Qlik has secured a Leader position in the IDC MarketScape: Worldwide Data Integration Software Platforms, 2025 Vendor Assessment, marking a strong validation of its strategy as enterprises race toward real-time, AI-ready data ecosystems. The recognition highlights a clear industry shift: data teams no longer want just faster ingestion or cleaner pipelines—they want both, without locking themselves into a rigid cloud stack.

The IDC report points to growing demand for real-time change data capture, governed self-service access, visible data lineage, and AI-infused workflows. Qlik argues its unified platform delivers all of these while staying cloud-agnostic, a competitive advantage as enterprises rethink their architectures for a hybrid world.

Real-Time Data, Zero Lock-In

“Data leaders want two outcomes at once—make trusted data available faster and keep architectures open,” said Drew Clarke, EVP of Product & Technology at Qlik. The company positions itself at this intersection with a platform that blends streaming ingestion, ELT/ETL, catalog-led governance, and built-in AI tools.

Unlike platforms tied to a single cloud ecosystem, Qlik supports AWS, Azure, Google Cloud, and client-managed deployments equally. This flexibility increasingly matters as teams diversify workloads and avoid single vendor dependence.

AI Hits the Data Engineering Workflow

The IDC assessment also highlights Qlik’s agentic and generative AI assistance, embedded directly inside data engineering tasks. Instead of bolt-on AI features, Qlik integrates intelligence within the pipeline, offering:

• Prompt-to-SQL generation

• Context-aware rule suggestions

• Automated documentation

• API contract guidance

• Support for vectorization and RAG pipelines

• Integrations with LLMs and vector databases

These capabilities push Qlik deeper into AI-enabled data ops—a space heating up fast as enterprises lean on automation to stay competitive.

Catalyst for the Open Lakehouse Era

Qlik’s backing of Apache Iceberg stands out, aligning with a broader market movement toward open table formats. The platform supports Iceberg ingestion, optimization, compaction, and hybrid patterns that bridge old environments with modern lakehouse architectures. Its roadmap includes more in-flight transformations and expanded cross-cloud operability, signaling continued investment in openness.

Industry analysts see this as a differentiator. Stewart Bond, VP of Data Intelligence and Integration Software Research at IDC, noted that real-time, hybrid, multi-cloud capabilities are becoming defining factors in enterprise data modernization. Qlik’s placement as a Leader,, he added, reflects its momentum in delivering “trusted, governed, and AI-ready data pipelines.”

Customer Validation From the Front Lines

Enterprises already moving toward real-time operations say Qlik delivers measurable impact. “Qlik lets our teams move data continuously and make it usable with policy we can see,” said Colton Porter, Manager of Advanced Planning Systems at MillerKnoll.

He emphasized that engineers and analysts now operate from shared products with clear lineage and quality, modernize to Iceberg without friction, and use embedded AI to validate and improve pipelines. It’s a practical approach, he said, to accelerate analytics and AI “without trading away governance.”

Why This Matters

Qlik’s recognition comes at a moment when the data integration market is undergoing rapid transformation. Vendors are racing to combine:

• Real-time data movement

• End-to-end governance

• Open standards

• AI-native design

• Hybrid cloud freedom

Few platforms check all the boxes. Qlik’s strategy—centered on flexibility, openness, and embedded AI—positions it as a strong contender as enterprises re-architect for the next generation of data and AI workloads.

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6sense has introduced the most transformative update in its history. The company unveiled RevvyAI, a next-generation intelligence layer designed to serve as a central command center for the entire go-to-market engine. With this launch, 6sense shifts from being a data-driven orchestration platform to becoming the operational nervous system for modern revenue teams.

RevvyAI marks a significant moment for GTM technology. AI adoption has accelerated across sales, marketing, and revenue operations, yet teams still fight fragmented data, slow workflows, and limited visibility. RevvyAI targets these gaps with a unified AI partner that helps teams move faster, prioritize smarter, and focus on actions that drive measurable revenue.

A New AI Experience for Revenue Teams

RevvyAI reshapes how users interact with the 6sense platform. At the core is a conversational experience that removes the friction of traditional dashboard navigation. Users can launch campaigns, tune signals, build audiences, or generate reports by simply describing what they want. The interface interprets intent, guides decisions, and reveals insights that would otherwise stay buried.

