Category: Channels

SCOTTSDALE, AZ, UNITED STATES, January 22, 2026 /EINPresswire.com/ — martinwolf, a lower middle market M&A advisor exclusively focused on IT, announced its outlook for 2026. This new annual outlook draws on the diverse perspectives of the martinwolf team, comprised of former owner-operators and subject matter experts who bring firsthand IT industry knowledge and a deep understanding of the market.

“We saw a real pause in the first half of 2025, but dealmaking picked up significantly toward the end of the year, and we expect this higher level of activity to continue in 2026,” said Seth Collins, Managing Partner of martinwolf. “North American IT companies across sectors, including IT Cloud/Tech Enabled Services, IT Supply Chain, and Software/SaaS, are experiencing stronger momentum, so the market is strong. From an M&A perspective, we’re seeing an increasing appetite from firms to put their capital to work, and there are multiple tailwinds that will drive strategics to make acquisitions and grow their service offerings.”

• Overall market stability, lower interest rates and strong financial markets are driving increased activity from buyers, including existing platforms and strategic companies.
• According to martinwolf’s monthly Scoreboard, revenue is expected to grow significantly year-over-year for North American companies in the IT Cloud/Tech-Enabled Services (1.1% to 5.6%), IT Supply Chain (2.7% to 6.1%), and Software/SaaS (2.9% to 14.6%) sectors.
• There is continued movement towards outsourcing IT services as companies remain focused on their own core competencies.
• End users are looking to drive more business through fewer vendors, preferring to work with companies that offer a broader array of services.
• Companies are getting smarter about AI’s application, usage, and impact on M&A deals.

“These dynamics will continue to drive deal flow across the IT M&A landscape in 2026, which is shaping up to be a year of action,” said Alec Buchenic, Vice President at martinwolf. “They create greater flexibility for buyers and sellers so, unlike 2025 where we saw deals close for only select companies, we expect to see a wider variety of assets coming to market this year and closing.”

About martinwolf
martinwolf is a leading M&A advisory firm specializing in IT cloud/tech-enabled services, software/SaaS, and IT supply chain. A trusted partner to IT business owners and buyers, the firm has advised on approximately 300 transactions in more than 20 countries, including eight divisions of Fortune 500 companies. martinwolf brings a strong personal commitment to every client and is relentless in its pursuit of the right outcome. Registered member of FINRA & SIPC. For more information, visit www.martinwolf.com.

Alex Goss
Stanton
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agoss@stantonprm.com
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Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes

SAN JOSE, CA, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Calsoft is advancing the integration of generative AI technologies in software development workflows, addressing persistent challenges of tight deadlines, increasing complexity, and quality maintenance in traditional SDLC methods. The company examined practical automation strategies for coding, testing, and deployment processes during a March 2025 industry session with technology leaders.

𝗤𝘂𝗶𝗰𝗸 𝗩𝗶𝗲𝘄:

– Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes
– Development teams redirect focus from repetitive tasks to complex problem-solving through AI-powered automation
– Case studies demonstrate measurable improvements in release cycles, error reduction, and code quality metrics

The webinar addressed how traditional SDLC methods face challenges with tight deadlines, increasing complexity, and quality maintenance. The discussion explored how generative AI tools can automate repetitive development tasks, potentially reducing developer burnout while maintaining code quality standards.

The March 2025 session featured four technology leaders. Anshul Bhide, Executive Director and AI/ML Practice Head at Calsoft Inc, brought experience from his previous role as India Head at Replit, an AI developer tool startup, along with background in venture capital and consulting. Amit Gogate, Director of Technology at Calsoft Inc, contributed expertise in software architecture, cloud platforms, and AI-driven enterprise solutions. Ryan Villanueva, Founder of Plucky and former IBM leader, shared insights on AI innovation in software development. Sudarshan Kamath, Founder of smallest.ai, presented perspectives on AGI solutions based on his leadership experience at Vakilsearch, Bosch, and Toppr.

The session covered four primary areas: AI integration in SDLC workflows, quantifying impact through metrics such as error reduction and cycle time, addressing implementation challenges including team training and security considerations, and reviewing case studies for practical adoption insights. The content focused on automation of routine tasks, optimization of CI/CD pipelines, and improvement of defect detection through AI-powered testing.

The discussion targeted technology decision-makers including CTOs and CIOs evaluating AI for operational efficiency, software engineers seeking automation solutions, DevOps engineers optimizing infrastructure, and QA leads implementing AI-powered testing frameworks.

A recording of the session is available upon request through Calsoft Inc’s website. The content provides enterprise software development teams with practical frameworks for evaluating and implementing generative AI technologies in their development workflows.

𝗔𝗯𝗼𝘂𝘁 𝗖𝗮𝗹𝘀𝗼𝗳𝘁

Calsoft is a digital and product engineering services company, specializing in AI/ML solutions and enterprise technology implementations. The company provides software architecture, cloud platform development, and AI-driven solutions for enterprise clients. Calsoft focuses on engineering excellence and digital transformation initiatives across technology sectors. For more information, visit: https://www.calsoftinc.com/

Richa Thomas
Calsoft
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Text Messaging and Web Chat in a Unified Team Inbox

SAN JOSE, CA, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Since July of 2025, the team at VirtualPBX has been developing a messaging pilot, building a waitlist of eager participants and engaging them in feedback. That feedback, coupled with the expertise of nearly thirty years in the telecommunications space has resulted in a brand new product: VirtualText unified SMS, MMS, and web chat. This team-focused shared inbox with singular conversation threads per customer, team-based AI agents, beyond-basic integrations, and advanced collaboration exists inside an interface designed to monitor and improve customer satisfaction.

