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2021 | Buch

The AI Landscape Kapitel lesen Erstes Kapitel lesen

Implementing AI Systems

Transform Your Business in 6 Steps

verfasst von: Tom Taulli

Verlag: Apress

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

AI is one of the fastest growing corners of the tech world. But there remains one big problem: many AI projects fail. The fact is that AI is unique among IT projects. The technology requires a different mindset, in terms of understanding probabilities, data structures and complex algorithms. There is also a need to deal with complex issues like ethics and privacy.
This is where Implementing AI Systems comes in. You'll learn the step-by-step process for successful implementations of AI, backed up with numerous case studies from top companies. This book puts everything you need to know into one place – that is, it’s the handbook you need for AI. You’ll focus primarily on understanding the core concepts for AI like NLP, Machine Learning, Deep Learning and so on.
This book will help you find the right areas to apply AI.
What You’ll Learn
Put together an effective data strategy
Create models and how to successfully test themEvaluate AI toolsAssemble the right teamScale AI across an organization
Who This Book Is For
Primarily for managers, IT professionals and executives of mid-size and large companies wanting to implement AI in their organization.

Inhaltsverzeichnis

Frontmatter
Chapter 1. The AI Landscape
Pros and cons of the technology
Abstract
In mid-January 2020, Nike announced that it hired John Donahoe for the CEO post. He already had a good understanding of the company because of his role on the board of directors for five years. But it’s important to note that Donahoe’s prior experience was in the tech industry, as CEO at companies like eBay, PayPal, and ServiceNow.
Tom Taulli
Chapter 2. AI Foundations
What can the technology really do?
Abstract
The pace of innovation with AI is stunning. Take a look at a study at Northwestern Medicine, which involved a collaboration with Google AI. The project used over 42,000 CT lung scans from more than 14,000 patients to train an AI model (the process only took about ten minutes). The bottom line: The model did better than a radiologist when detecting cancer and there was a 11% reduction in false positives.
Tom Taulli
Chapter 3. Identify the Problem to Be Solved
Where do you start with your AI project?
Abstract
Ken Xie, who was born in China, is one of the most successful entrepreneurs in Silicon Valley. His focus has been on transforming cybersecurity technology, such as by developing the first ASIC-based firewall and VPM appliance in the 1990s.
Tom Taulli
Chapter 4. The Team
The main roles for your AI project
Abstract
The recruitment of AI talent can be a high-stakes game. In some cases, a company may be willing to offer multi-million dollar packages along with significant equity options.
Tom Taulli
Chapter 5. Data Preparation
The fuel for AI
Abstract
In late 2015, IBM announced the acquisition of the Weather Company—the weather data, forecast information, website, app, and various intellectual property. The price tag was over an estimated $2 billion.
Tom Taulli
Chapter 6. Creating the Model
Where the AI magic happens
Abstract
The Rubik’s Cube, which is the 3-D puzzle that stirred up a craze during the 1980s, continues to challenge many people. But data scientists at OpenAI saw it as an interesting game to learn more about AI. In October 2019, the company announced it created a model that used a robotic hand to solve the Rubik’s Cube. You can find the video on YouTube (https://bit.ly/3f5fuy4).
Tom Taulli
Chapter 7. Deployment and Monitoring
It’s showtime!
Abstract
In the summer of 2019, Apple launched its credit card, which involved a partnership with Goldman Sachs. It was designed to emphasize simplicity, privacy, and security (the card did not have a number, CVV security code, expiration date, or signature line). There were also no fees, the interest rates were competitive, and there was a good reward program.
Tom Taulli
Chapter 8. Responsible AI
Ethics and transparency
Abstract
In June 2020, IBM announced it would no longer offer facial recognition software. This came from CEO Arvind Krishna’s letter to Congress. In it, he talked about how IBM had a long history of supporting civil rights, such as in terms of diversity with hiring and refusing to support Jim Crow laws.
Tom Taulli
Chapter 9. Future of AI
Expect the growth to continue for the long-term.
Abstract
A well-known optimist on AI is Ray Kurzweil. He is an inventor, such as of innovations in OCR (optical character recognition) and NLP (natural language processing). He has also written various books on topics like futurism and healthcare. Since 2012, Kurzweil has served as a director of engineering at Google.
Tom Taulli
Backmatter
Metadaten
Titel
Implementing AI Systems
verfasst von
Tom Taulli
Copyright-Jahr
2021
Verlag
Apress
Electronic ISBN
978-1-4842-6385-3
Print ISBN
978-1-4842-6384-6
DOI
https://doi.org/10.1007/978-1-4842-6385-3

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