Latest news with #AWSBedrock
Channel Post MEA
2 days ago
- Business
- Channel Post MEA
OutSystems Unveils Agent Workbench To Accelerate AI Innovation
OutSystems has announced the Early Access Program for OutSystems Agent Workbench. Agent Workbench enables enterprises to create and orchestrate intelligent agents for any use case—and across any department, workflow, or data—with enterprise-grade security and control. Delivered on OutSystems trusted platform, Agent Workbench makes it easier than ever for pragmatic leaders to innovate at speed and orchestrate human-AI collaboration. 'Organizations are excited by the promise of AI and agentic systems, but are struggling with endless pilots and ungoverned tool sprawl while the business impact stalls. Legacy systems, siloed data, fragmented AI tools, and complex AI development cycles are slowing progress,' said Woodson Martin, CEO of OutSystems. 'We built Agent Workbench to make it possible to unlock custom agents as a true business enabler—not an experiment.' With everything organizations need to create and scale enterprise-grade agents, OutSystems Agent Workbench simplifies the transformation of existing business applications, workflows, and tools into intelligent, agentic systems that can reason, plan, and act. IT teams can embed agentic AI into enterprise-wide operations without disrupting current workflows or rearchitecting core systems—accelerating adoption and time to value. From connecting to custom AI models to creating and orchestrating agents that work across all enterprise applications and data, Agent Workbench makes AI a driver of enterprise innovation. With Agent Workbench, organizations of any size can: Build and scale AI agents that work across the entire enterprise effortlessly and safely for real-time goal interpretation, option evaluation, and decision-making, while controlling tool sprawl through a single platform. for real-time goal interpretation, option evaluation, and decision-making, while controlling tool sprawl through a single platform. Seamlessly integrate with custom AI models or leading third-party providers like Azure OpenAI and AWS Bedrock to centralize control over AI and data access, decrease cost, and enable multi-vendor utilization. like Azure OpenAI and AWS Bedrock to centralize control over AI and data access, decrease cost, and enable multi-vendor utilization. Ground AI agents with a unified data fabric that connects to diverse enterprise data sources, such as existing OutSystems 11 data and actions, relational databases, data lakes, knowledge retrieval systems like Kendra and Azure AI Search, and even agent memory of past interactions, to ensure accurate and context-rich responses across workflows. such as existing OutSystems 11 data and actions, relational databases, data lakes, knowledge retrieval systems like Kendra and Azure AI Search, and even agent memory of past interactions, to ensure accurate and context-rich responses across workflows. Orchestrate multi-agent workflows where agents dynamically adjust process flows based on an understanding of all enterprise systems, with real-time context, reasoning, and decisions to tackle complex tasks—whether working in parallel, sequentially, or hierarchically. This enables collaborative task execution, escalation handling, and human intervention when necessary. where agents dynamically adjust process flows based on an understanding of all enterprise systems, with real-time context, reasoning, and decisions to tackle complex tasks—whether working in parallel, sequentially, or hierarchically. This enables collaborative task execution, escalation handling, and human intervention when necessary. Monitor agent performance enterprise-wide with real-time logging, error tracing, and built-in guardrails to ensure transparent, reliable decision-making. Gain full visibility into how AI agents operate at every step—making it easy to audit, troubleshoot behavior, and prevent hallucinations, while building trust through explainability and control.
