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Data science is and has been on a roll since tools likeartificial intelligence became more accessible to businesses.
For data scientists, this means new avenues for streamlining business processes.
And the sources of big data only keep on growing.
Industries can then apply these tools towards their own understanding of workflow functions and trends.
Data is breaking down barriers, enabling everything from self-driving vehicles to more carefully targeted advertising.
By nature of these innovations, companies can improve their productivity and cut down on costs.
Facing this reality, it only makes sense that demand for data scientists will continue to grow.
Data scientists can positively impact industries like manufacturing, retail, and finance.
Because of this, data scientists are flocking to this humanitarian industry.
Transportation
In transportation, too, data scientists can make life-saving improvements.
These outcomes are the results of machine precision that only data scientists can provide.
Honeywell demonstratedthe power of connected and data-driven travel with their unveiling of a fully IoT-connected aircraft.
The same is true of the software being devised by car and truck manufacturers to secure better solutions.
The result was a confusing, often-delayed mess.
But for supply chain managers operating with the help of data scientists,supply chains can function more smoothly.
The resulting improvements in the inventory reconciliation processes saved the company 600 hours of labor daily.
AI adoption alone has skyrocketed in recent years.
As the accessibility and power of data become more common, so too does the need for data scientists.
Now, data scientists must help businesses navigate a world of global data collection and applications.
One such measure they can be part of issetting global data security standardsfor various industries.
