Latest news with #NLP
Time Business News
2 days ago
- Business
- Time Business News
Revolutionizing Healthcare: Introducing AI Voice Agents
The market for AI Voice Agents in Healthcare is witnessing remarkable expansion growing at a CAGR of 24.5%, driven by sophisticated digital assistants that enhance both clinical and operational processes. These conversational AI technologies utilize Large Language Models (LLMs) and natural language processing (NLP) voice capabilities to accurately understand user intent, access pertinent information, and provide articulate, natural-sounding responses. As pioneers in healthcare innovation, these AI voice agents are capable of automating a wide array of functions, including appointment scheduling, clinical documentation, symptom assessment, insurance assistance, and offering companionship in mental health contexts. They are designed to facilitate interactions that are multilingual, sensitive to emotional nuances, and compliant with regulatory standards. Soaring Demand across Healthcare: Use Cases and Industry Adoption Healthcare organizations—both providers and payers—are increasingly turning to AI voice agents to relieve administrative burdens, enhance patient engagement, and reduce costs. Deployments are concentrated across: · Appointment scheduling & patient engagement: Voice agents field inbound calls 24/7, eliminating missed appointments and reducing staff workloads. · Clinical documentation: Ambient and interactive AI agents capture encounter details in real time. · Patient triage & symptom checking: Offering preliminary guidance and care navigation. · Billing & insurance communication: Answering cost inquiries, verifying benefits, and guiding claim workflows. · Mental‑health support & companionship bots: Supporting vulnerable populations with empathetic conversational AI. Recent study indicate that over 85 % of implementations are cloud‑based, and hospitals & health‑systems currently lead adoption. However, independent clinics are rapidly embracing conversational tools, with adoption expected to accelerate during the forecast period. Real‑World Deployments: Product launch & Use Cases Zocdoc – 'Zo' (May 2025) Zocdoc launched 'Zo,' an AI phone assistant, in May 2025. Scheduled to address the bottleneck of hold times, Zo answers inbound scheduling calls on the first ring—24/7—handling unlimited volume and integrating seamlessly with practice EHRs. In early deployments, Zo resolves up to 70 % of calls within an average 3½ minutes, yielding an 83 % patient satisfaction rating. Providers like SINY Dermatology, Schweiger Dermatology Group, and QualDerm Partners have implemented Zo to manage peak call volumes efficiently. eHealth, Inc. In April 2025, eHealth, Inc. introduced an AI-driven voice assistant to guide consumers through health insurance plan selection. Acting as a non‑licensed agent, it enhances licensed agents' capabilities with an empathetic, conversational interface built into eHealth's service ecosystem. Innovaccer Inc. – Agents of Care™ (February 2025) At its Xccelerate 2025 conference, Innovaccer launched 'Agents of Care™,' pre‑trained AI agents built to automate repetitive care management and documentation tasks in response to staffing shortages. These agents helped reduce documentation time by 28 % and boosted patient engagement by 20 %. Cedar – 'Kora' (April 2025) Cedar debuted 'Kora' in late April 2025 as a voice agent designed to answer billing and payment calls. Pilot users—like ApolloMD—have found that Kora naturally handles patient inquiries about deductibles and costs, letting financial staff focus on complex cases Infinitus & Cencora Cencora has enhanced its patient access program by integrating Infinitus, which streamlines operations and improves patient care access. This collaboration involved incorporating Infinitus voice AI agents into Cencora's proprietary benefit verification system. The advanced technology within Cencora's ecosystem facilitates a more efficient process for benefit verification, reverification, prior authorization, and reporting, ultimately saving staff time and resources. Lumeris – 'Tom' for Post‑Discharge Care In February 2025, Lumeris, unveiled Tom, the most sophisticated AI-driven Primary Care as a Service solution aimed at alleviating the burdens faced by physicians and their teams while enhancing patient access to care. Tom functions as an AI-integrated member of the care team, seamlessly incorporated into clinical workflows to proactively expand the primary care team's capabilities in essential areas such as prevention and wellness, care coordination, social