Service Delivers Best-in-Class Predictive Fraud and Risk Intelligence Across More Than 195 Countries

Trulioo, an industry leader in identity verification with extensive global coverage, has announced the launch of Trulioo Fraud Intelligence. This new capability offers best-in-class predictive risk insights across more than 195 countries, revolutionizing how businesses combat synthetic and third-party fraud.

Transforming Fraud Prevention

Trulioo Fraud Intelligence is designed to enhance fraud prevention efforts for global businesses by providing comprehensive coverage that combines hundreds of risk indicators with consortium data, advanced velocity monitoring, and real-time signal monitoring. All of these features are accessible through a modern, single API, streamlining integration and reducing time to market for developers.

All-in-One Global Fraud Prevention

As a pioneering solution, Trulioo Fraud Intelligence integrates seamlessly with other essential Trulioo services, including Know Your Customer (KYC) data checks, Identity Document Verification, and Watchlist Screening. This comprehensive approach allows organizations to create a detailed risk profile for individuals worldwide, while also adapting to specific industry use cases and local languages.

Key Features of Trulioo Fraud Intelligence

1. One Integrated Platform: The Trulioo platform consolidates KYC checks, Identity Document Verification, Watchlist Screening, and Fraud Intelligence, enabling organizations to easily set and update rules that balance compliance, user experience, and fraud prevention.

2. Sophisticated Fraud Signals: Trulioo refines its proprietary, industry-specific models using machine learning and predictive analytics to meet diverse fraud prevention needs. The solution delivers a consolidated risk score derived from consortium data and multiple risk indicators, providing complete visibility into all underlying data.

3. Global Coverage: Offering best-in-class predictive risk intelligence for emails, phones, and IP addresses, Trulioo's identity intelligence network ensures organizations have access to a broad and deep range of data. This allows for calibration of country-specific risk signals tailored to local environments.

Statement from Leadership

David Liu, Senior Vice President of Fraud and Risk at Trulioo, commented, “The fragmented fraud prevention market forces businesses to rely on multiple point solutions to verify identities and monitor risk across regions. Trulioo Fraud Intelligence eliminates that burden. Large enterprises serving millions of customers can avoid complex, costly integrations by harnessing a unified, global capability that fights fraud during onboarding and beyond.”

With the launch of Trulioo Fraud Intelligence, businesses in sectors such as payments, banking, and marketplaces can access this innovative solution across 195 countries. Future enhancements will include anomaly detection, which identifies unusual behavior patterns across various applications, further strengthening fraud prevention efforts.

Harvard Business Review Analytic Services report sponsored by SAS explores MarTech challenges and growing interest in GenAI

Marketing technology (MarTech) plays a crucial role in helping companies create personalized experiences, deliver consistent messaging, and tailor content to meet relevant customer needs. However, barriers still hinder these technologies from fostering customer trust, as highlighted in a recent report by Harvard Business Review Analytic Services, sponsored by SAS, a leader in data and AI.

Optimizing the Use of Marketing Technology to Build Customer Trust

MarTech Challenges

A survey conducted by Harvard Business Review Analytic Services among marketing decision-makers revealed that 91% of respondents consider customer trust vital to their organization’s success. Moreover, 81% believe that MarTech significantly or moderately impacts nurturing and fostering this trust.

Despite this, the report indicates that many MarTech stacks comprise dozens of disparate solutions deployed in siloed systems. Notably, 38% of respondents reported that integrating new technologies into their existing stacks is a significant barrier to enhancing customer trust through MarTech.

Data-Related Barriers

Respondents also identified several data-related challenges that prevent MarTech from positively impacting customer trust:

• Poor Data Quality: 37%
• Silos of Customer Data: 36%
• Lack of Real-Time Data Access: 29%

In addition, other factors threatening customer trust include:

• Inconsistent messaging across channels: 31%
• Inadequate customer service: 30%
• Marketing messaging not aligned with customer needs: 30%

Growing Interest in Generative AI

Despite the obstacles, MarTech offers powerful capabilities to nurture customer trust and loyalty. The report highlights a growing interest in generative AI (GenAI) among marketers for its potential to identify relevant audience segments, develop marketing plans, and generate personalized content.

