WHY IT MATTERS: Digital Transformation

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.

If you take nothing else away from this post, it should be that retention matters. A lot. No other metric is as singularly telling of whether your business will thrive or die. And so, the better you understand what good retention looks like for your business, the better shot you have at the former. We hope this research proves useful to you whether you’re building, investing, or just curious.

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.

With recent uncertain times across the world, 2020 is shaping up to be both exciting and frightening. Many startups have experienced cutbacks, including many needing to initiate layoffs while others…

These tech “laws” describe why a given network’s value rises exponentially with the volume of participants (Metcalfe’s Law), why most marketing channels eventually produce diminishing returns (Law of Shitty Clickthroughs), or why starting with simple iterations leads to better long-term products (Gall’s Law). Some, like Moore’s Law, have been extremely prescient. Others, like Conway’s Law, provide counterintuitive insights — such as why Apple’s corporate structure is key to its user experience
The report look at 8 of the most famous tech laws, where they come from, why they matter, and how they help describe some of tech’s biggest successes.

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.

Must-do's in order for your hires to reach their full potential you need to put a structure in place that encourages and nurtures their growth, both technically and as managers and leaders.

When it comes to specific start-up sub-sector leadership, we see Montreal emerge as one of the global hotspots for artificial intelligence (AI) start-ups. Since 2016, more than $1 billion has been invested in AI companies located there (including notable startup Element AI), and it has the largest concentration of AI academic researchers in the world. Montreal also hosts the NeurIPS conference, the largest AI event held annually in the world.

We've compiled a collection of the best startups committed to revolutionizing finance, help anybody build a nest egg, get better student loans or rental insurance, invest in non-traditional products like startups or classic cars, or just save some money.

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.

AR/VR hype keeps reaching new heights. Funding to AR/VR startups reached an all-time high in deals and dollars last year. Both Facebook and Apple are reputed to have 1000+ engineers working on their respective headset efforts. And PlayStation said its PSVR, a $400 headset released in October, has sold 915k units in just 4 months. Unsurprisingly, startups of all kinds are flocking toward what could be the next major computing platform.

In this webinar we'll delve into:

• Major startup players in the AR and VR market
• Investigate new enterprise and industrial use cases for AR/VR
• Patents being sought by large corporates like Microsoft, Apple, along with startups like Magic Leap
• Highlight how media companies and movie studios are reacting and driving M&A

Let’s say you randomly selected 1000 seed-stage startups based in the United States. How many of those would go on to raise a Series A? Of companies that go on to raise a Series A, how many would go on to raise a Series B? You could keep this process going until only

The startups in this infographic have raised nearly $1.5B to optimize grocery store operations with AI, virtual reality and more.

Seattle-based Amazon is doubling down on AWS and its AI assistant, Alexa. It's seeking to become the central provider for AI-as-a-service.

A look at the most promising global startups working with artificial intelligence.

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.