M-Files, a leader in context-first document management, has launched M-Files Workspaces, a new business application that transforms how organizations manage, understand, and act on information in the age of AI. Built on the company’s unique context-first architecture, Workspaces goes beyond traditional document storage—linking every piece of content to the people, projects, and processes that define its purpose.

The result? A unified, intelligent view of work that simplifies complexity, accelerates decisions, and enhances compliance across the enterprise.

Moving Beyond Document Storage

While most businesses still rely on fragmented systems and manual searches to locate vital information, M-Files Workspaces takes a different approach. Instead of organizing documents by where they are stored, it organizes them by why they matter—presenting all related documents, tasks, and stakeholders in one connected view.

This context-first model empowers employees to start with what’s most important—a client, a project, or a process—and instantly access everything relevant. It eliminates the friction of navigating endless folders or chasing down updates, creating a faster, more transparent workflow.

“As generative AI becomes more pervasive, information overload is becoming a real threat to productivity,” said Tony Grout, Chief Product Officer at M-Files. “Workspaces represents a fundamental shift in how people work with documents and business information. M-Files is built on a model that understands how your business operates, delivering insights you can trust and automation that feels natural.”

A Unified Experience Built for Efficiency

Workspaces is powered by M-Files Aino (“I-Know”), the company’s AI engine that delivers intelligence through context rather than isolated data. Aino connects clients, projects, and workflows to generate smarter insights, drive automation, and ensure compliance—all while maintaining a frictionless experience.

According to Mikko Pippuri, Digital Ninja at Berggren, the solution is already showing transformative results. “With M-Files Workspaces, we expect to significantly reduce the time our busy experts spend searching for information,” he said. “We’re looking ahead to complete visibility into our clients and cases, where decisions happen faster, errors are minimized, and collaboration feels effortless.”

Designed for Smarter, Faster, More Human Work

M-Files Workspaces reimagines how teams interact with information through three core capabilities:

• Faster Access to Relevant Content: Personalized, role-based views surface the most critical documents and insights, including files from Microsoft 365.

• Effortless Navigation: Users move seamlessly between related items—documents, projects, or contacts—without endless backtracking or filtering.

• Complete Context in One View: A unified interface brings together all relevant content, stakeholders, and systems, offering total visibility into the business process.

Workspaces also integrates deeply with core business platforms such as CRM, ERP, and Practice Management systems, ensuring users always have the right information in the right context.

Redefining Productivity in the AI Age

In an era where knowledge is scattered across disconnected systems, M-Files Workspaces aims to reconnect the dots. Its context-first model reduces operational friction, empowers employees to make faster and more informed decisions, and turns information chaos into structured clarity.

By bridging AI intelligence with human intent, M-Files is not just improving document management—it’s reshaping how organizations work, collaborate, and innovate in a connected, AI-powered world.

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Rivvit, a leading data management and reporting platform for investment managers, has announced the availability of its data within Snowflake’s AI Data Cloud, offering clients a new way to access, analyze, and act on trusted investment data across their enterprise systems.

The integration strengthens Rivvit’s mission to make investment data more accessible, connected, and actionable for financial institutions. Through Snowflake’s secure and scalable environment, asset managers can now leverage Rivvit’s clean, normalized, and governed data directly for analytics, modeling, and business applications.

“Data accessibility is the next frontier for investment firms,” said Greg Dziad, COO of Rivvit. “Rivvit ensures that the data entering Snowflake is accurate, governed, and ready to use. Together, we’re giving clients the combined power of Rivvit’s trusted data foundation and Snowflake’s modern scalability.”

Rivvit acts as a data backbone, integrating information from trading, accounting, performance, and risk systems into a unified model purpose-built for investment management. The Snowflake partnership extends this foundation, enabling seamless use of “gold copy” data across internal teams, partners, and business applications—without compromising governance or performance.

The collaboration will allow investment firms to:

• Instantly access trusted data within Snowflake for AI-driven insights and analytics

• Scale securely using Snowflake’s governance and performance capabilities

• Extend data usage across teams and partners with full control and transparency

“Snowflake has transformed how organizations connect and collaborate with data,” Dziad added. “Rivvit builds on that foundation by modernizing how investment managers organize, govern, and share their data. Together, we’re helping firms unlock new levels of transparency, efficiency, and innovation.”

