| Document Type
|
:
|
BL
|
| Record Number
|
:
|
851350
|
| Main Entry
|
:
|
Ashri, Ronald.
|
| Title & Author
|
:
|
The AI-powered workplace : : How artificial intelligence, data, and messaging platforms are defining the future of work /\ Ronald Ashri.
|
| Publication Statement
|
:
|
Berkeley, CA :: Apress L.P.,, ©2020.
|
| Page. NO
|
:
|
1 online resource (178 pages)
|
| ISBN
|
:
|
1484254767
|
|
|
:
|
: 1484254775
|
|
|
:
|
: 9781484254769
|
|
|
:
|
: 9781484254776
|
|
|
:
|
1484254759
|
|
|
:
|
9781484254752
|
| Notes
|
:
|
Automated Helpdesk
|
| Contents
|
:
|
Intro -- Contents -- About the Author -- Acknowledgments -- Introduction -- Part I: Understanding AI -- Chapter 1: The Search for Thinking Machines -- The Birth of a New Field of Study -- A Practical Application -- AI Goes into Hiding -- The New Eternal Spring -- Flooded in Data -- Raw Processing Power and Better Algorithms -- The Democratization of AI -- Moving Forward -- Chapter 2: What Is AI? -- AI's Disappearing Act -- General AI vs. Domain-Specific AI -- An Agent-Based View of AI -- Agents -- Active Agents -- Self-Directed Agents -- Autonomous Agents -- Agents That Learn
|
|
|
:
|
Agent Communities -- Moving Beyond Intelligence -- Chapter 3: Building AI-Powered Applications -- What AI Needs -- Model-Driven and Data-Driven AI -- Model-Driven AI -- Data-Driven AI -- Standing on the Shoulders of Data -- Give Me Enough Data and the Right Algorithm and I Will Move the World -- Techniques, Capabilities, and Applications -- Experts and Machines Working Together -- Chapter 4: Core AI Techniques -- Model-Driven Techniques -- Knowledge Representation -- Logic -- Planning -- Data-Driven Techniques -- Supervised Learning -- Gathering and Preparing Data
|
|
|
:
|
Choosing a Machine Learning Algorithm, Training, and Fine-Tuning -- Predicting -- Unsupervised Learning -- Reinforcement Learning -- Deep Learning and Artificial Neural Networks -- From Techniques to Capabilities -- Chapter 5: Core AI Capabilities -- Language -- Speech Recognition -- Natural Language Processing -- Analysis and Entity Extraction -- Classification -- Intent Extraction -- Translation -- Natural Language Generation -- Vision -- Custom Capabilities -- From Capabilities to Applications -- Part II: The Applications of AI in the Workplace -- Chapter 6: The Digital Workplace
|
|
|
:
|
Integrations -- Custom Conversational Platforms -- Your Organizational OS -- Chapter 9: Conversational Applications -- From Chatbots to Conversational Applications -- Structure of Conversational Applications -- Planning for Conversational Applications -- Capabilities -- Interaction Style -- Context -- Platforms -- Analytics and Improvement -- Where to Use Conversational Applications -- Intelligent Notifications -- Basic Notifications -- Active Notifications -- Team Notifications -- Monitoring Key Data -- Connected Data -- Contextual Data -- Explainable Data -- Support and Collaboration
|
|
|
:
|
What Is the Digital Workplace? -- Understanding Your Digital Workspace -- People and Teams -- Exploring People Data -- Processes -- Mapping Processes -- Tools -- Demystifying Tooling -- The Next Destination -- Chapter 7: AI Is the New UI -- Moving beyond "point and click" -- Conversational Interfaces -- Voice -- Text -- Augmented Reality and Virtual Reality -- Better User Experiences Are a Competitive Advantage -- Chapter 8: Conversational Collaboration Platforms -- Conversational Collaboration Platforms -- Core Features -- People -- Presence -- Conversations -- Document Exchange -- Search
|
| Abstract
|
:
|
We are entering the next wave of digital transformation. Artificial intelligence has an ever-increasing significance in our daily lives, and there is no difference when it comes to our workplaces. It is up to you to choose how to utilize these new tools to sharpen your organization's competitive advantage, improve your team's well-being, and help your business thrive. In The AI-Powered Workplace, author Ronald Ashri provides a map of the digital landscape to guide you on this timely journey. You'll understand how the combination of AI, data, and conversational collaboration platforms-such as Slack, Microsoft Teams, and Facebook Workplace-is leading us to a radical shift in how we communicate and solve problems in the modern workplace. Our ability to automate decision-making processes through the application of AI techniques and through modern collaboration tools is a game-changer. Ashri skillfully presents his industry expertise and captivating insights so you have a thorough understanding of how to best combine these technologies with execution strategies that are optimized to your specific needs. The AI-Powered Workplace is an essential technical, cultural, and business handbook that arms you with clear steps to redefine and improve how you get work done. Software is now a proactive workplace partner revolutionizing all aspects of our professional lives from how we collaborate in the digital sphere to the literal physical environments in which we operate our business. This book not only ensures that you do not get left behind, but that you are consistently light years ahead of the pack.
|
| Subject
|
:
|
Artificial intelligence.
|
| Subject
|
:
|
Artificial intelligence.
|
| Dewey Classification
|
:
|
006.3
|
| LC Classification
|
:
|
Q335
|
|
|
:
|
QA75.5-76.95
|