eBay taps computer vision to transform online shopping

  • “Offering buyers the ability to look for similar or exact items using images instead of text has become fairly standard in the industry, but launching the feature in 2017 was a big deal
  • ‘First, we did our training separately,’ he explained. ‘We trained the models on the public cloud, where we could access [graphic processing units]. Then we did the inference and deployment locally.’
  • The question should never be what new technology can be adopted, but what customer problems can be solved, Mekel-Bobrov said.
  • The ecommerce giant is now ‘turbocharging’ its platform to make computer vision an integral part of the experience for both buyers and sellers, Mekel-Bobrov said.”


How AI is powering the future of financial services

  • “Fintechs are creating more intuitive and personalised interactions between customers and their finances using recommendation engines, conversational AI, and deep learning fraud detection models.
  • NerdWallet, a fintech focused on personal finance, uses machine learning in its recommendation engine to match its customers with the best-fit financial products, such as mortgages and insurance.
  • Square, a financial services and digital payments fintech, uses conversational AI to power its virtual assistant that understands and provides help for 75% of customer’s questions, and reduces appointment no-shows from potential customers with sales teams by 10%.”


Unit4: 83% of finance pros expect to upskill on AI in 2 years

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  • “Over the next two years, 75% of finance professionals believe their day jobs will significantly change, and 83% said they will have to learn new skills for AI and related technologies
  • Ultimately AI is here to stay, and it’s already revolutionizing how we work. Organizations are shifting investment and resources to make this happen; 26% of C-Suite decision-makers who do not currently use AI in their finance departments said they plan to introduce it in the next two years.”


AI brings promise and peril to customer relations management

  • “At the moment, one of the chief complaints aimed at companies large and small is the long wait times at call centers and in email replies. A properly trained AI-driven CRM platform will be able to handle most common queries with little to no delay, sending the more complicated requests to service reps, who should have greater availability. AI will also be able to more effectively communicate with customers over the web, social media, and mobile platforms.
  • Faulty data management is a key factor in poor customer relationship outcomes, with more than 85% of sales agents citing it as the cause of embarrassing mistakes, according to marketing analysis firm MarTech Series.
  • Upwards of 2.5 quintillion bytes of data are being created every day, 90% of it unstructured, so the mere task of putting all of this data into context is functionally impossible without AI.”


Adobe’s Digital Experience chief on how to navigate a cookieless future

Photo: Adobe

“There are companies that have already had some of this data. For example, member-oriented companies. You have a membership organization, and you know every member ID — it’s not a new idea; membership-oriented companies have been around for hundreds of years. Those kinds of companies have always collected data; that’s basically first-party data. So you really then have to gravitate towards first-party data.”