determinants of health, population health, and chronic disease management. Regional adoption trends: The adoption of AI voice agents in healthcare is gaining momentum globally, with North America leading the charge due to its advanced healthcare infrastructure, high investment in digital health, and presence of major AI vendors. The United States, in particular, has seen rapid integration of voice agents across hospitals, outpatient clinics, and insurance providers, largely to alleviate administrative burdens and improve patient access. This region benefits from supportive regulatory frameworks, reimbursement incentives, and a growing need to combat staffing shortages. Europe follows closely, with countries like Germany, the UK, and France accelerating adoption through national AI strategies, robust data protection regulations, and increased funding for healthcare innovation. European healthcare systems are embracing voice AI to streamline operations while ensuring compliance with privacy laws such as GDPR. Meanwhile, the Asia-Pacific region is experiencing the fastest growth in AI voice agent adoption, driven by rising healthcare demand, increasing public-private investments, and large, multilingual populations. Countries like China, Japan, and India are deploying these technologies to improve access in underserved areas and reduce strain on overburdened systems. Latin America and the Middle East & Africa are at earlier stages of adoption but are progressing steadily, supported by government-led digital health initiatives and collaborations with global tech firms. As infrastructure matures and awareness of AI's benefits increases, these emerging regions are poised to become significant contributors to the global AI voice agents market. Merger & Acquisition Activity: Acquisitions are creating synergies: core strengths in conversational AI are paired with domain expertise in payer communication, billing compliance, clinical workflows, and patient experiences—positioning these companies to scale rapidly. In August 2024, SoundHound AI, Inc., a global leader in voice artificial intelligence, announced its acquisition of Amelia, a prominent enterprise AI software company. This strategic merger positions SoundHound AI as the leading provider of voice and conversational generative AI, extending its influence across various sectors, including retail, financial services, healthcare, automotive, smart devices, and restaurants, among others. In January 2025, SuperDial completed the acquisition of MajorBoost, a prominent conversational AI firm that focuses on automating phone interactions with health insurers. This strategic move significantly bolsters SuperDial's voice AI capabilities, paving the way for enhanced operational efficiencies within healthcare organizations. As the healthcare industry continues to evolve, AI voice agents are proving to be a pivotal force in reshaping patient interactions, operational efficiency, and overall care delivery. From automating routine administrative tasks to enhancing patient engagement and access, these intelligent systems are driving measurable improvements across the care continuum. With strong adoption in mature markets and accelerating interest in emerging regions, the future of AI voice technology in healthcare looks exceptionally promising. As innovation continues and more healthcare stakeholders embrace digital transformation, AI voice agents will play an increasingly central role in delivering scalable, personalized, and efficient healthcare experiences worldwide. About Author: HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making. TIME BUSINESS NEWS
Yahoo
2 days ago
- Business
- Yahoo
Viewbix: Metagramm Unveils AI-Powered Grammar Solution for Enterprises Seeking Secure, Private, and Customized Language Models
New on-premises grammar engine to revolutionize enterprise language accuracy using proprietary data Tel Aviv, Israel, July 11, 2025 (GLOBE NEWSWIRE) -- Viewbix Inc. (Nasdaq: VBIX) ('Viewbix' or the 'Company'), a global developer of ad-tech innovative technologies, today announces that Metagramm Software Ltd. ('Metagramm'), a leading innovator in enterprise AI solutions and its wholly-owned subsidiary, unveils a new advanced on-premise grammar engine, designed specifically for large organizations that demand high linguistic accuracy, data privacy, and tailored communication standards. Unlike generic grammar tools, this enterprise-grade solution will be deployed entirely on-premises, ensuring full data control and compliance with strict security regulations. The engine is trained and continuously adapted using the company's internal data to allow highly accurate grammar, tone, and style corrections that reflect the unique voice and terminology of each organization. 