Archive for June, 2025

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Ericsson named a leader in IDC MarketScape: European Enterprise Private 5G Solutions 2025 Vendor Assessment

Posted in Commentary with tags on June 24, 2025 by itnerd

Ericsson today announced its recognition as a Leader in the IDC MarketScape: European Enterprise Private 5G Solutions 2025 Vendor Assessment.

The IDC MarketScape assessment evaluates enterprise private 5G solution providers, focusing on their capabilities and strategic initiatives for delivering robust and scalable connectivity solutions. We believe Ericsson’s recognition reflects its commitment to innovation and excellence in meeting the diverse needs of industries across Europe and globally.

The IDC MarketScape report states: “The creation of a dedicated enterprise unit [in Ericsson] reflects a major strategic shift. This unit focuses specifically on private network solutions, enterprise mobility, and vertical-specific use cases, demonstrating Ericsson’s ambition to compete not only as a network vendor, but as a solution provider for digital enterprise infrastructure.”

Ericsson’s strategic transformation and creation of its enterprise unit is supported and bolstered by its professional services and streamlined partner ecosystem. This approach enables scalable enterprise deployments and seamless integration with broader digital transformation initiatives, making Ericsson a trusted partner for industries such as manufacturing, mining, ports, airports, and energy.

Full sourcing – IDC MarketScape: European Enterprise Private 5G Solutions 2025 Vendor Assessment, #EUR253555324, 20 JUN 2025

For more information on Ericsson’s Enterprise Private 5G solutions, please visit https://www.ericsson.com/en/portfolio/enterprise-wireless-solutions.

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CData Expands Partnership With SAP

Posted in Commentary with tags on June 24, 2025 by itnerd

 CData Software today announced an expansion of its partnership with SAP focused on SAP Business Data Cloud–a  fully managed SaaS solution that unifies and governs all SAP data and seamlessly connects with third-party data. The collaboration aims to help customers connect to the data they care about most, by providing seamless, real-time access to the external data sources that modern enterprises depend on–without requiring data replication or custom code. 

Enabling Immediate, Self-Service Data Access

CData’s embeddable connectors provide direct, enterprise-grade integration to critical third-party platforms. Through the partnership, customers can access data, whether stored in cloud services, on-prem databases, or productivity tools, through a consistent, SQL-based interface.

By embedding CData connectors into SAP Business Data Cloud, SAP can provide its customers with access to non-SAP data, and improve their time-to-insight across AI, analytics, and operational workloads.

Driving the Shift Toward Open, AI-Ready Data

CData’s connector infrastructure helps ensure that every integration point meets the speed, security, and scale demands of AI-driven environments.

The expanded partnership comes at a time of significant growth for CData’s Embedded business, which has seen increased demand from software providers looking to offer connectivity to a growing variety of data sources. This momentum is fueled by the rising need for AI-ready data and the pressure on software providers to deliver immediate, self-service access to the data sources their users prioritize.

CData’s market leadership was recently validated by its inclusion in the 2024 Gartner Magic Quadrant for Data Integration Tools. This recognition reflects the differentiated business outcomes CData delivers to customers through its comprehensive connectivity solutions and integration capabilities.

This announcement follows CData’s strategic growth funding of approximately $350 million led by Warburg Pincus, with participation from Accel, announced in June 2024. The investment has allowed CData to accelerate its mission of simplifying data connectivity for enterprises, users, and applications through continued investments in operations, product development, and go-to-market strategy.

For more information about CData’s embedded connectivity solutions, visit www.cdata.com/embedded.

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a16z-backed Scribenote launches free veterinary AI scribe, as adoption surges across practices

Posted in Commentary with tags on June 24, 2025 by itnerd

Veterinarians typically spend hours after appointments writing medical records, often working late into the evening to complete documentation. It’s a broken system that contributes to widespread burnout across the profession. Today, Scribenote – the company that pioneered the AI-powered scribe built specifically for veterinarians – is flipping the economics of veterinary software by launching a Free Plan, a move that could fundamentally alter how veterinary clinics across North America operate.

The announcement comes as Scribenote experiences significant growth following its $8.2M funding round from Andreessen Horowitz in September 2024. The platform turns veterinarians’ words into structured SOAP notes in seconds, eliminating hours of post-appointment documentation. This free tier launch represents the next phase in the company’s mission to make these benefits accessible to all veterinary practices, building on its strategic price reduction in January. 

