Business Computer Science

List the hottest buzzwords in business today and "analytics" is bound to come out near the top. But to most people, analytics implies complex tools and technical experts manipulating massive amounts and varieties of information (i.e.,"Big Data"). But complex Big Data analytics isn't the only game in town. And many people don't realize that a business doesn't need data scientists and complex tools to derive useful information and valuable benefits from any amount of raw data.

What if search engines no longer needed users to click on links to find the answers they seek? As AI-powered search engines evolve, traditional SEO strategies are no longer enough to stay visible in an increasingly competitive digital landscape. Answer Engine Optimization (AEO) is the future of search, designed to help businesses, content creators, and marketers adapt to AI-driven search engines like Google SGE, ChatGPT, Perplexity, and Bing Chat.

Few organizations solve as many impossible problems as NASA's Jet Propulsion Laboratory, and nobody knows more about leading rocket scientists to unlikely breakthroughs than Adam Steltzner. As the phase lead and development manager for EDL (entry, descent, and landing) of the Curiosity rover to Mars, Steltzner spearheaded the creation of one of engineering's wackiest kluges - the sky crane, which allowed the heaviest rover in the history of space exploration to land on Mars unscathed.

Unlock the Future: The Complete AI Advantage CollectionAre you ready to harness the transformative power of Artificial Intelligence (AI) to stay ahead in a rapidly evolving world? The Complete AI Advantage Collection combines three essential guides—The Essential Beginner’s Guide to AI, The AI in Business Advantage, and Master ChatGPT Effortlessly—to give you the tools, strategies, and confidence to navigate and thrive in the age of AI.

Albert-Laszlo Barabasi traces the fascinating history of connected systems. Understanding the structure and behavior of networks will forever alter our world, allowing us to design the "perfect" business or stop a disease outbreak before it goes global.

In a world of digital overload and never-ending work demands, Microsoft Copilot stands as a breakthrough in productivity. What once took hours—summarizing reports, formatting presentations, calculating forecasts—can now be done in minutes with precision and personalization. This book is a guide for professionals ready to integrate AI into their daily work, not as a novelty, but as a core tool for speed, clarity, and strategic thinking.

Master the Art of Smart Choices with Decision Making: An AI’s Guide to 100 Strategies for Choosing Wisely When Human Instinct Fails. This audiobook breaks down complex thinking tools into simple, actionable strategies, helping you make better decisions in every part of life.

AI Side Hustles 2025 by VentureNest Books is a practical guide for individuals looking to harness the power of artificial intelligence to create profitable side businesses. As technology advances swiftly toward 2025, the book encourages listeners to move beyond the constraints of traditional employment and explore new financial opportunities using AI.

Are you ready to tap into the power of Artificial Intelligence and start earning money? Make Money with AI is the ultimate step-by-step guide that shows you how to leverage cutting-edge AI technologies to boost your income and transform your financial future. Whether you’re a beginner or have some experience with AI, this book takes you through simple, actionable strategies that anyone can follow.

AI-Powered Customer Experience, The Future of Call Center Excellence. Future belongs to organizations that understand how to measure what matters: customer lifetime value, emotional satisfaction, effort reduction, and the seamless orchestration of human and artificial intelligence working together. Thirty years ago, when I first stepped into a call center, success was measured by how many calls an agent could handle per hour. The faster you moved customers along, the better your numbers looked.

Generative AI is our future, and with this action-filled guidebook, you can lift your organization to the next level.

This book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging work.

In Fusion Strategy, world-renowned innovation guru Vijay Govindarajan and digital strategy expert Venkat Venkataraman offer a first-of-its-kind playbook that will help industrial companies combine what they do best-create physical products-with what digitals do best-use algorithms and AI to parse expansive, interconnected datasets-to make strategic connections that would otherwise be impossible.

In December 2009, Google began customizing its search results for each user. Instead of giving you the most broadly popular result, Google now tries to predict what you are most likely to click on. According to MoveOn.org board president Eli Pariser, Google's change in policy is symptomatic of the most significant shift to take place on the Web in recent years: the rise of personalization.

Your organization has made the decision to adopt automation and artificial intelligence technologies. Now, you face difficult and stubborn questions about how to implement that decision: How, when, and where should we apply automation in our organization? Is it a stark choice between humans versus machines? How do we stay on top of these technological trends as work and automation continue to evolve? Work and human capital experts Ravin Jesuthasan and John Boudreau present leaders with a new set of tools to answer these daunting questions.

AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML) - twin technologies that stand poised to revolutionize the way we sell. This book helps you lean into the curve and take advantage of AI's unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the "what" to reveal the "how".

Today, organizations are grappling with ambiguity, volatility, and paradox surrounding the challenges they face. This is complexity. But too many leaders approach complexity the wrong way - they push their people harder and harder and tackle problems one at a time over months, sometimes even years and nearly always in a linear fashion. It’s like setting a pot of water on “low” and waiting for it to boil. In this book, the authors share their proven formula for dramatically shortening the process and solving an organization’s toughest challenges in mere days.

Data science has a huge impact on how companies conduct business, and those who don't learn about this revolutionary field could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers. In this guidebook, you will discover more about data science and how to get started in this field.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Most organizations view data monetization—converting data into money—too narrowly: as merely selling data sets. But data monetization is a core business activity for both commercial and noncommercial organizations, and, within organizations, it’s critical to have wide-ranging support for this pursuit. In Data Is Everybody’s Business, the authors offer a clear and engaging way for people across the entire organization to understand data monetization and make it happen.