Latest news with #Language
India Today
an hour ago
- Business
- India Today
Indian Bank invites applications for 1,500 apprentice posts, apply by August 7
The Indian Bank has invited online applications for 1,500 apprentice posts to be filled across various states in last date to apply, make changes to the application form, and pay the applicable fee is August 7, 2025. Candidates will also need to register directly with their respective banks after completing the initial application and eligible candidates can apply for the vacancies through the official website, or directly on the recruitment portal IS ELIGIBLE TO APPLY Applicants must be citizens of India, Nepal, Bhutan, or Tibetan refugees settled in India. They should be aged between 20 and 28 years as of July 1, maximum age limit applies only to candidates from the General and Economically Weaker Section (EWS) relaxation is applicable as follows:SC/ST: 5 yearsOBC: 3 yearsPwBD: 10 yearsCandidates must hold a graduate degree in any discipline from a recognised university or equivalent qualification approved by the Central should have received their degree or passing certificate on or after April 1, PROCESS AND FEE STRUCTURETo apply, candidates need to:Visit and fill out the application formUpload the required documents -- photograph, left thumb impression, signature, and a handwritten declaration scanPay the application feeApplication Fees:SC/ST/PwBD: Rs 175 + GSTAll other categories: Rs 800 + GSTSELECTION PROCESSThe recruitment process will take place in two phases:1. Online Test (MCQ Format)The test will have 100 questions from the following five subjects:Reasoning Aptitude (15 questions)Computer Language (10 questions)English Language (25 questions)Quantitative Aptitude (25 questions)General Awareness with special reference to the banking industry (25 questions)2. Local Language Proficiency Test (LLPT)Candidates must demonstrate proficiency in the local language of the state they apply to. This test will evaluate reading, writing, speaking, and understanding of the link to apply for Indian Bank apprentice recruitment 2025Only candidates who qualify in both rounds will be considered for final selection as Apprentices at Indian Bank.- Ends
Malaysian Reserve
2 days ago
- Business
- Malaysian Reserve
PR Newswire Empowers Brands for AI Search and Strategic Communications with Multichannel Content Amplification
Key features for optimizing content in an AI-driven search environment NEW YORK, July 18, 2025 /PRNewswire/ — As Large Language Models (LLMs) rapidly transform the search landscape, PR Newswire is empowering communicators to excel through its advanced Multichannel Amplification™ services. PR Newswire helps organizations publish once and reach everywhere, enhancing topical authority and shaping favorable AI-generated summaries. Key Features of PR Newswire's Multichannel Amplification services: Topical Authority: Build and reinforce your brand's presence in authoritative search results by leveraging PR Newswire's industry-leading distribution network, designed to surface expert-driven content across major search engines and media outlets. This is crucial for establishing your brand as a trusted source in an LLM-driven search environment. AI-Friendly Optimization: Structure and distribute press releases that are easily understood and surfaced by AI models, including LLMs. This boosts your brand's visibility and positioning in AI-generated answers and summaries, ensuring your message is accurately interpreted and presented in the evolving search ecosystem. One Message, Multiple Missions: Whether it's media relations, investor updates, brand awareness, or thought leadership, PR Newswire enables you to fulfill multiple communications objectives through a single, strategically crafted piece of content, optimized for how LLMs process information. 'PR Newswire's platform is built for today's evolving media landscape, deeply impacted by the rise of LLMs,' said Jeff Hicks, Chief Product and Technology Officer at PR Newswire. 'We're not just distributing press releases – we're giving brands the tools to influence conversations, rank as topical authorities, and be found in the ways people are searching today, which increasingly means through LLM-powered interfaces.' Helpful resources Ready to enhance your brand's visibility in the age of AI? Learn more about PR Newswire's Multichannel Amplification services: Watch PR Newswire's recent on-demand webinar, 'From Keywords to Conversations: How AI Search is Reshaping PR,' to explore how smart distribution can maximize visibility in the age of AI and LLMs: About PR Newswire PR Newswire is the industry's leading press release distribution partner with an unparalleled global reach of more than 440,000 newsrooms, websites, direct feeds, journalists and influencers and is available in more than 170 countries and 40 languages. From our award-winning Content Services offerings, integrated media newsroom and microsite products, Investor Relations suite of services, paid placement and social sharing tools, PR Newswire has a comprehensive catalog of solutions to solve the modern-day challenges PR and communications teams face. For 70 years, PR Newswire has been the preferred destination for brands to share their most important news stories across the world. For questions, contact the team at
Time of India
2 days ago
- Science
- Time of India
The coming of agentic AI: The next era of human-machine synergy
