At its CommunityLIVE World Tour, Hyland is showcasing what could be the next major evolution in enterprise content management — the Content Innovation Cloud™. Designed to unlock the hidden intelligence buried in unstructured data, the platform merges AI-powered content intelligence, agentic automation, and real-time insights to accelerate digital transformation across Europe.

For enterprises drowning in data silos, Hyland’s latest suite promises a lifeline: real-time intelligence that works across repositories, platforms, and departments—without the need for complex migrations.

“The Content Innovation Cloud is more than a platform – it’s a catalyst,” said Michael Campbell, Chief Product Officer at Hyland. “We’re helping organizations unlock the full value of their enterprise content, automate intelligently, and stay ahead in a fast-moving regulatory and business landscape.”

A Turning Point for European Enterprises

European enterprises have been at the epicenter of digital transformation, balancing innovation, compliance, and digital sovereignty. According to Paul De Leer, Sales Director at Atos, Hyland’s advancements “mark a turning point,” bringing together AI-powered content intelligence and automation that’s “both practical and transformative.”

The implications extend across industries — from financial services to healthcare — where document-heavy workflows are ripe for AI disruption. Rabobank’s Valerie Stam called intelligent document processing “a game-changer,” pointing to its potential for handwritten document recognition and improved customer journeys.

Ubiquitous Enterprise Intelligence

At the core of the Content Innovation Cloud is the Enterprise Context Engine, a layer that unifies fragmented content across multiple repositories — no migration required. It enables contextual insights based on user roles, workflows, and business context, giving teams faster decision-making power and reducing time lost toggling between systems.

This isn’t just about smarter data access. By transforming unstructured data into AI-ready data, the platform fuels automation at scale across healthcare, government, and finance — industries where manual document handling has long bottlenecked progress.

Orchestrating Agentic Automation

Hyland’s new Enterprise Agent Mesh might be the most futuristic piece of the puzzle. It orchestrates distributed AI agents across systems, automating complex, cross-platform workflows without disrupting existing infrastructure.

Agents can classify documents, extract data, or route approvals autonomously — adapting in real time as business conditions change. It’s automation that thinks, not just acts.

At recent Hyland events, customers built real-world agents like Purchase Invoice, Document Editor, and Claim Review Agents during the “Agentic AI Throwdown,” demonstrating the platform’s plug-and-play flexibility.

AI That Understands, Enriches, and Protects

The Knowledge Enrichment and Knowledge Discovery modules redefine how enterprises interact with their data.

• Knowledge Enrichment transforms unstructured content into AI-ready insights while masking sensitive information across 600+ file types, boosting interoperability and compliance.

• Knowledge Discovery brings intuitive agent creation, contextualized outputs, and customizable AI guardrails — a nod to growing demands for trustworthy and compliant AI.

Meanwhile, Hyland Automate introduces natural language-driven process design, cutting configuration time dramatically. The upgraded Intelligent Document Processing (IDP) leverages GenAI reasoning to classify documents and surface contextual insights faster.

Platform Power Across the Portfolio

Hyland’s momentum doesn’t stop at the Cloud. Key platform updates include:

• Nuxeo LTS 2025V3 – Enhanced scalability and compliance, with open-source Elasticsearch architecture and Google Cloud retention support.

• Alfresco 25.2 – New dashboards and process tools for regulated sectors like finance and healthcare, plus a SAP ILM Connector for GDPR-aligned governance.

• OnBase 25.1 – Embedded Content Intelligence Connector and Knowledge Discovery, plus a Cloud Update Service that streamlines upgrades while ensuring transparency and compliance.

Together, these updates enable organizations—including major European hospitals—to manage content securely and deliver intelligent, patient-centered care.

The Bigger Picture

Hyland’s push into AI-powered content intelligence aligns with a broader industry trend: enterprises are demanding systems that don’t just store information but understand it. In a market crowded with “smart” solutions, Hyland’s integrated approach — blending context, compliance, and automation — could make it a standout in the race to intelligent enterprise operations.

As Europe doubles down on digital sovereignty, platforms like Hyland’s may well define the blueprint for how data-driven enterprises evolve — not just to keep up, but to stay ahead.

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Bicoastal marketing and PR agency Marketing Maven just added another feather to its cap — an A+ accreditation from the Better Business Bureau (BBB), the highest rating awarded by the organization. The recognition signals not just operational excellence but also a steadfast commitment to transparency and ethical business practices—qualities often promised, less often proven.

The A+ rating, achieved by scoring between 97 and 100 on the BBB’s 100-point scale, evaluates businesses on trust, honesty, responsiveness, safeguarding privacy, and integrity. For a communications firm, those principles aren’t just good ethics—they’re good business.

