Marketers constantly juggle the risk of over-communicating with customers while striving to maximize engagement. Hightouch, a leading data and AI platform for marketing and personalization, is addressing this challenge with Smart Suppression, a new feature in its AI Decisioning suite.

Traditional suppression rules—like static frequency caps—treat all messages equally, leaving marketers to choose between lost conversions or damaged relationships. Smart Suppression introduces a smarter, data-driven approach.

How Smart Suppression Works

The feature taps into customer data from warehouses, including purchase history, engagement patterns, and behavioral signals, to predict which messages will deliver incremental lift and which could risk unsubscribes or harm brand equity. Marketers can set suppression thresholds through the AI Decisioning interface, giving them direct control while automatically filtering out risky messages.

“Decisioning agents are greedy. They're designed to maximize outcomes, and if you give them permission to send five times a week, they'll send five times a week,” said Rishabh Anand, Product Lead for AI Decisioning at Hightouch. “Smart Suppression ensures they focus that volume on messages that actually drive impact, not just fill quotas.”

Unlike black-box optimization tools, Smart Suppression balances automation with marketer oversight, ensuring that AI-driven campaigns enhance customer relationships without unintentionally driving unsubscribes or damaging sender reputation.

Implications for Lifecycle Marketing

By predicting the impact of each message, Smart Suppression helps marketing teams maximize engagement while protecting brand equity, a critical differentiator in crowded digital channels. As AI-driven personalization becomes the norm, tools like this offer a way to scale outreach intelligently without sacrificing customer trust.

With this launch, Hightouch reinforces its position as a platform that combines data-driven decisioning with marketer control, allowing organizations to send smarter, safer, and more effective communications.

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The financial industry’s obsession with precision meets its latest ally: AllocateRite, the world’s first deterministic AI-powered wealth management platform, has rolled out a Marketing Compliance Tool designed to tackle one of finance’s most persistent pain points—marketing oversight in a regulated world.

In an era where a misplaced logo or an overlooked client name in a pitch deck can trigger data privacy penalties, AllocateRite’s solution promises to make compliance less of a bottleneck and more of a built-in safeguard. The new platform reviews content before publication, flags potential regulatory breaches, and suggests fixes in real time—all without slowing down marketing cycles.

“Marketing compliance shouldn’t be a blind spot—or a brake pedal,” said Abbas Shah, Co-Founder and Chief Algorithm Officer at AllocateRite. “We’re giving firms a single, auditable system of record for compliant marketing at scale. This release is a new use case for our deterministic AI platform—the same financial-grade infrastructure that already powers mission-critical enterprise workflows.”

A Compliance Engine Built for Speed and Scrutiny

AllocateRite’s Marketing Compliance Tool scans over twenty content formats—from videos and social posts to PDFs and podcasts—against firm rules and regulatory guidelines. The system delivers explainable, consistent results while routing content through structured review workflows. Every action is logged, from who made edits to when approvals were granted, creating an audit-ready record regulators can trace from draft to publication.

The impact is measurable: firms can now move from first draft to final approval in days instead of weeks, reduce regulatory exposure through built-in AI checks, and lower compliance costs by automating repetitive review tasks.

Context: A $40 Billion Marketing Problem

The financial services sector spends more than $40 billion annually on marketing—and devotes thousands of compliance hours to manually vetting content. Most firms still rely on outdated systems ill-equipped for today’s multi-channel, real-time marketing environments.

AllocateRite’s solution steps into this gap with a deterministic AI model—a key distinction from probabilistic systems that can produce unpredictable results. Deterministic AI ensures every decision is traceable, auditable, and explainable—an essential feature for risk-sensitive industries like wealth management and asset advisory.

Why It Matters

In a post-GDPR, SEC-scrutinized landscape, marketing compliance has evolved from a back-office formality to a front-line defense against regulatory fallout. AllocateRite’s launch signals a broader shift: AI is no longer just a trading or analytics tool—it’s becoming the new backbone of marketing governance in financial services.

