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Ralston R: The Forecast

The Forecast

An Inside Look at How Successful Leaders Drive Revenue Growth

Our physical world is grounded in three dimensions. To create technology that can reason about and interact with it, our data must be 3D too. This practical guide offers data scientists, engineers, and researchers a hands-on approach to working with 3D data using Python. From 3D reconstruction to 3D deep learning techniques, you'll learn how to extract valuable insights from massive datasets, including point clouds, voxels, 3D CAD models, meshes, images, and more. &gt; <ul> <li>Understand core concepts and representations of 3D data </li><li>Load, manipulate, analyze, and visualize 3D data using powerful Python libraries </li><li>Apply advanced AI algorithms for 3D pattern recognition (supervised and unsupervised) </li><li>Use 3D reconstruction techniques to generate 3D datasets </li><li>Implement automated 3D modeling and generative AI workflows </li><li>Explore practical applications in areas like computer vision/graphics, geospatial intelligence, scientific computing, robotics, and autonomous driving </li><li>Build accurate digital environments that spatial AI solutions can leverage </li></ul> Florent Poux is an esteemed authority in the field of 3D data science who teaches and conducts research for top European universities. He's also head professor at the 3D Geodata Academy and innovation director for French Tech 120 companies.

Building Accurate Digital Environments with 3D Point Cloud Workflows

3D Data Science with Python

To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively, thinking that because the cloud is resilient, their applications will be too. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs. Authors Kevin Schwarz, Jennifer Moran, and Dr. Nate Bachmeier from AWS teach you how to build cloud applications that demonstrate resilience with patterns like back off and retry, multi-Region failover, data protection, and circuit breaker with common configuration, tooling, and deployment scenarios. Labs are organized into categories based on complexity and topic, making it easy for you to focus on the most relevant parts of your business.

Design, Build, and Test for Resilience

Engineering Resilient Systems on AWS

The Complete Step-By-Step Guide to Managing Product Development Using Agile Framework

Scrum

How to Unlock Self-Serve Revenue and Dominate Your Market (With a Tiny Team)

The Product-Led Playbook

Data engineers proficient in Databricks are currently in high demand. As organizations gather more data than ever before, skilled data engineers on platforms like Databricks become critical to business success. The Databricks Data Engineer Associate certification is proof that you have a complete understanding of the Databricks platform and its capabilities, as well as the essential skills to effectively execute various data engineering tasks on the platform. In this comprehensive study guide, you will build a strong foundation in all topics covered on the certification exam, including the Databricks Lakehouse and its tools and benefits. You'll also learn to develop ETL pipelines in both batch and streaming modes. Moreover, you'll discover how to orchestrate data workflows and design dashboards while maintaining data governance. Finally, you'll dive into the finer points of exactly what's on the exam and learn to prepare for it with mock tests. Author Derar Alhussein teaches you not only the fundamental concepts but also provides hands-on exercises to reinforce your understanding. From setting up your Databricks workspace to deploying production pipelines, each chapter is carefully crafted to equip you with the skills needed to master the Databricks Platform. By the end of this book, you'll know everything you need to ace the Databricks Data Engineer Associate certification exam with flying colors, and start your career as a certified data engineer from Databricks! You'll learn how to: <ul> <li>Use the Databricks Platform and Delta Lake effectively </li><li>Perform advanced ETL tasks using Apache Spark SQL </li><li>Design multi-hop architecture to process data incrementally </li><li>Build production pipelines using Delta Live Tables and Databricks Jobs </li><li>Implement data governance using Databricks SQL and Unity Catalog </li></ul> Derar Alhussein is a senior data engineer with a master's degree in data mining. He has over a decade of hands-on experience in software and data projects, including large-scale projects on Databricks. He currently holds eight certifications from Databricks, showcasing his proficiency in the field. Derar is also an experienced instructor, with a proven track record of success in training thousands of data engineers, helping them to develop their skills and obtain professional certifications.

In-Depth Guidance and Practice

Databricks Certified Data Engineer Associate Study Guide

This book looks at the human and structural obstacles to transformation in the banking industry. It examines the change in habits, mindsets and leadership needed for the next stage of the digital journey. It argues that this change will be brought about, not by external heroes and saviours, but by today's banking professionals.

Dispatches from an Industry in Transition

Bankers Like Us

Redefining Information Security shows security and technology leaders how to build a security-driven culture that not only safeguards but actively propels businesses forward, enabling innovation and growth in the face of an evolving digital business and threat landscape. This book pioneers a transformative approach that shields organizations from risks but also actively leverages them to drive competitive advantages. Redefining Information Security addresses the technical aspects of cybersecurity in addition to the organizational culture, leadership, communication, education and human factors that make up the integral components of a successful security strategy. It offers a strong emphasis on practical implementation, providing actionable guidance and tools to apply proactive security strategies. Redefining Information Security offers insights on integrating security into technology roadmaps and leveraging it as a growth catalyst. It introduces innovative risk management strategies, allowing organizations to navigate uncertainties while maintaining a robust security posture. This guide presents a wealth of real-word examples that provide insights into how organizations at the forefront of security innovation integrate and embed security within their strategic vision and explores how security can evolve to meet the challenges of tomorrow's digital landscape.

