Latest news with #NLG
Yahoo
14-07-2025
- Business
- Yahoo
Healthcare & Life Sciences NLP Market Report 2025-2030, with Case Studies of CSL Behring, IQVIA, Atrius Health, Linguamatics, Humana, Watson, Philips, and Amazon
The NLP in healthcare & life sciences market is projected to grow from USD 5.18 billion in 2025 to USD 16.01 billion by 2030, at a CAGR of 25.3%. This growth is driven by the need to convert unstructured clinical data into actionable insights, enhancing clinical decision support. Key segments include Natural Language Generation (NLG), which improves documentation efficiency, and Named Entity Recognition (NER), critical for extracting structured information. North America leads due to its advanced infrastructure, while Asia Pacific shows rapid expansion. Prominent players such as Microsoft, Google, and IBM are pivotal in driving this market evolution. NLP in Healthcare & Life Sciences Market Dublin, July 14, 2025 (GLOBE NEWSWIRE) -- The "NLP in Healthcare & Life Sciences Market by NLP Technique, Application - Global Forecast to 2030" has been added to NLP in healthcare & life sciences market is experiencing rapid growth, expected to expand from USD 5.18 billion in 2025 to USD 16.01 billion by 2030, driven by a CAGR of 25.3% during the forecast period. The surge in unstructured clinical data, such as electronic health records, physician notes, and pathology reports, drives the need for NLP technologies to extract actionable insights. Clinical decision support plays an increasing role, with NLP enabling real-time diagnostics and treatment recommendations in precision medicine. Outdated IT systems, however, present integration and interoperability challenges, though the modernization of healthcare systems positions NLP as a cornerstone of personalized, data-driven care delivery. NLG Type Segment to Account for Fastest Growth Natural language generation (NLG) is poised to be the fastest-growing segment within the NLP market for healthcare and life sciences. By transforming structured clinical data into coherent narratives, NLG enhances documentation and reduces physician workload, automating the creation of patient summaries, discharge notes, and personalized communications. This drives patient engagement and adherence, propelled by the rising need for efficient data management and automation across healthcare operations. As providers aim for better operational efficiency and patient outcomes, NLG establishes itself as a crucial tool for accurate and timely clinical documentation. NER NLP Technique Segment Holds Largest Market Share Named entity recognition (NER) is the dominant segment in NLP for healthcare, crucial for extracting structured information from unstructured medical texts. It enhances decision-making, medical coding, and data interoperability by identifying key entities like diseases, drugs, and patient information. The capability to process extensive EHRs and biomedical literature makes NER essential for improving diagnostics and research. As the healthcare industry increasingly depends on data-driven insights, the precision of NER solidifies its role as a foundational tool in multiple medical applications. Regional Insights: North America Leads, Asia Pacific Shows Fastest Growth North America spearheads the NLP market in healthcare and life sciences, attributed to advanced IT infrastructure, supportive digital health regulations, and early adoption of EHRs and AI. The region features leading industry players and research institutions actively deploying NLP for clinical decision-making and administrative automation. Conversely, Asia Pacific emerges as the fastest-growing region, driven by healthcare digitization, AI investment, and personalized medicine awareness, with China, India, and Japan at the forefront. The regional demand and technological advancements make it a hotspot for NLP adoption. Competitive Landscape The report profiles major players such as Microsoft, Google, IBM, AWS, Oracle, and others, providing detailed analysis of their business strategies, solutions, partnerships, and market developments. Research Coverage This report segments the NLP market based on offering (software and services), deployment mode (cloud & on-premises), NLP type (NLU and NLG), and NLP technique options such as NER, OCR, sentiment analysis, among others. Applications span patient care, clinical operations, research, and administration, with segmentation by end-user and region. The report covers drivers, restraints, challenges, and opportunities influencing the NLP market growth, alongside a comprehensive analysis of key industry players and the strategies they adopt. It provides insights for market leaders and new entrants alike, offering clear approximations of revenue potentials and educating stakeholders on competitive, market, and strategic landscapes. The Report Offers Insights On: Analysis of key drivers, restraints, opportunities, and challenges facing the industry. Upcoming product developments and innovations in NLP technology for healthcare. Market development in various regions and diversification opportunities. Competitive assessment of market shares, growth strategies, and service offerings of prominent market players. Key Attributes: Report Attribute Details No. of Pages 354 Forecast Period 2025 - 2030 Estimated Market