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Missed JAX DevOps 2019?: We have all the key takeaways right here!

#ML

machine learning
Machine learning is now seen as a silver bullet for solving all problems, but sometimes it is not the answer.

The Limitations of Machine Learning

#artificial intelligence #Data Science #deep learning #machine learning #ML

Most people reading this are likely familiar with machine learning and the relevant algorithms used to classify or predict outcomes based on data. However, it is important to understand that machine learning is not the answer to all problems. Given the usefulness of machine learning, it can be hard to accept that sometimes it is not the best solution to a problem.

AI
Interview with David Wyatt, Vice President EMEA at Databricks

For AI success, developers should collaborate more efficiently with data scientists & engineers

#artificial intelligence #Data Science #ML

The future is bright for AI. Whether data science can change the world or not, that remains to be seen. One thing is sure though: developers should collaborate more efficiently with data scientists & engineers. We talked to David Wyatt, Vice President EMEA at Databricks about the challenges when approaching AI initiatives, the role of Spark in this field and the next step for data engineering and data science teams.