Latest news with #AmazonRedshift
Business Wire
14-05-2025
- Business
- Business Wire
Informatica Launches New Recipes for AI Agents Built with Amazon Bedrock, Achieves the AWS Generative AI Competency
REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, announced today new recipes to develop AI Agents, built with Amazon Bedrock. This service enables joint customers to build, connect, manage and orchestrate intelligent AI agent workflows with trusted data and no-code simplicity. Informatica also announced the achievement of Amazon Generative AI Competency and innovations across its analytics portfolio for AWS services including Amazon Redshift and Amazon SageMaker Lakehouse. 'As a global biopharmaceutical company managing complex data ecosystems, Gilead has adopted Informatica to power our enterprise data foundation with trusted, high quality and mastered data," said Sachin Sontakke, Head of Data & Analytics, R&D, PDM and Tech Ops at Gilead Sciences. 'The integration of Informatica and AWS generative AI services will significantly improve our ability to deliver AI-ready data across our organization.' Recipes for AI Agents Built with Amazon Bedrock Are Generally Available Informatica announced two new recipes for AI agents built with Amazon Bedrock: Supply Chain Management and Simple REACT Agent AI are now generally available. With these Agent recipes, customers can handle natural language queries across Informatica services such as Master Data Management, Data Governance and Catalog, as well as services from AWS, Oracle and Salesforce among others. Informatica's agentic framework provides the data management building blocks and leverages Amazon Bedrock to plan, orchestrate and execute the workflows based on the prompt and provide a summarized response. Amazon Bedrock offers a broad selection of fully managed foundation models from leading AI companies through a single application programming interface (API), with enterprise grade security features and support for Model Context Protocol (MCP). The open standards allow customers to use recipes or building blocks of data management from Informatica to build out agents that will maintain context across multiple foundation model calls while complying with data governance requirements – essential for complex workflows and orchestration across the enterprise systems. CDI Connector for Amazon SageMaker Lakehouse (Private Preview): Informatica announced the private preview of its Cloud Data Integration (CDI) connector for Amazon SageMaker Lakehouse, a fully managed service that combines data lake and data warehouse capabilities, allowing users to store, analyze and build Machine Learning (ML) models using structured and unstructured data in a single, unified environment. Informatica is recognized as a launch partner of Amazon SageMaker Lakehouse. The connector allows customers to ingest data from over 300 enterprise sources with 50,000-plus metadata aware connections and build no-code/low-code pipelines with support for Apache Iceberg Open Table Format. With this enterprise grade connectivity, customers can now analyze and process their data across data warehouse and data lakes regardless of the underlying AWS storage or query engine. SQL ELT for Amazon Redshift: With Informatica's native ELT experience for Amazon Redshift and support for out-of-the-box native Amazon Redshift SQL functions, customers can now run their no-code, high volume data pipelines using the native compute power of Amazon Redshift to simplify data processing and reduce latency and data egress costs. Customers can now also seamlessly use unique Amazon Redshift SQL functions directly from the Informatica Intelligent Data Management Cloud ™ platform. Achievement of AWS Generative AI Competency: Informatica announced it achieved the AWS Generative AI Competency, a specialization that differentiates Informatica as an AWS partner with demonstrated technical proficiency and proven customer success. With AWS Generative AI Competency, Informatica possesses the experience and expertise shown from successful projects in addressing customer challenges, enabling digital transformation strategies and delivering business outcomes powered by Informatica with generative AI technologies from AWS. "Informatica's AI-powered cloud platform is integrating with Amazon Bedrock to build sophisticated AI agents that transform how organizations manage and extract value from their enterprise data," said Rahul Pathak, Vice President, Data & Artificial Intelligence Go-to-Market at AWS. "This collaboration with Informatica showcases how AWS's secure, scalable foundation models help partners accelerate innovation, enabling customers to simplify complex data workflows and turn natural language queries into actionable business insights across their entire data ecosystem." "Our deep collaboration with AWS is helping us deliver significant innovation in enterprise AI," said Krish Vitaldevara, Chief Product Officer at Informatica. "By integrating with Amazon Bedrock's vast selection of foundation models and robust enterprise tools, we're enabling customers to build sophisticated AI agents that intelligently orchestrate workflows across hundreds of enterprise data sources. Furthermore, achieving the AWS Generative AI Competency is a significant milestone in our strategic collaboration with AWS.' These announcements come during Informatica World 2025 in Las Vegas, where GenAI takes center stage. For more information about Informatica's GenAI and other offerings for AWS, visit here. About Informatica Informatica (NYSE: INFA), a leader in AI-powered enterprise cloud data management, helps businesses unlock the full value of their data and AI. As data grows in complexity and volume, only Informatica's Intelligent Data Management Cloud™ delivers a complete, end-to-end platform with a suite of industry-leading, integrated solutions to connect, manage and unify data across any cloud, hybrid or multi-cloud environment. Powered by CLAIRE® AI, Informatica's platform integrates natively with all major cloud providers, data warehouses and analytics tools— giving organizations the freedom of choice, avoiding vendor lock-in and delivering better ROI by enabling access governed data, simplify operations and scale with confidence. Trusted by 5,000+ customers in nearly 100 countries—including over 80 of the Fortune 100—Informatica is the backbone of platform-agnostic, cloud data-driven transformation.