This shift matters. Most GTM platforms claim automation, yet many still require complex workflows and manual setup. RevvyAI compresses those steps with natural-language execution. As a result, even non-technical teams can deploy advanced plays without relying heavily on operations support.

Specialized Agents Built for Every GTM Motion

RevvyAI introduces a set of always-on AI agents built to support core revenue functions. Each agent focuses on a different slice of the funnel, offering deeper analysis and hands-off execution.

The Ad Campaign Companion evaluates performance data and designs new campaigns that improve efficiency. It optimizes spend, highlights gaps, and identifies better targeting opportunities based on real buying behavior.

The Keyword Advisor monitors search and campaign data in real time. It identifies emerging patterns, recommending new keyword and content strategies as buyer interests shift. This agent acts as a dynamic SEO engine that evolves with demand signals.

The 6QA Analyst evaluates qualification criteria, buying signals, and pipeline activity. It surfaces next-best actions for sales and marketing teams, reducing the busywork of manual analysis and bringing clarity to prioritization.

Together, these agents deliver a coordinated assistive layer that helps teams adapt quickly, uncover new opportunities, and reduce operational drag.

Custom Workspaces Designed for How Teams Work

Another major upgrade is the addition of Persona-based Agentic Workspaces. These workspaces allow organizations to tailor the platform for specific roles. Sales teams can unify agents, signals, and workflows aligned to outreach and pipeline acceleration. Marketing teams can group data sources, AI assistants, and reporting tools to support campaign execution.

This flexibility reflects a broader industry trend. GTM platforms are moving away from one-size-fits-all dashboards and shifting toward curated environments that support specialized motions. RevvyAI aligns with this movement by providing modular, role-aware interfaces.

Reinventing GTM Execution with Transparency and Control

RevvyAI arrives alongside several platform upgrades aimed at improving visibility and governance across GTM operations. These updates expand the breadth of signals, improve predictive scoring, automate inbound traffic qualification, and enhance sales intelligence.

Signal Expansion introduces configurable signals, prompt-based discovery, buying group objects, and new data sources. Teams gain a clearer picture of who is in market and why.

Customizable and Transparent Scoring provides deeper explainability around predictive models. Users can now understand the “why” behind recommendations and refine scoring logic to match their unique processes.

Workflow Intelligence brings prompt-driven nodes, partner extensions, and event-based triggers. These improvements help teams build more adaptive workflows that respond to real-time behavior rather than static rules.

Agentic-led Inbound takes aim at conversion inefficiencies. The platform identifies, qualifies, and routes buyers automatically, turning website traffic into meetings with minimal manual intervention.

Lastly, 6sense has added Sales Intelligence Enhancements that layer RevvyAI insight into every touchpoint. Teams receive contextual summaries, improved accuracy, and deeper recommendations across contacts, opportunities, and segments.

A Significant Step Forward in the GTM AI Race

RevvyAI represents more than a product release. It marks 6sense’s move toward a more expansive role as a GTM operating system built around agentic AI. The timing aligns with a broader market shift. B2B companies are pushing for efficiency, clarity, and predictable growth. They want AI-driven precision without losing strategic control.

Chris Ball, 6sense CEO, highlights this tension. Revenue leaders must prove both efficiency and growth. RevvyAI aims to deliver both by compressing execution time and improving pipeline quality.

Competition in the GTM AI space is rising quickly. Rivals are investing in autonomous agents, dynamic scoring, and real-time intelligence. However, 6sense’s ability to pair these innovations with existing intent data and orchestration capabilities gives it a notable advantage. The platform already sits at the center of many enterprise revenue stacks, making RevvyAI an upgrade rather than a replacement.

Early Access Begins at Breakthrough 2025

Attendees at Breakthrough 2025 in Las Vegas will get the first look at RevvyAI. Early users will test conversational workflows, evaluate agents, and preview deeper AI connections across the platform. The rollout signals a new chapter for 6sense as it moves toward a more automated, agentic GTM model.

The introduction of RevvyAI underscores a simple reality. Revenue teams need more than dashboards. They need strategic intelligence, faster decision cycles, and AI that can handle the operational weight. RevvyAI brings that vision closer, offering a glimpse of what fully AI-driven GTM execution could look like in the coming years.

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Bloomreach is giving product-listing pages a much-needed upgrade. The company unveiled Personalized Media in-Grid, a new capability that transforms traditional product grids into dynamic storytelling environments. Instead of static rows of items, retailers can now weave videos, buying guides, promotions, and intelligent recommendations directly into the browsing experience.

