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Communication AI, vCons, CPaaS, CCaaS, UCaaS, Mobility, Security. Reporting on how the world communicates.

  1. 1 day ago ·  Video

    Deepgram on Voice AI Infrastructure and the Road to Production-Grade Agents, Podcast

    By Doug Green “Voice is its own modality.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Anoop Dawar, Chief Strategy Officer at Deepgram, about the infrastructure behind the voice AI economy and why production-grade voice agents require more than a strong demo. Dawar says Deepgram is a real-time AI infrastructure company focused on helping machines understand human speech. The company’s roots are in machine learning and end-to-end deep learning, applied to one of the hardest problems in AI: understanding hundreds of languages, thousands of dialects, accents, intonation, vocabulary changes and real-world speech patterns. For decades, Dawar says, humans have learned to speak machine through keyboards, programming languages, interfaces and apps. Deepgram’s mission is to reverse that pattern by helping machines learn to understand people. The conversation explores why voice AI is different from text-based AI. Voice agents must understand not only words, but tone, emotion, background noise, accents, timing and conversational context. A word such as “hello” may carry different meaning depending on how it is spoken. Dawar says it is relatively easy to build a voice AI demo in a controlled environment. The real challenge is making voice agents work in production. A restaurant drive-through, for example, may include freeway noise, trucks, music, children talking in the background and legacy audio equipment. In that environment, real-time voice AI has to understand the speaker immediately and respond correctly, with no opportunity to edit or revise the interaction after the fact. “Real-time voice is unforgiving,” Dawar says. “There is no do-over.” The podcast also looks at AI drift and the difference between deterministic software and probabilistic AI systems. Traditional systems produce predictable results. Voice AI systems, by contrast, operate in a world where language, customer behavior, environments and models can change. That means production systems must be monitored, tested and improved continuously. For MSPs, channel partners, contact center providers, CPaaS providers and customer experience platforms, Dawar says voice AI should be understood as infrastructure, not simply as an application. Real-time voice agents depend on network performance, audio quality, data center infrastructure, latency, packet loss, jitter, speech recognition, language models and text-to-speech working together. Looking ahead, Dawar sees a world of 24/7 AI agents working across voice, text, image and video. Voice will be a major part of that future, but it requires dedicated attention and infrastructure because it carries nuance that text alone cannot capture. For Deepgram, the goal is to help developers, enterprises and partners build production-grade voice agents that work reliably in the real world, not just in the lab. Learn more at deepgram.com

  2. 1 day ago ·  Video

    Rubrik on Cyber Resilience in Healthcare, Podcast

    By Doug Green “When prevention has failed, what are you going to do?” In this episode of the Technology Reseller News podcast, Doug Green speaks with Josh Howell, Healthcare CTO at Rubrik, about Rubrik’s recognition as an American Hospital Association Preferred Cybersecurity Provider and the growing need for cyber resilience in healthcare. Howell says traditional backup systems were built for IT recovery, not modern ransomware attacks. Rubrik is designed for immutable data protection, helping healthcare organizations recover even if attackers gain high-level access inside the network. The podcast explores why cybersecurity is now a patient care issue. When hospital systems go offline, care continues, but delays in lab results, diagnostics, appointments and treatment can create real clinical risk. AI is also changing the threat landscape. Howell says defenders are using AI to classify and respond to threats, while attackers are using AI to move faster and exploit vulnerabilities more effectively. The discussion also covers Rubrik Agent Cloud, which helps organizations place guardrails around AI agents and recover quickly if agentic AI causes damage or exposes sensitive data. Howell says Rubrik focuses on “day two” resilience: what happens after prevention fails. For healthcare leaders, the message is clear: strong security matters, but hospitals also need a recovery strategy that can protect operations and patient care when attacks get through. Learn more at rubrik.com

    14 min

  3. 1 day ago ·  Video

    Voix House on AI Rollouts and Change Management, Podcast

    By Doug Green “Communication in the absence of details creates anxiety.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Harold Hardaway of Voix House about what leaders often miss when rolling out AI. Hardaway says many organizations treat AI as a tooling decision, when it is really a change management challenge. Giving employees access to AI does not automatically create adoption, competence or business value. Leaders need to explain what is changing, how teams should use the technology and what success looks like. The conversation also explores why AI adoption should be local and team-specific. Instead of trying to transform everything at once, organizations should identify specific workflows, test AI in practical ways, and build from what works. Hardaway says AI can help draft content, messages and plans, but drafting is rarely the real bottleneck. The harder work is leadership alignment. “Draft was never the bottleneck. Alignment was,” Hardaway says. The podcast also looks at customer experience. AI can support routine updates and proactive communication, but in moments of consequence, customers often need a human in the loop. For MSPs, service providers and enterprise leaders, the message is clear: successful AI rollout requires communication, governance, leadership alignment and room for teams to learn. Learn more at voixhouse.com

