Tuesday, October 20, 2026
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2X and 6sense Partner to Streamline Buyer Intelligence to Revenue

2X, a leader in subscription-based go-to-market (GTM) services, has launched its largest suite of 6sense services to date. This change alters how B2B companies use intelligence for marketing and sales on a big scale. This announcement was made during the 6sense Breakthrough 2025 event in Las Vegas. At this event, 2X received the 2025 Agency Partner of the Year award.

2X has over 175 certified 6sense pros, making it the largest team outside 6sense. Plus, we have a network of more than 1,200 B2B marketing experts. This gives us unmatched depth, capacity, and experience for every client we work with.

A Complete 6sense Services Ecosystem

The new 2X portfolio enhances all features of the 6sense platform. It covers Platform, Predictive, AI Email, Sales Intelligence, and Intelligent Workflows. This is all done through a thorough service framework. These services span the whole adoption lifecycle. They include initial setup, strategic consulting, and ongoing ABM. We also handle campaign management, reporting, and analytics. Additionally, we offer sales enablement, content production, creative work, media management, marketing operations, and technical integration.

With over 100 successful 6sense implementations, 2X ensures smooth integration in clients’ revenue tech systems. The company connects 6sense with key platforms. These include Gong, HubSpot, Salesforce, Bombora, Outreach, Salesloft, and Adobe. They connect through integrations and managed services. This enables a cohesive go-to-market approach across the tech stack.

Also Read: Consensus and Trupeer Launch AI Video Content for Product Demos

Scaling 6sense Adoption Through Subscription-Based Services

With 2X’s AI-driven subscription model, businesses access global expertise and scalable resources. This helps boost their 6sense adoption. They can do this without needing to grow internal teams or budgets. This strategy helps clients get the most from their 6sense investment. As a result, they see real gains in marketing, sales, and customer success.

As part of this collaboration, clients can buy 2X services directly. They can do this through their existing contracts or from their 6sense account executive. This integration enhances 6sense’s professional services portfolio, giving customers new, frictionless pathways to accelerate adoption and realize greater value from the platform.

“6sense is a powerful platform, and powerful platforms require expert execution,” said Dom Colasante, CEO of 2X. “We’ve spent years building the services to deliver that execution at scale. This partnership makes it easier for clients to get both, which is exactly what they’ve been asking us for.”

“6sense gives revenue teams the intelligence and automation to drive performance across marketing, sales, and customer success,” said Chris Ball, CEO of 6sense. “Our expanded partnership with 2X makes it even easier for customers to access the certified expertise and scalable resources they need to accelerate results and realize the full value of their 6sense investment.”

Inkeep Launches Agent Builder For Customer Experience, Go-To-Market and Operations Teams

Inkeep, a company building frameworks to build AI Agents, has announced the launch of its Agent Builder, an AI Agent development platform that synchronizes code and visual interfaces in real time. The release enables technical and non-technical, particularly those in for customer experience, go-to-market and operations teams, to collaboratively build, edit, and deploy AI chat assistants and workflows without sacrificing flexibility or control.

With Inkeep’s two-way sync between its TypeScript SDK and drag-and-drop visual editor, teams can seamlessly switch between coding and visual editing modes. Developers can build and deploy using code, while operations, marketing, or support teams can refine agents visually – all without version conflicts or vendor lock-in.

“We wanted the accessibility of no-code tools like Zapier, but with the power and developer experience of frameworks like LangGraph or Mastra,” said Nick Gomez, Co-founder of Inkeep. “By unifying both worlds, teams can scale AI adoption across roles on a single platform.”

Also Read: Memgraph to Offer a Unique Toolkit for Non-Graph Users to Jumpstart Their Journey to Full GraphRAG AI Capability

How It Works

  1. Build AI chat assistants or workflows using the Inkeep TypeScript SDK.
  2. Push changes made in code to the visual builder using the CLI (inkeep push).
  3. Edit collaboratively in the visual builder or hand off to non-technical teammates.
  4. Pull changes back into code (inkeep pull) to continue development.

Open and Interoperable by Design

Inkeep’s Agent Builder is built on open protocols for maximum flexibility:

  • MCP endpoint for use with Cursor, Claude, and ChatGPT.
  • Chat UI React library for building rich, interactive interfaces.
  • API endpoint compatible with the Vercel AI SDK useChat hook.
  • Agent-to-Agent (A2A) interoperability with other ecosystems.

