Latest news with #RahulPathak
Techday NZ
15-05-2025
- Business
- Techday NZ
Boomi & AWS join forces to boost generative AI governance
Boomi and Amazon Web Services (AWS) have entered into a multi-year strategic collaboration aimed at helping enterprises manage generative artificial intelligence (AI) agents at scale and facilitating accelerated SAP migrations to AWS. The agreement integrates Boomi's Agent Control Tower with Amazon Bedrock, which offers organisations a centralised platform to build, monitor, and govern AI agents across various cloud environments, maintaining security, compliance, and governance standards required by enterprises. The collaboration includes native support for the Model Context Protocol (MCP), new low-code AI agent design features through Amazon Q index, a suite of SAP-certified connectors and data migration tools, and marks Boomi's achievement of its fifth AWS Competency, specifically in Generative AI. Rahul Pathak, Vice President, Data & AI GTM at AWS, commented on the industry needs that have shaped the partnership: "As we've worked with thousands of customers adopting generative AI, one thing has become clear—enterprises need robust solutions to effectively deploy, monitor, and govern AI agents across their technology environments." Enterprises today face significant challenges managing AI agents across fragmented platforms, leading to increased security risks and operational inefficiencies. As the adoption of AI agents grows, companies are seeking reliable methods to monitor, secure, and optimise their AI operations within diverse technology landscapes. Through the integration of Amazon Bedrock—a managed service providing access to a broad array of AI models—with Boomi's Agent Control Tower, enterprises will be able to discover, build, and manage AI agents within their AWS environments, while retaining oversight over third-party and multi-cloud AI resources. A single API interface within Amazon Bedrock supports the implementation of generative AI applications, and includes features to ensure privacy, responsible AI usage, and security, with added support for MCP to facilitate secure data connectivity and governance. Steve Lucas, Chairman and CEO at Boomi, said: "Our Strategic Collaboration Agreement with AWS comes at a critical inflection point where enterprise AI adoption requires a delicate balance between innovation and governance. By integrating Amazon Bedrock's powerful generative AI capabilities with Boomi's Agent Control Tower, we're giving organisations unprecedented visibility and control across their entire AI ecosystem while simultaneously accelerating their critical SAP workload migrations to AWS. This partnership enables enterprises to confidently scale their AI initiatives with the security, compliance, and operational excellence their business demands." The collaboration will launch several joint initiatives. These include the integration of Boomi's Agent Control Tower with Amazon Bedrock, providing holistic governance of AI agents across multiple cloud providers. The solution offers comprehensive visibility, proactive monitoring, and control over both Boomi-authored and third-party AI agents, supporting on-premises, public, or hybrid cloud environments with enterprise-level security and compliance. Boomi's enhanced low-code Agent Designer, integrated with Amazon Q index, enables rapid development of AI agents with contextual understanding and advanced model selection. These agents can be built, trained, and deployed through Boomi's platform, with subsequent management capabilities for scale and continued governance. The partnership also brings new native AWS connectors, facilitating integrations with AWS Lambda, Amazon DynamoDB, Amazon Bedrock, and the Amazon Selling Partner Appstore. These connectors streamline workflows such as serverless computing and e-commerce. Additionally, Boomi for SAP delivers SAP-certified integration, reducing the time required for connectivity between SAP and non-SAP applications and supporting cloud migrations with updated extract-load-transform (ELT) functionalities made possible by Boomi's recent acquisition of Rivery. Amit Sinha, President and Co-Founder of WorkSpan, described the impact of the partnership on business operations: "As we expand AI-driven automation across our business, Boomi and AWS are essential partners enabling us to securely manage complexity and scale innovation. Utilising Boomi's integration capabilities combined with AWS infrastructure, we seamlessly connect diverse systems, accelerate SAP and AI initiatives, and maintain essential visibility and governance across our technology landscape—significantly enhancing our ability to innovate quickly and confidently." In recognition of these advancements, Boomi has been acknowledged as an AWS Generative AI Competency Partner, its fifth such distinction. This specialisation is given to AWS partners that aid customers and the AWS Partner Network in advancing services, tools, and infrastructure for generative AI. Boomi's achievement demonstrates its practical expertise in using AWS technologies, including Amazon Bedrock, Amazon Q, and Amazon SageMaker, and underlines its technical best practices in generative AI deployment and management.
