6 Reasons Why AI Projects Fail
6 Reasons Why AI Projects Fail It seems AI is present everywhere but the reality is that many businesses are experiencing problems in successfully implementing AI. According to the MIT SMR-BCG Artificial Intelligence Global Executive Study and Research Report, seven...
10 Things Projects Managers Should Know Before Starting an AI Project
10 Things Projects Managers Should Know Before Starting an AI Project AI and machine learning technologies are transforming the way organizations streamline their business processes and operations. Across industries, companies are realizing the benefits of AI...
9 Ways Companies Use AI for Social Listening
9 Ways Companies Use AI for Social Listening Customer engagement is a key ingredient for the success of any business enterprise. To succeed at marketing, organizations need to align themselves with the voices and expectations of their target audience. That's not all –...
What is Explainable AI?
What is Explainable AI? As deep learning technologies like Artificial Intelligence (AI) and Machine learning (ML) advance, we are being challenged to understand the outputs produced by computer algorithms. For example, how did ML algorithms produce a particular...
What Makes AI Explainable?
What Makes AI Explainable? Artificial intelligence (AI) applications have exploded due to machine learning's success. Future developments should result in autonomous systems that can perceive, learn, make decisions, and act. However, the incapacity of these systems'...
How Healthcare Could Use Explainable AI?
How Healthcare Could Use Explainable AI? Healthcare, finance, insurance, and manufacturing are just a few industries where artificial intelligence (AI) greatly impacts. More complex AI models are being developed to meet the requirements of particular use cases....
What is an Adversarial AI Attack?
What is an Adversarial AI Attack? Deep learning technologies like Artificial Intelligence (AI) and machine learning (ML) present a range of business benefits to enterprises. At the same time, an adversarial AI attack is a growing security challenge for modern systems....
6 Problems AI is Good at Solving
6 Problems AI is Good At Solving Over 85% of data science projects fail to go beyond testing and into production. If everyone is starting a Machine Learning / Artificial Intelligence project, where is it going wrong? With this post it should help you to focus on...
Tutorial: How to pre-train ELECTRA for Spanish from Scratch
Tutorial: How to pre-train ELECTRA for Spanish from Scratch Originally published by Skim AI's Machine Learning Researcher, Chris Tran. Introduction This article is on how pre-train ELECTRA, another member of the Transformer pre-training method family, for Spanish to...
Tutorial: How to Fine-Tune BERT for Named Entity Recognition (NER)
Tutorial: How to Fine-tune BERT for NER Originally published by Skim AI's Machine Learning Researcher, Chris Tran. Introduction This article is on how to fine-tune BERT for Named Entity Recognition (NER). Specifically, how to train a BERT variation, SpanBERTa, for...
Tutorial: How to Fine-Tune BERT for Extractive Summarization
Tutorial: How to Fine-Tune BERT for Extractive Summarization Originally published by Skim AI's Machine Learning Researcher, Chris Tran 1. Introduction Summarization has long been a challenge in Natural Language Processing. To generate a short version of a document...
Named Entity Recognition with Transformers
Named Entity Recognition with Transformers IntroductionPermalink Part I: How We Trained RoBERTa Language Model for Spanish from Scratch In my previous blog post, we discussed how we pretrained SpanBERTa, a transformer language model for Spanish, on a big corpus from...
8 Ways News & Content Companies Use A.I. to Save Money & Improve UX
8 Ways News & Content Companies use A.I. to Save Money and Improve UX The best way to understand the impact of technology is to understand the specifics, examples of how to actually apply technology to solve current problems. The following are 8 common AI...
6 Problems AI is Good at Solving
6 Problems AI is Good At Solving Over 85% of data science projects fail to go beyond testing and into production. If everyone is starting a Machine Learning / Artificial Intelligence project, where is it going wrong? With this post it should help you to focus on the...
Natural Language Generation and Its Business Applications
Natural Language Generation and Its Business Applications Natural Language Generation (NLG) As a continued exploration of AI Authors and Robot-Generated news, it is worthwhile to explore some of the technology driving these algorithms. AI designed to generate...
Tutorial: How to train a RoBERTa Language Model for Spanish
SpanBERTa: How We Trained RoBERTa Language Model for Spanish from Scratch Originally published by Skim AI's Machine Learning Research Intern, Chris Tran. spanberta_pretraining_bert_from_scratch Introduction¶ Self-training methods with transformer models have...
Tutorial: Fine-tuning BERT for Sentiment Analysis
Tutorial: Fine tuning BERT for Sentiment Analysis Originally published by Skim AI's Machine Learning Researcher, Chris Tran. BERT_for_Sentiment_Analysis A - Introduction¶ In recent years the NLP community has seen many breakthoughs in Natural Language Processing,...
10 Questions to Ask Before Starting a Machine Learning Project
10 Questions to Ask Before Starting a Machine Learning Project Over 80% of data science projects fail to go beyond testing and into production. If everyone is starting a machine learning project, where is it going wrong? Undoubtedly, ML solutions increase efficiencies...
How to use Skim AI in your research process
How to use Skim AI in your research process It’s very likely that your organization’s current methods for managing the research process, the data collected from it and the content produced as a result are coming up short. Tools like Google Drive, Evernote, and...
The new wave in journalism – robot writers?
The new wave in journalism - robot writers? So, how prevalent are robot reporters? What dangers do robot reports pose? What is the likelihood that the article you are reading wasn’t written by a human? A 2015 report stated the AP was generating about 3,000 articles a...
Product Update – Smarter Searching
WIth smart search functionality and sleeker design, Skim AI v3.0 makes your research efforts even more streamlined. Install for free today.
Topic Modeling for Product Managers
Topic Modeling for Product Managers What is Topic Modeling? Topic modeling is a type of natural language processing (NLP) used to find “topics,” or commonly occurring words or groups of words, within a set of documents. Topic models are critical to product managers...
10 Best Practices for Storing Labeled Data
10 Best Practices for Storing Labeled Data You just had your big idea. You read a lot, and you thought it would be interesting to have a classifier that labels a speaker’s tone and determines their political affiliation. How would you begin to break down the problem...
What You Should Know Before You Select a Sentiment Analysis Dataset
Every sentiment model requires training data, referred to as a sentiment analysis dataset. There are a few things you should know before you make your decision as to which popular dataset to use.
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