The SDK and visual builder share a common underlying representation, ensuring true sync and version consistency. Inkeep’s CLI orchestrates communication between both layers using TypeScript and LLM-powered code translation.

“We’re excited to see how teams use Inkeep to bridge the gap between devs and business users,” added Nick Gomez. “Our mission is to make building intelligent, collaborative agents as natural as building a modern web app.”

SOURCE: Businesswire

Vasion welcomes Cindy White, cybersecurity expert as new Chief Marketing Officer

Vasion, a pioneer in serverless printing and AI-powered automation, announced the appointment of Cindy White as Chief Marketing Officer , effective October 2025.

As organizations accelerate their cloud transition, Vasion is redefining what’s possible in the print and process automation landscape. Vasion empowers tens of thousands of global customers to begin intelligent printing and the transition to print intelligence, reducing friction, costs, and risks in critical print environments to enable them to make faster progress with secure, cloud-native, AI-powered solutions.

“Cindy White’s global expertise and proven ability to scale marketing organizations in both direct and partner-centric go-to-market environments will be critical as Vasion continues to build its leadership in intelligent print automation,” said Ryan Wedig , CEO and co-founder of Vasion. “Her track record with publicly traded technology innovators and her deep understanding of how to build brands that drive measurable growth make her a tremendous asset to our leadership team.”

Also Read: Innovid Launches AI Agents & Innovid Orchestrator, A Transformational Leap for the Agentic AI Era of Advertising

Cindy White brings more than 25 years of experience leading high-performing marketing teams at global technology companies such as Microsoft, FICO, and Mitek Systems. Her work has encompassed the transformation of SaaS, cybersecurity, and automation markets, helping businesses and sales partners worldwide achieve business impact through digital innovation.

“I’m incredibly impressed by Vasion’s vision and dynamism,” said Cindy White. “Digital is the great equalizer, and Vasion demonstrates how intelligent innovation can break down barriers and enable transformation for any organization—regardless of size or resources. I’m excited about what’s next and ready to take the lead at a time when marketing plays a more connected and critical role in driving growth.”

Formerly known as PrinterLogic, Vasion has evolved into a platform company driving the modernization of print and process automation across industries. The company’s solutions eliminate outdated infrastructure, simplify IT operations management, and unlock new value through intelligent automation-empowering customers to confidently move toward a seamless digital future.

SOURCE: Businesswire

How AI is pushing partnership marketing to new levels of power and performance

AI is changing the way we interact with businesses through chatbots; helping advance medical and healthcare science; and even translating dog vocalisations (or barks) into English.

Everywhere you look, AI is making its presence felt, and that includes partnership marketing. One of AI’s real strengths is its ability to process vast quantities of data at lighting speed to granular levels. This is making it an extremely potent tool in the space, and the most innovative platforms are harnessing its power to tackle some of the industry’s biggest challenges.

These include pain points surrounding adoption, performance, usability and analysis. Increasingly, AI is also helping brands capitalise on the disruption that large language models (LLMs) such as ChatGPT are bringing to the digital advertising industry.

As a result, AI is making partnership marketing more efficient and effective than ever. It is facilitating digital ad campaigns with greater scale and performance than previously possible, and cementing partnerships as one of the most exciting, dynamic and powerful forms of digital marketing.

Flattening the learning curve

Partnership platforms are powerful, innovative and crammed with advanced technology. The risk is that the complexity, alongside the sheer number of features a platform offers, can make it intimidating to use and hard to leverage to their best potential. The result? Marketers decide that communicating, commissioning and contracting partners is just too much effort.

Fragmented workflows exacerbate this issue, especially if a range of partnership marketing products are involved. If this is the case, overall performance can be hard to measure and understand accurately, negatively impacting campaign performance, analysis, future optimisation and strategy.

One such solution are AI-powered conversational interfaces such as chatbots or assistants that make it quick and easy for users (who might not be particularly technical) to engage the platform’s features, simultaneously reducing in-platform time.

AI assistants can recommend potential partners, generate contracts, produce measurement reports and generally reduce workflow around administrative tasks, allowing advertisers to focus their attention elsewhere.

Partner discovery and commissioning

Success in the partnership space is defined by a brand being able to find the right partners. Get the correct mix of creators, B2B partners or affiliates, and you’re on your way to building a successful programme.

