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Appier unveils Generative AI integration across entire product suite to boost advertising, personalization, and data solutions

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LLM technology powers intelligent business strategies across platforms, reflecting a long-term commitment to R&D and sustained growth

TAIPEI, Nov. 21, 2024 /PRNewswire/ — Appier, a software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to drive business decision-making, has announced the integration of generative AI (GenAI) technology across its entire product suite. This adoption of advanced Large Language Model (LLM) technology spans Appier’s three major platforms—Advertising Cloud, Personalization Cloud, and Data Cloud. These upgrades are set to improve customer acquisition, retention, conversion, and data insights, driving operational efficiency and supporting smarter business decisions. This latest update underscores Appier’s deep commitment to advancing R&D and reinforces its dedication to sustainable growth over the long term.

According to a McKinsey report, GenAI’s impact on productivity is expected to contribute US$2.6 trillion to US$4.4 trillion annually to the global economy. Additionally, Gartner projects that by 2026, over 100 million humans will engage robocolleagues to contribute to daily tasks, emphasizing GenAI’s swift transition into mainstream adoption, particularly in automation and content creation. In the future, advertising will evolve into a dynamic medium for meaningful dialogue between brands and potential customers. By leveraging real-time data insights and analysis, brands can generate timely ad creatives and compelling copy to foster stronger, two-way communication with their audiences. This innovative approach mitigates ad fatigue and drives greater marketing effectiveness.

To fully unlock GenAI’s commercial potential, Appier has embedded AI-driven automation across every stage of the advertising and marketing journey. From core processes like audience segmentation to highly-personalized content creation and strategic optimization, Appier’s AI-powered solutions adapt dynamically to the complex needs of today’s marketers. By leveraging its powerful data moat, proprietary algorithms, and deep domain expertise, Appier empowers clients to transform into AI-first organizations, achieving higher ROI and sustaining a competitive edge in their markets.

Key GenAI-powered innovations in Appier’s product suite include ad creative optimization and text variation, background image creation and image expansion, enhanced A/B message testing, knowledge bot, salesbot, customer journey copilot, onsite AI editor, and data analysis copilot for auto-generating reports within the customer data platform.

1. Advertising Cloud

Conversational advertising: Traditionally, creating ad content was time-consuming, often struggling to accurately predict users’ conditions and deliver the right content. Today, GenAI enables dynamic ad creative optimization, allowing ads to interact seamlessly with users in real-time. By leveraging user-ad interaction data, it provides precise insights into users’ psychological states and behavioral patterns, empowering brands to deliver the right message to the right audience at the right moment.

For example, concise and impactful ads can target working professionals during their morning commute, while rich, detailed carousel ads are more suited for evening relaxation hours. Powered by GenAI, conversational ads enhance advertising performance and reduce deployment costs, paving the way for more efficient and impactful marketing strategies.

Image generationBackground image creation: Previously, marketers had to rent photography studios to produce high-quality product images, customizing backgrounds for special occasions to drive e-commerce sales. GenAI can rapidly generate diverse, creative backgrounds based on product features, tailoring them to various advertising scenarios and target audiences. It can seamlessly integrate external data like location, weather, and holidays to enhance conversion rates. For example, it might create a mountain backdrop for UV-resistant hats or water-splashed imagery for waterproof shoes, subtly reinforcing the motivation to purchase.Adaptive smart image editing: Online advertising offers numerous ad placements. Traditionally, design teams had to create multiple ads in various sizes to meet platform requirements. GenAI empowers marketers to efficiently adapt images for numerous online ad spaces. By uploading an image and selecting dimensions or zooming into custom areas, the AI identifies the foreground and background, generating images that seamlessly fit various ad formats or close up an object to meet dynamic placement needs.