• 74% of respondents agree that integrating GenAI can enhance their organization’s MarTech stack.
• In the next year, 37% plan to increase spending on GenAI, outpacing other MarTech solutions.

Current Adoption of GenAI

However, the adoption of GenAI in marketing has been gradual. Only 13% of respondents have fully implemented GenAI for marketing purposes, while 45% are piloting or exploring its applications.

Among organizations using GenAI for marketing, the main applications include:

• Customer support through chatbots and virtual assistants: 36%
• Creating more user-friendly online experiences: 30%
• Incorporating advanced security measures to protect customer data: 29%

Expert Insights

“Responsible marketing driven by the careful application of MarTech like GenAI delivers real benefits to brands,” said Lisa Loftis, Global Principal for Customer Intelligence at SAS. “Through a more targeted, personalized approach, marketing campaigns can be more effectively managed and yield better results. By automating repetitive tasks, GenAI allows marketers to focus on more complex, mission-critical tasks where their creativity, experience, and skills can shine.”

GenAI and MarTech solutions, despite their challenges, are empowering more organizations to handle customer data responsibly, providing relevant information, timely offers, and agile support. When customers trust a brand and recognize value in their interactions, they are more likely to share personal data, enabling a hyper-personalized and effective marketing approach.

Treasure Data customers can drive more effective marketing campaigns with Databricks Delta Sharing

Treasure Data has unveiled Treasure Data Live Connect, a zero-copy feature within its Customer Data Platform (CDP), now available for the Databricks Data Intelligence Platform. This integration, powered by Databricks Delta Sharing, allows customers to significantly reduce costs, streamline security governance, and minimize operational overhead while facilitating data movement between Treasure Data’s CDP and the Databricks platform.

A Win-Win for Marketing and IT

“Marketing teams want to leverage all available data for enhanced audience segmentation and activation, while IT teams seek greater versatility, flexibility, and cost management in customer data storage and movement,” said Kaz Ohta, CEO and co-founder of Treasure Data. “Live Connect, powered by Delta Sharing and built on Databricks, provides a solution that benefits everyone. It enables our customers to harness the strengths of both their CDP and the rich data from platforms like Databricks without enforcing a specific architectural approach.”

Key Features of Live Connect

Live Connect is designed as an enterprise zero-copy solution tailored to meet the demanding needs of today’s largest organizations. The integration of Delta Sharing is crucial, facilitating seamless and secure data sharing across organizational boundaries. Here’s how Live Connect enhances data integration:

1. Zero Copy: Access and share data stored in Databricks without creating a persistent copy and avoiding the need for extensive ETL processes.
2. Easy Sync: Seamlessly copy multiple tables from the Databricks Data Intelligence Platform into Treasure Data.

This dual approach combines the advantages of zero-copy access through Delta Sharing with efficient data copying when necessary.

Enhanced Customer Insights

“Enterprise customers utilizing the Databricks Intelligence Platform aspire to achieve a 360-degree view of their customers without the complexities of moving or copying data across different systems,” said Akram Chetibi, Director of Product Management at Databricks. “We are thrilled to empower customers to use Delta Sharing for zero-copy integration with Treasure Data, enabling marketing teams to enrich their lakehouse data with minimal cost and operational overhead.”

With Treasure Data Live Connect, businesses can optimize their customer data management strategies while ensuring secure and efficient data access. This innovative integration not only enhances the collaboration between marketing and IT teams but also provides a robust framework for leveraging live data across platforms.

New AI-powered feature helps multi-location enterprises simplify the process of managing their online reputation

Yext, Inc., the leading digital presence platform for multi-location brands, has launched its expanded AI Review Generation solution. This innovative tool enables enterprises to request and manage reviews across over 80 supported review sites, including Google and Facebook, along with their own channels. The AI Review Generation feature simplifies the collection, management, and response workflows within a single platform, making it easier to build and protect online reputations.

