Bridging The Gap Between AI and Business

Stay up to date on the latest and greatest thought leadership on Artificial Intelligence and Machine Learning

Center of Excellence
Dr. Gideon Rosenthal

Strategies for AI Success: AI Center of Excellence

In light of the current hype around artificial intelligence (AI) and data science, you may be wondering what they mean for your organization and why it’s essential to have a center of excellence. To improve the effectiveness of a data science-driven organization, many factors should be considered.

Elior Cohen

Dynamic meta embeddings

If you’ve done any NLP-related reading in the last few months, there is no way you have not heard about BERT, GPT-2 or ELMo that have pushed the boundaries of NLP tasks even further.
Even though these techniques are awesome, there are many NLP problem-setups where you wouldn’t be able to use them.

Dr. Gideon Rosenthal

Why your data science project is likely to fail

Data science is the “new black” – with businesses across all industries looking for ways to leverage AI and machine learning to segment customers, predict events, automate processes – and improve the bottom line.
But is it effective?

Elior Cohen

node2vec: Embeddings for Graph Data

Hotlinks:Original article: node2vec: Scalable Feature Learning for Networks, Aditya Grover and Jure LeskovecAlgorithm implementation — By me: Github repo — Python3Algorithm implementation — By the algo author: Github repo

Dr. Elan Sasson

Data Science: Defining the Problem

You are a data scientist or engaged in a data science project in your organization. Congratulations! You have one of