Kore.ai launches AI agent solutions in AWS Marketplace
This development allows customers to utilise AWS Marketplace for the discovery, purchase, and deployment of Kore.ai's AI agent solutions, streamlining the implementation of agentic workflows across a range of industries. The availability is designed to enhance enterprise AI adoption and streamline procurement processes.
Deployment and integration
Kore.ai's Agent Platform can now be quickly set up through AWS accounts. The platform connects with a variety of AWS tools, including Amazon Bedrock, Amazon Q, and Amazon Connect, enabling faster development of AI-powered agents and workflows. These integrations are aimed at driving adoption within banking, financial services and insurance (BFSI), healthcare, retail, and travel sectors through AWS partnership programmes, including ISV Accelerate and SaaS offerings.
The company's offerings include prebuilt business and industry solutions, which are intended to help organisations empower workers with enterprise search capabilities and improve operational efficiency through intelligent agent support. These solutions also aim to enhance customer service functions via AI assistance for both customers and service representatives, as well as drive better outcomes in knowledge-intensive operations. "By offering Kore.ai products through the AWS Marketplace, we're providing customers with a streamlined way to access our agentic platform and business solutions, helping them buy and deploy AI agent solutions faster and more efficiently. Our customers in BFSI, healthcare, retail and travel industries are already using these capabilities to achieve improved efficiency and speed of business, demonstrating the real-world value. We are also closely working with the AWS team to integrate our AI agents across the stack with Amazon models, GenAI infrastructure, and their platforms such as Amazon Q, Amazon Connect, and Bedrock," said Raj Koneru, CEO and Founder at Kore.ai.
Simplifying procurement
The addition of AI Agents and Tools in AWS Marketplace allows for a more centralised procurement process, reducing the typical time and resources required for vendor assessments and contract negotiations. Customers can use their AWS accounts for the entirety of the transaction, which also helps maintain oversight on licensing, payments, and service access.
Capabilities and features
Kore.ai's AI for Work, AI for Process, and AI for Service offerings provide essential technology components such as prebuilt agents and templates, infrastructure and model-agnostic architecture, as well as support for deep integrations. The provider emphasises security and compliance for enterprise deployments. This combination is designed to help customers deploy AI for a broad spectrum of use cases, supporting scalable implementation across business operations.
Kore.ai's software-as-a-service (SaaS) products support model context protocol (MCP) and Agent2Agent (A2A) technologies, which are intended to facilitate efficient communication between agents and integration with other AWS services. Customers have the option to connect these agents across their existing AWS environments or extend functionality as required.
Follow us on:
Share on:
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
RNZ News
14 hours ago
- RNZ News
Why NZ should be clamping down on deepfake images
technology 42 minutes ago Denmark is set to clamp down on deepfake images, giving citizens copyright over their likeness and voice. A deepfake is an image, video or audio recording which has been digitally altered to appear to be someone else. They have become increasingly sophisticated with the rapid advancement of AI, and recent studies have shown that the vast majority of people can't distinguish between deepfake and real images So are New Zealand laws fit for purpose? Jesse finds out.
Otago Daily Times
4 days ago
- Otago Daily Times
Air NZ sees AI use as 'force for good'
Air New Zealand is working with the organisation behind ChatGPT to expand the use of artificial intelligence to help the airline avoid flight delays. The national carrier was part of a select group around the world given the opportunity to partner with OpenAI, in a first of its kind collaboration in New Zealand. Air New Zealand chief digital officer Nikhil Ravishankar told RNZ's Morning Report programme today the partnership enabled Air New Zealand to roll companion AI out to its corporate workers at pace. It also allowed the airline to "co-create" solutions, Ravishankar said. "So we already have about 1500, what we call, custom GPTs in the organisation. Think of them as sort of rudimentary agents and what Open AI partnership allows us to do is work with their engineering teams and product teams to develop these solutions to solve airline problems, not just for Air New Zealand. "We're hoping that the solutions are also applicable around the world." It also allowed Air New Zealand to become a "test bed" for some of Open AI's more cutting-edge solutions, he said. "So we get first access, early access to some of these tools as they emerge and some of these tools are turning up on almost a weekly basis." The aim was to make Air New Zealand a better airline. Ravishankar said the airline expected to see improvements in on-time performance, integrated planning and how the airline scheduled the network it flies, and service experience for customers including product design in-flight and on the ground. "So almost every aspect of the customer's experience with the airline will be impacted by AI and this partnership going forward." Asked about pricing, Ravishankar said Air New Zealand was already using AI to deal with the cost of flying, which he said was complex. "The hope really is we want it to be a force for good so we are looking at utilising AI to drive more, fairer value-centric outcomes as much as anything else." Asked what this meant, Ravishankar said AI allowed the airline to take into account "a lot more things as we think about how we price an airline seat". "For our regional network for example where we are a lifeline service, we could think of pricing approaches that fulfil that role that we play, versus what we might be doing in say the US market where we're trying to attract premium leisure tourists into the country."