From Web Chat to SMS and Back Again
“I already told you that:” the words that let teams know a customer’s experience is going downhill. Multiple conversation threads and varied applications only exacerbate this problem. With the all new VirtualText, a conversation that begins on web chat seamlessly transitions to SMS when the customer closes their browser. For agents handling conversations in the shared inbox, that context is always present and the single conversation with full history remains linear.

Team-Based AI Agents That Work After Hours or Around the Clock
Perhaps the first AI chat agent that won’t make your customers ask to speak to a real human. Why? Because these AI agents are trained by your playbooks and are assigned to and behave like a member of a team like sales or billing. These AI agents can:
– Work 24/7, after business hours, or only during the hours you define
– Transfer conversations to available human team members
– Generate leads or escalate issues via defined scheduling links

What don’t these AI agents do?
– Make up incorrect information about your company
– Discuss topics outside of their scope
– Ask users to repeat themselves due to a short attention span

Team Collaboration and Sentiment
The design of VirtualText’s collaboration features initially began out of the frustration the VirtualPBX team has had trying web chat tool after web chat tool: lack of transparency, no clear ownership, team members stepping over each other, and ultimately a customer experience that felt lacking because of the tool at hand. Here’s where VirtualText changes the game:
– Conversation Ownership: It’s always clear who owns a conversation and that person is the only one able to reply. No more speaking on top of each other.
– Take Over and Hand Off: When help is needed, conversations can be handed off or taken over with notes that provide context to the next agent.
– Notes: Internal notes that assist your team in delivering great service that only they can see.
– Organized and Accurate Conversation List: Your always up-to-date list of open conversations organized by unassigned, yours, and team conversations.

Team workflow in the shared inbox is one thing, but the VirtualPBX team designed the new VirtualText to constantly check-in on the customer’s sentiment too. With each new reply, our AI sentiment analysis updates the overall customer sentiment right in the conversation sidebar so your team knows when frustration may be setting in or when they’ve got a potential brand advocate on their hands. Beyond just a score, VirtualText has also introduced sentiment-based workflows. These workflows allow managers and team members alike to jump in, better understand both positive and negative trends, and improve their overall company sentiment.

Beyond Basic Integrations
In today’s world of apps and interfaces, integrations are expected. But when it comes to handling varying customer needs, they often fall short of the mark and users are still left jumping tabs to complete work manually. VirtualText introduces a library of integrations that go beyond one-size-fits-all:
– Forward Message to Automation: Your team knows when something needs to happen and this two-click option makes it easy to escalate issues, send review requests, push deals to a CRM, and more.
– SMS API: Perfect for sending appointment reminders and account updates at the exact right time based on your triggers.
– Integrations for Customer Data Syncing: With Stripe, Shopify, and Pipedrive as the initial connectors, your team gets helpful customer context right inside of the conversation.
– Robust Webhooks and API Libraries: Build your own automations based off of a thoughtful and wide-ranging list of triggers and actions.

Get Access to the All-New VirtualText
The all-new VirtualText product completely replaces the previous product by the same name and is now officially available at virtualpbx.com/virtualtext. VirtualPBX will be rolling out this upgrade to existing customers as well, though businesses eager to get started can move to the head of the line by contacting Customer Care.

About VirtualPBX
Founded in July 1997, VirtualPBX delivers premium Business Phone, VirtualText, and Contact Center for our customers, who work in the office, remotely, and everywhere in between. We offer more than just products and services; we make your business better with quality customer care and 24/7 support.

Rachel Anderson
VirtualPBX
+1 888-825-0800
email us here
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Gaggle Launches an AfterHours Service to reduce after-hours stress for district staff while keeping students safe 24/7.

CHICAGO, IL, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Gaggle, the leader in student safety solutions, has introduced an AfterHours service. This new offering is designed to support school districts by handling student safety alerts outside of regular school hours. It helps ensure students have the support they need at night, on weekends, and during school breaks, while giving district staff peace of mind and much-needed rest.

“It’s one more way we’re helping districts protect students without placing more demands on school staff,” said Kevin Eckert, Vice President of Customer Experience at Gaggle. “We listen to what our customers need, and we build solutions that let them breathe easier when they are at school or off the clock.”

With AfterHours, Gaggle’s team steps in when schools are closed and principals and school counselors have wrapped up their work day. The team assesses urgent alerts and takes appropriate action, following district-aligned protocols. When a student appears to be in immediate danger, Gaggle’s trained crisis counselors step-in and contact the parent/guardian to help assess the situation and facilitate appropriate support. School staff are notified the next school day, allowing them to step in with care and continuity.

AfterHours is customizable to meet each district’s needs and can be adjusted over time. By offering an extra layer of care beyond the school day, Gaggle continues to help educators focus on supporting students while maintaining balance and well-being for themselves.

About Gaggle
Since 1999, Gaggle has partnered with school districts to help protect student lives and lifetimes. As the leader in K-12 digital safety, Gaggle provides early warning signals and real-time support to help schools intervene before a crisis. Its suite of proactive safety solutions, including Safety Management, Therapy, ReachOut, Web Filter, and Archive enables educators to identify students in need, respond quickly, and coordinate care for students. Today, Gaggle supports over 1,500 districts and safeguards more than 6 million students nationwide. For more information, visit www.gaggle.net

Heather Gunsallus
Gaggle
+1 617-930-9114
email us here
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New benchmark study finds 76% of organizations are implementing Agentic AI, but many lack the foundations to drive predictable revenue.