The update builds on Bloomreach Discovery, the company's AI search solution, and extends the platform’s connected value across marketing and conversational commerce. The result is a more fluid, contextual shopping journey that merges discovery, education, and personalization—without adding engineering overhead.

This release arrives as retailers push for higher engagement and more curated online experiences. Product-listing pages still generate massive traffic, but most remain functional rather than persuasive. Bloomreach sees this as untapped real estate for narrative-driven commerce.

Turning Grids Into Guided Experiences

Personalized Media in-Grid allows merchandisers to place rich content between search results and category listings. Instead of forcing shoppers to leave the grid to learn more, retailers can surface videos, how-to guides, seasonal themes, and cross-sell prompts right where decisions happen.

Jordan Roper, GM and VP of Product for Bloomreach Discovery, says the goal is simple: give retailers a way to turn every scroll into a moment of relevance. Today’s shopping journey blends inspiration with intent, and the new feature helps retailers meet shoppers with content that informs and nudges purchase decisions.

Built for Scale — Without Extra Engineering

Bloomreach’s approach prioritizes usability at scale. Merchandisers can choose the exact slot placement, preview changes in context, and schedule content across categories or queries. After the initial integration, teams can manage the entire experience without additional development support.

This shift matters. Many brands struggle to customize PLPs without constant engineering work. Personalized Media in-Grid brings no-code control to a traditionally rigid surface, allowing marketing and merchandising teams to move faster and test more.

Precision Targeting and Personalization

The new capability connects with Bloomreach Engagement and Bloomreach Clarity, enabling targeted content delivery and conversational experiences. Retailers can tailor messages to specific audiences or trigger personalized recommendations through the platform’s segmentation and AI models.

It’s a move that brings Bloomreach closer to a fully agentic shopping platform—one where AI governs not just search and recommendations, but placement, messaging, and real-time shopper interactions.

Measuring What Matters

Performance tracking is built in through Discovery’s analytics, with extended reporting available in Engagement dashboards. Retailers can assess which content formats drive higher engagement or conversion, giving them clearer insight into how storytelling impacts revenue.

A Strategic Step for Retail AI

With AI reshaping the retail ecosystem, Bloomreach’s update positions product grids as a new frontier for engagement. Rival platforms have layered personalization into recommendation engines, but few have reimagined the grid itself. Personalized Media in-Grid turns this overlooked space into a programmable, adaptive channel — one that blends branding and commerce without interrupting the buying flow.

For retailers seeking stickier PLPs and higher conversion across product-heavy pages, this feature delivers a direct path to more immersive and personalized shopping.

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Previsible is strengthening its position in the fast-shifting world of AI-driven search. The company announced its acquisition of Improove US, an SEO firm founded by former Google Search Quality leader Michael Schwarz. It’s Previsible’s second acquisition this year and a strategic move aimed at building one of the most comprehensive people-centric AI discovery programs in the industry.

The deal brings together three specialized forces. Previsible’s human-centered AI discovery and content engine joins Internet Marketing Ninjas’ authority-building and digital PR strengths, while Improove adds deep eCommerce and algorithm research expertise. Combined, the capabilities form a unified platform designed to help enterprise brands stay discoverable as search behavior undergoes massive transformation.

With AI Overviews, Generative Engine Optimization, and shifting SERP dynamics, discovery now extends far beyond classic rankings. Previsible is betting that the next era of SEO will require a blend of technical depth, human insight, and scalable AI systems.

A Discovery Partner for the AI Era

Previsible positions its team as an embedded extension of its clients’ in-house marketing groups. The company focuses on building authority, strengthening visibility, and producing best-in-class content that adapts to emerging interfaces — from AI summaries to conversational search.

CEO and co-founder Jordan Koene says CMOs increasingly need discovery programs that deliver growth predictably and cost-effectively. According to Koene, the addition of Improove US brings world-class eCommerce expertise, while the integration of Internet Marketing Ninjas supports a more robust authority engine. Previsible is also leaning heavily on AI agents to increase content scale without losing the human insight required for credibility.

Expanding Algorithm Innovation

Improove’s CEO, Lukas Rippitsch, says the company was built on algorithm research and data-driven innovation. Joining forces with Previsible expands that mission. He points to the combined strengths across AI-powered content, analytics, PR, and authoritative link-earning — a mix that’s becoming essential as brands try to navigate new search surfaces.