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Bluefish, an AI marketing platform for the Fortune 500, has added a major name to its leadership circle: Peter Naylor, the advertising executive who’s shaped digital media from the early streaming era to the AI revolution.

Naylor, whose résumé includes senior roles at Netflix, Snap, Hulu, and NBCUniversal, joins Bluefish as a strategic advisor, bringing deep expertise in building ad ecosystems and guiding global brands through technology-driven transformation. His appointment underscores Bluefish’s growing ambition—to help CMOs and enterprise marketers build scalable, AI-powered marketing systems in a rapidly changing digital landscape.

From Streaming Pioneer to AI Marketing Strategist

Naylor’s career reads like a timeline of modern advertising. At NBCUniversal, he helped define digital video ad formats that would later become industry standards. At Hulu, he helped prove that streaming could sustain premium ad experiences. And at Netflix, he led the company’s global ad sales during its crucial pivot into ad-supported streaming—arguably one of the most closely watched experiments in digital media.

Now, Naylor turns his attention to AI as marketing’s next disruptive frontier.

“Consumer journeys are rapidly migrating from traditional search paradigms into a new landscape of answer engines and AI applications,” said Naylor. “What excites me about Bluefish is the urgency and scale of the problem they’re tackling. This is a transformative moment for marketers.”

Bluefish’s Bet on AI-Driven Marketing Systems

For Alex Sherman, CEO of Bluefish, Naylor’s arrival is both strategic and symbolic. “AI is disintermediating large brands from the customer,” Sherman said. “Peter’s experience leading large-scale marketing deployments will help us partner more deeply with global enterprises as we build the marketing systems of the future.”

Bluefish, fresh off a Series A funding round, is positioning itself at the center of an industry in flux. As AI tools redefine how consumers discover brands—shifting from keyword-based search to conversational interfaces and “answer engines”—the company aims to give marketers visibility and control in this new environment.

The Industry Signal

The addition of a veteran like Naylor signals confidence in Bluefish’s trajectory—and highlights a broader movement among enterprise marketers to integrate AI governance, creative automation, and media optimization under unified platforms.

For Naylor, it’s another chance to shape an inflection point in marketing history—this time not as a media seller, but as a builder of the systems that define how AI connects brands and consumers.

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As ransomware attacks evolve from disruptive to downright destructive, Recovery Point Systems is taking no chances. The Maryland-based cyber resiliency and business continuity provider has upgraded its Ransomware Recovery as a Service (RRaaS) offering with a new AI-powered feature: Backup Validation—a proactive safeguard that verifies the health and integrity of backup images before recovery even begins.

The move targets one of cybersecurity’s most underappreciated weak points: compromised backups. According to Veeam’s 2023 Ransomware Trends Report, 93% of ransomware attacks now target backup infrastructure directly, and three out of four organizations report failed recoveries after a cyberattack. Recovery Point’s new validation layer aims to close that gap.

“Backups alone don’t guarantee resilience,” said Brett Moss, President of Recovery Point Systems. “What differentiates us is orchestrated, validated recovery. Our Backup Validation assures clients their backups are intact, clean, and fully restorable—even against dormant malware that slips past frontline defenses.”

Clean, Tested, and Ready to Recover

Traditional backup tools confirm only that data was saved—not that it’s safe or usable. Recovery Point’s Backup Validation performs full system-level testing within an isolated cleanroom environment at its data centers. Here, AI algorithms automatically power up backups, perform malware scans, assess recoverability, and assign resilience scores.

That means organizations can detect infections or corruption before a crisis, satisfying both regulatory mandates and cyber insurance requirements with compliance-ready documentation.

The service integrates seamlessly with existing backup technologies—no rip-and-replace required—and offers continuous validation, giving organizations ongoing proof of cyber readiness rather than unpleasant surprises when disaster strikes.