“As a BBB-accredited business with the best rating available, we have a long and proven track record of satisfied customers,” said Lindsey Carnett, Founder, CEO, and President of Marketing Maven. “We are dedicated to the BBB accreditation principles—advertising honestly, facilitating trust, being transparent, honoring promises, being responsive, and embodying integrity in all dealings.”

Founded with a focus on integrated marketing, Marketing Maven has built a reputation across diverse industries including healthcare, finance, professional services, nonprofit, travel, and technology—serving clients both in the U.S. and internationally. This latest accolade caps a record-setting year for the firm, reinforcing its standing among top-tier PR agencies navigating today’s crowded, credibility-conscious market.

Why It Matters

In an era when brand trust is fragile and misinformation runs rampant, BBB accreditation still serves as a meaningful benchmark for integrity. For PR firms—whose core product is communication—such third-party validation underscores the value of ethical storytelling and client accountability.

Competitors may chase virality, but Marketing Maven’s latest win reminds the industry that trust remains the ultimate currency in marketing.

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In a digital world ruled by visuals, Cloudinary wants to make sure brands aren’t drowning in their own content. The image and video management platform today rolled out new AI-powered upgrades to its Cloudinary Assets digital asset management (DAM) system — headlined by People Search, an AI-driven feature that identifies individuals across massive content libraries, and enhanced analytics dashboards that help teams monitor usage and performance at a glance.

The goal? To make organizing, governing, and optimizing digital media as intuitive as creating it.

AI That Knows Who’s Who

With People Search, Cloudinary can automatically detect and tag people in photos, creating “named groupings” — say, for brand ambassadors, employees, or campaign talent. Every time a new image featuring that person is uploaded, it’s automatically added to the right collection. The result: no more manual sorting or endless file digging.

That’s particularly useful for brands managing sprawling visual libraries across global teams, where content often spans thousands of assets and dozens of contributors.

Smarter Insights, Faster Decisions

Cloudinary also introduced a new analytics suite that gives marketing and creative teams a clear view of how their visual content is performing — and how the DAM itself is being used. These dashboards surface metrics around content usage, team activity, and asset performance, enabling better governance and strategic planning.

“Delivering engaging visual experiences at scale is no longer optional — it’s expected,” said Rob Daynes, Managing Director of Cloudinary Assets. “These enhancements help teams move faster, stay compliant, and get more ROI from their creative work.”

The Bigger Picture: AI in DAM

Cloudinary isn’t the only player betting on AI to tame content sprawl. Rivals like Adobe, Bynder, and Aprimo have also infused AI into their DAM platforms to improve asset tagging, search, and compliance. But Cloudinary’s differentiator lies in its AI Vision, a built-in system leveraging large language models (LLMs) and specialized computer vision algorithms that can interpret prompts like “Does this image contain a person?” or “Is the model facing left?”

This lets users automate classification and tagging without custom AI training — a major efficiency boost for organizations juggling tens of thousands of images and videos.

Guardrails for the AI Age

As AI-generated and user-submitted visuals proliferate, Cloudinary’s content credentialing capabilities — compliant with C2PA standards — aim to ensure authenticity and trust in digital assets. AI-driven moderation adds another layer of brand safety by automatically flagging or filtering inappropriate or off-brand content.

What’s Next

Attendees at DAM New York 2025 can catch Cloudinary at booth #14 or during the session “Exploring Video in DAM” on October 14, featuring experts from Blackstone, MLSE, and ICP.

For current users, the new AI features and analytics tools are live today. And for anyone curious about the ROI of automation, Cloudinary even offers an AI Value Calculator to estimate savings.

Cloudinary’s latest move reinforces its push to keep enterprises’ visual content organized, intelligent, and future-proof — one pixel, one prompt at a time.

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5WPR, one of the largest independently owned PR firms in the U.S., has launched a new integrated tech marketing offering aimed at supporting both fast-growth startups and enterprise technology brands. The service combines public relations, digital marketing, and reputation management to help companies build authority, drive demand, and accelerate growth.

The end-to-end approach covers strategic communications, narrative-driven PR campaigns, content creation, SEO, PPC, social media, influencer partnerships, and online reputation management. Specialized guidance is also offered for complex financial communications, including M&As and IPOs.

Driving Visibility in the Age of AI and Search

“Our integrated tech marketing offering is tailored to meet the unique challenges tech companies face today,” said Matthew Caiola, CEO of 5WPR. “By combining PR expertise with cutting-edge digital marketing and reputation management, we empower clients to stand out and build lasting connections with their audiences.”