PALO ALTO, CA, UNITED STATES, January 22, 2026 /EINPresswire.com/ — RevSure, an enterprise-grade Full Funnel AI platform for B2B go-to-market teams, today announced the release of The 2026 State of Agentic AI in B2B GTM, a new research study created in partnership with Ascend2. The report delivers insights from 306 B2B GTM leaders on agentic AI adoption, key challenges, and the path forward, based on responses from senior Marketing, Sales, and Revenue Operations leaders across the US and UK.

As B2B organizations accelerate AI adoption, the role of AI inside go-to-market is shifting rapidly. Rather than simply analyzing funnel health or surfacing insights, emerging Agentic AI systems are increasingly expected to execute actions across the funnel. This research highlights a turning point: GTM leaders are no longer asking whether AI can understand what’s happening; they are asking whether AI can act on that understanding to improve pipeline quality, velocity, and predictable revenue outcomes.

The study finds that Agentic AI adoption is advancing quickly, with 76% of organizations either deploying or actively implementing it. However, readiness remains uneven. Many teams are adopting AI faster than they are upgrading the systems, integration layers, and governance models required to scale it responsibly and effectively. While 58% of leaders rate their GTM execution as efficient, nearly half cite lead quality and data reliability as primary barriers, signaling that “efficiency” is often driven by manual effort rather than structural cohesion.

Key findings from The 2026 State of Agentic AI in B2B GTM include:

– 76% of organizations are deploying Agentic AI, but many still lack the operational foundations needed to absorb it.
– 58% rate GTM execution as efficient, yet 47% cite lead and data quality as primary barriers.
– 41% have implemented Agentic AI; another 35% are in rollout phases.
– 96% believe AI agents with full-funnel context would significantly improve execution.
– 97% feel confident they can scale AI responsibly.
– 90% believe Agentic AI will be critical to meeting GTM goals within two years.

“GTM teams are reaching a point where execution complexity is outpacing human coordination,” said Deepinder Singh Dhingra, Founder & CEO of RevSure. “This study confirms what we see across the market: Agentic AI is moving from experimentation to adoption at real speed. But the winners won’t just adopt AI first; they’ll build the operational foundations to make it effective: unified data, full-funnel context, and governed autonomy that turns insight into reliable action.”

Deepinder Singh Dhingra recently recorded a video addressing the industry’s shift from tool sprawl to “agent sprawl,” and why RevSure believes full-funnel context and governed orchestration will be essential to scaling Agentic AI successfully.

The report also underscores the growing importance of governance as a competitive advantage. Leaders identified security, accuracy, and integration as the top blockers to scaling Agentic AI, while simultaneously expressing increasing confidence in their ability to scale AI responsibly. As Agentic AI becomes more autonomous, transparency, auditability, and cross-system context are emerging as essential requirements for enterprise GTM organizations looking to accelerate without losing control.

The release of The 2026 State of Agentic AI in B2B GTM reflects RevSure’s commitment to advancing modern revenue execution through full-funnel intelligence, coordinated workflows, and scalable Agentic AI. As organizations shift from siloed automation to outcome-driven orchestration, the study provides GTM leaders with adoption benchmarks and a clear view into what’s needed to convert AI investments into measurable GTM impact.

The full report is available now. To download the study, visit RevSure’s website and access The 2026 State of Agentic AI in B2B GTM.

About RevSure

RevSure is the only enterprise-grade Revenue System of Action designed for complex B2B go-to-market operations. It unifies fragmented marketing, sales, and GTM operations data into coordinated, AI-driven actions that convert prospects into predictable revenue. Powered by Full-Funnel Agentic AI, RevSure connects data, workflows, and intelligence across the entire funnel, eliminating silos, streamlining execution, and deploying AI agents to maximize marketing impact, accelerate pipeline, and improve forecast confidence. Beyond insights, RevSure delivers automated next-best actions, enabling GTM teams to focus on high-impact execution. Customers have achieved up to 50% higher pipeline ROI and a 20% increase in conversion rate.

Riddhy Mehta
RevSure AI
+91 74063 55355
email us here
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Community Health Media launches an unscripted breast oncology podcast with global KOLs, featuring candid expert dialogue and patient voices on major platforms.

WASHINGTON, DC, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Community Health Media (CHM) today announced the launch of its first breast oncology podcast, co-hosted by two globally recognized key opinion leaders: Dr. Jason Mouabbi of MD Anderson Cancer Center and Dr. Paolo Tarantino of Dana-Farber Cancer Institute.

Designed to tackle the most complex questions in cancer care, the podcast delivers candid, unscripted conversations on emerging clinical data, evolving research, and the real-world realities of practicing oncology — without commercial spin or polished talking points.

Unlike traditional industry programming, each episode centers on timely and often controversial topics shaping the field today, creating space for honest dialogue, debate, and intellectual rigor among peers.

The series will also feature patient advocates, ensuring that lived experience remains central to the discussion and helping bridge the gap between scientific advancement and everyday patient impact.

“Oncology is moving fast, and not every question has a clean answer,” said Dr. Mouabbi. “This podcast creates space for transparency about how decisions are actually made in practice.”

“We’re intentionally going off script,” added Dr. Tarantino. “That means discussing breakthroughs alongside limitations and tradeoffs. It’s honest dialogue, not polished messaging.”

The monthly podcast will feature a rotating lineup of global oncology leaders, clinician-scientists, researchers, and advocates, offering a consistent forum where science, clinical judgment, and real-world experience intersect.

