Latest news with #Retrieval-AugmentedGeneration
Asahi Shimbun
2 days ago
- Asahi Shimbun
Media renews criticism of AI firms ignoring copyright laws
The Japan Newspaper Publishers and Editors Association, based in Tokyo's Chiyoda Ward, includes more than 100 member newspapers and broadcasters from across the nation. (Ryo Sanada) A major Japanese mass media association is accusing artificial intelligence companies of violating copyright protections by collecting, using and regurgitating information scraped from news articles after explicitly being denied permission to do so. In a statement released June 4, the Japan Newspaper Publishers and Editors Association called on AI companies to comply with existing rules, and urged the government to establish and enforce systems to protect content creators and uphold intellectual property rights. In response to the recent rise of Retrieval-Augmented Generation (RAG) systems and other AI technology, many news organizations in Japan have set their websites to explicitly prohibit the use of their content by generative AI. Nevertheless, the association states there have been confirmed instances of AI firms ignoring these restrictions and unlawfully using association members' content—including as clear references in RAG systems. Citing the Cultural Affairs Agency's 2024 guidance on AI and copyright, the association noted that such unauthorized use likely constitutes copyright infringement. RAG systems, which use generative AI to search the web for information and generate responses to user questions, have seen a massive boom in popularity. However, this practice has raised concerns about a growing trend known as 'zero-click search,' where users read only the AI-generated responses without clicking through to the original news sources of the information. Media groups warn that, in addition to potentially generating misinformation, this can throttle traffic to legitimate news sites and ultimately threaten the sustainability of professional journalism. The association's statement described the practice as 'freeriding on news content' and warned that undermining news organizations could 'threaten the public's right to know.'
Business Wire
19-05-2025
- Business
- Business Wire
DDN Teams With NVIDIA to Help Enterprises Transform Unstructured Data into AI-Driven Business Value
CHATSWORTH, Calif.--(BUSINESS WIRE)-- DDN ®, the global leader in AI and data intelligence solutions, today announced it is redefining enterprise infrastructure by turning storage into an intelligent, AI-native platform that fuels real-time insight, faster decisions, and measurable impact with the NVIDIA AI Data Platform reference design. DDN solutions built with the design in collaboration with NVIDIA empower organizations to unlock the business potential of generative AI by simplifying how they store, access, and activate their most valuable asset: unstructured data. In the age of agentic AI platforms and scalable AI factories, enterprises must fundamentally reimagine their relationship with data. It's no longer just about storing information—it's about activating it. Data has become the fuel, the fabric, and the foundation of competitive advantage. 'At DDN, we are not just keeping pace with this transformation—we're defining it,' said Santosh Erram, Global Head of Partnerships—NVIDIA and Hyperscaler, at DDN. 'If your data infrastructure isn't purpose-built for AI, then your AI strategy is already at risk. DDN is where data meets intelligence, and where the future of enterprise AI is being built.' Turning Unstructured Data into Action With more than 90% of new data being unstructured—ranging from documents and videos to code and conversations—organizations are sitting on a goldmine of insights. But traditional systems weren't designed to support the speed, scale, and intelligence that AI now demands. The solution from DDN and NVIDIA solves this by combining DDN Infinia ™, an AI-native data platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA Networking. This enables enterprises to deploy Retrieval-Augmented Generation (RAG) pipelines and intelligent AI applications grounded in their own proprietary data—securely, efficiently, and at scale. 'Intelligent storage is key to transforming enterprise data into real-time intelligence for agentic AI reasoning,' said Pat Lee, vice president, Enterprise Strategic Partnerships at NVIDIA. 'Together, DDN and NVIDIA are building storage systems with accelerated computing, networking, and software to drive AI applications that can automate operations and amplify people's productivity.' Business Outcomes That Matter Across industries—from finance and healthcare to telecom and manufacturing—organizations using DDN and NVIDIA solutions are realizing transformative results: Accelerated decision-making through conversational access to internal knowledge Enhanced customer engagement with domain-specific chatbots and digital assistants Lower total cost of ownership by reducing infrastructure sprawl and maximizing AI throughput Stronger data governance through on-prem, hybrid, or sovereign deployment models Infrastructure for the AI Factory Era Leading AI adopters are no longer just running pilots—they are building AI factories: repeatable, scalable pipelines that turn data into decisions. This next phase of enterprise AI requires a new foundation—one where storage is intelligent, high-performance, and seamlessly connected to AI pipelines. 'AI has changed the rules—and DDN is redefining what enterprise data infrastructure must look like,' said Sven Oehme, CTO and President at DDN. 'Our work with NVIDIA accelerates time-to-value and allows enterprises to move faster and smarter in the AI economy.' Explore NVIDIA's AI Data Platform at or learn more about the DDN and NVIDIA partnership at DDN is the world's leading AI and data intelligence company, empowering organizations to maximize the value of their data with end-to-end HPC and AI-focused solutions. Its customers range from the largest global enterprises and AI hyperscalers to cutting-edge research centers, all leveraging DDN's proven data intelligence platform for scalable, secure, and high-performance AI deployments that drive 10x returns. Follow DDN: LinkedIn, X, and YouTube.
