WHY IT MATTERS: Digital Transformation

Investments in digital commerce continue to grow as companies adapt to new business models and sales processes prompted by the COVID-19 pandemic. This research evaluates the viability of 17 digital commerce platform vendors to help application leaders make informed decisions.

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

Application leaders can not meet market needs or business objectives with monolithic digital experience platforms and must update tech stacks, decompose monoliths and deliver task-oriented capabilities. To future-proof the stack, a composable DXP must be used to deliver composable user experiences.

The ERP for product-centric enterprises market is accelerating its transition to cloud deployment models. ERP application leaders should use this Magic Quadrant to evaluate cloud ERP application suites as part of a composable ERP strategy.

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.

This reference architecture, a key piece of Credera’s end-to-end MarTech assessment and enablement framework, provides a logical view of the data, processes, and technology needed to enable one-to-one marketing use cases. Put more simply, we use the reference architecture as a tool to explain the building blocks that are required to enable modern, data-driven marketing.

The martech reference model defines a taxonomy based on a common understanding of customer-centric business needs, requisite capabilities, and the recommended technology components.

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

API usage, and the need to govern it, is increasing rapidly driven by remote working, platforms, ecosystems, innovations, digital transformations and regulations. Application leaders should use this Magic Quadrant to find the right API life cycle management vendor for their organization’s needs.

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.

This talk describes experiences with building and deploying Piranha, an automated code refactoring tool to delete code corresponding to stale feature flags. The Piranha workflow has been used continuously at Uber since early 2018 to help delete more than 4K stale flags (> 200KLoC) across Java, ObjectiveC, and Swift code.

In our 15-criterion evaluation of product information management (PIM) providers, we identified the 10 most significant ones — Akeneo, Contentserv, IBM, Informatica, inRiver, Riversand, Salsify, Stibo Systems, Syndigo, and Winshuttle — and researched, analyzed, and scored them. This report shows how each provider measures up and helps eBusiness professionals select the right one for their needs.

See side-by-side comparisons of the top 6 marketing automation vendors in one convenient guide. Compare costs, both upfront and ongoing, and get insight into contract terms. See a roll-up of ratings from the most popular review sites to hear what real users like you think of the various platforms out there.

Our toolkit will introduce you to the market’s landscape of new eCommerce tools and highlight the opportunities for your store.

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

Harmonizing architecture and agile teams (like SAFe®) can contribute to the delivery of successful projects aligned to corporate strategies.

There is no doubt that the cloud is one of the most significant platform shifts in the history of computing. Now, there is a growing awareness of the long-term cost implications of cloud. As the cost of cloud starts to contribute significantly to the total cost of revenue (COR) or cost of goods sold (COGS), some companies have taken the dramatic step of “repatriating” the majority of workloads (as in the example of Dropbox) or in other cases adopting a hybrid approach (as with CrowdStrike and Zscaler). Those who have done this have reported significant cost savings: In 2017, Dropbox detailed in its S-1 a whopping $75M in cumulative savings over the two years prior to IPO due to their infrastructure optimization overhaul, the majority of which entailed repatriating workloads from public cloud.

Discover the trends and tech, from “waterless” beauty products to virtual try-on, that will continue to transform the beauty sector in 2021 and beyond.

Google Docs is gaining all-new features, using the @ mention to create smart chips that connect Meet, Tasks, and more. It’s part of a reinvention of Workspace with something Google calls the "smart canvas."

An in-depth analysis of lift-and-learn sensing technologies, their strengths and weaknesses, and the future of in-store marketing technologies.

Dynamic pricing isn’t just for travel companies or e-commerce giants, and it doesn’t necessarily require ultrasophisticated software that changes every product’s price multiple times a day.

In this e-book, we'll answer all of the questions you have about customer data platforms and help you to understand the value that a CDP can bring to your business. You will also learn specifically how a CDP can increase customer lifetime value and other key metrics.

Event-driven Architecture (EDA) is a software architecture paradigm promoting the production and consumption of events.

An event represents an action of significant interest. Often, events correspond to a creation or a change of state of some entity. For example, raising an order in an e-commerce application is an event. Dispatching a product as a result of an earlier order is also an event. A customer submitting a review for a received product is — you guessed it — an event.

Shortsighted solutions to recurring problems--antipatterns--often sabotage technology transformations.