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Top Viewing Companies
Top Content Pages
CHATGPT CAN NOW GIVE YOUR REAL-TIME INFORMATION
Americas:
Chatbots
EMEA:
Chatbots
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03
01
Top Regional Trends
AI Business Newsletter: Readership Trends
Top Trending Topics
Machine Learning
Adoption of machine learning will expand across the board in enterprises as more non-technical employees will learn to use it to derive better business insights. There will be more emphasis on how to apply the algorithms, measuring the outcomes and driving efficiency. To find solutions, enterprise users need more information on the options available in current market.
Articles discussing trends in AI and examples of use cases performed well in terms of pageviews and engagement in Q4
Language models, neural networks, deep learning and predictive analytics were topics that readers frequently engaged with.
Manufacturing in AI
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AI Business Audience Insights Dashboard
Q3 2023
Intro
Top Content Pages
Top Viewing Companies
Top Regional Trends
Readership Trends
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Top Trending Topics
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Introduction
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The AI Business Audience Insights Dashboard collects behavioral insights and intent data from the AI Business global news portal. Our aim is to guide customers to products and topics that can help them get the best return with our audience. AI Business is the only news and insights website that focuses on how businesses can apply AI in their companies, with a focus on helping business leaders run their companies better with AI.
Highest Ranked Topics by Page Views:
Highest Ranked Topics by *Engagement:
Get In Touch
Bhavik Parekh,
Business Development Manager,
e: bhavik.parekh@informa.com
All Regions
James Lloyd,
Senior Digital Media Sales Specialist
e: james.lloyd@informa.com
All US (excluding MA, NJ NY, VA, MN)
Source: IIRIS Hub, Jan-March 2023
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Chatbots: 34.00%
Language Models: x%
Language Models: 21.49%
IT: 4.15%
Chatbots: 10.0
Language Models: 8.6
Data Analytics: 8.6
Coca-Cola Introduces Its First Ever AI-Created Flavor
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Top Viewed Content (published in the last 6 months)
ChatGPT Gets Eyes, Ears and a Voice
Our readers are seeking to operationalize, embed and scale AI and data-led competencies within their organizations. AI Business is dedicated to showcasing what AI adoption means for a business. Whether you are an established industry leader or a start-up looking to make a mark, AI Business provides a platform for you to connect with your target audience on the topics they are most interested in and grow your business.
Top 3 page views by
regional audience:
- Machine Learning: x%
- Language Models: x%
- Chatbots: x%
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Source: IIRIS Hub: Jan - June 2023
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Source: IIRIS Hub: Nov 2022 - March 2023
Highest Ranked Topics by Page Views - % of Audience views
Did you know
The AI Business podcast covers the hottest topics within the artificial intelligence community and provides cutting-edge AI insights from key industry figures.
Lenovo global CIO Arthur Hu recently joined the AI for a 1-hour deep dive into operationalizing AI and setting a generative AI framework.
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NLP and Chatbots
AI has been capturing public excitement since the introduction of ChatGPT, an AI chatbot that uses NLP to generate content from text prompts.
Readers are passionate about ChatGPT and generative AI in general, including stories about text-to-image generators Stable Diffusion, Midjourney, DALL-E among others. Among the 25 most-read stories, 22 were about ChatGPT and other large language models in Q1 2023.
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AI
Operationalizing AI
AI has been around for decades but the advent of generative AI is kicking activities into high gear. Companies are stepping up their projects in AI and generative AI, enabled by the flood of tools offered by the major hyperscalers - AWS, Azure and Google Cloud – as well as enterprise productivity software providers Microsoft, Google and Salesforce. Companies are also developing their own machine learning models in-house as well with big consulting firms Deloitte, BCG, Accenture, Bain and McKinsey ready to help them along.
Managing the Risks and Costs of Generative AI
As enterprises look to adopt generative AI, hard questions are being asked around its risks: inaccuracies, hallucinations, bias, privacy, toxicity and vulnerability to cyber attacks. It also is not cheap since generative AI needs high-performance chips and computers to run. However, companies are looking to use smaller language models fine-tuned on their data and that are much less expensive.
Fine-tuning AI Models for Domain-Specific Uses
Companies are investigating the benefits of training a private foundation model on their own internal data, with a ChatGPT-like bot answering employee questions in natural language. Imagine finding an internal document becoming as easy as asking your AI chatbot. Or a company can train a bot on industry-specific data so it can better answer questions from clients.
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Robotics and AI: The role of AI in robots
7 language models you need to know
SXSW ’23: Whatever Happened to the Hyperloop?
How Deep Blue vs. Kasparov changed AI forever
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Regional Engagement by Topics
Top Viewed Past Stories (published 6+ months)
*Engagement Index:: total pageviews, pageview per article, engaged time, and average vertical scroll
Source: IIRIS Hub: June - September 2023
Source: IIRIS Hub: June - September 2023
Source: IIRIS Hub, June - September 2023
Source: IIRIS Hub, June - September 2023
Source: IIRIS Hub, June - September 2023
Source: IIRIS Hub, June - September 2023
Asia:
Chatbots
Meta Connect 2022: Photorealistic AI-powered Avatars