Scoop
15-05-2025
- Business
- Scoop
AWS And Boomi Announce Strategic AI And SAP Integration Partnership
Press Release – Boomi Our Strategic Collaboration Agreement with AWS comes at a critical inflection point where enterprise AI adoption requires a delicate balance between innovation and governance, said Steve Lucas, Chairman and CEO at Boomi. Boomi™, the leader in AI-driven automation, today announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to help customers build, manage, monitor and govern generative artificial intelligence (AI) agents across enterprise operations. Additionally, the SCA will aim to help customers accelerate SAP migrations from on-premises to AWS. Enterprise organisations today struggle with fragmented AI agent management across multiple platforms and environments, incurring potential security risks and operational inefficiencies. As AI agent adoption accelerates, organisations need a trusted way to monitor, secure, and optimise their AI investments across their diverse technology landscape. By integrating Amazon Bedrock — a fully managed service for building and scaling generative AI applications, including access to the broadest selection of fully managed models from leading AI companies — with the Boomi Agent Control Tower, a centralised management solution for deploying, monitoring, and governing AI agents across hybrid and multi-cloud environments, customers can easily discover, build, and manage agents executing in their AWS accounts, while also maintaining visibility and control over agents running in other cloud provider or third-party environments. Through a single API, Amazon Bedrock provides a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI in mind, including support for Model Context Protocol (MCP), a new open standard that enables developers to build secure, two-way connections between their data and AI-powered tools. MCP enables agents to effectively interpret and work with ERP data while complying with data governance and security requirements. 'Our Strategic Collaboration Agreement with AWS comes at a critical inflection point where enterprise AI adoption requires a delicate balance between innovation and governance,' said Steve Lucas, Chairman and CEO at Boomi. 'By integrating Amazon Bedrock's powerful generative AI capabilities with Boomi's Agent Control Tower, we're giving organisations unprecedented visibility and control across their entire AI ecosystem while simultaneously accelerating their critical SAP workload migrations to AWS. This partnership enables enterprises to confidently scale their AI initiatives with the security, compliance, and operational excellence their business demands.' 'As we've worked with thousands of customers adopting generative AI, one thing has become clear—enterprises need robust solutions to effectively deploy, monitor, and govern AI agents across their technology environments,' said Rahul Pathak, VP, Data & AI GTM at AWS. 'Amazon Bedrock provides customers with choice—the most comprehensive selection of foundation models and built-in governance capabilities. When you combine this with Boomi's Agent Control Tower providing centralised visibility and control, customers get what they need to innovate confidently while maintaining security and compliance. This collaboration brings together complementary strengths so customers can move quickly from proof-of-concept to production while meeting their business requirements.' 'As we expand AI-driven automation across our business, Boomi and AWS are essential partners enabling us to securely manage complexity and scale innovation,' said Amit Sinha, President & Co-Founder of WorkSpan. 'Utilising Boomi's integration capabilities combined with AWS infrastructure, we seamlessly connect diverse systems, accelerate SAP and AI initiatives, and maintain essential visibility and governance across our technology landscape—significantly enhancing our ability to innovate quickly and confidently.' The collaboration will introduce several strategic joint initiatives, including: Agent Control Tower – Integrated with Amazon Bedrock, Boomi's Agent Control Tower, part of Boomi Agentstudio (formerly Boomi AI Studio), provides holistic multi-cloud governance for AI agents. Organisations gain comprehensive visibility, proactive monitoring, and control of both Boomi-authored and third-party AI agents. This solution is critical for securely scaling AI initiatives across on-premises, public, or hybrid cloud environments, reducing complexity and ensuring enterprise-grade security and compliance. Enhanced Agent Designer – Boomi's low-code Agent Designer, now integrated with Amazon Q index, allows rapid creation of AI agents with deep contextual understanding and smarter model selection. Enterprises can build, train, and deploy intelligent agents that leverage Amazon Q index for improved relevance and performance—and