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Report link - The Future of Security
With the sheer volume of cyberthreats and the rise of ransomware, firms must quickly adjust to new attacks and completely different recovery processes. This report covers four of the most important trends in security to help you prepare for emerging threats—and deploy the technological solutions that can prevent them. And you can get it free today, our gift to you.
Report link - Future of the Firm
In this free report, Josh Bersin, Tim O’Reilly, Roger Magoulas, and Mike Loukides take a look at what’s next and how business leaders can get ready for it. You’ll learn how the shift to AI and machine learning is changing almost every job, how employee values are shifting to prioritize flexibility and satisfaction over money and security, and much more.
Report link - Getting DataOps Right
Andy Palmer, Michael Stonebraker, Nik Bates-Haus, Liam Cleary, and Mark Marinelli from Tamr use real-world examples to explain how DataOps works. DataOps is as much about changing people’s relationship to data as it is about technology, infrastructure, and process. This report provides an organizational approach to implementing this discipline in your company—including various behavioral, process, and technology changes.
Report name - Getting Started with Bazel
Author Benjamin Muschko uses concrete Java-based examples to give you a first taste of Bazel’s syntax and functionality. The report also covers advanced features like remote caching and execution. You’ll be able to determine hands-on if Bazel is a good fit for your organization and come away with the knowledge and resources to start using this versatile, polyglot build tool for your project.
Report link - How Companies Are Putting AI to Work Through Deep Learning
We conducted this survey to help leaders better understand how organizations are applying AI through deep learning and where they’re encountering the biggest obstacles.
Report link - Investing in Employees
Curating learning for an entire organization can be daunting. Your workforce needs to continually learn topics specific to their career, skill level, and the technologies they are required to use. In Investing in Employees: Training and Educating Staff with Outstanding Results, industry experts share their experiences and advice to help you successfully implement and scale training across your organization.
Report link - Machine Learning at Enterprise Scale
Enterprises in traditional and emerging industries alike are increasingly turning to machine learning (ML) to maximize the value of their business data. But many of these teams are likely to experience significant hurdles and setbacks throughout the journey. In this practical ebook, data scientists and machine learning engineers explore six common challenges that teams face every day when creating, managing, and scaling ML applications.
Report link - Rebuilding Reliable Data Pipelines Through Modern Tools
When today’s complex data-driven applications fail, identifying the cause is challenging and time-consuming. In this short ebook, Capital One director of engineering Ted Malaska examines DataOps processes and tools that enable you to better manage modern data pipelines—whether they’re in the cloud, on-prem, or in a hybrid configuration. And the best part? It’s free, our gift to you.
Book link - Excel Cookbook
Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast.
Book link - Python for Data Analysis, 3E
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Book link - Implementing MLOps in the Enterprise
Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs.
Book link - Practical MLOps
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.
Book link - Developing on AWS with C#
Authors Noah Gift, founder of Pragmatic AI Labs, and James Charlesworth, engineering manager at Pendo, take you through the depth and breadth of .NET tools on AWS. You'll examine modernization techniques and pathways for incorporating Linux and Windows containers and serverless architecture to build, maintain, and scale modern .NET apps on AWS. With this book, you'll learn how to make your applications more modern, resilient, and cost-effective.
Course link - Linux for Beginners
This early release (ongoing) course will give you a foundational knowledge to quickly get started with Linux. You will learn practical examples packaged in easy-to-follow videos that give you just enough knowledge to use Linux.
Course link - Introduction to MLflow for MLOps
Learn how to use MLflow for managing the machine learning lifecycle. Track experiments, package models, and deploy to production.
Video link - 52 Weeks of AWS-The Complete Series
Become an AWS virtuoso with this comprehensive 52-week video series, designed to walk you through all pivotal AWS Certifications—from the AWS Certified Developer Associate to the AWS Certified Solutions Architect.
Video link - Responsible Generative AI and Local LLMs
This video series covers mastering the theory of Generative AI and using local LLMs like Mistral, llamafile, Candle, and Lorax.
Report link - Multicloud Architecture Migration and Security
Cybersecurity experts Laurent Gil and Allan Liska show you how to orchestrate and manage multicloud environments, including edge technologies designed to secure and protect your environment. Managers and leaders will learn methods for distributing workloads across cloud providers as well as ways to avoid potential pitfalls when pursuing this strategy. This ebook is yours to download—completely free.
Report link - Product Management for AI
This insightful report will help you anticipate and solve the problems you face as you develop an AI project and shepherd it into production.
Report link - Protecting Your Web Applications
Download this practical ebook, free, to get an overview of today’s major threat patterns and the strategies and techniques you need to prevent and protect against a host of attacks.
Report link - Software Architecture Patterns, 2nd edition
The success of any application or system depends on the architecture pattern you use. This report examines common software architecture patterns, explaining how each works, the pattern’s benefits and considerations, and the circumstances and conditions it was designed to address. If you’d like a quick guide to choosing the right pattern for your project, Software Architecture Patterns is extremely useful. And it’s free today.
Report link - The Value of AI‑Powered Business Intelligence
To stay competitive, you need to know how to use AI strategically. The Value of AI-Powered Business Intelligence explains how AI-infused business intelligence can help your business users discover actionable, easy-to-understand insights independently from IT—even while remaining within the organization’s secure and governed IT architecture. Oh, and did we mention it’s free?
Report link - What Are ChatGPT and Its Friends?
If you want to understand the possibilities that ChatGPT (and similar models) offer your organization, it’s important to move past the hype. Large language models like GPT-3 and GPT-4 represent one of the biggest technological leaps we’ve seen in our lifetime.
Report link - What Are Miniservices?
Miniservices provide a valuable middle ground between monoliths and microservices. As Nicholas Keune explains in this report, miniservices are suited for application landscapes involving data-intensive workloads that span monoliths and microservices or cross the traditional boundaries of a service context. Drawn from the work of many development teams, the report gives a model and language to data-centric system attributes so that they can be considered more proactively in the design discussion.