Examples of using Data-driven in English and their translations into Chinese
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DevOps is becoming more data-driven.
More data-driven approaches are also being tried.
She also claimed that the report was not"data-driven.".
Need to incorporate data-driven decisions into your process?
Big data assumes that the business model is data-driven.
Real Vue apps are normally data-driven user interfaces.
Data-driven“living" products are the core of Industry X. 0.
The 21st century has been an era of data-driven decisions.
Data-driven design: Should designers trust their guts- or the data?
And it has begun to identify new data-driven business models.
Successful data-driven businesses foster a collaborative, goal-oriented culture.
And it has begun identifying new data-driven business models.
Leading data-driven digital marketing agency will be integrated with Merkle Asia Pacific.
These two phenomena gave birth to supposed data-driven companies.
It is possible that such data-driven decisions will improve people's lives.
Your investment thesis is either concept-driven or data-driven.
It helps companies institutionalise data-driven decision making and harness big data.
It is incredibly useful andhelps businesses make better data-driven decisions.
It helps companies institutionalise data-driven decision making and harness big data.
How can data-driven decisions be integrated within the constraints of your existing maintenance practices?
Deep learning and process understanding for data-driven Earth system science.
Every data-driven business needs to have a framework in place for the data science pipeline, otherwise it's a setup for failure.
GV leads $60 million investment in Ethos for data-driven life insurance.
Give buyers and sellers intelligent, data-driven tools that foster collaboration, build trust, and improve the overall customer experience.
The Velocity software platform is designed to enable data-driven clinical decision making.
Research can also be extended to other data-driven areas, such as health analytics, bioinformatics, protein structure prediction, drug design, and systems biology.
Healthcare costs are driving the demand for big data-driven healthcare applications.
This proposal is basically thestarting point for building a whole framework of data-driven molecular engineering.”.
Her team is supporting companies in their journey towards data-driven decision making and business strategy.
It's impossible to attend a conference orread a library magazine today without hearing about data-driven decision making, big data, and measuring outcomes.