How to Build a Security-Driven Organization

Redefining Information Security

A compelling story to expand the human's perspective on the new, unprecedented world of AI In Robot-Proof: When Machines Have All the Answers, Build Better People, Dr. Vivienne Ming, "a force in AI unlike any we have seen before" (Mark Minevich, Forbes), helps readers grasp the ugly and the amazing of how individuals, companies, and societies will respond to the changes that are already taking hold due to the advent of AI. Rather than a wonky textbook on machine learning or a utopian/dystopian (take your pick) screed, Robot-Proof is a book about people, exploring what it means to be human in an increasingly automated world. This book presents, then answers, pressing questions that readers may or may not have thought to themselves, such as: <ul> <li>What predicts long-term life outcomes across millions of little kids?</li> <li>What drives career success in both hyper-networked salespeople and hyper-nerdy programmers?</li> <li>Why is the Informational-Exploration Paradox the most terrifying phenomenon you've never heard of?</li> <li>What predicts the smartest team and how will AI change it?</li> <li>Why are ill-posed problems the future work, education, and a robot-proof humanity?</li> </ul> With poignant insight and delicate care to keep us grounded in the human perspective, Robot-Proof is an entertaining and thought-provoking read for all individuals seeking to understand the next steps in a new and completely unprecedented world.

When Machines Have All the Answers, Build Better People

Robot-Proof

Statistical Methods in the Atmospheric Sciences, Fifth Edition provides a structured exploration of the statistical techniques essential for analyzing atmospheric data. The book begins with foundational concepts in probability, setting the stage for more advanced topics. It then covers univariate statistics, including empirical distributions, parametric probability models, and both frequentist and Bayesian inference methods, offering tools for rigorous data analysis and interpretation. The text also addresses statistical forecasting and ensemble forecasting, along with methods for verifying forecast accuracy. In addition, time series analysis is explored in detail, enabling readers to understand temporal dependencies in atmospheric data. The book advances into multivariate statistics, presenting matrix algebra and random matrices as mathematical foundations. It discusses the multivariate normal distribution, principal component analysis (EOF), and multivariate analysis of vector pairs to handle complex, multidimensional atmospheric datasets. Techniques for discrimination, classification, and cluster analysis are also examined, providing methods for categorizing and interpreting atmospheric patterns. Supplementary materials include example data sets, probability tables, and a glossary of symbols and acronyms, along with answers to exercises that reinforce learning.

Statistical Methods in the Atmospheric Sciences

In just a few short years, AI has transformed software development, and snazzy new tools continue to arrive, with no let-up in sight. How, as a software engineer, product builder, or CTO, do you keep up? This practical book is the result of Sergio Pereira's mission to test every AI tool he could find and provide practitioners with much-needed guidance through the commotion. Generative AI for Software Development focuses on AI tool comparisons, practical workflows, and real-world case studies, with each chapter encompassing critical evaluations of the tools, their use cases, and their limitations. While product reviews are always relevant, the book goes further and delivers to readers a coherent framework for evaluating the tools and workflows of the future, which will continue to complicate the work of software development. <ul> <li>Learn how code generation and autocompletion assistants are reshaping the developer experience </li> <li>Discover a consistent method for rating code-generation tools based on real-world coding challenges</li> <li>Explore the GenAI tools transforming UI/UX design and frontend development</li> <li>Learn how AI is streamlining code reviews and bug detection</li> <li>Review tools that are simplifying software testing and QA</li> <li>Explore AI for documentation and technical writing </li> <li>Understand how modern LLMs have redefined what chatbots can do</li> </ul>

Building Software Faster and More Effectively

Generative AI for Software Development

While the hotel and short term rental sectors are growing, there is a technology divide between operators using technology strategically to run better operations and those that are not. Hospitality professionals need to understand their businesses' pain points to better invest in technology solutions and transform their businesses to be more profitable, and in some cases, more personal.
 
 Tech-enabled Hospitality looks at how the intersection of technology and personalized service can redefine the future of hospitality, including for large chains and small and medium-sized enterprises (SMEs) in the lodging sector. With its focus on practical applications of technology for enhancing both operational efficiency and guest experiences, this book is a valuable resource for those looking to modernize their hospitality business without losing the essence of personal touch. Through real-world examples and in-depth expert interviews from brands such as Stripe, SiteMinder and Rocco Forte, this book explores hospitality functions such as hotel management, operations, revenue management, sustainability, IoT, access control, guest communications, payment processing, guest experience, virtual concierge and AI tools. This book will help hospitality professionals better understand the hows and whys of implementing technology to run everyday aspects of a hospitality business while still leaving room, if desired, to provide a uniquely human experience that underpins true 'hospitality'.

Strategies to Elevate Guest Experience and Operational Efficiency

Tech-Enabled Hospitality

Earth Observation

Remote Sensing, Big Data, and GeoAI: Exploring Applications with Geospatial Insights is an in-depth analysis of the transformative power of AI and Big Data in remote sensing. This book provides readers with the knowledge and tools to utilize these technologies to enhance decision-making and analysis. Starting from fundamental concepts, it progresses to advanced applications, offering accessible explanations and real-world examples to bridge the gap between theory and practice. The book uses a structured format to balance theoretical knowledge with immersive case studies, giving readers a deeper understanding of practical implications. It also covers ethical and legal considerations, making it an invaluable resource for researchers, professionals, and students keen on using AI and Big Data techniques in remote sensing to solve complex geospatial challenges.

Exploring Applications with Geospatial Insights

Remote Sensing, Big Data, and GeoAI

The Forecast

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