The Importance of Customer Reviews

Recent data from Yext highlights that 71% of customers view reviews as crucial to their trust in a brand, and 69% expect responses within a week. With generative review responses and automated replies, businesses can efficiently handle numerous reviews in just minutes, significantly enhancing customer engagement while minimizing the need for large teams. By generating reviews across multiple touchpoints, Yext helps enterprises increase review volume, improve discoverability, elevate star ratings, and foster stronger connections with customers.

Key Features of Yext’s AI Review Generation

“I hear from customers every day that managing their reputation can feel overwhelming. However, we understand how critical this is for building trust and driving conversions,” said Chris Brownlee, Vice President of Product Management at Yext. “That’s why we are continuously seeking ways to simplify reputation management. With support for over 80 review networks, our AI-powered solutions make responding to reviews faster and easier than ever. Now, with the ability to request and manage both first- and third-party reviews, brands can more effectively enhance their star ratings and customer credibility.”

The expanded Review Generation capabilities include:

1. Review Invitations: Easily invite customers to share their feedback using pre-built and customizable email and text templates, featuring relevant brand information.

2. Review Generation URLs: Generate more reviews with unique, localized URLs that can be shared through invitations, business cards, ads, and receipts.

3. Customizable Settings: Tailor review generation settings to meet specific goals, such as managing invitation frequency and encouraging reviews on third-party sites.

4. In-Platform Analytics: Monitor review performance across all locations with comprehensive analytics, including success rates, average ratings, and conversion rates.

Customer Testimonials

Ochsner Health expresses optimism about the benefits of third-party review generation for its business. "We're excited about how the expanded capabilities in Yext's platform will enhance our ongoing reputation management efforts," said Maegan Floyd, Manager of Digital Marketing & Platforms at Ochsner Health. "It's crucial for us to ensure that our patients feel heard and know their feedback matters. The customizable tools and review collection process help us better understand and act on patient experiences, supporting our commitment to addressing patient needs while strengthening trust in our care."

Yext’s enhanced Review Generation capabilities build on the recent launch of Yext Social, reinforcing the company’s leadership in AI-driven reputation management solutions. By integrating social media and review solutions, Yext equips brands with the necessary tools to improve customer engagement, cultivate brand trust, and enhance performance metrics—all within a single platform.

Powerful capabilities and integrations empower retailers and brands to boost advertising ROI and elevate overall customer satisfaction

Lily AI, a leading retail technology platform specializing in AI solutions for retailers and brands, has announced the launch of the next generation of their product attribute platform with the release of the Lily app. This innovative app grants retailers and brands end-to-end control over their product attribute management and workflows. Upon logging in, users can seamlessly ingest products from their merchandise catalog, enrich them through Lily AI, and propagate the updated product data across their online touchpoints. This results in enhanced discovery, increased return-on-ad-spend (ROAS), and improved organic search performance.

Simplified Integrations

Thanks to the Lily app’s suite of integrations, importing and exporting optimized product data has never been easier. Users can connect their Google Merchant Center account, Product Information Management (PIM) system, or eCommerce search platform through one of Lily’s no-code connectors. This functionality empowers users to choose which products to enrich while providing a comprehensive reporting suite to analyze data enrichment activities. Out-of-the-box integrations with platforms like Google Merchant Center, Shopify, Bloomreach, Algolia, and more eliminate the need for manual configuration, customization, or updates for each destination system.

Key Features of the Lily App

The Lily app is designed to empower both marketers and merchants, offering several key features:

• Agnostic Catalog Ingestion: Users can ingest product data via API or flat file formats.

• Fully Automated Product Attribution: Automates the process of attributing product data for enhanced accuracy.

• On-Demand Activation: Enables users to activate Lily AI product attributes across Shopify, Google Merchant Center, Algolia, Bloomreach, and more.

• Automatic Retrieval and Enrichment: Retrieves and enriches new products from destination systems, ensuring timely activation.

• A/B Testing and Impact Measurement: Facilitates A/B testing and performance measurement across Google’s surfaces.

