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5 Ways To Leverage AI Research In Marketing & Advertising

April 23, 2020 by Mariya Yao

AI research for Marketing

Today, Artificial Intelligence (AI) can drive effective solutions to lots of marketing challenges. It can help you optimize your advertising budget, personalize your customers’ experience, suggest the most accurate attribution model, boost your marketing analytics, and even generate original brand content, including images and advertising slogans. However, AI is evolving so … [Read more...] about 5 Ways To Leverage AI Research In Marketing & Advertising

Data Labeling For Natural Language Processing

April 9, 2020 by Ivan Lee

NLP data labeling

Why Does Training Data Matter? Machine Learning has made significant strides in the last decade. This can be attributed to parallel improvements in processing power and new breakthroughs in Deep Learning research. Another key reason is the abundance of data that has been accumulated. Analysts estimate humankind sits atop 44 zettabytes of information today. The … [Read more...] about Data Labeling For Natural Language Processing

Recommendation Systems in the Real World

January 29, 2020 by Parul Pandey

recommender system

Too few choices are bad but too many choices can lead to paralysis Have you heard about the famous Jam Experiment? In 2000, psychologists Sheena Iyengar and Mark Lepper from Columbia and Stanford University presented a study based on their field experiment. On a regular day, consumers shopping at an upscale grocery store at a local food market were presented with a tasting … [Read more...] about Recommendation Systems in the Real World

The Remarkable World of Recommender Systems

January 29, 2020 by Parul Pandey

recommender systems

A lot of times, people don't know what they want until you show it to them - Steve Jobs Here is an excerpt from the book The Long Tail by Chris Anderson: “In 1988, a British mountain climber named Joe Simpson wrote a book called ‘Touching the Void’, a harrowing account of near death in the Peruvian Andes. It got good reviews but, only a modest success, it was soon … [Read more...] about The Remarkable World of Recommender Systems

A Friendly Introduction to Data-Driven Marketing for Business Leaders

January 28, 2020 by James Le

marketing attribution

Introduction Marketing attribution has been around for many years, and as the number of available advertising channels continues to shift and expand, so do the strategies employed by teams to leverage those channels. In this blog post, I want to dive deep specifically into using machine learning models as opposed to heuristic models for marketing attribution across … [Read more...] about A Friendly Introduction to Data-Driven Marketing for Business Leaders

How Much Does MLaaS Cost?

October 10, 2019 by Kate Koidan

MLaaS pricing

Machine learning as a service (MLaaS) platforms offer machine learning tools as a part of cloud computing services. If you are new to the MLaaS concept, check out our comprehensive beginner's guide to machine learning as a service. The key players in this market include Amazon, Microsoft, Google, and IBM. The offerings of these providers vary. So, if you are looking for the … [Read more...] about How Much Does MLaaS Cost?

A Comprehensive Beginner’s Guide To Machine Learning As A Service

October 10, 2019 by Mariya Yao

MLaaS guide

What’s machine learning as a service or MLaaS? Machine learning as a service (MLaaS) refers to a number of services that offer machine learning tools as a part of cloud computing services. The main benefit of this solution is that customers can get started with machine learning applications quickly without installing specific software or provisioning their own servers. All … [Read more...] about A Comprehensive Beginner’s Guide To Machine Learning As A Service

How Comcast Handles Vast Amounts of Streaming Data with MLFlow and Kubernetes

October 3, 2019 by Kate Koidan

Model deployment with Kubernetes

Comcast is one of the leading providers of communications, entertainment, and cable products and services. It employs classical machine learning (ML) models and deep learning for a variety of computer vision tasks, natural language processing, and personalization of customer experience. As the company invokes models billions of times per day, it needs quite a robust ML … [Read more...] about How Comcast Handles Vast Amounts of Streaming Data with MLFlow and Kubernetes

How To Optimize Product Design With AutoML (H2O Driverless AI Case Study)

October 2, 2019 by Kate Koidan

Driverless AI architecture

Stanley Black & Decker is a company known for its consumer and professional tools, storage solutions and other products. It has quite a few well-known brands under its umbrella, including DeWalt, Proto, Lista, and Craftsman. However, tools and storage make up only half of their business. At Stanley, they also offer various solutions in consumer and residential security and … [Read more...] about How To Optimize Product Design With AutoML (H2O Driverless AI Case Study)

Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson

September 27, 2019 by Olexander Kolisnykov

MLaaS comparison

For most businesses, machine learning seems close to rocket science, appearing expensive and talent demanding. And, if you’re aiming at building another Netflix recommendation system, it really is. But the trend of making everything-as-a-service has affected this sophisticated sphere, too. You can jump-start an ML initiative without much investment, which would be the right … [Read more...] about Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI, IBM Watson

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