then manage them at scale via Boomi's multi-platform Agent Control Tower. New Native AWS Connectors and Boomi for SAP – As part of its SCA with AWS, Boomi has introduced new native connectors for AWS Lambda, Amazon Bedrock, Amazon DynamoDB, and the Amazon Selling Partner Appstore. These connectors enable seamless integration across AWS services, supporting use cases from serverless computing to generative AI and e-commerce. Also part of the broader SCA collaboration, Boomi for SAP provides SAP-certified native integration that simplifies and accelerates connectivity between SAP and non-SAP systems, reduces integration time, and supports cloud migration with modern ELT capabilities powered by the Rivery acquisition. Organisations can efficiently move SAP data into any AWS-powered data warehouse or data lake to enable real-time analytics and AI. Together, Boomi and AWS empower organisations to connect SAP to non-SAP applications, move data seamlessly to the cloud, and fuel AI and analytics initiatives—maximising the value of their technology investments. Boomi Validated as AWS Generative AI Competency Partner Boomi also announced it achieved the AWS Generative AI Competency – a specialisation that recognises Boomi as an AWS Partner that helps customers and the AWS Partner Network drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies. As of May 2025, this marks Boomi's fifth AWS Competency, demonstrating Boomi's leadership in building generative AI applications using AWS technologies such as Amazon Bedrock, Amazon Q, and Amazon SageMaker. This recognition reflects Boomi's proven field expertise and technical best practices, enabling customers to innovate confidently with next-generation AI solutions at scale. About Boomi Boomi, the leader in AI-driven automation, helps organisations around the world automate and streamline critical processes to achieve business outcomes faster. Harnessing advanced AI capabilities, the Boomi Enterprise Platform seamlessly connects systems and manages data flows with API management, integration, data management, and AI orchestration in one comprehensive solution. With over 23,000 customers globally and a network of 800+ partners, Boomi is revolutionising the way enterprises of all sizes achieve business agility and operational excellence. Discover more at
Scoop
14-05-2025
- Business
- Scoop
AWS And Boomi Announce Strategic AI And SAP Integration Partnership
Boomi™, the leader in AI-driven automation, today announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to help customers build, manage, monitor and govern generative artificial intelligence (AI) agents across enterprise operations. Additionally, the SCA will aim to help customers accelerate SAP migrations from on-premises to AWS. Enterprise organisations today struggle with fragmented AI agent management across multiple platforms and environments, incurring potential security risks and operational inefficiencies. As AI agent adoption accelerates, organisations need a trusted way to monitor, secure, and optimise their AI investments across their diverse technology landscape. By integrating Amazon Bedrock — a fully managed service for building and scaling generative AI applications, including access to the broadest selection of fully managed models from leading AI companies — with the Boomi Agent Control Tower, a centralised management solution for deploying, monitoring, and governing AI agents across hybrid and multi-cloud environments, customers can easily discover, build, and manage agents executing in their AWS accounts, while also maintaining visibility and control over agents running in other cloud provider or third-party environments. Through a single API, Amazon Bedrock provides a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI in mind, including support for Model Context Protocol (MCP), a new open standard that enables developers to build secure, two-way connections between their data and AI-powered tools. MCP enables agents to effectively interpret and work with ERP data while complying with data governance and security requirements. "Our Strategic Collaboration Agreement with AWS comes at a critical inflection point where enterprise AI adoption requires a delicate balance between innovation and governance," said Steve Lucas, Chairman and CEO at Boomi. "By integrating Amazon Bedrock's powerful generative AI capabilities with Boomi's Agent Control Tower, we're giving organisations unprecedented visibility and control across their entire AI ecosystem while simultaneously accelerating their critical SAP workload migrations to AWS. This partnership enables enterprises to confidently scale their AI initiatives with the security, compliance, and operational excellence their business demands." 