WHY IT MATTERS: Digital Transformation

So, What’s a Transformer Model?
A transformer model is a neural network that learns context and thus meaning by tracking relationships in sequential data like the words in this sentence.
Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other.
First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date. They’re driving a wave of advances in machine learning some have dubbed transformer AI.
Stanford researchers called transformers “foundation models” in an August 2021 paper because they see them driving a paradigm shift in AI. The “sheer scale and scope of foundation models over the last few years have stretched our imagination of what is possible,” they wrote.

The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop a more thorough and nuanced understanding of the complex field of AI. The report aims to be the world’s most credible and authoritative source for data and insights about AI.

The People + AI Guidebook is a set of methods, best practices and examples for designing with AI. Our recommendations are based on data and insights from over a hundred Googlers, industry experts, and academic research.

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.

Neuroscientist and tech entrepreneur Jeff Hawkins claims he’s figured out how intelligence works—and he wants every AI lab in the world to know about it. 

AI Québec is a tech-enabled coffee-table book featuring the champions of Québec, the well-established and the disruptors alike. Its 300+ pages feature stories by the companies who are shaping the Québec of today and tomorrow and include exclusive Thought Leader pieces by the province’s most recognizable advocates. With AR video canvases on most features, images on the book’s pages come to life when scanned with the free Global Village Publishing app.

A collection of interaction patterns that provide solutions for common AI challenges.

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.

A systematic approach to identifying and prioritizing AI risks can help organizations effectively target mitigation efforts.

Our latest AI advancements represent fundamental building blocks that could power entirely new future shopping experiences.

• Facebook AI is on a quest to build the world’s largest shoppable social media platform, where billions of items can be bought and sold in one place.

• As a key milestone toward this goal, we’re sharing details on how we’ve improved and expanded GrokNet, our breakthrough product recognition system. Now, it’s powering new applications on Facebook, like product tagging and showing visually similar products. Soon, we’ll bring visual search to Instagram so that people find similar products just by tapping on an image.

• We’re also diving into our latest advancements, which provide a deeper, more nuanced understanding of product attributes and multimodal signals. These advancements collectively represent fundamental building blocks that could power entirely new shopping innovations of the future.

The Retail Tech 100 is CB Insights' annual ranking of the 100 most promising B2B retail tech companies in the world. This year's winning companies include startups working on e-commerce infrastructure, supply chain automation, cashierless checkout, and more.

Covid brought shock and a lot of broken habits to tech, but mostly, it accelerates everything that was already changing. 20 trillion dollars of retail, brands, TV and advertising is being overturned, and software is remaking everything from cars to pharma. Meanwhile, China has more smartphone users than Europe and the USA combined, and India is close behind - technology and innovation will be much more widely spread. For that and lots of other reason, tech is becoming a regulated industry, but if we step over the slogans, what does that actually mean? Tech is entering its second 50 years.

Complimentary copy of the latest Gartner Magic Quadrant for CRM Customer Engagement Center (CEC) and find out why Freshworks is the only company recognized as a Visionary.

The future travel experience will be personalised, delivering seamless and safe services that are high value, low touch and consumer-centric, thanks to an accelerated digital transformation post-pandemic. These new advances in technology will usher in a new era of automation, requiring upskilling for employees to provide greater levels of high-quality service. Tracking climate impact across consumers, brands and destinations will be critical for building resilience, agility and speed to combat future risks and accelerate the green transition.
This white paper outlines a vision for how consumers will book and experience travel in 2040, exploring how technology and the need for sustainability could change the travel experience over the next 20 years. In particular, this analysis will focus on the future of travel — exploring what online travel agents, urban mobility, air travel and hotels will look like.

Which technology trends are most likely to impact your business in the coming years? Trends are waypoints to help anticipate future states in a world where uncertainty looms. The Future Today Institute's annual Tech Trends Report asks you to examine your assumptions, cherished beliefs and expectations for the future using a bolder, more holistic perspective. In the 13th edition of our Tech Trends Report, we forecast the key technology trends that will redefine businesses in the coming years. More importantly, we offer strategic analysis and guidance on those trends and further explore them in future scenarios to help you understand their implications on your organization and industry.

Google Cloud was named a Leader and received the highest score across all 10 Forrester New Wave™: Computer Vision Platforms, Q4 2019 evaluation criteria.

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.

In our Strategic Apps group at Zapier, we've figured out a way to do standups in a timely manner, make them minimally disruptive, and not add a burden to anyone else. To cut to the chase, we delegated most of the work to a robot, and we do it all asynchronously.

Building the infrastructure to manage the lifecycle of machine learning models remains a challenge for most organizations. While we have seen tremendous advancements in machine/deep learning…

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.

RPA is a software robot that mimics human actions, whereas AI is the simulation of human intelligence by machines. Many people often asked about the difference between Robotic Process Automation (RPA) and Artificial Intelligence (AI). Some even confused the two to be the same.
To make matters worse, many vendors are now brandying about terms like Intelligent Automation (IA) or Intelligence Process Automation (IPA). For the uninitiated, all these jargon can be very confusing, and perhaps daunting. To help you out, we have put together this blog post to highlight the key differences between RPA and AI, particularly in the context of process automation.

Machine learning is the process of a machine attempting to accomplish a task, independent of human intervention, more efficiently and more effectively with every passing attempt i.e learning phase.

The future of navigation will be centralized around HD maps. While plenty of companies exist to provide this type of data, all are limited by paywalls and strict Terms-of-Service. It is time for this paradigm to change. Comma.ai is releasing US interstate HD maps from our 5,000,000+ miles of data.