Techday NZ
2 days ago
- Business
- Techday NZ
OutSystems launches Agent Workbench to accelerate AI in business
OutSystems has introduced Agent Workbench, a platform designed to help enterprises develop and manage custom artificial intelligence agents across business operations. The company has launched an Early Access Programme for Agent Workbench, intended to simplify the integration of AI agents into existing workflows and data environments with an emphasis on security and control. The tool aims to allow organisations to design, orchestrate, and monitor intelligent agents for various use cases without needing to overhaul their current systems. Woodson Martin, Chief Executive Officer of OutSystems, described the need for Agent Workbench, noting the challenges faced by businesses seeking to implement AI technologies within enterprise settings. "Organisations are excited by the promise of AI and agentic systems, but are struggling with endless pilots and ungoverned tool sprawl while the business impact stalls. Legacy systems, siloed data, fragmented AI tools, and complex AI development cycles are slowing progress," said Woodson Martin. "We built Agent Workbench to make it possible to unlock custom agents as a true business enabler - not an experiment." Agent Workbench is delivered on the OutSystems platform and is positioned as a tool for enterprises to accelerate AI adoption and enable the integration of intelligent agents into day-to-day business operations. The platform is designed to transform existing business applications into agentic systems that can reason, plan, and act autonomously. Features and integration The OutSystems Agent Workbench provides several capabilities to help organisations deploy AI-powered agents across their departments, applications, and data environments. It allows IT teams to embed agentic AI into operations without disrupting current workflows or requiring significant architectural changes. Organisations using Agent Workbench can build and scale AI agents throughout the enterprise, providing functionalities such as real-time goal interpretation, option evaluation, and decision-making. The platform offers a centralised approach to manage these capabilities, aiming to reduce the spread of disparate tools. Agent Workbench supports integration with customised AI models or third-party providers, including Azure OpenAI and AWS Bedrock. This enables companies to centralise AI and data access while managing costs and supporting multi-vendor strategies. Unified data and workflow orchestration The platform grounds AI agents with a unified data fabric, allowing connections to a variety of data sources. These include existing OutSystems 11 data, relational databases, data lakes, knowledge retrieval systems such as Kendra and Azure AI Search, and agent memory of previous interactions. This is intended to ensure AI agents provide contextually relevant and accurate responses across workflows. Orchestration of multi-agent workflows is also possible, where agents adapt their actions using real-time understanding of enterprise systems. Tasks can be handled collaboratively by agents in parallel, sequential, or hierarchical arrangements and allow for escalation and human intervention when required. Governance and monitoring Enterprise-wide monitoring of agent performance is supported through features like real-time logging, error tracing, and in-built guardrails for reliability and transparency. Organisations gain visibility into the operations of AI agents, which can help in auditing and troubleshooting agent behaviour, and in preventing erroneous outputs. The OutSystems Agent Workbench Early Access Programme is open to organisations interested in participating before general availability later in the year.
Malaysian Reserve
3 days ago
- Business
- Malaysian Reserve
OutSystems Unveils Agent Workbench to Accelerate Enterprise AI Innovation
OutSystems Agent Workbench empowers organizations to create custom AI agents that streamline operations, elevate experiences, and grow revenue SINGAPORE, July 16, 2025 /PRNewswire/ — OutSystems, a leading AI-powered low-code development platform, today announced the Early Access Program for OutSystems Agent Workbench. Agent Workbench enables enterprises to create and orchestrate intelligent agents for any use case—and across any department, workflow, or data—with enterprise-grade security and control. Delivered on OutSystems trusted platform, Agent Workbench makes it easier than ever for pragmatic leaders to innovate at speed and orchestrate human-AI collaboration. 'Organizations are excited by the promise of AI and agentic systems, but are struggling with endless pilots and ungoverned tool sprawl while the business impact stalls. Legacy systems, siloed data, fragmented AI tools, and complex AI development cycles are slowing progress,' said Woodson Martin, CEO of OutSystems. 