“Tech Giants” Explore AI Solutions

Posted on July 22, 2024  (Last modified on December 10, 2024) • 5 min read • 859 words

Who Makes What and What Does it Do?

With the rise of AI products and services over the past two years (and a lifetime’s worth of news written about the subject) it makes sense to take a quick look at what products are available from those brands we know best in the world of tech! You’ve heard of them but do you know what AI products they have to offer and how they are being used today?

Let’s Find Out!

Amazon (SageMaker)  

The largest online e-commerce platform and cloud computing solution enters the AI industry with a solution to help people and businesses easily create and use machine learning (ML) models. Companies, Data Scientists, Developers, Researchers, and small businesses may find it useful for a variety of use cases. SageMaker combines all the necessary tools in one place, making complex tasks simpler. While some basic knowledge of programming and machine learning is helpful, SageMaker provides resources and tutorials to help anyone get started, making advanced technology more accessible to use all.

Data Scientists and ML Engineers use it to build, train, and deploy new and existing models. AI21 Labs uses SageMaker to speed up AI development, the Allen Institute uses it to improve brain disorder treatments, and AT&T Cybersecurity (LevelBlue) uses it to better detect and respond to threats.

Get started with SageMaker today and find out if it’s a great fit for you and your company.

Google (Cloud AI)  

One of the most popular search engines expands into the AI industry by using its strong, existing infrastructure, ongoing research, and large amounts of data collected over the past 2+ decades. Enhancing its products, like Google Search and Google Workspace, with AI to offer tools like Vertex AI and Gemini for developers to create new solutions. And investment in AI research, through teams like DeepMind, fuels further innovations.

Used by a wide range of customers, including large companies, startups, developers, and government agencies. It’s popular among healthcare providers, marketing firms, and educational institutions. These users rely on Google Cloud AI to improve operations, create new applications, analyze data, and enhance customer experiences.

Find out if Google Cloud AI can help you rebuild customer experiences.

Microsoft (Azure AI)  

The makers of the number one desktop operating system also leverage their existing cloud infrastructure, research expertise, strategic partnerships, existing software ecosystem, and developer community to enter the AI space. By integrating AI into Azure’s scalable cloud services, utilizing cutting-edge research, and collaborating with leading technology experts, Microsoft effectively builds on its resources to deliver innovative AI solutions.

From creating chatbots for customer service, analyzing large datasets to find valuable insights, generating content for marketing and creative projects, processing speech and language for better communication, automating repetitive tasks to boost efficiency, and personalizing user experiences based on preferences. These applications help businesses enhance customer interactions, streamline operations, and foster innovation.

Learn more to see if Azure AI is a potential infrastructure solution.

NVIDIA (DGX Systems)  

The DGX systems are powerful machines designed to boost artificial intelligence (AI) and machine learning (ML) tasks. For example, the DGX GB200 combines two advanced GPUs and a CPU to speed up AI processing by up to 30x, making training models four times faster. The DGX B200 offers high performance with its 8 GPUs, while the DGX H100 is a proven choice for current ML standards and needs.

While Amazon, Google, and Microsoft may have some proprietary hardware solutions of their own, Nvidia dominates the processing power of a GPU and CPU combined.

Right now, DGX systems are used in research and businesses to handle complex AI and ML tasks, such as training large models and running detailed simulations. They come with NVIDIA AI Enterprise, to ensure a smooth and efficient processing experience.

Leverage AI-ready data centers to host DGX systems for your needs.

Salesforce (Einstein 1 Studio)  

A powerful platform for integrating and extending AI within Salesforce’s namesake Customer Relationship Management (CRM). This suite allows users to create and deploy tailored AI experiences through features like Einstein Copilot, which offers low-code AI builders for custom solutions. You can build personalized AI models, use pre-built prompts to enhance productivity, and seamlessly incorporate AI into CRM workflows.

Companies use it to create virtual assistants that handle customer questions or help Sales Teams by predicting which leads are most likely to convert. It also helps businesses automate routine tasks, personalize marketing efforts, and analyze data to make better decisions.

Consider this a solution every company will eventually integrate into its existing products and services. Salesforce is just getting ahead of the game while others are barely getting started.

If your org’s Salesforce org could use a little boost, then Einstein 1 Studio may just be the right fit.

Conclusion  

Some of these powerful AI solutions fit various needs to simplify machine learning, enhance applications, and integrate with existing services, while others provide over-the-top processing power for AI tasks. Each product offers a unique set of strengths and applications. Do your research and choose the one that best meets your needs to drive your projects forward!

Until next time keep working hard, smart, and happy. And we’ll see you in the cloud!