“There’s a lot of oncology content that stays on the surface,” said Seth Laderman, CEO of Community Health Media. “This platform was built to do the opposite — to ask harder questions and give clinicians the freedom to speak openly about what’s working, what isn’t, and what’s next.”

What Sets This Podcast Apart
The first monthly breast oncology podcast anchored by global KOLs
Fully unscripted, peer-to-peer discussions
Focus on both cutting-edge science and the human experience of medicine
Growing roster of top oncology leaders and researchers

Distribution & Availability
New episodes will be released monthly and available on Spotify, Apple Podcasts, Amazon Music, iHeartRadio, and other major platforms.

About Community Health Media
Community Health Media is a healthcare media and insights platform elevating expert voices through premium content, peer education, and data-driven storytelling. CHM partners with clinicians, researchers, and healthcare organizations to deliver credible, impactful conversations across medicine.

Marcus Allen
Managing Director, Community Health Media
+1 703-498-1583
Marcus@communityhealth.media

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Partnership unlocks hidden Medicaid revenue for nonprofits delivering essential community services.

SAN FRANCISCO, CA, CA, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Health Roads, Inc., a provider of AI-enabled revenue cycle management solutions for social and community-based organizations, today announced a strategic partnership with Bonterra, the social-impact software company offering the widely used Apricot case management platform. The partnership creates a seamless process that allows community-based organizations (CBOs) and human services agencies to convert social-care service documentation recorded in Apricot into fully coded, Medicaid-compliant claims and encounters using Health Roads’ SocialRCM^® platform.

Across the country, CBOs and nonprofit human services providers face increasing operational and financial challenges, such as rising service demand, workforce shortages, and complex Medicaid billing requirements. Many agencies deliver eligible services daily but lack the administrative capacity and technical infrastructure to fully capture and submit claims for reimbursement. By integrating Apricot’s configurable case management system with SocialRCM’s automated validation, coding, and claims workflows, Health Roads and Bonterra aim to help organizations improve financial sustainability while providing high-quality, person-centered services.

The combined solution is designed to support organizations in several key areas:
• Converting case notes and service records from Apricot into encounter-ready documentation
• Implementing AI-powered validation to minimize errors and guarantee adherence to Medicaid program regulations.
• Automating coding and claim creation through SocialRCM’s rules-driven engine
• Identifying reimbursable services that may otherwise go unclaimed
• Reducing administrative burden for staff by streamlining billing and reconciliation processes
• Supporting long-term financial stability through reliable reimbursement methods

“Community organizations work tirelessly to meet the needs of individuals and families, yet many struggle to secure the reimbursement they deserve for the essential services they provide,” said Rajib Ghosh, CEO of Health Roads. “The integration of Apricot and SocialRCM creates a reliable and efficient bridge from documentation to reimbursement. Our partnership with Bonterra is focused on helping organizations achieve financial stability so they can continue their mission with confidence and compassion.”

“Apricot customers frequently seek solutions that help them connect their service data to sustainable funding,” said Jill Guffey, Vice President of Client Solution at Bonterra. “By integrating with SocialRCM, we are helping organizations maintain Apricot’s flexibility and ease of use while also gaining access to automated Medicaid billing capabilities. This partnership supports agencies in improving operational efficiency and expanding their ability to serve communities.”

The integrated offering will be available to eligible Apricot customers beginning in early 2026. The companies will provide coordinated onboarding, configuration, and optional wrap-around support services to ensure a smooth implementation process and maximize the value of the combined workflow.
As the landscape of social care, Medicaid, and community-based service delivery continues to evolve, Health Roads and Bonterra intend to collaborate on additional features and enhancements that support data accuracy, compliance, and sustainable funding models for mission-driven organizations.

About Health Roads
Health Roads, Inc. is a technology company specializing in AI-enabled revenue cycle management for social-care, behavioral health, and community-based organizations. Its flagship platform, SocialRCM, automates documentation validation, coding, claims creation, and compliance workflows to help organizations maximize reimbursement and improve operational sustainability.
More information is available at www.healthroads.com.

About Bonterra
Bonterra is the only solutions network built to connect nonprofits and funders across the social good ecosystem. Supporting more than 180,000 organizations and facilitating over $28B in annual giving, Bonterra helps nonprofits, volunteers, funders, corporate partners, and public agencies turn data into action and amplify impact. As the technology leader advancing the effort raise charitable giving to 3% of U.S. GDP by 2033, Bonterra combines trusted platforms, ethical AI, and continuous innovation to power the next era of good.

Media Contacts
Health Roads, Inc.
marketing@health-roads.com

Bonterra, Inc.
press@bonterratech.com

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Health Roads
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Four cornerstone initiatives seek community contributors to advance global eDiscovery best practices

CORBETT, OR, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Leading the way for global best practices in eDiscovery, the Electronic Discovery Reference Model (EDRM) announced that several key projects are seeking contributors: the ESI Protocol Project, the Discovery Workflows Project, the AI-Ethics and Bias Project, and the Testimony Evidence Reference Model (TERM) Project.

Why Join an EDRM Project?

“The resources that EDRM teams create have proven invaluable for judges, lawyers and other legal professionals involved with eDiscovery, information governance, data privacy and other legal technology, including evolving ai tools,” said David R. Cohen, Chair of the EDRM Board of Project Trustees and co-Trustee of the ESI Protocol Project. “Volunteering for an EDRM team not only benefits the bench, bar and clients, but also provides networking and thought leadership opportunities that can be very satisfying and intellectually stimulating for our contributing team members.”

