“Xiaoice, a Chinese chatbot developed by Microsoft in 2014, is different from other AI assistants. With Xiaoice integrated in almost all Chinese-brand smartphones, the company is training its algorithms on data from 758 million online users. Its AI framework has enabled users to create over 6 million…customized “AI beings” that can have completely different personalities…
Tag: Brandon McGee
RPA vs. cognitive automation: What are the key differences?
“RPA is typically programmed upfront but can break when the applications it works with change. Cognitive automation requires more in-depth training and may need updating as the characteristics of the data set evolve. ‘RPA is a technology that takes the robot out of the human, whereas cognitive automation is the putting of the human into…
IBM Think 2021 kicks off with AI innovations and some interesting quantum news
“AutoSQL and Cloud Pak for Data: IBM’s touting a breakthrough in cloud-based database management. Basically, where businesses serve up answers to customer queries using cloud-managed AI databases, this will significantly speed things up. According to IBM, the new system gives answers to distributed queries “as much as 8x faster than previously and at nearly half…
Hyper-Personalised Banking: 3 Merits for Linking with Conversational AI
“There are various ways in which conversational AI fits in the hyper-personalised banking for hassle-free customer experience. Four reaping benefits of hyper-personalised banking system are: High number of pages conversion Increase in customer trust and loyalty Reduction in sales time Providing services to ease decision-making process” https://www.google.com/amp/s/www.analyticsinsight.net/hyper-personalised-banking-3-merits-for-linking-with-conversational-ai/%3famp
Investing in AI for Good
“We believe that more targeted, sustained investments in AI for social impact (sometimes called “AI for good”)—rather than multiple, short-term grants across a variety of areas—are important for two reasons. First, AI often has large upfront costs and low ongoing or marginal costs. AI systems can be hard to design and operationalize, and they require…