article thumbnail

Where AI is headed in the next 5 years?

Pickl AI

Robotics also witnessed advancements, with AI-powered robots becoming more capable in navigation, manipulation, and interaction with the physical world. Explainable AI and Ethical Considerations (2010s-present): As AI systems became more complex and influential, concerns about transparency, fairness, and accountability arose.

article thumbnail

Up Your Machine Learning Game With These ODSC East 2024 Sessions

ODSC - Open Data Science

Andre Franca | CTO | connectedFlow Join this session to demystify the world of Causal AI, with a focus on understanding cause-and-effect relationships within data to drive optimal decisions. By the end, you will be ready to harness the platform for advanced spatial analysis and the development of sophisticated AI models.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Highlights and Pictures from ODSC East 2023

ODSC - Open Data Science

Some of our most popular in-person sessions were: Data Science Software Acceleration at the Edge: Audrey Reznik Guidera | Sr. We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and how to make deepfakes.

article thumbnail

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

Machine learning engineers can specialize in natural language processing and computer vision, become software engineers focused on machine learning and more. to learn more) In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes.

article thumbnail

MLOps and the evolution of data science

IBM Journey to AI blog

MLOps fosters greater collaboration between data scientists, software engineers and IT staff. The goal is to create a scalable process that provides greater value through efficiency and accuracy. Creating an MLOps process builds in oversight and data validation to provide good governance, accountability and accuracy of data collection.

article thumbnail

11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

Graph Viz: Exploring, Analyzing and Visualizing Graphs and Networks: Tamilla Triantoro, PhD | Associate Professor of Computer Information Systems | Quinnipiac University Beyond the Basics: Data Visualization in Python: Stefanie Molin | Software Engineer, Data Scientist, Chief Information Security Office, Author of Hands-On Data Analysis with Pandas (..)

article thumbnail

MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Truera offers capabilities such as model debugging, explainability, and fairness assessment to gain insights into model behavior and identify potential issues or biases. Learn more from the documentation.