IDenTV operates on the front lines of applied AI in the M&E industry, creating rich metadata for workflow optimizations and big video data search, providing tools that code faces, brands, and logos, and that allow for the creation of custom AI models within hours. IDenTV’s solutions enable your business users to leverage the power of AI to automatically search petabytes of live or archival video. Further, by introducing real-time video analytics, multilingual media monitoring, and contextually matched personalized content, IDenTV’s solutions empower our partners in the M&E industry to maximize the value of applied AI and video analytics, increase engagement content, facilitate search and actionability within big video data, optimize workflows, and become data-driven in their decision making processes.
IDenTV’s easy to use tools generate real-time analytics on big video content from broadcast, to OTT, VOD and more. IDenTV’s advanced AI platform allows our partners to extract actionable analytics on brand sponsorships from live sporting events in real time, a far cry from the error- prone, inactionable, and slow-moving report system currently in place. IDenTV’s advanced computer vision enables optimization of sponsorship placements to ensure your brand receives more on-screen time. Moreover, by providing actionable insights into big video data, IDenTV allows our partners to utilize these metrics to formulate a more accurate ROI! Finally, leverage IDenTV’s suite of vision, audio and NLP engines for a proactive solution that address public safety, traffic and congestion, and much more.
Utilizing existing security cameras, most often live streaming CCTV feeds and/or forensic analysis of video archives (recordings), IDenTV generates a customizable in-store retail experience.
Without violating personal privacy, IDenTV’s suite of AI and Machine Learning solutions enable partners to extract from CCTV streams key insights such as:
IDenTV helps its partners to better understand and correlate unstructured and structured Point of Sale data with the video analytics gathered via computer vision powered AI engines. Allowing for applications to customize in-store experiences but also creating robust decision support tools for leadership with macro and micro level analytics that help identify peak in-store traffic times, recognize operationally efficient or inefficient branches for calculating branch performance scores to assist in determining investment or divestment of specific locations. Further, provide unparalleled insights for not only improving the customer’s experience in being able to identify and cluster consumers and drive recommendations of specific products based on analysis of historical partner data and current inventory to optimize the interactions with the sales associates who will now be equipped with intelligence to further tailor the experience.
This solution is designed with ease of use in mind, where non-technical users can leverage and even augment/customize existing engines to continuously evolve with the consumers shifting tastes and industry trends. Facilitating workforce augmentation and automation without requiring large capital expenditures or expecting our partner to have an expansive internal data science team, thus not only creating analytics for tailored in-store experiences to thickening existing revenue streams, but decision support tools that can scale to save a large amount of time and money while respecting privacy. All facilitating a feedback loop for continued innovation to meet the evolving demands of consumer expectations from an in-store shopping experience.
Unlike many submissions we are already working closely with cloud partners such as Oracle Cloud’s GPU infrastructure to be able to power these types of capabilities for large retailers, banks and quick service restaurants around the world. In doing so we can create an immediate take-away in providing easy access via cloud partners to automatically launch demo instances for our partners to start testing and evaluating these solutions and expand the use-cases from those listed above.
Classifiers immediately create contextual metadata for immediate & automated curation and search. Additionally, metrics from visually identified items, extracted topics, named-entities, locations, and sentiments are used to transform big video data into an interactive tool for rapid search, editing, and distribution of content to the market, thus streamlining workflow operations, reducing costs, and increasing ROI on both new and existing content.
IDenTV’s automated video processing makes it easier than ever for our partners to process big video data from concurrent live streams to structured and unstructured multimedia archives at scale. Moreover, IDenTV’s easy UI provides extensive searchability, actionability, allowing our partners to transform their big video data into a revenue generator using AI and machine intelligence.
Processing live, batch, & archived multimedia content to enrich it with contextual metadata, IDenTV enables rapid search, recall, exploitation & re-use tools to generate ROI on new
content. Moreover, IDenTV helps its partners improve audience engagement by providing dynamic contextual ad insertion, data-driven media sales intelligence, and AI-based
recommendation engines.
IDenTV provides advanced speech recognition, translation, closed captioning, and speech to text tools in 15+ Languages. Additional solutions include automated parents, enterprises, and schools and other institutions as well as NLP tools like name-entity extraction, linking, sentiment analysis, and more.
IDenTV provides local and national broadcasters the tools to leverage a complete deep learning toolkit to optimize content, increase internal ad sales intelligence, and boost programming appeal for increased audience engagement.
Furthermore, IDenTV provides rights management and anti-piracy solutions to protect ensure our partners’ media content is safe and secure.
IDenTV partners with digital streaming providers to leverage unparalleled data-driven analytics.
By integrating our state of the art AI suite, IDenTV helps streaming services enhance their viewers’ experience through on-screen, contextually-based data overlays, granular cross-platform ad-targeting, play-out verification, and rights management tools. Additionally, we can refine both live & pre-processed content and advertisement repositories to create contextual analytic for seamless playout of a similar or complementary set of advertisements. This coupled with any viewership data enables targeted ad campaigns that do not exist today & can immediately increase in engagement and ROI.
IDenTV helps advertisers and brands by providing advanced video analytics extracted directly on-site, from distribution PoP’s, or directly from central repositories of petabytes of new & archived content. Our solutions automate tasks requiring endless manpower - allowing key stakeholders to better understand and measure comprehensive ROI for ad campaigns ranging from traditional commercials to brand sponsorships and more. In today’s dynamic multichannel marketing environment, IDenTV’s advanced AI and MAchine Learning solutions empower advertisers and brands to accurately measure earned media in ways that had been previously unattainable.
IDenTV helps advertising agencies uncover invaluable insights & unique data on creative multimedia content for hyper-targeted contextual ad placements. Furthermore, by providing this data in real-time, IDenTV enables marketers to create data-driven, synchronized ad retargeting to reach users directly through other mediums including social media, the internet, and Digital Video/SVOD platforms.IDenTV provides intelligent, adaptable, data-driven media planning tools that increase the likelihood of achieving higher ROI and engagement for our partners while at the same time reducing their costs and increasing their efficiency.