New Innovid Study Reveals Disconnect Between Measurement & Optimization Across Converged TV, Resulting in Business Impact

Although the majority of marketers (56%) spend more than half of their time optimizing converged TV ad performance, only 40% believe their ad optimization practices are "very good." This means, despite the time investment, the majority (60%) believe their optimization efforts fall short. That's according to the findings of a new study released today by Innovid, an independent advertising platform for the delivery, personalization, and measurement of converged TV across linear, connected TV (CTV), and digital, to spotlight how advertisers are investing significant time and money into converged TV.

The study, "The Converged TV Disconnect: Advertisers on Bridging the Gap Between TV Measurement Insights & Results," surveyed more than 250 brand and agency professionals, also found that when it comes to measurement, nearly 90% of respondents say that a unified view of converged TV across linear, CTV, and digital is important, with 91% saying that standard KPIs across converged TV advertising are important at some level. However, almost two-thirds (62%) use separate measurement partners and advertising management and delivery platforms, incurring data loss and increased integration needs.

"According to eMarketer, spending on CTV ads has skyrocketed by about 400% since 2019 – and with more ad dollars spent on converged TV as a whole, brands and agencies feel increased pressure to prove the efficiency and effectiveness of their investments," said Dave Helmreich, Chief Commercial Officer at Innovid. "A unified view of performance across the converged TV landscape is critical but with measurement done separately from campaign management and optimization, there is a disconnect for advertisers to be able to effectively drive ROI. Converged TV optimization needs to be made seamless for advertisers through real-time measurement that is immediately actionable and can deliver results. InnovidXP provides marketers with a unified view, actionable insights, and the ability to automatically optimize campaigns to drive business results – bridging the gap with a single, fully integrated platform."

Innovid's "Converged TV Disconnect" study also revealed that:

• Optimization Frequency Isn't Keeping Pace with Measurement: More than two-thirds (68%) of respondents stated they are measuring campaigns on, at least, a weekly basis, with almost four in 10 (39%) measuring ad performance either daily or in real time. But advertisers aren't optimizing ad campaigns as often as they measure campaign performance: Just 57% say they're implementing media optimization for converged TV campaigns on a weekly or more frequent basis. That's more than 10 percentage points below how often they measure.
• Engagement, Outcome, Reach: When respondents were asked to rank which metrics they were most interested in optimizing by, Engagement by Platform/Publisher ranked highest, followed by Engagement by Creative, Outcome by Creative, Reach by Platform/Publisher, and Outcomes by Platform/Publisher.

Truepic furthers its commitment to transparency and authenticity through Framework guidelines for Generative Artificial Intelligence

Truepic, provider of authenticity infrastructure for the internet, announced today that it has joined Partnership on AI’s Responsible Practices for Synthetic Media: A Framework for Collective Action. Using the Framework, Truepic and other tech industry leaders like Adobe, Meta, Microsoft, and Google commit to responsibly developing, creating, sharing, and identifying synthetic media. 

Since its inception in 2016, Truepic has built technologies that power transparency, disclosure, and authenticity in visual content. Most recently, Truepic worked with researchers from MIT Media Lab to add secure, cryptographic content credentials to over 30 AI-generated videos as part of on-going research on political deepfakes. Truepic also partnered with the acclaimed production studio, Revel.ai, and Generative AI thought leader Nina Schick, to create the world’s first transparent deepfake video using cryptographic signing to display the provenance of the video. As a founding member of the Coalition for Content Provenance and Authenticity (C2PA) and Content Authenticity Initiative (CAI), Truepic is committed to developing and implementing technical standards that certify the source and provenance of digital media. 

Similarly, the Partnership on AI (PAI)’s Responsible Practices Framework for Synthetic Media is based on the core principles of transparency, disclosure and consent. The first-of-its-kind Framework offers recommendations for builders of technology infrastructure, creators, distributors, and publishers who contribute to the societal impacts of synthetic media. PAI outlines crucial techniques for ethically developing and sharing synthetic media, including the C2PA open standard, and its guidelines will continue evolving alongside ever-changing technology. PAI is a non-profit partnership of academic, civil society, industry, and media organizations creating solutions so that AI advances positive outcomes for people and society, and led the iterative multistakeholder process to develop the Framework.