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Memgraph, the open-source in-memory graph database platform, is breaking new ground with the release of two major tools designed to simplify and democratize access to Retrieval-Augmented Generation (GraphRAG) technology. The AI Graph Toolkit, available immediately, and an upcoming MCP Client aim to make it easier for developers to bridge traditional SQL and unstructured data with the advanced reasoning capabilities of graph-based AI systems.

Opening the Door to GraphRAG for All

GraphRAG—first introduced by Microsoft in 2024—has quickly become one of the most effective methods for improving large language model (LLM) reasoning. By combining graph databases with retrieval-augmented generation, GraphRAG helps LLMs deliver accurate, context-rich, and non-hallucinatory answers.

Despite its promise, GraphRAG adoption has largely been confined to graph database specialists. The vast majority of developers still work within SQL environments, and much of enterprise data remains trapped in relational and unstructured formats. According to Gartner, 62% of global DBMS revenue in 2023 came from relational systems, while 80–90% of new enterprise data is unstructured.

Memgraph’s new toolkit and client aim to close that gap.

Automating Data Transformation with the AI Graph Toolkit

The AI Graph Toolkit is a set of open-source libraries and utilities that automate the conversion of SQL and unstructured data into a graph format ready for GraphRAG pipelines. The toolkit includes SQL2Graph and Unstructured2Graph, both of which allow developers to seamlessly build knowledge graphs from existing data sources.

This automation replaces the tedious manual work traditionally required—mapping tables, identifying entities, performing entity resolution, and converting unstructured files into vector embeddings. Developers can now prepare data for GraphRAG-driven applications with 10x faster development cycles, based on results from multiple beta test sites.

Marko Budiselić, Memgraph’s CTO and Co-founder, emphasized the breakthrough:

“Our new tools make GraphRAG development far more accessible. Developers no longer need deep graph expertise to transform SQL and unstructured data into powerful AI-ready knowledge graphs. The result is faster, smarter, and more reliable AI chatbot performance.”

The MCP Client: Expanding Graph Connectivity

Launching later this month, Memgraph’s MCP Client will further streamline integration between graph systems and diverse data environments. Fully compatible with the emerging standard for context engineering, the client enables seamless connectivity between Memgraph’s graph capabilities and various back-end sources through other MCP Servers.

This interoperability is expected to accelerate AI developer productivity, especially for organizations adopting hybrid data architectures.

From Prototype to Production with JumpStart

To help enterprises deploy production-ready GraphRAG solutions quickly, Memgraph has introduced the JumpStart Programme. The initiative combines a Memgraph Enterprise license with over 20 hours of expert support and implementation. Within weeks, companies can achieve a full GraphRAG pipeline featuring hybrid search (vector + graph reasoning), sub-second latency, and explainable, provenance-rich answers.

The AI Graph Toolkit is now available for download via GitHub and is also accessible through Memgraph Cloud. More details about the Toolkit and MCP Client will be shared at Connected Data London, held at the Leonardo Royal London Hotel Tower Bridge on November 20–21, 2025.

Memgraph’s push into GraphRAG accessibility signals a significant leap for the AI and data management landscape—one that could finally unite structured and unstructured data under a single, intelligent framework for real-time enterprise applications.

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Picsart, the global leader in digital creation with more than 2 billion downloads and 130 million monthly active users across 150 countries, has expanded its creative platform with new AI-driven products designed to accelerate “vibe design” at scale. Announced at Web Summit 2025 in Lisbon, the company’s latest innovations—Picsart Assistant and Picsart Flows—combine conversational intelligence with professional-grade creative tools to simplify design workflows and empower creators worldwide.

Revolutionizing Vibe Design Through AI

Picsart has long been the go-to platform for creators, offering 150+ design tools, millions of templates, stickers, and stock content. With over half its user base made up of Gen Z creators, the company’s latest AI advancements reflect its deep understanding of how this generation blends creativity with technology.

“Picsart is dedicated to empowering users to bring their ideas to life faster and smarter,” said Hovhannes Avoyan, CEO and Co-founder of Picsart. “With Picsart Assistant and Flows, we’re enabling creators to design intuitively, focus on their vision, and produce stunning results with ease.”

Both tools introduce a new era of conversational creativity, where users describe what they want to achieve—and Picsart’s AI handles the rest.

