Latest news with #AzureOpenAI
The Hindu
30-07-2025
- Business
- The Hindu
IT Minister Lokesh seeks establishment of Microsoft Experience Zone in Andhra Pradesh
Andhra Pradesh Minister for HRD, IT, Electronics, and RTG Nara Lokesh visited the Microsoft Experience Center in Singapore on Wednesday, and held discussions with Microsoft's Head of Government Affairs Markus Loh, SELA Head Jasmin Begum, and CTO Mark Saus. During the meeting, Mr. Lokesh proposed the establishment of a Microsoft Experience Zone, or Technology Station, in Andhra Pradesh to foster and incorporate Generative AI-based solutions. Hackathon Mr. Lokesh invited Microsoft to organise a hackathon in 2026 at Amaravati's Quantum Valley Tech Park, utilising Azure OpenAI services and Microsoft Copilot. He assured full support from the State Government for necessary infrastructure. He also suggested harnessing the State's talent pool to develop a skilled workforce in Generative AI, Hybrid Cloud, and Microsoft technologies, in partnership with the Microsoft Experience Centre. Microsoft representatives explained the visiting delegation that the experience centre was designed to support businesses, consumers, and observers in the areas such as retail and education. The centre offered executive briefings, innovation workshops, hands-on labs, and demonstrations of digital transformation solutions. It was widely used by major clients such as IBM, Dell, and public sector organisations. They also highlighted the IBM-Microsoft Experience Zone, which showcases AI-based business solutions. The delegation observed how Artificial Intelligence (AI) was transforming sectors such as healthcare, financial services, manufacturing, and consumer industries at the AI-powered GoStore. Chip design facility In his meeting with IVP Semi founder Raja Manickam, Mr. Lokesh discussed semiconductor investment opportunities in the State and invited the company to establish a chip design, or semiconductor equipment manufacturing facility. He proposed leveraging IVP's expertise to support local MSMEs and build a robust semiconductor ecosystem. Responding to it, Mr. Raja Manickam assured that his executive team would seriously evaluate the proposals. In his meeting held with DTDS Group CEO B.S. Chakravarthy, Mr. Lokesh urged collaboration with A.P.-based MSMEs in the semiconductor sector, and expressed confidence in the State's potential to become a vital player in India's growing semiconductor landscape, alongside Tamil Nadu. GCC in Vizag Mr. Lokesh also met Yano Tomokazu, Managing Director of ABeam Consulting, and invited it to establish a Global Capability Centre (GCC) in Visakhapatnam, highlighting its growing reputation as an emerging IT and digital services hub. Mr. Tomokazu, while noting ABeam's expertise in digital transformation, AI, cloud, and cybersecurity, with over 1,200 consultants across Southeast Asia, said the company was focusing on SAP-based services in India, and assured that the proposal would be seriously evaluated. Mr. Lokesh later met Infineon President and MD C.S. Chua, wherein he proposed the setting up of semiconductor packaging and testing units in Andhra Pradesh's Electronics Manufacturing Clusters (EMCs) and industrial parks. He also highlighted opportunities for collaboration with the State's growing EV ecosystem, particularly in the regions such as Tirupati Sri City, Anantapur, and Krishna district, encouraging joint efforts in producing power modules, inverters, and Battery Management Systems (BMS). Software parks During a meeting with CapitaLand Investments CEO Sanjiv Das Gupta, he invited the firm to develop IT and software parks in Visakhapatnam and Vijayawada, citing the trend of software companies moving to Tier-2 cities. Mr. Das Gupta responded positively and assured that the proposals would be evaluated internally.