Truepic joins the Framework as a launch partner alongside Thorn, Meedan, and Code for Africa. Truepic will continue to pioneer projects to provide interoperable, secure, tamper-evident transparency and disclosure for synthetic media and AI-generated content in the moment of creation. 

“We have long believed that secure media provenance is the best way to ensure transparency online and elevate authenticity in digital content,” said Jeff McGregor, Truepic CEO. “Joining the Partnership on AI’s Framework is a natural progression of our work on authenticity and disclosure in digital media. We believe the Framework will continue to guide best practices and policies for the ethical, transparent use of generative AI. Our mission continues to be a more authentic, transparent internet, and we’re excited to support the Framework with this mission in mind.”

“It is easier than ever to create and share AI-generated media, making it urgent for companies to adopt and implement practices that promote transparency,"  said Claire Leibowicz, Head of AI and Media Integrity at Partnership on AI. “With Truepic’s focus on using technology to disclose how content was created and edited, they are a valuable new addition to PAI’s Synthetic Media Framework community.”

A PDF of the Framework can be found here.

unitQ GPT revolutionizes how product builders, engineers and support leaders understand real-time user feedback to build superior products, fix bugs faster and resolve trending support issues.

unitQ, the leader in Quality Automation, today introduced unitQ GPT, a generative AI engine for measuring the quality of your products, services and experiences. unitQ GPT harnesses unitQ's proprietary AI models to extract meaning from support tickets, surveys, app reviews, social media posts and product engagement data to connect the dots between what users say and do.

unitQ is empowering its customers to ask even more complex questions and get clear, immediate answers from hundreds of millions of pieces of granularly categorized user insights that they can trust to make critical business decisions. With unitQ GPT, companies can learn directly from what users are sharing, across any feedback source in any language, inclusive of engagement data and user metadata like device type and payment tier — all in real-time.

To use unitQ GPT, just ask a question and get an answer:

For unitQ customers struggling with prioritizing tasks based on impact, unitQ GPT can answer questions including the following:

• "How can I improve iOS user retention?"
• "How should I prioritize my bug backlog based on revenue impact?"
• "How can I reduce support tickets?"

For unitQ customers interested in identifying end user pain points, unitQ GPT can answer questions including the following:

• "Did I introduce any new issues in my newest release?"
• "What are the top feature requests related to search?"
• "What are five quotes from users talking about their favorite features?"

Category leading companies like Bumble, a values-driven business that enables people to build healthy and equitable relationships through Kind Connections™, are delivering incredible experiences to their members by paying attention to what they like, dislike, and want more of with unitQ's AI-powered user insights.

"At Bumble, my team is focused on delivering the best possible customer experience to our members everyday. unitQ GPT will help us turn insights to action, so that we can have a larger impact on the business and better serve our members across the globe," said Cathleen Doorenbosch, VP of Customer Care, Bumble. "With unitQ GPT, we'll be able to identify trending support issues, spot new bugs, and see what's driving the sentiment of new product releases with an easy to use, conversational interface that queries member feedback in real time. This will transform the way we work across the company, from support to product to engineering."

unitQ GPT is democratizing access to AI user insights, allowing companies like DailyPay, the industry leader in on-demand pay, to deliver even higher quality experiences to their members. This means fewer bugs, better user interfaces, less support issues, and delivering on the product features members are asking for most.

"At DailyPay, we are constantly innovating our product and identifying new ways to improve the experience for our valued users," said Darlene Miranda, VP and General Manager, Enterprise Product, DailyPay. "unitQ GPT speaks to that mission with its accuracy, transparency, and ability to speed up the team's natural workflows. It feels like having an extended member of our team that can answer the most pressing questions to make every user's experience 10x better."

unitQ GPT is purpose-built to empower organizations to drive growth with AI user insights and is: 

• Easy to use: unitQ GPT leverages user feedback and engagement data from 60+ sources to answer critical business questions and provide supporting visualizations. With all teams leveraging the same user insights, going from hypothesis to resolution has never been faster.
• Opinionated and actionable: Because unitQ GPT leverages our cleansed, translated and granularly categorized data, it deeply understands your business like a tenured employee. It can prioritize initiatives and suggest product improvements to optimize KPIs.
• Built for transparency and security: unitQ supports its conclusions with citations, allowing you to verify insights in a single click. Trust extends deep into unitQ GPT's architecture, with enterprise-ready security and automatic redaction of all personally identifiable information.