Ransomware Recovery as a Managed Discipline

The enhanced RRaaS platform is more than a safety net—it’s a cyber recovery ecosystem that combines proactive defense and orchestrated restoration. Its core features include:

• Gap assessment and disaster recovery planning

• Immutable, air-gapped backups

• AI-driven backup scanning and validation

• Cleanroom testing and hot-site failover

• Automated recovery orchestration and runbook management

• Real-time resilience dashboards for visibility

The approach reflects a growing consensus among enterprise CISOs: cyber resilience is not just about restoring data—it’s about restoring trust.

With AI-backed assurance, Recovery Point is positioning its RRaaS platform as the gold standard for enterprises seeking to prove that their backups—and business operations—can stand up to the next wave of ransomware.

Get in touch with our MarTech Experts.

At Advertising Week, Ryff unveiled what could become one of the most transformative analytics tools for advertisers and creators alike: Scene Intelligence™, a new AI-powered framework designed to understand how humans actually respond to visual content—beyond surface-level metrics like views and impressions.

Developed over three years and trained on hundreds of thousands of entertainment records, Scene Intelligence promises to bridge a long-standing blind spot in media measurement—helping marketers answer why content drives engagement and how it influences decisions like brand consideration or purchase intent.

“Scene Intelligence doesn’t just measure how many people watch or how they feel,” said Roy Taylor, Founder of Ryff. “It helps us understand why—and what kind of content drives action. This moves creative and marketing decisions away from guesswork and grounds them in science.”

Beyond Views: The Science of the Scene

For decades, the $600 billion entertainment and advertising ecosystem has relied on metrics that show reach—but not reaction. Scene Intelligence shifts that paradigm by analyzing over 2,000 visual attributes per scene, from object placement and composition to character interaction and pacing.

Using its proprietary Behavioral Environmental Descriptors (BEDs), the system generates four new metrics:

• Scene Prominence Score (SPS) – measures visibility and impact of on-screen elements.

• Scene Weighted Impact Score (SWIS) – evaluates overall influence across a full program.

• Scene Consideration Potential (SCP) – predicts likelihood of brand consideration after viewing.

• Purchase Pathway Score (PPS) – forecasts consumer actions post-exposure.

In early pilots, Ryff reports results that would make any brand strategist take notice:

• 95% model accuracy across platforms

• 45% boost in brand integration effectiveness

• 3.2x increase in purchase intent when content is optimized through Scene Intelligence insights

AI on the Cloud, Analytics in Real Time

Built on Oracle Cloud Infrastructure, the system leverages Ryff’s ALGO-C (content classification) and ALGO-D (behavioral prediction) models to process massive entertainment datasets in real time. Its ViewStream Intelligence™ module adds live viewership analytics across streaming and broadcast platforms—allowing brands to tweak campaigns mid-flight through a single, unified dashboard.

The tool will be available in three formats:

• Enterprise API for studios and streaming platforms

• Brand Intelligence Suite for agencies and advertisers

• Creator Analytics for production companies and individual creators

Early adopters will also gain access to historical content analysis, predictive modeling for new releases, and competitive intelligence tailored to their industry.

Why It Matters

As the streaming market races toward $1.2 trillion by 2027 and video ad spend nears $450 billion, the ability to decode why audiences connect with certain scenes—and how that translates into commercial action—could redefine entertainment marketing strategy.

Scene Intelligence positions Ryff at the intersection of AI, psychology, and creative optimization. In an age when brands are fighting to hold viewer attention across fragmented channels, this kind of visibility into the emotional mechanics of content could become the new metric that matters.

At Advertising Week, Ryff unveiled what could become one of the most transformative analytics tools for advertisers and creators alike: Scene Intelligence™, a new AI-powered framework designed to understand how humans actually respond to visual content—beyond surface-level metrics like views and impressions.

