WHY IT MATTERS: Digital Transformation

Here’s a list of categories that are the key pillars to today’s Modern Data Stack. Inside each, you’ll find the most popular companies within that category.

The field of data science is continuously growing, subsequently, there are a ton of career roles available for one to choose from within the data science domain. This blog lists down some of the most emerging career options in data science one can opt for.

An agile approach to overhauling data architecture improves speed, flexibility, and innovation.

Few organizations take full advantage of data generated outside their walls. A well-structured plan for using external data can provide a competitive edge.

To succeed with data and analytics initiatives, enterprises need a comprehensive view of critical technology capabilities. We believe these Hype Cycles draw a holistic view of technologies — including the new addition of lakehouse architecture as a trigger, which can make data and analytics programs modern, broadly applied, richer in functionality and successful.

Get the report and gain insight into:
-Changes in this Hype Cycle — including the addition of Lakehouse
-The current state of data management maturity
-The Priority Matrix

At first glance, the data fabric and the data mesh concepts sound quite similar. Meshes are often made from a type of fabric, after all, and they are both malleable items that can be lain atop things–in this case, your IT systems that are subject to the ever-growing data crush.

But there are fundamental differences to these two approaches, so it’s worth taking some time to learn their differences.

Dans ce profil, vous trouverez :

1. Une revue historique de la position du Québec en matière d’intelligence artificielle;
2. Une définition de la main-d’œuvre du secteur;
3. Un portrait global de l’emploi ;
4. Une taxonomie des métiers de l’intelligence numérique – que nous définissons comme étant la main-d’œuvre spécialisée en intelligence artificielle ainsi que les métiers périphériques essentiels reliés ;
5. Des fiches métiers traitant de l’estimation du bassin de talents et incluant de multiples informations spécifiques salaires, tâches principales, référentiel de compétences techniques et transversales);
6. Une répartition industrielle des métiers de l’intelligence numérique
7. Un portrait de la demande de compétences et de la formation, incluant les forces et défis concernant ce profil  de talents qui change à une vitesse déstabilisante.
8. L’ensemble de nos données sur l’utilisation des outils numériques, sous la forme de matrices Emploi/Outils numériques et technologies, en annexe du document.

"Everything that should be happening over a five-, 10-year period is happening now," said Pete Madden, a director with AlixPartners. "It's a rethink, it's expensive, and it's on top of expense that has already happened."

In our in-depth playbook, we cover everything you need to know about:
The benefits of a Customer Data Platform;
Getting started with tried-and-true use cases;
Building a team with the right skillsets for any size organization;
Securing buy-in from executives across the company;
Measuring the ROI of CDPs to prove value to different stakeholders

20 years ago Apple seized music, and turned it into a lever for its broader business. It failed to do the same to TV, and lost control of music, but won massively in games, where it now makes more money than the entire global digital music industry. Now, perhaps, it’s looking at advertising.

How to build a modern, scalable data platform to power your analytics and data science projects.

An agile approach to overhauling data architecture improves speed, flexibility, and innovation.

A recap of the Top 100 fastest growing & declining categories in March 2020 vs. March 2019

Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights. Significant vendor growth, product development and myriad competing visions reflect a healthy market that is maturing rapidly.

Dataset Search launches publicly with an index of 25 million datasets, helping scientists, journalists, students, data geeks to find data.

Dataset Search also gives us a snapshot of the data out there on the Web. Here are a few highlights. The largest topics that the datasets cover are geosciences, biology, and agriculture. The majority of governments in the world publish their data and describe it with schema.org. The United States leads in the number of open government datasets available, with more than 2 million. And the most popular data formats? Tables–you can find more than 6 million of them on Dataset Search.

The internet has changed the way we work, interact and learn with others across the world. How many people in the world are online, and how has this changed over time? Explore global and country-level data on internet access and technology.

The most recent version of the dashboards and Business Intelligence tools list. Start here to understand the BI landscape, browse options and understand pricing.