Artificial Intelligence (ai) blog to help eCommerce professionals connect, share ideas and best practices.
Getting smart about the future of AI
“That’s what AI technologies represent in the current period of technological change. It is now critical to carefully consider the future of AI, what it will look like, the effect it will have on human life, and what challenges and opportunities will arise as it evolves.“
Visenze received another $20M in funding. Here’s a “Crib Sheet” post that I wrote on them in 2017.
https://aiecommerce.com/2017/12/14/ai-ecommerce-crib-sheet-visenze/
Additionally, here are some key take-always from today’s news.
“The ability to quickly create ads is crucial for a merchant like TechStyle given that its product catalog is regularly changing. Now, roughly 30% of the retailer’s ads are created via the Smartly.io platform. That’s helped boost the retailer’s click-through rate on Facebook ads to nearly 1.0%, roughly double its previous 0.5% rate.”
“According to Gartner, artificial intelligence is the technology that will have the most impact on commerce in the future. Their analysts say AI will predict and initiate at least five percent of digital commerce orders by 2022.“
https://www.cmswire.com/customer-experience/3-cant-miss-predictions-about-the-future-of-ecommerce/
“Google’s Cloud Auto ML service, which doesn’t require any coding experience to use (it’s free to try), was trained to find Waldo by looking at dozens of pictures of the cartoon, which were all found on Google Image Search.”
“What he said: Right at the halfway mark of the 10-minute video, Sanders took a stance on the future of work. “I’m running for president because we need to understand that artificial intelligence and robotics must benefit the needs of workers, not just corporate America and those who own that technology,” Sanders said.”
© PESHKOVA – ADOBE STOCK
1. In retail, AI-enabled personalization unlocks access to the 1% customer.
Data shows thatthe top 1% of a retailer’s customers are worth 18x more than its average customer.
2. For a global bank, AI builds trust and loyalty.
Its approach was to leverage data intelligence into entirely new forms of customer contact.
3. For one airline, new data intelligence drives CX innovation.
Seeking to better understand its customer and, ultimately, improve its mobile app experience, the company deployed an AI and machine learning data analytics system that provided insight into customer behavior across digital and offline channels.
4. In entertainment, AI battles ticket bots.
Ticketmaster turned to AI to rewrite the rules using a machine learning system called Verified Fan
5. For one luxury hotel brand, new insight required new AI.
Until the luxury hotel brand Dorchester Collection did just that, creating a custom AI analytics system that is essentially a giant focus group operating continuously in real time.”
Facebook’s chief AI scientist Yann LeCun
“The International Data Corporation indicates global spending on AI systems is expected to hit $US77.6 billion in 2022, more than tripling the $US24 billion forecast for 2018.
A key element in advancing the field of artificial intelligence, particularly when it comes to deep learning, will be ensuring that there’s hardware capable of supporting it.