In recent years, various automation tools have made it faster and easier for marketers to discover the right partners, but AI is really accelerating what’s possible. Whereas this process was once largely manual, search-based and time-consuming, AI can now recommend appropriate partners for a brand to work with. This allows marketers to scale their campaigns automatically, while keeping a vice-like grip on partner quality. Both contribute to increasing campaign performance.

Commissioning and contracting partners has always been something of a manual bottleneck for marketers. Agreeing rates and terms with hundreds of partners is a time-consuming, resource-intensive process. Again, AI is changing that, automating and agreeing contracts with partners and tying terms into a brand’s programme goals. Even more impressive is that AI can take this a step further, and benchmark commission rates to suggest adjustments to a partner’s contract in real-time based on their performance.

Partner analysis and insights

AI is transforming campaign analysis, and the level of insight available to marketers. Many platforms out there can report on how a campaign has performed… yet won’t provide a full picture of why it has performed a certain way, and how to react in shaping future strategy.

AI is changing that to provide granular, aggregated reporting that now includes detailed insights that interpret results. For example, AI widgets will tell you why a metric changed, or suggest action to reverse an unwanted trend. The most advanced solutions – like impact.com – can even scout for context external to the platform, such as trends and industry benchmarks, to enrich analysis and insight.

Also Read: The CMO’s Guide to Martech ROI: Measuring What Truly Matters

As its influence expands, understanding how your partnerships affect your brand’s perception on social media is increasingly important. This is an area where AI social listening has the power to deliver unique insight, and is even being used to understand how competitor brands are performing, helping your creator partners understand the impact of their content.

In tandem, partner content is also a key driver of LLM mentions and sentiment. Partnership platforms that extend their social listening experience and technology into the chat space offer unique insight helping brands and partners understand how they are being ‘spoken about’ within these new consumer facing tools.

Generative AI, Agentic Commerce, and ChatGPT are as much industry disruptors as they are technologies. In addition to the intelligence and automation being built into solutions like impact.com, platforms are focussing on tools to allow brands and partners to track, measure, and engage with LLMs as consumer facing applications. Early betas include tools for brands to understand chat sentiment and mentions, engage with AI applications through unique offers and content, and content authenticity verification.

As AI’s power and potential is realised, partnership platforms are deploying it to create AI-assisted experiences through agents, contextual intelligence and integrated automation. This makes partnership solutions easier to use than ever, more intelligent, and faster to act, driving performance while tackling some of the industry’s thorniest challenges

The CMO’s Guide to Martech ROI: Measuring What Truly Matters

Marketers today are running digital Franken stacks. Ten, sometimes twenty tools stitched together, all flashing dashboards and half-truths. It looks powerful from the outside, but inside it’s chaos. Everyone’s chasing metrics that look good in a slide deck like open rates, impressions, or engagement curves, while the CFO stares at the P&L and sees nothing that proves growth.

That’s the uncomfortable truth. Most martech ROI stories stop at activity, not impact. They measure motion, not momentum. The real question isn’t ‘Did the campaign perform?’ It’s ‘Did it make or save money?’

To fix that, marketing needs a new discipline. This guide breaks down a four-step methodology that connects Martech investments directly to business growth metrics like revenue, CAC, and LTV. Because the CMO who masters ROI doesn’t just defend budgets, they earn a seat at the revenue table.

Building the Bridge Between Martech and the P&L

The CMO’s Guide to Martech ROI: Measuring What Truly MattersLet’s be honest, most marketing teams still get lost in dashboards that look impressive but tell you nothing about business growth. ‘Engagement up 20%’ sounds great in a meeting, but the CFO doesn’t care unless that number ties to revenue, cost, or customer value. That’s where the shift begins. Every martech investment needs to pass the ‘So what?’ test. So what if the campaign got clicks? Did it reduce CAC, grow CLV, or speed up deal closures? If not, it’s activity, not impact.

To make this connection real, start with structure. Split your martech stack into three clean pillars: Acquisition tools like CDPs or attribution platforms, Engagement systems like CRMs or automation tools, and Measurement layers like BI and analytics. Then assign owners for data quality in each area. When no one owns the data, everyone blames the tool.