Artificial Intelligence (AI) has travelled from the confines of research labs to every aspect of our daily lives. Over the past several decades, we have witnessed an extraordinary transformation; from rule-based systems to neural networks, from statistical AI to large language models (LLMs), and now, to the threshold of Agentic AI. The trending buzzword now, which is a paradigm where machines can reason, plan, adapt, and act with increasing autonomy and human-like capability. This evolution has not only showcased the power of technological progress but has also continuously enriched human life in meaningful ways. The evolution of AI The story of AI began in the 1950s with the advent of symbolic AI; systems designed to reason using logic and handcrafted rules. While foundational, these early systems were rigid, unable to adapt to real-world complexity. The 1980s brought expert systems, which encoded domain knowledge explicitly. Though revolutionary for tasks like medical diagnosis and financial modelling, their maintenance proved unsustainable at scale. The real shift came in the late 1990s and 2000s with the re-entry of machine learning. Instead of handcrafting intelligence, we began teaching machines to learn patterns from data. Algorithms like decision trees, support vector machines, and eventually deep learning architectures unlocked the ability to process images, speech, and text at scale. In 2012, a convolutional neural network achieved ground breaking accuracy in image classification marking the arrival of deep learning as a dominant force. We saw a seismic shift in AI capabilities with the advent of transformer architectures, introduced in the seminal 2017 paper 'Attention Is All You Need.' This innovation enabled models to understand large language context, paving the way for Large Language Models (LLMs) capable of generating fluent, context-aware responses and performing tasks from summarization to reasoning. Landmark models like BERT revolutionized understanding through bidirectional context, while generative models like the GPT series demonstrated unprecedented abilities in content creation, dialogue, and code generation. This progress was driven by advanced algorithms, massive datasets, and exponentially growing computational power, catalysing the shift from narrow, task-specific AI to general-purpose systems with emergent intelligence, paving the way for Agentic AI. The rise of agentic AI Today, we stand at the edge of another monumental shift: the emergence of Agentic AI. Agentic AI systems exhibit autonomy, goal-oriented behaviour, memory, reasoning, and the ability to interact and modify plans as per real-world environment. This is built on the foundation of powerful Large Language Models (LLMs), enhanced with capabilities for self-reflection, memory, and planning. These systems not only understand and generate language but can also evaluate their own actions and adapt their behaviour, enabling continuous improvement and proactive task execution. Agentic AI's core capabilities: 1. Perception and Awareness : Understands real-world inputs across text, vision, and audio. 2. Reasoning and Planning: Makes strategic decisions, breaks down goals, and adapts through learning. 3. Autonomous Execution: Carries out tasks across systems, learns from feedback, and improves over time. Together, this LLM-driven intelligence and reflective agent architectures blur the line between tool and teammate. These systems can proactively initiate tasks, collaborate, and continuously evolve mirroring the human-like cognitive flexibility and purpose-driven actions. Impact on human life Each wave of AI advancement has expanded our collective capability. Symbolic AI gave us expert systems in finance and medicine. Machine learning unlocked personalization powering recommendation engines, fraud detection, and predictive analytics. Deep learning brought breakthroughs in vision and speech - enabling virtual assistants, real-time translation, autonomous vehicles, and medical imaging. Agentic AI takes this further by transforming how we interact with machines. Imagine an AI assistant that doesn't just draft your emails, but understands your calendar, reads context from past meetings, and autonomously books travel, schedules follow-ups, and flags opportunities, continuously learning from your preferences. In enterprise, Agentic AI will streamline complex workflows. In healthcare, it can serve as a tireless collaborator, synthesizing patient data, flagging anomalies and coordinating care across departments. In education, it will act as an always-available tutor, adjusting teaching strategies in real-time to individual student needs. In scientific research, Agentic systems can formulate hypotheses, run simulations, and interpret results at a speed and scale previously unimaginable. The road ahead: Promise and responsibility As we venture deeper into the era of Agentic AI, the possibilities are infinite. We foresee: Cognitive Companions: Agents capable of dialogue, empathy modelling, and proactive Digital Workers: Agents execute complex business processes with minimal Interfaces: AI that adapts to user preferences and behaviours, providing intuitive and context-aware Human Intelligence: Seamless collaboration between human creativity and machine precision to solve grand Collaboration: Closely working with other AI agents to solve complex problems through specialized expertise. It is important to remember that agentic systems must be designed with rigorous safeguards; embedding transparency, fairness, interpretability, and alignment with human values. Robust testing, continuous red-teaming, and human-in-the-loop oversight will be vital to ensure trust and accountability. Conclusion The evolution of Agentic AI mirrors our growing understanding of both computation and cognition. More than building smarter machines, we are shaping a new interface between human intention and digital action. Agentic AI holds the promise of being our most powerful collaborator yet, the one that understands, learns, and acts on our behalf. As we look ahead, let us embrace this transformative moment with optimism and responsibility. The future of Agentic AI is not just technological, it is deeply human.
