Index
A
Activation function
Active agents
Active notifications
Agents
communities
formal framework
goals
passive
robot
state of affairs
Aggregate data
AI-first strategy
methods
activities
advantages and disadvantages
automation
components
CRM vendors
data analysis
data rating scheme
five-star
four-star
hire tools
mapping out processes
one-star
ready-made capabilities
spaCy
stimulation
streams
techniques and capabilities
three-star
two-star
practical approach
principles
automation
challenge
hypothesis
outcomes
preconditions and processes
process flow
scaling
test
up-front effort
AI-powered applications
AI-powered workplace
Analytics and improvement
Aristotle’s syllogisms
Artificial intelligence (AI)
agent
SeeAgents
agent-based view
data-driven approach
disappearing act
domain-specific
expert systems
model-driven approach
neural networks
opportunity
point and click interface
powered application
powered interfaces
process
techniques
Artificial neural networks (ANNs)
Augmented reality (AR)
AugmentOS
Automated classifier
Automated decision-making
ethical AI
ethical principles
lawful AI
robust AI
Automated helpdesk
Automatic speech recognition (ASR)
Automation processes
Autonomous agents
B
Bottom-up approach
Building robots
C
Capturing decision and completing tasks
Chatbot technology
approaches
conversational application
designing and building
Cloud-based solutions
Cloud computing
Cognitive computing/cognitive sciences
Collaboration
Compelling and heartwarming
Consumer-facing chatbots
Contextual information
Conversational collaboration platforms
automation
business model
communication
core features
culture
digital space
dimensions
document exchange
integrations
marshal conversations
network dynamics
people
presence
project groups
search
digital domain
marketing techniques
messaging applications
operating system
social networking/messaging infrastructure
Conversational interfaces
text
voice
Core capabilities
Custom capabilities
Custom conversational platforms
D
Data-centric thinking
Data-driven AI
applications
capabilities
deep neural networks
ethical/legal challenges
ImageNet data
techniques
Data-driven techniques
ANN
capabilities
DL
supervised learning
fine-tuning
gathering/preparing data
machine learning algorithm
prediction
training
unsupervised learning
Data lakes
Data management
Data sources and services
Data strategy
challenge
communication and collaboration
connection and aggregation
high-level strategy
tooling
unify information
Data warehouses
Deep learning (DL)
Delegating decision-making
Departmental information
Development operations (DevOps)
Digital domain
Digital environment
Digital locations
Digital space
Digital workplace
definition
digital environment
People and Teams
processes
representation
tools
E
Enterprise software
Ethical AI
applications
societal perspective
technical perspective
wide-scale automation
eXpert CONfigurer (XCON)
Expert systems
F
Five-star data
Four-star data
G
GDPR
General AIvs.
domain-specific AI
Google Glass
Google’s NLP demo
Graphical processing units (GPUs)
techniques
use
H
Health agent
Hire Tool
I, J
Intelligent notifications
active
basic
decision-making
organizational operating system
team
Interactive voice response systems (IVRs)
Internet of Things (IoT)
K
Knowledge management
L
Language
ASR
Siri
speech frames
voice assistants
challenges
english
NLP
SeeNatural Language Processing (NLP)
Lawful AI
M
Machine learning algorithm
Magic incantations
Mapping technology
Messaging applications
Microsoft’s cognitive services
Mixed reality (MR) environments
Mobile-first strategy
Model-driven AI
approach
techniques
Model-driven techniques
knowledge reasoning techniques
knowledge representation
information
organization things
logic
planning
Monitoring key data
connected data
contextual data
explainable data
marketing teams
N
Natural Language Generation (NLG)
Natural Language Processing (NLP)
analysis and entity extraction
classification
intent extraction
translation
Newton’s rules
O
One-star data
Open-endedvs.
structured interactions
Organizational collaboration operations
OUR STUFF
P, Q
Passive agents
Phonemes
Planning of conversational application
analytics and improvement
capabilities
contextual information
interaction style
platforms
Platforms
Project management tools
Purpose of data
AI-powered applications
big data
digital manipulation
model-driven techniques
store information
R
Resource allocation data
Robust AI
S
Self-directed agents
Sharing process knowledge
Slack
spaCy tool
Speech recognition
Striking phrase
Structure, conversational application
bot engine
broad spectrum
components
digital environment
implementing applications
interaction results
interface elements
language processing
open-ended
interactions
vs.
structured interactions
social skills
Support and collaboration
T
TeamChecklist
Team notifications
Telex technology
TensorFlow
Text-based conversations
Three-star data
Two-star data
U
User interfaces (UIs)
V
Virtual reality (VR)
Vision
Voice-based conversations
W, X, Y, Z
Wellness agent
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