Data Science Theory

Leaders already know that the classic approach to strategy - analyze, plan, execute - is losing relevance. But they don't yet know what replaces it. As everyone and everything becomes more interconnected and digitized, how do you operate, compete, and win? Ming Zeng, the former chief of staff and strategy adviser to Alibaba Group's founder, Jack Ma, explains how the latest technological developments, such as artificial intelligence, machine learning, the mobile internet, and cloud computing, are redefining how value is created.

As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the data on the Web to pull out instances of the words you are looking for. And there are pages that collect and assess information to give you a snapshot of changing political opinion.

"The AI Awakening: A New Era of Data Discovery and Growth" by Dr. Mozhgan Tavakolifard explores the transformative potential of artificial intelligence in business and personal growth. Bridging cutting-edge technology with human-centric values, it offers a unique perspective on leveraging AI for innovation, sustainable growth, and human potential enhancement.

Analytics of Life provides the listener with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses.

In modern history, the story of capitalism has been a story of firms and financiers. That's all going to change thanks to the Big Data revolution. As Viktor Mayer-Schönberger, best-selling author of Big Data, and Thomas Ramge, who writes for The Economist, show, data is replacing money as the driver of market behavior. Big finance and big companies will be replaced by small groups and individual actors who make markets instead of making things: think Uber instead of Ford, or Airbnb instead of Hyatt. Will this be an age of prosperity or of calamity?

Search is as old as language. There has always been a need for one to find something in the jumble of human creation. The first web was nothing more than passing verbal histories down the generations so others could find and remember how not to get eaten; the first search used the power of written language to build simple indexes in printed books, leading to the Dewey Decimal system and reverse indices in more modern times. Then digital happened.

What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.

Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves. The way toward learning starts with perceptions or data - for example, models, direct understanding, or guidance, so as to search for designs in data and settle on better choices later, depending on the models that we give.

In today's rapidly evolving business landscape, harnessing the true power of Artificial Intelligence has become essential for staying competitive and making informed decisions. This comprehensive guide, tailored for beginners, empowers you to unlock AI's immense potential to revolutionize your business.

If you are an active user of statistics to examine trends in your business, then using machine learning is your next best step. It uses advanced predictive algorithms of different aspects of your business to help you make the best possible decision. If you are new to business or thinking about starting a new business, this will also help you lay the groundwork and get ahead of others who are at your same level. It is a fascinating listen recommended for everyone, as it also looks at how machine learning and AI can impact society as a whole.

Since the public release of Open AI’s ChatGPT, Google’s Bard, and other similar systems, some Members of Congress have expressed interest in the risks associated with “generative artificial intelligence (AI).” Although exact definitions vary, generative AI is a type of AI that can generate new content—such as text, images, and videos—through learning patterns from pre-existing data.

If you've been following the news, you probably know that artificial intelligence is taking over. Self-driving trucks, face recognition, machines, and automatic cashiers are becoming the replacement for regular human beings. If you want to learn more about artificial intelligence, where it comes from, how some of it works, and what the future might look like, this audiobook is for you.