Guidelines for a First-Time Data Strategy
Some dread it; some delight in it; either way, the construction of a data infrastructure requires perfect understanding of data and its resulting use cases.
Some dread it; some delight in it; either way, the construction of a data infrastructure requires perfect understanding of data and its resulting use cases.
The world is becoming ever more aware of AI’s potential. There is real momentum, evidenced by the race for global leadership in artificial intelligence.
It’s no secret that data marketing is huge.
With the cloud, users are offered abstract Infrastructure as a Service (IaaS*) rather than finite resources they can buy, known as on-premise infrastructure. The cloud can also offer an application (PaaS*: Platform as a Service) or a function (FaaS*: Function As A Service).
Creating quality content on Amazon is critical to a brand’s success and will influence two aspects of your activity.
This is especially true when it comes to knowing which data is most important in order to understand consumers. It is less about WHO they are, WHAT they did, and much more about HOW they behaved. The way consumers behave on an online platform will tell you more about their propensity to spend than other factors. Brands need to capture this data, and many do not.
Needless to say, China’s internet ecosystem is now dominated by 3 giants: Baidu, Alibaba, and Tencent, or what we call the “BAT” – i.e. the “GAF (Google / Amazon / Facebook)” of the Middle Kingdom. These 3 giants collect billions of consumer data on a daily basis and they are all trying to monetize the data within their own independent ecosystems.
Launching a media campaign on Amazon is a must if you want to raise awareness and increase activity, but it’s also a complex step which requires perfect understanding of this ecosystem.
“Will machines replace humans?” The year was 1940, and Franklin D. Roosevelt, in a debate with the president of MIT, was worrying about the impact of machines on the unemployment rate. Sixteen years later, at the Dartmouth conference, Artificial Intelligence (AI) officially enters the pantheon of scientific disciplines.
