This research summary is part of our AI for Marketing series which covers the latest AI & machine learning approaches to 5 aspects of marketing automation: AttributionOptimizationPersonalizationAnalyticsContent Generation: ImagesContent Generation: VideosContent Generation: Text After Generative Adversarial Networks (GANs) were introduced by Ian Goodfellow in 2014, a … [Read more...] about New Ways To Leverage AI Image Synthesis For Marketing & Advertising Content
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Novel AI Methods For Video Generation for Marketing & Advertising
This research summary is part of our AI for Marketing series which covers the latest AI & machine learning approaches to 5 aspects of marketing automation: AttributionOptimizationPersonalizationAnalyticsContent Generation: ImagesContent Generation: VideosContent Generation: Text AI algorithms can significantly increase the efficiency of the original content generation … [Read more...] about Novel AI Methods For Video Generation for Marketing & Advertising
AI Approaches For Text Generation In Marketing & Advertising Use Cases
This research summary is part of our AI for Marketing series which covers the latest AI & machine learning approaches to 5 aspects of marketing automation: AttributionOptimizationPersonalizationAnalyticsContent Generation: ImagesContent Generation: VideosContent Generation: Text Can AI help you write high converting copy for your advertising and marketing … [Read more...] about AI Approaches For Text Generation In Marketing & Advertising Use Cases
AAAI 2021: Top Research Papers With Business Applications
With a record high of 9034 research papers submitted to AAAI 2021 and an acceptance rate of 21%, a total of 1692 papers were presented at the conference. As usual, the Outstanding and Distinguished Papers awards were given to the papers exemplifying the highest standards in technical contribution and exposition. Of course, there were many more papers presented at the conference … [Read more...] about AAAI 2021: Top Research Papers With Business Applications
Transfer Learning for Time Series Forecasting and Classification
A brief history: ImageNet was first published in 2009 and over the next four years would go on to form the bedrock of most computer vision models. To this day whether you are training a model to detect pneumonia or classify models of cars you will probably start with a model pre-trained on ImageNet or some other large (and general image) dataset. More recently papers … [Read more...] about Transfer Learning for Time Series Forecasting and Classification
Graph Convolutional Networks (GCN)
In this post, we’re gonna take a close look at one of the well-known graph neural networks named Graph Convolutional Network (GCN). First, we’ll get the intuition to see how it works, then we’ll go deeper into the maths behind it. Why Graphs? Many problems are graphs in true nature. In our world, we see many data are graphs, such as molecules, social … [Read more...] about Graph Convolutional Networks (GCN)
The Essential Landscape of Enterprise AI Companies (2020)
By our definition, "enterprise" technology companies create tools for workplace roles and functions that a large number of businesses use. Plenty of enterprise companies use combinations of automated data science, machine learning, and modern deep learning approaches for tasks like data preparation, predictive analytics, and process automation. Many are well-established … [Read more...] about The Essential Landscape of Enterprise AI Companies (2020)
These 10 Companies Are Transforming Marketing With AI
Traditional marketing tools lack the flexibility, scalability, and comprehensiveness to address many of the challenges faced by modern companies. With growing digitization and an always-online audience, more marketing teams now require artificial intelligence (AI) to stay competitive. Before rushing to hire a data science team, you need to evaluate the third-party AI … [Read more...] about These 10 Companies Are Transforming Marketing With AI
Reformer, Longformer, and ELECTRA: Key Updates To Transformer Architecture In 2020
The leading pre-trained language models demonstrate remarkable performance on different NLP tasks, making them a much-welcomed tool for a number of applications, including sentiment analysis, chatbots, text summarization, and so on. However, good performance usually comes at the cost of enormous computational resources that are not accessible by most researchers and business … [Read more...] about Reformer, Longformer, and ELECTRA: Key Updates To Transformer Architecture In 2020
Deep Transfer Learning for Image Classification
The following tutorial covers how to set up a state of the art deep learning model for image classification. The approach is based on the machine learning frameworks “Tensorflow” and “Keras”, and includes all the code needed to replicate the results in this tutorial. The prerequisites for setting up the model is access to labelled data, and as an example case I have used … [Read more...] about Deep Transfer Learning for Image Classification