K
Kathleen Martin
Guest
Take a look at the top challenges faced by data science professionals with the growing importance of data science in the age of AI
As a growing number of businesses acknowledge the importance of data science, data science professionals seeking to master the domain, face manifold challenges.
Data Security
As enterprises increasingly transition into cloud data management, the risk of cyberattacks has become inevitable. If not harnessed the power of data science correctly, it can harm companies in terms of both financial status and organizational reputation. To cope with this, organizations should utilize advanced AI-powered security platforms and incorporate additional security checks to safeguard their data.
Misconceptions Over the Role
Organizations expect their data scientist to be proficient in all trades, from cleaning to retrieving data and building models to conduct analysis. However, this is very challenging as it requires a collaborative approach, and to function effectively, tasks need to be distributed among individuals about data preparation, model building, data analysis, and more.
Deficiency of Skilled Talent
Finding the right talent or people with germane skills and knowledge to support businesses is very crucial. People with data science skills, who understand business processes and have domain expertise can help guide a company to the future which is a top priority for enterprises today.
Continue reading: https://www.analyticsinsight.net/what-are-the-challenges-faced-by-data-science-professionals/
As a growing number of businesses acknowledge the importance of data science, data science professionals seeking to master the domain, face manifold challenges.
Data Security
As enterprises increasingly transition into cloud data management, the risk of cyberattacks has become inevitable. If not harnessed the power of data science correctly, it can harm companies in terms of both financial status and organizational reputation. To cope with this, organizations should utilize advanced AI-powered security platforms and incorporate additional security checks to safeguard their data.
Misconceptions Over the Role
Organizations expect their data scientist to be proficient in all trades, from cleaning to retrieving data and building models to conduct analysis. However, this is very challenging as it requires a collaborative approach, and to function effectively, tasks need to be distributed among individuals about data preparation, model building, data analysis, and more.
Deficiency of Skilled Talent
Finding the right talent or people with germane skills and knowledge to support businesses is very crucial. People with data science skills, who understand business processes and have domain expertise can help guide a company to the future which is a top priority for enterprises today.
Continue reading: https://www.analyticsinsight.net/what-are-the-challenges-faced-by-data-science-professionals/