"Our customers today rely on unitQ to distill insights from hundreds of millions of pieces of user feedback everyday. Our insights are informing roadmaps at Fortune 500 companies and have caught bugs and product quality issues impacting millions of users," said Christian Wiklund, CEO and Co-Founder of unitQ. "unitQ GPT is the next milestone in our product evolution. With unitQ GPT, our customers can access powerful, game changing information about their business and product by simply asking a question and getting an answer in seconds."

• The number of video services used by consumers has declined slightly over the past 6 months as the adoption of ad-supported video increases

• SVOD churn remains considerable as consumers are becoming more agile in juggling their entertainment needs

Research released today from TiVo Platform Technologies LLC (TiVo), a wholly owned subsidiary of entertainment technology company Xperi Inc. (NYSE: XPER), found an emerging shift in entertainment consumption that is changing how consumers view entertainment spend and usage. The average number of streaming services used by consumers decreased from 11.6 in Q4 2022 to 10.9 in Q2 2023, followed by a decrease in consumer spending from an average of $189 a month to $170 over the last six months. While consumers are undoubtedly reconsidering their spending habits, this change has shown growth in consumer video consumption; the report saw a jump from 4.4 hours a day in video consumption in Q4 2022 to 4.7 hours per day.

When looking at how respondents spent their time watching video, the report found that ad-supported video on demand (AVOD) and free ad-supported streaming TV (FAST) consumption increased considerably from Q4 2022. This increase in AVOD/FAST is a reflection of consumer budget constraints and major subscription video on demand (SVOD) companies offering lower-cost services that generate higher ad revenue. This new SVOD/AVOD hybrid structure allows users to consolidate their subscriptions, cut costs and still watch the same or more amount of content. With less disposable income available among consumers, the demand for flexibility in entertainment choices has surged in response to the evolving preferences in entertainment over the recent years.

As entertainment consumption rises, content discovery continues to be a pain point for many consumers. When trying to select a movie or show, 82% of consumers are prone to browsing before making a final selection - with over 60% use multiple apps in their pursuit.

“Consumers know what they want in a video service and are adjusting their entertainment habits to fit their needs – whether that be cancelling their SVOD subscriptions or reviving their cable,” said Scott Maddux, VP of global content strategy and business at Xperi. “As we continue to see this shift in consumer behavior it’s essential that entertainment providers focus on solving consumer content discovery issues to help consumers who are juggling their entertainment needs get back to what’s important, enjoying entertainment.”

Additional TiVo Video Trend Report Highlights

• TV is King: In competition with other devices like smartphones, tablets, and computers, TV remains the preferred choice by more than 3x other types of devices for watching video. Although, preference for watching on TV is slipping, with only 63.7% currently reporting a preference for watching content on this device – compared to 73.4% in Q2 2022. The drop appears driven primarily by pay TV subscribers.
• Word of Mouth Leads Discovery: When it comes to discovery methods, the percentage of those who find out about new TV shows or movies from commercials has declined 6% year-over-year. In comparison, word of mouth and recommendations from friends remain as strong as ever, inching out commercials as the most common method of discovery in the spring of 2023.
• Local Content Remains Important: While virtual multichannel video programming distributor (vMVPD) continues to be a top competitor to pay TV, 28% of people who cut the cord later decided to resubscribe to traditional TV to solve their need to watch sports, live events and local programming. Of all time spent watching video, 22.6% was spent watching different types of local content.

Trends To Watch

As the entertainment industry continues to grow and shift, Xperi is noting the following trends as ones to watch:

• In-Car Media Consumption on the Rise: Of those who watch video in the car, over 80% do so at least a few times a month, with 49.8% saying they do so to pass the time while waiting for something. The introduction of larger in-cabin screens in vehicles marks a pivotal moment in the evolution of in-car entertainment, allowing consumers to easily access and enjoy video content within the car.
• Subscription Seasonality Spikes: As consumers become more agile in managing their entertainment needs, a rise in cord reviving or adjusting subscriptions based on when live events or show premiers launch may increase in popularity. The report found that one of the top reasons consumers signed up for a SVOD service in the last six months was because it had one specific show or movie they wanted to watch (31.9%).
• Smart TV Brand Loyalty Will Remain Strong: As the use of smart TVs continues to increase, so will smart TV brand loyalty. A trend emerging from the report shows that only 1.6% of respondents with three or more smart TVs in their home have three different brands.

