The AI Revolution in Project Management (eBook)
152 Seiten
tredition (Verlag)
978-3-384-14900-8 (ISBN)
Introduction
Introduction to Artificial Intelligence
Definition of AI
For the past few years, the concept of artificial intelligence, also known as AI for short, has been receiving an increasing amount of attention. But what exactly does it mean in its most basic form? In light of the fact that artificial intelligence is a vast and ever-evolving field, it can be difficult to provide a definition that is both clear and concise. Nevertheless, there are a few general points of agreement that contribute to the definition of artificial intelligence.
In a broad sense, artificial intelligence can be defined as the subfield of computer science that focuses on the development of software and hardware that can demonstrate intelligent behaviors. It is common practice to define artificial intelligence (AI) as a system or machine that is capable of imitating human-like capabilities, including learning, understanding, problem solving, perceiving, and even emotions.
A definition of artificial intelligence (AI) provided by the American Association for Artificial Intelligence (AAAI) describes it as "the scientific understanding of the mechanisms that produce intelligent behavior and their embedding in machines." This is where the idea of "intelligence" comes into play as a central component. In the context of humans, intelligence is defined as the capacity to acquire knowledge through experience, modify one's behavior in response to novel circumstances, comprehend and resolve issues, and react appropriately to the surrounding environment.
Another common definition of artificial intelligence comes from computer scientist and AI pioneer Marvin Minsky, who asserts that "artificial intelligence is the science and technology of making machines intelligent." This definition is frequently cited in scientific circles. According to this definition, the objective of artificial intelligence is to achieve or emulate human-like intelligence in machines.
It is essential to keep in mind that there are numerous varieties of artificial intelligence. Strong AI and weak AI, also known as narrow AI, are the two primary types (or general AI). The capabilities of weak artificial intelligence systems are limited to specific tasks, and they are able to carry them out without any real understanding or awareness. The term "strong artificial intelligence" (AI) refers to computer systems that possess human-like understanding and consciousness and are theoretically capable of performing any intellectual task that a human being is capable of.
In conclusion, it is essential to place an emphasis on the role that learning plays in artificial intelligence. Several contemporary artificial intelligence systems, particularly those that are founded on machine learning techniques, are intended to acquire knowledge from data and improve over time. This is an essential component of artificial intelligence, which sets it apart from a wide variety of other kinds of software and machines.
In the following introduction, we will take a more in-depth look at the development and application of artificial intelligence (AI), including its history, the broad range of technologies that are included under the umbrella of AI, and the numerous ways in which AI is being utilized in a variety of fields, particularly in the industry of project management.
Brief history of the KI
The fascinating history of artificial intelligence (AI) is something that should be looked into if one wishes to have a complete understanding of the impact and potential of AI. Tens of years of research and development have resulted in the current state of artificial intelligence (AI). The origins of this phenomenon can be traced back to theoretical concepts, and it has developed into a technological force that has an impact on a wide range of work and life aspects.
Ancient Greece is where philosophers such as Aristotle developed logic systems that would later serve as the foundation for the development of computer programming and artificial intelligence. These logic systems can be traced back to the origins of artificial intelligence. However, the twentieth century and the invention of the first digital computer are more likely to be considered the beginning of artificial intelligence in the modern era.
In the 1950s, the first phase of artificial intelligence research, which is commonly referred to as the "Golden Age" of AI, began. At the Dartmouth Conference in 1956, a group of scientists, including Allen Newell, Herbert Simon, John McCarthy, and Marvin Minsky, came up with the term "artificial intelligence" and formalized research in the field. This event laid the groundwork for the field of artificial intelligence.
The 1960s and 1970s saw significant advancements in artificial intelligence, including the creation of the first artificial intelligence languages (LISP and Prolog) and the conception of ELIZA, one of the first AI chatbots, by Joseph Weizenbaum at the Massachusetts Institute of Technology (MIT). There were significant challenges to the development of artificial intelligence (AI) despite these advancements. These challenges included the limitations of computer hardware at the time as well as the complexity of the "real world."