Value (USD) in 2025 $5.18 Billion Forecasted Market Value (USD) by 2030 $16.01 Billion Compound Annual Growth Rate 25.3% Regions Covered Global Key Topics Covered: Market Dynamics Drivers Surging Volume of Unstructured Clinical Data Rising Demand for Enhanced Care Delivery and Patient Engagement Need for Predictive Analytics to Improve Significant Health Concerns Increasing Focus on Enhancing Clinical Decision Support Restraints Clinical Accuracy and Reliability Concerns Issues Related to Domain-Specific Language and Medical Terminology in NLP Model Development Complexity in Integrating NLP with Established Healthcare System Opportunities Rising Adoption of Computer-Assisted Coding to Enhance Productivity Emergence of Advanced AI Technology for Generating Valuable Insights for Healthcare Emergence of Cognitive Computing for Medicine Applications Challenges Model Training Data Limitations High Cost of Implementation and Maintenance of NLP Technology Explainability and Interpretability Issues while Deploying NLP Algorithms Case Studies Case Study 1: CSL Behring Collaborated with IQVIA's NLP Team, Linguamatics, to Create Proof of Concept Case Study 2: Atrius Health Used Linguamatics I2E to Create Queries to Extract Clinical Data from Free-Text Fields Within Clinician Progress Notes and Clinical Reports Case Study 3: Humana Adopted Watson's Voice Agent to Offer Enhanced Self-Service Capabilities to Healthcare Providers Case Study 4: Biopharmaceutical Company Deployed IQVIA's Solutions to Conduct Health Technology Assessment Case Study 5: Philips Adopted Amazon's Elastic Compute Cloud (Amazon EC2) to Attain Secure, Resizable Computing Capacity Company Profiles IBM Microsoft Google AWS IQVIA Oracle Inovalon Dolbey Systems Averbis SAS Institute Solventum Press Ganey Ellipsis Health Lexalytics NVIDIA GE Healthcare Clinithink HPE Oncora Medical Flatiron Health Datavant Edifecs John Snow Labs ITRex Group KMS Healthcare Appinventiv Reveal HealthTech Veritis Optum Health Catalyst Amboss Maruti Techlabs DeepScribe Foresee Medical Notable Health Biofourmis Suki AI Wave Health Technologies Corti CloudMedX Emtelligent Enlitic Deep 6 AI For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment NLP in Healthcare & Life Sciences Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900Error 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
Al Bawaba
19-06-2025
- Business
- Al Bawaba
Gartner Predicts 75% of Analytics Content to Use GenAI for Enhanced Contextual Intelligence by 2027
Seventy-five percent of new analytics content will be contextualized for intelligent applications through generative AI (GenAI) by 2027, enabling composable connection between insights and actions, according to Gartner, Inc.'We're moving from an era where analytic tools help business people make decisions, to a future where GenAI-powered analytics becomes perceptive and adaptive,' said Georgia O'Callaghan, Director, Analyst at Gartner. 'This will enable dynamic and autonomous decisions that have the potential to transform enterprise and consumer software, business processes and models.'A Gartner survey of 403 analytics or AI leaders, conducted between October and December 2024, revealed over 50% report their organizations use AI tools for automated insights and natural language queries (NLG) for analytics or AI development. Even with these capabilities, the static nature of current analytics often falls short of delivering in a truly dynamic and automated predicts augmented analytics capabilities will evolve into autonomous analytics platforms by 2027, which will fully manage and execute 20% of business processes. The perceptive future of analytics will deliver benefits by being proactive, collaborative, connected, contextual and continuous (see Figure 1).Figure 1: AI-Powered, Perceptive AnalyticsSource: Gartner (June 2025)'Perceptive analytics will use AI agents and other GenAI-fueled technologies to continuously monitor evolving conditions and perceive the target environment, such as market shifts, customer behavior changes or supply chain disruptions,' said O'Callaghan.'Guidance and analysis can then be autonomously adjusted in response, creating a more resilient and responsive analytical infrastructure. As these capabilities emerge and be adopted by organizations, their potential to reshape business operations and drive growth will only continue to expand.'Perceptive Analytics Overarching RiskAccording to Gartner research, the overarching risk that applies to perceptive analytics is the over reliance on autonomous actions without sufficient validation, which could result in unintended negative consequences, reputational damage and regulatory risk of "agent drift" is a serious concern, where a system's perceptions and actions gradually deviate from desired outcomes due to evolving data or unforeseen interactions. Guardian agents are emerging to deal with this inherent issue in AI systems, according to Gartner. These agents are specifically tasked with monitoring and enforcing policies and rules to ensure the systems operate within a set of guardrails. 'Building guardian agents will need to be a key focal point of new governance initiatives for data and analytics leaders, as agentic and perceptive analytics become the standard way of insight delivery across platforms,' said O'Callaghan.
