Sapiens International Corporation (NASDAQ: SPNS), a global leader in intelligent SaaS software, has unveiled Decision Analytics, a powerful new module in its Sapiens Decision Platform. The addition aims to help enterprises monitor, analyze, and optimize decision performance in real time—bridging the gap between decision design, deployment, and measurable business impact.

Turning Decision Data into Actionable Intelligence

Decision Analytics captures granular execution data from automated decisions and transforms it into actionable insights. The module connects directly with business intelligence systems, offering a closed-loop view of how decisions are made, why they are made, and how they perform over time.

By organizing every decision outcome and its logic, Decision Analytics empowers users to ask natural-language questions, simulate what-if scenarios, and uncover optimization opportunities—all without deep technical expertise. This marks a shift from reactive reporting to predictive, data-driven decision-making.

Building the Foundation for OptimizeAI

Decision Analytics also lays the groundwork for OptimizeAI, an upcoming extension that will introduce predictive and prescriptive optimization capabilities. This evolution will allow enterprises to move from manual fine-tuning to semi-autonomous decision improvement, accelerating their ability to adapt to market shifts and internal performance data.

“Decision Analytics brings visibility and confidence to every automated decision,” said Roni Al-Dor, CEO and President of Sapiens. “It enables organizations to understand how and why systems make decisions—and to refine them with precision. This level of explainability and control is critical for responsible AI adoption.”

A Milestone in Sapiens’ AI Roadmap

The launch marks a significant step in Sapiens’ expanding AI ecosystem. Combined with ModelAI—which assists in AI-driven decision modeling—and IntegrateAI, which embeds machine learning into declarative decisions, Decision Analytics completes a powerful triad.

Together, these modules allow enterprises to author, enrich, and refine decision logic continuously, creating a self-improving framework for intelligent automation. “With Decision Analytics,” Al-Dor added, “our customers gain faster, smarter, and more adaptive business outcomes powered by responsible AI.”

Elevating Enterprise Decisioning Standards

Recognized as a Leader in The Forrester Wave™: AI Decisioning Platforms, Q2 2025, Sapiens Decision continues to set benchmarks for how organizations design, deploy, and govern automated decisions.

By merging decision modeling, analytics, and AI, the platform transforms static workflows into agile, explainable decision ecosystems—giving enterprises a competitive edge in speed, precision, and adaptability.

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Later, a leading influencer marketing partner for enterprise brands, has launched Later EdgeAI, a proprietary AI-native engine that promises to turn the art of influence into measurable science. Built on what the company calls the industry’s richest influencer dataset, EdgeAI aims to bridge the gap between creator collaboration and business impact.

AI Trained on a Decade of Influence

Later EdgeAI isn’t just another algorithmic add-on. It’s trained on over a decade of influencer campaign data — covering 16 million creators, 136 billion annual impressions, over 1 billion Linkin.bio transactions, and $2 billion in verified influencer-driven purchases.

This scale allows EdgeAI to predict campaign performance, identify high-impact creators, and drive ROI across the marketing funnel. For brands, that means turning once-unquantifiable influence into tangible business outcomes.

AI That Learns Your Brand

According to Justin Withers, Chief Product Officer at Later, EdgeAI goes beyond basic analytics.

“With Later EdgeAI, your brand gets its own dedicated engine that learns from your goals, past campaigns, and performance outcomes,” said Withers. “The recommendations are tailored to your strategy, your audience, and your objectives. It’s AI that evolves with your brand.”

Later positions EdgeAI as an adaptive system — continuously refining its recommendations based on both brand-specific data and broader creator ecosystem signals. The result is faster campaign execution, improved creator matching, and outcomes that align more closely with business objectives.

Data-Driven Intelligence Meets Human Strategy

Unlike tools that bolt on generic AI features, EdgeAI is deeply embedded across Later’s platform and services. It draws from creator performance, commerce outcomes, and cultural trends to guide campaign strategies in real time.

Later’s services team leverages this intelligence to craft influencer programs that are sharper, more targeted, and more effective with every iteration.

Devon Santelman, Associate Manager of Brand Experience at General Mills, praised the collaboration:

“Despite a complex media strategy with dual objectives of awareness and conversion, the Later team integrated seamlessly into our business, proactively identifying new opportunities to enhance our in-market performance.”

