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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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ASUS Accelerates Enterprise AI at Scale with 6th-Gen AMD EPYC Server CPUs

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 ASUS leverages 6th-gen AMD EPYC Server CPUs to deliver scalable, efficient compute for enterprise AI, cloud, virtualization and business-critical workloads

SAN FRANCISCO, July 24, 2026 /PRNewswire/ — ASUS today announced its groundbreaking new server lineup powered by the AMD EPYC™ 9006 processors, engineered to deliver unmatched performance for the most demanding intensive enterprise workloads. This advanced portfolio introduces two highly optimized series with efficiency-optimized AMD EPYC SP8 server CPU, the flagship dual-socket ASUS RS700A/720A for extreme compute density and the single-socket ASUS RS500A/520A for superior space efficiency and deployment flexibility.

Both series integrate full PCIe® 6.0, leading memory support, and high-density E3.S storage, all underpinned by proprietary ASUS innovations for superior thermal management and operational efficiency to meet and exceed the rigorous demands of enterprise AI, virtualization, storage and cloud environments.

“The new ASUS server series, powered by 6th-gen AMD EPYC server CPUs, is engineered to power every enterprise workload with flexible, scalable infrastructure,” Paul Ju, Senior Vice President of ASUS, commented, “This launch marks a significant milestone for ASUS and our clients. The new series empowers businesses with a resilient foundation to achieve unprecedented computing efficiency and accelerating AI innovation with inference.”

ASUS expands 6th-gen AMD EPYC server portfolio with dual optimized series

ASUS has introduced a new server lineup segmented into two distinct series, each precisely engineered to meet diverse enterprise demands.

The flagship RS700A/720A series (dual-socket) delivers extreme compute density, making it ideal for AI inferencing, and complex simulations. It offers exceptional bandwidth with PCIe 6.0, memory leadership via 32 DIMM slots supporting ultrafast MRDIMM, and high-density storage with up to 32 E3.S bays in a compact 2U form factor.

Complementing this is the RS500A/520A series (single-socket), a highly efficient and space-optimized solution with depth under 800mm, perfect for mainstream enterprise workloads and rack-constrained environments. Featuring full PCIe 6.0 capabilities, E3.S storage support, and modular scalability through shared components with the RS700A and RS720A series, it provides uncompromised performance in a streamlined, deployment-friendly design.

ASUS elevates the AMD EPYC platform with cutting-edge proprietary innovations

ASUS has significantly advanced the AMD EPYC 9006 platform with a series of proprietary engineering breakthroughs focused on superior reliability, thermal management, and operational efficiency.

The DC-MHS modular architecture features a zone-partitioned chassis that separates I/O, HPM, fan, and storage modules to accelerate development, reduce capital costs, and enable rapid serviceability. The patented ASUS DIMM.2 Innovation repositions M.2 storage to the cooler DIMM region, eliminating thermal throttling without extra heatsinks and unlocking greater scalability. Thermal Radar 3.0 with PID Control delivers precise real-time fan regulation via advanced algorithms, reducing energy use and maintaining peak performance under heavy enterprise-level workload.

Completing the suite is the optimized tool-less operational-velocity design, which boosts maintenance efficiency, maximizing uptime and lowering TCO and sustaining peak performance even under volatile, high-load AI/HPC workloads.

AVAILABILITY & PRICING

ASUS RS700A/720A series and RS500A/520A series servers will be available soon. Please contact your local ASUS representative for further information.

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Fractal posts 20% revenue growth and 92% net income growth in Q1 FY27

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Adjusted EBITDA Grows at 35% YoYGross Margin up 29 bps1 to 46%; Adjusted EBITDA Margin up 189 bps to 17%

NEW YORK, July 24, 2026 /PRNewswire/ — Fractal Analytics Ltd (BSE: 544700) (NSE: FRACTAL) announced its consolidated financial results for Q1 FY27, ending June 30, 2026.

In Q1 FY27, the Company reported consolidated operating revenue of INR 9,125 m, a growth of 20% year on year (YoY). Revenue growth was led by the company’s Healthcare and Life Sciences (HLS) industry, which clocked 69% growth YoY. Strong sustained growth in HLS over the last several quarters has resulted in it becoming the second largest industry in the portfolio. Banking, Financial Services and Insurance (BFSI) also performed very well, growing 36% YoY in Q1. Fractal’s largest industry, Consumer Packaged Goods and Retail (CPGR), continued to gather momentum, growing 19% YoY. On the other hand, TMT declined 22% YoY.

