Lessons From Google And Facebook On The Rise Of Machine Learning
Google and Facebook have been quietly introducing machine learning algorithms to their platforms for years, essentially kicking off the mainstreaming of AI in the process.
Google and Facebook have been quietly introducing machine learning algorithms to their platforms for years, essentially kicking off the mainstreaming of AI in the process.
“The last few years have seen a boom in the amount of intelligence B2B marketers can access about the accounts they’re trying to target. But
AI adoption is up 24% from last year, but many businesses are still struggling to get their arms around the technology and integrate it into their business workflows.
…to create a symbiotic AI workforce, organizations will need to use human-centered AI processes that motivate workers, retrain them in the context of their workflow,
Influencer fraud cost brands an estimated $1.3 billion in 2019, and the additional rise in influencer scandals has put pressure on marketers to ensure brand value alignment before collaborating.
Researchers trained a neural network to map audio “voiceprints” from one language to another.
“Now, there are companies out there that can help with different aspects of content. Our partners like Phrasee and Persado, for instance, help with subject line. It’s
AI is particularly suited to the task of automating and optimizing ABM (account based marketing) campaigns, which are growing in popularity among B2B / enterprise marketers.
Content creation is one of the biggest challenges facing marketers today. Here are 100+ tools and resources to make content creation easier…