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10 Data Engineering Topics and Trends You Need to Know in 2024

ODSC - Open Data Science

Now that we’re in 2024, it’s important to remember that data engineering is a critical discipline for any organization that wants to make the most of its data. These data professionals are responsible for building and maintaining the infrastructure that allows organizations to collect, store, process, and analyze data.

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Top 8 AI Conferences in North America in 2023 and 2024 

Data Science Dojo

IMPACT is a great opportunity to learn from experts in the field, network with other professionals, and stay up-to-date on the latest trends and developments in data and AI. The conference covers a wide range of topics, including deep learning, natural language processing, computer vision, and reinforcement learning.

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Top 9 AI conferences and events in USA – 2023

Data Science Dojo

Role of AI for leading professionals Here are some specific examples of how attending AI events and conferences can help individuals and organizations to learn and adapt to new technologies: A software engineer can gain knowledge about the latest advancements in natural language processing by attending an AI conference.

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Five benefits of a data catalog

IBM Journey to AI blog

It seamlessly integrates with IBM’s data integration, data observability, and data virtualization products as well as with other IBM technologies that analysts and data scientists use to create business intelligence reports, conduct analyses and build AI models.

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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, data engineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. This provides end-to-end support for data engineering and MLOps workflows.