'Most grammar engines are cloud-based and trained on general public data, which often fails to meet the needs of enterprise-level communication,' said Amit Greener, CEO of Metagramm. 'Our solution is different—it will be integrated into the customer's secure environment and will learn from its own data. That means better accuracy, more relevant suggestions, and no data exposure. The new solution is based on our core technology that was developed by a team of experts over the year, which we believe will allow us to launch the new solution in the next six months.' Key Features: On-Premise Deployment: Total data privacy and control with no external data sharing. Custom Language Models: Trained in the user's own documents, emails, and communication guidelines. Enterprise-Grade Accuracy: Grammar, tone, and style corrections tailored to industry-specific language. Secure Integration: Seamlessly connects with internal systems, like document management, intranet platforms, and email servers. Multilingual Capabilities: Support for multiple languages with localized grammar intelligence. The Grammar Engine is ideal for various sectors, such as finance, law, healthcare, and government, where secure, precise communication is mission-critical. About Metagramm Software Ltd. Metagramm specializes in developing advanced writing assistance tools that leverage artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) technologies. Their flagship product, Bubbl, is an innovative writing tool designed to provide personalized and customized text tailored to the user's unique expression. About Viewbix Inc. Viewbix, through certain of its subsidiaries Gix Media Ltd. and Cortex Media Group Ltd., operates in the field of digital advertising. The Group has two main activities search and digital content. The search develops a variety of technological software solutions, which perform automation, optimization and monetization of internet campaigns, for the purposes of acquiring and routing internet user traffic to its customers. The digital content is engaged in the creation and editing of content, in different languages, for different target audiences, for the purposes of generating revenues from leading advertising platforms, including Google, Facebook, Yahoo and Apple, by utilizing such content to obtain internet user traffic for its advertisers. Viewbix's technological tools allow advertisers and website owners to earn more from their advertising campaigns and generate additional profits from their websites. For more information about Viewbix, visit Forward-Looking Statements This press release contains forward-looking statements within the meaning of the 'safe harbor' provisions of the Private Securities Litigation Reform Act of 1995 and other Federal securities laws. Words such as 'expects,' 'anticipates,' 'intends,' 'plans,' 'believes,' 'seeks,' 'estimates' and similar expressions or variations of such words are intended to identify forward-looking statements. For example, Viewbix is using forward-looking statements when it discusses the expected timing of the commencement of trading of its shares of common stock on the Nasdaq and that the listing will enhance the Company's visibility and accelerate its growth trajectory. Because such statements deal with future events and are based on Viewbix's current expectations, they are subject to various risks and uncertainties, and actual results, performance or achievements could differ materially from those described in or implied by the statements in this press release. The forward-looking statements contained or implied in this press release are subject to other risks and uncertainties, including those discussed in any filings with the SEC. Except as otherwise required by law, Viewbix undertakes no obligation to publicly release any revisions to these forward-looking statements to reflect events or circumstances after the date hereof or to reflect the occurrence of unanticipated events. References and links to websites have been provided as a convenience, and the information contained on such websites is not incorporated by reference into this press release. Viewbix is not responsible for the contents of third-party websites. Investor Relations Contacts:Michal EfratyInvestor Relationsmichal@ 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
Techday NZ
5 days ago
- Business
- Techday NZ
What is agentic AI and why does it matter for finance?
