Artificial Intelligence Business Models

Baidu Business Model

As any digital business, Baidu needs a continuous stream of traffic to monetize its pages. In 2017 Baidu managed to lower its Traffic Acquisition Costs as a percentage of its revenues at 11.4%. Primarily driven from its Baidu Union Members, and its iQIYI services. The former allows Baidu to have inexpensive content served by third-parties members. The latter will enable Baidu to have high-quality premium content at a low cost.

ByteDance (TikTok) Business Model

TikTok is the Chinese creative social media platform primarily driven by short-form video content. It launches challenges of various types to tap into the creativity of its users and generate engaging (if not addicting content) accessible via an infinite feed. TikTok primarily makes money through advertising, thus making it an attention-based business model. Business Model

C3 AI is a cloud-based Enterprise AI SaaS company. It built a set of proprietary applications (known as the C3 AI suite) that offer its clients the ability to integrate digital transformation applications with fast deployment and no overheads. C3 AI makes money primarily via its subscription services and professional fees.

Google (Alphabet) Business Model

Google has a diversified business model, primarily making money via its advertising networks that, in 2019, generated over 83% of its revenues, which also comprise YouTube Ads. Other revenue streams include Google Cloud, Hardware, Google Playstore, and YouTube Premium content. In 2019 Google made over $161 billion in total revenues.

Open AI

Founded less than six years ago, OpenAI maintains a philosophy that giant corporations should not control progressive technology development. The non-profit organization aims to research artificial intelligence (AI) to discover its potential and benefits to society. The goal is to produce open-source software and applications that allow various researchers to develop AI systems. Since the beginning of the organization, it has racked up several impressive achievements, which is the primary focus of this article.
GPT-3 is Open AI’s latest natural language prediction model. With the emergence of Artificial Intelligence (AI) in the business landscape, this is one of the tools that will quickly increase in popularity. The Generative Pre-trained Transformer 3 offers limitless access to computing on top of its cloud infrastructure, promoting scalability. Nevertheless, GPT-3 should be the next big thing in tech. Following the rise of deep learning, advanced technology will transform how business gets conducted globally.

Deep Mind

As one of the largest artificial intelligence research facilities, DeepMind aims to advance the technologies of AI. DeepMind was acquired by large tech corporation Google for $600 million in 2014. Since the organization’s founding, it raked plenty of achievements shaping the world we live in today.

IBM Business Model

Started in 1911 as a Computing-Tabulating-Recording Company (CTR), called then International Business Machines by 1924. IBM primarily makes money by five segments (cognitive solutions, global business services, technology services, and cloud platforms, systems, and global financing) with also innovative products such as IBM Watson and IBM Blockchain.

Intel Business Model

Founded in 1968 by Gordon Moore, which would go on to formulate one of the most reliable laws in technology, Intel has been able to survive and thrive through several waves of technology. Intel is transitioning from becoming a PC-centric company to becoming a data-centric company. 

NVIDIA Business Model

NVIDIA is a GPU design company, which develops and sells enterprise chips for industries spacing from gaming, data centers, professional visualizations, and autonomous driving. NVIDIA serves major large corporations as enterprise customers, and it uses a platform strategy where it combines its hardware with software tools to enhance its GPUs’ capabilities.

Microsoft Business Model

Microsoft has a diversified business model spanning across Office products, Windows, Gaming (Xbox), Search Advertising (Bing), Hardware, LinkedIn, Cloud and more. 


Tencent is a Chinese multinational conglomerate founded in 1998 by Ma Huateng, Zhang Zhidong, and Xu Chenye. Among its various global subsidiaries are companies in the online services, music, and artificial intelligence industries. But it is perhaps best known for its interest in the video game sector – both as a game developer for the Chinese market and the acquirer of several established gaming companies. Tencent is a vast company with a stake in more than 600 companies. Following is a look at some of the companies and subsidiaries it has a majority stake in.

Main Free Guides:

Connected Concepts

DevOps refers to a series of practices performed to perform automated software development processes. It is a conjugation of the term “development” and “operations” to emphasize how functions integrate across IT teams. DevOps strategies promote seamless building, testing, and deployment of products. It aims to bridge a gap between development and operations teams to streamline the development altogether.
RevOps – short for Revenue Operations – is a framework that aims to maximize the revenue potential of an organization. RevOps seeks to align these departments by giving them access to the same data and tools. With shared information, each then understands their role in the sales funnel and can work collaboratively to increase revenue.
AIOps is the application of artificial intelligence to IT operations. It has become particularly useful for modern IT management in hybridized, distributed, and dynamic environments. AIOps has become a key operational component of modern digital-based organizations, built around software and algorithms.
Machine Learning Ops (MLOps) describes a suite of best practices that successfully help a business run artificial intelligence. It consists of the skills, workflows, and processes to create, run, and maintain machine learning models to help various operational processes within organizations.
Ad Ops – also known as Digital Ad Operations – refers to systems and processes that support digital advertisements’ delivery and management. The concept describes any process that helps a marketing team manage, run, or optimize ad campaigns, making them an integrating part of the business operations.
Scroll to Top