Techday NZ
4 days ago
- Techday NZ
AI data centre market to reach USD $933.76 billion by 2030
The global artificial intelligence data centre market is projected to experience significant growth driven by the increasing demand for AI workloads, data explosion, and big data analytics. Research from MarketsandMarkets estimates that the worldwide AI data centre market will rise from USD $236.44 billion in 2025 to USD $933.76 billion by 2030, registering a compound annual growth rate (CAGR) of 31.6% throughout the forecast period. Market drivers This growth is primarily attributed to the surging demand for AI workloads across multiple industries, including healthcare, finance, and manufacturing. These sectors increasingly rely on high-performance computing infrastructures to manage complex algorithms and process large-scale data sets in real time. In response, companies are making investments in data centres optimised for artificial intelligence, which incorporate advanced hardware such as GPUs, TPUs, and storage systems capable of supporting intense computational loads. Such investments aim to address both the performance needs of AI tasks and the growing quantities of data generated by digital transformation initiatives. While demand is growing, the establishment of AI-centric data centres involves considerable costs. These include the need for specialised hardware, advanced cooling mechanisms to manage the substantial heat generated by high-performance servers, and a workforce with expertise in AI operations and maintenance. This cost barrier may prove significant, particularly for small and mid-sized enterprises looking to adopt AI infrastructure. An emerging trend within the segment is the adoption of environmentally sustainable practices. Organisations are implementing green AI data centres that focus on energy efficiency and reduced carbon footprints as part of efforts to address both cost and regulatory pressures related to sustainability. Compute servers lead The compute server segment is anticipated to command the highest market share in the AI data centre market during the forecast window. Compute servers play a crucial role in deploying AI workloads, especially in domains such as deep learning, natural language processing, and computer vision. These applications require substantial computational power for both training and inference, typically delivered by servers outfitted with GPUs, TPUs, or custom AI accelerators. These advanced servers enable parallel processing and real-time analysis of data, making them an integral component for enterprises deploying AI at scale. As the demand for automation, advanced analytics, and new digital services grows, the market for compute servers tailored for AI purposes continues to expand. Another important factor is the increasing use of AI in hyperscale data centres, which process large volumes of data on a continuous basis. To satisfy these computational requirements, compute servers are increasingly considered the backbone of modern AI data centre architectures. Their reliability and performance are central to the operation of scalable, high-capacity AI systems. Enterprise adoption increases The enterprise segment is projected to register the highest CAGR in the AI data centre market over the forecast period. This is attributed to the widespread digital transformation across industries and a growing emphasis on intelligent, data-driven decision-making for business processes. Enterprises are increasingly deploying AI workloads for a variety of applications, such as predictive maintenance, customer analytics, fraud detection, and automation of routine business tasks. To support these initiatives, many are investing in data centres that are specifically optimised for AI, offering the required computational power and scalability. While hyperscale technology providers have already established robust AI infrastructure, a transition is seen in enterprises actively developing or collaborating to build AI-focused data centre capacity in pursuit of maintaining competitiveness. Industry-specific examples include financial institutions leveraging AI data centres for real-time risk assessment, while healthcare organisations use them for expediting diagnostics and drug discovery. The AI data centre market is witnessing strong growth due to the rising demand for AI workloads across healthcare, finance, and manufacturing sectors. These workloads require high-performance computing infrastructure to process complex algorithms and large-scale data sets in real-time. Companies are investing in AI-optimized data centres that integrate GPUs, TPUs, and advanced storage systems to meet this demand. However, one main constraint is the high implementation cost associated with setting up AI-centric data centres, including investment in specialised hardware, advanced cooling systems, and skilled personnel. This can be a barrier, particularly for small and mid-sized enterprises. An emerging opportunity lies in the increasing adoption of green AI data centres as organisations focus on sustainability and energy efficiency. The growth of AI-as-a-Service (AIaaS) platforms is also granting mid-sized and smaller enterprises access to advanced AI technologies without requiring hefty upfront infrastructure investments. Additionally, government incentives targeted at promoting digital innovation and AI utilisation in sectors such as manufacturing and transportation are further encouraging enterprise spending on AI-capable data centres. With enterprises increasingly transitioning to hybrid cloud and edge computing models, the requirement for data centre infrastructure that is robust, secure, and energy-efficient is accelerating. These trends are expected to underpin the strong market growth expected in the coming years.