Find more information from the latest Q2 2023 Video Trends Report here.

Additionally, TiVo is an expert in video trends and TV viewership data. TiVo TV Viewership Data includes second-by-second level data captured from set-top-boxes within households across all 210 DMAs in the U.S. The data reflects both live or time-shifted viewership information which is the cornerstone of TiVo’s expertise in TV data processing. Find more information about TiVo’s Viewership Data here.

Methodology

Since 2012, TiVo has surveyed consumers to uncover key trends relevant to TV providers, digital publishers, advertisers, and consumer electronics manufacturers. The latest TiVo Video Trends Report surveyed 4,518 adults 18 and older living in the U.S. and Canada during the second quarter of 2023 (3507 US, 1101 Canada). In addition to identifying and analyzing key trends in viewing habits, the TiVo Video Trends Report provides insight to consumer opinions regarding Subscription Video on Demand (SVOD), Transactional Video on Demand (TVOD) and Advertising-Based Video on Demand (AVOD) providers, emerging technologies, connected devices, over-the-top (OTT) apps and content discovery features, including personalized recommendations and search.

Integration of transactional email into Telesign’s omnichannel Messaging and Verify APIs serves to further enhance customer communications

Telesign, the leading provider of customer identity and engagement solutions, today announced the expansion of its omnichannel Messaging API to include transactional email capabilities. This addition empowers businesses with a global, scalable, and flexible solution to elevate their customer engagement strategy. Telesign enables businesses to effortlessly incorporate email communication into their brand omnichannel platform with this new seamless integration. Via a single messaging API, Telesign customers can reach and engage their customers across SMS, MMS, RCS, WhatsApp, Viber, and now email.

Transactional emails are messages triggered by specific user-initiated actions initiated by users. Unlike promotional emails, transactional emails focus on delivering important and relevant information to recipients, such as account updates, purchase confirmations, or security alerts related to user activities. They boast 2x more opens and 3x better click-through rates compared to average emails, making them highly effective in engaging recipients. With Telesign’s email capabilities, businesses can reliably reach and engage their customers when it matters most.
  
“Email is a cornerstone of communication that allows businesses to establish relationships with customers,” said Telesign Product & Portfolio Vice President Chris Thompson. “With the integration of transactional email into our omnichannel Messaging API—which now includes SMS, MMS, RCS, WhatsApp, Viber, and email through a single API—businesses now have access to a more comprehensive communications platform. Telesign’s expansion into transactional email enables companies to engage customers more effectively and enhance the overall end-user experience.”

“Integrating transactional email capabilities into Telesign’s Messaging API marks a significant advancement within today's digital landscape, making it easier and more cost-effective for companies to enhance their digital communications with customers,” said Daniel Newman, CEO of The Futurum Group. “In a climate with rising tides of data breaches, Telesign is at the forefront in helping businesses take proactive measures and foster a more secure environment in digital transactions.”

Key Benefits of Telesign’s Transactional Email Solution

Transactional emails are an essential engagement tactic throughout the customer journey. From purchase confirmations to password resets and order shipment notifications, these types of emails ensure instant delivery and exceptional open rates.

They also create positive experiences, enhance brand engagement, and increase customer satisfaction. By layering transactional emails across the customer journey, businesses can deliver a trusted experience that resonates with their customers.

Telesign’s all-in-one messaging API enables businesses to reach and engage customers on their preferred channels worldwide. More businesses are embracing omnichannel communication to streamline operations, as this option accelerates time-to-market, delivers a superior customer experience, and provides an additional channel choice.

New Use Cases for Transactional Email

• Verification Notifications: Enhance security and authenticity by sending verification links to users’ email addresses.
• Password Resets: Make it quicker and easier for customers to regain account access with email-based password reset links.
• Order Confirmations: Instill confidence in customers by providing timely and detailed order confirmation information via email.
• Account Onboarding Notifications: Guide users through the initial stages of the onboarding process with step-by-step instructions via email.
• Double Opt-in Strategy: Increase the likelihood of users completing the opt-in process successfully by using omnichannel email to deliver verification links.
• Reminders: Increase conversion rates by sending timely email reminders for appointments, subscriptions, or abandoned carts.
• Follow-up Surveys: Gather valuable customer feedback by sending post-interaction surveys via email.