The Free Tier includes everything a veterinary practice needs: unlimited AI-generated medical records using Scribenote’s default templates, full team collaboration capabilities through Teams Mode, and access to self-serve help documentation and AI-powered chat support. Premium features like custom Adaptive Templates, Client Summaries, Multilingual Mode, AI Writing Assistant, and human support from Scribenote’s Customer Delight team remain part of Scribenote Pro. New signups automatically receive a 2-week free trial of the Pro plan.

The timing is strategic. The veterinary industry faces a well-documented staffing crisis, with burnout and work-life balance cited as primary concerns. Traditional practice management systems, built decades ago and barely updated since, compound the problem by requiring extensive manual data entry. Meanwhile, a wave of AI solutions has emerged, but few offer the veterinary-specific features and accuracy that define purpose-built platforms.

By removing price as a barrier, Scribenote accelerates its path to becoming the standard for veterinary documentation. The move reflects broader changes in AI economics – as models become more efficient and affordable, companies can offer powerful capabilities that were previously cost-prohibitive.

Since its founding in 2019, Scribenote has grown from a solution built for Gallagher’s veterinarian sister to a platform that has tripled its user base in the past year alone – even as 44 competing AI scribes flooded the market. The company’s AI technology records conversations between veterinarians and clients, automatically generating accurate medical records in minutes – replacing hours of manual documentation. This proven scale has enabled Scribenote to recently complete the largest enterprise rollout of AI scribing software in veterinary medicine.

Looking ahead, Scribenote is slated to release a second product this fall to create even more value for veterinary clinics, the details of which are currently under wraps. In the meantime, the company sees the launch of its free tier today as a catalyst for industry-wide adoption of AI-assisted documentation – helping veterinarians spend less time typing and more time with their patients.

Veterinary professionals can sign up for free access immediately at scribenote.com.

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SuperDial raises $15M to automate healthcare’s endless admin phone calls

Posted in Commentary with tags on June 24, 2025 by itnerd

As AI agents reshape work across industries, SuperDial is targeting one of healthcare’s most expensive and invisible burdens: administrative phone calls. Today, the company announced $15 million in new funding to scale its voice AI platform, which automates high-friction insurance calls that cost provider organizations and billing companies billions of dollars every year.

The debt and equity series A round was led by SignalFire, with participation from Slow Ventures, BoxGroup, and Scrub Capital. It includes $3 million in venture debt for SuperDial to invest in R&D and go-to-market initiatives. In total, the company has now raised over $20 million in funding. This also marks one of the first investments from SignalFire’s new $1 billion fund focused on applied AI.

SuperDial builds AI agents that handle outbound phone calls from providers and billing companies to insurers – navigating phone trees, waiting on hold, and conducting live conversations with payer reps. These AI agents support tasks like benefits verification, prior authorization, claims follow-up, and credentialing. When a call can’t be completed by an AI agent, SuperDial’s human call center team steps in, ensuring reliable outcomes while continually improving the AI.

The platform integrates with EHRs and other systems of record to automate documentation, including writing back data gathered from calls, such as claims status updates. Customers rely on SuperDial not just to cut costs, but to unlock capacity across their revenue operations teams. Customers have reported up to 3x cost savings per call and 4x productivity gains for their existing billing teams.

SuperDial was founded by Sam Schwager and Harrison Caruthers, who met at Stanford while studying computer science. After building a healthcare billing company that spent thousands of hours on repetitive calls to payers, they saw the opportunity to automate the problem. What started as an internal tool quickly grew into a standalone solution.

Since launching at the end of 2023, the company has quickly scaled to seven figures in revenue and tens of thousands of calls per week. Earlier this year, SuperDial acquired MajorBoost, a voice AI company specialized in navigating complex phone trees and insurer workflows. The acquisition deepened SuperDial’s technical team and further cemented its leadership in healthcare-specific call automation.

SuperDial’s growth comes as healthcare organizations seek to cut admin costs without expanding headcount. The $150B U.S. RCM market still relies on manual phone calls for basic tasks – calls that can take over an hour and pull staff away from higher-impact work.

SuperDial’s customers include RCM companies and large provider organizations – including DSOs and MSOs – that manage billing in-house. Their customers rely on SuperDial to improve financial performance, reduce burnout, and unlock their teams’ capacity to focus on higher-value work. At West Coast Dental, SuperDial now handles over 10,000 calls per month to check claim statuses, a process that previously left nearly 70,000 claims in backlog and would have required five new hires to process. With SuperDial, the team has significantly reduced AR days and gained trustworthy, up-to-date visibility into claims.

