Quiq, the enterprise-grade leader in agentic AI for customer experience (CX), has unveiled Conversation Analyst, a new AI-powered Quality Management solution designed to transform how organizations understand and improve every customer interaction.

By combining agentic AI intelligence with real-time analytics, Conversation Analyst evaluates both AI and human-led conversations across voice, web chat, SMS, and popular messaging channels such as Apple Messages for Business and WhatsApp. The system delivers actionable insights at scale, turning customer conversations into measurable performance data.

Redefining Quality Management Through AI

Unlike traditional tools that rely on manual sampling or post-interaction surveys, Conversation Analyst analyzes 100% of interactions, surfacing insights that CX teams can act on immediately. The platform allows companies to set custom prompts and metrics, offering a detailed, context-aware understanding of customer journeys.

Teams can use these insights to enhance empathy, compliance, and resolution efficiency—or even configure the system to automatically trigger actions, such as flagging policy violations or initiating follow-up processes.

“At Spirit, Quiq’s Conversation Analyst has become a critical part of how we operate,” said Vanessa Hardy-Bowen, Director of Guest Care and Contact Centers at Spirit Airlines. “It gives us real-time visibility into how both our human and AI agents handle conversations, not just compliance checks, but identifying issues with care and empathy. It’s helped us operate smarter and more proactively while elevating what great guest care should feel like.”

From Surveys to AI-Generated Insight

For years, CX teams have relied on self-reported metrics such as CSAT and NPS, often incomplete or biased. Conversation Analyst changes the game by automating qualitative measurement. It generates consistent, AI-driven insights for every interaction—transforming subjective feedback into reliable, data-backed metrics.

Results can be viewed by individual conversation, agent, or team, allowing leaders to pinpoint patterns and understand the “why” behind performance shifts in seconds.

“CX leaders have been held back by incomplete analytics and forced to guess what truly matters,” said Mike Myer, Founder and CEO of Quiq. “Conversation Analyst lets them ‘hear’ every voice completely. This isn’t just data—it’s agentic AI that uncovers subtle but profound insights and turns them into immediate, impactful actions.”

A New Era of AI-Driven CX Intelligence

Conversation Analyst ensures no customer voice goes unheard and no critical insight is overlooked. By bridging analysis and action, the platform enables organizations to detect issues before they escalate, personalize engagement, and continuously improve service quality.

The result: faster resolutions, smarter operations, and stronger customer loyalty—all powered by agentic AI that learns and adapts at scale.

With Conversation Analyst, Quiq is once again setting the benchmark for AI-driven CX transformation, proving that the future of customer service lies in intelligent systems that don’t just analyze—but act.

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Cyware, the global leader in AI-powered threat intelligence, secure collaboration, and security automation, has unveiled a major upgrade to its Quarterback AI platform—introducing a new AI Fabric designed to unify and accelerate cybersecurity workflows.

The latest evolution marks a bold leap forward from its initial Co-pilot chat assistant, launched in March 2024. With the rapid advancement of AI technologies, Cyware’s reimagined strategy blends Generative, Agentic, and In-Product AI capabilities to create an integrated intelligence layer for modern threat operations.

The AI Fabric: A Unified Layer for Smarter Cyber Defense

Cyware’s new AI Fabric is more than an enhancement—it’s a complete rearchitecture of how AI operates within the security stack. The system “weaves” intelligence into every stage of the threat intelligence lifecycle, from data ingestion to action.

This deep integration transforms threat intelligence management by delivering contextual insights, automation, and real-time collaboration—empowering analysts to move faster while maintaining precision and control.

“Paramount to Cyware’s direction is our customers’ success,” said Sachin Jade, Chief Product Officer at Cyware. “Our latest innovations in Quarterback AI tackle complex playbook creation, manual data collection, disconnected threat context, and delayed detection with the best AI methods available.”

Agentic AI Meets Real-World Security

Cyware’s AI Fabric approach aligns with the broader industry shift toward agentic AI—systems capable of reasoning, acting, and adapting autonomously within security environments. According to Akshat Jain, Cyware’s co-founder and CTO, this evolution is essential to meet the demands of modern threat landscapes.

“The advancements in AI this year make it clear that agentic AI and its real-world application are the future of cybersecurity,” Jain said. “We’ll continue to invest in that direction so our customers can respond faster, act smarter, and stay ahead of emerging threats.”