Yahoo
13-06-2025
- Politics
- Yahoo
Protesting in Michigan this weekend? These are your rights
With a Washington military parade, President Donald Trump's birthday and growing opposition to immigration raids in Los Angeles, organizers have planned protests around the country for this weekend. Protests have been a part of the United States since the founding of the country. The U.S. Constitution guarantees rights, but that doesn't always mean the police will respect them or that a court will uphold them if they're violated, according to the National Lawyers Guild's "Know Your Rights — a guide for protesters." "When you are protesting or having any interaction with law enforcement, asserting your rights does not usually mean that the police will respect your rights or change how they are treating you. However, by using your rights ... you can make it harder for police to use your own statements or anything found on you during a search as evidence against you during a trial." Public property. No permit is necessary to march on public sidewalks, as long as car and pedestrian traffic is not obstructed, according to the ACLU of Michigan. Police may ask demonstrators without a permit to move to the side of a sidewalk to let people pass or for other safety reasons. According to the ACLU, the rights of protesters and organizers are strongest in "traditional public forums," such as streets, sidewalks and parks. People have the right to speak out in front of government buildings as long as they are not blocking access or interfering with operations. The rules for speech on private property are determined by the property owner. Counter-protesters also have the right to be present and voice displeasure within the vicinity of a different group, although they do not have a right to physically disrupt an event or drown out the speakers they are protesting, according to the ACLU. Some Michigan cities, including Detroit, Ann Arbor and Grand Rapids, ask large gatherings that have the potential to obstruct traffic obtain a permit with up to 70 days' notice. The National Lawyers Guild recommends trying to end law enforcement interaction as quickly as possible, as well as stating your rights out loud when asked questions. 'If a cop is speaking to you on the street, ask: 'Am I free to go?' If they say yes, you should leave, if you can do that safely. "If the cop says anything other than yes, follow up with: 'Am I being detained?' If they say anything other than yes, then say that you do not want to talk further and leave immediately,' according to NLG's Know Your Rights guide. If a police officer asks a question, a protester does not have to answer and can let the officer know they will remain silent and want to speak to a lawyer. Statements you make to people who are not police can be held against you, according to the NLG. In Michigan, police cannot ask you to provide your name or other identity information unless you have been detained on reasonable suspicion that you have committed a crime. This right is not the same in every state. Police are allowed to pat down the outside of your clothing without consent, but they need your permission or a warrant to search beyond that, according to NLG's guide. To decline a search, the guide recommends using the standard legal phrasing, 'I do not consent.' Michigan's ACLU recommends asking for a lawyer immediately, remaining silent and not signing or agreeing to anything without a lawyer. If a defendant hasn't hired a lawyer, they can ask for a court-appointed public defender if they can't afford it, according to Michigan Legal Help from the Michigan Supreme Court and Michigan State Bar Association. If you are arrested, you will be searched as part of the arrest process, according to NLG. Police officers may lie to you about having evidence, deals to drop charges, overstating penalties for crimes, the timeline of your detention, and whether they are recording, according to the guide. Lying to a government agent is sometimes a criminal offence, while remaining silent until speaking to a lawyer is not, according to the NLG. When in a public space, people have the right to photograph anything in plain view, including federal buildings and police, according to Michigan's ACLU. On private property, property owners may set their own rules. Police may not confiscate or demand to view photos or videos without a warrant. They may not delete data under any circumstances, according to the ACLU. Police may order citizens to stop recording if they are "truly interfering with legitimate law enforcement operations, but video recording from a safe distance is not interfering," according to the ACLU. [ Help us make the Free Press better for you. ] According to Michigan's ACLU, police may not disperse a protest unless there is "clear danger of a riot, disorder, interference with traffic, or other immediate threat to public safety." "Protesters must receive a clear and detailed notice of a dispersal order, including how much time they have to disperse, consequences for failing to disperse, and what exit route they can follow before they may be arrested or charged with any crime," according to the ACLU. Officers must give "reasonable opportunity to comply, including sufficient time and a clear exit path," according to the ACLU. The ACLU of Michigan recommends getting contact information of witnesses, taking photos of injuries, and writing down everything you can remember, including officers' names, badge and patrol car numbers. With this information, you can file a written complaint to a civilian complaint board, police department or agency, according to the ACLU. This article originally appeared on Detroit Free Press: Protest rights in Michigan: What to know ahead of No Kings events
