Adtech has a latency problem It is almost Real Time for the bidding, but far away from real time for the “learning” generation that informs the bidding decision (to bid Yes or NO and at what price). Adtech inherits the slowliness and latency of the legacy Batch Machine learning which it uses thus preventing adtech companies to fully learn in real time from the data it collects in real time (paradox) and benefit of it to improve bidding decision. Most common example is the 2 weeks long learning phase that every scientist told you is mandatory We fix that issue: and we reduce it to a few minutes only, opening new opportunities for bidding and optimization strategies for User acquisition and media trading. Slowliness and latency is not a fatality if you can exploit new knowledge, new solutions to create a new paradigm: We build and deploy AI solutions fully dedicated to adtech since 2014 Our Goal is to “empower adtech’s buy side (DSP’s, Adnetwork, Brands) with advanced Ai solutions designed to pioneer tomorrow's adtech”: As far as we know, we build and provide the World’s first solutions collecting + analyzing + learning in full stream (instead of Batch) in adtech and solve and completely remove some of the programmatic buyer’s most frequent issues: - SLOW LEARNING and LONG DISCOVERY / EXPLORATION PHASE - HARD OPTIMIZATION WITH RARE EVENTS IN 7+ DAYS Attribution WINDOWS - NECESSARY TRADE-OFF between (OPTIMIZATON & PERFORMANCE VS DATA STORAGE AND COMPUTE COST - NEED FOR MANUAL TUNING OF CAMPAIGNS - BUILDING RECRUITING AN ML/AI TEAM We reduce the need for an in house ML development team and solutions hence reduce cost, and uncertainty associated to AI while bringing agility and improved efficiency to the buy side, Our solutions are by design: - Privacy compliant (GDPR, CPPA etc..) - Secure (breach free) - Live and continuous - Utmost customized to client’s (1 custom model per line item) - Easy to implement and activate o Single API
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Impression Market Value (IMV) predicts the price your competitors are willing to pay for each bid request. Programmatic experiences rapid changes in user and bidding environments. The majority of buyers use legacy ML frameworks, resulting in delayed insights due to cold data. The next-gen ML models and frameworks can use live data for immediate learning. Here's how it works: Using a NextGen ML framework, we continuously learn in real time. We analyze each bid request environment and predict impression values in real time (within 5ms). In a first-price auction setting, our products outperform bid shading algorithms, enhancing profit by increasing price prediction accuracy.
CC les Grands Hommes, place des grands hommes
Regus Signature, 1est floor
33001 Bordeaux, FR
Bordeaux, fr
Rennes, FR
Lille, FR
UBIQUITY.AI (Hiring] a republié ceci
AI's already proved it's added value for advertising and adtech for years Wait for new-gen of #AI and #ML technologies as it creates even more value in #bidding and #optimizing (call it #mediabuying) than #genAI will do in creative despite all that hype. True value is where you make revenues, not ideas.
we reduce (shrink) programmatic learning phases from weeks to hours: - Problem: for Brands and agencies the learning phase is a pain : too long (2 to 3 weeks), expensive and without immediate value bc the budget is spend to "spray and pray" -Our ML solutions dedicated to adtech sppeds up that process and reduces the "learning phases to a few hours" until it can start optimising from day 1 With that speed of learning you have a greater knowledge, faster..hence a greater power versus the other bidders. Contacts us to learn more about our ML as a Service (MLaaS) solutions dedicated to adtech
Glad to be back in fabulous LONDON to meet our pals from the gaming and adtech industry.. UA speialists here we come
Ubiquity will be visiting our friend across the channel and dive into the needs of mobile DSP's and Adnetworks
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No technology remains dominant forever! Discover the #novel, #nextgeneration #AI architectures that are superior to #transformers and could replace them
UBIQUITY.AI (Hiring] a republié ceci
A picture is worth thousand words.
Adtech is now entered fully into the "#AI_everywhere Era" ..there's no better time as we already prepare 2024 to share the most important AI advice with most impact from our 6 Adtech and AI experts from: - #Moloco - #Luma - #QuantCast - #Kayzen - #AiAdvertising - #Datastax
suite de notre série sur les personnalités influentes de l'#adtech donnant leur opinion sur le #machinelearning, aujourd'hui David SIMON, général manager de MOLOCO, à propos des #GAFA's et de leur véritable avantage produit