Inside the Cyware Quarterback AI Upgrade

The AI Fabric brings a suite of new AI agents and automation tools designed to simplify workflows and elevate decision-making across security teams:

• Playbook Builder Agent: Converts natural language inputs into operational playbooks, allowing analysts to design workflows without coding.

• Custom Code Generator: Creates code blocks automatically from simple prompts, accelerating playbook customization.

• Playbook Runlog Debugger: Diagnoses and resolves failed playbook executions through guided, step-by-step AI recommendations.

• Threat Summarization Engine: Instantly condenses complex intelligence reports into concise summaries to prevent analyst fatigue.

• Advanced Threat Intel Crawler (Browser Plugin): Transforms online threat data into structured intelligence in real time, eliminating manual scraping.

Together, these capabilities represent a powerful shift toward AI-native cybersecurity operations, where intelligence and automation are no longer separate tools but part of the same continuous workflow.

Driving Practical AI Adoption in Security

While AI’s promise in cybersecurity has often been met with cautious optimism, Cyware’s approach stands out for its practicality and embedded design. Rather than sitting outside core systems, the AI Fabric is built directly into Cyware’s operational infrastructure—ensuring security teams gain real, actionable value without sacrificing control or compliance.

The result is faster detection, improved accuracy, and reduced analyst burden—a combination that could redefine how enterprises approach threat intelligence orchestration and security automation in the years ahead.

As Cyware continues to push boundaries, the Quarterback AI platform reinforces its position as a trailblazer in applying agentic AI to one of the world’s most critical industries: cybersecurity.

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DataCamp, the global leader in online learning for data and AI skills, has announced the acquisition of Dubai-based Optima, an AI-native learning platform built to personalize and accelerate digital skill-building. The deal marks a major step forward in DataCamp’s vision to deliver dynamic, adaptive, and human-centered learning experiences powered by artificial intelligence.

Optima’s AI-Native Learning Model
Founded by Yusuf Saber, Optima’s platform dynamically adjusts lessons, explanations, and feedback in real time—tailoring every interaction to the learner’s profile, background, and pace. The company’s AI-native approach is already used by major Middle Eastern tech players including Talabat and Careem, helping enterprises keep up with rapid technological evolution and workforce upskilling demands.

With the acquisition, Optima’s proprietary technology has been integrated into DataCamp’s curriculum, giving premium users access to an adaptive learning experience in many of the platform’s top-rated courses. Over the next six months, the integration will expand across the entire DataCamp ecosystem.

Strategic Vision and Leadership Alignment
Yusuf Saber, founder and CEO of Optima, joins DataCamp as Chief AI Officer, leading global AI operations from the UAE.

“Optima was built to embed intelligence directly into learning,” said Saber. “By bringing our AI-native experience into DataCamp’s global platform, we’re setting a new standard for how people learn online.”

Driving Enterprise AI Upskilling
The acquisition strengthens DataCamp’s leadership at a time when global enterprises are racing to future-proof their workforce. With AI evolving at record speed, organizations increasingly depend on platforms that can combine conceptual learning with hands-on skill development.

DataCamp’s AI-native model will give businesses a scalable way to personalize upskilling programs, bridging skill gaps across data analytics, machine learning, and applied AI use cases.

Business Momentum and Market Growth
DataCamp continues to experience strong business growth—cashflow positive and on track to surpass $100 million in annualized recurring revenue by 2026. With over 18 million learners and 6,000 B2B customers, the company serves employees from 80% of the Fortune 1000, spanning industries such as technology (Google, Uber), finance, retail, manufacturing, and pharmaceuticals (Pfizer, Roche).

“We’re moving beyond static, generic learning,” said Jonathan Cornelissen, co-founder and CEO of DataCamp. “The future of data and AI education lies in dynamic, adaptive, and human-centered experiences—and with Optima, we’re ready to define that future.”

Conclusion
The acquisition of Optima marks a pivotal moment in DataCamp’s evolution from an online learning platform to a full-scale AI learning ecosystem. By embedding intelligence into every learner’s journey, DataCamp aims to help global organizations accelerate transformation and build future-ready teams.

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Murf AI, a leader in ethical, enterprise-grade voice technology, has officially unveiled Murf Falcon, a groundbreaking text-to-speech (TTS) API that promises to redefine the speed, efficiency, and naturalness of AI-generated voice.