Techday NZ
30-07-2025
- Business
- Techday NZ
Teradata upgrades ModelOps for scalable enterprise AI use
Teradata has introduced ModelOps updates to its ClearScape Analytics offering, targeting streamlined integration and deployment for Agentic AI and Generative AI applications as organisations transition from experimentation to production at scale. ModelOps platform The updated ModelOps platform aims to support analytics professionals and data scientists with native compatibility for open-source ONNX embedding models and leading cloud service provider large language model (LLM) APIs, including Azure OpenAI, Amazon Bedrock, and Google Gemini. With these enhancements, organisations can deploy, manage, and monitor AI models without having to rely on custom development, with newly added LLMOps capabilities designed to simplify workflows. For less technical users such as business analysts, ModelOps also integrates low-code AutoML tools, providing an interface that facilitates intuitive access for users of different skill levels. The platform's unified interface is intended to reduce onboarding time and increase productivity by offering consistent interactions across its entire range of tools. Challenges in AI adoption Many organisations encounter challenges when progressing from AI experimentation to enterprise-wide implementation. According to Teradata, the use of multiple LLM providers and the adoption of various open-source models can cause workflow fragmentation, limited interoperability, and steep learning curves, ultimately inhibiting wider adoption and slowing down innovation. Unified governance frameworks are often lacking, making it difficult for organisations to maintain reliability and compliance requirements as they scale their AI capabilities. These issues may cause generative and agentic AI projects to remain in isolation, rather than delivering integrated business insights. As a result, organisations could lose value if they are unable to effectively scale AI initiatives due to operational complexity and fragmented systems. Unified access and governance "The reality is that organisations will use multiple AI models and providers - it's not a question of if, but how, to manage that complexity effectively. Teradata's ModelOps offering provides the flexibility to work across combinations of models while maintaining trust and governance. Companies can then move confidently from experimentation to production, at scale, realising the full potential of their AI investments," said Sumeet Arora, Teradata's Chief Product Officer. Teradata's ModelOps strategy is designed to provide unified access to a range of AI models and workflows, while maintaining governance and ease of use. This is intended to allow business users to deploy AI models quickly and safely, supporting both experimentation and production use. An example scenario described by Teradata involved a bank seeking to improve its digital customer experience and retention rates by analysing customer feedback across channels. The unified ModelOps platform would allow the bank to consolidate multiple AI models - such as LLMs for sentiment analysis, embedding models for categorisation, and AutoML for predictive analytics - within one environment. The aim is to equip both technical and non-technical teams to act on customer intelligence at greater speed and scale. Key features The updated ModelOps capabilities in ClearScape Analytics include: Seamless Integration with Public LLM APIs : Users can connect with APIs from providers such as Azure OpenAI, Google Gemini, and Amazon Bedrock for a variety of LLMs, including Anthropic, Mistral, DeepSeek, and Meta. This integration supports secure registration, monitoring, observability, autoscaling, and usage analytics. Administrative options are available for retry policies, concurrency, and health or spend tracking at the project or model level. : Users can connect with APIs from providers such as Azure OpenAI, Google Gemini, and Amazon Bedrock for a variety of LLMs, including Anthropic, Mistral, DeepSeek, and Meta. This integration supports secure registration, monitoring, observability, autoscaling, and usage analytics. Administrative options are available for retry policies, concurrency, and health or spend tracking at the project or model level. Managing and monitoring LLMs with LLMOps : The platform supports rapid deployment of NVIDIA NIM LLMs within GPU environments. Features include LLM Model Cards for transparency, monitoring, and governance, as well as full lifecycle management - covering deployment, versioning, performance tracking, and retirement. : The platform supports rapid deployment of NVIDIA NIM LLMs within GPU environments. Features include LLM Model Cards for transparency, monitoring, and governance, as well as full lifecycle management - covering deployment, versioning, performance tracking, and retirement. ONNX Embedding Model Deployment : ClearScape Analytics natively supports ONNX embedding models and tokenisers, including support for Bring-Your-Own-Model workflows and unified deployment processes for custom vector search models. : ClearScape Analytics natively supports ONNX embedding models and tokenisers, including support for Bring-Your-Own-Model workflows and unified deployment processes for custom vector search models. Low-Code AutoML : Teams can create, train, monitor, and deploy models through an accessible low-code interface with performance monitoring and visual explainability features. : Teams can create, train, monitor, and deploy models through an accessible low-code interface with performance monitoring and visual explainability features. User Interface Improvements: The upgrade provides a unified user experience across all major tools, such as AutoML, Playground, Tables, and Datasets, with guided wizards and new table interaction options aimed at reducing skill barriers. Availability of the updated ModelOps in ClearScape Analytics is anticipated in the fourth quarter for users of AI Factory and VantageCloud platforms. Follow us on: Share on:
Techday NZ
30-07-2025
- Business
- Techday NZ
Litera unveils generative AI tools to transform Kira platform