About These Key Projects

ESI Protocol Project

“ESI protocols need not be controversial or a trap for the unwary. The goal of the ESI Protocol Project is to identify consensus on the essential elements of a sound production protocol and to offer neutral guidance on disputed issues, enabling counsel to streamline discussions and use concise, practical language to resolve them,” explained Craig D. Ball, EDRM General Counsel and co-Trustee of the EDRM ESI Protocol Project.

Discovery Workflows

This project examines the full discovery workflow, beginning with document classification to eliminate redundant, obsolete, and trivial (ROT) data and isolate signal from noise. It then addresses information protection, with a continuous focus on building actionable knowledge throughout the process. The team’s goal is to deliver practical guidance across each stage of discovery, highlighting where technology and AI can drive efficiency, reduce risk, and improve overall outcomes.

“What’s unique about this project is the incorporation of the case strategy aspects throughout the discovery process,” explained Cristin Traylor, Senior Director of AI Transformation & Law Firm Strategy at EDRM Trusted Partner, Relativity and Discovery Workflows Project Trustee. “It’s important to have workflows that help surface the harmful and helpful facts of your case so that you can get the best possible outcomes for your clients.”

AI Ethics and Bias Project

As artificial intelligence becomes embedded across legal lifecycles, ethical considerations and bias risks can no longer be treated as secondary concerns. The Electronic Discovery Reference Model AI Ethics and Bias Project addresses the real-world consequences of deploying AI in legal practice, focusing on the effects of AI on people, processes, and outcomes.

Current projects advance two initiatives: the development of a Bias Issue Spotting Guide to help legal and technical professionals identify bias in AI-enabled workflows, and an exploration of the ethical implications of workforce displacement resulting from increased automation. Together, these efforts position legal professionals not only to meet ethical obligations, but to lead responsibly as AI adoption reaches scale.

“These projects create space for informed, practical dialogue across disciplines,” said Khrhysna “Khrys” McKinney, Principal at EDRM Trusted Partner KL McKinney. “By engaging with peers from throughout the EDRM community, participants strengthen their ability to evolve practices with strategic clarity and ratified confidence. This work invites professionals to step beyond the limits of their own roles and contribute to solutions that reflect the full complexity of the legal and technology ecosystem.”

Testimony Evidence Reference Model (TERM) Project

As automation, AI-assisted transcription, and digital platforms reshape how testimony is captured and used, managing testimonial evidence now presents challenges that go well beyond traditional discovery. These developments call for new approaches, ones that can effectively support testimony management in today’s complex legal environment.

The Testimony Evidence Reference Model (TERM) Project, a legal technology initiative, addresses this need by developing practical frameworks that span the full lifecycle of testimony. This includes identification, preservation, access, ethical reuse, privacy protection, and adaptation to technological change.

To that end, the TERM Project builds on and complements the Electronic Discovery Reference Model (EDRM) and its AI Ethics and Bias Project, with a focused emphasis on people, processes, and outcomes. The initiative is structured around four working groups: Acquisition and Generation, Accessibility and Utilization, Emerging Technologies, and Workflow and Deliverables. Together, these groups produce actionable guidance for managing testimony responsibly across a range of legal contexts.

By embedding ethics, transparency, and trust into legal workflows, the TERM Project furthers EDRM’s commitment to principled innovation. It also invites legal and technology professionals to contribute to open, practical resources for the broader legal community.

“The EDRM wasn’t explicitly designed to identify and illuminate best practices for testimony,” said Michael Okerlund, CEO of CloudCourt and co-Project Trustee. “Our team has started exploring a complimentary, purpose-built model that equips legal professionals with cleaner tools and trustworthy guidance.”

The TERM Project is led by:
• Michael Okerlund, CEO of CloudCourt
• Jeffrey Soldridge, Sr. Trial Specialist at Proskauer Rose
• Emily Chaidez, Attorney at Buchalter
• Sheila Grela, Paralegal at Buchalter

How Projects Work

EDRM charters projects based on organic community demand when eDiscovery professionals identify an area of practice that takes too much time and resources to re-invent the wheel. These global, multidisciplinary teams are led by more than one Project Trustee; all are welcome to participate, including both sides of the “v”. More experienced professionals shape the project and lead drafting, while newer, less experienced professionals in the substantive areas are welcomed for project management, illustration, and, especially, reading for general understandability. Projects are not commercially sponsored, and participants are encouraged to “take their employer hat off” to facilitate consensus. Project output is published under Creative Commons International 4.0, allowing the widest use, including commercial use, with attribution back to EDRM.net.

Your voice matters.

Interested in collaborating and contributing? Contact info@edrm.net to join the movement.

About EDRM

Empowering the global leaders of eDiscovery, the Electronic Discovery Reference Model (EDRM) creates practical resources to improve eDiscovery, privacy, security, and information governance. Since 2005, EDRM has delivered leadership, standards, tools, guides, specifications, and frameworks to improve best practices worldwide. EDRM has an international presence in 145 countries, spanning 6 continents and growing, and an innovative support infrastructure for individuals, law firms, corporations, and government organizations seeking to improve the practice and provision of data and legal discovery. Learn more about the EDRM at EDRM.net.