Yahoo
13-05-2025
- Business
- Yahoo
Hexaware Achieves AWS Data and Analytics Competency to Accelerate Data-driven Insights for Enterprises
ISELIN, N.J., May 13, 2025 /PRNewswire/ -- Hexaware (NSE: HEXT), a leading global IT services and solutions provider, today announced that it has achieved the Amazon Web Services (AWS) Data and Analytics Competency. This designation recognizes Hexaware's technical expertise and proven success in helping customers manage and analyze data at scale using AWS cloud-native technologies. With enterprises increasingly seeking to turn data into a competitive asset, Hexaware's AI-first, cloud-native approach simplifies data modernization, improves trust, and speeds up value realization. The competency strengthens the company's ability to support end-to-end data transformation journeys, from strategy and governance to engineering, AI, and analytics. "This achievement reinforces our deep focus on building AI-first, data-driven organizations," said Girish Pai, Global Head – Data and AI, Hexaware. "With this recognition, we aim to help enterprises modernize legacy platforms, enhance decision-making, and drive innovation with AWS. Our domain expertise and secure, easy-to-use frameworks and accelerators empower customers to leverage data effectively while ensuring compliance." Hexaware's Data and AI capabilities on AWS include: Data Strategy and Advisory: Defining governance, quality, and AI readiness frameworks aligned to business goals Data Engineering Services: Designing scalable pipelines using AWS Glue, Amazon Redshift, Amazon EMR, and other AWS services Data Operations and Managed Services: Offering cloud-native monitoring, DevOps, encryption, and backup and recovery for secure, reliable data environments Data Management: Enabling trusted data ecosystems with cataloging, observability, lineage, and quality assurance capabilities Analytics, AI, and Business Solutions: Delivering real-time analytics and industry-specific AI solutions through Amazon SageMaker, Amazon QuickSight, AWS AI Services, and Amazon Q Marketing Data Foundation (MDF): Consolidating quality first-party marketing data into a unique customer identity graph for analytics and activation within AWS Audience Match AI: Automating customer segmentation, analysis, and performance reporting to support marketers in strategy and activation This competency builds on Hexaware's growing portfolio of data-driven transformations across industries. One such example is from the world of sports and fan engagement. Aidan Lyons, CEO, FanCapital, said, "Working with Hexaware and AWS has enabled us to reimagine the fan experience using real-time data and scalable cloud platforms. We're able to deliver personalized, high-impact engagement moments that resonate deeply with audiences. The combination of AWS's infrastructure and Hexaware's data and AI expertise helps us move faster, adapt smarter, and build lasting fan relationships." About Hexaware Hexaware is a global technology and business process services company. Every day, Hexawarians wake up with a singular purpose: to create smiles through great people and technology. With offices across the world, we empower enterprises worldwide to realize digital transformation at scale and speed by partnering with them to build, transform, run, and optimize their technology and business processes. Learn more about Hexaware at Logo: View original content to download multimedia: SOURCE Hexaware Technologies Ltd. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
07-05-2025
- Business
- Yahoo
ServiceNow and AWS Announce Bi-Directional Data Integration and Automated Workflow Orchestration
New solution allows customers to unify data across platforms, leverage powerful analytics on AWS, and seamlessly trigger ServiceNow workflows in real time AWS joins ServiceNow's Workflow Data Network ecosystem to unlock real-time insights, increase AI-driven actions, and create seamless enterprise data unification LAS VEGAS, May 07, 2025--(BUSINESS WIRE)--Knowledge 2025 – Today, at ServiceNow's annual customer and partner event, Knowledge 2025, ServiceNow (NYSE: NOW), the AI platform for business transformation, and Amazon Web Services (AWS) announced a new solution designed to help customers unify and act on enterprise data more efficiently through new, bi-directional data integration and automated workflow orchestration. The solution – part of the ServiceNow Workflow Data Network ecosystem – will unlock real-time insights, increase AI driven actions, and create seamless enterprise data unification. This solution addresses the critical need to break down data silos across IT, operations, customer service, and more. By unifying enterprise datasets on demand, businesses gain holistic, actionable intelligence that powers automated workflows and data-driven decisions. Organizations can bring Amazon Redshift data into ServiceNow with Workflow Data Fabric's zero copy connector to enrich workflows and decision-making, while also integrating ServiceNow data into AWS for advanced analytics, machine learning (ML), and deeper insights. The innovation also accelerates AWS-derived insights – including anomaly detection, predictive analytics, and risk alert – to automatically trigger ServiceNow workflows. This provides a direct, real-time link between insights and action, whether for incident response, customer service resolution, or supply chain