WHY IT MATTERS: Digital Transformation

Today, low barriers to entry have encouraged an explosion of DNBs, flooding the market with the fruits of creative entrepreneurship. However, DNBs that break through with outsize investor returns are rare. Over the past two decades, fewer than 0.5 percent of DNBs have reached $100 million in revenues. In fact, more than 90 percent of businesses that originated through e-commerce earn less than $1 million in annual revenues (Exhibit 1).4 Investors face the challenge of sifting through concepts to determine which are worthy of the capital required to scale a business or buy into an existing company at high multiples.

The 2022 edition of the Critical Capabilities for Analytics and Business Intelligence Platforms has the same 12 capabilities as the 2021 edition. However, the underlying questionnaire used to evaluate all 20 vendors was expanded, adding nine new subcriteria for a total of 79 questions.

Multisearch is an entirely new way to search with images and text at the same time.

There is almost no part of human biology that has remained untouched by digital measurement. HumanFirst, an organisation in San Francisco that maintains a catalogue of connected devices for remote patient monitoring, has identified 1,200 digital sensors that are tied to 8,000 physiological and behavioural measures.

The 2022 edition of the Marketplace 100 ranks the largest consumer-facing marketplace startups and analyzes the trends behind the next generation of marketplace giants.

This is the 8th year we're running The Stackies. It's an awards program that invites marketers to share a single slide illustrating their martech stack — the different apps and platforms they use and how they conceptualize them working together. I'd encourage you to participate (deadline for entries April 29). It's a fantastic way to contribute to our community's understanding of how martech fits into the function and flow of modern marketing. However, even if

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.

Recent trends show that consumers now demand much more than value and convenience--and tolerate fewer shortfalls.

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.

Even before congested ports and parts and labor shortages began to snarl supply chains in 2020, companies needed to update their supply-chain technology. They haven’t done themselves any favors by clinging to manual systems and antiquated software, including one widely used application that’s so old the provider will soon stop supporting it.

Secondhand, or recommerce, will grow at 11x the rate of regular retail. If that doesn’t smell like opportunity, I don’t know what does. We at Alpaca wanted to investigate the white space in the…

E-commerce companies worldwide hit records in funding, deals, exits, and more in 2021. 

In our State of E-Commerce 2021 Report, we dig into global investment trends to spotlight takeaways like:

• The data behind the record year in e-commerce funding, which surpassed $50B for the first time
• Which sectors led to a doubling in average deal size in 2021
• The region that raised nearly $4 of every $10 of e-commerce funding during the year
• The investors choosing the most advanced technologies with the most potential, according to CB Insights’ Mosaic scores
• Which digital shopping tech companies hit valuations of $1B, spurring a 40% increase in unicorn births
• And much more

A detailed study of machine intelligence in industrial and manufacturing operations reveals the surprisingly different paths companies can take. But a group of leaders shares similar characteristics.

TrackStreet is a MAP, UPP, Authorized Dealer, and Resale Policy platform, which enables you to clean your sales channels and drive growth online and off.
TrackStreet leverages artificial intelligence and automation technologies to relentlessly monitor and reduce brand, MAP, and resale pricing violations, enabling explosive multi-channel growth for many of the most recognizable and respected brands across a wide gamut of industries.

As customer and business demands accelerate, site reliability engineers, ITOps teams, developers and management need operational visibility into their entire architecture. But complex modern infrastructure and applications make answering questions about what happened, who was affected and how it can be fixed more difficult than ever. Observability systems enable you to inspect and understand your application stack — but what is observability, and how does it differ from simple monitoring?

- The complementary relationship between observability and monitoring
- The three critical pillars to achieve observability 
- How to build observability into your application environment 
- How observability helps you tame complexity and reduce MTTR

The core idea behind data lineage is the ability to fully understand how data flows from one place to another within the infrastructure that was built to house and process it. It seems like it should not be a difficult problem, but it is. In fact, it is a huge issue for organizations as they face 2022 and beyond. If organizations do not know where their data comes from or goes, they have uncontrolled environments that have risk on many different levels. Having uncontrolled data environments means that it is also very difficult to extract value from data, and data is the new oil or new gold. Organizations that cannot extract value from data stand a good chance of being outcompeted and replaced by organizations that can.

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.

Age-gating, subtitles, chapters, and recommendations - find out how YouTube's use of AI shapes users' experience and creator's success. In this article, we’ll be taking a closer look at how exactly YouTube harnesses AI, and how this influences the user experience of both viewers and content creators. 

Sometimes you need inspiration to craft great OKRs. Gtmhub gives you easy-to-follow OKR examples for different roles and teams.

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.

Feeling unprepared for technical disruption? A well-structured role for a chief technology officer is a first line of defense.

From consideration to checkout, learn how New Relic can help you optimize performance across all your digital channels

We surveyed hundreds of DevOps practitioners about their monitoring and observability challenges for delivering modern cloud applications. We summarized our findings in the State of Observability 2021 report.

APM tools have become powerful analytics platforms that ingest, analyze and build context from traces, metrics and logs. Infrastructure and operations leaders choosing APM software must weigh these functions against core APM capabilities and the automation being provided by new and existing vendors.