EDRM Media Contact

Holley Robinson
EDRM
+1 737-703-8871
email us here

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TTW Unveils Top 50 Airports in Europe for 2026

NEW YORK CITY, NY, UNITED STATES, January 22, 2026 /EINPresswire.com/ — Travel and aviation infrastructure in Europe is rapidly evolving, with airports embracing cutting-edge technologies like artificial intelligence, automation, biometrics, and sustainability, extensive digital investment. Travel and Tour World (TTW) unveils its Top 50 Airports in Europe ranking, highlighting those leading the charge in AI innovation and technological advancements. The ranking assesses airports based on AI-driven operations, biometric processing, smart security systems, automation, and predictive analytics.

“AI, automation, and data-driven systems are rapidly redefining how Europe’s airports operate. This ranking highlights the airports that have moved beyond pilot projects to embed intelligent technologies across security, passenger processing, and core operations, setting a new standard for the future of air travel.” stated Anup Kumar Keshan, Founder and Editor-in-Chief of TTW.

Top 50 Airports in Europe

London Heathrow Airport – United Kingdom

Istanbul Airport – Turkey

Paris Charles de Gaulle Airport – France

Frankfurt Airport – Germany

Berlin Brandenburg Airport – Germany

Munich Airport – Germany

Brussels Airport – Belgium

Rome Fiumicino Airport – Italy

Amsterdam Schiphol Airport – Netherlands

Helsinki-Vantaa Airport – Finland

Zurich Airport – Switzerland

Madrid-Barajas Airport – Spain

Vienna International Airport – Austria

Oslo Gardermoen Airport – Norway

Barcelona–El Prat Airport – Spain

Copenhagen Airport – Denmark

Milan Malpensa Airport – Italy

Lisbon Humberto Delgado Airport – Portugal

Stockholm Arlanda Airport – Sweden

Athens International Airport – Greece

Düsseldorf Airport – Germany

Hamburg Airport – Germany

Geneva Airport – Switzerland

Dublin Airport – Ireland

Manchester Airport – United Kingdom

Warsaw Chopin Airport – Poland

Prague Václav Havel Airport – Czech Republic

Budapest Ferenc Liszt Airport – Hungary

Luxembourg Airport – Luxembourg

Lyon–Saint Exupéry Airport – France

Tallinn Airport – Estonia

Malta International Airport – Malta

Porto Airport – Portugal

Belgrade Nikola Tesla Airport – Serbia

Hannover Airport – Germany

Keflavík International Airport – Iceland

Vilnius International Airport – Lithuania

Billund Airport – Denmark

London Gatwick Airport – United Kingdom

Sofia Airport – Bulgaria

Turin Airport – Italy

Newcastle Airport – United Kingdom

Cork Airport – Ireland

Larnaca International Airport – Cyprus

Trondheim Airport – Norway

Zagreb Airport – Croatia

Thessaloniki Airport – Greece

Palma de Mallorca Airport – Spain

Menorca Airport – Spain

Cagliari Elmas Airport – Italy

1. London Heathrow Airport – United Kingdom
London Heathrow deploys large-scale AI platforms across security, baggage handling, and operational resilience. Advanced biometrics, predictive analytics, and data-driven disruption management support one of the world’s busiest airports, reinforcing Heathrow’s reputation as a global leader in smart airport infrastructure.

2. Istanbul Airport – Turkey
Istanbul Airport stands among the world’s most technologically advanced greenfield hubs. AI-driven terminal management, biometric passenger processing, smart energy systems, and integrated digital platforms underpin its rapid scalability and position it as a benchmark for future mega-airports.

3. Paris Charles de Gaulle Airport – France
Paris Charles de Gaulle leads Europe in AI-driven aviation security, biometric passenger corridors, and predictive operations management. The airport has invested heavily in smart

border controls, AI-assisted surveillance, and real-time passenger flow optimization, positioning CDG as a flagship hub for next-generation airport technology.

4. Frankfurt Airport – Germany

Frankfurt Airport is a pioneer in robotics, AI-powered baggage systems, and smart terminal automation. Its technology investments focus on predictive maintenance, passenger flow optimization, and autonomous airside solutions, ensuring high efficiency across complex, high-volume operations.

5. Berlin Brandenburg Airport – Germany

Berlin Brandenburg continues to expand its digital infrastructure with AI-enabled security systems, automated passenger processing, and smart terminal operations. Ongoing technology upgrades focus on improving efficiency, resilience, and passenger experience across its modern airport ecosystem.

6. Munich Airport – Germany

Munich Airport is widely recognized for award-winning digital transformation initiatives. AI-powered operations control centers, smart mobility solutions, and passenger-centric technologies enhance efficiency, sustainability, and service quality, cementing Munich’s status as a European innovation leader.

7. Brussels Airport – Belgium
Brussels Airport has made significant investments in AI-supported passenger flow analytics, biometric processing, and digital security solutions. Its technology roadmap emphasizes operational efficiency, seamless connectivity, and data-driven decision-making across both passenger and cargo operations.

8. Rome Fiumicino Airport – Italy

Rome Fiumicino is Europe’s benchmark for AI-led airport operations. From predictive analytics and biometric boarding to AI-supported sustainability systems, the airport integrates innovation across all functions, earning repeated recognition for digital transformation excellence.

9. Amsterdam Schiphol Airport – Netherlands
Amsterdam Schiphol employs AI extensively for passenger flow optimization, real-time capacity management, and predictive operational planning. Its smart airport ecosystem combines biometrics, data analytics, and automation to improve resilience and passenger experience at scale.

10. Helsinki-Vantaa Airport – Finland
Helsinki-Vantaa is a leader in smart airport efficiency, leveraging AI for security screening, passenger processing, and operational forecasting. Strong digital integration and automation enable seamless transfers, positioning the airport as a Nordic benchmark for intelligent aviation infrastructure.

