Think of devices that monitor production equipment in a factory, or a video camera that sends real-time recording from a remote office. As long as there is only one device, it is quite easy to transmit them over the network, but with the growth of their number, there are already problems with delays.

According to the ESG report, 53% of respondents believe that the lack of personnel in the field of cybersecurity is a problem for their organization. And this applies to General practitioners in the support and protection of the traditional network environments.

To meet the strict legal requirements regarding confidential data in cloud environments, organizations are forced to implement security solutions that cover the entire distributed network in order to centralize management and ensure transparency.

Today, Qualcomm announced that they are entering the AI accelerator market with the Qualcomm Cloud AI 100 family of chips. Designed from the ground up for the artificial intelligence market, this chip should be released as early as 2020. At the same time, Qualcomm emphasizes that the new chip will be compatible with existing software for artificial intelligence applications.

When Internet companies faced huge growing data and infrastructure needs, they came up with their own solutions to the problem – technologies like BigTable, DynamoDB, and Cassandra. The growing interest in working with big data has led to a number of NoSQL database management systems (DBMS) with a focus on performance and reliability in order to improve search and read performance.