Conductor’s New AI Strategy Takes a Human-Centered Approach to SEO Transformation

Conductor, the leading enterprise organic marketing platform, today announced its long-term strategic investment in Artificial Intelligence (AI). With a proven history of leveraging Natural Language Processing, Machine Learning, and other aspects of AI in its best-in-class suite of SEO technology, Conductor is scaling its investment in AI. It will be the single largest R&D investment over the next 3 years.

Central to Conductor’s strategy is the development of a new generation of GPT4-powered functionality and proprietary Large Language Models (LLMs) – advanced AI systems that process and interpret human-like text, or natural language. These LLMs will be trained on Conductor’s proprietary search intent database, expanding customers’ ability to quickly and efficiently create high-performance website experiences.

To differentiate from the majority of activity in the SEO category, Conductor is taking a highly intentional approach to building AI-driven features that both provides users with a blueprint to create high value, high quality marketing content from a human-perspective and to optimize content to rank organically within Search Engines like Google.

“While out-of-the-box AI models like GPT4 can get pretty good, the key differentiator will be our enhanced prompt engineering, refined/updated models and contextual data embeddings,” said Wei Zheng, Chief Product Officer at Conductor. “What will stand the test of time will be building better models that are specific to the needs you’re solving for, understanding the right signals to measure, and leading to actionable next steps – which can only be accomplished by an enterprise-level solution.”

Conductor is actively testing a new suite of AI-powered features with customers, with initial releases planned over the next few months. Initial focus will be around accelerating the content creation and optimization workflow. As AI further impacts how people search for answers beyond ranking links, the team is developing new ways to evaluate content quality within the product. Future initiatives will span from prioritizing and quantifying optimization opportunities to automating and personalizing key tasks that are typically manual and high-effort. Its R&D team is taking the time to lay the groundwork by developing and fine-tuning proprietary datasets and LLMs. This work will happen in tandem with ongoing efforts to unify Conductor’s data portfolio across Conductor, ContentKing, and Searchmetrics, resulting in fundamental improvements to the quality of data leveraged in its next generationAI models.

“Chat-GPT from OpenAI has democratized and commoditized AI,” said Alok Srivastava, Chief Technology Officer at Conductor. “But the results from a language model, like GPT4, only represents the floor of the value we can deliver in the Conductor platform, not the ceiling.”

As part of Conductor’s culture of innovation, every dollar is invested back into R&D to build a valuable and sustainable platform for customers. Conductor’s introduction of AI technology started early 2015, with Conductor’s keyword research solution, Explorer, as the first enterprise SEO feature to implement natural language processing, machine learning, and data science. With the launch of Content Guidance and the acquisition of ContentKing last year, Conductor also offers powerful content recommendations and 24/7 technical SEO auditing and website monitoring driven by AI technology.

Privacera AI Governance (PAIG) is the industry's first and most comprehensive AI data security governance solution

Privacera, the cloud data governance and security leader founded by the creators of Apache Ranger™, today announced the private preview of Privacera AI Governance (PAIG - pronounced \pa(i)-ge\). From the continuous scanning and classification of training data to the securing and auditing of AI models, model outputs, and user requests, PAIG empowers organizations to efficiently manage the entire AI data security lifecycle.

Generative AI and large language models (LLMs) have the potential to revolutionize enterprise operations and customer engagements, but the privacy and compliance risks associated with the presence of personal, private, and confidential information in training data and subsequent models have enterprises scrambling to ensure proper security and access controls are in place.

With native enforcement of security and privacy controls across diverse data estates, and architectures, and built on open standards, Privacera's latest innovation helps companies reduce sensitive data exposure, increase privacy and ethics, and address regulatory and legal compliance issues with AI.

PAIG fosters powerful AI data security governance and federated stewardship between IT departments and business teams. The solution brings together comprehensive data security governance for relational data, non-structured data as well as AI model training and access. PAIG combats the unpredictability of generative AI by helping companies avoid the potential misuse of data, address challenges in compliance policy enforcement, and reduce complexities that arise when runtime contexts are added during inference.

With PAIG, organizations can tap into Privacera's proven history of innovation in building massively scalable data and access security on AI and diverse data estates. PAIG is powered by the company's Unified Data Security Platform, which has set the standard for data in the big data ecosystem and the modern cloud data estate. This allows for a common security administration and monitoring platform across all data, along with consistent policies, roles, and controls across all AI models.

The combined solution provides compliance support for CCPA, GDPR, and HIPAA during the training, deployment, and utilization of AI models.