Developed over three years and trained on hundreds of thousands of entertainment records, Scene Intelligence promises to bridge a long-standing blind spot in media measurement—helping marketers answer why content drives engagement and how it influences decisions like brand consideration or purchase intent.

“Scene Intelligence doesn’t just measure how many people watch or how they feel,” said Roy Taylor, Founder of Ryff. “It helps us understand why—and what kind of content drives action. This moves creative and marketing decisions away from guesswork and grounds them in science.”

Beyond Views: The Science of the Scene

For decades, the $600 billion entertainment and advertising ecosystem has relied on metrics that show reach—but not reaction. Scene Intelligence shifts that paradigm by analyzing over 2,000 visual attributes per scene, from object placement and composition to character interaction and pacing.

Using its proprietary Behavioral Environmental Descriptors (BEDs), the system generates four new metrics:

• Scene Prominence Score (SPS) – measures visibility and impact of on-screen elements.

• Scene Weighted Impact Score (SWIS) – evaluates overall influence across a full program.

• Scene Consideration Potential (SCP) – predicts likelihood of brand consideration after viewing.

• Purchase Pathway Score (PPS) – forecasts consumer actions post-exposure.

In early pilots, Ryff reports results that would make any brand strategist take notice:

• 95% model accuracy across platforms

• 45% boost in brand integration effectiveness

• 3.2x increase in purchase intent when content is optimized through Scene Intelligence insights

AI on the Cloud, Analytics in Real Time

Built on Oracle Cloud Infrastructure, the system leverages Ryff’s ALGO-C (content classification) and ALGO-D (behavioral prediction) models to process massive entertainment datasets in real time. Its ViewStream Intelligence™ module adds live viewership analytics across streaming and broadcast platforms—allowing brands to tweak campaigns mid-flight through a single, unified dashboard.

The tool will be available in three formats:

• Enterprise API for studios and streaming platforms

• Brand Intelligence Suite for agencies and advertisers

• Creator Analytics for production companies and individual creators

Early adopters will also gain access to historical content analysis, predictive modeling for new releases, and competitive intelligence tailored to their industry.

Why It Matters

As the streaming market races toward $1.2 trillion by 2027 and video ad spend nears $450 billion, the ability to decode why audiences connect with certain scenes—and how that translates into commercial action—could redefine entertainment marketing strategy.

Scene Intelligence positions Ryff at the intersection of AI, psychology, and creative optimization. In an age when brands are fighting to hold viewer attention across fragmented channels, this kind of visibility into the emotional mechanics of content could become the new metric that matters.

Get in touch with our MarTech Experts.

When it comes to digital identity verification, trust is everything—and Persona just earned a major badge of it. The San Francisco-based verified identity platform has officially achieved FedRAMP® Authorized status, joining the ranks of cloud service providers cleared to work with U.S. federal agencies.

This milestone, now listed on the FedRAMP Marketplace, validates that Persona’s platform meets the U.S. government’s strict security and privacy standards after an in-depth third-party assessment. The company’s authorization at the Low Impact level allows it to support agencies where data risks are limited, while its FedRAMP Ready designation at the Moderate Impact level signals plans to expand further into higher-sensitivity operations.

Meeting the Public Sector’s Identity Challenge

Fraud prevention and identity management remain persistent headaches for federal and state agencies—especially as more services go digital. Persona’s authorization arrives as government organizations ramp up modernization efforts to cut waste, reduce fraud, and improve access to critical services.

“There aren’t many identity verification providers that offer the public sector a comprehensive and adaptable identity platform,” said Robert Kozyra, Public Sector GTM Lead at Persona. “Persona’s FedRAMP statuses position us to support federal agencies’ digital transformations while maintaining the security and privacy standards that government operations demand.”

Persona’s modular identity framework is designed to be flexible—agencies can deploy the exact tools they need today and add more later. Its suite covers document verification, biometric checks, fraud detection, and case management—all while integrating with major enterprise systems like Microsoft Entra ID, Cisco Duo, and Okta.