Business Standard
13-05-2025
- Business
- Business Standard
AiSA-X: Win More Customers--Powered by AI, Driven by AiSA-X
India PR Distribution Theni (Tamil Nadu) [India], May 13: Businesses are constantly seeking smarter, faster, cost effective and more personalized ways to connect with customers, streamline operations, and scale growth. AiSA-X, a powerful, multi-functional AI assistant designed to meet the diverse needs of businesses--from startups to enterprises--across various industries. AiSA-X is more than just a chatbot. It is a transformative AI-powered platform that acts as a digital employee, sales agent, helpdesk assistant, booking manager, and data analyst--all in one, Your AI Agent for Converting Visitors into Loyal Customers, Visit to learn more. What is AiSA-X? AiSA-X is an intelligent AI assistant developed by Vinsights Solutions, purpose-built to cater to customer-facing operations. It leverages cutting-edge Retrieval-Augmented Generation (RAG) technology, LLMs (Large Language Models), and seamless multi-channel integration to deliver accurate, human-like conversations and automation that enhance customer engagement, reduce support workload, and drive operational excellence. Unlike basic chatbots that rely on keyword matching, AiSA-X can understand context, retrieve information from documents, websites, or knowledge bases, and respond intelligently. With its modular design, businesses can customize AiSA-X to function in any scenario, whether that's technical support, lead generation, appointment scheduling, or multilingual communication. Real-World Use Cases for AiSA-X 1. 24/7 AI Helpdesk Support For companies overwhelmed by repetitive customer queries, AiSA-X steps in as an always-on helpdesk assistant. It addresses frequently asked questions, fetches solutions from internal documentation, and even escalates complex tickets to human agents when needed. There is an option to human hand over whenever needed. Whether it's an IT firm needing L1 support coverage or a SaaS company offering onboarding help, AiSA-X handles it with precision and empathy. 2. AI Sales Agent In industries like e-commerce, automobile sales, or real estate, quick responses and intelligent product suggestions drive conversions. AiSA-X acts as a virtual sales assistant that interacts with visitors, understands their needs, and recommends the right products or services. It can even offer price comparisons, financing details, or demo scheduling--dramatically shortening the sales cycle. 3. WhatsApp AI Integration for Businesses Modern customers prefer to communicate over platforms they already use. AiSA-X can be integrated with WhatsApp Business, allowing businesses to handle queries, bookings, and transactions right inside the chat window. Customers can message a business number, and AiSA-X will respond instantly, powered by the same intelligence that drives website conversations. This is especially useful for logistics, retail, and service-based businesses. 4. Voice-Enabled Customer Service With voice-in and voice-out capabilities using state of the art voice models, AiSA-X can speak and listen. This is vital for customer service centers or industries with a significant non-literate user base. Aisa-X becomes a voice assistant that talks to customers in natural speech, answering questions, guiding them through services, or collecting data. 5. Healthcare Appointment Booking and Triage Hospitals, clinics, and telemedicine platforms use AiSA-X to manage appointment bookings, send follow-up reminders, and provide information about doctors and departments. It can also collect preliminary health information from patients and route them to the correct specialist, saving administrative hours. 6. Education & eLearning EdTech platforms can embed AiSA-X for the admission process, answering student doubts, guiding them through course materials, and collecting feedback. It also supports lead capture for admissions, fee inquiries, and faculty availability--automating large parts of the admission cycle. 7. Real Estate & Property Management In real estate, AiSA-X helps capture and qualify buyer or renter leads, schedules property visits, and shares listing information. For property managers, it can collect maintenance requests or tenant feedback--all automatically sorted and tracked. 8. AI for Human Resources HR departments and staffing firms can use AiSA-X to screen candidates, answer policy-related questions, and schedule interviews. It can also act as a digital onboarding assistant for new hires, guiding them through joining formalities. 9. Banking & Financial Services AiSA-X can act as a secure, compliant assistant that handles account queries, guides users through KYC, and explains loan or investment products. With integration to CRMs, it can record leads and help in client servicing workflows. 