“Our goal with this collaboration was demonstrating the value of artificial intelligence is simply too great for financial institutions to turn away from,” said Bill Schwaab, VP of North America for boost.ai. “In light of the hyper-acceleration of self-service, filling critical customer care gaps requires we reconstruct our notions of customer experience and embrace technology that optimizes for ever-shifting expectations.”
“As conversational AI and NLP continues to improve, customer representatives across the industry will have the time to upskill and ensure customers can have a completely personalized banking experience. This focus on satisfaction will in turn, strengthen the entire global industry.”
“CognitiveScale finds that, although execs know that data quality and deployment are critical success factors for successful app development to drive digital transformation, more than 76% aren’t sure how to get there in their target 12-18 month window.
‘AI has to be accountable to drive business effectiveness – it’s not sufficient to say a ML model was 98% accurate.’
Instead, the ROI could be, for example, that in order to improve call center effectiveness, AI-driven capabilities ensure that the average call handling time is reduced.
According to Nicola Morini Bianzino, global chief technology officer, EY, thinking of artificial intelligence and the enterprise in terms of “use cases” that are then measured through ROI is the wrong way to go about AI.
‘It’s almost like tending a farm, because the data is living, the data changes and you’re not done,’ he said. ‘It’s not like you build a recommendation algorithm and then people’s behavior of how they buy is frozen in time. People change how they buy. All of a sudden, your competitor has a promotion. They stop buying from you. They go to the competitor. You have to constantly tend to it.’”
“Snap Inc. co-founder and CEO Evan Spiegel on Monday endorsed Elon Musk’s plans to turn Twitter into a ‘super app,’ or an app that provides multiple services in one mobile interface, citing Snapchat’s own ambitions in that arena.
While some tech companies build or acquire separate apps for different services across their portfolio, like Meta or Google, Spiegel said, “’We see the power in diversifying engagement across our service.’
‘When you’ve diversified engagement across a wide variety of products in the same application, that can really strengthen your business,’ he said.”
“Amazon.com today showcased the multiple ways in which artificial intelligence-based machine learning and computer vision algorithms are being combined with synthetic data to improve key retail automation technologies such as Just Walk Out, Amazon One and Amazon Dash Cart.
AI also helps to provide better customer recommendations. For instance, shoppers at Amazon Style, the company’s physical apparel store, will be treated to a diverse list of recommended items based on the products they scan as they peruse the shop floor.
None of this would be possible without the use of synthetic data, though. As Kumar explained, Amazon was challenged by the lack of diverse training data needed to train these algorithms. To compensate, Amazon’s researchers set about building massive sets of synthetic, or machine-generated photorealistic data, that could be used to perfect its algorithms.”