"The potential of generative AI and large language models (LLMs) to transform enterprise operations is immense, but their inherent unpredictability can unknowingly reveal intellectual property, Personally Identifiable Information (PII) and sensitive data," said Privacera co-founder and CEO Balaji Ganesan. "By providing organizations with an intelligent and adaptive AI data governance solution, Privacera continues its mission to empower enterprises to utilize their data as a strategic asset."

PAIG core capabilities include:

• High-performance AI-driven data governance and security for AI use cases. Building on the existing strengths of Privacera plus combining purpose-built AI and large language models to drive dynamic security, privacy, and access governance.
• Real-time discovery, classification, and tagging: Training data for generative AI models, as well as embeddings are continuously scanned for sensitive data attributes that then get tagged. More than 160 classifications and rules are pre-built in Privacera and organizations can expand on these based on their own requirements.
• Data access controls, masking, and encryption: Based on the discovery and tagging above, data-level controls are established to redact, de-identify, mask, encrypt, or even remove sensitive data and data that could introduce vulnerability in the pre-training data pipeline.
• Allow/deny prompts or responses based on governance policies. Real-time scanning of user inputs and queries for sensitive data elements and applying appropriate privacy controls based on user identity and data access permissions.
• Redact/de-identify sensitive data in prompts/responses. Real-time scanning for sensitive data elements in model responses and applying appropriate controls based on user's identity and data access permissions.
• AI-powered auditing and monitoring: Continuous monitoring and collection of model usage and user behaviors into large language models to power analytics into usage, security, and risk patterns.

Privacera is Exhibiting at Snowflake Summit 2023 and Data + AI Summit 2023 

• Snowflake Summit 2023: Privacera executives and team members will be onsite at the company's booth #1031-C to provide in-depth information and answer questions on how Privacera extends data access control, governance, and compliance beyond Snowflake to ensure consistent data access policies across the entire data estate. Booth visitors will also have the opportunity to learn more about PAIG and GDS onsite.
• Data + AI Summit: Click here to schedule a 30-minute meeting at our booth #818 to understand how Privacera fits within your enterprise data stack and can help you realize your organization's vision. We are also providing 10-minute custom demos to show how Privacera can migrate new workloads into the lakehouse, secure data sharing, and accelerate data democratization. Booth visitors will also have the opportunity to learn more about PAIG and GDS onsite.

Leading Provider of Revenue Optimization Tech for Publishers Sees Increasing Demand for Solutions to Monetize Websites, Mobile Apps and Desktop Applications

 Playwire, a global technology company specializing in maximizing ad revenue for publishers and app developers, announced today that the company’s portfolio of publisher partners had grown 20% in the past year, along with 30% year-over-year increase in headcount underscoring company momentum.

Long-standing publishers working with Playwire include coolmathgames.com, androidauthority.com, and mathplayground.com, with new additions in the real estate sector like Redfin and Rent.com. Playwire’s Revenue Amplification Management Platform (RAMP) helps those publishers and hundreds of others monetize their websites, mobile apps, and desktop apps to surpass the revenue they can earn managing ads themselves or with other tech providers.

“Publishers of all sizes are facing an environment that presents unique challenges to their businesses at-large. Between the deprecation of cookies, multi-region privacy laws and winnowing marketing budgets, publishers are in need of the latest tools, technology and insights that can keep their businesses thriving,” said Anthony Berrena, Chief Revenue Officer at Playwire. “Our firm’s growth underscores the broad trends we are seeing in the market and a sign of publishers' need for guidance across a publishing landscape that is enduring a seismic shift, the likes of which haven’t been seen for nearly two decades.”

Since 2007, Playwire has helped publishers from more than a dozen countries maximize their ad revenue through a comprehensive set of ad tech products and services bundled together in their easy-to-navigate RAMP platform. Key components that make the platform unique are built-in machine learning and AI algorithms that maximize revenue by dynamically setting header bidding variables, price floors, refresh behavior, and more. RAMP also includes features built for transparency and publisher growth, like Advanced Yield Analytics, a pre-bundled Data Management Platform, and solutions for data monetization, creating a powerful platform to maximize publisher revenue across both display and video.

“The vast majority of programmatic technology that has been built to date has been designed for the demand side, and publishers have been at a disadvantage,” said Stacy Willis, SVP of Marketing and Customer Experience at Playwire. “Our expanding list of publisher partners and growing headcount in the past year underscore our commitment to supporting publishers as the heart of this thriving digital ecosystem.”