Now here’s the catch. Vanity metrics are seductive. A high click-through rate looks good in reports, but it’s not cash flow. Social likes don’t pay salaries. What matters is how these signals lead to actual sales or lifetime value growth. Interestingly, HubSpot’s 2025 State of Marketing report found that 91% of marketers plan to maintain or increase investment in podcasts and audio content this year. Why? Because they’re learning that attention is only worth something when it drives trust and, eventually, transactions.

The message is clear. Stop treating martech like decoration. Treat it like an engine wired directly into the P&L, where every tool and metric earns its seat by proving business value.

The Four-Step Methodology for Calculating Martech ROI

Let’s stop pretending that martech ROI is some mythical number you calculate once a year. It’s a live pulse that needs structure, clarity, and a little brutal honesty. This four-step approach keeps it real and measurable.

Step 1. Know Your True Cost

Most teams think their martech cost equals the license fee. That’s cute but incomplete. True Total Cost of Ownership (TCO) stacks up the license, implementation, integrations, and the human capital behind it like training, salaries, maintenance, everything. Group these costs by business process, not vendor.

For example, ‘Lead Nurturing Stack’ instead of five random tools. Finance and IT must sit at that table; without them, you’re just guessing. Interestingly, Statista’s Content Marketing Trends 2025 report notes that 81% of marketers prioritize AI and 77% focus on content personalization. Translation: personalization costs real money, and you’d better know what part of that investment actually pays off.

Step 2. Connect Activity to Impact

Metrics like click rate or session time may look good, but they don’t pay the bills. Build a direct chain from martech activity to business outcome. For instance, Personalized Email Open Rate → SQL Rate → Pipeline Revenue.

That’s your cause and effect. Adobe’s AI and Digital Trends 2025 found that 78% of customers want consistent brand experiences, which means fragmented data and mismatched messaging directly hit revenue.

Also Read: Martech 2026: Leadership Lessons from Industry Pioneers

Remember the split: Performance metrics (CTR, conversions) show effort; Impact metrics (Revenue, Margin, CLV) prove value. Martech ROI lives in that second camp. And if your dashboard doesn’t show that connection, you’re managing activity, not growth.

Step 3. Fix Attribution and Data Health

If you’re still running last-touch attribution, you’re reading your story backward. Multi-touch attribution models such as W-shaped or U-shaped tell the truth about influence across awareness, consideration, and decision. Each touchpoint deserves credit where it’s due.

Google’s Marketing Live 2025 revealed that over five trillion searches happen yearly, powered increasingly by AI-driven tools. That’s a reminder: scale without structure is chaos. Data accuracy is the oxygen of ROI. Without a single source of truth, your ROI math collapses. So standardize everything like naming conventions, UTM tags, and channel identifiers.

Make sure analytics, CRM, and automation platforms speak the same language. When the data is clean, you stop arguing about whose number is ‘right’ and start talking about what actually drives profit.

Step 4. Calculate and Decide with Courage

Here’s where all the data, debates, and dashboards finally pay off. The martech ROI formula is simple enough:

ROI = (Total Revenue Increase Attributable to Martech – Martech TCO) / Martech TCO × 100.

That number isn’t just a percentage; it’s a verdict on your stack’s real impact.

Then comes the decision matrix:

High ROI means double down. Scale the investment and push the tool deeper into core operations.

Neutral or Low ROI signals a problem in execution. Fix the process, retrain teams, or align strategy before blaming the tech.

Negative ROI is your cue to cut losses. Decommission it, reduce clutter, and redirect the spend toward tools that move revenue.

McKinsey’s State of AI 2025 shows that companies are finally translating Gen AI into real bottom-line value instead of just experiments. That’s the benchmark. Every martech tool must prove its place on the P&L, not just on a marketing slide. When the math tells the truth, decision making becomes ruthless, clear, and growth focused, the way leadership should be.

Beyond the Math the Human Side of Martech ROI

Numbers might show you what’s working, but people and processes decide whether those numbers ever move. ROI isn’t a spreadsheet exercise. It’s a living, breathing cycle that demands constant tuning and leadership that refuses to run on autopilot.

The Martech Optimization Loop

ROI measurement is not an annual audit. It’s a loop: measure, analyze, optimize, scale, or shut it down. The best teams treat it like muscle memory. Every campaign, workflow, and automation goes through its own A/B testing to prove incremental value. That’s how you separate shiny tools from actual growth engines. Marketing leaders who keep this loop tight never wake up to ‘tool fatigue’ because underperformers are caught early and cleaned out fast.