The Enterprise Standard for Influencer Marketing

For Scott Sutton, CEO of Later, the launch marks a turning point for influencer marketing:

“Later EdgeAI marks the next era of influencer marketing. For the first time, brands can run influencer programs with the same dependability, scalability, and proven results they expect from their more established marketing channels.”

EdgeAI cements Later’s reputation as the enterprise standard for influencer marketing, blending advanced AI, vast data coverage, and trusted human expertise. The platform’s intelligence layer powers both technology and strategy, setting a new benchmark for measurable influence.

Driving the Future of Influence

The launch follows a string of AI investments from Later, including AI-powered Brand Suitability Insights, which helps marketers optimize every influencer dollar. With EdgeAI, Later aims to elevate influencer marketing into a predictive, performance-driven discipline — where creativity meets accountability.

As influencer marketing matures into a core pillar of enterprise media strategy, Later EdgeAI could very well become the engine that defines its next evolution.

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Stelo, a leader in enterprise data replication, has announced the availability of Stelo Data Replicator on Google Cloud Marketplace. The launch enables organizations to purchase, deploy, and manage Stelo directly through their existing Google Cloud accounts — modernizing data pipelines without additional tools, licensing hurdles, or integration delays.

Bridging Legacy and Cloud Data Systems

Stelo Data Replicator is a no-code data replication platform designed to move data effortlessly across both legacy and modern environments. Supporting systems such as IBM Db2 for iSeries and LUW, MySQL, and SQL Server, Stelo enables real-time replication into Google BigQuery and other Google Cloud data services.

The tool supports both data mirroring and streaming, allowing continuous synchronization between on-premises and cloud systems — without disrupting daily operations or depending on third-party integration layers.

Validated by Google Cloud for BigQuery

Stelo is a Google Cloud Ready – BigQuery Validated Partner, a designation that certifies its seamless compatibility with Google’s data ecosystem. This validation ensures Stelo meets Google Cloud’s benchmarks for reliability, security, and performance.

Dai Vu, Managing Director of Marketplace & ISV GTM Programs at Google Cloud, emphasized the value of the collaboration:

“Bringing Stelo to Google Cloud Marketplace will help customers quickly deploy, manage, and scale its no-code data replication tool on Google Cloud’s trusted, global infrastructure. Stelo can now securely scale and support enterprises that want to use Stelo Data Replicator to support data mirroring and streaming without added infrastructure complexity.”

Simplified Integration with Google Cloud Stack

Unlike traditional ETL or replication platforms that require extensive setup, Stelo integrates natively with the Google Cloud environment. The solution’s near-zero footprint and built-in automation allow data teams to replicate efficiently while minimizing system load and configuration time.

Paul Rampel, Founder and CEO of Stelo, highlighted the impact of this launch:

“With our Google Cloud Marketplace listing, teams can replicate data into BigQuery faster and with less complexity. As a Google Cloud Ready – BigQuery Validated partner, our customers gain confidence that Stelo integrates seamlessly and delivers proven reliability for real-time replication.”

Expanding Accessibility Across Cloud Platforms

The Google Cloud Marketplace listing marks a key milestone in Stelo’s broader mission to make enterprise-grade data replication accessible across multiple cloud platforms. By removing the friction from data movement and integration, Stelo empowers organizations to modernize data architectures at scale — supporting hybrid, multi-cloud, and on-premises ecosystems.

With Stelo now part of Google Cloud Marketplace, enterprises can modernize their data operations with speed, security, and simplicity — turning replication into a strategic advantage for digital transformation.

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In a bold fusion of history, technology, and storytelling, Monks—S4 Capital’s global digital powerhouse—has teamed up with the City of Amsterdam and its partners to launch Amsterdam in Motion, an immersive city marketing experience that redefines civic engagement.

Unveiled on Amsterdam’s 750th birthday, this project is more than a celebration—it’s a digital time machine. Visitors explore the world’s largest multimedia city maquette, a 200m² model featuring over 30,500 buildings animated through AI-driven projection mapping and spatial sound design.

A Living, Breathing City in Motion

Amsterdam in Motion brings the city’s evolution since 1275 to life. Through spectacular projection mapping, visitors experience centuries of transformation—from the first wooden houses along the Amstel to the rise of modern infrastructure and social movements that shaped the city’s culture.

