Martech
JULY 17, 2024
China is leading the way from a patent perspective when it comes to generative AI with more than 38,000 filed between 2014 and 2023. . “There are a lot of governmental mandates for the use of generative AI. filed 6,300 in that same time period.” But generative AI is bringing AI more to the front end CX applications.
Martech Series
JULY 7, 2022
The company doubles down on product innovation with a new Machine Learning Center and expansion of the C-Suite team. in 2014, a platform built to transform the way businesses and consumers communicate over messaging applications. Marketing Technology News: Countable Launches Enterprise ESG Portal to Bring Brand Impact to Life.
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Digiday
MARCH 18, 2024
owned Gale has a new platform called Alchemy.AI, evolved from the media agency’s previous Alchemy platform that also had its own internally built machine learning models. It’s one of the reasons why some might say we were late to the AI conversation,” said Simms, who founded Gale in 2014. Stagwell Inc.-owned
Martech
OCTOBER 1, 2021
Marketing attribution and predictive analytics platforms employ sophisticated statistical modeling and machine learning to evaluate the impact of each marketing touch a buyer encounters along a purchase journey across all channels, with the goal of helping marketers allocate future spending. Read more here.
Martech Series
OCTOBER 11, 2022
Since its launch in 2014, Seedtag has pioneered the use of AI and machine learning to create its contextual technology, LIZ©, and built a privacy-first advertising solution in the market which is currently the leading contextual solution in EMEA and LATAM.
Ad Monsters
MAY 13, 2024
Mind you, she said this back in 2014, when the so-called data revolution was in its heyday. The Great Accelerator: AI The whole data revolution and one-to-one marketing scheme had a valuable technology in its corner: machine-learning based AI. A more recent form of machine learning — generative AI — is now a topic du jour.
The Ad Tech Blog
SEPTEMBER 6, 2023
The timeline was: deep neural networks in 2014 led to the transformer network, which led to GPT in 2017 (text generation, including code generation). It provides an in-depth exploration of the concepts and future prospects of AI and machine learning, a must-read for anyone invested in this field.
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