2. Personalization Cloud

Customer journey copilot: Marketers used to manually configure campaigns across various channels, including eDMs, instant messaging, and web or app push notifications, requiring substantial time and effort. With natural language prompts and a co-pilot feature, marketers can easily design omnichannel customer journeys. The system auto-generates high-impact marketing plans to optimize customer engagement with minimal resource investment. Fifteen pre-built templates support diverse scenarios, including new user registration, welcome messages, product promotions, and post-sale services, ensuring comprehensive customer interaction and enhanced retention.Enhanced message to show A/B testing: In the past, determining which push message resonated the best often required two weeks of testing. Now, an AI assistant intelligently distributes traffic across multiple push versions while maintaining a control group. Through attribution analysis, it identifies the version with the highest engagement – measured by views, clicks, and conversions – and automatically adjusts traffic distribution to prioritize top-performing pushes. GenAI integration simplifies multi-version testing, enriching the user experience. Future advancements will enable AI to predict optimal message outcomes based on user behavior and historical data, identifying the most effective message to show.Knowledge bot: Skilled customer service representatives depend on accumulated experience and continuous learning. Traditional chatbots, on the other hand, frequently fall short, providing irrelevant answers when not adequately trained. This intelligent knowledge bot, integrating LLMs with Appier’s proprietary technologies, can be trained on company information, product descriptions, FAQs, and campaign URLs to build a comprehensive understanding of the brand. It works seamlessly with human agents to provide accurate responses, while a customizable key system continuously improves its performance based on user feedback, enhancing response accuracy over time.Sales bot: Consumers exhibit diverse profiles and shopping behaviors that vary depending on the context. They can be classified as casual shoppers, impulse buyers, budget-conscious, research or gift-driven customers. Factors such as product awareness, purchase intent, price rage, urgency, brand loyalty, and emotional triggers all play a role in influencing the likelihood of conversion or transaction. Appier’s salesbot is designed to accurately identify and address consumers’ personalized needs. From recommending new products and offering special discounts to delivering time-sensitive deals and presenting gift suggestions, the salesbot acts as a virtual sales assistant for marketers. It not only guides purchasing decisions but also significantly boosts conversion rates and enhances the overall user experience.Onsite AI editor: Traditionally, updating website content required extensive design and IT support, often taking over a week to complete. With GenAI, marketers can now create website templates by simply inputting text or layouts, reducing cross-department collaboration time from weeks to seconds. The system includes ten pre-built templates, enabling the quick implementation of commonly used features such as new product launches, product recommendations, and countdown timers.

3. Data Cloud

Data analytics copilot: Marketers often spend hours analyzing reports to uncover business insights, and developing data analysts with specialized expertise in analytics has proven challenging. With GenAI, they can generate detailed reports in seconds using text prompts, providing precise analysis of campaign outcomes and allowing clients to focus on strategic decision-making. The data analysis copilot evaluates customer behavior from initial brand contact to purchase, assesses the impact of various channels on conversions, and supports real-time adjustments to optimize marketing strategies.

With the seamless integration of GenAI, Appier delivers a powerful, streamlined solution that reinforces its leadership in intelligent business decision-making. These innovations simplify workflows, enhance productivity, inspire creativity, improve user experiences, and, most importantly, strengthen brand competitiveness. Appier remains committed to advancing AI-driven solutions that foster sustainable growth and drive business breakthroughs in the rapidly evolving AI landscape.

About Appier

Appier (TSE: 4180) is a software-as-a-service (SaaS) company that uses artificial intelligence to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier has 17 offices across APAC, Europe and US and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more company information, and visit ir.appier.com/en/ for more IR information.

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Zifo Transforms Ontology Engineering with AI-Powered Intelligent Automation

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Advanced AI solution speeds up ontology creation by 80%, generating structured, interoperable knowledge models for science-driven organizations.

CAMBRIDGE, Mass. and CAMBRIDGE, England, April 30, 2026 /PRNewswire/ — Zifo, the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations, has developed an Intelligent Automation solution for Ontology Engineering, which is designed to seamlessly generate structured, interoperable knowledge models while accelerating ontology creation by 80%.

Overcoming the Bottlenecks of Manual Ontology Creation

Manual ontology creation in the biopharma industry has traditionally been a time-consuming process that requires specialized expertise. Organizations frequently struggle with semantic ambiguity, complex integration challenges, and limited scalability, resulting in workflows that can take weeks to complete. Zifo’s AI-powered automation tackles these challenges head-on by eliminating 80% of the manual work through automated class generation, description creation, and precise IRI mapping.

Addressing the Complexities of Semantic Knowledge

Developing comprehensive knowledge models often demands deep domain expertise to define relationships and align terminology. Zifo’s intelligent solution overcomes this by providing an AI-guided workflow featuring an intuitive interface, meaning specialized ontology engineering knowledge is no longer required. By leveraging LLM-powered generation, the solution creates precise definitions with a deep understanding of domain-specific context, while generating standardized synonyms and establishing controlled vocabulary alignment to eliminate inconsistent terminology.