  4. 1 day ago ·  Video

    SoloTruth on Asset Relationship Management for Enterprises, Podcast

    By Doug Green “We want to do for assets what CRM did for customer records.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Tim Harris, CEO of SoloTruth, about the company’s new asset relationship management platform for enterprises and the opportunity it creates for asset-intensive organizations, MSPs and channel partners. Harris says SoloTruth bridges the gap between the physical assets a company owns and the financial system of record, typically the ERP system. The goal is to make sure that what a company actually owns is accurately reflected in its books. SoloTruth calls this asset relationship management, or ARM. Just as CRM evolved from a system for tracking contacts into a broader platform for managing customer relationships and the sales cycle, SoloTruth aims to provide a 360-degree view of enterprise assets. The podcast explores a common problem in asset-heavy businesses: asset drift. A company may purchase a forklift, server, laptop, piece of telecom equipment or other capital asset, but over time that asset may be moved, misplaced, retired or replaced without the financial system being updated. Harris says this creates “ghost assets,” which no longer exist but remain on the books, and “zombie assets,” which exist in the field but are not reflected in the ERP. For companies with large fixed-asset bases, the financial implications can be significant. Harris notes that for many manufacturing, logistics, healthcare, telecom and banking organizations, fixed assets can represent one of the largest categories on the balance sheet. Yet many companies only get an accurate view of those assets during periodic audits. SoloTruth combines IoT-derived location data, including RFID and GPS technology, with human inspection data captured through a mobile app. That combination gives companies better visibility into both where an asset is located and what condition it is in. Harris says those two factors are critical to useful life, depreciation schedules, valuation, maintenance planning and proof of existence. The company recently won an award for its approach, which combines IoT-based location tracking with human condition capture. Harris says that combination can help organizations keep their books in order continuously, rather than waiting for an annual audit or emergency review tied to financing, collateral, or M&A activity. Harris says SoloTruth typically looks at payback period as the key customer metric. For companies with $100 million in fixed assets, he says the platform can generate roughly $1.5 million to $4 million per year in cost savings, with a payback period often below six months. The podcast also looks at the channel opportunity. Harris says MSPs and channel partners already have relationships with customers and are often involved in placing assets into enterprise environments. SoloTruth can give partners a way to extend that relationship by helping customers track, inspect and manage assets after deployment. For enterprises, the message is clear: better asset intelligence can reduce unnecessary capital spending, improve maintenance planning, support financing and M&A activity, and help ensure that the financial system reflects the real operating environment. Learn more at solotruth.com

  5. 3 days ago ·  Video

    “Conversations Are Becoming the Operating System of the Enterprise,” 8×8 Podcast

    “Conversations Are Becoming the Operating System of the Enterprise,” 8×8 Podcast, “The real shift is that conversations are no longer just moments in time,” says says Dhwani Soni, Global Vice President of Product Management at 8×8. “They are where work is coordinated, decisions are made, risks are surfaced and customer relationships are understood.” @Doug Green 8×8 is moving beyond communications as simple connectivity and into a broader role for communications as a source of action, intelligence and accountability. In this podcast, we look at two recent 8×8 announcements posted on Technology Reseller News: 8×8 Resolve, a mobile-first critical communications and incident management solution for deskless and distributed workers, and 8×8 Pulse, a conversational intelligence solution that turns business conversations into insight. “The real shift is that conversations are no longer just moments in time,” says Dhwani Soni, Global Vice President of Product Management at 8×8. “They are where work is coordinated, decisions are made, risks are surfaced and customer relationships are understood.” 8×8 Resolve addresses a practical enterprise problem: when something goes wrong, the people most affected may be the hardest to reach. Frontline employees in healthcare, retail, logistics, utilities, manufacturing and field services often do not sit at a desk, may not have corporate email, and may not be connected to the same tools used by office-based teams. As outlined in the TR-posted announcement on 8×8 Resolve, the solution reaches workers through channels they actually use, including SMS, voice, WhatsApp and the 8×8 Work mobile app. Resolve can escalate until acknowledgment is confirmed and produce an exportable audit trail showing who was notified, when they responded and how the incident was handled. The conversation also explores 8×8 Pulse. Businesses already generate valuable intelligence in calls, meetings, chats, emails, support tickets and customer conversations. Too often, that information remains scattered across recordings, transcripts, inboxes and systems of record. “With Pulse, the conversation itself becomes a source of business memory,” says Soni. “That changes how leaders, account teams, customer success teams and frontline managers understand what is actually happening across the organization.” As described in the TR-posted announcement on 8×8 Pulse, the product is built around the idea that business decisions increasingly happen inside conversations — and that those conversations can become a source of insight, context and action. Taken together, Resolve and Pulse point to a larger platform strategy. Communications are becoming the place where organizations detect problems, coordinate responses, capture commitments, understand customers, manage risk and create a record of what happened. For service providers, MSPs, channel partners and enterprise IT leaders, the message is clear: the next wave of cloud communications value will come from helping customers act on communications data, not simply move it from one endpoint to another. 8×8 Resolve: https://telecomreseller.com/2026/06/03/8×8-announces-8×8-resolve-a-critical-communications-solution-built-for-the-deskless-workforce/ 8×8 Pulse: https://telecomreseller.com/2026/06/03/8×8-introduces-8×8-pulse-conversational-intelligence-built-for-where-decisions-are-made/ Learn more at www.8×8.com.