AI agents work on behalf of users or systems to perform tasks that typically require human effort, such as processing natural language, analysing data, and making decisions. In finance, this technology is already making a significant impact, especially as AI agents become more capable of handling intricate workflows and large-scale data analysis, allowing finance teams to focus on strategic tasks rather than routine processes. You've probably interacted with a basic AI agent before - whether it was a customer service chatbot or an AI tool for generating content. While these early agents were limited, recent advancements in generative AI models have allowed for far more sophisticated AI agents. Today, they can plan, collaborate, and manage complex workflows, continuously learning to improve their performance. However, these agents can't function independently. They require high-quality data to work effectively, meaning they must be either embedded directly within the finance systems businesses already use or be seamlessly integrated into existing platforms. How do AI agents work in finance? AI agents perform tasks autonomously, based on instructions, data, and predefined objectives. Here's how they operate: Initial input: A user assigns a task to the AI agent, which autonomously plans and determines the best way to complete it. Data processing and analysis: AI agents access structured and unstructured financial data (e.g., transaction records, historical reports) and use machine learning and natural language processing (NLP) to interpret the data, finding patterns or anomalies that might otherwise go unnoticed. Task execution: The agent moves to execution by automatically gathering data, formatting it, highlighting key insights or triggering actions like sending alerts for discrepancies. Learning and improvement: Over time, AI agents refine their models, learning from new data and improving accuracy. For example, fraud detection agents improve pattern recognition as they process more transaction data. What are some financial use cases for AI agents? AI agents are already transforming many aspects of financial operations, providing smarter, faster, and more efficient solutions. Here are key use cases where AI is making an immediate impact: Automated reconciliations : AI agents cross-reference data from multiple sources, flagging discrepancies for human review, speeding up reconciliation processes. : AI agents cross-reference data from multiple sources, flagging discrepancies for human review, speeding up reconciliation processes. Real-time financial monitoring : AI agents monitor transactions, flagging anomalies in real time for fraud detection and expense management. : AI agents monitor transactions, flagging anomalies in real time for fraud detection and expense management. Tax compliance and reporting : AI automates tax calculations, and as it advances, it will dynamically adapt to changing tax laws, improving compliance. : AI automates tax calculations, and as it advances, it will dynamically adapt to changing tax laws, improving compliance. Cost optimisation : AI agents analyse spending data to recommend cost reductions, helping finance teams optimise budgets. : AI agents analyse spending data to recommend cost reductions, helping finance teams optimise budgets. Cash flow optimisation : AI agents predict cash flow and optimise working capital, ensuring businesses have the resources they need while maintaining profitability. : AI agents predict cash flow and optimise working capital, ensuring businesses have the resources they need while maintaining profitability. Debt collection management: AI tools automate follow-ups on overdue accounts and prioritise collections, improving recovery rates. The future of agentic AI in finance The development of AI agents has been extremely fast. Looking ahead, they're about to get even as they play an increasingly central role in transforming day-to-day operations and strategic organisational decisions. Here's what we can expect in the coming months and years: AI agents as autonomous decision-makers In the very near future, AI agents will move beyond performing tasks to becoming autonomous decision-makers. They will be able to continuously analyse financial data, make real-time adjustments to processes, and even initiate corrective actions without human input. For example, an AI agent could automatically adjust a company's cash flow projections based on new market conditions or recalibrate budgets in response to unexpected financial shifts. Advanced collaboration and orchestration We will soon see AI agents working together in more sophisticated ways. For example, a network of agents across different financial departments - budgeting, reporting, forecasting, and compliance – could all collaborate to provide a unified, real-time view of a business's financial health. Proactive financial risk management By continuously monitoring financial transactions and external factors, AI agents will be able to predict financial risks, such as fraud, market volatility or regulatory changes, before they happen. Smarter financial forecasting and strategy Through advanced predictive analytics, AI agents will be able to simulate various economic scenarios and recommend the best course of action. They will also adapt and learn from past decisions, continuously refining their forecasting models to offer more accurate insights. Ready to make AI a core part of your finance strategy? Annexa, Australia and New Zealand's leading NetSuite and systems integration partner, is here to help you transform your finance operations. Whether you're automating financial reporting, optimising cash flow, or harnessing AI capabilities to unlock valuable insights, we'll guide you in integrating agentic AI to drive efficiency and strategic growth. Learn more >