Fractal’s focus on deepening customer relationships continues to yield good outcomes. Its clients collectively increased their spending with the company, as reflected in the Net Revenue Retention2 of 117% in Q1. Further, its Net Promoter Score (NPS) during the period stood at 77.

The company reported improved profit margins at all levels. Gross Margin in Q1 was at 46%, while Adjusted EBITDA Margin expanded by 189 bps YoY to 17%. Net Income grew 92% YoY to INR 723 m.

Commenting on the performance, Srikanth Velamakanni, Group CEO and Executive Vice-Chairman, said:

“Enterprises are putting real transformation budgets behind AI now and we’re seeing it directly in the size of the deals coming to us. TMT was the drag on our headline growth this quarter. Excluding TMT, our business grew 35% year on year, which is a better read on the underlying demand we’re seeing.

As data sovereignty becomes a bigger priority for governments and enterprises, and as open-weight models keep improving, clients need a partner who can work across models and infrastructure. We have invested heavily in our people, our research, and our own intellectual property to be that partner.”

1 Basis points = 1/100th of 1%
2 Net Revenue Retention in our Fractal.ai segment measures how effectively we retain and expand revenue from our existing clients over a defined period and is calculated by comparing the current period’s revenue from the clients who existed at the start of the period, with their revenue in the previous period – including the effects of upsells, cross-sells and contractions

About Fractal 

Fractal Analytics Ltd (BSE: 544700) (NSE: FRACTAL) is a globally recognized pure-play enterprise AI company trusted by Fortune 500®-sized enterprises to power decision-making through AI services, solutions, and products, anchored by Cogentiq, its flagship agentic AI platform. With over 6,000 professionals across North America, EMEA, and Asia-Pacific, Fractal partners with business leaders to drive competitive differentiation for their organizations by embedding AI into critical decisions across business functions and industry verticals.

Fractal invests more than 6% of its revenue in AI R&D, supporting foundational AI research, product development, and IP creation that address both immediate client needs and long-term technological advancement. Fractal’s track record includes developing proprietary models and products such as Cogentiq Health – Vaidya.ai and Cogentiq Data Science – PiEvolve, as well as incubating and spinning out Qure.ai, a global healthcare AI leader focused on the rapid identification and management of tuberculosis, lung cancer, and stroke (or critical health conditions). Fractal’s suite of businesses consists of Asper.ai (a Revenue Growth Management product for CPG companies) and Analytics Vidhya (an Ed-tech platform).

For more information, go to www.fractal.ai.

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SOURCE Fractal Analytics Limited

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Xryma Plc : Pre-Listing Liquidity Facility and Price Discovery Process

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NICOSIA, Cyprus, July 24, 2026 /PRNewswire/ — Xryma Plc (“Xryma”)  announces its intention to reapply within the next twelve months for admission to list on Euronext Paris (“Euronext”), with such admission being subject to Euronext’s approval. Before submitting its application, Xryma intends to launch a pre-listing liquidity facility and price discovery process, comprising a private placement to institutional and qualified investors alongside a secondary market offer to Xryma existing shareholders (“shareholders”) wishing to exit prior to listing.  

The admission referred to above that is subject to the approval of Euronext may also be subject to approval by relevant regulatory authorities, and no assurance can be given that approval will be granted or as to the timing of any admission.

The pre-listing liquidity facility and price discovery process is designed to:

Enable shareholders seeking an exit to participate without the need to open an EU brokerage account,Provide a clear and orderly opportunity for existing shareholders to sell all or part of their holdings ahead of any potential admission to trading on Euronext Paris,Enable shareholders to sell all or part of their holdings at the same price at which qualified and institutional investors subscribe for shares in the Company,Establish, through a bookbuild with qualified and institutional investors, a market-validated referenced price for Xryma shares ahead of any potential admission on Euronext Paris (the “Primary Market Placement Price”),Support orderly trading upon potential admission.

Individual shareholder mailouts explaining the details of the pre-listing liquidity facility scheme with instructions and necessary documentation will be conducted during August 2026.

As the Primary Market Placement Price is to be determined by the subsequent bookbuild, shareholders will be given the opportunity to set a floor price which will result in the sale of their shares if the Primary Market Placement Price is higher.  Shareholders will receive the Primary Market Placement Price minus applicable fees.

Shareholders and Investors may be scaled back to match corresponding demand from the other party, with partial fulfilment a possibility if the Company cannot match supply to demand.

Completion of the process is subject to achieving a level of institutional and qualified investor demand that the Board considers appropriate to support an orderly market should Xryma subsequently be admitted to trading on Euronext Paris.

