5 Things a Data Scientist Can Do to Stay Current
Demand for data scientists is surging. With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations.
DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises, with tips such as:
- Using automated machine learning (AutoML) frameworks to enhance productivity
- Fostering collaboration between DevOps and machine learning operations (MLOps) teams
- Adopting data handling best practices to ensure more efficient workflows
- Sharing data with trusted partners and suppliers to ensure top value
- Collecting and accessing data from outside sources
Read the ebook to get more information about staying up to speed with the latest technologies in a rapidly evolving AI environment.
We want to understand our customers to drive better customer experiences, make their lives easier or give them an overall better customer experience. At 84.51 we make DataRobot available to all our 200 Data Scientists.
Automated machine learning is a great enabler - it allows data scientists to deliver more valuable work than they could otherwise achieve.
We want to be truly customer-focused with all our 16 million customers, and to do that we need to be able to predict the potential behavior of each of them to put the right offer in front of them at the right time. There's no way we can be as customer-focused as we would like without the help of machine learning.
DataRobot gives you all the tools you need. It will democratize machine learning across the whole business.
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