Picsart Assistant: Your Conversational Creative Partner

The Picsart Assistant is built for “vibe design,” helping users express emotions, moods, and styles through natural language. Instead of relying on static tools or complex prompts, creators can converse directly with the AI, describing their goals in plain English or even by voice.

“Designing doesn’t start with tools—it starts with imagination,” said Mikayel Vardanyan, COO and Co-founder of Picsart. “Picsart Assistant gives users a creative partner that understands their vibe, adapts in real time, and keeps every design editable.”

Key features include:

• Goal-Oriented Creation: Users describe outcomes, and the AI delivers.

• Layered Generation: Produces editable, multi-layer designs for easy adjustments.

• Voice-to-Design: Converts natural speech into fully realized visuals.

• Unified Workspace: Brings all of Picsart’s tools into one intuitive, conversational flow.

• Adaptive Intelligence: Learns user preferences for improved results.

• Context Intelligence: Tailors designs based on purpose—ads, social posts, or campaigns.

By automatically selecting the right AI models for each project, Picsart Assistant eliminates technical guesswork, allowing creators to focus purely on storytelling and aesthetic.

Picsart Flows: Infinite Canvas for Collaboration

Picsart Flows extends the platform into a fully scalable, infinite creative workspace. Designed for creators and marketing teams managing multiple projects, Flows integrates all creative assets—images, videos, text, and AI tools—into one seamless ecosystem.

Users can create, test, and automate campaigns without leaving the platform, drastically reducing subscription fatigue and tool-hopping. For advanced users, Flows supports integration with third-party AI models, offering flexibility and speed for enterprise-grade content production.

“Flows lets creators move from idea to campaign execution without losing focus,” said Tom Howes, Product Director at Picsart. “It eliminates repetitive tasks and enables creators to automate output while keeping creative control.”

Key features include:

• Infinite Canvas: Work fluidly across projects without page limits.

• AI Model Choice: Select preferred AI tools for specific creative needs.

• Repeatable Workflows: Reuse and adapt Flows across campaigns.

• Pre-Built Templates: Jumpstart projects with built-in AI flow prompts.

• Real-Time Collaboration: Work with teammates simultaneously within one environment.

Empowering the Next Generation of Creators

Picsart’s expansion into conversational AI represents a pivotal shift in creative technology—aligning with a generation that values speed, collaboration, and authenticity. The new tools simplify the process of producing high-quality content for social media, marketing, and brand storytelling, all while maintaining creative control.

“Picsart’s AI ecosystem gives creators professional-grade power with zero learning curve,” said Avoyan. “We’re helping the next generation of digital storytellers thrive in a content-first world.”

Live from Web Summit 2025

Picsart’s leadership team is showcasing these innovations at Web Summit 2025:

• Hovhannes Avoyan, CEO and Co-founder, presents the official launch of Picsart Assistant and Flows on November 12 at 11:30 WET.

• Tom Howes, Product Director, hosts a Masterclass at 16:00 WET, offering hands-on guidance on how to integrate these tools into professional workflows.

With AI now at the core of its platform, Picsart is cementing its position as the creative engine for a new generation—one where technology amplifies imagination and design becomes as natural as conversation.

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EngageLab, a global leader in AI-powered omnichannel customer engagement, has launched a new data center in Istanbul, Turkey, bolstering its global infrastructure and enhancing email delivery performance for international enterprises.

The new facility expands EngageLab’s “dual data center + multi-node” network, complementing its core centers in Istanbul and Singapore and eight global service nodes across Frankfurt, Los Angeles, Silicon Valley, Mumbai, Hong Kong, Shanghai, and others. This addition strengthens the company’s computing and storage footprint across the Eurasia–Africa corridor, ensuring low-latency and localized email delivery for global businesses.

AI-Powered Email Marketing for Smarter Engagement

EngageLab Email offers 100+ customizable templates for every stage of the customer lifecycle—from acquisition to conversion—paired with AI-driven content creation and an intuitive drag-and-drop editor. Marketers can preview emails across clients such as Gmail, Outlook, and Yahoo to ensure consistent user experiences.

The platform’s AI and data-driven capabilities enable brands to craft high-converting campaigns through automation, real-time insights, and intelligent testing, helping marketers optimize both engagement and ROI.