Four Core Government Use Cases

1. Automating onboarding – Persona’s Dynamic Flow system auto-approves or flags user verifications using signals from IDs, selfies, and databases.

2. Stopping fraud before it scales – AI-powered fraud detection models and device/network analysis help detect deepfakes and identify bad actors.

3. Verifying employees and contractors – Persona’s “Know Your Employee” (KYE) process ensures secure onboarding and compliance across systems.

4. Streamlining investigations – Custom case management dashboards integrate with Salesforce, Zendesk, and others for centralized oversight.

Security-First Design

Security and compliance are at the heart of Persona’s pitch. The company employs multi-layered encryption, continuous vulnerability scanning, and third-party audits to protect sensitive government data. Its security stack aligns with federal and global standards like FIPS 140-2, NIST SP 800-53, SOC 2 Type II, and ISO 27001.

Additionally, Persona offers granular data residency controls, giving agencies more oversight into where and how citizen data is stored, accessed, and redacted—an increasingly vital requirement for public-sector modernization.

The Bigger Picture

With governments accelerating digital transformation and the U.S. identity verification market projected to surpass $30 billion by 2030, Persona’s FedRAMP Authorization plants it firmly in the mix of trusted providers shaping the next era of secure government digital identity.

For the public sector, the win goes beyond compliance—it signals a move toward a more frictionless, fraud-resistant digital future.

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JWP Connatix is doubling down on streaming and connected TV (CTV) — and it’s putting one of its most trusted leaders in charge. The company announced that David LaPalomento, its longtime Chief Technology Officer, has been promoted to General Manager of Streaming & CTV, a newly created role designed to accelerate growth in one of the company’s most strategic business areas.

LaPalomento, a key figure in JWP Connatix’s evolution from a video tech platform to a major force in digital media infrastructure, will now lead product strategy, go-to-market execution, and commercial outcomes for the streaming and CTV division.

“David has been instrumental in building the technology foundation of JWP Connatix,” said John Nardone, CEO of JWP Connatix. “He’s trusted by our engineers, respected by our customers, and uniquely skilled at translating complex technical challenges into business opportunities. Streaming and CTV represent one of the biggest growth opportunities in front of us, and David is the perfect leader to deepen our engagement in this space.”

Bridging Engineering and Business

LaPalomento’s promotion underscores JWP Connatix’s commitment to blending technical depth with market agility. As CTO, he helped steer the company through years of rapid expansion and platform modernization, strengthening its capabilities in video monetization, AI-driven content optimization, and cross-platform analytics.

Now, in his new role, he will focus on expanding partnerships with broadcasters, OTT platforms, and streaming services—segments driving the most aggressive ad spend and innovation across digital media.

“I’m excited to take on this new role at such a pivotal moment for both JWP Connatix and our industry,” said LaPalomento. “Streaming and CTV are evolving rapidly, and our combination of technology and expertise puts us in a position to help customers solve their toughest challenges.”

Strengthening the Leadership Bench

LaPalomento will continue collaborating closely with the engineering organization and newly appointed CTO Pat DeAngelis, ensuring product and technical continuity as JWP Connatix scales.

His appointment also follows a series of high-profile executive hires, including Dr. Kenneth Rona as Chief AI Officer, Chris Maccaro as Chief Revenue Officer, and John Mruz as Chief Marketing Officer—moves that reflect the company’s push toward its next growth chapter at the intersection of AI, CTV, and monetization technology.

As streaming platforms face mounting pressure to optimize ad performance and user experience, JWP Connatix’s reshaped leadership lineup signals a clear strategy: double down on technology-driven innovation to capture the next wave of growth in connected TV.

Get in touch with our MarTech Experts.