Looking ahead, SuperDial will deepen its EHR integrations, expand to new administrative workflows, and continue training its agents using real-world call data. Although healthcare never built the APIs to enable clean, system-to-system communication, SuperDial is building the next best thing: a network of AI agents that can navigate fragmented infrastructure on behalf of the organizations that rely on it. SuperDial believes the future of healthcare coordination will be agent-powered – where payers, providers, pharmacies, labs, and other healthcare organizations can seamlessly communicate with one another, AI-to-AI. And SuperDial will power that future.

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Salesforce Announces Agentforce 3

Posted in Commentary with tags on June 24, 2025 by itnerd

Salesforce’s Agentforce 3 is a major upgrade to its digital labour platform that gives companies the visibility and control to scale AI agents without compromise.

Agentforce 3 | New Innovations:

  • Optimized observability with a New Agentforce Command Center that provides a complete observability solution for optimizing AI agents, enabling leaders to manage, track, and scale how AI agent activity enhances human productivity. 
  • Seamless agent interoperability with built-in support for open standards like Model Context Protocol (MCP), and through the expanded AgentExchange, customers can now access plug-and-play services from over 20 partners, including Box, PayPal and WRITER. 
  • Enhanced secure, enterprise-ready performance for 100+ new industry-specific AI actions and support for natively-hosted LLMs such as Anthropic. 

With a new Command Center for complete observability, built-in support for Model Context Protocol (MCP) for plug-and-play interoperability, and over 100 new prebuilt industry actions to speed time to value, Agentforce 3 helps companies scale what works, fix what doesn’t, and unlock the full potential of agentic AI — with clarity, control, and speed.

Why it Matters: AI agent adoption is surging. According to a soon-to-be-released Slack Workflow Index, AI agent usage is up 233% in six months, and over that same period, 8,000 customers have signed up to deploy Agentforce. But until now, agent platforms have lacked the tooling, governance, and observability needed to scale enterprise-wide. Agentforce 3 closes this gap — delivering the complete visibility, secure tool integration, and enterprise-grade controls organizations need to make agent velocity their competitive advantage.

At the same time, New Salesforce research ‘A Pulse on Agentic AI in Canada‘, shows Canadians are frustrated with their current customer service experience 

  • Top frustrations include unhelpful/non-existent self-service (59%) 
  • Too many transfers across departments/people (55%)
  • Spending too much time getting what they need (45%)

Canadians Are Hopeful AI agents Can Help | More than 1 in 3 Canadians are willing to interact with an AI agent if it reduces hold times and eliminates having to wait for a customer service representative – which signals that Canadians value quick fixes, convenience, and efficiency.

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AI at Work: New Global Study Links AI to Greater Happiness

Posted in Commentary with tags on June 24, 2025 by itnerd

Jabra today released the results of new research exploring whether AI can do more than just improve efficiency. This global study conducted in partnership with The Happiness Research Institute examines the connection of GenAI with wellbeing at work, and in everyday life. The data shows that while much of the conversation about AI has centered on efficiency, the real opportunity may lie in something far more human: happiness.

The study, Work and Wellbeing in the Age of AI, surveyed over 3,700 knowledge workers1 across 11 countries and provides a first-of-its-kind look at how the growing use of AI tools is influencing job satisfaction, stress levels and life happiness.

The link between AI and wellbeing
The research reveals a clear correlation between frequent AI use and elevated job satisfaction. Workers who use AI daily report being 34% more satisfied with their roles compared to those who do not. They report stronger goal achievement (78% of frequent AI users vs. 63% of infrequent AI users) and more opportunities for advancement (70% of frequent AI users vs. 38% of infrequent AI users) than those who use AI just once a week or less.

Similarly, compared with workers who don’t use AI regularly, frequent AI-users are more optimistic about their future job satisfaction (47% vs. 27%), and more confident that their work will remain enjoyable (44% vs. 23%) and fulfilling (45% vs. 24%). In conclusion, individuals using AI frequently are significantly more likely to experience a stronger sense of purpose and feel optimistic about the general future of work.

Why workplace wellbeing matters
The findings indicate that workplace wellbeing is closely linked to broader life satisfaction. Employees who are happy at work are 4.5 times more likely to report being satisfied with life overall. Two-thirds of those who report high job satisfaction also describe themselves as happy in their personal lives.

How we use AI also linked to stress
While the overall sentiment around AI is positive, the study notes, paradoxically, that frequent AI users also report 20% higher levels of stress than infrequent users. This could be driven by the pressure to master new tools, craft the “right” prompts, and continuously adapt to evolving systems. Some of this strain may also come from the added mental load of reviewing and interpreting AI-generated outputs. Workers not only have to use these tools but also stay vigilant, double-checking results and making judgment calls more frequently.