Enterprise-Grade Deliverability and Security

EngageLab integrates BIMI, DKIM, SPF, and DMARC protocols to secure sender reputation and improve inbox placement. Dedicated IP environments isolate performance variables, while partnerships with major anti-spam organizations ensure compliance and minimize blacklist risks.

Intelligent warm-up functions and automated A/B testing further enhance inbox placement—achieving up to 99% delivery accuracy. Marketers also benefit from real-time journey tracking, including delivery, opens, clicks, and unsubscribes, for precise performance measurement.

Strategic Hub for Eurasian Connectivity

Located at the intersection of Europe, Asia, and Africa, Turkey’s new data center positions EngageLab as a key enabler for brands expanding into the Middle East and North Africa (MENA) region. The infrastructure addresses persistent issues like high latency, inconsistent deliverability, and data localization challenges, enabling brands to:

• Meet regional data compliance standards

• Reduce email latency and improve delivery stability

• Strengthen brand reputation with localized IPs

Empowering Global Business Expansion

Serving enterprises in 220+ countries and regions, EngageLab processes hundreds of millions of emails daily, boasting an average delivery time of just three seconds. With the addition of the Turkey data center and expanded AI capabilities, EngageLab reinforces its commitment to secure, scalable, and intelligent global communication solutions.

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Bond, a leading customer intelligence-driven engagement company backed by Mountaingate Capital, has acquired Armadillo, the UK-based award-winning CRM agency known for its expertise in data-driven personalization and loyalty strategy.

The acquisition marks a major expansion of Bond’s global footprint, combining AI-powered intelligence, CRM strategy, and creative activation to help brands personalize every customer interaction and drive measurable growth. Together, the two companies now manage nearly 200 million consumer profiles and employ over 850 specialists across North America and Europe.

Uniting Data, CRM, and Loyalty for Smarter Engagement

The combined entity delivers a fully connected engagement system spanning predictive analytics, CRM and loyalty strategy, MarTech enablement, and performance measurement. By integrating Armadillo’s CRM expertise with Bond’s loyalty and intelligence platforms, the companies aim to help brands unlock precision personalization and improve customer lifetime value.

“By fusing Bond’s data science and loyalty technology with Armadillo’s CRM and personalization expertise, we’re enabling brands to personalize every moment, optimize every investment, and grow every relationship,” said Morana Bakula, CEO of Bond.

Armadillo’s Award-Winning Legacy

Founded in 1993, Armadillo has become one of the UK’s most awarded independent CRM agencies, recognized by the Data and Marketing Association (DMA) for four consecutive years. The agency’s client roster includes Disney, easyJet, Nationwide Building Society, Greene King, Cunard, and Huel — brands that rely on its MarTech-driven personalization to deliver measurable business results.

James Ray, formerly CEO of Armadillo, will assume the role of SVP, Head of CRM, Global at Bond, while Jo Penn becomes Managing Director, UK & Europe. Both will continue to oversee client relationships and lead integration efforts alongside existing leadership teams.

Expanding Bond’s Global Growth Strategy

The acquisition reinforces Bond’s position as a global leader in customer intelligence, loyalty, and behavioral science. The company’s existing client base includes Adobe, Ford, McDonald’s, Sephora, and Gap — brands that rely on its proprietary technology and analytics to deliver high-impact engagement programs.

“This acquisition substantiates our guiding principle that customer understanding drives long-lasting success,” said Bob Macdonald, Founder and Chairman of Bond. “Our depth in loyalty, coupled with Armadillo’s creative and one-to-one marketing strengths, provides clients with unparalleled engagement solutions that inspire customer action and deliver sustainable growth.”

A Unified Vision for Intelligent, Connected Growth

According to Ray, the integration is more than a merger of capabilities — it’s a cultural fit. “Marketing is at a turning point,” he said. “Together, we cut through complexity, turning brand, tech, and loyalty into one seamless engine for growth. It’s a perfect fit: same vision, same passion, all totally connected to the work and our clients.”

The move underscores Bond’s ongoing expansion strategy, further enhancing its ability to provide fully integrated, intelligence-first marketing solutions to global enterprises.

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Toronto-based digital marketing and SEO agency dNOVO Group has released a new study spotlighting the top SEO agencies in Toronto for 2025, offering an in-depth look at the firms driving digital growth in one of Canada’s most competitive online markets.

