Similarly, retail companies will evolve in their AI Maturity from 38 today to 54 in 2024. Notably, many retail companies show a deeper commitment to AI transformation than other industries. Walgreens Boots, as part of its efforts to create a more data-driven organization that can offer customers highly personalized digital service, migrated from legacy databases to advanced cloud databases and analytics. The company also built more than 100 high-value AI products that create detailed customer profiles and help it better optimize inventory and prices.

For decades, the shift towards Ecommerce has continued steadily across the globe, with growth consistently outpacing (and eating into) bricks and mortar retailing. The COVID pandemic has simply accelerated that shift. Yet many consumer goods companies are still behind the curve in their use of technology. Ella, my 12-year-old daughter, has illustrated this point to me several times during the past year. It begins when she shows me her phone and says, "look daddy, check out this new arts-and-crafts or room decor video on TikTok."

How one Kaggler took top marks across multiple Covid-related challenges. Today we interview Daniel, whose notebooks earned him top marks in Kaggle's CORD-19 challenges. Kaggle hosted multiple challenges that worked with the Kaggle CORD-19 dataset, and Daniel won 1st place three times, including by a huge margin in the TREC-COVID challenge. My research interests include probabilistic forecasting, causal inference and machine learning. As part of the Kaggle CORD-19 challenge I developed discovid.ai I'm also a student assistant where I've worked on several data science projects for the last 3 years and had the opportunity to work with real world data from different companies in highly diverse domains -- from predicting the waste in a sawmill to analyzing flaws in the process of surface galvanization and testing the efficiency of a marketing campaign.

Google is bringing the same Gmail's AI-powered Smart Reply feature to Google Docs. Google Docs is an online word processor included as part of the free, web-based Google Docs Editors suite offered by Google which also includes Google Sheets, Google Slides, Google Drawings, Google Forms, Google Sites, and Google Keep. Google Docs is accessible via an internet browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's Chrome OS. The web-based application allows users to create and edit documents online while collaborating with other users in real-time. The smart reply feature relies on artificial intelligence and is one that pops up just like when replying to messages on Gmail.

In this contributed article, Taggart Bonham, Product Manager of Global AI at F5 Networks, discusses last June, OpenAI released GPT-3, their newest text-generating AI model. As seen in the deluge of Twitter demos, GPT-3 works so well that people have generated text-based DevOps pipelines, complex SQL queries, Figma designs, and even code. In the article, Taggart explains how enterprises need to prepare for the AI economy by standardizing their data collection processes across their organizations like GPT-3 so it can then be properly leveraged.

Deploying versatile collaborative robots or cobots in production processes is an easy way to automate dirty, dull or dangerous tasks. Read on this article and find out more about how you can rise to the challenges of your industry using human-robot collaboration. Constant industrial and technological progress has made the metalworking and machining industry highly competitive. The new challenge is to increase productivity without compromising on quality. The field of collaborative robotics provides one of the most promising avenues in meeting this challenge.

Neural Networks are quite confusing, especially when you are programming them from scratch. This article will give you an intuition for the relevant concepts necessary for the neural network to work, by creating and training a univariate regression model, with one synapse, between the input and output. Imagine you are a doctor, and you want to find a quantitative relationship between height and weight: That is, you want to be able to reliably predict the weight of someone, given their height. So far, you have data on 5 people's height and weight. When we look at this graph, we can visualize a line that best explains the data, but we want to quantify this.

Artificial Intelligence these days has become a new key driver of economic growth. It is a significant field in technology right now. While several countries are racing towards AI supremacy, Canada is attracting the world's tech giants that are pouring mammoth amounts in the region. The country is currently in the midst of the AI boom as companies like Microsoft, Facebook, Google, Huawei, among others are spending huge capital on research hubs in Quebec, Ontario and Alberta. Canada is a world research leader and home to extraordinary AI-driven businesses, and has played a vital role in the advancement of AI.

The manufacturing industry exhibits some contradictions when it comes to automation and technology. On the one hand, manufacturing was among the first industries to integrate any type of technology more than a century ago, as companies incorporated tools to aid in the production process. On the other hand, manufacturing companies are risk-averse when it comes to implementing new technology quickly, mainly due to the large amount of capital and time at stake. However, according to a new report from Tractica, manufacturing companies are now incorporating artificial intelligence (AI) technology within their environments at a modest, yet steady, pace. The market intelligence firm forecasts that annual worldwide manufacturing sector investment in AI software, hardware, and services will increase from $2.9 billion in 2018 to $13.2 billion by 2025.

Can machines think and act as humans can do? If this question fascinates you, this article is a good read for you. By now, most companies understand the value of machine learning in data processing. Those that have the means are already investing in technologies fueled by artificial intelligence. In this post, you will become familiar with the basic concepts of machine learning and the scope of its application in business.