However, all stress is not equal. Workers who report slightly elevated stress levels (those who feel stretched but not overwhelmed) report higher purpose, greater happiness, and stronger satisfaction at work than those with moderate or neutral stress levels. In these cases, stress may be a proxy for engagement: a sign that workers are invested, motivated, and challenged in ways that feel meaningful.

Big opportunity in AI deployment
Despite the hype around AI, the majority of workers are still not using it regularly. In fact, nearly one-third of high-skilled professionals have never used AI at work. Among those who do, flexibility appears to be a defining factor. Workers are engaging with AI across a wide variety of inputs, from typing to using voice prompts, and using it for diverse tasks in multiple environments. This suggests a critical moment for businesses: AI has the potential to both support and detract from wellbeing. What organizations choose to do now will shape how successfully their workforce can adapt and thrive in the future.

This study signals a new frontier for businesses navigating the integration of AI. Rather than focusing solely on efficiency, Jabra and The Happiness Research Institute suggest that the emotional experience of work must become a design priority. As AI becomes a regular part of the workplace, there is growing potential to build environments that foster both productivity and wellbeing.

Download the full report at www.jabra.com/happinessresearch

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SIOS Technology Announces Strategic Partnership with FCS InfoTech 

Posted in Commentary with tags on June 24, 2025 by itnerd

SIOS Technology Corp. today announced a strategic partnership with FCS InfoTech, a rapidly growing IT solutions and services company based in India. The alliance is designed to empower enterprises across India and the GCC region, including Oman, with robust, cost-effective high availability and disaster recovery capabilities for critical applications.

With an extensive customer base and proven expertise in implementing enterprise IT solutions, FCS InfoTech will serve as a key channel and implementation partner for SIOS LifeKeeper and SIOS DataKeeper. These technologies provide seamless HA and DR protection for SAP, Oracle, SQL Server, and other critical workloads across cloud, hybrid, and on-premises environments.

The SIOS HA/DR software enables enterprises to:

  • Protect critical applications with proven clustering and replication technologies
  • Avoid unnecessary investments in costly SAN hardware or expensive application editions
  • Achieve SLAs for uptime and disaster recovery with minimal operational complexity
  • Benefit from local support and implementation from FCS’s certified experts

Together, SIOS Technology and FCS InfoTech are uniquely positioned to serve the growing demand for IT resiliency in a wide range of industries including finance, manufacturing, government, and energy across India and the Gulf Cooperation Council region.

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Cobalt Research Reveals Critical Readiness Gap as Security Teams Fall Behind GenAI Risks

Posted in Commentary with tags on June 24, 2025 by itnerd

 Cobalt today announced the release of its State of LLM Security Report 2025. This new research reveals a widening readiness gap in enterprise security as the rapid adoption of generative AI (genAI) outpaces defenders’ ability to secure it. A staggering 36% of security leaders and practitioners admit that genAI is moving faster than their teams can manage, a sobering reality as organizations continue to embed AI deep into core business operations.

Despite growing concern, many are calling for a timeout: 48% of respondents believe a “strategic pause” is needed to recalibrate defenses against genAI-driven threats. But that pause isn’t coming.

Key findings from the report include:

  • 72% of respondents cite genAI-related attacks as their top IT risk, but 33% are still not conducting regular security assessments, including penetration testing, for their LLM deployments.
  • 50% of respondents want more transparency from software suppliers about how they detect and prevent vulnerabilities, signaling a growing trust gap in the AI supply chain.
  • Security leaders (C-suite and VP level) are more concerned about long-term genAI threats like adversarial attacks (76%) versus the 68% of practitioners which expressed the same concern. However when it came to near-term operational risks such as inaccurate outputs, 45% of practitioners expressed concern versus 36% of security leaders.
  • Top concerns among all survey respondents include sensitive information disclosure (46%), model poisoning or theft (42%), and training data leakage (37%), all pointing to an urgent need to protect the integrity of data pipelines.
  • Overall, 69% of serious findings across all pentest categories are resolved but this falls to just  21% of the high-severity vulnerabilities found in LLM pentests. This is a concern given that 32% of LLM pentest findings are serious and is the lowest resolution rate across all test types conducted by Cobalt.