A Solution Designed for Scalable Scientific Data Modeling

The AI-powered solution addresses critical format compatibility and integration points in ontology management:

Seamless Integration: Automated mapping connects directly to established ontologies, including NCIT, CHEBI, OBI, and EFO, via BioPortal and OLS APIs.Massive Scalability: Parallel processing and batch operations empower teams to execute large-scale ontology projects without performance limitations.Automated Hierarchies: The AI autonomously generates semantic relationships and parent-child hierarchies based on domain context and predefined relation vocabularies.Format Compatibility: The solution produces direct OWL/RDF exports with proper URIs, ensuring seamless downstream integration.

Unique Features include:

Multi-Source Integration: The solution combines BioPortal, OLS, and EMBL-EBI APIs to guarantee comprehensive ontology coverage.Intelligent Ranking System: The system uses AI-powered relevance scoring and justification for precise ontology mappings.Precise IRI Mapping: It ensures that each generated class is linked to the correct IRI, directly promoting semantic web compatibility.Human-in-the-Loop Design: The solution automates repetitive tasks while maintaining vital expert oversight.End-to-End Workflow: Users are guided through a complete pipeline, from initial domain knowledge input straight to exportable OWL files.Visual Knowledge Graph: An interactive graph visualization allows for intuitive relationship exploration and validation.Multi-Format Exports: Provides seamless export options in CSV, OWL, or HTML Ontograph formats for downstream use, collaboration, and visualization.

Strategic Value Across the Scientific Chain

This solution breaks down the traditional barriers of data structuring. Built on a robust backend of Python, LangChain, and leading LLM models, alongside a frontend framework using Next.js 15 and Cytoscape.js for graph visualization, the solution is highly adaptable. Furthermore, future optimization enhancements will include provisions for uploading user-defined classes or semi-ready ontologies.

About Zifo

Zifo is the leading global enabler of AI and data-driven enterprise informatics for science-driven organizations. With expertise spanning research, development, manufacturing, and clinical domains, Zifo serves a diverse range of industries including Pharma, Biotech, Chemicals, Food and Beverage, and more. Trusted by over 190 organizations worldwide, Zifo is the partner of choice for advancing digital scientific innovation.

For more information, visit www.zifornd.comhttps://zifornd.com/practical-ai-blueprints/

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View original content:https://www.prnewswire.com/news-releases/zifo-transforms-ontology-engineering-with-ai-powered-intelligent-automation-302758975.html

SOURCE Zifo Technologies

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UNC-Chapel Hill establishes ‘Carolina in the Capital’ with new Washington, D.C. office

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CHAPEL HILL, N.C., April 30, 2026 /PRNewswire/ — The University of North Carolina at Chapel Hill has opened a new office in Washington, D.C., establishing an expanded presence for the University in the nation’s capital and creating exciting opportunities for students, faculty, staff and alumni.

Located at 101 Constitution Avenue NW, the 10,861-square-foot space – coined “Carolina in the Capital” – will support a variety of functions, including educational programming for undergraduate and graduate students, alumni relations and engagement with government partners.

As a leading R1 university, UNC-Chapel Hill annually attracts more than $1.6 billion to the state’s economy to fund research that creates a better quality of life for all its citizens. More than 60% of UNC-Chapel Hill’s total research funding comes from federal sponsors with the majority of that federal funding coming from the National Institutes of Health (NIH), which is based in the Washington area.

“Carolina in the Capital is a state-of-the-art facility that reflects our commitment to creating experiential learning opportunities for our students and faculty,” said Chancellor Lee H. Roberts. “The space is designed as an immersive learning environment where students can translate classroom knowledge into hands-on experience, which has never been more important. The facility also strengthens our ability to support engagement between our staff, alumni, policymakers and partners.”

Supporting students participating in Carolina’s Washington-based academic programs is a priority. For years, students and faculty have relied on temporary or borrowed spaces across the city. The new office provides a permanent home where students can gather, learn and build community while living and studying in Washington. A robust schedule of classes and events will fill the space throughout the year.

The Washington, D.C. region is home to the largest concentration of out-of-state Carolina alumni anywhere in the country. The new office creates a dedicated space to strengthen those connections and support networking, mentorship, professional development and community-building among D.C.-based Tar Heels.