“Playwire’s analytics dashboard is the only one in the industry to combine revenue data with data from Google Analytics 4, which provides publishers the insights they need to drive their business forward,” Willis said. “As publishers lean into first-party data collection and take advantage of AI technology to drive more revenue, Playwire’s platform can deliver a 20% incremental lift or more, which can make a huge difference for publishers of every description.”

Unleash rapid innovation to drive sustained and profitable business outcomes

IGT Solutions launched its innovative and advanced enterprise-wide Generative AI platform – TechBud.AI. The cutting-edge generative AI platform promotes rapid innovation and helps businesses achieve faster results and elevated customer experience with a seamless enterprise-wide Generative AI adoption. Enabled by large language model, it is a secure platform that addresses real-world business challenges. TechBud.AI is a reliable and safe tech-expert AI buddy to address queries, support tasks, and make life easier for its users.

In partnership with OpenAI GPTv4 by Microsoft, the platform harnesses the power of Generative AI in a flexible, responsible, secure, and scalable manner and caters to the needs of multiple industries. TechBud.AI is well-positioned to meet compliance (like achieving GDPR compliance in two weeks), privacy (like secure cloud instance for data privacy), and innovation needs.

Vipul Doshi, CEO of IGT Solutions, said, "While businesses are still struggling to differentiate themselves in a crowded market, we are excited that our platform helps our clients adopt the revolutionary AI techniques seamlessly. Drawn from the deep expertise of our AI team, TechBud.AI ensures immediate and sustained profitability for our clients".

The comprehensive platform enhances efficiencies across organizational functions. 

"We have established industry-focused innovation hubs to drive innovation. We are supporting our clients to achieve tangible benefits and build advanced capabilities. For example, we support the travel industry with use cases for itinerary planning, tracking and claiming baggage, rescheduling travel, and personalizing trips as per traveler preferences", said Akhilesh Agarwal, Chief Operating Officer of IGT Solutions.

It has advanced features like:

• Integration with external systems like GDS and payment gateways
• Text translation in multiple languages, conversation history support, and speech-to-voice and text-to-speech translation
• Integration with Cognitive AI (like OCR) and Langchain frameworks for complementing the capability of GPT for a more comprehensive business use case
• Crawling the web for the latest and recent updates
• Ability to leverage in-house developed advanced solutions (powered by GPT v4) like FNI for refund calculation, iVA for video analytics, iQD for queue distribution, and iTAG for data annotation
• A working demo of TechBud.AI is available with relevant use cases for the first 30 days as a free trial.

IZEA Worldwide, Inc. , the premier provider of influencer marketing technology, data, and services for the world’s leading brands and agencies, released its latest research report, Influencing AI 2023, today. The report is based on a survey of more than 1,100 U.S. internet users ages 18-60+ years and aims to understand the state of adoption, usage, and awareness of AI technology and AI-generated content while monitoring AI’s impact on the daily lives of the average consumer. When asked if they believe AI technology will significantly impact society in the near future, 84% of all survey respondents answered yes.

From AI chatbots and writing assistants to self-driving cars, AI is becoming deeply embedded in today’s society, empowering users with personalized experiences and unprecedented convenience. The survey found that 31% of all internet users actively integrate AI technology into their daily routines. Users are boldly exploring its capabilities, and according to the study, 54% of all respondents who use AI say that it saves time, and 41% say it increases productivity. Although AI is becoming increasingly more prevalent, 86% of all respondents believe that users should disclose AI-generated content. Last month, IZEA announced the industry’s first disclosure engine for generative AI content.

“Artificial intelligence has quickly become an essential tool for progress, productivity, and ideation not only in industries like influencer marketing but in the average consumer's daily lives,” said Ted Murphy, Founder and CEO of IZEA. “Consumers are becoming increasingly more comfortable and less apprehensive of AI, unlocking its endless possibilities. We are witnessing a transformation of the information age, and I am enthusiastic about what’s to come.”

AI Adoption Key Insights:

• More than a third of men, at 38%, are using AI compared to just under a quarter of women, at 24.6%.
• 42% of individuals ages 18-29 have embraced AI technology, with Gen Z and younger millennials at the forefront of its adoption.
• More than half of social media influencers (66.8%) actively incorporate AI, further establishing their status as trendsetters.

AI Usage Key Insights:

• The majority of AI users, 67%, say they utilize AI for home and personal use.
• 56% of individuals ages 45-60 incorporate AI in their workplaces, while 46% of those ages 18-29 use AI for academic pursuits.
• Those ages 45-60 are most likely to say they use AI every day at 56%.