With ultra-low latency of just 55 milliseconds, multilingual support across 35+ languages, and data residency in 11 regions, Falcon isn’t just an upgrade—it’s a full-blown disruption in the voice tech ecosystem. Designed specifically for developers, startups, and enterprises, Falcon enables the creation of seamless, high-performance voice agents that sound human and respond in real time.

Breaking the Speed Barrier in Text-to-Speech

Developers often struggle to balance responsiveness, naturalness, and cost in low-latency voice applications. Murf Falcon eliminates those trade-offs.

“Falcon was designed with a lightweight, compute-efficient neural architecture that delivers speed without sacrificing quality,” said Ankur Edkie, Co-founder and CEO of Murf AI.

By leveraging edge deployment across 11 global regions, Falcon dramatically reduces network delays, achieving a record 130ms time-to-first-audio—the fastest in its class. Competing APIs from ElevenLabs, Deepgram, and Cartesia simply can’t match that performance at scale.

Smarter Voice Tech with MultiNative Innovation

At the heart of Falcon’s breakthrough lies Murf’s MultiNative Technology, which allows natural code-switching between languages within a single sentence. The result? Authentic, conversational speech that feels native, regardless of the speaker’s or listener’s language context.

This multilingual fluency gives Falcon an edge in regions where code-mixed speech—say, English blended with Hindi or Spanish—is part of everyday communication.

Natural Speech Meets Enterprise Efficiency

Murf Falcon’s voice models excel at conversational prosody, handling pauses, tone shifts, and pronunciation nuances with 99.38% accuracy. Whether it’s a customer service bot, an e-commerce voice assistant, or a healthcare platform, Falcon’s speech sounds clear, confident, and human.

Cost efficiency is another headline feature. At just one cent per minute, Murf Falcon is the most cost-effective TTS API available today. Enterprises can scale voice applications globally without worrying about spiraling costs or degraded quality.

Built for Compliance, Powered by Ethics

Beyond performance, Murf Falcon aligns with Murf AI’s commitment to data privacy and ethical AI. The platform offers full data residency and deployment flexibility, including on-premise and cloud options to meet global compliance standards.

From multinational e-commerce platforms enabling real-time multilingual customer support to healthcare organizations deploying patient-friendly voice assistants, Falcon delivers secure, high-speed, and scalable voice AI.

Setting the Benchmark for AI Voice Agents

Murf Falcon isn’t just another API—it’s a statement of what’s possible when AI innovation meets ethical engineering. With its speed, scalability, and precision, Falcon positions Murf AI as a serious contender in the global text-to-speech market, outpacing legacy players in performance and affordability.

As AI voice agents continue to power customer experiences across industries, Murf Falcon stands ready to become the foundation of next-generation conversational systems—fast, fluent, and fundamentally human.

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BlipCut, an emerging player in AI-driven media technology, has launched the BlipCut AI Voice Generator, a cutting-edge solution that enables creators and businesses to instantly transform text into high-quality, natural-sounding voiceovers. Designed for audiobooks, podcasts, e-learning, and global marketing, this new feature democratizes professional-grade voice production at scale.

With a blend of speed, multilingual accuracy, and creative flexibility, BlipCut’s AI voice generator bridges the gap between human expression and machine precision—without the need for studios or professional voice actors.

600+ Voices, Infinite Possibilities

BlipCut’s voice library features over 600 realistic AI voices, covering an array of tones and styles—from conversational and commercial to narrative, robotic, horror, and ASMR. Each voice is fine-tuned to replicate human cadence and emotion, offering creators full control over how their content sounds.

Whether producing an audiobook in English or a brand campaign in Japanese, users can create authentic, audience-ready audio that resonates across cultures and platforms.

Speak Globally: 40+ Languages and Accents

In an increasingly multilingual world, BlipCut’s voice generator stands out with support for more than 40 languages and regional accents. Beyond major languages like English, Spanish, French, and Mandarin, it also includes regional favorites such as Hindi, Tamil, Turkish, and Filipino—making it ideal for brands expanding into emerging markets.

This global range ensures consistency in messaging while maintaining the unique tone and rhythm of each language.

Beyond Basic Text-to-Speech

BlipCut isn’t just another text-to-speech (TTS) tool—it’s an intelligent audio creation engine. The platform offers emotion and style controls, allowing users to fine-tune tone, pace, and delivery style. Whether calm and reassuring for a wellness podcast or high-energy for a product launch, BlipCut adapts instantly.