Leadership Insights

“For many retailers and brands, the initial excitement around Generative AI is fading, but they remain hopeful and are exploring how AI can generate real value,” said Purva Gupta, CEO and Co-founder of Lily AI. “While many have upskilled their internal teams, they have also relied on technology providers to leverage AI on their behalf. Today, I’m excited to deliver the latest version of our Lily app, which empowers our clients with easy-to-use self-serve access to the most accurate and high-quality AI-powered product attribute platform available.”

“When I meet with our customers, I often hear the term ‘automagically’ to describe their vision for product data enrichment and activation,” added Ahmed Naiem, President of Lily AI. “Now, with the Lily app, we’re empowering teams to submit product data, publish enrichments, and view reports all through a self-serve interface. The app truly excels with our Google Merchant Center integration, as it not only eliminates manual efforts in data preparation and transfer but also enhances the performance of traditional Search, Shopping, and Performance Max (PMax) campaigns, delivering 5-20% lifts in impressions and clicks.”

Lily AI’s latest app marks a significant advancement in product attribute management, providing retailers and brands with the tools they need to optimize their product data efficiently. By leveraging AI-powered solutions, businesses can enhance their digital presence, improve customer engagement, and ultimately drive sales.

Pipeline360, Integrate's media business, has unveiled new survey results from the "H2 2024 State of B2B Pipeline Growth" report. The survey indicates that approximately 50% of B2B marketers are struggling to meet their goals for the year. However, when teams align completely on Sales and Marketing efforts and adopt a Branded Demand approach—integrating content syndication and display advertising—80% achieve their goals, reflecting a 60% increase in success. This survey builds upon earlier research from the "H1 2024 State of B2B Pipeline Growth," conducted in collaboration with global research and advisory firm Demand Metric.

Key Challenges in B2B Marketing

The survey identified the top challenges faced by B2B marketers:

1. Budget and Resource Constraints: 48%
2. Economic Slowdown: 46%
3. Sales and Marketing Alignment: 44%

To cope with reduced resources, 62% of marketers are consolidating teams and job responsibilities, while 39% are increasingly relying on AI, and another 39% are utilizing contractors or agencies.

The Role of Generative AI

A significant 85% of B2B marketers are leveraging generative AI (GenAI), with 76% reporting satisfaction or high satisfaction with the results.

Importance of Sales and Marketing Alignment

The survey highlights the benefits of alignment between sales and marketing teams:

• 75% of aligned teams meet their goals to a great or very great extent (compared to 53% overall).
• 91% successfully reach their buying groups (vs. 74% overall).
• 85% express satisfaction with their lead generation processes (vs. 67% overall).
• 86% are pleased with the quantity of leads generated (vs. 64% overall).
• 86% report satisfaction with lead quality (vs. 69% overall).
• 76% meet lead generation goals to a great or very great extent (vs. 50% overall).

In contrast, teams not using content syndication or display advertising see significantly lower success rates:

• Only 42% can reach their goals (vs. 53% overall).
• 65% manage to connect with their buying groups (vs. 74% overall).
• Just 34% achieve their lead generation goals (vs. 50% overall).
• 55% are satisfied with their lead generation process (vs. 67% overall).
• 55% express satisfaction with the quality of leads (vs. 69% overall).
• 57% are pleased with the quantity of leads (vs. 64% overall).

Lead Generation Channels

The survey found the most popular channels for lead generation to be:

1. Email Marketing: 63%
2. Social Media: 61%
3. Influencer Marketing: 49%
4. Digital Display Advertising: 47%
5. Content Syndication: 34%

Despite 78% satisfaction with the quality of leads generated from content syndication, 35% of respondents cited poor lead quality as a reason for not utilizing this channel.

"Lack of alignment between Sales and Marketing creates silos in branding and demand, leading to ineffective use of available tools," stated Tony Uphoff, President of Pipeline360. "Our findings suggest that to thrive in today's competitive market, B2B marketers must move away from unbranded leads and invest in a Branded Demand approach that ensures reach, high-quality leads, and a significant pipeline impact."