10. Travel, Ticketing, and Hospitality AiSA-X automates itinerary planning, ticket booking, hotel reservations, and customer support for cancellations or rebooking. For event organizers or ticketing platforms, AiSA-X ensures that user queries are answered instantly while offering relevant suggestions. Why Businesses Choose AiSA-X * Omnichannel Presence: AiSA-X supports deployment on websites, WhatsApp, Facebook Messenger, Instagram, Slack, Telegram, and more--ensuring businesses can reach customers wherever they are. * Custom Knowledge Uploads: Businesses can upload PDFs, documents, FAQs, or even sitemap URLs for AiSA-X to learn from. The assistant will retrieve relevant answers in real time. * Multilingual Support: AiSA-X supports multiple languages, making it ideal for global businesses or companies operating in multilingual regions like India, Europe, or Latin America. * CRM & Workflow Integrations: AiSA-X can connect to Zoho, HubSpot, Salesforce, and other CRMs, creating automated workflows for lead capture, ticket updates, and notifications. * Security & Scalability: With support for user management, session tracking, and industry-standard security practices, AiSA-X is built to scale securely. Built for B2B SaaS Providers If you're a platform builder, AiSA-X is white-label ready. SaaS providers can offer AiSA-X as a plug-and-play integration for their clients. It supports multi-tenancy, usage-based billing, and admin dashboards--ideal for agencies or developers offering AI-powered services. From embedded signup flows to API integrations and chatbot training dashboards, AiSA-X has thought of everything. Businesses can get up and running in minutes and offer AI capabilities to their clients with minimal effort. Proven Impact * 50% Faster Lead Conversions reported by businesses using AiSA-X in sales workflows. * 30% Reduction in Support Tickets due to intelligent auto-responses. * 2x Increase in User Engagement when deployed on WhatsApp and Instagram. * Up to 60% Cost Savings in customer support departments. Ready to transform your customer experience with AI? Visit and see AiSA-X in action. A Glimpse Into the Future AiSA-X continues to evolve. Voice call automation, AI-driven analytics dashboards, and proactive outbound messaging are on the roadmap. With integrations into Zapier, Pabbly, and CRMs already in place, the vision is clear: to become the go-to AI operating system for customer engagement. In a world where responsiveness and personalization define success, AiSA-X offers a competitive edge to businesses ready to embrace intelligent automation. About Vinsights Vinsights Solutions is a forward-thinking technology company focused on building real-world AI products that solve customer engagement, operations, and automation challenges. With AiSA-X, Vinsights is redefining how businesses interact with customers--intelligently, seamlessly, and at scale.
Business Upturn
09-05-2025
- Business
- Business Upturn
Best Generative AI Course For Software Developers 2025 – Agentic AI Projects For Engineers Updated Interview Kickstart Gen AI Course
Santa Clara, May 09, 2025 (GLOBE NEWSWIRE) — Santa Clara, California – In a significant development for the software industry, autonomous AI agents are increasingly being deployed for code generation, fundamentally transforming how applications are built. These agentic AI systems can now conceptualize software architecture, write functional code, debug issues, and even optimize performance with minimal human intervention. As this technology rapidly advances, the demand for tech professionals who understand and can effectively work with these powerful tools is skyrocketing. For more information visit: Recent advancements in AI agents specifically designed for code generation have demonstrated remarkable capabilities. Unlike earlier code assistants that simply completed lines or suggested functions, these new autonomous agents can interpret complex requirements and translate them into working software, make architectural decisions based on best practices and project constraints, generate entire applications while maintaining internal consistency, self-test and debug their own outputs, and optimize code for performance, security, and maintainability. These capabilities represent a paradigm shift in software development. AI agents are increasingly handling routine coding tasks while human developers focus on higher-level problem-solving, innovation, and oversight. As organizations rush to incorporate these powerful tools into their development workflows, the skills gap for professionals who understand generative AI has become increasingly apparent. Interview Kickstart's Applied GenAI course has emerged as a leading solution for tech professionals seeking to bridge this gap and capitalize on the growing opportunities in this field. 'The rapid adoption of AI agents for code generation has created an unprecedented demand for engineers who understand how to prompt, direct, and collaborate with these systems effectively,' explains a spokesperson from Interview Kickstart. 'Our Applied GenAI course addresses this need head-on, with specialized pathways for different technical roles.' The Applied GenAI program distinguishes itself through its comprehensive curriculum that covers the full spectrum of generative AI technologies powering autonomous code generation. The course covers deploying and fine-tuning large language models (LLMs), understanding neural network architectures, implementing AI engineering best practices, leveraging LangChain for complex application development, working with Agentic AI systems for autonomous tasks, implementing Retrieval-Augmented Generation (RAG) for knowledge-intensive applications, and mastering various generative AI frameworks. The course is structured with role-specific pathways, recognizing that different technical professionals interact with AI coding agents in distinct ways. Software engineers follow the 'AI for Software Engineers' track, which emphasizes the practical integration of AI coding tools into development workflows. Technical product managers pursue the 'AI for Product Managers' pathway, which focuses on strategic implementation and product planning with AI-powered development. The program offers an advanced generative AI path for those already working in data science that delves deeper into the underlying technologies. What sets the Interview