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Leveraging semantics to build better AI solutions | IBM Research Blog

Leveraging semantics to build better AI solutions | IBM Research Blog

IBM Research Semantic Data Science packages some of the state-of-the-art techniques for doing column-to-concept mapping, code analysis and knowledge extraction along with a...

9 Best Practices Every Data Science Leader Should Follow | 7wData

9 Best Practices Every Data Science Leader Should Follow | 7wData

Being a data scientist is hard. In addition to the combination of advanced mathematics and coding skills required to do the job, it’s a newer role for many organizations, so...

A Better Future for Economic Resilience

A Better Future for Economic Resilience

With inflation now running at a 40-year high (+7.9%) and gas prices up over 50% since this time last year, millions of American families are experiencing significant financial...

Integrating the Data Science and App Development Cycles

Integrating the Data Science and App Development Cycles

As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual...

Pros And Cons of AI In Manufacturing DataScienceCentral.com

Pros And Cons of AI In Manufacturing DataScienceCentral.com

The fourth industrial revolution has been a game-changer, with the global economy’s expansion driving the adoption of new technologies across sectors. Manufacturers are using AI...

Artificial superintelligence: The next big evolutionary leap

Artificial superintelligence: The next big evolutionary leap

According to Gartner, Artificial Intelligence software revenue is forecast to reach $62.5 billion by 2022. The AI software market is growing in every aspect, and executives push...

Qualitative humanities research is crucial to AI · fast.ai

Qualitative humanities research is crucial to AI · fast.ai

“All research is qualitative; some is also quantitative” Harvard Social Scientist and Statistician Gary King Suppose you wanted to find out whether a machine learning system...

What Must Change In The Business To Support Data Science: Transformation Roadmap and Timeline

What Must Change In The Business To Support Data Science: Transformation Roadmap and Timeline

The last post was high-level strategy and initial planning. This post is focused on building the business pieces in parallel to these Data Science pieces: In the last post, I...

Data Science Trends in the World of Telecommunications - Data Society

Data Science Trends in the World of Telecommunications - Data Society

Data Science Trends in the World of Telecommunications Anika Imajo                         Blogs  Positioned firmly at the intersection of consumer demands and technological...

Exploring the Security Vulnerabilities of Neural Networks

Exploring the Security Vulnerabilities of Neural Networks

Neural networks have remarkable disruptive potential, but this makes their vulnerabilities more concerning. As helpful as these machine learning models can... Neural networks...

Building an ETL Data Pipeline Using Azure Data Factory - Analytics Vidhya

Building an ETL Data Pipeline Using Azure Data Factory - Analytics Vidhya

This article was published as a part of the Data Science Blogathon. ETL is the process that extracts the data from various data sources, transforms the collected data, and...

How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

How to Use a Knowledge Graph to Power a Semantic Data Layer for Databricks

Knowledge Graphs have become ubiquitous, we just don’t know it. We experience it every day when we search on Google or watch the feeds that run through our social media accounts...