The introduction of expert systems that were founded on heuristic rules in the 1980s sparked yet another wave of optimism in the field of artificial intelligence. Utilized in fields such as medicine and mining, these systems were able to make decisions in their respective areas of expertise that were comparable to those made by humans. On the other hand, their scope was restricted, and they required a substantial amount of resources to develop and maintain.
During the 1990s, there was a transition from rule-based systems to approaches that were driven by data. This new era of machine learning began with the widespread adoption of the Internet and the subsequent rise in the amount of data that was accessible. In order to recognize patterns in data and to make predictions or decisions based on those patterns, machines were trained to recognize said patterns.
The field of artificial intelligence (AI) research and applications has made tremendous strides in the 21st century. The development of Deep Learning, a subfield of machine learning that is founded on artificial neural networks, has resulted in significant advancements in a variety of domains, including speech recognition, image processing, and natural language processing, among others. The power of artificial intelligence has been demonstrated by significant developments such as Google's AlphaGo, which was able to defeat the human champion in the game of Go, and through the use of advanced translation systems such as Google Translate.
There are numerous applications of artificial intelligence (AI) that are currently present in our lives. These applications range from personalized recommendations on our smartphones and streaming platforms to automated vehicles and advanced healthcare systems. There has been a long and eventful history of artificial intelligence, beginning with theoretical beginnings and experiencing repeated ups and downs, all the way up to the groundbreaking achievements that we see today.
Research into artificial intelligence (AI) continues to be a dynamic and ever-evolving field. It is still looking for the Holy Grail of "General AI," which is AI that is capable of performing any intellectual task that a human can. It is indisputable that artificial intelligence is already a transformative force and has the potential to transform our future in profound ways, despite the fact that we are still a long way from accomplishing this objective.
Potential future of artificial intelligence
The trajectory of artificial intelligence (AI) can be described as both fascinating and uncertain in many respects. However, there is one thing that is certain: the effects that it will have on the economy, society, and our individual lives will be significant and far-reaching.
It is anticipated that artificial intelligence will play a transformative role in the field of automation. Manufacturing, transportation, and customer service are just some of the areas that are already experiencing an increase in the amount of tasks that are being automated. It is possible that in the future, artificial intelligence will be able to automate not only mundane, repetitive tasks, but also more complex, creative, or strategic tasks. There is a possibility that this will result in a significant change in the working world, along with all of the opportunities and difficulties that come along with it.
We also anticipate that AI will play a significant part in the fields of science and research. It is becoming increasingly difficult for artificial intelligence models to recognize patterns in large amounts of data and to make complex predictions. It is possible that this will result in significant advancements in fields such as the study of climate, medical diagnostics, and materials science.
It is possible that the development of artificial intelligence and machine learning will bring about significant changes in the field of medicine. It is already possible for AI systems to assist in the detection of patterns in medical images, the identification of genetic changes that can lead to disease, and the development of treatment plans for conditions that are complex. Artificial intelligence systems may one day be able to diagnose patients with even greater precision and speed, optimize treatment options, and assist medical professionals in making more informed decisions.
Intelligent systems have the potential to assist in resolving some of the most pressing issues facing humanity. One example of how...
| Erscheint lt. Verlag | 18.2.2024 |
|---|---|
| Verlagsort | Ahrensburg |
| Sprache | englisch |
| Themenwelt | Sachbuch/Ratgeber ► Beruf / Finanzen / Recht / Wirtschaft ► Bewerbung / Karriere |
| Wirtschaft ► Betriebswirtschaft / Management ► Projektmanagement | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | agile project management • AI • Artificial Intelligence • ChatGPT • Peoject Lead • program management • Project • Projectmanagement • Project Management • project success • SAFE • Scrum |
| ISBN-10 | 3-384-14900-9 / 3384149009 |
| ISBN-13 | 978-3-384-14900-8 / 9783384149008 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
EPUB (Wasserzeichen)DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: EPUB (Electronic Publication)
EPUB ist ein offener Standard für eBooks und eignet sich besonders zur Darstellung von Belletristik und Sachbüchern. Der Fließtext wird dynamisch an die Display- und Schriftgröße angepasst. Auch für mobile Lesegeräte ist EPUB daher gut geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür die kostenlose Software Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür eine kostenlose App.
Geräteliste und zusätzliche Hinweise
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
