Bots vs Brains: How Data Scientists Can Control their Future

Future Prospect of Data Scientists

With the increasingly rapid advancements in Machine Learning, fuelled by technological leaps in Artificial and Business Intelligence, what will be the future role of Data Scientists? Given the relatively short history of conceived and applied AI, the discussion of “what happens next” is escalating in the Data Science community. It was only as recently as … Read more Bots vs Brains: How Data Scientists Can Control their Future

Making decisions with data — The importance of data preparation

Data Science, Data preparation, Data lifecycle management

What’s so important about data preparation? How would it affect leaders in making decisions with data? The advancement of technology has led to an increase in data volume. 80% of the world’s data today is unstructured. Experts are predicting a 4,300% increase in annual data production by 2020 by which time every human will produce … Read more Making decisions with data — The importance of data preparation

Top 4 Common Misconceptions about Data Scientists

Data Scientists - The Center of Applied Data Science

Established and experienced data scientists are often asked, “What is the role of a data scientist in an organization?” As a relatively new profession in what is quickly emerging as an exciting field, data scientists have naturally attracted curiosity from the Average Joe. The direct answer is that the role has evolved over time. Last … Read more Top 4 Common Misconceptions about Data Scientists

3 Tips to Building an Effective Data Science Team

3 Tips to Building Effective Data Science Team - The Center of Applied Data Science

What is the secret recipe to form an effective data science team? It has become an open secret that for organizations to stay relevant in the digital era, they need to focus on developing their own data science capabilities. This involves owning the whole data lifecycle of data management, analysis, and science processes. A new … Read more 3 Tips to Building an Effective Data Science Team