摘要： For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud and the edge. Given that, data analytics – helped by such modern technologies as artificial intelligence (AI) and machine learning – has become a must-have capability, and in 2022, the importance will be amplified.
摘要： The enterprise is investing heavily into multiple forms of AI, but interest in natural language processing (NLP) has gained momentum in the past few months.
摘要：
For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information they can pull from the massive amounts of data generated, accessed, and stored in myriad locations, from corporate data centers to the cloud and the edge.
摘要： Big data has already transformed how many industries operate. Now that the pandemic has accelerated digital transformation around the globe, the field has grown faster than most could have predicted. This unprecedented growth will undoubtedly bring considerable disruption in 2022.