The service leverages 5WPR’s proprietary GEO optimization tools and advanced digital strategies to enhance visibility across search engines, AI-driven platforms, and social channels. Campaigns are designed for measurable results, helping brands generate qualified leads, increase engagement, and reinforce thought leadership.

Supporting Growth Across All Stages

This launch reflects 5WPR’s commitment to providing results-driven solutions for tech companies at every stage — from early-stage startups seeking traction to established enterprises reinforcing industry leadership.

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Lorikeet, the AI company building universal concierges for businesses, has launched its Team of Agents platform — an industry first that enables multiple AI agents to collaborate in real time to resolve customer issues across voice, chat, email, and SMS.

Unlike traditional single-threaded chatbots that simply direct users to help articles, Lorikeet’s system orchestrates end-to-end problem solving. For instance, it can call logistics providers to track missing orders, text doctors for prescription follow-ups, or email hotels to arrange accommodations, all while keeping the customer informed through their preferred channel.

Why Lorikeet Stands Out

CEO Steve Hind explains, “Customers want someone to actually solve their problems. Our Team of Agents coordinates multiple agents across channels to deliver complete resolutions, not just responses.”

Key differentiators include:

• Multi-modal support: Deploy AI across voice, chat, email, and SMS, critical for real-world interactions.

• Fully configurable workflows: Adapt Lorikeet to your business logic, from structured processes to fully autonomous agentic solutions.

• Coordinated agent teams: Specialized agents engage third parties simultaneously, ensuring fast, accurate resolution.

Customer Success Stories

• Flex: Lorikeet helps renters manage monthly payments and avoid late fees, outperforming Decagon in accuracy and speed.

• Arbor: AI agents manage complex retail energy customer requests across 13 states, with high satisfaction and brand loyalty reported.

The result: higher customer satisfaction, stronger brand loyalty, and scaled agent productivity, allowing support teams to achieve more without adding headcount.

Industry Recognition

Lorikeet was also top-ranked in Andreessen Horowitz’s AI Spending Report, analyzing over 200,000 startups, highlighting its growing adoption as a solution for real, end-to-end customer experience automation.

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Qlik®, a global leader in data integration, analytics, and AI, has been named a Leader in the IDC MarketScape: Worldwide Business Intelligence and Analytics Platforms 2025 Vendor Assessment (doc #US52034725, July 2025).

The IDC report highlights the growing enterprise demand for “decision velocity” — the ability to make fast, data-driven decisions. Qlik’s analytics capabilities enable this through Qlik Cloud Analytics® and Qlik Sense®, which help users explore data, ask questions in natural language, and generate GenAI-powered explanations and actions within their workflows.

Empowering Real-Time Decision Intelligence

“Leaders are asking for one thing: shorten the distance between a question and an action,” said Brendan Grady, General Manager of Analytics at Qlik. “This recognition reflects how our customers apply governed AI and analytics to make confident decisions and automate next steps.”

Enterprises use Qlik’s high-performance analytics engine for in-memory calculations, non-linear data exploration, and AI-assisted insights — all governed to ensure data security. Through open APIs and SDKs, analytics can be embedded directly into applications, workflows, and customer-facing platforms for faster operational execution.

Customers Driving Value with Qlik

“Qlik puts trusted insight into the tools our teams use all day,” said Mikkel Hecht Hansen, Head of BI at Nordisk Film A/S. “We can ask questions in plain language, understand why a recommendation is made, and trigger the next step securely — all within one flow. That’s how we’re operationalizing AI responsibly.”

Analytics Without Boundaries

Qlik’s platform supports hybrid and multi-cloud environments, integrating data from major sources and pushing actionable insights into operational systems. With Qlik Predict™, Qlik Answers®, and event-driven automation, organizations are turning analytics into measurable business outcomes.

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Yext, Inc. (NYSE: YEXT), the leading brand visibility platform, has released a landmark study analyzing 6.8 million AI citations across ChatGPT (OpenAI), Gemini (Google), and Perplexity. The findings reveal that 86% of AI-generated citations originate from brand-controlled sources such as websites and listings — challenging the notion that forums like Reddit dominate AI visibility.

The study emphasizes that AI visibility depends heavily on consumer context — including location and intent — not just brand prominence. “Discussions about measuring AI visibility are missing the most important factor: the consumer,” said Christian J. Ward, Chief Data Officer at Yext. “Our research clears this up. The message for marketers is that the most impactful sources are the ones they already control.”

Key Findings: Owned Sources Lead the AI Citation Race

• Websites dominate: 44% of AI citations come from first-party websites, followed by listings (42%) and reviews/social (8%).