The annual report evaluates agencies on service quality, transparency, verified client satisfaction, and measurable performance outcomes, helping Canadian businesses identify reliable partners for their search marketing strategies.

dnovo Group Leads in SEO Innovation

According to the study, dnovo Group itself emerged as a top leader in Toronto’s SEO landscape. Rankings were based on a blend of quantitative and qualitative criteria, including verified reviews, client responsiveness, pricing transparency, and industry specialization.

The research team also conducted a technical SEO audit, reviewing website performance, search health metrics, and case study credibility to ensure rankings reflected real-world results, not just reputation.

The Advantage of Local SEO Expertise

The report highlights that Toronto-based agencies provide a distinct competitive edge for Canadian businesses. Local SEO firms not only understand Google’s evolving algorithms but also the cultural nuances, bilingual audiences, and regional search patterns that shape engagement across the Greater Toronto Area.

“Local context is everything,” the study notes. “The way people search in Scarborough or Etobicoke isn’t identical to Bay Street professionals or Yorkville boutiques. The best Toronto SEO agencies know how to connect brands with these unique audiences.”

AI Search Optimization Defines the Next Frontier

dnovo’s analysis also underscores the growing role of AI-driven SEO, with top-performing agencies optimizing for emerging AI search platforms such as Google SGE (Search Generative Experience), ChatGPT, and Perplexity.

This shift marks a new era in search marketing, where authenticity, user intent, and transparency are critical for visibility and growth. According to the report, agencies that integrate AI insights, automation, and content adaptability will set the standard for next-generation SEO performance in 2025 and beyond.

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Enterprise marketers love talking about AI, automation, and cutting-edge martech. Yet a new survey suggests most of that hype falls apart at the foundation: the data feeding those tools. According to fresh research from Intermedia Global (IMG), only 2% of UK marketing leaders rate their data quality as strong and flowing cleanly through their martech stack. In other words, 98% are operating with data that slows them down—or worse, derails their ambitions.

The study, which surveyed 250 C-suite executives running marketing technology budgets within mid-sized UK enterprises (£100m–£500m in revenue), exposes a deep operational gap. Despite a decade of martech expansion, data remains the weakest link.

Data Inefficiencies Are Draining Budgets—and Patience

Marketers often blame slow performance on tools, teams, or budgets. Yet IMG’s findings point to something far simpler: poor data flow. And the consequences show up everywhere.

Nearly half of respondents waste time manually pulling reports. Forty-four percent say weak data slows learning cycles and triggers repeat mistakes. Even more concerning, 42% admit they lose budget because existing tech is underused or misused. Another 40% struggle with broken targeting and wasted media spend—a costly issue in a market where every click is scrutinised.

These pain points reflect a deeper structural problem. Martech stacks have grown rapidly, but integration rarely keeps pace. When the pipes are clogged, nothing downstream works as promised.

AI’s Value Hinges on Data Readiness

IMG’s data planning lead, Emily Crisp, points out that the problem isn’t a lack of awareness. In fact, 91% of CMOs say data quality directly affects campaign performance. What’s missing is action—and the discipline required to fix foundational issues before adding new technology.

Crisp also highlights a growing disconnect: brands are pouring money into AI tools while ignoring the data requirements those tools depend on. MIT’s recent findings show that 95% of companies have yet to see ROI from generative AI pilots. The issue isn’t AI—it’s the poor-quality data feeding it.

Tools powered by machine learning amplify whatever they ingest. If the inputs are messy, the outputs will be worse. In short, AI cannot rescue bad data. It only exposes it.

The Real Path Forward: Fix the Data, Not the Stack

The martech industry has long been obsessed with adding new platforms, integrations, and “next-gen” capabilities. IMG’s research is a blunt reminder that innovation without operational discipline rarely delivers value.

Crisp puts it plainly: improving data flow is the first step toward better performance. Ignoring it creates friction at every stage of the marketing lifecycle. Before CMOs chase new AI promises, they must address the fundamentals—governance, hygiene, enrichment, and cross-platform consistency.

It may not be glamorous, but it is transformative. Strong data turns existing martech into high-performing assets. Weak data turns even the most advanced tools into expensive clutter.

For marketing teams under pressure to prove ROI, this is the wake-up call. AI will not fix the martech ecosystem. But clean, efficient data just might.

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