“Google today announced the launch of Product Discovery Solutions for Retail, a suite of services deigned to enhance retailers’ ecommerce capabilities and help them deliver personalized customer experiences. Product Discovery Solutions for Retail brings together AI algorithms and a search service, Cloud Search for Retail, that leverages Google Search technology to power retailers’ product-finding tools.
Ecommerce order volume has increased by 50% compared with 2019, and shipment times for products like furniture more than doubled in March. Moreover, overall U.S. digital sales have jumped by 30%, expediting the online shopping transition by as much as two years.“
“Other predictions: A top tech company will shutter its AI lab in a strategic reset. Google’s DeepMind will make a breakthrough in biology-drug discovery, while Facebook will make one with computer vision and AR/VR. An AI-first drug discovery startup exits for $1+ billion.”
“Our research suggests people find AI’s recommendations more persuasive in situations where AI shows easy steps on how to build personalised health insurance, how to avoid a lemon car, or how to choose the right tennis racket for you, rather than why any of these are important to do in a human sense.”
- “Even the most ardent digital marketing proponent might be startled by the prediction that 100% of advertising will be online and automated by 2025.
- First, about 65% of the ads in 2025 will be online ads. Second, the other 35% will also be digital, but not online.
- ‘Maximizing cash flow is very different than maximizing ROI,” Darveau-Garneau states. “The best advice I can give you in your performance marketing strategy is to build a dashboard that motivates your marketing teams to maximize profitability, as opposed to efficiency.’”
Nicolas Darveau-Garneau, Chief Evangelist at Google.
“At the turn of this decade, there is a surge of no-code AI platforms. More and more businesses are looking to leverage the power of artificial intelligence to build smarter software-based products. But execution becomes an obstacle for many. It’s a challenge for startups to find people with relevant machine learning expertise as the field is always a work in progress.
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