Litera has introduced a suite of generative AI-powered services now available directly within Kira, its due diligence and contract review platform for legal professionals. The enhanced functionality forms part of all Kira subscriptions, requiring no separate setup and eliminating the need for users to provide an Azure OpenAI key. The new features build on Kira's existing predictive AI and traditional search technologies and are powered by Litera AI+. Functionality update With the addition of generative AI, Kira users can analyse documents across various languages and jurisdictions, aiming to increase speed, accuracy, and compliance. The AI capabilities are designed to streamline case workflows, highlight potential risks and emerging trends, and decrease the time spent on document review processes. Adam Ryan, Chief Product Officer at Litera, said: "The re-engineering of Kira with GenAI represents a transformative leap forward for legal teams everywhere - accelerating contract analysis across languages and jurisdictions. By empowering our users with instant, smarter contract analysis and seamless compliance tools, we are redefining what's possible in legal technology and ensuring our clients are always ahead of the curve." New tools The updated Kira platform includes several developments. Generative smart fields allow for the creation of custom fields in any language using a prompt, which does not require coding or training cycles. This capability is intended to enable quicker insights across more document types, going beyond Kira's existing 1,400 built-in smart fields. Kira users will also have access to a grid-based workflow, which features a new tabular layout for contract and document reviews. The layout provides an immediate overview of risks and trends by displaying extracted language and answers, and it enables interaction with documents via chat. Legal teams can also create smart fields within this interface. These features are available for preview and user feedback among cloud customers in the form of the new Analysis Chart. Additional enhancements include concept search, which uses predictive AI based on large language model technology to enable identification of legal concepts across project documents from a single example. Project-level generative AI governance offers compliance options, allowing legal teams to enable or disable Litera AI+ features specific to client or project needs. Expanded ecosystem Litera has also recently introduced Lito, an AI legal agent integrated into its Litera One portfolio. Lito is designed to work in conjunction with Kira, adapting to different case requirements, user groups, and document complexities. Together, these tools intend to provide support for collaboration, analysis, and document summarisation for legal teams. Kira's Rapid Clause Analysis functionality identifies and organises clauses across documents, supporting efficiency and consistency, while Kira Smart Summaries allow teams to generate client memo-ready summaries from organised clauses using Litera AI+. A newly designed search architecture is also included, which produces results more quickly - even in larger matters with tens of thousands of documents - and powers the latest generative AI functions in Kira's revised interface. Market context Kira has been recognised in the industry for its contract review functionality, including Tier 1 ranking in Legaltech Hub's 2025 Contract Review Competitive Analysis for the second consecutive year. The platform caters to sectors such as mergers and acquisitions, private equity, real estate, and finance. According to Litera, the updates are aligned with helping legal teams meet client expectations and requirements through accelerated document analysis and risk assessment, while offering informed decision support across a variety of legal document types.
Cision Canada
29-07-2025
- Business
- Cision Canada
MNP collaborates with Microsoft to deliver transformative agentic AI solutions to the mid-market Français
CALGARY, AB, July 29, 2025 /CNW/ - MNP is deepening their relationship with Microsoft to empower Canadian mid-market organizations to accelerate their AI journeys. Through the launch of MNP's AI Foundry – a dedicated innovation hub that guides organizations through every stage of their AI journey, from identifying opportunities to scaling production-ready solutions – MNP is investing in the tools, talent, and technology to help organizations securely and responsibly reinvent their business functions with generative and agentic AI. MNP has been an early adopter and user of Microsoft generative AI solutions like Microsoft 365 Copilot and Azure OpenAI, in Azure AI Foundry. MNP has benefited from a 193 percent increase in proposal output, 75 minutes saved per meeting, and a 30 percent reduction in content development costs. With over 98 percent active utilization of Copilot licenses, the Firm's adoption strategy is already delivering tangible results. "From deploying 6,300 Microsoft 365 Copilot licenses to building Azure OpenAI-powered agents, we're embedding intelligence into all areas of our technology ecosystem," said Adel Elassal, CIO of MNP. "AI isn't an add-on for us — it's the operating system of the modern firm." MNP's Digital Services clients are realizing similar benefits. MNP's AI Foundry offers the technology, transformation, and industry insights that mid-market organizations need to accelerate and scale their use of M365 Copilot and agents across their businesses. In collaboration with Microsoft, MNP is developing templates, extensions, and connectors that enable clients to leverage their data and generative AI to reduce costs, improve efficiency, and drive growth — delivering a seamless path from idea to impact. "As Microsoft has established a dominant position in the AI space, we are leveraging that leadership by combining our industry knowledge and technical expertise to deliver best-in-class AI solutions for the mid-market," says Ahmed Otmani Amaoui, MNP's Microsoft Practice Leader. Microsoft recently recognized MNP's Digital Services practice by awarding it the Microsoft Inner Circle for Business Applications Excellence and designating it as a worldwide featured Microsoft Fabric partner. These awards, among others, reflect MNP's focus on building generative and agentic AI solutions using a business-focused approach. MNP's collaboration with Microsoft is having demonstrable impact across MNP's client base. In the public sector, MNP co-developed a citizen-facing agent to streamline municipal services. In healthcare, the Firm has helped automate nurse intake processes, freeing up frontline staff for patient care. In financial services, MNP is enabling banks to realize operational efficiencies through AI-powered automation. "Our collaboration with Microsoft positions MNP as Canada's go-to advisor for responsible, business-first AI," says Sean Murphy, MNP's National Digital Solutions Leader. "By combining Microsoft's relentless innovation with our sector expertise, we're helping Canadian organizations compete on a completely new playing field." "MNP's rapid evolution into a Frontier firm is a testament to its bold vision and deep commitment to innovation. By combining Microsoft's cutting-edge AI platforms with MNP's unique insight, sector know-how, and IP, we're empowering medium enterprise customers to accelerate their AI value realization — not just with tools, but with transformative outcomes." Ehsan Youssef, Small, Medium Enterprise & Channel Leader at Microsoft Canada. MNP: Canada's business advisor National in scope and local in focus, MNP provides client-focused accounting, consulting, tax, and digital services in more than 150 communities from coast to coast. Founded in Brandon, Manitoba in 1958, we are proud to be born and raised in Canada and committed to the success of Canadian individuals, businesses, and organizations. Our advisors deliver personalized strategies and made-in-Canada solutions to help you reach your full potential — wherever business takes you.