The Power of Training and Adoption

Here’s the harsh truth. The most advanced platform in your stack is useless if your team doesn’t know how to use it properly. Training and adoption aren’t side projects; they are ROI multipliers. A well-trained team extracts every drop of value from the tools they already own. Many high-performing organizations now appoint a dedicated Martech Champion or Operations Lead to bridge the gap between strategy and execution. They make sure every tool serves a purpose, every dashboard tells the truth, and every workflow ties back to the P&L.

Future-Proofing the Stack

Now we enter the AI chapter. Generative capabilities are rewriting how campaigns are built, optimized, and personalized. But the rule stays the same. No matter how futuristic a tool sounds, if it doesn’t drive measurable business outcomes, it doesn’t earn its spot in the stack. The future belongs to CMOs who balance curiosity with accountability, who experiment boldly but measure ruthlessly. Martech ROI isn’t about tools. It’s about discipline, clarity, and the courage to keep evolving before the market forces you to.

Measurement as a Competitive Advantage

The CMO’s Guide to Martech ROI: Measuring What Truly MattersAt this point, the path is clear. True martech ROI isn’t about counting clicks or showing busy dashboards. It’s about tracing every dollar of investment back to growth. The four-step framework keeps it grounded: know your Total Cost of Ownership, align martech activity to business outcomes, fix attribution and data health, and calculate ROI with the courage to act on it.

The real edge comes when measurement becomes part of your culture, not your quarter-end panic. In a noisy, AI-fueled market, the leaders aren’t the ones with the biggest stacks. They’re the ones who know exactly what every tool is worth. Treat measurement as your strategy, not your homework. The CMO who masters martech ROI doesn’t just defend a budget, but they shape revenue, drive clarity, and lead the business conversation from the front.

Wondershare Launches Filmora V15, Redefining Video Creation

Wondershare has launched Filmora V15, its latest video-editing platform. This version features advanced AI tools and an improved workflow. It targets professionals, creators, and brands. Filmora V15 offers exciting new capabilities. Users can access AI video generation, smart object removal, dual-timeline editing, and animated chart creation. These tools allow users to turn ideas into polished videos faster than ever.

What’s New in Filmora V15

Filmora V15 offers key upgrades that align with the growing trend of smart tools in content creation.

  • AI Extend: Easily extend video and audio clips on the timeline. AI helps predict motion and keeps everything smooth.

  • Smart Cutout / Object Remover: Easily remove unwanted backgrounds, objects, or people. Upgraded AI models provide cleaner results.

  • Pen Tool & Animated Charts: Creators can easily draw motion paths. They can also turn data into animated charts with just one click. This feature is made for impact and storytelling.

  • Dual-Timeline Editing & Import Sub-projects: These updates make editing complex projects easier. They are perfect for brands, agencies, and marketing teams handling many campaigns.

  • AI Workflow from Idea to Output: This version is made for both editing and ideation. It changes text, audio, or image prompts into finished video assets.

These updates build a smooth, efficient creative platform. It meets the needs of today’s fast-paced content marketing world.

Impact on the Content Marketing Industry

In content marketing, video is key. Filmora V15 brings new features that will change how brands, agencies, and creators make and share content.

Accelerated Production & Scale

AI-driven tools help marketing teams create more assets quickly and efficiently. Filmora V15 helps you turn long videos into social clips quickly. You can also create different versions for specific regions. This makes your workflow faster and more scalable.

Democratization of Creative Power

AI object removal and easy chart animation let teams make professional-quality videos. They can do this even without advanced editing skills. This helps smaller brands and in-house teams run their own campaigns. It also makes them more affordable.

Also Read: BigPanda Acquires Velocity to Advance Agentic IT Operations

Richer Storytelling & Data-Driven Visuals

You can import data and create animated visuals in the editing tool. This feature enhances storytelling in content marketing. Marketing teams can share KPIs, campaign results, and insights using engaging videos.

Integration into Marketing Workflows

Filmora V15’s dual-timeline and sub-project import features help teams work together quickly. This is important as digital campaigns need fast changes across different channels and formats. This helps marketing operations manage asset variants, languages, and region-specific edits more clearly.

Strategic Advantage for Agencies & Brands

Agencies that adopt Filmora V15 early can run quicker, cheaper video campaigns. This boosts their service offerings. Brands that use these tools in their martech stack can quickly adjust to market changes, customer feedback, and campaign results. This leads to greater creative flexibility.