The space will also serve as a platform to bring Carolina’s research and academic expertise into closer conversation with policymakers, industry leaders and member organizations. Carolina is the nation’s 11th largest university in the country based on research volume with primary federal funding coming from NIH and the National Science Foundation (NSF), both based in the D.C. area. Carolina is a proud member of the Association of American Universities (AAU) and the Association of Public & Land Grant Universities (APLU), which are both based in Washington.

The office is funded entirely through the UNC-Chapel Hill Foundation and does not use any state appropriations.

You can view additional photos of the space here.

Media Contact: UNC Media Relations, 919-445-8555, mediarelations@unc.edu

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SOURCE University of North Carolina at Chapel Hill Office of Communications

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Investing.com Acquires Stonki to Accelerate Its Entry into the Agentic AI Era

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The acquisition strengthens Investing.com’s AI capabilities, advancing a next-generation research assistant that can analyze markets, generate insights, and guide investors in real time

NEW YORK, April 30, 2026 /PRNewswire/ — Investing.com, one of the world’s largest financial platforms used by more than 60 million investors each month, today announced the acquisition of Stonki, an AI-powered investing assistant designed to help traders turn ideas into structured, actionable trading plans.

The move marks a major step in the company’s evolution toward agentic AI, strengthening its ability to deliver faster, deeper, and more actionable market insights to a growing base of more than 300,000 paying subscribers across its InvestingPro suite, the company’s premium subscription offering for advanced market data, tools, and AI-driven insights.

Over the past 12 months, nearly 3 million users have used WarrenAI, Investing.com’s AI-powered financial research assistant launched last year, to perform market analysis, making AI a central entry point into the platform’s ecosystem. With the addition of Stonki, the company is moving beyond traditional AI tools toward agentic systems that can proactively guide users through the investment process.

“We’re entering the age of agentic AI, where the technology moves beyond just answering questions to actively helping investors think, analyze, and act,” said Omer Shvili, CEO of Investing.com. “Bringing Stonki.ai into the fold accelerates our goal of building an agentic platform that will serve as a 24/7 analyst for our users. We are developing this to be more than just a tool; it will be a partner that identifies opportunities, tracks unfolding situations, and surfaces trade ideas even when the user isn’t active—giving our users the kind of edge that was previously only available to professional investors.”

Founded in 2025, Stonki is developing a new category of ‘agentic’ AI for investing, enabling users to turn investment ideas into fully defined strategies with entry and exit conditions, risk management rules, and continuous monitoring.

“We started Stonki because, as investors and traders ourselves, we knew how much time and focus it takes to stay on top of the market and properly manage a day trade, a swing trade, an investment idea, or a portfolio,” said Ulas Bilgenoglu and Itay Verkh, co-founders of Stonki. “We set out to build AI that could carry part of that load by continuously monitoring the market, turning ideas into structured strategies, and helping users make better decisions with clear entry and exit conditions, disciplined risk management, and ongoing tracking. Joining Investing.com gives us the scale, data, reach, and strong AI foundation to accelerate that vision. Together, we can create an experience where AI helps users stay ahead of the market, manage risk, and act with greater confidence.”

The acquisition expands Investing.com’s AI capabilities across both technical and fundamental investing workflows. Stonki’s technology is built around persistent, real-time intelligence, continuously monitoring markets, tracking user-defined strategies, and alerting investors when conditions align, rather than relying on one-off prompts or static analysis.

For active traders, the platform is evolving into a real-time analysis engine designed to support high-frequency decision-making with precision and speed. For long-term investors, it is becoming a central hub for research, enabling users to evaluate opportunities, set personalized alerts, and monitor portfolios based on their individual investment strategies.

Users will be able to define specific conditions, such as a stock crossing a long-term moving average, and have the AI continuously monitor the market, analyze relevant signals, and surface actionable insights in real time. The system will also review portfolios on an ongoing basis, helping investors avoid potential losses and uncover new opportunities aligned with their strategy.

This latest step builds on Investing.com’s broader strategy of expanding its AI-powered suite, including WarrenAI, ProPicks AI, and its recently launched AI Chart Analysis, all aimed at delivering faster, more accurate and more actionable insights to investors.

View original content:https://www.prnewswire.com/news-releases/investingcom-acquires-stonki-to-accelerate-its-entry-into-the-agentic-ai-era-302756588.html

SOURCE Investing.com

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