AI Disclosure Key Insights:

• 86% of all respondents believe that AI-generated content should be disclosed.
• Younger age groups notice AI-generated content more, with 73% of those ages 18-29 noticing AI-image content compared to 43% of those over 60.
• AI users have the edge over non-users, with 85% saying they successfully identify AI-generated image content.

AI Trust Key Insights:

• 64% of all respondents 18-29 say that AI is better than the average human at creating images, and 68% say the same about text content.
• AI users tend to trust AI the most, with 77% of all AI users saying AI creates better images than average humans.
• More people ages 18-29 say they trust AI to create research reports on the history of the U.S., at 29%, than those who trust their partner or family to do the same at 23%.

AI Outlook Key Insights:

• The vast majority (84%) of all respondents believe AI will have a significant impact on society in the near future.
• Job displacement, privacy and security, and lack of transparency are the top three concerns people have about AI.
• Current AI users are 5.6 times more likely to say they are “very optimistic” about AI than non-users.

New Generative AI Use Case Collection, Responsibility Framework and Platform Capabilities Build on Enterprise AI Leadership to Accelerate Real Applications With Real Safety

Dataiku, the platform for Everyday AI, today announced breakthroughs in Generative AI enterprise applications, safety, and tooling. Developed from the invaluable experience gained from working with over 500 customers, these innovations push beyond the boundaries of traditional chatbot functions and unlock the potential for meaningful, real-world enterprise applications. Given that Gartner® indicates “70% of organizations (are) currently in exploration mode with Generative AI” and with 90% of enterprise executives harboring concerns (according to KPMG), Dataiku’s announcement arrives at a pivotal moment.

“We've seen hundreds of our customers exploring how to better leverage Generative AI. Most  have started to compile a list of potential use cases and evaluate them through the prism of feasibility, business impact, and risks. We've distilled the top use cases which are real, actionable, and repeatable today, on our platform. The companies that succeed at this today are going to be out of reach of their competitors a year from now. This is the moment when the future winners are decided. It's exciting for Dataiku to be part of it,” said Florian Douetteau, co-founder and CEO of Dataiku.

Fueling Real Applications at Scale With the Generative AI Use Case Collection

Dataiku’s newly released Generative AI Use Case Collection is a leap forward in applying Generative AI in the enterprise. Having identified common design patterns for the application of Generative AI, Dataiku has built an initial batch of 16 Generative AI Use Cases that apply this revolutionary technology to real business needs. This new approach will allow enterprises to move out of an artisanal approach of building custom Generative AI projects and into the industrial-scale development and deployment of these use cases, moving out of the research lab and into the corporate office.

Examples in the Generative AI Use Case Collection include:

• Predictive Maintenance Data Explorer: Privacy-preserving, automated generation of insights into the performance of factory machines
• LLM-Enhanced Next Best Offer: Legal-approved, automated generation of promotional emails, including highly accurate product recommendations
• IT Support Advisor: Always-accurate assistants that query complex policy documents and contracts, accelerating the work of support agents

Readying Enterprise for Coming AI Regulation With an Actionable Framework

With the arrival of a wave of policy proposals seeking to protect both workers and consumers from potential harms of AI such as the U.S. Blueprint for an AI Bill of Rights and the EU AI Act, Dataiku is announcing its RAFT Framework for Generative AI use cases (Reliable, Accountable, Fair, and Transparent). Based on years of pioneering work on Responsible AI with the compliance, risk, and ethics teams at some of the world’s largest companies, the framework provides actionable steps that enterprises can take now to be ready for future regulation. Taking into account enterprise realities and the input of experts in public policy, digital ethics, and AI bias, the framework balances the need to move quickly on AI while doing so safely and responsibly.

Turning Prompt Engineering Into Enterprise Activity

“Popular imagination is hung up on a naive and limited vision of Generative AI’s potential. Simply put, you are not going to transform the way that an enterprise performs through one-off questions and answers to a chatbot. Real applications will see Generative AI being woven into a company’s data and machine learning workflows,” said Clément Stenac, co-founder and CTO of Dataiku.

Dataiku is building on top of its latest product update, Dataiku 12, adding capabilities that will make that vision a reality. Dataiku’s Prompt Studios allows many more people to become highly-proficient prompt engineers, building reusable, enterprise-grade prompts that can be part of production data workflows. Prompt Studios is now available in limited preview.