• Forums underperform expectations: Reddit and similar sites accounted for just 2% of citations after factoring in query intent and location.

• Platform differences: Gemini favors websites (52.1%), OpenAI leans toward listings (48.7%), while Perplexity diversifies with MapQuest and TripAdvisor.

• Unbranded queries matter: Nearly 60% of citations for unbranded, objective questions come from first-party websites and local pages.

Industry Breakdown: Control Varies by Sector

• Retail: 47.6% of citations from brand-owned websites.

• Finance: 48.2% from authoritative brand domains.

• Healthcare: 52.6% from directories like WebMD and Vitals.

• Food Service: 13.3% from reviews/social, 41.6% from listings.

Across all industries, Yext found that 86% of citations come from brand-owned or managed assets, giving marketers a clear roadmap to influence their AI visibility.

AI Search Adoption Is Accelerating

According to Yext’s companion report, The Rise of AI Search Archetypes, over half of U.S. consumers now use AI assistants weekly. Yet 64% of marketing leaders remain uncertain how to measure AI search success, and 72% believe AI search will overtake traditional SEO within three years.

“Structured, accurate data is the foundation of digital visibility,” said Mike Walrath, CEO of Yext. “This research proves that when brands control their data, they control their visibility.”

The Road Ahead: How Marketers Can Optimize for AI Search

Yext recommends marketers:

• Measure visibility locally to track citations by source and region.

• Structure brand facts in machine-readable formats connecting locations, services, and providers.

• Distribute verified data to the sources AI models trust most — websites, listings, and reviews.

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The age of AI assistants is giving way to something far more capable: AI agents that act. According to G2’s newly released 2025 AI Agents Insights Report, these systems are no longer experimental toys for the tech-savvy—they’re driving measurable business growth across industries.

Based on responses from over 1,000 B2B decision-makers, G2’s report reveals that 57% of organizations already have AI agents in production, and more than half plan to expand their scope or budgets in the next 12 months. It’s a striking sign that AI agents—autonomous systems capable of executing tasks and coordinating workflows—have crossed the adoption chasm faster than the generative AI tools that preceded them.

“Agents are the great leap in the application of AI technology that we’ve all been waiting for,” said Tim Sanders, Chief Innovation Officer at G2. “This shift moves us from measuring individual productivity to predicting organizational velocity.”

From Hype to Business Outcomes

Unlike the first wave of generative AI, which primarily assisted and advised, AI agents act—triggering real business operations and handling decision-based tasks. The report found that the median time to value for agent deployments is six months or less, a turnaround that equals or surpasses traditional AI investments.

Among surveyed companies:

• 40% have budgets exceeding $1 million for agent initiatives.

• 25% of large enterprises are prepared to spend over $5 million.

• 83% of buyers report satisfaction with agent performance.

• Velocity gains of up to 50% were reported in marketing and sales functions.

That momentum is translating into measurable operational gains. G2 data shows a median 23% improvement in speed-to-market, and nearly 90% of respondents reported higher employee satisfaction in departments where agents were deployed—suggesting that automation, when implemented thoughtfully, can enhance morale rather than threaten it.

Trust, the Key to Scaling AI

Perhaps the most telling insight: organizations that keep a “human in the loop” are seeing dramatically better results. These hybrid models were twice as likely to achieve 75% or greater cost savings compared to fully autonomous setups. In other words, trust isn’t just ethical—it’s economical.

“Agent systems are far more likely to advance to deployment when they maintain human oversight,” Sanders explained. “That’s what’s building the confidence to scale.”

SaaS Must Evolve—or Be Left Behind

The rise of agents is also shaking up the software-as-a-service (SaaS) ecosystem. G2’s report predicts that standalone SaaS tools will soon give way to “agent-augmented platforms.”

Key findings include:

• One in three companies would switch vendors to gain agent functionality.

• 68% of leaders see agents augmenting, not replacing, SaaS applications.

• The Agent-to-Agent (A2A) era has already begun, with half of companies reporting that their AI systems now coordinate across vendors and platforms.

That dynamic is likely to redefine the software market itself—pushing vendors to rethink pricing, packaging, and positioning in an agent-first world.

The Takeaway: AI Agents Are Here to Work

If generative AI represented imagination, AI agents represent execution. The shift from content creation to operational automation is redefining enterprise productivity—and G2’s data suggests the change isn’t theoretical. It’s happening now, across boardrooms, IT stacks, and front-line workflows alike.

As Sanders put it, “The organizations winning in 2025 are those that treat AI not as a tool, but as a teammate.”

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