Effects on Businesses Operating in the Content-Marketing Ecosystem

For businesses, agencies, and creators in content marketing, this launch has important effects:

Operational Benefits:

  • Faster production timelines: Teams can go from idea to finish quickly. This allows for more campaigns and testing.

  • Reduce reliance on outside vendors: In-house teams enjoy creative freedom. They have better control over budgets and can respond more quickly.

  • Improved asset management: Sub-project import and dual-timeline editing help manage complex workflows better. This works across various formats, languages, and platforms.

Strategic Advantages:

  • Competitive differentiation: Brands that quickly make great video content will stand out in crowded digital spaces.

  • Better ROI: Animated chart tools speed up production and improve tracking. This boosts content performance and reduces waste.

  • Flexibility for global execution: Localizing content, such as edits, assets, and language, helps global brands succeed in various markets.

Challenges & Considerations:

  • Skill shift: Even with easy-to-use tools, teams must adopt new workflows. They will need to focus on prompt-engineering and managing different asset variants.

  • Governance and Brand Consistency: The team can be creative. But, it’s key to stick to brand standards, messaging, and quality control.

  • Integration with the broader martech stack: Video tools are only one piece of the content puzzle. Make sure assets move smoothly into CMS, DAM, analytics, and distribution platforms.

Looking Ahead: What Content-Marketers Should Do

  • Audit your video workflow. Find bottlenecks. How many edits, variants, or formats does one campaign need? Where is time lost?

  • Pilot Filmora V15 for key campaigns. Use its AI tools for urgent tasks, like product launches and seasonal promotions. Measure how quickly you hit the market and track the number of asset variants.

  • Align creative tools with data insights. Use animated charts to showcase performance data. This links content metrics to business outcomes in your visual storytelling.

  • Train your team on new workflows. Offer training in prompt design for video generation, variant management, and asset-tracking systems. This will help everyone make the most of the new capabilities.

  • Ensure governance and brand consistency. Set up review workflows and brand-asset libraries. Use variant controls to keep quality high as production speeds up.

Conclusion

Wondershare‘s launch of Filmora V15 signifies a new chapter in video creation. AI, efficiency, and creative flexibility unite to meet today’s content marketing needs. Marketing teams, agencies, and creators can excel by swiftly producing high-quality, data-driven videos.

Video is vital in digital communication. Tools that provide speed and sophistication will help brands shine. With Filmora V15, content marketers can turn ideas into reality. It’s faster, smarter, and allows for larger-scale projects than ever before.

DIRECTV Advertising Unveils Elect, AI CTV Political Platform

DIRECTV Advertising has introduced DIRECTV Elect, an AI-powered digital platform designed to help political advertisers effectively reach and engage Connected TV (CTV) audiences. Leveraging DIRECTV’s pioneering expertise in linear addressable advertising through D2 Media Sales, the new platform extends that capability to streaming, offering access to inventory across DIRECTV and national cable networks that reach over 130 million monthly active users. “AI is redefining how political campaigns discover and engage with voters, helping unlock deeper insights and more effective connections,” said Amy Leifer, Chief Advertising Sales Officer at DIRECTV Advertising, emphasizing how the platform merges the trust of television with digital precision and AI intelligence through DIRECTV Advantage, the company’s proprietary data suite.

Also Read: Life360 Acquires Nativo to Strengthen Family-Focused Advertising Capabilities

DIRECTV Elect harnesses Large Language Model (LLM)-based AI to analyze millions of voter data points-from social media activity and news to donation patterns and voting behavior-to inform campaign strategies and optimize targeting by zip code, district, and state. Drew Groner, SVP and Head of Sales and Marketing for DIRECTV Advertising, noted that campaigns are increasingly using live sports programming to reach undecided and battleground-state voters, an area where DIRECTV Elect provides unmatched CTV access and actionable voter insights.

Read More: DIRECTV Advertising Launches DIRECTV Elect, An AI-Digital Platform for CTV Political Advertising

EngageLab Expands with Turkey Data Center to Boost Global Service

EngageLab, a global leader in AI-driven omnichannel customer engagement and marketing technology, announced the launch of its new data center in Istanbul, Turkey, further strengthening its global infrastructure and enabling faster, more reliable email communication for international enterprises. The addition of the Istanbul facility completes EngageLab’s “dual data center + multi-node” global network, which includes core data centers in Istanbul and Singapore and eight major service nodes across Frankfurt, Los Angeles, Silicon Valley, Mumbai, Hong Kong, and Shanghai, among others. This expansion speeds up local email delivery and lowers latency.