Entrepreneur
21-05-2025
- Business
- Entrepreneur
How Generative AI Is Shaping Public Discourse During Geopolitical Tensions
"Specifically, adversaries are deploying Natural Language Generation (NLG) models to produce synthetic news articles, social media posts, and deepfake multimedia content that appear highly credible and are designed to sow discord or confusion among the population," Ankush Sabharwal, Founder and CEO, CoRover Opinions expressed by Entrepreneur contributors are their own. You're reading Entrepreneur India, an international franchise of Entrepreneur Media. The scale and sophistication of AI-generated misinformation in India is rising sharply. In 2025 alone, the country is projected to lose INR 70,000 crore to deepfake-related frauds, according to Pi-Labs' "Digital Deception Epidemic" report. Since 2019, deepfake-linked cybercrime cases have surged by over 550 per cent. As geopolitical tensions escalate, generative AI (GenAI) is increasingly being misused to manipulate narratives, and stir panic in public. With social media platforms transcending borders and verification frameworks, the spread of fake content often indistinguishable from reality has become alarmingly easy. Now the question is how prepared is India to defend itself from these emerging threats? A new age of information warfare Experts warn that both state and non-state actors are leveraging GenAI to launch influence campaigns during moments of national vulnerability. "Hostile actors are leveraging AI-driven technologies, particularly generative models and deep learning algorithms, to manipulate public narratives in India. These actors utilise AI for large-scale content generation, sentiment manipulation, and disinformation amplification across digital platforms," shared Ankush Sabharwal, Founder and CEO, CoRover. "Specifically, adversaries are deploying Natural Language Generation (NLG) models to produce synthetic news articles, social media posts, and deepfake multimedia content that appear highly credible and are designed to sow discord or confusion among the population." Sabharwal added that these campaigns often exploit regional languages, cultural sensitivities, and fault lines through micro-targeting, especially during elections or military flare-ups. A race against time While the volume of synthetic content is accelerating, India's cyber defence systems are attempting to keep pace. "India has made commendable progress through initiatives like the Indian Computer Emergency Response Team (CERT-In), which employs AI/ML-based threat intelligence systems to monitor anomalies and respond to cyber incidents proactively," Sabharwal noted. Yet vulnerabilities remain, particularly in coordination and speed. "Although India has made great progress in strengthening its cyber defences and media integrity, the speed at which AI-driven misinformation is spreading necessitates more flexible and comprehensive countermeasures," explained Ankit Sharma, Senior Director and Head, Solutions Engineering, Cyble. Further Sharma added, "India's digital borders need dynamic, real-time monitoring with quick takedown mechanisms, just like its physical borders, which are protected by layered surveillance." High risk in tier 2 and tier 3 regions Sharma also believes that misinformation and deep fakes pose greater danger in Tier-2 and Tier-3 regions where digital literacy remains low, but smartphone and social media usage is high. "The risk is extremely high," said Sharma. "When AI-created disinformation, particularly voice recordings or videos in local languages is distributed into these communities, the information is ingested without fact-checking…One effectively written AI-fabricated instance of misinformation can trigger real-world effects ranging from social tension to election manipulation or cyberattacks on critical infrastructure," he noted. The legal void There is growing consensus that India urgently needs a dedicated legal framework to combat AI-powered fake news especially in times of national crisis. "India needs, at an urgent level, a legal framework to deal with the weaponisation of AI in the information space, particularly in the event of war or national emergencies," Sharma emphasised. Further he said that the current IT laws are at times inadequate in dealing with the sophistication of synthetic media, transnational attribution, or algorithmic amplification. While concluding Sabharwal said, "A framework should mandate AI watermarking, source traceability, and accountability for hosting platforms while ensuring innovation isn't stifled."