    15 min

  6. 6 days ago ·  Video

    Versa Networks on Zero Trust MCP and the Hidden Risk of Agentic AI, Podcast

    By Doug Green “Governance is absolutely necessary. It’s no longer optional.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Rajesh Kari, Senior Director of Products and Solutions at Versa Networks, about the emerging security challenges created as agentic AI moves into live network and security operations. Kari says Versa Networks is a leader in SASE, offering a unified platform that brings together networking, security and operations across enterprise infrastructure. As AI becomes more embedded in operations, Versa is focused on a new zero trust challenge: controlling not only users and devices, but also the hidden AI-driven sub-actions that can touch production systems. Kari explains that agentic AI is different from traditional AI because it can take action on behalf of users. Rather than simply answering a prompt or returning information, an agent may break a task into sub-queries, call APIs, use credentials, access systems and make changes inside the infrastructure. Those hidden sub-queries can create risk if organizations cannot see, validate and govern what the agent is doing. “People build agents. They know what the objective of the agents are,” Kari says. “But under the hood, what the agent actually deploys, which APIs it accesses, and what kinds of authorization and authentication it leverages can be unknown.” The podcast explores how this creates new exposure for enterprises, MSPs and channel partners. If an AI agent gains access to credentials or production systems, organizations need constant verification, validation and governance around each action. Kari says agentic AI can also hallucinate or generate unnecessary sub-queries, creating additional security and operational risk. Versa is addressing this through Versa Verbo and its Zero Trust MCP architecture. Verbo is designed to help network practitioners gain visibility, management and analytics through natural language interactions. Instead of searching through hundreds of alerts or dashboards, operators can ask questions about outages, performance issues, configuration changes, security incidents and branch health. The Zero Trust MCP architecture extends that capability by applying governance and access control to AI-driven actions. Kari says this enables AI models and agents to query Versa infrastructure securely, while maintaining controls around authentication, authorization, APIs and operational workflows. For MSPs and channel partners, Kari sees an important opportunity. Many organizations want to deploy AI quickly but do not have the internal capability to build governance infrastructure around it. Partners that develop practices around policy architecture, deployment, ongoing governance and human-in-the-loop approval can help customers adopt agentic AI more safely. Kari says AI operations copilots are becoming standard in SASE and network platforms. Network teams, infrastructure managers and executives increasingly want to use natural language to understand the health of their infrastructure instead of relying only on dashboards. But as those tools become more powerful, governance becomes the deciding factor in adoption. “If the agent has gained access into certain files or visuals which has violated any particular compliance standards, it becomes the responsibility of the organization to prove it,” Kari says. For Versa, the message is clear: agentic AI can simplify operations and accelerate decision-making, but it must be governed from the beginning. Zero trust principles need to be built into every AI agent connection. Learn more at www.versa-networks.com