Yahoo
2 days ago
- Business
- Yahoo
Antom enhances AI agent to streamline merchant payment services
Antom, the merchant payment and digitisation arm of Ant International, has upgraded its AI agent, Antom Copilot, to augment merchant payment services and dispute management. The enhanced capabilities of Antom Copilot 2.0 include refined payment integration, streamlined onboarding processes, advanced risk management configurations, and a new approach to chargeback disputes, the company said. Antom Copilot, which was initially launched in June 2024, is based on the Alipay+ GenAI Cockpit, an AI-as-a-Service platform developed by Ant International. The platform allows financial technology companies to create AI-driven financial services. The updated version, Antom Copilot 2.0, includes a Chargeback AI Assistant that provides merchants with automated strategies for dispute resolution and revenue recovery. The tool is designed to enhance merchants' ability to control revenue and improve customer service by automating the analysis and response to chargebacks. Additionally, Antom Copilot now features an automated recommendation system for payment methods and acquiring services, supporting the deployment of localised payment methods. The onboarding process has been streamlined using multimodal Large Language Models (LLMs) to extract data from merchant registration documents, integrating natural language prompts. It also incorporated chain of thought reasoning, standard operating procedure automation, and AI-driven code generation, alongside user interfaces in both language and graphical forms, the company noted. Antom general manager Gary Liu said: 'With this latest upgrade, Antom Copilot continues to evolve into a payment partner to provide merchants with tailored solutions. 'This reflects Ant International's AI strategy to deliver trusted, industry-specific solutions that help businesses, especially SMEs, fully harness the benefits of technology to thrive.' In April, Antom collaborated with Adobe to improve payment experiences for customers in Asia. "Antom enhances AI agent to streamline merchant payment services " was originally created and published by Electronic Payments International, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Sign in to access your portfolio
Time of India
2 days ago
- Business
- Time of India
IBM opens agentic AI innovation center in India
IBM opened its newest Agentic AI Innovation Center at its Bengaluru office. The Center fosters co-creation and offers clients hands-on experience working with autonomous AI agents. At the Center, clients and partners can build AI agents, fine-tune Small Language Models (SLMs) to power them, and audit the entire process—all within a matter of hours. Clients, partners and startups can explore AI agents on IBM's platform and solutions. At the heart of the Center and IBM's agentic AI strategy, is IBM watsonx Orchestrate, a single solution that helps companies build, deploy, and manage all of their AI agents and their assistants – and enable them to work across their existing technology stack. The Center will help clients, partners, and startups fast-track adoption of AI, foster co-innovation, and empower developers through hands-on learning and collaboration with IBM AI experts. Developer hangouts and AI Accelerator Days will be organized for an ongoing engagement with community to foster learning in the latest advancements in AI technology and deep engagement that leads to building tangible outcomes. Inaugurating the facility, Dinesh Nirmal, Senior Vice President, IBM Software said, 'We are entering a new era of AI—one defined by intelligent agents that don't just assist but act, adapt, and collaborate in real time. The IBM Agentic AI center brings this vision to life by urging local enterprises to evolve their AI strategy from reactive to proactive. It will empower clients and partners, to identify processes and workflows where AI will significantly boost productivity, elevate customer satisfaction, minimize downtime and enable users to focus on strategic tasks.' A recent survey by IBM, in collaboration with Oxford Economics, reveals that AI is now a key driver of financial performance. The study found that Indian business leaders are leading the charge globally in adopting AI across core business functions. Notably, 78% of Indian executives believe the greatest value of agentic AI lies in enhancing decision-making. Additionally, 78% of the Indian leaders are actively encouraging employees to experiment with agentic AI tools—underscoring a strong culture of innovation and forward-looking leadership. Sandip Patel, Managing Director, IBM India and South Asia added, "AI is no longer just the future—it is reshaping India today. To unlock its full potential and realize the vision of Viksit Bharat, Indian enterprises must deepen their understanding and focus on high-impact use cases. The rise of Agentic AI is accelerating innovation to meet evolving business needs. With its new Agentic AI Innovation Center, IBM will drive industry-wide collaboration, nurture homegrown innovation, and ensure scalable, real-world impact within a strong governance framework."