optimization. The result is a consistent and responsive digital backbone for modern enterprises, accelerating innovation while reducing manual effort. "At ServiceNow, we believe AI is only as powerful as the underlying data," said Gaurav Rewari, senior vice president and general manager, Data & Analytics, at ServiceNow. "With real-time access to the critical data AWS delivers, we're enabling AI-driven insights to seamlessly power workflows – turning data into meaningful business outcomes. Together, we are helping customers break down data siloes and accelerate AI transformation at scale." "Our customers want faster ways to turn data into automated outcomes," said Chris Grusz, Managing Director, Technology Partnerships at AWS. "By joining forces with ServiceNow, we're giving them a robust, secure way to unify data in real-time, harness AWS analytics, and instantly execute workflows on the ServiceNow platform."
Business Wire
07-05-2025
- Business
- Business Wire
ServiceNow and AWS Announce Bi-Directional Data Integration and Automated Workflow Orchestration
LAS VEGAS--(BUSINESS WIRE)-- Knowledge 2025 – Today, at ServiceNow's annual customer and partner event, Knowledge 2025, ServiceNow (NYSE: NOW), the AI platform for business transformation, and Amazon Web Services (AWS) announced a new solution designed to help customers unify and act on enterprise data more efficiently through new, bi-directional data integration and automated workflow orchestration. The solution – part of the ServiceNow Workflow Data Network ecosystem – will unlock real-time insights, increase AI driven actions, and create seamless enterprise data unification. This solution addresses the critical need to break down data silos across IT, operations, customer service, and more. By unifying enterprise datasets on demand, businesses gain holistic, actionable intelligence that powers automated workflows and data-driven decisions. Organizations can bring Amazon Redshift data into ServiceNow with Workflow Data Fabric's zero copy connector to enrich workflows and decision-making, while also integrating ServiceNow data into AWS for advanced analytics, machine learning (ML), and deeper insights. The innovation also accelerates AWS-derived insights – including anomaly detection, predictive analytics, and risk alert – to automatically trigger ServiceNow workflows. This provides a direct, real-time link between insights and action, whether for incident response, customer service resolution, or supply chain optimization. The result is a consistent and responsive digital backbone for modern enterprises, accelerating innovation while reducing manual effort. 'At ServiceNow, we believe AI is only as powerful as the underlying data,' said Gaurav Rewari, senior vice president and general manager, Data & Analytics, at ServiceNow. 'With real-time access to the critical data AWS delivers, we're enabling AI-driven insights to seamlessly power workflows – turning data into meaningful business outcomes. Together, we are helping customers break down data siloes and accelerate AI transformation at scale.' 'Our customers want faster ways to turn data into automated outcomes,' said Chris Grusz, Managing Director, Technology Partnerships at AWS. 'By joining forces with ServiceNow, we're giving them a robust, secure way to unify data in real-time, harness AWS analytics, and instantly execute workflows on the ServiceNow platform.' An enhancement to ServiceNow Workflow Data Fabric capabilities, Workflow Data Network is a new ecosystem of data platforms, applications, and enterprise tools that unifies business and technology data across the enterprise. Through partnerships with leading AI and data platforms like AWS Redshift, customers can activate ServiceNow workflows directly within these ecosystems, bridging the gap between insights and action, and ensuring they can harness the full potential of their data. The zero copy integration will be available soon and will give customers the ability to combine the power of the AWS Cloud with the ServiceNow AI Platform to power their businesses with AI. "As a long-time user of both AWS and ServiceNow, this bi-directional data integration is a game-changer for us," said Ray August, EVP and President at DXC Technology. 'This ability to seamlessly connect our data on Amazon Redshift with the ServiceNow platform using zero copy unlocks powerful AI-driven insights, enabling us to make faster, smarter decisions, and drive significant business outcomes across our organization.' Availability Businesses interested in exploring this joint solution can learn more and request early access. About ServiceNow ServiceNow (NYSE: NOW) is putting AI to work for people. We move with the pace of innovation to help customers transform organizations across every industry while upholding a trustworthy, human centered approach to deploying our products and services at scale. Our AI platform for business transformation connects people, processes, data, and devices to increase productivity and maximize business outcomes. For more information, visit: ©2025 ServiceNow, Inc. All rights reserved. ServiceNow, the ServiceNow logo, Now, and other ServiceNow marks are trademarks and/or registered trademarks of ServiceNow, Inc. in the United States and/or other countries. Other company names, product names, and logos may be trademarks of the respective companies with which they are associated.
