WHY IT MATTERS: Digital Transformation

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.

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.

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.

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.

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

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.

Read GigaOm Radar for Cloud Observability, 2021 and discover how an observability solution can help you:
- Achieve higher application uptime
- Provide better user experiences
- Empower more productive engineering teams

Compare Grafana and New Relic on market position, pricing, and core strengths.

IT infrastructure monitoring (ITIM) tools help tackle these new challenges and offer visibility across hybrid infrastructures and emerging architectures. ITIM tools capture health and resource utilization of IT systems — providing real-time insight.
Use this Market Guide to:
- Learn why organizations need to adapt to hybrid, modular, dynamic and cloud-based environments.
- Learn how I&O leaders can best improve business outcomes.
Compare various IT infrastructure monitoring tool vendors.

An agile approach to overhauling data architecture improves speed, flexibility, and innovation.

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. 

Could Configure, Price, Quote (CPQ) software be the secret to bridging the gap between your customers’ escalating expectations and your current sales experience? Our definitive guide covers everything you need to know about CPQ. From core capabilities and benefits, to finding the right solution and implementing it.
- What CPQ is and how it’s evolved
- Common reasons for implementing CPQ
- Core CPQ capabilities
- Finding a future-proof CPQ solution
- CPQ benefits – for sales and the rest of your business
- Getting your CPQ implementation right.

The best protection against being hacked is well-informed developers. Make your development team into security experts today.

This frequently-updated page contains real-life examples and diagrams from Upsolver customers who are using AWS data lakes. While the Upsolver platform itself is a key component in all of these architectures, we hope even non-customers can learn from these examples when it comes to the use cases, considerations, and design patterns that go into a typical cloud data lake.

APM continues to be critical for modern, multicloud observability. Read the report where Gartner defines the market as "software that enables the observation of application behaviour and its infrastructure dependencies, users, and business key performance indicators (KPIs) throughout the application’s life cycle," and see why we’re positioned highest and furthest in both Completeness of Vision & Ability to Execute.

Hello, 2022! Following my wrap-up of martech from 2021 — tl;dr a year in digital marketing that was experienced like a Twitch stream at 1.5X speed — let's jump in to the martech topics I expect will shape 2022.

To succeed with data and analytics initiatives, enterprises need a comprehensive view of critical technology capabilities. We believe these Hype Cycles draw a holistic view of technologies — including the new addition of lakehouse architecture as a trigger, which can make data and analytics programs modern, broadly applied, richer in functionality and successful.

Get the report and gain insight into:
-Changes in this Hype Cycle — including the addition of Lakehouse
-The current state of data management maturity
-The Priority Matrix

Josh Evans talks about the chaotic and vibrant world of microservices at Netflix. He starts with the basics- the anatomy of a microservice, the challenges around distributed systems, and the benefits. Then he builds on that foundation exploring the cultural, architectural, and operational methods that lead to microservice mastery.

Successful companies are meeting this challenge by taking a “customer-back” perspective. Based on a clear understanding of the skills, behaviors, and mindsets the organization requires, these companies identify capability gaps and improvement opportunities across their workforce. Then, instead of offering “one size fits all” training, they design their capability programs based on detailed analysis of the needs of individual learners—while instilling a culture that fosters learning throughout the organization. That involves the application of a few powerful principles.

“Self-hosting” is a practice that pretty much describes itself: running your own internet services, typically on hardware you own and have at home. This contrasts with relying on products from large tech companies, which the user has no direct involvement in. A self-hoster controls it all, from the hardware used to the configuration of the software.

In this article, we’ll present seven of the key best practices you should adhere to when designing, implementing and operationalizing your data lake. These are things that will mostly be automatically implemented if you’re using Upsolver, but if you’re building your data lake ‘manually’ you’ll need to ensure they’re done correctly if you want to get the most value out of your data lake architecture.
While we will mostly be referring to Amazon S3 as the storage layer, these best practices would also apply for a data lake built on a different cloud or using Hadoop on-premise.