Creators can also generate long-form audio for blogs, scripts, or e-learning courses, maintaining fluid, natural-sounding narration throughout.

Built for Business and Creative Freedom

BlipCut’s AI Voice Generator is designed with commercial use in mind. Every voice is cleared for monetization, making it a go-to tool for marketing agencies, production studios, and content teams managing multilingual campaigns.

The platform also offers major business advantages:

• Instant Voiceovers: Generate audio in seconds—no recording sessions required.

• Cost Efficiency: Eliminate expenses tied to studios and professional talent.

• Scalable Content: Maintain a consistent brand voice across markets.

• Accessibility: Empower global teams to localize and personalize at speed.

Revolutionizing the Future of Voice Creation

BlipCut joins the growing field of AI audio tools competing with the likes of Murf AI, Descript, and ElevenLabs, but with a key differentiator—its balance of creative flexibility, scalability, and commercial readiness.

By turning text into expressive, multilingual audio on demand, BlipCut’s new offering pushes voice technology beyond automation and into true creative enablement. For global brands and creators, it represents a new standard: fast, expressive, and authentically human voice generation at the click of a button.

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Tech Mahindra (NSE: TECHM), a global leader in technology consulting and digital solutions, has signed a licensing agreement with AT&T to use its proprietary Automated Network Testing (ANT) and Open Tool platforms — advanced systems built to streamline network testing and certification across LTE, 5G Non-Standalone (NSA), and 5G Standalone (SA) networks.

By integrating these applications into its telecom suite, Tech Mahindra aims to help Communication Service Providers (CSPs) conduct network health checks, connectivity tests, and debugging faster and more accurately. The ANT platform features a graphical interface, test execution engine, and automated backend that simplify test management and validation — functioning as an orchestrator that connects seamlessly with multiple external traffic generation tools.

“Networks have become the invisible lifeline of our digital society,” said Manish Mangal, President and Head – Americas Communication Business, Tech Mahindra. “In an era of unprecedented technological change, maintaining reliability demands testing at equally unprecedented speed and scale. Integrating these AT&T applications enables us to reimagine network reliability in the AI-native era.”

The Open Tool, another core component of the platform, enables data and voice traffic simulation for certifying and validating mobile packet core networks in both lab and production environments — ensuring end-to-end reliability for telecom providers.

Kelly Marlar, Vice President and Managing Director of AT&T Intellectual Property, added: “This licensing agreement highlights AT&T’s dedication to innovation and the value of our technology development. By collaborating with trusted third parties like Tech Mahindra, we accelerate innovation, create new revenue opportunities, and deliver proven solutions to market faster.”

Under this agreement, Tech Mahindra will offer these AT&T-developed network testing solutions to wireless providers in markets where AT&T does not operate. The move supports Tech Mahindra’s strategy to enhance telecom network performance, scalability, and customer experience globally.

With over 250 telecom clients across 90 countries, Tech Mahindra continues to position itself as a trusted transformation partner driving next-generation connectivity solutions and network engineering excellence.

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Cyera unveiled Access Trail at its flagship DataSecAI25 conference in Dallas, introducing a breakthrough capability that gives organizations complete visibility into every data touchpoint across human and machine identities. The launch comes as new findings from Cyera’s 2025 State of AI Report reveal that while 83% of organizations now use AI daily, only 13% have strong visibility into how it interacts with enterprise data — a growing concern as autonomous agents transform data movement and create new blind spots for security teams.

Access Trail is built to address this challenge head-on. By uniting AI-powered data classification, identity intelligence (human and non-human), access activity, and AI security, Cyera provides the visibility, control, and assurance enterprises need to safely scale AI adoption.

“With AI fundamentally changing how data is created and accessed, security teams need a new level of visibility,” said Guy Gertner, VP of Product at Cyera. “Access Trail delivers that clarity, helping organizations monitor every interaction between data and the humans, systems, and AI accessing it — enabling them to move faster while staying secure and compliant.”

Inside Access Trail: Mapping Every Data Interaction

Access Trail captures billions of access events annually, retaining data for one year to give security teams detailed visibility at scale. Built on Cyera’s AI-native data security platform, it correlates every access action with data sensitivity, ownership, location, and existing controls.