The immersive setup, powered by 18 advanced projectors, projects hundreds of historic images that have been meticulously restored and animated using artificial intelligence. The result is a seamless blend of past and future—a digital ecosystem that celebrates the city’s resilience and creativity.

Victor Knaap, Chief Revenue Officer EMEA at Monks, described the project as “an unparalleled, immersive multimedia experience that represents a game-changer in city marketing.” He added that its adaptive and evolving design allows the experience to grow with the city, offering limitless opportunities for innovation in urban storytelling.

750 Years in the Making

To promote the launch, Monks created the “750 Years in the Making” campaign, a cinematic narrative that traces the city’s evolution through the stories of its people. From the builders who laid Amsterdam’s foundations to activists who shaped its identity, each story echoes a single message: this city is never finished—and worth the wait.

The campaign extends across online video, social media, and digital out-of-home (DOOH) platforms, giving a global audience a glimpse of the immersive experience that awaits in Amsterdam.

Collaboration at the Core

Amsterdam in Motion was co-initiated by Duncan Stutterheim, in collaboration with the Amsterdam Museum, Monks, and other cultural partners. The Amsterdam Museum led content development, ensuring authenticity and alignment with its mission to share the city’s past, present, and future with the world.

This initiative reflects a broader trend in digital city marketing—where cultural storytelling meets cutting-edge technology. As cities compete for global attention, experiences like Amsterdam in Motion demonstrate how data, design, and creativity can converge to foster deeper civic pride and global engagement.

A Model for Smart Cities Worldwide

Amsterdam in Motion is more than a cultural installation—it’s a prototype for future urban storytelling. Its scalable, multimedia foundation can evolve to include new narratives, integrate emerging technologies, and engage audiences through both physical and digital channels.

For governments and tourism boards, it offers a blueprint: an AI-powered, human-centered model for connecting citizens and visitors through meaningful, interactive experiences.

As Amsterdam celebrates its 750th milestone, it also sets the stage for what the next century of city marketing could look like—dynamic, inclusive, and constantly in motion.

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Netcore Cloud, a global leader in Agentic Marketing, has entered into a strategic partnership with Flair Airlines, Canada’s leading ultra-low-cost carrier, to reimagine customer engagement through AI-powered personalization and omnichannel automation.

This collaboration marks a key step in Flair’s evolution from a no-frills carrier to a brand deeply invested in creating seamless, customer-first digital experiences.

AI at the Heart of Customer Personalization

Flair Airlines sought a technology partner with proven aviation expertise—one capable of building a future-ready AI roadmap and scaling engagement across every digital touchpoint. Netcore Cloud emerged as the clear choice, known for driving digital transformation across the global airline sector.

The partnership is anchored in three core pillars:

• AI-Driven Personalization: Tailoring every interaction with relevant, contextual content to enhance customer satisfaction.

• Omnichannel Automation: Streamlining communication across booking, travel, and post-flight stages.

• Advanced Analytics: Delivering actionable insights to help marketing teams optimize engagement and improve ROI.

Kalpit Jain, Group CEO of Netcore Cloud, said, “Flair embarked on a transformation from being a no-frills carrier to becoming a meaningful part of every customer’s travel experience. Our role extended beyond technology—we helped embed a culture of AI-driven personalization that fuels ancillary revenue growth and long-term loyalty.”

Elevating Customer Experience with AI

This partnership underscores the growing role of AI in aviation marketing, where automation and predictive insights are reshaping how airlines engage passengers. By integrating Netcore’s AI-led platform, Flair aims to deliver frictionless, data-informed experiences—from personalized booking recommendations to timely travel updates.

For passengers, that means smarter interactions and greater convenience at every stage of the journey. For Flair, it means measurable improvements in engagement, retention, and ancillary revenue streams.

A Strategic Step Toward the Future of Air Travel

As airlines worldwide race to modernize their digital ecosystems, the Netcore–Flair partnership sets a new benchmark for AI-driven customer engagement in aviation. By combining Netcore’s Agentic Marketing platform with Flair’s growth ambitions, the collaboration demonstrates how technology can humanize digital touchpoints while maintaining operational efficiency.

With this move, Flair cements its position as a customer-centric, digitally advanced airline, aligning innovation with affordability—a balance few carriers have achieved at scale.