Time of India
03-07-2025
- Business
- Time of India
Beyond the pitch: How freelancers are using AI to predict client pain points before they arise
How freelancers can use AI to identify Client's pain point As the gig economy deepens its roots in the global labour ecosystem, freelancing has matured from an escape route into a strategic career choice. But in 2025, competition is not defined by price, speed, or skill alone; it's defined by anticipation. Freelancers across disciplines are no longer waiting for client briefs or feedback loops to dictate their next move. They're deploying artificial intelligence not to react, but to pre-empt, shifting from task execution to problem prevention. And in doing so, they are no longer service providers, they are solution architects. Client pain points: The blind spots that break deals Pain points, be they communication gaps, misaligned deliverables, scope creep, or unexpected delays, often go unspoken until they explode. What makes these particularly dangerous in freelancing is their silent nature. Unlike in-office teams with regular oversight, freelancers operate in silos, and the smallest misunderstanding can fracture an entire contract. But what if these problems could be detected in advance? What if friction could be forecasted like weather? That's exactly where AI steps in, not as a futuristic novelty, but as an everyday compass. Reading between the lines with sentiment mapping Natural language processing (NLP) tools like ChatGPT, or are being harnessed to analyse client communication, emails, Slack threads, Zoom transcripts. These tools parse tone, word repetition, and emotional cues, flagging subtle signs of frustration or disengagement. A repeated use of phrases like 'still waiting' or 'was expecting something else' may not be addressed directly, but AI can signal their frequency and intensity, helping the freelancer address the issue before it becomes critical. AI-augmented project intelligence Tools like Notion AI, ClickUp with AI Assist, and Asana Intelligence are becoming essential in helping freelancers monitor project momentum. Based on prior delays, communication lags, and the time clients take to respond, the system generates real-time predictions of where bottlenecks might appear. This allows freelancers to inform clients proactively: 'Based on previous approval timelines, we might need an extra two days if feedback is delayed beyond Wednesday.' It's not magic, it's machine-learned foresight. Portfolio diagnostics using feedback analytics Progressive freelancers are mining their own testimonials and feedback using platforms like MonkeyLearn or Lexalytics to identify recurring criticisms or lukewarm sentiments. AI scrapes reviews for words like 'slow,' 'inconsistent,' or 'too technical,' even when cloaked in polite language, enabling course correction in service offerings. What results is a portfolio that doesn't just show expertise, it addresses past pain points, often before a new client even has the chance to worry. For students: The strategic edge AI offers in freelancing If you're a student looking to carve out a niche in freelancing, understand this: tools may be abundant, but clarity is scarce. Clients remember freelancers who solve problems without being asked to. And the only way to do that consistently is to build an AI-augmented workflow. Here's how to start: Audit mock client conversations using NLP tools to detect tone changes. Use AI to simulate client feedback for your portfolio samples. Track your own turnaround time and client response patterns using project management dashboards. By turning feedback into foresight, students can position themselves not as beginners, but as emerging professionals. Case in point: Freelancing meets foresight Consider Vivek, a 22-year-old freelance UI designer from Pune. He ran his past project emails through sentiment analysis and realised that clients often expressed confusion around his handover files. Without waiting for future complaints, he created video walkthroughs and added annotations. The result? Client satisfaction scores jumped by 40%, and three former clients re-engaged him within months. His lesson: Don't just meet expectations, anticipate gaps. AI and empathy: The ethical tension It's tempting to see AI as a surrogate for understanding human behaviour. But AI should be seen as a lens, not a substitute. Predicting client discomfort is not about manipulation, it's about empathy scaled through data. The best freelancers use AI not to replace the human touch, but to amplify it with context. Freelancers who think like strategists, act like partners We are in an era where winning the pitch is no longer the finish line; it's the starting point. Those who will thrive are freelancers who see projects not as tasks, but as relationships. And relationships, like ecosystems, are healthiest when friction is pre-emptively reduced. In that space, AI is not the competitor, it's the compass. Freelancer's AI starter kit for students Tool Purpose Meeting recording + emotional tone detection MonkeyLearn Feedback and testimonial sentiment analysis Notion AI Workflow forecasting and idea generation Grammarly Pro Tone and clarity improvement in deliverables ClickUp AI Task prediction and dependency alerts Is your child ready for the careers of tomorrow? Enroll now and take advantage of our early bird offer! Spaces are limited.