'We built Agent Workbench to make it possible to unlock custom agents as a true business enabler—not an experiment.' With everything organizations need to create and scale enterprise-grade agents, OutSystems Agent Workbench simplifies the transformation of existing business applications, workflows, and tools into intelligent, agentic systems that can reason, plan, and act. IT teams can embed agentic AI into enterprise-wide operations without disrupting current workflows or rearchitecting core systems—accelerating adoption and time to value. From connecting to custom AI models to creating and orchestrating agents that work across all enterprise applications and data, Agent Workbench makes AI a driver of enterprise innovation. With Agent Workbench, organizations of any size can: Build and scale AI agents that work across the entire enterprise effortlessly and safely for real-time goal interpretation, option evaluation, and decision-making, while controlling tool sprawl through a single platform. Seamlessly integrate with custom AI models or leading third-party providers like Azure OpenAI and AWS Bedrock to centralize control over AI and data access, decrease cost, and enable multi-vendor utilization. Ground AI agents with a unified data fabric that connects to diverse enterprise data sources, such as existing OutSystems 11 data and actions, relational databases, data lakes, knowledge retrieval systems like Kendra and Azure AI Search, and even agent memory of past interactions, to ensure accurate and context-rich responses across workflows. Orchestrate multi-agent workflows where agents dynamically adjust process flows based on an understanding of all enterprise systems, with real-time context, reasoning, and decisions to tackle complex tasks—whether working in parallel, sequentially, or hierarchically. This enables collaborative task execution, escalation handling, and human intervention when necessary. Monitor agent performance enterprise-wide with real-time logging, error tracing, and built-in guardrails to ensure transparent, reliable decision-making. Gain full visibility into how AI agents operate at every step—making it easy to audit, troubleshoot behavior, and prevent hallucinations, while building trust through explainability and control. Sign up for the OutSystems Agent Workbench Early Access Program here. OutSystems Agent Workbench will be generally available later this year. To learn more, visit the OutSystems Agent Workbench page. About OutSystems OutSystems is a leading AI-powered low-code development platform, empowering IT leaders with a better way to build the software that matters most. The OutSystems platform helps companies develop, deploy, and maintain mission-critical applications by unifying and automating the entire software lifecycle. With OutSystems, organizations leverage gen AI to deliver software instantaneously, adapt faster to changing requirements, and reduce technical debt by building on a future-proof platform. Helping customers achieve their business goals by addressing key strategic initiatives, OutSystems delivers production software up to 10x faster than traditional development. Recognized as a leader by analysts, IT executives, business leaders, and developers around the world, global brands trust OutSystems to tackle their impossible projects and turn their big ideas into software that moves their business, people, and the world forward. Founded in 2001, the company's network spans more than 800,000 community members, over 500 partners, and active customers in 75+ countries across 21 industries. Learn more at
Yahoo
18-06-2025
- Business
- Yahoo
Code Platoon Launches New AI & Cloud DevOps Program to Meet Evolving Tech Workforce Demands
Updated curriculum and program name reflect the growing importance of AI and Cloud Engineering in technology roles. CHICAGO, June 18, 2025 /PRNewswire/ -- Code Platoon, a nonprofit coding bootcamp for Veterans, active duty Servicemembers, and military families, is proud to announce the launch of its newly revamped AI Cloud and DevOps Engineering program. This update reflects a growing demand in the tech industry for professionals trained at the intersection of artificial intelligence, cloud computing, and DevOps engineering. The first cohort under the new curriculum, AI Cloud and DevOps Delta Platoon, will run from October 13, 2025, to April 25, 2026. Applications are now open through August 17, 2025. "AI and Cloud are no longer niche—they're foundational," said Rodrigo Levy, Executive Director and Founder of Code Platoon. "As employers rapidly adopt cloud-native infrastructure and AI tools, they're looking for professionals who can build, automate, and scale with those technologies in mind. This updated program equips our students with the exact skills." Why AI and Cloud Now? The tech industry has shifted. According to LinkedIn's 2025 Emerging Jobs Report, roles in AI and cloud engineering are among the fastest-growing in the U.S., with job listings in machine learning operations (MLOps), cloud automation, and AI deployment