Participation is entirely voluntary. Shareholders who do not wish to sell will simply retain their shares. Shareholders that do not intend to participate should continue to onboard with a Euronext participating broker, or a Euroclear ESES custodian, per previous communications.

The major shareholders, SCP Select All Enterprise (Monaco) and SCP Red 5 Solutions (Monaco) will not participate in the offer and will be subject to lock up arrangements.

Mr Nikogiannis (John) Karantzis, CEO of Xryma Plc comments: “Our shareholders have told us they would value a straightforward way to realise their holdings without the time and cost of opening an EU brokerage account. This process is our response to that feedback. We are structuring the placement to be large enough to establish a credible reference price whilst limiting dilution, with demand directed first towards meeting shareholder sell interest. We look forward to updating the market on the revised timetable in due course.”

Shareholders seeking a more detailed explanation of the pre-listing liquidity facility and price discovery process, should refer to the guide available at https://www.xryma.com/investors

Important Information & Disclaimers

This press release may contain inside information within the meaning of Article 7(1) of Regulation (EU) 596/2014 (Market Abuse Regulation).

This publication is not for publication or distribution or release, directly or indirectly, in or into the United States of America (including its territories and possessions, any state of the United States and the District of Columbia), Canada, Australia, South Africa, Japan or any other jurisdiction where such an announcement would be unlawful. The distribution of this publication may be restricted by law in certain jurisdictions and persons into whose possession this document or other information referred to herein comes should inform themselves about and observe any such restriction. Any failure to comply with these restrictions may constitute a violation of the securities laws of any such jurisdiction. No action has been taken that would permit an offering of the treasury shares or possession or distribution of this publication in any jurisdiction where action for that purpose is required.

This publication does not constitute or form part of an offer for sale or solicitation of an offer to purchase or subscribe for securities in the United States, Canada, Australia, South Africa, Japan or any other jurisdiction and the securities referred to herein have not been registered under the securities laws of any such jurisdiction. Any New Shares (if such are issued) will not be registered under the United States Securities Act of 1933, as amended (the “Securities Act”), or under the securities laws of any State or any other jurisdiction of the United States, and may not be offered or sold, directly or indirectly, in the United States except pursuant to an exemption from, or in a transaction not subject to, the registration requirements of, the Securities Act and in compliance with all applicable securities laws of any State or any other jurisdiction of the United States. No public offering of securities is being made in the United States or in any other jurisdiction.

The information set forth herein must not be distributed in any jurisdiction where such distribution is unlawful, and any recipients are requested to inform themselves about and to observe such restrictions.

The Offering referred to herein by Xryma Plc will only be made in accordance with all applicable corporate and securities laws. Any shares referred to herein will exclusively be offered or sold in reliance on any applicable exemptions from prospectus or registration requirements in any jurisdiction. In member states of the European Economic Area, this publication is only addressed to and directed at persons who are ‘qualified investors’ within the meaning of Article 2(e) of Regulation (EU) 2017/1129 (as amended and including any relevant delegated regulations, the “Prospectus Regulation”) or in any other circumstances falling within exemptions available in the relevant member state under Article 1(4) and/or 1(5) of the Prospectus Regulation. In the United Kingdom, this publication is only addressed to and directed at qualified investors within the meaning of the Prospectus Regulation, as it forms part of domestic law by virtue of the European Union (Withdrawal) Act 2018, as amended (“EUWA”), who are persons (i) who have professional experience in matters relating to investments falling within Article 19(5) (investment professionals) of the Financial Services and Markets Act 2000 (Financial Promotion) Order 2005 (as amended, the “Order”), (ii) falling within article 49(2)(a) to (d) (high net worth companies, incorporated associations, etc.) of the Order, or (iii) to whom it may otherwise be lawfully communicated; any other persons in the United Kingdom should not take any action on the basis of this publication and should not act on or rely on it.

This publication does not constitute a recommendation concerning the prospective Offering. This announcement does not constitute an Offer or invitation to subscribe.

This announcement includes statements that are, or may be deemed to be, ‘forward looking statements’. These forward-looking statements can be identified by the use of forward looking terminology, including the terms ‘believes’, ‘estimates’, ‘anticipates’, ‘expects’, ‘intends’, ‘may’, ‘will’, or ‘should’ or, in each case, their negative or other variations or comparable terminology, or by discussions of strategy, plans, objectives, goals, future events or intentions. By their nature, forward looking statements involve risk and uncertainty because they relate to future events and circumstances which may or may not occur. Many of these factors are beyond the control of the Company. Should one or more of these risks or uncertainties materialise, or should underlying assumptions prove incorrect, actual results and circumstances may vary materially from those described in this announcement as anticipated, believed, estimated or expected.

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