Geeky Gadgets
03-07-2025
- Business
- Geeky Gadgets
Beginner's Guide to Building AI Agents to Sell
What if you could turn your curiosity about Artificial Intelligence into a thriving business opportunity? AI isn't just for tech giants or seasoned developers anymore—it's a field where even beginners can create impactful solutions that businesses are eager to buy. Imagine building an AI-powered tool that automates tedious tasks like email marketing or data analysis, saving companies countless hours and resources. These aren't just hypothetical ideas; they're real, high-value AI agents that solve pressing business challenges and are surprisingly accessible to develop. With the right approach, you can not only enter this dynamic field but also carve out a profitable niche in the growing automation market. SuperHumans Life explore five beginner-friendly AI agents that are both practical to build and highly marketable. From automating customer support to streamlining sales processes, these tools address critical pain points faced by businesses across industries. You'll discover how these agents use technologies like Natural Language Processing (NLP) and Machine Learning (ML) to deliver measurable results, while also learning why they're in such high demand. Whether you're looking to launch a side hustle or establish yourself in the AI space, these ideas offer a powerful starting point. The question isn't whether you can build and sell these agents—it's how far they can take you. Beginner-Friendly AI Agent Ideas AI-Powered Email Marketing Agent Email marketing remains a critical tool for customer engagement, yet managing campaigns can be labor-intensive. An AI-powered email marketing agent simplifies this process by automating essential tasks such as audience segmentation, email creation, scheduling, and follow-ups. Key functionalities include: Using Natural Language Processing (NLP) to personalize email content at scale, making sure relevance for each recipient. Analyzing past campaign performance to optimize subject lines, calls-to-action, and delivery times for improved engagement. Automating follow-ups to reduce manual effort while increasing lead conversions. This agent is particularly valuable for businesses aiming to enhance their marketing efficiency and achieve better results, making it a highly marketable solution for developers. Content Creation and Distribution Agent Maintaining a consistent online presence is essential for businesses, but creating and distributing content across multiple platforms can be overwhelming. A content creation and distribution agent automates this process, from idea generation to publishing. Core features include: Using Machine Learning (ML) to identify trending topics and generate platform-specific content. Repurposing existing materials, such as transforming blog posts into social media updates or video scripts. Scheduling and publishing content across various channels to ensure consistent visibility and engagement. By automating these tasks, this agent helps businesses build authority, maintain relevance, and stay competitive in crowded markets. 5 High Value AI Agents Beginners Can Build And Sell Watch this video on YouTube. Check out more relevant guides from our extensive collection on AI Agents that you might find useful. AI Sales Closer Agent Sales teams often struggle with lead follow-ups and qualification, which can slow down the sales cycle. An AI sales closer agent addresses these challenges by automating key processes, allowing sales teams to focus on closing deals. Capabilities include: Engaging with leads through email, chat, or voice calls, answering questions and scheduling meetings. Analyzing lead behavior to identify high-potential prospects and prioritize them for human follow-up. Reducing the time and cost associated with manual outreach, accelerating the sales process. This tool is ideal for businesses looking to scale their sales efforts efficiently and cost-effectively, making it a compelling product for developers to offer. AI-Powered Auto Analyst Agent Businesses generate vast amounts of unstructured data, such as emails, call recordings, and documents, which often remain underutilized. An AI-powered auto analyst agent transforms this data into actionable insights, allowing better decision-making. Core functionalities include: Applying advanced data analysis techniques to uncover trends, customer pain points, and opportunities for improvement. Automatically updating Customer Relationship Management (CRM) systems with relevant insights. Providing teams with accurate, real-time intelligence to enhance operational efficiency and strategic planning. By converting raw data into meaningful information, this agent enables businesses to make informed decisions and optimize their operations. AI Support Bot Customer support is a vital yet resource-intensive function for businesses. An AI support bot offers a scalable solution by handling repetitive queries and providing intelligent, on-brand responses around the clock. Key benefits include: Using NLP to understand and respond to customer inquiries with accuracy and relevance. Escalating complex issues to human agents when necessary, making sure seamless support. Reducing response times, lowering support costs, and improving overall customer satisfaction. This agent is an invaluable asset for businesses seeking to enhance their customer experience while minimizing operational overhead. Core Insights AI agents enable businesses to transition from manual, time-intensive processes to automated, scalable solutions. By addressing real-world challenges, these tools deliver measurable benefits such as: Increased operational efficiency. Enhanced customer engagement and satisfaction. Higher sales conversions and revenue growth. For beginners, the availability of user-friendly AI development tools and frameworks simplifies the process of creating and deploying these agents. The growing demand for automation across industries underscores the potential of this market. By identifying specific business pain points and addressing them with AI-driven solutions, you can establish a competitive edge and tap into a lucrative opportunity. Media Credit: SuperHumans Life Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
