WHY IT MATTERS: Digital Transformation

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.

We developed the Random Employee Chats application internally, with the goal of recreating the pre-pandemic informal interactions. Here's how we moved from a shared spreadsheet to Cloudflare Workers to automate the entire process.

This report offers an inside look at how DevOps practitioners around the world tackle the same challenges you face. With a mix of hard data and real stories, we hope you’ll find wisdom and encouragement. No one ever said DevOps was easy — not even GitLab. But it is clear that a mix of the right tools, culture, collaboration, and a willingness to try and fail will move software development teams forward.

A l’approche des fêtes de fin d’année, il est d’autant plus important de les soutenir pour les accompagner dans cette période transitoire. Pour y voir plus clair, voici un listing non exhaustif d’initiatives à privilégier pour participer au soutien de l’économie locale française.

This Constellation ShortList™ presents Artificial Intelligence and Machine Learning Best-of-Breed Platforms relevant to early adopters pursuing digital transformation. Offerings included in this document meet the threshold criteria for this category as determined by Constellation Research.

CB Insights and Fast Company team up to analyze high-momentum startups. Key highlight: Enterprise/big data tools dominate: 30% of companies on this year’s list work on enterprise or big data tools.

We are in the midst of an open source renaissance. But how do you turn an open source project into a business? a16z's Peter Levine and Jennifer Li cover the complete go-to-market from community management to enterprise sales.

From 2013 to 2017, AI VC funding increased 4.5x while all VC funding increased 2.08x. The 1997 — 2000 boom in all VC funding can be explained by the dot-com bubble. The smaller booms in 2014 and 2015 reflect a period of relatively large economic growth.

Investors are pouring record-setting levels of capital into bike and scooter technology. We map out 30+ startups innovating in the bike and scooter space through shared networks, vehicle design, and charging infrastructure.

The Warehouse est le premier entrepôt destiné aux startups pour créer la supply chain du futur. Créé par Cdiscount, ce lieu d’innovation propose un programme d’accompagnement de 6 mois, alliant à la fois du mentoring pour challenger la stratégie des startups, mais également des ateliers de codesign avec les utilisateurs experts de leur métier, afin de contextualiser les solutions logistiques des startups sélectionnées.

2016 was a critical year for augmented reality with new device announcements, major acquisitions and massive adoption by consumers and enterprises alike. There is no doubt that AR is the next wave of computing with all of the major players, from Microsoft and Google, to Facebook and Apple, confirming their commitment to this tech.

Artificial intelligence and machine learning technologies are now available to entrepreneurs via a broad range of online tools and applications. AI-powered solutions can help entrepreneurs automate their business communication, generate insights from phone calls, sales and marketing data, create intelligent social media and content strategies, and much more. To help entrepreneurs navigate the expanding ecosystem of business AI solutions, here's a list of six must-have AI tools every entrepreneur should use.

Tech companies are spending hundreds of millions of dollars to improve conditions for female employees. Here’s why not much has changed—and what might actually work.

A ranking of the 100 most promising private artificial intelligence companies.

It is a purely data-driven/algorithmic process that uses CB Insights data. We’ve gathered this data via our
machine learning technology (dubbed The Cruncher) as well as via several thousand direct submissions
from firms and individual professionals using The Editor.
The Company Mosaic page walks through the factors considered in the algorithm in some detail but at a
high level, it considers several factors including:
- Momentum – Considers non-traditional signals including news mentions, sentiment, jobs data/hiring,
social media, web traffic and usage, partnerships, and more.
- Market – Quantifies the health of the sector and industry the company is involved in, including funding,
deals, exit activity, and hiring.
- Money — Assesses financial signals including funding recency and total raised.
- Investor quality – Weighs the quality of the investors participating in deals to the company, judging
investors based on exits, returns, and portfolio quality.

This transformation echoes the impact of Facebook on the media: there is a dramatic leveling of the playing field. The advantages of scale that guaranteed success in the post-war era just don’t matter very much when advertising is cheap, shelf space is infinite, and shipping is free. And, just as Facebook’s breakdown of the media broke down the political parties, Amazon’s break-down of physical retail will have its own knock-on effects: carrying household supplies is a major reason to own a car, for example, which means Amazon is a laying the foundation for a service like Uber to shift from being a car supplement to a full-on substitution.

How I Burned 10 Million Dollars So You Don’t Have To.
(An Education in Humility, Humanity, and Leadership).

In February, my startup (Twenty20) employed 35 people. We had a board-approved plan to scale to 85 by the end of the year. As of July, we were at 55, and well on our way. Now, four months later, our team size is 12.

The Western caricature of Chinese internet firms needs a reboot.

GOOGLE left. Facebook is blocked. Amazon is struggling to make headway. And if further proof were needed that China’s tech market is a world apart, this week seemed to provide conclusive evidence. Uber, a ride-hailing service that is the world’s most valuable startup, decided to sell its local unit to Didi Chuxing, a Chinese rival (see article). Its China dream, like those of so many before, is dead.

For many, the lessons of this latest capitulation are clear. China is a sort of technological Galapagos island, a distinct and isolated environment in which local firms flourish. Chinese firms are protected from external competition by government regulation and the Great Firewall. And that protection means that they need not innovate but can thrive by copying business models developed in the West. In short, China is closed, its firms are cosseted and their talent is for mimicry.