The acquisition represents a broader industry trend. Traditional SEO firms are shifting into multi-disciplinary discovery partners, blending technical SEO, content intelligence, analytics, and AI-guided optimization. As search moves toward generative interfaces, staying visible depends on more than metadata and rankings. It requires authority signals, structured knowledge, and content designed for machine interpretation.

Positioning for What Comes Next

Previsible’s expanded model aims to meet enterprise demand for discovery strategies that work across AI assistants, search engines, commerce platforms, and social ecosystems. The company expects brands to rely more heavily on hybrid teams that combine human strategy with AI-accelerated execution.

By absorbing Improove US and integrating IMN’s strengths, Previsible is building a platform that addresses the full pipeline — research, authority, content, and AI-ready optimization. The timing is hard to ignore. With AI-generated summaries reshaping what users see first, brands will need multidisciplinary discovery partners who understand both algorithms and audiences.

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Reshift Media, a leading force in digital marketing for franchise brands, has teamed up with Gracie Barra to launch the martial arts organization’s new global website. The collaboration blends franchise marketing expertise with Gracie Barra’s mission to make Brazilian Jiu-Jitsu accessible worldwide.

A Global Hub for Jiu-Jitsu Enthusiasts

Gracie Barra, one of the most recognized names in Jiu-Jitsu, operates over 1,000 schools across North America, Oceania, and South America. Its new website serves as a dynamic global hub, enabling users to discover nearby academies, explore class options, and book training sessions directly online. The streamlined design focuses on accessibility, offering a frictionless experience that connects practitioners with their local communities.

“Gracie Barra is a world-class brand with a powerful community and global reach,” said Steve Buors, co-founder and CEO of Reshift Media. “Their mission is to bring Brazilian Jiu-Jitsu to people everywhere, and this new website delivers on that promise.”

Elevating the Franchise Marketing Experience

Reshift Media’s reputation as a top digital marketing firm for franchises made it the natural choice for Gracie Barra’s digital transformation. The agency has been featured in Entrepreneur Magazine’s list of Top Franchise Suppliers for three consecutive years—a testament to its ability to merge creativity, technology, and strategy.

The firm’s growing list of accolades includes two 2025 Stevie® Awards: a silver for Company of the Year – Advertising, Marketing and PR, and a gold for Marketing Disruptor of the Year. Reshift also played a key role in launching World Franchise Day and redesigning the World Franchise Council website, further cementing its leadership in the franchise marketing landscape.

Driving Growth Through Digital Innovation

“Our claim to fame is how we empower franchise systems through innovative digital strategies,” Buors explained. “Partnering with a respected global brand like Gracie Barra underscores our commitment to excellence and our mission to champion the franchise marketing space.”

The collaboration between Reshift Media and Gracie Barra showcases how strategic digital innovation can unite global communities while advancing brand presence. In an increasingly competitive market, this partnership sets a new benchmark for how digital experiences can amplify brand impact and customer engagement worldwide.

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SuccessKPI, a leader in Generative AI-powered Workforce Engagement Management (WEM), has introduced its Last-Mile Connectivity solution — a major leap toward eliminating the hidden performance issues that undermine contact center efficiency.

As hybrid and remote work continue to define modern customer service operations, the ability to monitor and optimize agent performance across devices and networks has become critical. SuccessKPI’s latest offering directly addresses that challenge, providing real-time visibility into the agent’s desktop, network, headset, and call environment — ensuring a seamless, high-quality experience for both agents and customers.

Tackling the Last-Mile Challenge

“Every customer call depends on what happens at the edge — the agent's network, device, and environment,” said Dave Rennyson, CEO of SuccessKPI. “With our Last-Mile Connectivity solution, operators can uncover the true cause of performance issues, act before customers are impacted, and prevent future disruptions.”

The solution leverages AI-driven analytics to identify and resolve network bottlenecks before they disrupt live calls. Using SuccessKPI’s Playbook Builder™, contact center leaders can set automated responses based on multiple real-time conditions — from packet loss and CPU usage to headset type and browser performance. These insights enable proactive troubleshooting and improve operational resilience.

Unified View for Seamless CX

By consolidating agent performance data into a single dashboard, SuccessKPI empowers managers to maintain continuous oversight and automate corrective actions. Among the solution’s standout capabilities are:

• Real-time streaming of desktop metrics (CPU, memory, OS, and browser).