Yahoo
09-04-2025
- Business
- Yahoo
Aegon announces reset of perpetual subordinated bonds
The Hague, April 9, 2025 - Aegon today announces that it will reset the coupon on its EUR 113 million (NLG 250 million) 1.506% perpetual cumulative subordinated bonds (ISIN: NL0000120004, originally issued in 1995, the 'bonds') on June 8, 2025. As of June 8, 2005, and every ten years thereafter, Aegon has had the option to either call the bonds or reset the coupon. The bonds will continue to be outstanding in accordance with their terms, with the next optional redemption date on June 8, 2035. The new coupon will be published on or around June 3, 2025. Contacts Media relations Investor relations Richard Mackillican Yves Cormier +31(0) 62 741 1546 +31(0) 70 344 8028 About Aegon Aegon is an international financial services holding company. Aegon's ambition is to build leading businesses that offer their customers investment, protection, and retirement solutions. Aegon's portfolio of businesses includes fully owned businesses in the United States and United Kingdom, and a global asset manager. Aegon also creates value by combining its international expertise with strong local partners via insurance joint-ventures in Spain & Portugal, China, and Brazil, and via asset management partnerships in France and China. In addition, Aegon owns a Bermuda-based life insurer and generates value via a strategic shareholding in a market leading Dutch insurance and pensions company. Aegon's purpose of helping people live their best lives runs through all its activities. As a leading global investor and employer, Aegon seeks to have a positive impact by addressing critical environmental and societal issues, with a focus on climate change and inclusion & diversity. Aegon is headquartered in The Hague, the Netherlands, domiciled in Bermuda, and listed on Euronext Amsterdam and the New York Stock Exchange. More information can be found at Forward-looking statementsThe statements contained in this document that are not historical facts are forward-looking statements as defined in the US Private Securities Litigation Reform Act of 1995. The following are words that identify such forward-looking statements: aim, believe, estimate, target, intend, may, expect, anticipate, predict, project, counting on, plan, continue, want, forecast, goal, should, would, could, is confident, will, and similar expressions as they relate to Aegon. These statements may contain information about financial prospects, economic conditions and trends and involve risks and uncertainties. In addition, any statements that refer to sustainability, environmental and social targets, commitments, goals, efforts and expectations and other events or circumstances that are partially dependent on future events are forward-looking statements. These statements are not guarantees of future performance and involve risks, uncertainties and assumptions that are difficult to predict. Aegon undertakes no obligation, and expressly disclaims any duty, to publicly update or revise any forward-looking statements. Readers are cautioned not to place undue reliance on these forward-looking statements, which merely reflect company expectations at the time of writing. Actual results may differ materially and adversely from expectations conveyed in forward-looking statements due to changes caused by various risks and uncertainties. Such risks and uncertainties include but are not limited to the following: Financial risks - Rapidly rising interest rates; Sustained low or negative interest rate levels; Disruptions in the global financial markets and general economic conditions; Elevated levels of inflation; Illiquidity of certain investment assets; Credit risk, declines in value and defaults in Aegon's debt securities, private placements, mortgage loan portfolios and other instruments or the failure of certain counterparties; Decline in equity markets; Downturn in the real estate market; Default of a major financial market participant; Failure by reinsurers to which Aegon has ceded risk; Downgrade in Aegon's credit ratings; Fluctuations in currency exchange rates; Unsuccessful management of derivatives; Subjective valuation of Aegon's investments, allowances and impairments; Underwriting risks - Differences between actual claims experience/underwriting and reserve assumptions; Losses on products with guarantees due to volatile markets; Restrictions on underwriting criteria and the use of data; Unexpected return on offered financial and insurance products; Reinsurance may not be available, affordable, or adequate; Catastrophic events; Operational risks - Competitive factors; Difficulty in acquiring and integrating new businesses or divesting existing operations; Difficulties in distributing and marketing products through its current and future distribution