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Moving Traffic Media (MTM), a performance marketing agency specializing in paid media, enterprise SEO, and analytics, has announced the acquisition of SpiderBoost, a Miami-based digital agency founded in 2009 by siblings Angelica and Armando Martinez. The move expands MTM’s service offerings, merging performance marketing, SEO, and technical web development under one AI-driven umbrella.

SpiderBoost, known for its deep expertise in WordPress and Shopify development, serves clients across healthcare, nonprofit, and e-commerce sectors. Its impressive client roster includes Jackson Health System, University of Miami, and United Way—organizations that rely on precise, high-performance digital infrastructure.

Building a Unified AI-First Marketing Powerhouse

Jon Clark, Managing Partner at Moving Traffic Media, emphasized that the nature of search has fundamentally changed:

“Search isn’t a singular channel anymore. It’s wherever people—and AI—look for answers. Competing and winning now requires a Search Everywhere strategy that spans web, search, LLMs, and social.”

This acquisition enables MTM to create end-to-end digital ecosystems designed for AI-native discovery. By integrating SpiderBoost’s development and UX design capabilities with MTM’s performance and analytics frameworks, the agency can deliver faster testing, unified measurement, and more agile client support.

SpiderBoost CEO Armando Martinez highlighted the strategic fit:

“As Gen AI reshapes digital marketing, SEO has never been more vital. Joining forces with MTM unites our technical foundation with their media and optimization expertise—building a future-ready model for intelligent marketing.”

A Shared Vision for Scalable, Intelligent Growth

Under the new structure, SpiderBoost will operate as “SpiderBoost, a Moving Traffic Media Company.” The Miami-based team brings nearly two decades of platform experience to MTM’s performance marketing playbook.

SpiderBoost President Angelica Martinez noted how AI-driven discovery tools are expanding the definition of SEO:

“The rise of ChatGPT and Claude introduces new search surfaces where brands must have presence. Partnering with MTM multiplies our value while preserving our hallmark precision in development.”

Joe DeVita, Managing Partner at MTM, added:

“This combination removes third-party bottlenecks and allows us to recommend, execute, and optimize as one integrated team. It’s how we future-proof clients for the AI-native landscape.”

What the Integration Means for Clients

Clients of both firms will experience a seamless transition. Existing teams, scopes, and points of contact remain the same. The merger simply adds new capabilities and efficiencies, including:

• Development & Creative: WordPress, Shopify, and Magento builds with CRO-focused UX, analytics integration, accessibility (WCAG), and HIPAA-aligned workflows.

• Enterprise SEO: Answer Engine Optimization and Relevance Engineering to improve visibility across traditional and AI-driven search environments.

• Performance Media: Multi-channel campaigns powered by creative testing, automation, and decision-grade analytics.

This combination enables MTM to deliver holistic marketing solutions designed for a world where search is conversational, multi-surface, and powered by AI.

Redefining the Future of Performance Marketing

The acquisition signals more than growth—it’s a statement about where marketing is headed. As AI reshapes discovery, personalization, and measurement, agencies that unite creative, technical, and analytical strengths are positioned to lead.

By integrating SpiderBoost’s technical excellence with MTM’s marketing intelligence, Moving Traffic Media has built a blueprint for the AI-first agency model—one that’s agile, measurable, and ready for the evolving digital economy.

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Syndio, the global leader in Decision Intelligence for Pay, has unveiled Syndi, an AI-native platform designed to help organizations make smarter, faster, and fairer compensation decisions. Built on nearly a decade of proprietary data, Syndi combines AI-driven insights, explainability, and workflow integration to give HR and finance leaders precise, real-time pay recommendations directly within Microsoft Teams, Slack, and ATS systems.

From Fragmented Decisions to Intelligent Action

For most organizations, compensation decisions happen in silos—guided by inconsistent data, outdated benchmarks, and reactive adjustments. This fragmented process often leads to talent loss, budget inefficiency, and internal pay inequities.

Syndi replaces this guesswork with real-time, data-backed guidance that integrates market intelligence, internal pay structures, and workforce signals. The result is a unified system that helps companies compete effectively, control costs, and protect pay equity without compromising speed or fairness.

Hywel Jones, VP of Total Rewards at TD SYNNEX, one of Syndio’s enterprise design partners, noted:

“Syndi embeds intelligence across the business so decisions are fast, fair, and instantly informed by the right data. It’s a real-time coach that augments human judgment to reward performance, optimize spend, and protect pay equity.”

