March 6, 2024, 7:12 p.m. | Lior Sidi

Towards Data Science - Medium towardsdatascience.com

In the emerging era of AI development, what should be the focal points for data science teams?

Until recently AI models were accessible only via solutions made by data scientists or other service providers. Today, AI is being democratized and available for non-AI experts allowing them to develop their own AI-driven solutions.

What used to take weeks or months for data science teams to collect data, annotate, fit, and deploy a model, can take a few minutes to build with …

ai democratization ai development ai experts ai models ai-safety ai use-cases data data science data science teams data scientists development experts role science scientists service service providers solutions teams them via

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Risk Management - Machine Learning and Model Delivery Services, Product Associate - Senior Associate-

@ JPMorgan Chase & Co. | Wilmington, DE, United States

Senior ML Engineer (Speech/ASR)

@ ObserveAI | Bengaluru