In today's DFG deep dive conversation, the data platform wizard leader, Leonid Moiseev, talks about data cataloguing - the tools, processes, trends, features, challenges, stakeholders and soooo much more. A great pod for the data nerds amongst us!

This week we are joined by Elisabeth Kant as we discuss unveiling the secrets to building a high-performing Data Science team.This podcast dives deep into the skills you need to succeed in Data Science, from technical expertise to "soft skills" like communication and collaboration. We'll explore how to identify talented candidates and foster their growth within your organization.Here's what we cover:• The key competencies of successful Data Scientists• How to balance technical and soft skills in your team• Strategies for hiring top Data Science talent• How to develop and empower your Data Scientists for long-term success

Listen now and unlock the full potential of your Data Science team!

In today's DFG curious conversation, we tackle a use case of GenAI; the legal industry. A fascinating conversation with Tim about his personal project, the myriad impacts that GenAI is having on legal practices, and how this old industry is reacting to change. We talked about the various practical benefits, the limitations, and what the future of the industry might look like.

We are joined by the amazing Evgeni Hasin, in this episode dives into the world of data and how companies can leverage it for success. We'll explore:

DATA is everywhere! Yet, high QUALITY is not. Kay Kim, tells us about the new and emerging role of 'Data Quality Engineer'. Along with; the need, the impact, the potential and the evolution!

Daniel Schley, Senior Data Operations and Data Engineering leader, shares his insights into future proofing yourself within Data.

Thinking of transitioning your career to Data Science? Watch this! Evgeniy Savin has seen every type of new-joiner in the industry. Here, he helps us to consider all the factors; pre-requisite skills, mindset, and reality. Evgeniy shares his advice, recommendations, and his vision for the future of data science careers. Enjoy!

Data Science leadership of a digital media startup comes with hefty responsibility around data. Ownership of this data could bring better access to customers but also bring major added risk and responsibility. Max guides us through the pros and cons of owning your data or letting an API platform own and control your access.

Daniel Jerman, Marketing Science Leader and Senior Data Product Manager, shares his valuable insights on how Data folks can be valuable. 

Business decisions powered by data, but if Data folks do not understand the business problems they are trying to solve then their chances of success are greatly reduced. Daniel shares his advice on investing time to know your domain, the growing importance of Data Product Managers and how we can democratise data. 

This episode tells us that even with all the best in class Data tools you might be using, the way to provide real value to the business is to truly understand your domain. 

AI enablement, the path to success is littered with challenges. Nichal gives us the rundown of what activties to focus on, and how to effectively educate and implement AI so that your team, business, and customers reap the benefits and avoid the darkness

Nischal Padmanabha comes with 10 years Machine Learning execution and leadership experience, and a wealth of knowledge that his shares with us in this Pod.

#dataforgood #ai #berlin #zuma