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" ... Additionally, make sure chatbots are being used in the ideal scenarios. Simple queries are the best use case for a chatbot, while humans should generally handle more complicated or emotional customer inquiries. A strong AI algorithm can tell the difference and route them accordingly, saving the company money on customer service without diluting results. ... "
" ... Database products are good examples of this. You can change where the data is stored. You can change the queries that access the data. You can add processors, large and small, to process more queries data or applications. But when you get right down to it, how the data is structured, stored and processed remains the same. Additionally, databases create data gravity that prevents you from moving to other products because the cost of change becomes prohibitive. This "stickiness" limits your options and increases your costs in the future. ... "
" ... In the real world and very much at the worst end of the scale, with massively complex datasets and increasing complex database queries, some organizations are reporting queries times of between two hours and a full day. More often, organizations have to wait between 15 and 60 minutes, but in environments that make use of real-time or at least fast-moving data (such as how many Covid-19 tests are being carried out at an airport), that’s quite slow. ... "
" ... It’s possible to review these campaigns in real time so you can monitor how consumers are engaging with your promotion. Use click-throughs, conversions and user queries to fine-tune your personas for even more targeted advertisement opportunities. ... "
" ... Performance results (in server queries) on the top five systems for each inference workload model. ... [+] Note that each bar represents a different system. Even if they appear the same, the configurations are different. For full details, refer to the complete MLPerf results. ... "