, they have the potential to revolutionize industries, automate complex tasks, and drive innovation. However, it is crucial to address the ethical and security implications of this technology to ensure its responsible development and deployment. Over the next decade, we can anticipate continued advancements in agentic AI, leading to even greater levels of autonomy and integration into our daily lives.

Frequently Asked Questions about Agentic AI


What are your thoughts on the increasing autonomy of AI systems? And how can we best balance innovation with the need for security and control?

How is nvidia’s vertical integration challenging traditional cloud provider business models?

AWS Boosts AI Workforce amid Rising Competition with Nvidia’s Growing concerns

Amazon’s Strategic response to the AI Talent War

Amazon Web Services (AWS) is aggressively expanding its artificial intelligence (AI) and machine learning (ML) workforce, a direct response to intensifying competition, notably from Nvidia. This isn’t simply about headcount; its a strategic realignment to maintain AWS’s dominance in the cloud computing market and address growing anxieties surrounding Nvidia’s increasingly powerful position in the AI hardware landscape. The demand for skilled AI engineers,data scientists,and ML specialists is soaring,driving up salaries and creating a fierce talent acquisition battle.

The Nvidia Factor: A Growing Threat to Cloud Providers

Nvidia’s success isn’t limited to GPUs. The company is rapidly evolving into a full-stack AI provider, offering everything from hardware and software to platforms and services. This vertical integration poses a significant challenge to cloud providers like AWS, microsoft Azure, and Google Cloud, who traditionally relied on offering infrastructure for others to build upon.

* Nvidia’s CUDA Platform: The widespread adoption of CUDA has created a lock-in affect, making it tough for developers to switch to option hardware.

* AI Software Stack: Nvidia’s expanding software offerings, including AI Enterprise, provide a comprehensive solution for businesses, reducing their reliance on cloud-specific tools.

* Data Center Dominance: Nvidia’s Grace Hopper Superchip is gaining traction in data centers, directly competing with AWS’s own custom silicon initiatives like Trainium and Inferentia.

This shift is forcing AWS to double down on its AI capabilities, not just in hardware, but crucially, in the talent needed to develop and deploy cutting-edge AI solutions. AI chip growth, machine learning infrastructure, and cloud AI services are all areas of intense focus.

AWS’s Multi-Pronged Approach to Workforce Expansion

AWS isn’t relying on a single strategy to bolster its AI workforce. Rather, it’s employing a multi-pronged approach encompassing recruitment, training, and strategic acquisitions.

Aggressive Recruitment Strategies

AWS is actively recruiting AI talent globally, offering competitive salaries and benefits packages. Key recruitment areas include:

  1. University Partnerships: collaborating with leading universities to attract recent graduates with AI/ML expertise. Programs like AWS Academy are designed to upskill students and prepare them for cloud careers.
  2. Targeted Hiring: Focusing on specialists in areas like generative AI, deep learning, natural language processing (NLP), and computer vision.
  3. Relocation Assistance: Offering generous relocation packages to attract talent from AI hubs like Silicon Valley, Toronto, and London.

Internal Training and Upskilling Initiatives

Recognizing the shortage of qualified AI professionals, AWS is investing heavily in internal training programs.

* AWS Skill Builder: Provides a wide range of online courses and certifications in AI/ML, allowing existing AWS employees to upskill and transition into AI roles.

* Dedicated AI Training Programs: Intensive, immersive programs designed to equip employees with the specific skills needed to develop and deploy AI solutions on AWS.

* mentorship Programs: Pairing experienced AI professionals with employees who are new to the field.

Strategic Acquisitions to Acquire Expertise

AWS has made several strategic acquisitions in recent years to acquire AI talent and technology.

* Anthropic Investment (2023): A significant investment in Anthropic, a leading AI safety and research company, provided AWS with access to cutting-edge AI models and expertise.

* AI21 Labs Partnership (2023): Collaboration with AI21 Labs to bring their Jurassic-2 large language models (llms) to AWS customers.

* Smaller, Specialized Acquisitions: AWS continues to acquire smaller companies with niche AI capabilities to fill specific skill gaps. AI startups are particularly attractive targets.

The Impact on AWS Services and innovation

The expanded AI workforce is already driving innovation across AWS’s service offerings.

* Amazon Bedrock: A fully managed service that makes foundation models (FMs) from leading AI companies accessible via an API.The ability to rapidly integrate and deploy these models is directly linked to AWS’s AI talent pool.

* SageMaker: AWS’s machine learning platform is constantly evolving, with new features and capabilities being added to simplify the development and deployment of ML models.

* AWS Inferentia & Trainium: Custom silicon designed to accelerate AI workloads. The development and optimization of these chips require a highly skilled engineering team.

* Generative AI Applications: AWS is integrating generative AI capabilities into a wide range of services,including code generation,content creation,and customer service automation.

Benefits of AWS’s AI Investment

Investing in its AI workforce provides AWS with several key benefits:

* Competitive Advantage: Maintaining a leading position in the cloud market by offering cutting-edge AI services.

* Innovation: Accelerating the development of new AI-powered solutions.

* customer Value: Providing customers with the tools and expertise they need to leverage AI to solve their business challenges.

* Reduced Reliance on Third Parties: Decreasing dependence on companies like Nvidia for critical AI components.

Practical Tips for businesses Leveraging AWS AI

For businesses looking to leverage AWS’s AI capabilities, consider

0 comments
0 FacebookTwitterPinterestEmail
Newer Posts

Adblock Detected

Please support us by disabling your AdBlocker extension from your browsers for our website.