channels; Slow to adapt to and leverage new technologies; Failure of data management and governance; Epidemics or pandemics; Unsuccessful in managing exposure to climate risk; Unidentified or unanticipated risk events; Aegon's information technology systems may not be resilient against constantly evolving threats; Computer system failure or security breach; Breach of data privacy or security obligations; Inaccuracies in econometric, financial, or actuarial models, or differing interpretations of underlying methodologies; Inaccurate, incomplete or unsuccessful quantitative models, algorithms or calculations; Issues with third-party providers, including events such as bankruptcy, disruption of services, poor performance, non-performance, or standards of service level agreements not being upheld; Inability to attract and retain personnel; Political, regulatory, and supervisory risks - Requirement to increase technical provisions and/or hold higher amounts of regulatory capital as a result of changes in the regulatory environment or changes in rating agency analysis; Political or other instability in a country or geographic region; Changes in accounting standards; Inability of Aegon's subsidiaries to pay dividends to Aegon Ltd.; Risks of application of intervention measures; Legal and compliance risks - Unfavorable outcomes of legal and arbitration proceedings and regulatory investigations and actions; Changes in government regulations in the jurisdictions in which Aegon operates; Increased attention to sustainability matters and evolving sustainability standards and requirements; Tax risks; Difficulty to effect service of process or to enforce judgments against Aegon in the United States; Inability to manage risks associated with the reform and replacement of benchmark rates; Inability to protect intellectual property; Risks relating to Aegon's common shares - Volatility of Aegon's share price; Offering of additional common shares in the future; Significant influence of Vereniging Aegon over Aegon's corporate actions; Currency fluctuations; Influence of Perpetual Contingent Convertible Securities over the market price for Aegon's common shares. Additionally, Aegon provides some information in this report that is informed by various stakeholder expectations, non-US regulatory requirements, and third-party frameworks. Such information, whether provided here or in Aegon's other disclosures (including website materials), is not necessarily material for SEC reporting purposes. Even in instances where we use "material", this should not in all instances be deemed to refer to materiality for purposes of our U.S. federal securities filings, as there are various definitions of materiality used by different stakeholders, including but not limited to a more expansive "double materiality" standard pursuant to the European Sustainability Reporting Standards that has informed much of our sustainability disclosure. Similarly, while we leverage various frameworks in our disclosures, we cannot guarantee, and language such as "align" or "follow" is not meant to imply complete alignment with these requirements. We similarly cannot guarantee complete alignment with any stakeholder's interpretation or preference for the measurement or presentation of sustainability or other information in this report. Expectations, as well as our own approach, continue to evolve and may change for a variety of reasons, including regulatory or business requirements or other factors that may not be in our control. Similarly, certain disclosures are based on hypothetical scenarios which may not be reflective of expectations or future events; such scenarios are subject to inherent uncertainty given the long-time frames and breadth of variables involved. As a final note, documents and website references included herein are provided solely for convenience and are not incorporated by reference absent express language to the contrary. This document contains information that qualifies, or may qualify, as inside information within the meaning of Article 7(1) of the EU Market Abuse Regulation (596/2014). Further details of potential risks and uncertainties affecting Aegon are described in its filings with the Netherlands Authority for the Financial Markets and the US Securities and Exchange Commission, including the 2023 Integrated Annual Report. These forward-looking statements speak only as of the date of this document. Except as required by any applicable law or regulation, Aegon expressly disclaims any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements contained herein to reflect any change in Aegon's expectations with regard thereto or any change in events, conditions or circumstances on which any such statement is 20250409_PR_Aegon announces reset of perpetual subordinated bondsSign in to access your portfolio