Syndi: Built for How Teams Work Today

Unlike traditional HR platforms, Syndi is embedded directly within daily workflows, allowing teams to make informed decisions without disruption. The platform’s capabilities center around five key benefits:

• Precise: AI comp agents trained on each company’s pay policies.

• Instant: Contextual, explainable recommendations delivered in real time.

• Competitive: Dynamic offers optimized for market rates and internal fairness.

• Retention-Focused: Transparent pay structures that reduce attrition and bias.

• Actionable: Cross-functional coordination between HR, Finance, and leadership.

This approach allows companies to move at market speed while maintaining fairness and compliance—turning compensation from a reactive process into a strategic advantage.

Trustworthy AI: Transparent, Adaptive, and Explainable

Syndi’s architecture blends adaptive AI with deterministic rules, ensuring that automation never overrides policy. Its Decision Graph™, a proprietary network of expert compensation agents, continuously learns from data and context to improve guidance accuracy.

Unlike “market-data-first” systems, Syndi integrates market trends with internal pay philosophies, creating a balance between competitiveness and equity. Every recommendation is explainable, auditable, and policy-aligned, giving decision-makers full visibility and confidence.

Syndio CEO Maria Colacurcio described Syndi’s value succinctly:

“Syndi turns compensation from a guessing game into a measurable advantage. It helps companies pay competitively, fairly, and efficiently—all at once. When organizations get pay right, everything changes: performance improves, culture strengthens, and trust grows.”

Launching a New Category: Decision Intelligence for Pay

With Syndi, Syndio isn’t just releasing a product—it’s defining a new category. Decision Intelligence for Pay bridges the gap between market competitiveness, fairness, and cost optimization, solving one of HR’s most complex challenges.

The platform’s initial release focuses on new hire compensation, guiding recruiters to balance external rates with internal structures. Future versions will expand into promotions, transfers, and merit cycles, embedding AI-driven intelligence across the full employee lifecycle.

Backed by nearly a decade of data from 10 million employee records across industries, Syndi represents the next evolution of equitable, data-informed pay management.

The Future of Pay Equity Is Intelligent

As companies navigate an era defined by talent competition and AI disruption, Syndi offers a model for trustworthy, adaptive pay intelligence. It empowers decision-makers to act confidently—with fairness, compliance, and strategy built in.

With Syndi, Syndio transforms compensation from a static process into a living intelligence system—one that evolves with every decision, learns from every interaction, and redefines what it means to get pay right.

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Guidehouse, a global AI-led professional services firm, has released The Managed Services Guide, a flagship report that redefines how managed services are delivered in the age of AI and automation. The report outlines a model for intelligent operations that moves beyond transactional outsourcing toward adaptive, performance-driven systems.

“Intelligent operations represent a model for managed services that is built for performance, not just process,” said Ali Bokhari, Managed Services Leader at Guidehouse. “By combining automation, AI, and human expertise into modular, repeatable systems, organizations can scale what makes them distinct while driving measurable impact.”

As enterprises face rising pressures—shrinking budgets, evolving compliance demands, rapid tech disruption, and talent shortages—managed services are becoming a foundation for resilience and scalability. Providers are integrating people, processes, and technology to deliver consistent, outcome-focused performance.

The Guide introduces four key principles shaping the intelligent operations era:

• Design for outcomes and unique strengths

• Use digital workers to amplify human impact

• Make data your control layer for visibility

• Configure to fit instead of customizing

“AI is no longer just a tool—it’s a teammate,” said Stuart Brown, Technology Leader at Guidehouse. “Digital workers handle volume and surface insights, allowing humans to focus on what they do best—nuanced decisions, exception handling, and strategic oversight.”

The report also tracks emerging trends shaping the next wave of managed services:

• Digital workers becoming part of org charts

• Agentic AI in decision-making and workflow orchestration

• Expansion into front-office functions like onboarding and customer engagement

• Outcome-based pricing replacing traditional rate cards

Guidehouse will host a live webinar on November 6, 2025, to explore these insights with leaders across industries including healthcare and financial services.

The Managed Services Guide marks the third installment in Guidehouse’s 2025 thought leadership series, offering a forward-looking framework for how intelligent operations can transform business performance, transparency, and adaptability.

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