Dataiku Uses Generative AI to Enable More Interesting, Data-Driven Jobs

Today, a business person needs to translate their business ideas into the data vocabulary of tables and columns. With Generative AI, we can automate this translation in Dataiku, enabling an even wider population of users to play with data by talking to it.

Dataiku’s AI Prepare allows people with the widest possible range of skills to build production-ready data transformations, simply by typing what they want done to their data. This breaks down the last barriers between knowing what needs to be done and making it happen in enterprise databases and cloud environments. AI Prepare is now available in limited preview.

Resources and Availability

The Generative AI Use Case Collection and RAFT Framework are available today, you can access the applications and more at https://www.dataiku.com/product/generative-ai/.

The Prompt Studios and AI Prepare are now available in limited preview. Additional platform capabilities will become available in the coming months with more deeply-integrated features that collectively will be the picks and shovels used in the Generative AI gold rush.

• New ML Kit streamlines deployment of AI-enhanced low-code applications

• Mendix is first low-code application platform to enable secure, in-app deployment  of AI models

• Customizable "Best Practice bot," "Data Validation bot," and first step towards Generative AI with "Mendix Chat" join Mendix Assist portfolio of AI-assisted developer tools

  Mendix, a Siemens business and global leader in modern enterprise application development, today outlined powerful new and robust  AI and machine learning capabilities, including innovative context-aware AI developer tools, which will all be available upon the release of Mendix 10, to be announced during a live streaming event on June 27th. 

  The new AI and Machine Learning enhancements reinforce the status of Mendix's low-code platform as the de facto standard for building smart business applications and solutions. Mendix 10 features greatly expanded AI capabilities in two major areas. First, Mendix 10 empowers the enterprise to seamlessly integrate AI use cases with low-code applications using Mendix's new Machine Learning Kit. Secondly, the platform greatly expands the scope and functionality of AI-enabled application development. 

  Infusing low-code applications with AI enablement via Mendix's Machine Learning Kit 

  Addressing an urgent market need to integrate and deploy AI into applications, Mendix 10 features a new Machine Learning (ML) Kit that empowers enterprises to build solutions incorporating custom AI models within applications using the developer's desired AI framework and language. These include pretrained models built with  PyTorch, Caffee2, Cognitive Toolkit, and other common AI frameworks that have adopted the Open Neural Network Exchange (ONNX) standard. ONNX-based models can be easily imported into Mendix's integrated development environment (IDE) and weaved into a Mendix application. In doing so, this offers support for various inference patterns, and pre- and post-processing logic. The Mendix runtime has been enhanced to support seamless execution of ONNX-based models, enabling the ML model to run in the same environment as the application.

  The ease of packaging and deploying these pre-trained models — whether open sourced or developed internally — within Mendix applications brings the low-code experience of speed, scalability, superior UI, and accelerated time-to-market to enterprises seeking to harness AI technology for business value and ROI.

  By eliminating time-consuming tasks of manual integration, the ML Kit can reduce AI deployments from weeks to hours. The lower latency of the built-in integration of embedded AI models versus API-based integration drives the superior performance of AI-enhanced applications as the ML model runs in the same container as the application. Also, embedded AI model deployment enables the robust continuity of AI services when used offline, on-edge, or in IoT uses. Finally, in-application deployment of ML models eliminates the need to upload enterprise data or IP to third-party systems outside of the Mendix application landscape, thus providing another layer of security.  

  The Mendix ML Kit is based on Open Neural Network Exchange (ONNX), an open-source framework created in 2017 to enable framework interoperability. ML Kit provides access to dozens of pre-trained, out-of-the-box machine language models from the ONNX Model Zoo that are fully customizable.

  "Enterprises with sophisticated machine learning capabilities can easily incorporate their models into Mendix applications using the ML Kit," said Amir Piltan, Mendix's senior product manager for AI. "But for those earlier in the adoption curve, it is not necessary for enterprises to build models from scratch. They can start with the ONNX Model Zoo, fine-tune the model for specific use cases, and keep their data and AI model secure, as it never leaves their Mendix ecosystem. This makes AI deployment easier from an operational, commercial, and governance standpoint."

  Empowering the full spectrum of developers with real-time AI assistance 

  A second area of enhancements targeting developers features the new Mendix Assist Best Practice bot that provides a virtual AI-enabled "co-developer" that inspects applications in real-time to implement Mendix software development best practices. The Data Validation bot helps developers build validation logic in an automated way using pre-built expressions. These platform upgrades to the Mendix Assist bot family put the power of software development into the hands of a broad spectrum of developers, e.g. enabling business technologists to create solutions with AI assistance to ensure the highest level of quality.