KORE, the leading engagement marketing platform for the sports and entertainment industry, is proud to announce its newest joint-client with Sports Alliance and first-ever Netherlands-based customer, PSV Eindhoven. This milestone marks a significant step in KORE's expansion into the European market and reinforces the company's commitment to delivering cutting-edge solutions to sports organisations worldwide.  This development is a direct result of KORE's recent acquisition of digital marketing solutions provider Sports Alliance and the first Sports Alliance client to expand into the KORE platform.

PSV Eindhoven, a prestigious football club founded in 1913 and based in Eindhoven, has earned a well-deserved reputation for excellence on and off the field. As a top-tier Dutch Eredivisie team, PSV's ambitions include being a perennial contender for the Dutch championship and striving for UEFA Champions League glory, all while fostering a top sports climate with professionalism at its core.

KORE's partnership with PSV is a testament to the strong relationships forged by the Sports Alliance team. This landmark collaboration will see the integration of KORE's Activate software into PSV's operations, empowering the club to manage its partnerships business in ways previously unattainable. This landmark deal, spanning five years, represents a true partnership between KORE and PSV, aimed at elevating partner activation management and optimising sponsorship revenue streams.

"We are thrilled to welcome PSV Eindhoven as KORE's first Netherlands-based client," said Matt Roberts, Sr. Director, Customer Strategy & Success (EMEA) at KORE. "This is not only a significant milestone for KORE's global expansion but also a testament to the great collaboration between PSV and Sports Alliance historically to bring us to this point. PSV's commitment marks the first instance of KORE 'software' cross-selling with a Sports Alliance customer, and it exemplifies our unwavering dedication to delivering exceptional solutions to our valued partners."

Activate, KORE's premier asset management software, will enable PSV to seamlessly manage its activation assets and strategically cultivate and nurture partnerships like never before. With its robust and intuitive features, Activate provides PSV with an unprecedented level of control and insight into its partnership ecosystem, unlocking new opportunities for growth and revenue generation.

"We are enthusiastic about our collaboration with KORE" said Koen van Haastert. "Activate's capabilities align perfectly with our vision of becoming a frontrunner in fan engagement and partnership management. This partnership will enable us to maintain the highest levels of professionalism on and off the field, and we look forward to achieving remarkable milestones together."

MongoDB Atlas Vector Search now includes extended capabilities for querying contextual data and performance improvements to accelerate building generative AI applications

New integration with Confluent Cloud and MongoDB Atlas Vector Search allows developers to access real-time data streams from a variety of sources to fuel generative AI applications

Dataworkz, Drivly, ExTrac, Inovaare Corporation, NWO.ai, One AI, and VISO Trust among organizations building with MongoDB Atlas Vector Search

MongoDB, Inc. (NASDAQ: MDB) today at MongoDB.local London announced new capabilities, performance improvements, and a data-streaming integration for MongoDB Atlas Vector Search that make it even faster and easier for developers to build generative AI applications. Organizations of all sizes have rushed to adopt MongoDB Atlas Vector Search as part of a unified solution to process data for generative AI applications since being announced in preview in June of this year. MongoDB Atlas Vector Search has made it even easier for developers to aggregate and filter data, improving semantic information retrieval and reducing hallucinations in AI-powered applications. With new performance improvements for MongoDB Atlas Vector Search, the time it takes to build indexes is now significantly reduced by up to 85 percent to help accelerate application development. Additionally, MongoDB Atlas Vector Search is now integrated with fully managed data streams from Confluent Cloud to make it easier to use real-time data from a variety of sources to power AI applications. 

"It has been really exciting to see the overwhelmingly positive response to the preview version of MongoDB Atlas Vector Search as our customers eagerly move to incorporate generative AI technologies into their applications and transform their businesses—without the complexity and increased operational burden of 'bolting on' yet another software product to their technology stack. Customers are telling us that having the capabilities of a vector database directly integrated with their operational data store is a game changer for their developers," said Sahir Azam, Chief Product Officer at MongoDB. "This customer response has inspired us to iterate quickly with new features and improvements to MongoDB Atlas Vector Search, helping to make building application experiences powered by generative AI even more frictionless and cost effective."