Cision Canada
28-07-2025
- Business
- Cision Canada
FNZ Announces Strategic Partnership with Microsoft to Accelerate the Transformation of the Wealth Management Industry
FNZ and Microsoft have entered a global, five-year strategic partnership to accelerate digital transformation across the wealth management industry. The partnership strengthens FNZ's global platform by enhancing its AI, automation and cloud capabilities. The goal is to drive value for financial institutions and their clients by enhancing operational efficiency, accelerating innovation and increasing speed to market. The collaboration includes co-innovation, joint go-to-market initiatives and the development of new AI-powered digital wealth solutions. LONDON, July 28, 2025 /CNW/ -- FNZ, a leading end-to-end wealth management platform has today announced a global, five-year strategic partnership with Microsoft to transform the wealth management industry through technology, innovation and AI-driven digital solutions. The partnership combines FNZ's industry-leading technology, wealth management expertise and global reach with Microsoft's advanced AI capabilities, cloud infrastructure and engineering excellence. By integrating Microsoft Azure AI Foundry at the heart of its platform, FNZ is redefining how financial institutions, advisors and their clients interact by delivering more personalized, intelligent and resilient digital wealth management experiences. This collaboration with Microsoft accelerates this transformation by helping FNZ bring new solutions to market faster, enhance client outcomes, boost advisor productivity and drive innovation across industry. With more than 650 financial institution partners, over 26 million end investors and close to $2 trillion in assets under administration, FNZ brings scale to the partnership. This provides access to one of the largest wealth management data sets in the world, enabling the powerful application of AI, cloud technologies and analytics to deliver deeper insights, greater personalization and better outcomes for advisors, clients and institutions alike. Partnership Highlights Through the partnership, FNZ will work with Microsoft to deliver advanced AI tools, drive new technology development and collaborate on joint go-to-market initiatives, including: Creating a next-generation advisor and investor experience: FNZ will integrate Azure AI Foundry capabilities, including Azure OpenAI in Foundry Models, into its market-leading platform to provide enhanced personalization, greater efficiency and a next-generation user experience. Innovative applications for data and analytics: FNZ will utilize Microsoft Fabric to strengthen its data and analytics capabilities, delivering deeper insights tailored to the unique needs of wealth managers and advisors. Co-development and joint engineering: FNZ will develop new digital wealth solutions by embedding Azure AI Foundry into FNZ's global platform. Joint engineering teams will accelerate product innovation, enhance platform intelligence, and deliver secure, scalable services that strengthen risk management, compliance and resilience. FNZ will also deploy GitHub Copilot across its engineering teams to boost developer productivity and innovation. Resilience and scalability: By combining FNZ's market-leading platform and delivery capabilities with Microsoft's technologies and tooling, the partnership will help create more resilient, scalable and industrial-strength solutions for financial institutions. Enhancing operational efficiency: FNZ will also deploy Microsoft 365 Copilot and intelligent agents to support middle- and back-office processes. Global joint go-to-market: FNZ will collaborate with Microsoft on joint go-to-market activities, including the development and deployment of modular wealth solutions through multiple channels, including the Microsoft Marketplace, alongside coordinated global marketing initiatives and joint participation in industry events. Roman Regelman, Group President, FNZ, said:"FNZ has always been at the forefront of innovation in wealth-management technology. Partnering with Microsoft allows us to accelerate our AI-led roadmap and enhances our ability to deliver personalized, intelligent and resilient solutions to our clients, strengthening our position of leadership." "Together, we are not just upgrading technology. We are setting a new standard for how wealth management is delivered. Partnering with Microsoft further advances our mission to open up wealth, by making investing more accessible to more people worldwide." Bill Borden, Corporate Vice President, Worldwide Financial Services, Microsoft, said:"Our partnership brings together Microsoft's AI and cloud technologies with FNZ's global platform and expertise in wealth management to deliver insights that will lead to more impactful and personalized experiences for advisors and their clients. Together, we're helping financial institutions lead as Frontier Firms by reimagining their operations through agentic AI, accelerating innovation, and unlocking new value across the wealth management ecosystem." FNZ is backed by some of the world's largest institutional shareholders, including Caisse de dépôt et placement du Québec (La Caisse), Canada Pension Plan Investment Board (CPP Investments), Generation Investment Management and Motive Partners.
