SuccessKPI, a leader in Generative AI-powered Workforce Engagement Management (WEM), has introduced its Last-Mile Connectivity solution — a major leap toward eliminating the hidden performance issues that undermine contact center efficiency.

As hybrid and remote work continue to define modern customer service operations, the ability to monitor and optimize agent performance across devices and networks has become critical. SuccessKPI’s latest offering directly addresses that challenge, providing real-time visibility into the agent’s desktop, network, headset, and call environment — ensuring a seamless, high-quality experience for both agents and customers.

Tackling the Last-Mile Challenge

“Every customer call depends on what happens at the edge — the agent's network, device, and environment,” said Dave Rennyson, CEO of SuccessKPI. “With our Last-Mile Connectivity solution, operators can uncover the true cause of performance issues, act before customers are impacted, and prevent future disruptions.”

The solution leverages AI-driven analytics to identify and resolve network bottlenecks before they disrupt live calls. Using SuccessKPI’s Playbook Builder™, contact center leaders can set automated responses based on multiple real-time conditions — from packet loss and CPU usage to headset type and browser performance. These insights enable proactive troubleshooting and improve operational resilience.

Unified View for Seamless CX

By consolidating agent performance data into a single dashboard, SuccessKPI empowers managers to maintain continuous oversight and automate corrective actions. Among the solution’s standout capabilities are:

• Real-time streaming of desktop metrics (CPU, memory, OS, and browser).

• Network and device analytics covering Wi-Fi strength, packet loss, headset quality, and audio levels.

• Agent-experience monitoring, including feedback, routing profiles, and queue details.

• Actionable insights and automation, reducing mean-time-to-resolution and improving uptime.

This holistic visibility transforms how contact centers handle performance management, giving operators an accurate, data-rich view of every factor affecting customer interactions.

AI at the Core of Modern CX Operations

SuccessKPI’s Last-Mile Connectivity solution arrives at a pivotal time for contact centers adapting to distributed workforce models. With more agents working remotely, edge-related performance issues have become harder to diagnose — often leading to dropped calls, lagging systems, and frustrated customers.

By combining Generative AI intelligence with end-to-end network transparency, SuccessKPI delivers a proactive layer of control previously missing in the contact center ecosystem. The result: faster problem resolution, empowered agents, and elevated customer experiences.

As Rennyson emphasized, “That level of clarity and action is critical for modern CX operations.”

With its latest launch, SuccessKPI reinforces its position as a trailblazer in AI-driven contact center optimization, giving enterprises the tools to redefine performance standards in an era where every second — and every connection — matters.

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MikMak, the global eCommerce enablement and analytics leader, is rewriting the future of digital commerce with MikMak 3.0—a major upgrade featuring MCP-powered and AI-driven enhancements designed to unify human and agent-driven shopping experiences. The launch introduces conversational insights, a first-of-its-kind feature that lets marketers interact with commerce data through natural language queries.

This evolution positions MikMak as the single source of truth for how people and intelligent systems shop across channels—an increasingly vital capability as brands face a dual audience of human consumers and AI agents shaping purchase decisions.

A New Standard for Intelligent, Agentic Commerce

At the core of MikMak 3.0 is the Model Context Protocol (MCP), a breakthrough framework that allows AI systems and commerce platforms to communicate using a shared language. By standardizing this interaction, MikMak gives brands direct access to agentic commerce—where AI doesn’t just analyze data but acts on it in real time.

MikMak’s enterprise-grade Commerce and Insights APIs already provide over 8,000 retailers with granular data on shopper behavior, pricing, and product availability. MCP turns that infrastructure into an AI-ready foundation, enabling faster optimization, safe experimentation, and full data governance. Brands can now innovate confidently, accelerate attribution, and link every digital touchpoint to measurable business outcomes.

“Today’s most successful brands are the ones turning data into action at the speed of their consumers,” said Rachel Tipograph, Founder and CEO of MikMak. “With these advancements, MikMak transforms commerce data into instant intelligence, helping brands connect insights directly to sales outcomes. This is the next chapter of profitable growth.”

Conversational Insights: Turning Data into Dialogue

Modern marketers drown in dashboards but starve for insight. MikMak’s new conversational insights change that by allowing users to query performance data naturally—asking questions like, “What’s driving growth?” or “Where should we invest next quarter?”

The system instantly generates contextual, narrative-based responses, blending visual analytics with actionable recommendations. This dramatically reduces time-to-insight and gives marketers a faster, clearer path from data to decision.

Powered by over 11 years of commerce data, conversational insights turn MikMak from an analytics platform into a real-time growth partner for global brands.

Smarter Commerce, Seamless Experiences

MikMak 3.0 also introduces upgrades to its Commerce Bundles and Creative MAX Templates, both designed to streamline the path from inspiration to purchase.

• Commerce Bundles: Enable one-click, multi-product shopping experiences that reflect real-world buying behavior, boosting average order value and retailer collaboration.

• Creative MAX Templates: Merge immersive brand storytelling with instant “Where to Buy” overlays, letting audiences engage and convert directly within media environments.

Building on a Year of Rapid Innovation

In 2025, MikMak expanded its AI-driven ecosystem with the Insights API, Headless Commerce API, and new integrations with Pinterest and AccelPay, solidifying its role as the backbone of omnichannel shoppability.

Looking ahead to 2026, MikMak plans to extend its AI-powered operating system to learn from every commerce interaction, strengthen omnichannel attribution, and expand global data partnerships—bridging the gap between marketing influence and measurable sales impact.

With MikMak 3.0, the company isn’t just enhancing eCommerce analytics—it’s redefining the future of intelligent commerce, where AI and human insight converge to drive sustainable, profitable growth.

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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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