• Network and device analytics covering Wi-Fi strength, packet loss, headset quality, and audio levels.

• Agent-experience monitoring, including feedback, routing profiles, and queue details.

• Actionable insights and automation, reducing mean-time-to-resolution and improving uptime.

This holistic visibility transforms how contact centers handle performance management, giving operators an accurate, data-rich view of every factor affecting customer interactions.

AI at the Core of Modern CX Operations

SuccessKPI’s Last-Mile Connectivity solution arrives at a pivotal time for contact centers adapting to distributed workforce models. With more agents working remotely, edge-related performance issues have become harder to diagnose — often leading to dropped calls, lagging systems, and frustrated customers.

By combining Generative AI intelligence with end-to-end network transparency, SuccessKPI delivers a proactive layer of control previously missing in the contact center ecosystem. The result: faster problem resolution, empowered agents, and elevated customer experiences.

As Rennyson emphasized, “That level of clarity and action is critical for modern CX operations.”

With its latest launch, SuccessKPI reinforces its position as a trailblazer in AI-driven contact center optimization, giving enterprises the tools to redefine performance standards in an era where every second — and every connection — matters.

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MikMak, the global eCommerce enablement and analytics leader, is rewriting the future of digital commerce with MikMak 3.0—a major upgrade featuring MCP-powered and AI-driven enhancements designed to unify human and agent-driven shopping experiences. The launch introduces conversational insights, a first-of-its-kind feature that lets marketers interact with commerce data through natural language queries.

This evolution positions MikMak as the single source of truth for how people and intelligent systems shop across channels—an increasingly vital capability as brands face a dual audience of human consumers and AI agents shaping purchase decisions.

A New Standard for Intelligent, Agentic Commerce

At the core of MikMak 3.0 is the Model Context Protocol (MCP), a breakthrough framework that allows AI systems and commerce platforms to communicate using a shared language. By standardizing this interaction, MikMak gives brands direct access to agentic commerce—where AI doesn’t just analyze data but acts on it in real time.

MikMak’s enterprise-grade Commerce and Insights APIs already provide over 8,000 retailers with granular data on shopper behavior, pricing, and product availability. MCP turns that infrastructure into an AI-ready foundation, enabling faster optimization, safe experimentation, and full data governance. Brands can now innovate confidently, accelerate attribution, and link every digital touchpoint to measurable business outcomes.

“Today’s most successful brands are the ones turning data into action at the speed of their consumers,” said Rachel Tipograph, Founder and CEO of MikMak. “With these advancements, MikMak transforms commerce data into instant intelligence, helping brands connect insights directly to sales outcomes. This is the next chapter of profitable growth.”

Conversational Insights: Turning Data into Dialogue

Modern marketers drown in dashboards but starve for insight. MikMak’s new conversational insights change that by allowing users to query performance data naturally—asking questions like, “What’s driving growth?” or “Where should we invest next quarter?”

The system instantly generates contextual, narrative-based responses, blending visual analytics with actionable recommendations. This dramatically reduces time-to-insight and gives marketers a faster, clearer path from data to decision.

Powered by over 11 years of commerce data, conversational insights turn MikMak from an analytics platform into a real-time growth partner for global brands.

Smarter Commerce, Seamless Experiences

MikMak 3.0 also introduces upgrades to its Commerce Bundles and Creative MAX Templates, both designed to streamline the path from inspiration to purchase.

• Commerce Bundles: Enable one-click, multi-product shopping experiences that reflect real-world buying behavior, boosting average order value and retailer collaboration.

• Creative MAX Templates: Merge immersive brand storytelling with instant “Where to Buy” overlays, letting audiences engage and convert directly within media environments.

Building on a Year of Rapid Innovation

In 2025, MikMak expanded its AI-driven ecosystem with the Insights API, Headless Commerce API, and new integrations with Pinterest and AccelPay, solidifying its role as the backbone of omnichannel shoppability.

Looking ahead to 2026, MikMak plans to extend its AI-powered operating system to learn from every commerce interaction, strengthen omnichannel attribution, and expand global data partnerships—bridging the gap between marketing influence and measurable sales impact.

With MikMak 3.0, the company isn’t just enhancing eCommerce analytics—it’s redefining the future of intelligent commerce, where AI and human insight converge to drive sustainable, profitable growth.

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