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Data Science & AI

Technologies

element61 offers coaching, guidance and implementation support on Data Science & AI to organizations wanting to get started with becoming smarter through & with data.

Read on to know more about some Data Science Use Cases or how to get started with a Data Science Proof of Concept.

 

Data Science & AI

 

What is Data Science?

Although the concept of Data Science has been trending for years, many organizations today still struggle in really understanding its meaning, envisioning the opportunities and embracing a successful implementation. 

Data Science - also often referred to as Advanced Analytics or Machine Learning - can be defined as:

"the use of new mathematical approaches aimed to turn data into new insights & actions"

It thus pins more to a concept rather than a specific software or application. It can be applied for pure analyses (e.g., understanding the drivers of specific data trends) but also to steer operational processes (e.g., a product recommendation engine, predictive maintenance alert, inventory replenishment order, ...). Data Science is relevant for all teams including Sales, Marketing, Logistics, Finance & HR

The use of advanced analytics is truly visible all around us: Chatbots, advertising, newsletters and recommended playlists.

"Advanced analytics does not need to be as complex as it sounds and does not only suit big organizations. Data Science & AIWith the right supporting technology, any analyst can now, without programming, leverage an entire toolbox to analyze big data sets and build models."

Bart Van Der Vurst, Competence Lead Data Science & Strategy

 

What's a Data Scientist?

Data Science is the skillset of (1) being strong in analysing towards data insights & (2) having the skillset to develop data science algorithms & its related data flows.  

  • He/she is an expert in quantitative techniques & statistics
  • He/she brings experience from previous Data Science projects
  • He/she knows the tools to build Data Science algorithms & their related data flows
  • He/she is hands-on & trained for rapid development allowing us to build rapid prototypes & Proof of Concepts

As element61, our data scientist are experts in their fields focused to purely data science. 

 
Data Science & AI
  Data Scientists help end-to-end from data injestion to modelling & reporting

 

What's the difference with ... ?

A Data Scientist focuses on Machine Learning projects & thus comes into contact with other technical profiles in the process of finding & getting the data, interpreting it in the right way and/or bringing it to a production process. We see on the market that the role of a Data Scientist is typically too broadly defined & includes both visualisation, database development as well as weekly or monthly "regular" business analyses. 

At element61, our Data Scientists focus purely on Machine Learning & Data Product development. Our Data Scientists can help build your Machine Learning algorithms & deliver it to you as scalable data product ready to be used across your organization. Our Data Scientist love to co-develop and coach and can therefore work hand-in-hand with your internal teams to jointly build a succesful delivery.

Although the concept of Data Science has been trending for years, many organizations today still struggle in really understanding its meaning, envisioning the opportunities and embracing a successful implementation.