'As we've worked with thousands of customers adopting generative AI, one thing has become clear—enterprises need robust solutions to effectively deploy, monitor, and govern AI agents across their technology environments,' said Rahul Pathak, VP, Data & AI GTM at AWS. 'Amazon Bedrock provides customers with choice—the most comprehensive selection of foundation models and built-in governance capabilities. When you combine this with Boomi's Agent Control Tower providing centralised visibility and control, customers get what they need to innovate confidently while maintaining security and compliance. This collaboration brings together complementary strengths so customers can move quickly from proof-of-concept to production while meeting their business requirements.' 'As we expand AI-driven automation across our business, Boomi and AWS are essential partners enabling us to securely manage complexity and scale innovation,' said Amit Sinha, President & Co-Founder of WorkSpan. 'Utilising Boomi's integration capabilities combined with AWS infrastructure, we seamlessly connect diverse systems, accelerate SAP and AI initiatives, and maintain essential visibility and governance across our technology landscape—significantly enhancing our ability to innovate quickly and confidently.' The collaboration will introduce several strategic joint initiatives, including: Agent Control Tower - Integrated with Amazon Bedrock, Boomi's Agent Control Tower, part of Boomi Agentstudio (formerly Boomi AI Studio), provides holistic multi-cloud governance for AI agents. Organisations gain comprehensive visibility, proactive monitoring, and control of both Boomi-authored and third-party AI agents. This solution is critical for securely scaling AI initiatives across on-premises, public, or hybrid cloud environments, reducing complexity and ensuring enterprise-grade security and compliance. Enhanced Agent Designer - Boomi's low-code Agent Designer, now integrated with Amazon Q index, allows rapid creation of AI agents with deep contextual understanding and smarter model selection. Enterprises can build, train, and deploy intelligent agents that leverage Amazon Q index for improved relevance and performance—and then manage them at scale via Boomi's multi-platform Agent Control Tower. New Native AWS Connectors and Boomi for SAP - As part of its SCA with AWS, Boomi has introduced new native connectors for AWS Lambda, Amazon Bedrock, Amazon DynamoDB, and the Amazon Selling Partner Appstore. These connectors enable seamless integration across AWS services, supporting use cases from serverless computing to generative AI and e-commerce. Also part of the broader SCA collaboration, Boomi for SAP provides SAP-certified native integration that simplifies and accelerates connectivity between SAP and non-SAP systems, reduces integration time, and supports cloud migration with modern ELT capabilities powered by the Rivery acquisition. Organisations can efficiently move SAP data into any AWS-powered data warehouse or data lake to enable real-time analytics and AI. Together, Boomi and AWS empower organisations to connect SAP to non-SAP applications, move data seamlessly to the cloud, and fuel AI and analytics initiatives—maximising the value of their technology investments. Boomi Validated as AWS Generative AI Competency Partner Boomi also announced it achieved the AWS Generative AI Competency - a specialisation that recognises Boomi as an AWS Partner that helps customers and the AWS Partner Network drive the advancement of services, tools, and infrastructure pivotal for implementing generative AI technologies. As of May 2025, this marks Boomi's fifth AWS Competency, demonstrating Boomi's leadership in building generative AI applications using AWS technologies such as Amazon Bedrock, Amazon Q, and Amazon SageMaker. This recognition reflects Boomi's proven field expertise and technical best practices, enabling customers to innovate confidently with next-generation AI solutions at scale. Additional Resources Learn more about Boomi on AWS Find out more about Boomi Agentstudio About Boomi Boomi, the leader in AI-driven automation, helps organisations around the world automate and streamline critical processes to achieve business outcomes faster. Harnessing advanced AI capabilities, the Boomi Enterprise Platform seamlessly connects systems and manages data flows with API management, integration, data management, and AI orchestration in one comprehensive solution. With over 23,000 customers globally and a network of 800+ partners, Boomi is revolutionising the way enterprises of all sizes achieve business agility and operational excellence. Discover more at
Business Mayor
07-05-2025
- Business
- Business Mayor
AWS report: Generative AI overtakes security in global tech budgets for 2025
