Book description
Your company has committed to AI. Congratulations, now what? This practical book offers a holistic plan for implementing AI from the perspective of IT and IT operations in the enterprise. You will learn about AI’s capabilities, potential, limitations, and challenges. This book teaches you about the role of AI in the context of well-established areas, such as design thinking and DevOps, governance and change management, blockchain, and quantum computing, and discusses the convergence of AI in these key areas of the enterprise.- Understand the most important AI concepts, including machine learning and deep learning
- Follow best practices and methods to successfully deploy and operationalize AI solutions
- Identify critical components of AI information architecture and the importance of having a plan
- Integrate AI into existing initiatives within an organization
- Recognize current limitations of AI, and how this could impact your business
- Build awareness about important and timely AI research
- Adjust your mindset to consider AI from a holistic standpoint
- Get acquainted with AI opportunities that exist in various industries
Product information
- Title: Deploying AI in the Enterprise: IT Approaches for Design, DevOps, Governance, Change Management, Blockchain, and Quantum Computing
- Author(s):
- Release date: September 2020
- Publisher(s): Apress
- ISBN: 9781484262061
You might also like
book
Mastering Blockchain
The future will be increasingly distributed. As the publicity surrounding Bitcoin and blockchain has shown, distributed …
book
Grow Your Business with AI: A First Principles Approach for Scaling Artificial Intelligence in the Enterprise
Leverage the power of Artificial Intelligence (AI) to drive the growth and success of your organization. …
book
Enterprise API Management
A strategy and implementation guide for building, deploying, and managing APIs Key Features Comprehensive, end-to-end guide …
book
Hands-On Artificial Intelligence for Banking
Delve into the world of real-world financial applications using deep learning, artificial intelligence, and production-grade data …