11. Zurich Airport – Switzerland

Zurich Airport is known for high levels of automation and AI-assisted airside operations. Advanced digital systems support predictive maintenance, passenger flow control, and security efficiency, reinforcing Zurich’s reputation for precision, reliability, and technological maturity.

12. Madrid-Barajas Airport – Spain)

Madrid-Barajas invests heavily in AI-powered disruption management, biometric identity verification, and smart terminal operations. Digital platforms enable real-time decision-making and enhanced passenger processing across one of Southern Europe’s largest aviation hubs.

13. Vienna International Airport – Austria
Vienna International Airport integrates AI across security, operations, and passenger services. Its focus on automation, biometric screening, and predictive analytics supports high efficiency, operational resilience, and a consistently strong passenger experience.

14. Oslo Gardermoen Airport – Norway
Oslo Gardermoen leverages AI and automation to support sustainable airport operations. Smart energy systems, digital passenger processing, and data-driven operational tools position the airport at the forefront of environmentally intelligent aviation infrastructure.

15. Barcelona–El Prat Airport – Spain
Barcelona–El Prat continues to expand its smart airport capabilities through AI-enabled security, automated passenger processing, and digital capacity management. Technology investments focus on handling high seasonal demand while maintaining operational efficiency and service quality.

16. Copenhagen Airport – Denmark
Copenhagen Airport blends AI innovation with sustainability-focused technology. Smart passenger analytics, biometric solutions, and energy-efficient digital systems support seamless operations while reinforcing the airport’s leadership in environmentally responsible aviation technology.

17. Milan Malpensa Airport – Italy
Milan Malpensa has strengthened its digital backbone with AI-assisted security, automated baggage handling, and smart terminal systems. These investments enhance efficiency, scalability, and passenger flow management across Northern Italy’s largest aviation hub.

18. Lisbon Humberto Delgado Airport – Portugal
Lisbon Airport is advancing AI-powered passenger processing, security automation, and operational analytics. Ongoing digital upgrades support capacity optimization and improved passenger experience within a constrained yet strategically important airport environment.

19. Stockholm Arlanda Airport – Sweden
Stockholm Arlanda applies advanced automation and AI-driven operational tools to enhance efficiency and passenger flow. Its digital investments reflect Nordic leadership in smart infrastructure, sustainability integration, and data-led airport management.

20. Athens International Airport – Greece
Athens International Airport utilizes AI-supported collaborative decision-making, smart terminal systems, and digital passenger services. Technology deployment focuses on efficiency, reliability, and enhanced connectivity across a growing Southern European hub.

21. Düsseldorf Airport – Germany
Düsseldorf Airport leverages AI analytics to improve punctuality, security efficiency, and passenger experience. Digital platforms support operational resilience, positioning the airport as a strong mid-sized innovator within Germany’s aviation network.

22. Hamburg Airport – Germany
Hamburg Airport is recognized for its commitment to digital innovation, including AI-enabled operations management and smart passenger services. Automation and data analytics play a central role in improving efficiency and sustainability.

23. Geneva Airport – Switzerland
Geneva Airport emphasizes automation and digital precision, deploying AI-supported security, passenger flow control, and airside efficiency tools. Its technology-driven approach supports high reliability within a constrained operational environment.

24. Dublin Airport – Ireland

Dublin Airport is scaling AI-based security screening, passenger analytics, and terminal optimization systems. Continued digital investment supports growing transatlantic traffic and enhances overall operational resilience.

25. Manchester Airport – United Kingdom
Manchester Airport continues its digital transformation with AI-supported terminal management, smart security systems, and real-time passenger flow analytics. Technology investment underpins capacity growth and service reliability.

26. Warsaw Chopin Airport – Poland
Warsaw Chopin Airport has strengthened its smart infrastructure through AI-powered operations planning, automated security, and digital passenger services, supporting efficiency improvements across a rapidly expanding hub.

27. Prague Václav Havel Airport – Czech Republic
Prague Airport focuses on digital passenger experience, deploying smart terminal systems, automated processing, and AI-supported operations to enhance efficiency and manage steady traffic growth.

28. Budapest Ferenc Liszt Airport – Hungary
Budapest Airport continues to modernize through AI-assisted terminal management, automated security, and smart passenger analytics, supporting operational efficiency and service quality.

29. Luxembourg Airport – Luxembourg
Luxembourg Airport combines AI-driven cargo optimization with digital passenger processing systems, emphasizing precision and reliability across mixed-use aviation operations.

30. Lyon–Saint Exupéry Airport – France
Lyon Airport continues its digital transformation through AI-assisted operational tools, smart security systems, and passenger experience technologies.

31. Tallinn Airport – Estonia
Tallinn Airport adopts a digital-first approach, leveraging AI for passenger processing, operational monitoring, and smart infrastructure management.

32. Malta International Airport – Malta
Malta International Airport integrates AI-powered passenger flow systems, automated security, and digital operations platforms, delivering high-impact innovation at a mid-sized scale.

33. Porto Airport – Portugal

Porto Airport invests in smart terminal technologies, AI-supported efficiency tools, and digital passenger services to enhance operational performance.

34. Billund Airport – Denmark
Billund Airport leverages automation and AI to optimize passenger processing and operational efficiency, with a strong focus on reliability and scalability.

35. Vilnius International Airport – Lithuania
Vilnius Airport advances digital passenger services and AI-supported operations management, positioning itself as a rising smart aviation hub in the Baltic region.

