The Artificial Intelligence Podcast

760 Episodo

1. When should organizations consider data mesh?

   Publicado: 24/5/2021
2. How we can fix the data science talent shortage

   Publicado: 16/5/2021
3. How AIOps improves application monitoring

   Publicado: 15/5/2021
4. How transfer learning jump-starts new AI projects

   Publicado: 14/5/2021
5. Rethinking platform modernization using data mesh

   Publicado: 13/5/2021
6. What is Apache Spark? The big data platform that crushed Hadoop

   Publicado: 11/5/2021
7. What is deep reinforcement learning: The next step in AI and deep learning

   Publicado: 10/5/2021
8. 3 big data platforms look beyond Hadoop

   Publicado: 6/5/2021
9. Graph analysis: Not the dots, but the connections

   Publicado: 4/5/2021
10. Google GPipe and Microsoft PipeDream: Scaling AI training

    Publicado: 2/5/2021
11. Checking AI bias is a job for the humans

    Publicado: 1/5/2021
12. How AI helped Domino’s improve pizza delivery

    Publicado: 30/4/2021
13. What is NoSQL? Databases for a cloud-scale future

    Publicado: 28/4/2021
14. What is data mining? How analytics uncovers insights

    Publicado: 28/4/2021
15. Is your data lake open enough? What to watch out for

    Publicado: 28/4/2021
16. What is big data analytics? Fast answers from diverse data sets

    Publicado: 28/4/2021
17. What is a data lake? Flexible big data management explained

    Publicado: 28/4/2021
18. Open source model server for PyTorch on AWS - TorchServe

    Publicado: 23/4/2021
19. Exploring best machine learning and deep learning libraries

    Publicado: 22/4/2021
20. What we just learned about data science — and what’s next

    Publicado: 22/4/2021