Latest news with #AmazonRedshift
Cision Canada
7 days ago
- Business
- Cision Canada
Gathr.ai Unveils Data Warehouse Intelligence
Enables businesses to converse with their data warehouse and unlock higher quality intelligence, powered by complete data context LOS GATOS, Calif., July 22, 2025 /CNW/ -- today announced the latest addition to its product suite — Data Warehouse Intelligence. Users can now converse with their data warehouse in natural language and unlock higher quality intelligence powered by complete data context. Key highlights: Data context aware AI: Get answers grounded in organizational context — understands users' data, metadata, and business rules. High-fidelity data discourse: Test hypotheses, perform causal reasoning, validate responses, and get actionable recommendations. Day-zero intelligence: Users can connect their data source and start exploring instantly — production-ready from the start. Data-local by design: Runs natively on top of the existing data estate — no migration, rewiring, or re-platforming required. Teams can now ask their data complex 'why', 'what-if', and 'how do I' questions, like 'Why did revenue dip in Q2 for Region B?', 'What's driving it — discount strategy, lead quality, or something else?', 'How do I improve win rates in enterprise deals?' Data Warehouse Intelligence is designed to empower business executives, analytics leaders, analysts, and developers alike: Business executives: Get strategy-shaping answers, instantly, in plain language — with a personal AI expert for brainstorming. Analytics leaders: Democratize access to high-quality intelligence. Boost analyst and developer productivity and increase ROI from the existing stack. Analysts: Reduce grunt work with a personal AI assistant for analysis. Iterate faster with a REPL-style interface. Developers: Instantly feed full data context to AI. Skip the plumbing and ship high quality analytics products in days. Data Warehouse Intelligence, by runs natively on top of leading data warehouses, databases, and federated SQL engines. It supports Snowflake, Amazon Redshift, MS SQL, MySQL, PostgreSQL, Trino, and Starburst, with support for Oracle and BigQuery coming soon. "Data and AI are everywhere today, yet high-quality intelligence remains out of reach for most businesses. Standard tools deliver surface-level responses, disconnected from an organization's specific data context," said P. C. Kiran, CEO, "With Data Warehouse Intelligence, businesses can see what's happening, understand why, and pinpoint exactly how to move forward with confidence. We're thrilled to strengthen our product suite and look forward to helping customers uncover data-backed answers that move business KPIs forward". provides complete flexibility for deployment and provisioning — on-premises, on cloud, in a hybrid environment, or as a fully managed SaaS. This enables businesses to derive intelligence from their data wherever it resides, without reengineering their ecosystem. To learn more, book a demo or sign up for a free trial now. About powers AI with complete data context for higher quality intelligence. With day-zero, high-fidelity data discourse, users can get data-backed answers to the 'why', 'what-if', and 'how do I' questions that drive business KPIs forward. This intelligence is delivered natively on top of the organization's existing data estate — including data warehouses, databases, federated SQL engines, and operational systems. Leading businesses across industries also rely on to build high-performance data pipelines, bespoke Data+AI solutions, and action-driven analytics experiences. Built for builders, delivers speed, performance, and control. It snaps into the existing stack — integrating upstream and downstream systems with no extra plumbing. It gives developers starter-kit agility and full extension flexibility.
Int'l Business Times
01-07-2025
- Business
- Int'l Business Times
Dileep Reddy Cheguri's Vision: Transforming CRM Technology with AI and AWS to Revolutionize Customer Relationships
In today's hyper-competitive business landscape, customer relationship management (CRM) is no longer just about tracking sales and interactions; it's about delivering personalized, seamless, and intelligent experiences. At the forefront of this revolution is Dileep Reddy Cheguri, a visionary technologist who is integrating Artificial Intelligence (AI) and Amazon Web Services (AWS) cloud computing to redefine CRM systems. His innovations are helping businesses build stronger customer relationships, enhance service efficiency, streamline operations, and drive revenue growth. Traditional CRM systems were primarily used for storing customer data, managing contacts, and tracking sales pipelines. While useful, these systems often lacked real-time intelligence, predictive capabilities, and automation. Dileep Reddy recognized early on that AI and cloud computing could transform CRM into a proactive, self-learning system that anticipates customer needs, automates workflows, and delivers actionable insights. By leveraging AWS's scalable infrastructure and AI-powered tools, he has built next-generation CRM solutions that go beyond basic data management. Dileep Reddy's CRM solutions utilize machine learning (ML) and natural language processing (NLP) to analyze vast amounts of customer data, purchase history, social media interactions, support tickets, and more. Predictive Analytics : AI models forecast customer behavior, helping businesses tailor marketing campaigns and offers. : AI models forecast customer behavior, helping businesses tailor marketing campaigns and offers. Sentiment Analysis : NLP evaluates customer feedback (emails, chats, reviews) to detect satisfaction levels and potential churn risks. : NLP evaluates customer feedback (emails, chats, reviews) to detect satisfaction levels and potential churn risks. Hyper-Personalization: AI-driven recommendations provide customized product suggestions and content, increasing engagement. By integrating AWS Lex (for conversational AI) and Amazon Connect (for cloud-based contact centers), Dileep Reddy has enabled businesses to deploy 24/7 AI chatbots that handle routine inquiries, freeing human agents for complex issues. Traditional CRM systems often struggle with scalability, data silos, and security risks. Dileep Reddy's AWS-powered CRM eliminates these challenges by: Elastic Scaling : AWS allows businesses to expand CRM capacity during peak seasons without infrastructure headaches. : AWS allows businesses to expand CRM capacity during peak seasons without infrastructure headaches. Unified Data Ecosystem : AWS services like Amazon Redshift (data warehousing) and S3 (storage) ensure all customer data is centralized and accessible. : AWS services like Amazon Redshift (data warehousing) and S3 (storage) ensure all customer data is centralized and accessible. Enhanced Security: AWS's compliance certifications and encryption protect sensitive customer information. Dileep Reddy's AI-driven CRM automates repetitive tasks, enabling sales and marketing teams to focus on strategy. Some of his key integrated solutions are: Lead Scoring & Prioritization : AI ranks leads based on engagement, likelihood to convert, and revenue potential. : AI ranks leads based on engagement, likelihood to convert, and revenue potential. Automated Email Campaigns : AWS-powered CRM triggers personalized emails based on user behavior (e.g., abandoned cart reminders). : AWS-powered CRM triggers personalized emails based on user behavior (e.g., abandoned cart reminders). Workflow Automation: Routine tasks like data entry, follow-ups, and reporting are handled by AI, reducing human error. Dileep Reddy envisions a future where CRM systems become fully autonomous, leveraging: Generative AI (like AWS Bedrock) for dynamic content creation and customer interactions. IoT Integration to connect CRM with smart devices for real-time customer insights. Blockchain for Secure Customer Data Exchange**, ensuring transparency and trust. Dileep Reddy's integration of AI and AWS into CRM technology is not just an upgrade, it's a complete transformation. Businesses adopting his solutions are seeing faster decision-making, deeper customer relationships, and higher profitability. As AI continues to evolve, Dileep Reddy remains at the cutting edge, ensuring that CRM systems don't just manage relationships, they enhance and predict them. For industries and organizations looking to stay ahead, embracing AI-powered, cloud-based CRM is no longer optional, it's essential. And with pioneers like Dileep Reddy leading the charge, the future of customer engagement has never looked brighter.
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."