  7. 6 days ago ·  Video

    Kentik on Network Intelligence and AI Infrastructure Pressure, Podcast

    By Doug Green “Running a business, running a network, is really about making good decisions. And to make good decisions, you have to base that on good data.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Jezzibell Gillmore, General Manager and Vice President, Service Provider at Kentik, about how AI workloads, rising data volumes and infrastructure complexity are creating new operational challenges for service providers. Gillmore describes Kentik as a network intelligence company that uses NetFlow, SNMP, synthetic testing, streaming telemetry and data enrichment to provide actionable insights for organizations that rely on networks to run their businesses. As networks generate more data than humans can easily interpret, Kentik helps service providers understand what traffic means, where it is coming from, where it is going, and how it affects customers, performance and profitability. The conversation focuses on the growing infrastructure demands associated with AI. Gillmore says the industry is preparing for a significant rise in AI-driven traffic, particularly east-west traffic between servers and data centers. While the full impact has not yet arrived, service providers are already seeing signs of what may be ahead as GPU deployments, data center power demands and high-capacity interconnect requirements continue to grow. Gillmore notes that service providers will face pressure not only from higher traffic volumes, but also from the physical realities of network expansion. Adding capacity is not always as simple as turning up another wavelength. Providers may need to plan new fiber routes, obtain permits, expand conduit capacity and manage the long timelines associated with physical infrastructure. The podcast also explores where service providers are likely to encounter operational blind spots. Gillmore says resiliency is moving from a “good to have” to a mission-critical requirement. At the same time, traditional observability tools were built for an earlier era and may not provide enough visibility into encrypted traffic, hybrid cloud, east-west AI traffic, GPU-to-GPU telemetry and increasingly complex routing environments. For Gillmore, the shift is from passive observability to actionable network intelligence. Traditional tools may show what happened over the last 30 days, but AI-era networks require near real-time insight that can help operators make better decisions immediately. She also points to a growing skills challenge. Many of the engineers who helped build the internet are retiring, while newer engineers may be strong in automation and code but have less deep operational experience. Machine-assisted insight can help bridge that gap by giving teams clearer guidance and better context. For service providers, the message is clear: AI-driven demand will require better visibility, stronger resiliency and more intelligent operations. Gillmore says providers should begin by identifying gaps in their networks and evaluating how network intelligence can improve efficiency, customer experience and business value. Learn more at kentik.com

  8. 18 Jun ·  Video

    Nile on Infrastructure Budgeting in the AI Era, Podcast

    By Doug Green “Infrastructure is increasingly becoming a control point for AI enablement and productivity.” In this episode of the Technology Reseller News podcast, Doug Green speaks with Shashi Kiran, Chief Marketing Officer at Nile, about why infrastructure is moving back to the center of enterprise strategy, budgeting and AI readiness. Kiran says Nile is modernizing enterprise networks with what it describes as the world’s most secure network delivered as a service. The company provides wired and wireless local area networking for mid-size and large enterprises, with security built in and operations managed across the lifecycle. The conversation focuses on a growing reality for enterprises: AI may appear to live in applications, cloud platforms and user devices, but its success depends on the infrastructure underneath. As organizations rethink AI adoption, infrastructure decisions are becoming long-term strategic decisions again. Unlike software, Kiran notes, infrastructure cannot simply be changed overnight. Network decisions often shape cost, security, agility and business performance for years. A poor infrastructure choice can become a drag on the rest of the organization’s technology investment. Kiran says this is driving renewed interest in network as a service. In the modern model, he says, network as a service is not simply a managed provider operating someone else’s technology. Instead, Nile builds, owns and operates the technology, giving customers a single accountable partner across the full value chain. For Nile, the focus is the enterprise edge: campuses, branches, users, devices, IoT and, increasingly, AI agents. Kiran says that part of the network has often been overlooked while much of the industry focused on data centers and cloud. Yet it is also where complexity, operational cost and security exposure are often highest. Nile’s approach is built around simplifying that environment. Kiran describes a clean-slate architecture with wired and wireless connectivity, zero trust principles, identity-based authentication, security built in, and autonomous operations. Nile also backs its service with performance SLAs and financial penalties. Kiran says the results can include lower complexity, faster change management, reduced breach exposure and significant savings. He says customers typically see cost reductions of 30% to 50% at a minimum, along with faster deployment and change cycles. As enterprises plan for the next several years, Kiran says infrastructure will become even more important as organizations work to become more AI-native. The companies that move away from legacy models and adopt more agile infrastructure approaches will be better positioned to support AI, improve productivity, reduce cost and strengthen security. Learn more at nilesecure.com

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Communication AI, vCons, CPaaS, CCaaS, UCaaS, Mobility, Security. Reporting on how the world communicates.

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