Google this week will unveil new innovations on its ad platform based on advances in machine learning and computing technology, and is expected to announce plans at its I/O "festival" to bring the Google Assistant voice app to the Apple iPhone, per one report.
Forrester analysts estimate 37% of all new tech project spending will be related to the CMO, including marketing automation software, marketing data analytics, mobile apps, and related consulting and staff spending.
Looking to brand its products and increase engagement and revenue after growth flattened, Cheetah Mobile used AdMob to expand the use of native display ads and Google's newly launched native video ad format.
The way people search on engines continue to change. About 41% use a string of keywords, 31% use full-sentence questions, and 20% use category searches.
Microsoft on Wednesday revealed a variety of tools adding to 25 previously available Cognitive Services: Bing Custom Search, Custom Vision Service, Custom Decision Service, and Video Indexer.
Microsoft's technology ultimately will have the ability to read passages of text and answer questions about the context of the written or verbal statement or comment.
Transparency has become a major initiative across the online advertising industry in the past couple of years. Amazon Alexa, Apple Siri, Google Assistant, Microsoft Cortana and artificial intelligence technology from other developers often serves up responses and content without a perceived reason. Shouldn't users have the ability to ask the AI why?
LXRGuide: Agency uses machine-learning algorithms and forecasting data that can optimize multiple Google AdWords campaigns simultaneously. The platform, which calculates campaign losses and profits, is an extension of LXRGuide for brands, launched in 2016.
As Facebook's focus turns to building a community, what does that mean for advertisers? Zuckerberg wants to turn Facebook into an online directory for connecting like-minded individuals.
In computer vision, the machine sees a series of numbers rather than an image. The computer interprets the numbers to recognize objects and reconstructs the images, so it can identify the scene. Google feeds the data into algorithms that can match features between the images to develop 3D images.