Many organizations today are on a mission to invent new classes of applications that take advantage of generative AI to meet end-user expectations. However, the large language models (LLMs) that power these applications require up-to-date, proprietary data in the form of vectors—numerical representations of text, images, audio, video, and other types of data. Working with vector data is new for many organizations, and single-purpose vector databases have emerged as a short-term solution for storing and processing data for LLMs. However, adding a single-purpose database to their technology stack requires developers to spend valuable time and effort learning the intricacies of developing with and maintaining each point solution. For example, developers must synchronize data across data stores to ensure applications can respond in real time to end-user requests, which is difficult to implement and can significantly increase complexity, cost, and potential security risks. Many single-purpose databases also lack the flexibility to run as a managed service on any major cloud provider for high performance and resilience, severely limiting long-term infrastructure options. Because of these challenges, organizations from early-stage startups to established enterprises want the ability to store vectors alongside all of their data in a flexible, unified, multi-cloud developer data platform to quickly deploy applications and improve operational efficiency.

MongoDB Atlas Vector Search addresses these challenges by providing the capabilities needed to build generative AI applications on any major cloud provider for high availability and resilience with significantly less time and effort. MongoDB Atlas Vector Search provides the functionality of a vector database integrated as part of a unified developer data platform, allowing teams to store and process vector embeddings alongside virtually any type of data to more quickly and easily build generative AI applications. Dataworkz, Drivly, ExTrac, Inovaare Corporation, NWO.ai, One AI, VISO Trust, and many other organizations are already using MongoDB Atlas Vector Search in preview to build AI-powered applications for reducing public safety risk, improving healthcare compliance, surfacing intelligence from vast amounts of content in multiple languages, streamlining customer service, and improving corporate risk assessment. The updated capabilities for MongoDB Atlas Vector Search further accelerate generative AI application development:

• Increase the accuracy of information retrieval for generative AI applications: Whether personalized movie recommendations, quick responses from chatbots for customer service, or tailored options for food delivery, application end-users today expect accurate, up-to-date, and highly engaging experiences that save them time and effort. Generative AI is helping developers deliver these capabilities, but the LLMs powering applications can hallucinate (i.e., generate inaccurate information that is not useful) because they lack the necessary context to provide relevant information. By extending MongoDB Atlas's unified query interface, developers can now create a dedicated data aggregation stage with MongoDB Atlas Vector Search to filter results from proprietary data and significantly improve the accuracy of information retrieval to help reduce LLM hallucinations in applications.
  
  
• Accelerate data indexing for generative AI applications: Generating vectors is the first step in preparing data for use with LLMs. Once vectors are created, an index must be built for the data to be efficiently queried for information retrieval—and when data changes or new data is available, the index must then be updated. The unified and flexible document data model powering MongoDB Atlas Vector Search allows operational data, metadata, and vector data to be seamlessly indexed in a fully managed environment to reduce complexity. With new performance improvements, the time it takes to build an index with MongoDB Atlas Vector Search is now reduced by up to 85 percent to help accelerate developing AI-powered applications.
  
  
• Use real-time data streams from a variety of sources for AI-powered applications: Businesses use Confluent Cloud's fully managed, cloud-native data streaming platform to power highly engaging, responsive, real-time applications. As part of the Connect with Confluent partner program, developers can now use Confluent Cloud data streams within MongoDB Atlas Vector Search as an additional option to provide generative AI applications ground-truth data (i.e. accurate information that reflects current conditions) in real time from a variety of sources across their entire business. Configured with a fully managed connector for MongoDB Atlas, developers can make applications more responsive to changing conditions and provide end user results with greater accuracy.

Organizations Already Innovating with MongoDB Atlas Vector Search in Preview

Dataworkz enables enterprises to harness the power of LLMs on their own proprietary data by combining data, transformations, and AI into a single experience to produce high-quality, LLM-ready data. "Our goal is to accelerate the creation of AI applications with a product offering that unifies data, processing, and machine learning for business analysts and data engineers," said Sachin Smotra, CEO and co-founder of Dataworkz. "Leveraging the power of MongoDB Atlas Vector Search has allowed us to enable semantic search and contextual information retrieval, vastly improving our customers' experiences and providing more accurate results. We look forward to continuing using Atlas Vector Search to make retrieval-augmented generation with proprietary data easier for highly relevant results and driving business impact for our customers."