  Mendix's new bots also serve as valuable resources for skilled developers, helping to ensure that their applications conform to Mendix development best practices by identifying development anti-patterns, providing their location, and guiding developers on how to address and resolve them.

  At their core, the new AI-driven bots are designed to boost the productivity and efficiency for Mendix developers across a range of skill sets while optimizing the performance and quality of Mendix applications.

  Uniting low-code and AI for turbocharged solutions 

  "We believe AI tools and low-code development are a natural fit to build better software faster," said Hans de Visser, Mendix's chief product officer. "Enterprises using low-code will be able to extract more value from AI in an efficient way using the new features of the Mendix 10 platform."

  De Visser added, "Our next step will be the introduction of "Mendix Chat," a chat bot in the Mendix IDE that will guide developers on how to apply certain concepts or patterns. We are currently training a large language model based on sources drawn from Mendix Forum, Mendix documentation, and our support system. Next, we will bring generative AI into our DSLs and generate models and model elements based on natural language input. This means app developers and business domain experts will be able to use free text — a user story — and from that, generate application models."  

  Clearing the path for in-platform AI integration
  Despite the current popularity of a new generation of smart applications, companies and analysts are finding significant barriers that prevent enterprises from leveraging the promised ROI of AI-enhanced business solutions. According to Gartner, more than 50% of CIOs have shelved successful AI-focused pilot programs due to production-oriented obstacles, including cost, complexity, time constraints, and talent shortages.

  "We have applied the core principles of low-code abstraction and automation for customers seeking a connected landscape to embed their machine language models into an application," said Amir Piltan, Mendix's senior product manager for AI. "Mendix is the first platform that enables developers to easily drag and drop ML models into the application's logic and deploy it without the need to use an outside service."

  Piltan adds, "The combined use of Mendix Assist bots and the ML Kit will boost developer productivity across the entire lifecycle of software development,  enabling them to build smart apps in a smart way. With Mendix 10, enterprises are empowered to meet ever-changing market demands and deliver innovation quickly."

Renewal agreement enables Qples to continue expanding its scale and impact as momentum for new 8112 Universal Digital Coupons accelerates.

Fobi AI Inc. , an industry leader in harnessing AI and data intelligence to enable digital transformation, is pleased to announce that the Company’s subsidiary, Qples by Fobi, has renewed its annual contract agreement with leading marketing solutions provider, Vericast. The renewed contract continues a previous two-year agreement in which Qples provides the backend infrastructure for Vericast’s Universal Digital Coupon solution. Fobi will generate revenue from this agreement through an annual licensing fee as well as per campaign and per coupon fees.

Vericast possesses a broad and diverse portfolio of print and digital marketing solutions, and works with thousands of businesses in several industries that include some of the largest retail and CPG brands in the world.

RENEWAL AGREEMENT CONTINUES DRIVING INCREASED ADOPTION OF 8112 UNIVERSAL STANDARD THROUGH VERICAST’S DIGITAL COUPON SOLUTION

Vericast is the first marketing solutions company to launch a Universal Coupon solution with store-level redemption insights, precise consumer targeting, and scalable reach. Universal Digital Coupons issued by brands and redeemable on consumers’ mobile phones across participating retailers are delivered through Vericast’s extensive digital marketing portfolio, including display and video advertising, dynamic mobile, connected TV, and more. Vericast’s integrated store-level coupon redemption data also supports real-time adjustment of Universal Coupon media for optimized performance.

Fobi is the only company that can create 8112 coupons and deliver them across multiple touchpoints, such as Fobi’s Wallet Pass platform for mobile phones, in apps such as the Grocery Coupon Network (GCN), and for print-at-home. With this contract renewal, the increased opportunities for highly targeted and personalized offers will continue to generate a higher volume of coupon redemptions and subsequent revenue growth for Qples. Vericast will also continue to execute Universal Coupon campaigns to create enhanced improvements to the customer experience and reduce coupon fraud, which is a long-standing industry challenge that costs retailers and CPG brands between $300-$600 million every year.

Eddy Watson, President of Qples by Fobi, stated: “This contract renewal with Vericast is a big win for Qples. We’ve been able to establish a great working relationship with Vericast that allows us to come together and deliver digital solutions that advance the new Universal Coupon format for many retailers and CPG brands. As the evolution of digital coupons gains more momentum, especially now that 8112 is live in select retail locations, we couldn't be in a better position to help retailers & CPGs succeed in the digital transformation of their coupon strategies.”