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Generative AI tools have surpassed cybersecurity as the top budget priority for global IT leaders heading into 2025, according to a comprehensive new study released today by Amazon Web Services. The AWS Generative AI Adoption Index, which surveyed 3,739 senior IT decision makers across nine countries, reveals that 45% of organizations plan to prioritize generative AI spending over traditional IT investments like security tools (30%) — a significant shift in corporate technology strategies as businesses race to capitalize on AI's transformative potential. 'I don't think it's cause for concern,' said Rahul Pathak, Vice President of Generative AI and AI/ML Go-to-Market at AWS, in an exclusive interview with VentureBeat. 'The way I interpret that is that customers' security remains a massive priority. What we're seeing with AI being such a major item from a budget prioritization perspective is that customers are seeing so many use cases for AI. It's really that there's a broad need to accelerate adoption of AI that's driving that particular outcome.' The extensive survey, conducted across the United States, Brazil, Canada, France, Germany, India, Japan, South Korea, and the United Kingdom, shows that generative AI adoption has reached a critical inflection point, with 90% of organizations now deploying these technologies in some capacity. More tellingly, 44% have already moved beyond the experimental phase into production deployment. IT leaders rank generative AI as their top budget priority for 2025, significantly outpacing traditional security investments. (Credit: Amazon Web Services) As AI initiatives scale across organizations, new leadership structures are emerging to manage the complexity. The report found that 60% of organizations have already appointed a dedicated AI executive, such as a Chief AI Officer (CAIO), with another 26% planning to do so by 2026. This executive-level commitment reflects growing recognition of AI's strategic importance, though the study notes that nearly one-quarter of organizations will still lack formal AI transformation strategies by 2026, suggesting potential challenges in change management. 'A thoughtful change management strategy will be critical,' the report emphasizes. 'The ideal strategy should address operating model changes, data management practices, talent pipelines, and scaling strategies.' Organizations conducted an average of 45 AI experiments in 2024, but only about 20 are expected to reach end users by 2025, highlighting persistent implementation challenges. 'For me to see over 40% going into production for something that's relatively new, I actually think is pretty rapid and high success rate from an adoption perspective,' Pathak noted. 'That said, I think customers are absolutely using AI in production at scale, and I think we want to obviously see that continue to accelerate.' The report identified talent shortages as the primary barrier to transitioning experiments into production, with 55% of respondents citing the lack of a skilled generative AI workforce as their biggest challenge. 'I'd say another big piece that's an unlock to getting into production successfully is customers really working backwards from what business objectives they're trying to drive, and then also understanding how will AI interact with their data,' Pathak told VentureBeat. 'It's really when you combine the unique insights you have about your business and your customers with AI that you can drive a differentiated business outcome.' Organizations conducted 45 AI experiments on average in 2024, but talent shortages prevent more than half from reaching production. (Credit: Amazon Web Services) To address the skills gap, organizations are pursuing dual strategies of internal training and external recruitment. The survey found that 56% of organizations have already developed generative AI training plans, with another 19% planning to do so by the end of 2025. 'For me, it's clear that it's top of mind for customers,' Pathak said regarding the talent shortage. 'It's, how do we make sure that we bring our teams along and employees along and get them to a place where they're able to maximize the opportunity.' Rather than specific technical skills, Pathak emphasized adaptability: 'I think it's more about, can you commit to sort of learning how to use AI tools so you can build them into your day-to-day workflow and keep that agility? I think that mental agility will be important for all of us.' The talent push extends beyond training to aggressive hiring, with 92% of organizations planning to recruit for roles requiring generative AI expertise in 2025. In a quarter of organizations, at least 50% of new positions will require these skills. One in four organizations will require generative AI skills for at least half of all new positions in 2025. (Credit: Amazon Web Services) The long-running debate over whether to build proprietary AI solutions or leverage existing models appears to be resolving in favor of a hybrid approach. Only 25% of organizations plan to deploy solutions developed in-house from scratch, while 58% intend to build custom applications on pre-existing models and 55% will develop applications on fine-tuned models. This represents a notable shift for industries traditionally known for custom development. The report found that 44% of financial services firms plan to use out-of-the-box solutions — a departure from their historical preference for proprietary systems. 