Drivly provides commerce infrastructure for the automotive industry to programmatically buy and sell vehicles through simple APIs. "We are using AI embeddings and Atlas Vector Search to go beyond full-text search with semantic meaning, giving context and memory to generative AI car-buying assistants," said Nathan Clevenger, Founder and CTO at Drivly. "We are very excited that MongoDB has added vector search capabilities to Atlas, which greatly simplifies our engineering efforts."

ExTrac draws on thousands of data sources identified by domain experts, using AI-powered analytics to locate, track, and forecast both digital and physical risks to public safety in real-time. "Our domain experts find and curate relevant streams of data, and then we use AI to anonymize and make sense of it at scale. We take a base model and fine-tune it with our own labeled data to create domain-specific models capable of identifying and classifying threats in real-time," said Matt King, CEO of ExTrac. "Atlas Vector Search is proving to be incredibly powerful across a range of tasks where we use the results of the search to augment our LLMs and reduce hallucinations. We can store vector embeddings right alongside the source data in a single system, enabling our developers to build new features way faster than if they had to bolt-on a standalone vector database—many of which limit the amount of data that can be returned if it has meta-data attached to it. Because the flexibility of MongoDB's document data model allows us to land, index, and analyze data of any shape and structure—no matter how complex—we are now moving beyond text to vectorize images and videos from our archives dating back over a decade. Being able to query and analyze data in any modality will help us to better model trends, track evolving narratives, and predict risk for our customers."

Inovaare Corporation is a leading provider of AI-powered compliance automation solutions for healthcare payers. "At Inovaare Corporation, we believe that healthcare compliance is not just about meeting regulations but transforming how healthcare payers excel in the entire compliance lifecycle. We needed a partner with the technological prowess and one who shares our vision to pioneer the future of healthcare compliance," said Mohar Mishra, CTO and Co-Founder at Inovaare Corporation. "MongoDB's robust data platform, known for its scalability and agility, perfectly aligns with Inovaare's commitment to providing healthcare payers with a unified, secure, and AI-powered compliance operations platform. MongoDB's innovative Atlas Vector Search powers the reporting capabilities of our products. It allows us to deliver context-aware compliance guidance and real-time data-driven insights."

NWO.ai is a premier AI-driven Consumer Intelligence platform helping Fortune 500 brands bring new products to market. "In today's rapidly evolving digital age, the power of accurate and timely information is paramount," said Pulkit Jaiswal, Cofounder of NWO.ai. "At NWO.ai, our flagship offering, Worldwide Optimal Policy Response (WOPR), is at the forefront of intelligent diplomacy. WOPR harnesses the capabilities of AI to navigate the vast oceans of global narratives, offering real-time insights and tailored communication strategies. This not only empowers decision-makers but also provides a vital counterbalance against AI-engineered disinformation. We're thrilled to integrate Atlas Vector Search into WOPR, enhancing our ability to instantly search and analyze embeddings for our dual-use case. It's an exciting synergy, and we believe it's a testament to the future of diplomacy in the digital age."

One AI is a platform that offers AI Agents, Language Analytics, and APIs, enabling seamless integration of accurate, production-ready language capabilities into products and services. "Our hero product - OneAgent - facilitates trusted conversations through AI agents that operate strictly upon company-sourced content, secured with built-in fact-checking," said Amit Ben, CEO and Founder of One AI. "With MongoDB Atlas, we're able to take source customer documents, generate vector embeddings from them that we then index and store in MongoDB Atlas Vector Search. Then, when a customer has a question about their business and asks one of our AI agents, Atlas Vector Search will provide the chatbot with the most relevant data and supply customers with the most accurate answers. By enabling semantic search and information retrieval, we're providing our customers with an improved and more efficient experience."

VISO Trust puts reliable, comprehensive, actionable vendor security information directly in the hands of decision-makers who need to make informed risk assessments. "At VISO Trust, we leverage innovative technologies to continue our growth and expansion in AI and security. Atlas Vector Search, combined with the efficiency of AWS and Terraform integrations, has transformed our platform," said Russell Sherman, Cofounder and CTO at VISO Trust. "With Atlas Vector Search, we now possess a battle-tested vector and metadata database, refined over a decade, effectively addressing our dense retrieval requirements. There's no need to deploy a new database, as our vectors and artifact metadata can be seamlessly stored alongside each other."