Yahoo
10-02-2025
- Business
- Yahoo
Enterprise Data Management Market to USD 247.0 Billion by 2032, owing to growing data complexities - Research by SNS Insider
Rising data complexities and the growing need for data-driven decision-making are propelling the demand for enterprise data management solutions. Pune, Feb. 10, 2025 (GLOBE NEWSWIRE) -- Enterprise Data Management Market Size Analysis: 'The SNS Insider report indicates that the Enterprise Data Management Market size was valued at USD 95.3 billion in 2023 and is expected to grow to USD 246.98 billion by 2032, growing at a CAGR of 11.20% over the forecast period of 2024-2032.' Driving Growth in the Enterprise Data Management Market: The Impact of Data Complexity, Analytics, and Cloud Adoption. The growth of the enterprise Data Management market is fueled by rising data complexity and volume in organizations. Since businesses have been producing terabytes of structured and unstructured data, plenty of data has to be stored, managed, and analyzed. Data-driven decision-making is one of the key market trends, as enterprises are leveraging advanced data analytics for insights, operational efficiency, and customer experience. Moreover, the need to adhere to data governance and privacy regulations like GDP has driven the demand for data management systems. Cloud-based offerings are further fueling growth, as they offer scalability, cost-efficiency, and improved accessibility of data. The need for strong EDM solutions to enable analytics, integration, and governance, will only increase as companies march toward digital a Sample Report of Enterprise Data Management Market@ Major Players Analysis Listed in this Report are: Inc. (Amazon Redshift, Amazon S3) Broadcom (CA Database Management Solutions for DB2, DX AIOps) Cloudera, Inc. (Cloudera Data Platform, Cloudera Data Engineering) Informatica Inc. (Informatica PowerCenter, Informatica Intelligent Data Management Cloud) International Business Machines Corporation (IBM) (IBM InfoSphere Information Server, IBM Cloud Pak for Data) LTIMindtree Limited (LTIMindtree Mosaic Data Platform, LTIMindtree Data Analytics Solutions) Open Text (OpenText Magellan, OpenText Analytics Suite) Oracle Corporation (Oracle Autonomous Database, Oracle Data Integration Platform) SAP SE (SAP HANA, SAP Data Intelligence) Teradata Corporation (Teradata Vantage, Teradata IntelliCloud) Commvault (Commvault Complete Data Protection, Commvault Data Governance) Talend (Talend Data Fabric, Talend Data Integration) Microsoft Corporation (Azure Synapse Analytics, Azure Data Factory) Google LLC (Google BigQuery, Google Cloud Dataflow) Snowflake Inc. (Snowflake Data Cloud, Snowflake Data Marketplace) Alteryx, Inc. (Alteryx Designer, Alteryx Intelligence Suite) Qlik Technologies Inc. (Qlik Sense, Qlik Data Integration) Domo, Inc. (Domo BI Platform, Domo Appstore) Tableau Software (a Salesforce company) (Tableau Desktop, Tableau Prep Builder) SAS Institute Inc. (SAS Data Management, SAS Viya) Enterprise Data Management Market Report Scope: Report Attributes Details Market Size in 2023 US$ 95.26 Billion Market Size by 2032 US$ 246.28 Billion CAGR CAGR of 11.2 % From 2024 to 2032 Base Year 2023 Forecast Period 2024-2032 Historical Data 2020-2022 Key Regional Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) Key Growth Drivers • Surge in Data Usage and Real-Time Analytics Driving Robust Growth in the Enterprise Data Management Market• Rising Data Privacy Regulations and Cybersecurity Threats Drive the Adoption of Enterprise Data Management Solutions Do you have any specific queries or need any customization research on Enterprise Data Management Market, Make an Enquiry Now@ Enterprise Data Management Market by Component: Dominance of Software and Rapid Growth of Services Segment Software dominated the market and holds the significant revenue share of the Enterprise Data Management Market due to widespread acceptance of data management solutions to optimize enterprise workflows. Data management tools allow organizations to securely store and analyze large volumes of data. In fields like finance, healthcare, and retail where strict compliance and instantaneous decisions are vital, this becomes critical. The services is anticipated to witness the fastest growth in terms of CAGR, during the forecast period. With more organizations embracing sophisticated data management platforms, the need for expert services to ensure smooth implementation and continued support is on the rise. A shift in the services market to deliver high-value & high-contact data solutions, tailored for scale & security. Enterprise Data Management Market by Enterprise Size: Dominance of Large Enterprises and Rapid Growth of SMEs Large enterprises dominated the Enterprise