Methodology

The report analyzes two different datasets. The majority of analysis is based on data collected during Cobalt pentests. This is supplemented by insights collected via a survey by a third-party research firm, Emerald Research. All penetration testing data analyzed in this report was collected through Cobalt pentests. This spans more than 2,700 organizations. Metadata from these pentests was exported from the Cobalt Offensive Security Platform, sanitized to remove client-identifying and other sensitive details, and provided to Cyentia Institute for independent analysis. 

Additional Resources:

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Foxit Launches AI-Powered Research Agent to Transform How Users Analyze Complex Documents

Posted in Commentary with tags on June 24, 2025 by itnerd

Foxit, a leading provider of innovative PDF and eSignature products and services, helping knowledge workers to increase their productivity and do more with documents, today announced the launch of its AI-Powered Research Agent, an intelligent tool designed to help users quickly understand and extract insights from complex research documents like academic papers, clinical trial reports, or usability studies.

Foxit’s new AI-Powered Research Agent helps channel partners and end customers do what previously took hours, if not days, in just minutes: extract meaningful, structured insights from dense, complex research documents. Whether it’s academic papers, clinical trial reports, white papers, or usability studies, these types of documents are typically filled with technical language, inconsistent formatting, and lengthy sections that require time, expertise, and focus to fully understand. The Research Agent solves this pain point by using AI to automatically break down each document into five clearly defined sections:

  1. Overview – A summary of the document’s purpose and scope
  2. Research Methods – How the study was conducted
  3. Research Results – The key findings
  4. Conclusions – What the results mean
  5. Glossary – Definitions of technical terms

The Research Agent is part of a growing suite of AI features available at ai.foxit.com, which now also includes:

  • Document Translation – Instantly translate full documents into multiple languages
  • Read Aloud – Hear your documents read aloud for easier accessibility and review
  • Web Search – Enrich responses with real-time data from the web
  • Chat History – Organize and access past conversations in a refreshed left-side panel
  • Temporary Chat – Ask questions without saving the conversation history
  • Document View – View the uploaded document(s) side-by-side while chatting

Foxit’s AI-Powered Research Agent and expanding toolset are the latest example of the company’s commitment to creating intelligent, user-centric tools that enhance productivity and eliminate friction in everyday workflows. Explore these enhancements today at ai.foxit.com and discover how AI can help everyone work smarter with research-heavy documents.

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Datadobi Launches StorageMAP 7.3, Enabling Smarter Data Automation, Governance, and Compliant S3 Migration

Posted in Commentary with tags on June 24, 2025 by itnerd

Datadobi has today launched the latest version of StorageMAP, its enterprise heterogeneous unstructured data management solution. Delivering new capabilities to orchestrate and automate data management tasks across file and object storage, StorageMAP 7.3 enables organizations to create policy-driven workflows, act on data more precisely, and migrate between S3-compatible platforms while maintaining compliance.

Workflow automation

StorageMAP 7.3 introduces policy-driven workflows that allow administrators to define tasks executed by its workflow engine in response to specific triggers, such as a time schedule. A “dry run” feature facilitates reviewing the scope of a policy before full execution.

These new workflows support a wide range of use cases, including periodic automated archival, creating data pipelines to feed GenAI applications, identifying and relocating non-business-related data to a quarantine area, and more. Once policies are published, StorageMAP runs the workflows on schedule without requiring manual supervision.

Granular deletion and targeted data control

In addition, StorageMAP 7.3 adds support for granular file-level deletes. Administrators can identify files that match specific criteria and save them as input to a targeted delete job, which StorageMAP will execute. Each delete job generates a report that documents the job’s details and outcome.

This functionality addresses situations where a coarse-grained directory-level deletion is not possible due to the presence of both relevant and disposable data. By enabling precise file selection, StorageMAP ensures that administrators can apply accurate and effective deletion policies.

Object migration enhancements

StorageMAP 7.3 also enhances its core object migration functionality by supporting the migration of locked objects between S3-compatible storage systems. This allows compliant data stored in a Write Once Read Many (WORM) format to be relocated across different vendor platforms while retaining its retention date and legal holds.

To support cost and performance objectives, the solution includes the ability to select the S3 storage class during object migration or replication. By specifying the desired storage class at the time of the job, organizations can avoid unnecessary post-migration lifecycle policies and ensure data is written directly to the appropriate tier.

Customers dealing with increasingly complex data landscapes require solutions that enable them to stay in control without incurring additional operational overhead. StorageMAP 7.3 offers a practical way to address these important challenges by reducing the time teams spend on routine tasks and helping them move critical data without disrupting compliance or performance.

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