What is artificial intelligence, really?
Understanding the basics of artificial intelligence (AI), analytics and automation is the first step on any successful AI journey. Let’s start there.
AI 101
What is deep learning? Or intelligent automation? Or any number of AI-related technologies and applications that seem to be used more and more every day?
These videos tackle AI, analytics and automation topics one at a time, using simple analogies, clear definitions and practical applications—all in under a minute.
Let’s begin with Natural Language Processing (NLP)—a field of computer science that can help computers understand and generate human language—even with its contextual nuances.
More AI 101 topics
AI 101: Machine Learning
AI 101: Applied Intelligence
AI 101: Deep Learning
AI 101: Responsible AI
AI 101: Predictive Analytics
AI 101: Computer Vision
AI 101: Big Data Analytics
AI 101: Intelligent Automation
AI 101: Dark Data
The time is now: How to scale AI
With AI, we’re now firmly in the era of implementation.
But what does your organization’s AI journey look like? Are you able to move beyond proofs of concept to production – and quickly - to stay ahead of your competitors?
This practical primer will help you identify key areas that are critical to successfully scale AI. The result of combining these factors? A multiplication of value for your business.
ExplAIned: An AI guide for executives
What is AI? And, more importantly, what can it do for your business?
This guide is specifically geared towards executives. It highlights AI basics, trends, challenges and opportunities—and how it can deliver scaled impact when coupled with analytics and automation.
Our goal is to help you understand AI’s game-changing capabilities and how can they help you accelerate your business transformation.
AI to Z Glossary
Improve your fluency around topics like AI, automation and analytics.
Our glossary provides clear definitions and thorough explanations of the wide range of terms and concepts associated with AI and Applied Intelligence—from image recognition, to the Turing test, to quantum computing and beyond.
Case studies
Making intelligent automation a part of the story with an AI-powered digital assistant in the newsroom.
Real-time intelligence, smarter marketing, happier customers.
Powering a new kind of customer conversation with AI.
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What we think
AI is developing so quickly that standardized practices may take many years to develop. In the meantime, what should AI self-regulation look like?
How should business leaders determine what needs to be done with their data across functions—and prioritize to achieve maximum impact?
AI assistants are already quite common. But as they evolve from "assistants" to true "companions," new and interesting questions emerge.
Capabilities
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