Data Management Market and represented a revenue share of more than 55% in 2023 as they often have complex data needs, large-scale operations, and larger budgets to spend on sophisticated data management solutions. Small & Medium Enterprises are expected to record the fastest CAGR in the forecast period. SMEs growing more and more aware of the need for data-driven decision-making, and data management solutions that are cheaper, more scalable, and cloud-based are gaining traction among the SMEs. Some of this new found success is propelled by the advancement of AI in a way that allows for data management tools that were previously the domain to only the largest of organizations. Enterprise Data Management Market Segmentation: By Deployment Type Cloud On-premise By Component Type Software Service By Enterprise Size Small & Medium Enterprises (SMEs) Large Enterprises By Function Type Data Warehouse Data Governance Data Integration Data Security Master Data Management Others By Industry Type BFSI Retail Healthcare IT & Telecom Manufacturing Government OthersBuy an Enterprise-User PDF of Enterprise Data Management Market Analysis & Outlook 2024-2032@ Enterprise Data Management Market by Deployment: Cloud Dominance and Rapid Growth of On-premise Solutions The cloud segment dominated the Enterprise Data Management Market and accounted for 51% of revenue share. Driven by, scalable, more cost-effective, and flexible cloud-based platforms, In addition to that, cloud deployments allow real-time data access and collaboration, which is very essential in this day and age for business. The increasing adoption of Software-as-a-Service models and improvements in cloud security will likely continue to drive the growth of the cloud segment over the forecast period. The on-premise segment is expected to record the fastest CAGR during the forecast period. Although the cloud is ubiquitous, some enterprises still choose on-premise solutions to avoid challenges with data security, control, and compliance. Enterprise Data Management Market Regional Landscape: North America's Dominance and Asia-Pacific's Rapid Growth North America dominated the Enterprise Data Management Market and accounted for 33% of the revenue share owing to the presence of major technology companies, faster digital transformation, and strong regulatory frameworks. A large wave of data management solutions has penetrated all sectors of the economy, especially the era, and in the U.S. market, in particular, thanks to the requirements of compliance and also the climate and time of decision making. The Enterprise Data Management market in the Asia-Pacific region is also the fastest-growing market due to digital technology adoption in emerging economies such as China and India. With the stride towards digitalization among businesses in this region, the need for sound Data Management Solutions is on the rise. Moreover, the growth of e-commerce coupled with increased data privacy concerns and regulatory requirements are compelling organizations to adopt effective data governance and management solutions. "Key Developments in Enterprise Data Management: IBM's AI-powered Platform and Microsoft's Enhanced Azure Solution" In March 2024, IBM introduced a new AI-powered data management platform that helps enterprises manage and govern their data more effectively, improving decision-making processes and compliance. In February 2024, Microsoft launched its latest Azure Data Management solution, offering enhanced data governance features, and integrating machine learning capabilities for predictive analytics. Table of Contents – Major Key Points 1. Introduction 2. Executive Summary 3. Research Methodology 4. Market Dynamics Impact Analysis 5. Statistical Insights and Trends Reporting 6. Competitive Landscape 7. Enterprise Data Management Market Segmentation, By Deployment Type 8. Enterprise Data Management Market Segmentation, By Component Type 9. Enterprise Data Management Market Segmentation, By Enterprise Size 10. Enterprise Data Management Market Segmentation, By Function Type 11. Enterprise Data Management Market Segmentation, By Industry Type 12. Regional Analysis 13. Company Profiles 14. Use Cases and Best Practices 15. Conclusion Access Complete Report Details of Enterprise Data Management Market Analysis Report 2024-2032@ [For more information or need any customization research mail us at info@ SNS Insider Offering/ Consulting Services: Go To Market Assessment Service Total Addressable Market (TAM) Assessment Competitive Benchmarking and Market Share Gain About Us: SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world. CONTACT: Contact Us: Jagney Dave - Vice President of Client Engagement Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)
