As the top dog in the all-important world of cloud computing, no company is better positioned than AWS to provide AI services and machine learning to its massive customer base. In true AWS fashion, its profusion of new tools is endless – and intensely focused on making AI accessible to enterprise buyers. AWS’s long list of AI services includes quality control, machine learning, chatbots, automated speech recognition and detecting online fraud.
eWeek video: AWS VP Bratin Saha on the Bedrock Generative AI Tools

The search giant’s historic strength is in algorithms, which is the very foundation of AI. Though Google Cloud is perennially a distant third in the cloud market, its platform is a natural conduit to offer AI services to customers. Demonstrating its competitive focus on AI, Google rolled out AI platform Bard soon after OpenAI debuted ChatGPT. It’s a safe bet that Google will be a leader in AI in the years ahead.

A top hybrid/multicloud vendor – boosted by its acquisition of Red Hat in 2019 – IBM’s deep-pocketed global customer base has the resources to invest heavily in AI. IBM has an extensive AI portfolio, highlighted by the Watson platform, with a strength in conversational AI, machine learning and automation. The company invests deeply in R&D and has a treasure trove of patents; its AI alliance with MIT will also likely fuel advances.
eWeek feature: IBM Think 2023: AI and Quantum Computing

Little known in the US, Baidu owns the majority of the Internet search market in China. The company’s AI platform, Baidu Brain, processes text and images and builds user profiles. Baidu has announced plans to use its AI technology to create an autonomous ride hailing service. It has also launched its own ChatGPT-like tool, a generative AI chatbot called Ernie.

Oracle’s cloud platform has leapt forward over the past few years – it’s now one of the top cloud vendors – and its cloud strength will be a major conduit to offer AI services. To bulk up its AI credentials, Oracle has partnered with Nvidia to boost enterprise adoption of AI. The company stresses its machine learning and automation offerings and also sells a menu of prebuilt models to enable faster AI deployment.
eWeek Video: Oracle Cloud’s Leo Leung on Cloud Challenges and Solutions

Spun off from conglomerate GE in January 2023, GEHealthcare is building a platform called the Edison AI Orchestrator. Edison is designed to fully integrate AI-enabled clinical applications into radiology – for both GE and non-GE devices – to boost the quality of medical decision making. Additionally, the company has hired a former Amazon machine learning executive to assist in its AI healthcare expansion.

Dell’s APEX solution, which includes multicloud management and a SaaS-based IT services panel, enables companies to build AI-based tools ranging from fraud detection to natural language processing to recommendation engines. The company also stresses the AI-support provided by its hardware, like its PowerEdge servers and PowerScale Storage.
eWeek video: Dell APEX’s Chad Dunn on Handling Multicloud Challenges

A division of Mastercard, Brighterion serves Mastercard’s AI needs and also provides AI services to other companies. Brighterion’s AI Express offers customized AI solutions geared for the needs of financial services companies. Brighterion touts its “custom AI that’s production ready in 6-8 weeks.”

In 2019, the fast food giant acquired Dynamic Yield, an AI-powered personalization platform that has worked with hundreds of brands. Dynamic Yield allowed McDonald’s drive-throughs to quickly personalize menu boards based on a customer’s order and other factors. Company executives claimed the personalization technology boosted the average check, but in 2022 McDonald’s sold Dynamic Yield to Mastercard. Industry observers opined that the sale meant large retailers prefer to get AI services from specialist companies rather than supporting AI in-house themselves.