up more than 40% year over year. Employers are increasingly integrating AI tools, such as AWS Bedrock and Amazon SageMaker, into their workflows, and they need engineers who can keep pace with these developments. That's where Code Platoon's new program comes in. A Curriculum Designed for What's Next The AI Cloud and DevOps curriculum offers students hands-on experience with today's most widely used tools: AI tools: Amazon SageMaker, Amazon Bedrock, AWS AI services, Bedrock Agents Cloud & DevOps: Terraform, Ansible, GitHub Actions, Docker Data: SQL/NoSQL databases, full-stack cloud architecture Certifications: AWS AI Practitioner Certification Graduates will be ready to tackle complex, real-world problems, whether it's building automated cloud pipelines or deploying AI-powered applications. Adam Cahan, Program Director at Code Platoon, emphasized the need to stay ahead of industry trends: "We're not just teaching students how to configure servers—we're teaching them how to build intelligent, scalable systems. The new curriculum blends DevOps with applied AI so that our grads can go into a team and immediately add value." Bridging the Skills Gap for Veterans and Military Families Code Platoon has long focused on career training that leads directly to employment, with 80% of graduates landing jobs in software development, DevOps, or related roles. This new curriculum deepens that mission by targeting some of the most sought-after skills in tech today. Whether you're a tech professional looking to hire versatile engineers or a military Veteran or family member considering a future in cloud or AI, the AI Cloud and DevOps program offers a fast, effective path forward. About Code PlatoonCode Platoon is a 501(c)(3) nonprofit that transforms Veterans, active duty Servicemembers, and military families into professional software engineers through an immersive, hands-on educational process and dedicated career services support. We recognize the unique and diverse skill sets and experiences that Veterans and the military community bring to the tech industry and provide the hard and soft skills necessary for these individuals to transition into careers in tech. Contact Information:Jim Hennessey(312) 767-7673396832@ View original content: SOURCE Code Platoon
TECHx
28-04-2025
- Business
- TECHx
Dataiku Launches AI Agents to Boost Enterprise Innovation
Home » Emerging technologies » Artificial Intelligence » Dataiku Launches AI Agents to Boost Enterprise Innovation Dataiku, The Universal AI Platform™, has announced the launch of new AI agents. These capabilities are designed to help companies create, control, and scale AI agents for business applications. Over the past year, the adoption of GenAI and AI agents has accelerated. Today, more than 20% of Dataiku's customers use the platform to integrate GenAI into their workflows. Many customers have over 1,000 active use cases. However, rapid growth has created challenges. Many businesses deploy agents without IT control. This leads to inconsistent quality, security risks, and unmanaged sprawl. Dataiku addresses these issues by embedding agents inside a trusted, governed system. According to Florian Douetteau, co-founder and CEO of Dataiku, companies are now rethinking decades of enterprise applications. AI-native apps are becoming critical. These apps require a combination of analytics, predictive models, and agents. Only a platform like Dataiku can deliver all three together. As organizations move from pilot projects to full deployment, governance becomes essential. Without it, agent performance can decline, and technical debt can grow. Dataiku is building the infrastructure needed for centralized creation, performance monitoring, and orchestration. The platform supports both no-code and full-code agent development. Visual agent is ideal for business users. Code agent is built for developers. Both options come with governance features like managed tools, a GenAI registry, and risk validation workflows. Security is also a top priority. Dataiku's LLM Mesh architecture manages model access across vendors such as OpenAI, Anthropic, and Mistral. It also supports cloud services like Azure, AWS Bedrock, and Google Gemini, as well as self-hosted open-source models. Dataiku offers flexible guardrails with Safe Guard. It also provides Agent Connect to unify agent access across teams, allowing for easier orchestration. Continuous optimization is crucial. Agents can fail or drift over time. Dataiku's Trace Explorer, Quality Guard, and Cost Guard tools help monitor decisions, measure performance, and control costs. The platform connects AI agents to existing business workflows. It supports major cloud and data environments, including Snowflake, Databricks, Microsoft, AWS, and Google. This integration drives faster ROI while reducing complexity. AI agents with Dataiku are available today. Companies can now strengthen their AI strategies with greater control, security, and scalability.
