Today, data has evolved into one of the most crucial resources in the world. Unlike tangible resources like wood and fuel, the same data set can be used repeatedly and for different applications. Tons of user information gets observed or generated by tech and algorithms to facilitate the personalization we see today.
Are you afraid of the security and the safety of the apps? If yes! Then let me tell you that this is a common concern as everyone as everyone is looking for a fast, safe, and flexible app as security is the major concern that comes in mind of startups or entrepreneurs.
The CCPA entitles consumers to know what personal information is being collected and how it is further shared to be used by third parties. Moreover, it is well within the consumers’ rights to stop any business from sharing their data and remove it completely.
The Cloud has been a dominant paradigm over the last decade but is now attracting regulatory scrutiny.
In the UK and the EU, there have been calls to explore regulation and competitive position in the Cloud.
The IOT security product industry promises to become a safe road for digital commercialization. IOT security products safeguard networks and interconnected devices. It caters to various business needs such as data encryption, authentication and subsequent, regulatory compliance.
In 1974, two distinct but interestingly similar milestones were achieved that would greatly affect the lives of data engineers: the Rubik’s Cube was invented, and IBM released the first relational database. Since its original rise in the 1980s, the Rubik’s Cube has become the world’s most popular puzzle toy.
Blockchain experts are in demand. Due to its multiple uses, it needs people handling this new technology. Like any other great profession, these aren’t for everyone. You must have or acquire talents by becoming a certified blockchain professional and give reasons to recruiters to hire you.
A few months ago, Pakistan also faced one of the worst heatwaves in the world, with at one stage, the top 5 of the ten hottest places on earth were in Pakistan.
Before embarking on the data profiling exercise, an analyst must prepare by going through a data profiling analysis.
I love this infographic recently floating around LinkedIn. Sorry, don’t know to whom to give credit, but it does provide an interesting depiction of how senior management thinks AI works and the realities of what’s required to make AI work.