Key capabilities include:

• Automated Compliance Reporting: Generates verifiable audit reports for at least one year, replacing manual reporting and demonstrating control effectiveness.

• Insider Threat Investigation: Correlates access patterns and data sensitivity to detect privilege misuse and risky behavior in near real time.

• AI Data Monitoring: Tracks AI-driven access and transformations to ensure transparency and trust.

• Least Privilege Enforcement: Identifies and remediates excessive permissions with actionable insights.

Currently in Early Access, Access Trail integrates automated remediation — enabling teams to disable access or alert data owners as soon as issues arise.

Expanding the AI Security Platform

Building on the introduction of AI Guardian in August, Cyera announced new enhancements across its AI security portfolio:

• AI Security Posture Management (AI-SPM) — now in Early Access, enables discovery, inventory, and risk mapping of all AI assets across deployments.

• AI Protect — now Generally Available, secures Microsoft 365 and public apps by automatically detecting and blocking risky actions such as non-compliant prompts or unauthorized agent behaviors.

Together, these solutions give organizations unified visibility across all AI assets and data interactions.

Cy: The GenAI Assistant for Data Security Teams

Cyera also introduced Cy, a GenAI-powered assistant (in private beta) that allows users to query data in natural language. From generating data retention reports to surfacing top risk reduction opportunities, Cy simplifies complex analysis, providing instant, shareable intelligence.

Example queries include:

• “Show me the lowest-effort, highest-impact issues I can resolve today.”

• “Generate a data retention report for the current fiscal year.”

• “Which third-party users pose the highest risk to my data?”

Building a Data Security Community

Rounding out its announcements, Cyera introduced the DataSecAI Portal — a new hub for data security, compliance, and AI leaders to collaborate and learn. The portal offers access to Cyera’s AI Security School, Data Security School, and a library of webinars and resources that have already reached over 15,500 professionals worldwide.

With these new capabilities, Cyera continues to redefine how enterprises secure AI ecosystems, bringing clarity to an increasingly opaque data landscape.

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Starburst, the data platform for apps and AI, has joined the Open Semantic Interchange (OSI), a major open-source initiative led by Snowflake and partners across industries. The collaboration seeks to define a universal, vendor-neutral specification for semantic metadata—standardizing how organizations describe, share, and integrate their data for analytics and AI.

Setting a New Standard for AI Data Interoperability

In today’s fragmented data landscape, businesses often struggle to align metrics across dashboards, notebooks, and machine learning models. OSI aims to solve that problem by creating an open, consistent framework that ensures interoperability across data platforms.

Led by Snowflake, the AI Data Cloud company, OSI brings together key players in business intelligence, data governance, data engineering, financial services, and manufacturing. The goal is clear: establish a shared semantic model that enhances data exchange, consistency, and transparency across the enterprise stack.

A Vendor-Neutral Framework for the Data Economy

By joining OSI, Starburst reinforces its mission to deliver an open and unified data experience. “OSI represents the future of data exchange for AI, one built on standards, interoperability, and customer choice,” said Justin Borgman, CEO and Co-Founder of Starburst. “By establishing common standards, we’re enabling organizations to seamlessly maintain business context across platforms and tools.”

The initiative’s vendor-agnostic model lets enterprises move beyond proprietary ecosystems, ensuring they maintain full control over their semantic data definitions. This approach enables accurate, cross-functional analytics and easier data sharing to power AI-driven decision-making.

Collaboration That Builds the AI Foundation

According to Josh Klahr, Director of Analytics Product Management at Snowflake, “Unlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is the critical step in building that bedrock.”

Klahr emphasized that the collaboration with Starburst and other ecosystem partners ensures clarity and consistency across tools—simplifying operations and accelerating AI adoption. The initiative promotes transparency and community involvement to develop a flexible standard capable of evolving with the fast-paced data ecosystem.

Why OSI Matters for the Future of Data and AI

As data complexity grows, organizations need shared definitions and interoperable tools to keep up. OSI’s open-source model reduces friction in data integration and enables developers, analysts, and data scientists to work from a single source of truth.

For enterprises, this means faster access to insights, simplified governance, and a stronger foundation for AI innovation. By promoting collaboration over competition, OSI could become the blueprint for the next era of semantic data infrastructure—one where consistency and openness drive long-term growth.

Starburst’s involvement marks another step toward this vision, advancing the open data movement and helping enterprises build AI-ready architectures that are as transparent as they are powerful.

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