Uniphore specializes in conversational AI solutions that automate and enhance customer interactions. Its main products include tools for conversational automation, analytics, and virtual assistants, which help businesses improve their customer service operations, reduce costs, and enhance service quality. These tools integrate with existing customer service systems to automate routine tasks and provide real-time insights into customer interactions, making it easier for service agents to respond to customers in a personalized and timely manner. Uniphore stands out from competitors by focusing on specific industries like finance and telecommunications, serving notable clients such as BNP Paribas Wealth Management and PNB MetLife. The company's goal is to help businesses leverage AI for better customer engagement and operational efficiency, generating revenue through a subscription-based model that allows clients to scale their usage as needed.

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Uniphore

For example, Uniphore, a US-based automation technology company, recently acquired Hexagone, a France-based emotional AI company, to enhance emotional AI integration in conversational service automation.

Trends in the Emotional AI Industry: Global Market Insights for 2024

Headshot Company recently partnered with Uniphore to provide an instant delivery headshot booth on their stand at the Call & Contact Centre Expo at ExCel London.

Expo Headshot Booth For Uniphore at ExCel London

（ビジネスワイヤ） -- エンタープライズAIのグローバル・リーダーであるユニフォアは、業界をリードする２社のデータ企業、ActionIQとInfoworksを買収することを発表しました。これにより、ユニフォアのAI対応製品が大幅に拡充され、包括的なエンド・ツー・エンドのエンタープライズAIプラット

ユニフォアがActionIQとInfoworksを買収、業界初ゼロデータAIクラウドの提供へ

Uniphore, the global leader in Enterprise AI, today announced it is acquiring two industry-leading data powerhouses, ActionIQ and Infoworks, which significantly expands its AI-powered offerings.

Uniphore Acquiring ActionIQ and Infoworks to Deliver the Industry's First Zero Data AI Cloud

Uniphore also announced transformational partnerships with Interaction Insight, CompuCom SAS and most recently, a partnership with Konecta, one of the world's leading business transformation experts.

Uniphore Recognized on 2024 Deloitte Technology Fast 500(TM) as One of North America's Fastest-Growing Companies

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. As companies begin experimenting with multimodal retrieval augmented generation (RAG), companies providing multimodal embeddings — a way to transform data to RAG-readable files — advise enterprises to start small when starting with embedding images and videos. Multimodal RAG, RAG that can also surface a variety of file types from text, images or videos, relies on embedding models that transform data into numerical representations that AI models can read. Embeddings that can process all kinds of files let enterprises find information from financial graphs, product catalogs or just any informational video they have and get a more holistic view of their company. Cohere, which updated its embeddings model, Embed 3, to process images and videos last month, said enterprises need to prepare their data differently, ensure suitable performance from the embeddings, and better use multimodal RAG.“Before committing extensive resources to multimodal embeddings, it’s a good idea to test it on a more limited scale. This enables you to assess the model’s performance and suitability for specific use cases and should provide insights into any adjustments needed before full deployment,” a blog post from Cohere staff solutions architect Yann Stoneman said. The company said many of the processes discussed in the post are present in many other multimodal embedding models.Stoneman said, depending on some industries, models may also need “additional training to pick up fine-grain details and variations in images.” He used medical applications as an example, where radiology scans or photos of microscopic cells require a specialized embedding system that understands the nuances in those kinds of images.Data preparation is keyBefore feeding images to a multimodal RAG system, these must be pre-processed so the embedding model can read them well. Images may need to be resized so they’re all a consistent size, while organizations need to figure out if they want to improve low-resolution photos so important details don’t get lost or make too high-resolution pictures a lower quality so it doesn’t strain processing time. “The system should be able to process image pointers (e.g. URLs or file paths) alongside text data, which may not be possible with text-based embeddings

Multimodal Rag Is Growing, Here’S The Best Way To Get Started

To address these data gaps, Uniphore has introduced X-Stream, a unified and open architecture that brings all necessary tools and controls to one place.

Uniphore unveils X-Stream, a unified knowledge offering to build RAG apps 8x faster

Uniphore, one of the world's largest AI-native, enterprise-class companies, today announced the appointment of Ravi Mayuram as the company's new Chief Technology Officer (CTO).

Uniphore Names Ravi Mayuram as New CTO

PALO ALTO, Californie--(BUSINESS WIRE)--Uniphore, l’une des plus importantes entreprises natives de l’IA au monde, a annoncé une mise à jour majeure de sa solution d’analyse U-Analyze, qui s’appuie sur sa plateforme d’IA multimodale de pointe destinée aux entreprises pour aider les clients à accéder efficacement aux données et à répondre à leurs besoins en matière d’IA. La nouvelle version d’U-Analyze, alimentée par l’IA générative, répond directement au besoin croissant qu’ont les entreprises internationales de tirer parti de la puissance de l’IA et de leurs propres données. En s’appuyant sur les conversations avec les clients, qu’elles soient en format textuel, vocal ou vidéo, les dirigeants peuvent prendre des décisions éclairées, opportunes et fondées sur des données afin de révolutionner l’expérience de leurs clients ainsi que les performances des agents. Cette annonce constitue une étape mûrement réfléchie qui fait suite à l’introduction de la solution révolutionnaire U Capture d’Uniphore, une solution native de l’IA qui aide les clients à capturer, structurer et appliquer une suite complète de données multimodales – le tout alimenté par la X-Platform de l’entreprise. L’un des principaux avantages pour les clients est la propriété de leurs propres données et la possibilité d’y accéder à chaque fois qu’ils en ont besoin, afin de générer de la valeur ajoutée

Uniphore Dévoile Une Mise À Jour De Sa Solution D’Analyse Des Interactions Basée Sur L’Ia Générative

カリフォルニア州パロアルト--(BUSINESS WIRE)--（ビジネスワイヤ） --. 世界最大規模のAIネイティブ企業であるユニフォアは、同社の「U-Analyze」分析ソリューションへの大規模なアップグレードを発表しました。これは、業界最先端のマルチモーダルなエンタープライズAIプラットフォームを基盤とし、顧客が効果的にデータにアクセスし、AIのニーズに対処できるよう支援するものです。. この新たな生成AI搭載バージョンのU-Analyzeは、グローバル企業の間で高まっている、AIの力と自らのデータを活用することへのニーズに直接対応します。テキスト、音声、動画での顧客との会話から、企業リーダーは知識豊富でタイムリー、かつデータ主導の決断を下し、顧客体験および代理店のパフォーマンスに革命を起こすことができます。

ユニフォア、生成Ai搭載の強化型インタラクション分析ソリューションを発表

Automates customer interactions with AI solutions

Uniphore

Automates customer interactions with AI solutions

Uniphore

Automates customer interactions with AI solutions

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