Also Read: Crest Data Earns AWS Ops Competency and Launches Migration Service

It also greatly improves transmission efficiency in Europe, Asia, and Africa. EngageLab Email helps businesses create content using AI. It offers over 100 premium templates for all marketing stages. The easy drag-and-drop editor and inbox preview ensure great performance across platforms. The platform includes advanced BIMI certification, dedicated IP environments, and authentication protocols. These protocols are DKIM, SPF, and DMARC. They work together to boost deliverability and build brand trust. Also, its smart warm-up system gets 99% inbox placement. Data-driven segmentation and real-time journey tracking provide insights that enhance campaign ROI and engagement.

Read More: EngageLab Email Expands Global Footprint with New Turkey Data Center 

Consensus and Trupeer Launch AI Video Content for Product Demos

Consensus, the global leader in Demo Automation, is thrilled to announce AI Video Content powered by Trupeer. This new integration brings top-quality video production to the Consensus AI Content Studio. Market launch squads can quickly create product previews, onboarding materials, and technical files.

With AI Video Content, users can quickly make high-quality product videos. Just record your screen, and you’re done in minutes. The tool automates the whole production process. It handles everything from refining scripts to voiceovers and post-editing. This means no more need for manual methods.

This new feature boosts scripts and creates natural-sounding AI voiceovers. It adds avatars, cuts background noise, and improves visuals. It translates videos into many languages. It also creates branded, step-by-step documentation. This cuts down tasks that once took hours or days into a smooth, automated process.

Also Read: OpenText Expands SAP Collaboration for AI-Ready Cloud Content

“Our partnership with Trupeer is a game-changer for content creation,” said Adam Freeman, SVP of Global Partnerships & Strategic Alliances at Consensus. “By integrating their AI-powered capabilities into the Consensus platform, we are giving our customers the tools to create professional, high-impact demos quickly and effortlessly, helping them accelerate deal cycles and close bigger wins.”

Pritish Gupta, Co-Founder of Trupeer, added, “We are thrilled to power AI Video Content within Consensus. This partnership amplifies our mission to make video creation seamless, accessible, and impactful. Together, we’re helping teams create professional-grade content faster than ever before.”

Redefining the Future of Demo Automation

AI Video Content launch boosts Consensus as the leading Demo Automation Platform. It helps organizations create personalized buyer experiences without straining sales teams. Consensus connects demo automation, sales enablement, and content personalization with AI-driven video creation. This helps teams share clear messages that align with the brand at every stage of the buyer journey.

M-Files Launches Workspaces for Context-First Document Management

M-Files, the leader in context-first document management, announced the launch of M-Files Workspaces, a groundbreaking innovation that redefines how organizations manage, connect, and understand their information in the era of artificial intelligence.

Workspaces, based on M-Files’ context-first architecture, is a flexible business app. It makes the user experience easier. All related documents, projects, and stakeholders are in one view. This makes work smarter, faster, and easier. Information is stored here and linked to people, projects, and processes that add value.

M-Files Workspaces stands out from traditional document repositories. It offers a smart, unified experience that helps employees. This boosts compliance and improves how operations run.

Managing Information Overload with Context-Driven Intelligence

Today, businesses face information overload. Data gets trapped in disconnected systems. Documents often get lost in silos. Also, crucial knowledge may only be in employees’ minds. Generative AI is now common in daily work. However, this can slow decision-making and hurt productivity.

Also Read: StackAdapt and iHeartMedia Bring Radio to Programmatic Ads

M-Files Workspaces solves this problem by matching how organizations work. It connects people, processes, and projects to build a smart, context-driven framework. Employees can skip manual searches through many folders. Instead, they can focus on what matters most-like a client, project, or process. This way, they quickly find all related documents and activities in one easy-to-use interface.

The result: faster decisions, enhanced compliance, and measurable productivity gains.

“With M-Files Workspaces, we expect to significantly reduce the time our busy experts spend searching for information,” said Mikko Pippuri, Digital Ninja at Berggren. “We’re looking ahead to a future of complete visibility into our clients, cases and their due dates, where decisions happen faster, errors are minimized, and collaboration feels effortless.”