'Many select customers are still building their own models,' Pathak explained. 'That being said, I think there's so much capability and investment that's gone into core foundation models that there are excellent starting points, and we've worked really hard to make sure customers can be confident that their data is protected. Nothing leaks into the models. Anything they do for fine-tuning or customization is private and remains their IP.' He added that companies can still leverage their proprietary knowledge while using existing foundation models: 'Customers realize that they can get the benefits of their proprietary understanding of the world with things like RAG [Retrieval-Augmented Generation] and customization and fine-tuning and model distillation.' Most organizations favor customizing existing AI models rather than building solutions from scratch. (Credit: Amazon Web Services) While generative AI investment is a global trend, the study revealed regional variations in adoption rates. The U.S. showed 44% of organizations prioritizing generative AI investments, aligning with the global average of 45%, but India (64%) and South Korea (54%) demonstrated significantly higher rates. 'We are seeing massive adoption around the world,' Pathak observed. 'I thought it was interesting that there was a relatively high amount of consistency on the global side. I think we did see in our respondents that, if you squint at it, I think we've seen India maybe slightly ahead, other parts slightly behind the average, and then kind of the U.S. right on line.' As organizations navigate the complex AI landscape, they increasingly rely on external expertise. The report found that 65% of organizations will depend on third-party vendors to some extent in 2025, with 15% planning to rely solely on vendors and 50% adopting a mixed approach combining in-house teams and external partners. 'For us, it's very much an 'and' type of relationship,' Pathak said of AWS's approach to supporting both custom and pre-built solutions. 'We want to meet customers where they are. We've got a huge partner ecosystem we've invested in from a model provider perspective, so Anthropic and Meta, Stability, Cohere, etc. We've got a big partner ecosystem of ISVs. We've got a big partner ecosystem of service providers and system integrators.' Two-thirds of organizations will rely on external expertise to deploy generative AI solutions in 2025. (Credit: Amazon Web Services) For organizations still hesitant to embrace generative AI, Pathak offered a stark warning: 'I really think customers should be leaning in, or they're going to risk getting left behind by their peers who are. The gains that AI can provide are real and significant.' He emphasized the accelerating pace of innovation in the field: 'The rate of change and the rate of improvement of AI technology and the rate of the reduction of things like the cost of inference are significant and will continue to be rapid. Things that seem impossible today will seem like old news in probably just three to six months.' This sentiment is echoed in the widespread adoption across sectors. 'We see such a rapid, such a mass breadth of adoption,' Pathak noted. 'Regulated industries, financial services, healthcare, we see governments, large enterprise, startups. The current crop of startups is almost exclusively AI-driven.' The AWS report paints a portrait of generative AI's rapid evolution from cutting-edge experiment to fundamental business infrastructure. As organizations shift budget priorities, restructure leadership teams, and race to secure AI talent, the data suggests we've reached a decisive tipping point in enterprise AI adoption. Yet amid the technological gold rush, the most successful implementations will likely come from organizations that maintain a relentless focus on business outcomes rather than technological novelty. As Pathak emphasized, 'AI is a powerful tool, but you got to start with your business objective. What are you trying to accomplish as an organization?' In the end, the companies that thrive won't necessarily be those with the biggest AI budgets or the most advanced models, but those that most effectively harness AI to solve real business problems with their unique data assets. In this new competitive landscape, the question is no longer whether to adopt AI, but how quickly organizations can transform AI experiments into tangible business advantage before their competitors do.