B2B marketing in the UK is having a moment. According to Anteriad’s latest research, 87% of UK B2B marketers reported revenue growth in the past year, and 89% met or exceeded their pipeline and growth goals. Even more striking, 70% said marketing directly drove that growth, signaling a shift in how organizations view marketing’s role in business performance.

The report, titled “UK B2B Marketing Edge: 5 Opportunities to Drive Growth in 2026,” offers a snapshot of what’s working—and what’s next—for marketers across the UK and EMEA. The takeaway? AI and data are no longer optional—they’re essential to staying competitive.

Five Opportunities Defining 2026 Strategy

Anteriad’s report highlights five areas where leading marketers are focusing their energy:

1. Balancing short- and long-term growth – 39% of UK marketers say pressure for immediate results remains their biggest challenge.

2. Improving data quality – Poor-quality data continues to be the top barrier to effective marketing performance.

3. Putting AI to work – 40% credit AI with helping them meet role expectations, while nearly half (48%) say it’s advanced their careers.

4. Personalizing at scale – Demand is rising for AI-driven personalization that feels human and seamless across channels.

5. Forging strategic partnerships – High-growth companies are increasingly outsourcing to specialist partners to gain speed and precision.

The AI and Data Imperative

“B2B marketers are proving their impact, and those embracing data and AI are leading the way,” said Lynn Tornabene, Chief Marketing and Product Officer at Anteriad. “As we move into 2026, the opportunity is clear: integrate these elements to accelerate growth and sharpen competitive advantage.”

That message hits home at a time when many marketing teams are rethinking their tech stacks. With generative AI reshaping content workflows and predictive analytics driving more informed pipeline decisions, marketers who can operationalize AI and clean data are setting the performance benchmark.

Anteriad, whose clients include Indeed, ServiceNow, and Qlik, says its goal is to help marketers go beyond campaign-level success and link marketing performance directly to business outcomes—a metric that’s quickly becoming the new standard in B2B growth strategy.

B2B marketing in the UK is having a moment. According to Anteriad’s latest research, 87% of UK B2B marketers reported revenue growth in the past year, and 89% met or exceeded their pipeline and growth goals. Even more striking, 70% said marketing directly drove that growth, signaling a shift in how organizations view marketing’s role in business performance.

The report, titled “UK B2B Marketing Edge: 5 Opportunities to Drive Growth in 2026,” offers a snapshot of what’s working—and what’s next—for marketers across the UK and EMEA. The takeaway? AI and data are no longer optional—they’re essential to staying competitive.

Five Opportunities Defining 2026 Strategy

Anteriad’s report highlights five areas where leading marketers are focusing their energy:

1. Balancing short- and long-term growth – 39% of UK marketers say pressure for immediate results remains their biggest challenge.

2. Improving data quality – Poor-quality data continues to be the top barrier to effective marketing performance.

3. Putting AI to work – 40% credit AI with helping them meet role expectations, while nearly half (48%) say it’s advanced their careers.

4. Personalizing at scale – Demand is rising for AI-driven personalization that feels human and seamless across channels.

5. Forging strategic partnerships – High-growth companies are increasingly outsourcing to specialist partners to gain speed and precision.

The AI and Data Imperative

“B2B marketers are proving their impact, and those embracing data and AI are leading the way,” said Lynn Tornabene, Chief Marketing and Product Officer at Anteriad. “As we move into 2026, the opportunity is clear: integrate these elements to accelerate growth and sharpen competitive advantage.”

That message hits home at a time when many marketing teams are rethinking their tech stacks. With generative AI reshaping content workflows and predictive analytics driving more informed pipeline decisions, marketers who can operationalize AI and clean data are setting the performance benchmark.

Anteriad, whose clients include Indeed, ServiceNow, and Qlik, says its goal is to help marketers go beyond campaign-level success and link marketing performance directly to business outcomes—a metric that’s quickly becoming the new standard in B2B growth strategy.

Get in touch with our MarTech Experts.