36. Keflavík International Airport – Iceland
Keflavík International Airport applies AI-enabled passenger flow analytics and automated processing to manage complex transit traffic efficiently.

37. Belgrade Nikola Tesla Airport – Serbia
Belgrade Airport is investing in modern digital infrastructure, including AI-supported terminal operations and automated passenger processing.

38. Hannover Airport – Germany
Hannover Airport adopts steady automation and smart operational technologies, focusing on efficiency, reliability, and digital passenger services.

39. London Gatwick Airport
London Gatwick Airport is one of the United Kingdom’s busiest airports, renowned for its advanced AI-driven systems and operational efficiency. It employs smart technologies for passenger flow management, security screening, and real-time operational adjustments, enhancing both customer experience and operational resilience.

40. Turin Airport – Italy
Turin Airport integrates digital efficiency tools and AI-supported operations management, reflecting a growing commitment to smart airport practices.

41. Newcastle Airport, United Kingdom
Newcastle Airport deploys smart passenger flow systems, automated security, and digital operational tools to improve efficiency and passenger experience.

42. Cork Airport, Ireland
Cork Airport has gained recognition for digital excellence, deploying AI-supported operations and smart passenger processing systems.

43. Sofia Airport, Bulgaria
Sofia Airport is undergoing infrastructure-driven digital upgrades, including AI-enabled security systems and automated terminal operations.

44. Larnaca International Airport, Cyprus
Larnaca Airport invests in smart terminal technologies and digital passenger services to enhance efficiency and traveler experience.

45. Trondheim Airport, Norway
Trondheim Airport applies Nordic automation standards, using AI and digital systems to enhance efficiency and sustainability.

46. Zagreb Airport, Croatia
Zagreb Airport continues to expand its smart airport framework through digital operations tools and automated passenger processing.

47. Thessaloniki Airport, Greece
Thessaloniki Airport advances operational digitization through AI-assisted planning, smart security systems, and improved passenger processing.

48. Palma de Mallorca Airport, Spain
Palma de Mallorca Airport uses technology-driven efficiency tools and automation to manage high seasonal volumes effectively.

49. Menorca Airport, Spain
Menorca Airport employs targeted digital tools and automation to support seasonal traffic and operational efficiency.

50. Cagliari Elmas Airport, Italy
Cagliari Elmas Airport adopts foundational smart airport technologies, supporting steady modernization and service improvements.

Europe’s AI & Technology Leaders
At the top of the ranking, Paris Charles de Gaulle Airport emerges as Europe’s leading AI-powered aviation hub, recognized for its advanced biometric corridors, AI-enabled security infrastructure, and real-time passenger flow management.

London Heathrow, Frankfurt Airport, and Istanbul Airport follow closely, distinguished by large-scale deployment of AI platforms, robotics, smart terminals, and data-driven operational resilience across some of the world’s most complex airport environments.

Rome Fiumicino Airport, widely regarded as Europe’s benchmark for digital transformation, reinforces its leadership through predictive analytics, biometric boarding, and AI-supported sustainability systems, while Amsterdam Schiphol and Munich Airport continue to demonstrate global best practice in smart airport operations and passenger-centric innovation.

Strong Performance Across Northern and Western Europe
Nordic airports such as Helsinki-Vantaa, Copenhagen, Oslo Gardermoen, and Stockholm Arlanda feature prominently, reflecting the region’s emphasis on automation, sustainability-focused AI, and digitally integrated infrastructure.

Meanwhile, major hubs including Zurich, Madrid-Barajas, Vienna International, and Barcelona–El Prat showcase advanced disruption management systems, biometric identity verification, and smart terminal operations designed to handle high traffic volumes efficiently.

A Blueprint for the Future of European Aviation

Collectively, the Top 50 ranking illustrates how European airports are moving beyond traditional infrastructure expansion toward intelligent, data-driven ecosystems. AI and advanced digital systems are now central to improving operational resilience, reducing congestion, enhancing security, and delivering seamless passenger journeys.

“.” added Anup Kumar Keshan.

Earlier Travel And Tour World has published Top 50 Countries of the World as Best Travel Destinations for 2026, 50 Best Destinations of World for UK Travellers in 2026, Top 50 Destinations Around the World for US Travelers in 2026, Top 50 Airports in the Americas for 2026 Unveiled by TTW and Top 50 Adventure Travel Destinations of the World for 2026.

Research Methodology

The Top 50 Airports in Europe by AI Innovation and Technological Investment evaluates airports based on documented AI deployment, sustainability, automation maturity, biometric integration, digital transformation initiatives, and sustained technology investment across passenger, airside, and operational domains. This definitive ranking is fueled by the real-world experiences of 15 million users of TTW and sharpened by expert editorial insights to establish a new global benchmark for the aviation industry.

About Travel and Tour World

Travel and Tour World (TTW) is a premier global digital B2B travel media platform reaching over 15 million readers worldwide across 104 regional platforms in European, Asian, African, GCC, and Indian languages. Since 2009, TTW has been a trusted source of travel and tourism industry news, intelligence, and trend analysis. As an official media partner to more than 1,500 international travel and hospitality events, including WTM, ITB Berlin, ITB Asia, IMEX America, IMEX Frankfurt, and ATM, TTW connects tourism boards, airlines, hotels, tour operators, MICE planners, and luxury travel brands with global industry decision-makers. With its unmatched multilingual reach and editorial credibility, TTW continues to shape conversations that define the future of global travel.

Tuhin Sarkar
Travel And Tour World
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