This Collaboration Aims to Transform the Buying Process for Venue-Based Media, Opening New Opportunities, Making More Accessible for Broader Range of Advertisers

Lemma, a leading omnichannel platform for emerging media, and Taiv, an AI-powered innovative video technology company, have announced a strategic partnership aimed at revolutionizing venue-based and connected TV (CTV) advertising. This collaboration combines Lemma’s advanced programmatic capabilities with Taiv’s cutting-edge technology for high-impact video ads in bustling bars and restaurants.

Transforming Venue-Based Advertising

This partnership represents a significant leap forward in the advertising industry, introducing innovative solutions and a fresh approach to audience engagement through high-profile, venue-based media. By integrating the Lemma Supply-Side Platform (SSP), media buyers will gain access to Taiv’s exclusive inventory through private marketplace deals featuring familiar 15 or 30-second video creatives. This collaboration simplifies the expansion into new advertising channels, allowing buyers to seamlessly incorporate venue-based media into their programmatic strategies with minimal disruption.

Enhanced Advertising Experience

Taiv, known for its AI-driven technology, enhances the advertising experience on large screens in premium venues such as sports bars and restaurants. By integrating with Lemma’s advanced programmatic platform, Taiv will provide media buyers with enhanced access and flexibility, allowing them to incorporate venue-based media into their existing campaigns more effectively.

Streamlining the Buying Process

The collaboration aims to streamline and elevate the buying process for venue-based media, offering unmatched clarity and efficiency. By focusing exclusively on venue-based media, this partnership avoids the typical overlaps with CTV or Digital Out-Of-Home (DOOH), ensuring that Taiv’s inventory stands out with precise, targeted opportunities for media buyers, free from the complexities of traditional media classifications.

Quotes from Leadership

“Our partnership with Taiv opens new horizons for media buyers by integrating venue-based media seamlessly with programmatic buying. This collaboration offers a unique opportunity to engage audiences on some of the most visible screens in high-traffic venues, merging the strengths of both CTV and venue-based media into a cohesive strategy,” said Angelina Marmorato, AVP of Sales and Partnerships, North America at Lemma.

“Partnering with Lemma is a game-changer for the venue-based media industry. By integrating Taiv's AI-driven video technology with Lemma's powerful programmatic capabilities, we’re transforming business TV to be more engaging, profitable, and easier to manage. This collaboration empowers advertisers to seamlessly reach audiences in dynamic, impactful ways while simplifying and enhancing the media buying process,” said Tony Siconolfi, Chief Revenue Officer at Taiv.

StreamText, a leader in real-time captioning solutions, is proud to announce the launch of its latest innovation: cloud encoding for video. This new feature enables users to seamlessly integrate captions from a StreamText event into an RTMP video stream, enhancing video content with accessible, real-time captions.

Simplifying Captioning for All Users

The cloud encoding service is designed with simplicity in mind, empowering both technical and non-technical users to enhance their video streams effortlessly. “We created this solution with ease and control in mind,” said Nick Wilkie, CEO of StreamText. “Our goal is to offer a service that not only simplifies the captioning process but also keeps our clients in control of their customer relationships—something other platforms don't always prioritize.”

Benefits of StreamText's Cloud Encoding for Video

• Easy to Use: The intuitive interface is accessible to users with varying levels of technical expertise, making it ideal for captioning firms, video production companies, event organizers, and individual captioners.

• Customer Control: StreamText prioritizes client relationships by not collecting or using customer contact information, ensuring that relationships remain protected.

• Compatibility: The CC encoding works with virtually all captioning software, providing flexibility for any workflow.

• Cost-Efficient: There are no monthly fees, hidden charges, or licensing requirements—clients only pay for what they use.

Commitment to Accessibility

With this new cloud encoding service, StreamText solidifies its commitment to making captioning accessible, secure, and efficient for all users, helping businesses create inclusive video experiences with ease. For more information on how StreamText's cloud encoding can benefit your captioning needs, please visit StreamText.net.