Kickstart program apart is its emphasis on practical application. With over 60 hours of live learning sessions, students gain direct instruction from industry experts actively working with autonomous coding systems. The curriculum includes more than 20 hours of project-based learning, where participants work with actual AI coding agents to develop real applications. The 10+ assignments throughout the course challenge participants to apply their knowledge to realistic scenarios, ensuring they develop the skills needed to collaborate effectively with AI coding agents. This hands-on approach ensures graduates can immediately apply their knowledge in professional settings. As autonomous code generation becomes increasingly sophisticated, the relationship between human developers and AI agents continues to evolve. Interview Kickstart's program prepares professionals not just for current technologies but for the rapidly approaching future where AI agents will handle increasingly complex aspects of software development. The Applied GenAI course equips participants with both the theoretical understanding and practical skills needed to thrive in this transformative landscape, positioning them at the forefront of the AI-powered development revolution. For tech professionals looking to upgrade their skills and remain competitive in a world increasingly shaped by autonomous coding agents, programs like Interview Kickstart's Applied GenAI course represent a strategic investment in future-proofing their careers. For more information visit: About Interview Kickstart Interview Kickstart, founded in 2014, is a trusted upskilling platform designed to help tech professionals secure roles at FAANG and other leading tech companies. With over 20,000 success stories, it has become a go-to resource for career advancement in the tech industry. The platform offers a flexible learning experience with live classes and over 100,000 hours of on-demand video lessons. This ensures learners have the tools they need to dive deep into technical concepts and refine their skills on their own schedule. Additionally, 1:1 coaching sessions provide personalized support in areas like resume building and LinkedIn optimization, enhancing each learner's professional profile. ### For more information about Interview Kickstart, contact the company here: Interview KickstartBurhanuddin Pithawala+1 (209) 899-1463 [email protected] 4701 Patrick Henry Dr Bldg 25, Santa Clara, CA 95054, United States
Yahoo
06-05-2025
- Business
- Yahoo
NetApp and Intel Partner to Redefine AI for Enterprises
Groundbreaking solution simplifies AI inferencing for specialized and local applications SAN JOSE, Calif., May 06, 2025--(BUSINESS WIRE)--NetApp® (NASDAQ: NTAP), the intelligent data infrastructure company, today announced the release of NetApp AIPod Mini with Intel, a joint solution designed to streamline enterprise adoption of AI inferencing. This collaboration addresses the unique challenges businesses face when deploying AI, such as cost and complexity, at the department and team level. To thrive in the era of intelligence, enterprises have adopted AI to enhance efficiency and data-driven decision making across their businesses. A study by Harvard Business School found that consultants given access to AI tools were able to increase their productivity, completing 12.2 percent more tasks and completing them 25.1 percent more quickly. However, individual business units may find that the broadly available general purpose AI applications are not able to meet their specific needs, but do not have the technical expertise or budget to customize an AI application from scratch. NetApp and Intel have partnered to provide businesses with an integrated AI inferencing solution built on an intelligent data infrastructure framework that allows specific business functions to leverage their distinct data to create outcomes that support their needs. NetApp AIPod Mini streamlines the deployment and use of AI for specific applications such as automating aspects of document drafting and research for legal teams, implementing personalized shopping experiences and dynamic pricing for retail teams, and optimizing predictive maintenance and supply chains for manufacturing units. "Our mission is to unlock AI for every team at every level without the traditional barriers of complexity or cost," said Dallas Olson, Chief Commercial Officer at NetApp. "NetApp AIPod Mini with Intel gives our customers a solution that not only transforms how teams can use AI but also makes it easy to customize, deploy, and maintain. We are turning proprietary enterprise data into powerful business outcomes." NetApp AIPod Mini enables businesses to interact directly with their business data through pre-packaged Retrieval-Augmented Generation (RAG) workflows, combining generative AI with proprietary information to deliver precise, context-aware insights that streamline operations and drive impactful outcomes. By integrating Intel® Xeon® 6 processors and Intel® Advanced Matrix Extensions (Intel® AMX) with NetApp's all-flash storage, advanced data management, and deep Kubernetes integration, NetApp AIPod Mini delivers high-performance, cost-efficient AI inferencing at scale. Built on an open framework powered by Open Platform for Enterprise AI (OPEA), the solution ensures modular, flexible deployments tailored to business needs. Intel Xeon processors are designed to boost computing performance and efficiency, making AI tasks more attainable and cost-effective, empowering customers to achieve more. To best serve customers, this solution is designed to be:
