Latest news with #NaturalLanguageProcessing
Yahoo
3 days ago
- Business
- Yahoo
TutorABC Launches ChatAI 1.0 Powered by TutorABC: Redefining Speaking Practice with AI Innovation
TAIPEI, July 4, 2025 /PRNewswire/ -- TutorABC, a global leader in online English and Chinese education, announces the launch of ChatAI 1.0 Powered by TutorABC. This next-generation AI voice speaking app is designed to help learners build fluency and confidence through real-time, intelligent speaking practice — while reinforcing the central role of live, professional teaching. Built as part of TutorABC's integrated learning ecosystem, ChatAI supports students between live lessons, helping them speak more, review faster, and get more value from their time with their live teachers. Samuel Yang, Co-Chairman and CEO of TutorABC: "This is a major leap forward. With real-time, natural voice conversations and instant feedback, ChatAI 1.0 uses cutting-edge AI to give every learner a smart speaking partner in their pocket. It's fast, flexible, and incredibly effective — and when combined with live teaching, it sets a new standard for how language learning can be delivered." Start 7-day free trial to experience ChatAI: ChatAI 1.0 – What It Can Do Practice Real Conversations – Talk with natural-sounding AI and adjust voice or speed Understand with Bilingual Support – Get translations and hints when you're stuck Improve How You Speak – Get pronunciation scores and sentence suggestions instantly Learn Useful Topics – Choose from 1,000+ real-world themes like business or travel All features are designed to enhance live classes with professional teachers — helping students arrive more prepared, and leave with deeper confidence. Start 7-day free trial to experience ChatAI: AI + Human = Better Together ChatAI 1.0 complements TutorABC's live instruction — including 1-on-1, 1-on-4, and group Masterclasses. Rodney Miles, Co-Chairman of TutorABC: "AI brings consistency, speed, and data-driven feedback. Our teachers bring human connection, cultural insight, and encouragement. Together, they create a learning experience that's both powerful and personal — helping students stay motivated, build real-world skills, and enjoy faster progress." TutorABC's approach ensures AI supports what matters most: meaningful time spent with real teachers. Start 7-day free trial to experience ChatAI: Ongoing Innovation TutorABC's R&D teams are continually enhancing both ChatAI and our live teaching systems using the latest advances in: Natural Language Processing (NLP) Speech recognition and synthesis (TTS/ASR) Conversational AI, pronunciation modeling, and adaptive learning engines These upgrades are built using research and frameworks from MIT, the Stanford NLP Group, and Cambridge's ALTA Institute. By improving both AI tools and the classroom experience, we're making the entire learning journey — from self-practice to live instruction with teachers — smarter, more connected, and more effective. Start 7-day free trial to experience ChatAI: Try It Free Today ChatAI 1.0 Powered by TutorABC is fully integrated into the TutorABC App. New students can access a free trial for a limited time. It's the perfect companion to live classes — offering flexible speaking practice and better results in every session with a real teacher. Start 7-day free trial to experience ChatAI: About TutorABC TutorABC is a global leader in online education, trusted by learners for over 20 years. At the core of our platform is live human teaching — delivered through 1-on-1, 1-on-4, and group Masterclasses led by certified professionals. This foundation is supported by: Smart Tools – Flashcards, podcasts, and articles AI Support – ChatAI, podcast suggestions, and roleplays Immersive Classrooms – Interactive tools and replays Dynamic Reports – Track progress and get improvement tips We also offer study abroad consulting (with 500+ university partners in the UK, US, Canada, and Australia) and corporate training used by professionals from Apple, Microsoft, TSMC, Micron, Toyota, Yamaha, Shiseido, Citibank, PCA Life Insurance, and more. TutorABC's content partners include Oxford and Cambridge University Press, ETS, Barron's, National Geographic, and global sources like CNN, BBC, The Economist, Reuters, Forbes, NBA, and MLB. View original content to download multimedia: SOURCE TutorABC 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


Time of India
4 days ago
- Business
- Time of India
How ITC is fine-tuning its consumer research practices using AI
HighlightsArtificial Intelligence is revolutionising market research at ITC by streamlining consumer behavior analysis, strategy evaluation, and performance measurement, addressing the inefficiencies of traditional methods. ITC has developed a secure internal platform to harness AI capabilities such as Natural Language Processing and Machine Learning, enabling researchers to create impactful client-facing products while maintaining a controlled experimentation environment. Key applications of AI at ITC include in-house category exploration using public domain data, sentiment analysis of customer care data, and trend tracking through social media conversations, showcasing AI's transformative potential in enhancing decision-making processes. AI is revolutionising market research at ITC , transforming how the company explores consumer behavior, evaluates strategies and measures performance. This shift addresses long-standing challenges in market research, such as the time-consuming, labor-intensive and often repetitive nature of traditional methods. The Evolution of AI in Market Research Historically, market research at ITC involved distinct phases: Exploration : Understanding issues like sales declines or brand underperformance in specific regions, or delving into target groups (homemakers, youth, etc.) and identifying trends. Evaluation : Testing new business concepts, products, packaging and marketing mixes to gauge consumer response and optimise designs. Performance Measurement: Tracking in-market performance through brand health metrics, spend analysis and retail measurements. Each phase traditionally required defining objectives, designing research, preparing instruments, analysing data and generating reports—a process that was complex, human- and time-intensive and often tedious. AI as a Game-Changer At 'The Future is AI' webinar hosted by MRSI, Vara Prasad - vice president consumer insights and analytics, ITC, highlights how AI is streamlining these processes by: Enhancing Efficiency: AI can analyse qualitative transcripts and quantitative data simultaneously. This enables a more natural, conversational flow in data collection, making analysis significantly less laborious. Accelerating Data Processing: AI and Machine Learning (ML) can quickly process vast amounts of information, a task that was previously time-prohibitive. Understanding AI's Journey AI's evolution can be traced back to the 1950s with the Turing Test. Key milestones include: 1980s: Models harnessed large datasets to identify patterns and make predictions. 2010s: Machine learning models began to mimic human brain functions, notably with unsupervised learning. 2020s: Generative AI emerged, capable of creating original, authentic content based on historical data, training, and domain knowledge. This rapid evolution is largely driven by exponential increases in computational power, which has doubled every six months since 2010. Current and Future Capabilities of AI AI is evolving from narrow AI (like customer service bots) to general strong AI (reasoning bots that handle complex data and personalise interactions) and eventually to super-intelligent AI (driving innovation and hyper-personalisation). Within five years, ITC anticipates moving into the super-intelligence phase. AI's current capabilities, directly applicable to market research, include: Facial determination Speech and text analytics Natural Language Processing (NLP) Image and video analysis Deep learning Conversational solutions These capabilities are integrated into various toolkits, allowing researchers to analyse diverse data types and address specific business problems. ITC's Approach to AI in Market Research Recognising the potential for researchers to feel overwhelmed by the sheer number of AI tools, ITC has developed its own secure internal platform. This platform allows product developers and solution teams to create impactful client-facing products while ensuring a controlled environment for experimentation. ITC's strategy involves: Computational AI: Leveraging NLP and ML for agile and predictive solutions, especially for regularly used market research applications. Generative AI: Fine-tuning general-purpose generative AI models with specific, fresh consumer data and ITC's decades of domain expertise. This is akin to training a highly intelligent new team member with specific market research knowledge. Synthetic Data: Utilising machine learning for data fusion and augmentation, including Generative Adversarial Networks (GANs) to create synthetic datasets that closely resemble real data, enhancing insights where real data might be incomplete or sensitive. Key Use Cases at ITC ITC has successfully integrated AI into several core market research functions: In-House Category Exploration: Instead of traditional immersions, ITC now uses public domain data (Google searches, social media conversations, videos, images) to understand consumer behavior. By analyzing timing, content, and emotional nuances, they precisely identify "what," "when," "why," and "who" regarding consumption patterns. This provides a clear, precise starting point for deeper research. Customer Care Data Analysis: Previously untapped audio files from 300-500 daily customer calls are now converted into text using AI analytics engines. This allows for sentiment analysis, identifying positive and negative feedback, brand mentions, consumer pain points, and product feedback—unlocking a wealth of previously inaccessible information. Trend Tracking: ITC uses AI to pull publicly available social conversations related to specific topics within defined timeframes (e.g., protein, gut health). This enables continuous tracking of trends, classifying them as emerging, mainstream, or waning, and informing business decisions. Influencing New Product Development (NPD): AI tools help streamline the NPD process. By analysing trends and market prevalence, ITC can use AI to generate concepts and packaging designs. This helps determine whether a trend is relevant, hot, and actionable for product development, integrating AI directly into the annual and quarterly NPD charters. Sales Performance Analysis and Anomaly Detection: AI is crucial for analysing vast sales data across multiple platforms. It can detect anomalies (e.g., sales drops for a specific brand or SKU in a particular market), analyse historical data to understand root causes and predict future outcomes. This capability is transforming sales reporting from dashboarding to predictive and prescriptive insights. The Future is AI-Powered ITC's experience demonstrates that AI is not just a tool but a transformative force in market research. It dramatically alters how data is explored, how marketing problems are evaluated and how performance is measured, leading to more dynamic, efficient, and insightful decision-making.

Finextra
4 days ago
- Business
- Finextra
LSEG unvails analytics feed to decode corporate transcripts
LSEG Data & Analytics today launched LSEG MarketPsych Transcript Analytics, a cutting-edge Data and Feeds solution designed to transform corporate transcripts into structured, actionable intelligence. 0 Eric Fischkin, Director, LSEG Data & Analytics, said: 'LSEG MarketPsych Transcript Analytics gives clients a fast, systematic way to integrate the voices of corporate leaders, institutional investors, and research analysts into their strategies. By applying the latest advances in Natural Language Processing and MarketPsych's decades of experience transforming financial text into systematic inputs, the solution empowers users across investment management, ESG analysis, and risk management to uncover hidden signals and behavioral patterns at scale.' Built for an era where investor decisions are increasingly shaped by nuanced communication, the solution scores emotions, sentiment, topic relevance across corporate earnings calls, guidance updates, and other key events. Covering over 16,000 global public companies, it offers real-time insights by identifying more than 20 entity types, including companies, currencies, and commodities. The solution maps over 1,000 business topics and 4,000 discrete events.


Time Business News
5 days ago
- Business
- Time Business News
AI Insights DualMedia – Complete Guide to Content and Marketing
In a world driven by data, creativity, and automation, businesses are continuously searching for innovative solutions to gain a competitive edge. AI Insights DualMedia has emerged as a groundbreaking platform that blends artificial intelligence with multimedia content and data analytics. Designed for marketers, creators, and enterprises, this technology suite offers insights-driven content optimization, automated media production, and real-time performance analytics. This blog will dive deep into AI Insights DualMedia, exploring its features, benefits, technical foundations, use cases, pros and cons, and what the future holds. Whether you're a digital marketer, content creator, or business strategist, this comprehensive guide is designed to keep you ahead in the AI content revolution. What Is AI Insights DualMedia? Core Features of AI Insights DualMedia How AI Powers DualMedia Benefits for Businesses and Marketers Real-World Use Cases AI vs Traditional Marketing Approaches Challenges and Limitations Integration with Other Tools Pricing and Accessibility Future Trends in AI-Powered Media FAQs About AI Insights DualMedia Final Thoughts AI Insights DualMedia is a hybrid platform that combines: AI-driven analytics for deep insights into consumer behavior and campaign performance. for deep insights into consumer behavior and campaign performance. Multimedia content generation tools , including text, images, and video, powered by AI. , including text, images, and video, powered by AI. Real-time optimization engines that suggest or auto-adjust campaigns based on data inputs. It's called 'DualMedia' because of its dual functionality: one part focuses on insights (data), and the other on media (content). Together, they form a unified intelligence system for marketers and content teams. Here are some core features that define the strength of this platform: Feature Description AI-Powered Content Generator Produces engaging written, visual, and video content using generative AI. Real-Time Analytics Dashboard Provides deep, live insights into content performance, audience demographics, and user interactions. Predictive Behavior Modeling Forecasts trends and customer reactions using machine learning models. Multichannel Deployment Enables seamless publishing across web, social media, email, and mobile platforms. Content Scoring Engine Rates content on metrics such as SEO, readability, sentiment, and relevance. A/B Testing Assistant Automatically runs A/B tests and recommends the winning variations. Personalization Engine Customizes content based on user segments and behaviors. Collaboration Suite Integrates workflows for marketing teams with project tracking and feedback loops. The AI backbone of DualMedia is built on a combination of: Natural Language Processing (NLP): Understands and generates human-like language. Understands and generates human-like language. Computer Vision: Used in image and video content recognition, enhancement, and creation. Used in image and video content recognition, enhancement, and creation. Predictive Analytics: Analyzes historical data to make accurate predictions about user behavior and trends. Analyzes historical data to make accurate predictions about user behavior and trends. Neural Networks: Power deep learning algorithms for enhanced decision-making and content recommendation. Power deep learning algorithms for enhanced decision-making and content recommendation. Sentiment Analysis: Determines user emotions and adjusts messaging accordingly. AI Insights DualMedia is a game changer for several industries. Here's how: AI automates content creation and distribution, freeing time for strategic thinking and creative input. Real-time analytics mean marketers can pivot quickly, based on live campaign data. Content tailored using AI insights tends to perform better and keeps users engaged longer. Predictive models help optimize ad spending and content placement, ensuring better conversions. Team collaboration tools and automation reduce friction in creative and marketing cycles. Industry Use Case Retail Automated educational content and compliance-friendly media updates. Healthcare AI-created lesson videos and student behavior analytics. Finance Personalized financial reports and content based on customer segments. Education Virtual tours with AI commentary and targeted marketing to buyers. Real Estate Virtual tours with AI commentary, targeted marketing to buyers. Feature Traditional Marketing AI Insights DualMedia Content Creation Manual Automated (AI-generated) Campaign Insights Post-campaign Real-time User Targeting Demographic-based Behavior + predictive targeting A/B Testing Manual setup & analysis Automated Scalability Limited High-scale with automation Personalization Generic Hyper-personalized While powerful, AI Insights DualMedia is not without its challenges: Data Privacy Concerns: AI systems rely on large volumes of user data. Initial Learning Curve: Teams must adapt to a new tech stack and processes. Creative Limitations: AI-generated content may lack emotional or cultural nuance. Bias in AI Models: Improperly trained models may generate biased content. AI Insights DualMedia integrates seamlessly with: Google Analytics CRM platforms (like HubSpot, Salesforce) (like HubSpot, Salesforce) Social Media APIs (Meta, X/Twitter, Instagram) (Meta, X/Twitter, Instagram) Content Management Systems (WordPress, Shopify, Wix) (WordPress, Shopify, Wix) Marketing Automation Tools (Mailchimp, ActiveCampaign) Pricing models vary based on feature access and scale: Plan Monthly Cost Key Features Starter $49 Basic content generation and analytics Pro $199 Full access to multimedia creation and predictive insights Enterprise Custom Dedicated support, full API access, team collaboration Non-profit and educational discounts are often available. Voice-First Media Generation: With the rising use of smart assistants. AI-Generated Virtual Influencers: Entire campaigns powered by virtual humans. Emotion-Aware Content Delivery: Media adapts to user mood. Multilingual Real-Time Content Creation: Global campaigns with native precision. Zero-Click Content Insights: Data collected and optimized without user action. Q1: Who should use AI Insights DualMedia? A: Marketers, digital strategists, content creators, brands, and agencies. Q2: Can it fully replace human content creators? A: No. It complements human creativity by handling repetitive and data-driven tasks. Q3: Is it secure and GDPR-compliant? A: Yes, but compliance depends on data handling by the end user too. Q4: What platforms does it support for publishing? A: All major platforms including WordPress, YouTube, LinkedIn, Facebook, and custom CMS. Q5: Can it analyze existing content and suggest improvements? A: Absolutely, that's one of its strongest features. AI Insights DualMedia is more than just another AI tool — it's an integrated solution that merges data intelligence with creative media generation. By transforming how businesses create, analyze, and deliver content, it reduces manual workload and boosts content effectiveness. From real-time analytics and content scoring to automated multimedia creation, this platform delivers an end-to-end AI-powered marketing solution. As AI becomes more sophisticated, platforms like DualMedia will lead the way in building the future of intelligent marketing and content strategy. If you're looking to future-proof your business's digital communication and storytelling, embracing AI Insights DualMedia may be the smartest move you make. Aspect Details Platform Name AI Insights DualMedia Core Focus AI-Powered Content & Marketing Intelligence Key Technologies NLP, Predictive Analytics, Computer Vision Primary Users Marketers, Agencies, Content Creators, Enterprises Pricing Starts at $49/month Use Cases Retail, Healthcare, Finance, Education, Real Estate Integration Support CMS, CRM, Analytics, Social Media Data Compliance GDPR-compliant options available Read More: Techie Traffic TIME BUSINESS NEWS


The Hindu
6 days ago
- Business
- The Hindu
AI in Legal Education: The Hindu's webinar with experts from NUJS, KS Legal and Law Firm Ready
Case backlogs have been a persistent issue for the Indian judiciary. To resolve it, AI-powered technologies—including Machine Learning (ML), Natural Language Processing (NLP), Optical Character Recognition (OCR), and Predictive Analytics are now being leveraged to automate administrative tasks, improve case tracking, and enhance crime prevention. The Government of India has allocated a total of ₹7210 Crore for the e-Courts Phase III project for judicial digital transformation. Within this budget, ₹53.57 Crore is specifically earmarked for the integration of AI and Blockchain technologies across High Courts in India. This deployment of AI is not limited to the judiciary, but top-tier law firms in the country have also adapted AI tools for routine work. AI has changed workflows by streamlining research, drafting, and due diligence while raising important questions around ethics, bias, and the future of legal education. To keep up with these developments, law schools need to update their curricula with AI integration to ensure students remain employable. Some institutes have taken initial steps towards AI teaching and learning. In the long run, though, institutes will need to provide students with practical, hands-on exposure to AI tools. Students need to be taught to adapt to technology while preserving the core principles of legal education. They need to sharpen their critical assessment skills to verify AI-generated content, check legal citations, and ensure jurisdictional relevance. To discuss how this change can be brought forth, The Hindu will host a webinar titled 'Gamechanger: Teaching AI to law students, lawyers', on July 5 at 5:00 p.m. The panellists include Shouvik Kumar Guha, Associate Professor, NUJS; Sonam Chandwani, Managing Partner, KS Legal & Associates; Rohit Sharma, Founder, Law Firm Ready. The webinar will be moderated by Ravina Warkad, who works at the education vertical of The Hindu. Register now for free to ask questions and interact with the panellists. Those who ask the three best questions will receive a free online subscription to The Hindu. Panellists Shouvik Kumar Guha, Associate Professor, NUJS Shouvik Kumar Guha is currently serving as an Associate Professor of Law and Technology at The West Bengal National university of Juridical Sciences (NUJS). He is also the Founding Director of the Centre for Law, Literature and Popular Culture, the Associate Director of the Centre for Aviation and Space Laws, and the Assistant Director of the Centre for Financial and Regulatory Governance Studies, the Centre for Competition Laws and Centre for Law and Technology at NUJS. He is also a TEDx speaker, a Senior Research Fellow (Non-Resident) at the Vidhi Centre for Law and Policy, Associate Research Fellow (Non-Resident) at the Centre for Responsible Artificial Intelligence (CeRAI), IIT Madras, a Visiting Faculty at the Rajiv Gandhi School of Intellectual Property Law, IIT Kharagpur, and at the Indian Institute of Management, Rohtak, as well as an Honorary Adjunct Professor at the Institute for Advancing Intelligence (IAI) of TCG Centres for Research and Education in Science and Technology (TCG CREST). Sonam Chandwani, Managing Partner, KS Legal & Associates Sonam Chandwani is the Managing Partner at KS Legal & Associates and heads the firm's Corporate Litigation Practice. She specialises in commercial structures, commercial litigation, mergers and acquisitions generally, with an emphasis on large-scale and complex commercial litigation including contract law, trade practices, real estate disputes and finance issues across a range of industry sectors. She advises on insolvency matters and her expertise covers all forms of dispute resolution, arbitration and mediation. Rohit Sharma, Founder, Law Firm Ready Rohit Sharma is an alumnus from the National University of Juridical Sciences (NUJS), Kolkata. After working with organisations such as Cyril Amarchand Mangaldas, Jansahas, he founded Awaaz Leadership Labs(ALL) and Law Firm Ready. His organisation has so far trained 10,000+ law students from over 650 law schools in the country. He is currently working on building differential learning pedagogies in legal education and working towards reforms in clinical legal education. Mr. Sharma has also served as researcher at Lakshmi Mittal South Asian Institute, Harvard University, where he researches on 'History of Punishment in India'. (2022-2025). He is the conceptualiser of NUJS Diversity Report, MP Migrants Report, Vernacular Legal Blogs Series(JILS) and Reforms in Legal education Interview Series (JILS). (For any feedback or suggestions, reach out to us at education@