Feature
When your IT team is attempting to build or use AI to improve security, productivity or innovation or taking on a big deployment, you’ll need AI tools. And to build your solutions at a scale that will work now and in the future, you’ll need computing power.
These leading tech companies have the AI IT tools you need and have been building AI solutions at the enterprise level longer than anyone. Whether you need to develop a large language model (LLM), a machine learning (ML) model or automation solutions and the processing power to test and scale your projects or AI expertise, they have it:
1. Google
Developers can turn to AI Studio by Mountain View, California-based Google for help creating AI-enabled products that tap into Google’s Gemini generative AI. This web-based tool allows you to use the Google AI API to prototype and run prompts without installing any software. It works with many programming languages, including Python, Dart, Android and Go — and is free to get started. There are three sizes available. For app developers looking to add AI tools to their projects, Google offers Firebase. These prepackaged extensions let you add AI capabilities, such as AI chatbots and customizable generative tasks, to your tools. Android developers can work alongside Studio Bot while writing Android code. Ask it to explain, find resources and learn best practices — as well as instruct it to write the code for you.
2. Microsoft
If you’re developing tools for your own use or for sale, Azure AI by Redmond, Washington-based Microsoft can help in many ways. You can build your own copilot tools and generative AI applications with Azure OpenAI Services, which offers a set of prebuilt, tested models that you can integrate into your apps and tools. Use Azure cognitive services to add generative AI to production workloads with its SDKs and APIs. Or tap the Azure machine learning platform to accelerate your development of machine learning models.
3. Amazon
Use generative AI on AWS by Seattle-based Amazon to build and scale tools embedded with generative AI intelligence that have enterprise-grade security and privacy. Amazon’s Bedrock offers a choice of models, from leading AI companies, as well as the tools you need to customize and build AI, from agents that can execute tasks to generative AI built into your toolsets. Or you can use Amazon SageMaker to build and train your own machine learning models.
4. IBM
Watsonx.ai by Armonk, New York-based IBM is a platform built to help your enterprise train, tune and deploy AI models. It taps IBM’s full technology stack to accelerate the labor-intensive task of building AI automations. Its data curation tool can wade through the time-consuming chore of labeling data while weeding out bias, hate and profanity. And the many models in this toolset are targeted at specific goals and tasks. If you’re looking to speed up your coding efforts, use watsonx Code Assistant to increase productivity. IBM’s watsonx.data can help you build your ideal data model toolset. Or you can mitigate risk by tapping AI to manage your AI projects with watsonx.governance.
5. Oracle
Austin, Texas-based Oracle has a suite of AI services and prebuilt machine learning models and tools that enable every aspect of AI development and implementation. With a full stack of cloud infrastructure, data platform and applications, all in Oracle’s public or private cloud experiences, there is everything here from applications that support key business functions to generative AI large language models and AI services and storage solutions.
See more: 5 AI Case Studies in IT
6. SAP
AI Foundation is a toolkit for developers and IT pros by Walldorf, Germany-based SAP. It is ready to use, so you can tap it to automate everything from writing code to building workflow automations and creating and powering data analytics applications or tapping your own mission-critical business data. Whether you use its AI models to get better insight from your business data or automate code creation with its generative AI-based code development tools, there’s an enterprise-level AI solution here. With drag-and-drop interfaces and privacy and security, AI Foundation is a turnkey solution.
7. Cisco
The suite of AI products by San Jose, California-based Cisco is broad, and it all sits on Cisco’s flexible infrastructure. Whether you’re looking for an AI security solution, hoping to get your organization ready to adopt AI, looking for a generative AI assistant to help you make smarter decisions, need an AI to power your contact centers or want to boost your hybrid workforce with AI, there’s a tool here to get you started and see you to the future. Cisco has partnered with NVIDIA to enable your enterprise to get to AI with all the power you need.
8. HPE
The GreenLake AI tools by Houston-based Hewlett Packard Enterprise (HPE) sit on a supercomputing platform that gives your efforts at AI the limitless power they need to tune models, get an end-to-end view of data to plan the right AI products and deployments and keep up with whatever you decide to do down the road. The AI tools here include unified analytics, a machine learning development environment, a data pipelining and versioning solution and ProLiant servers that are optimized for generative AI and natural language processing (NLP).
9. Dell
Round Rock, Texas-based Dell Technologies can power your AI efforts by giving them a home on AI-optimized Dell servers and through its storage and data management AI solutions. The company’s PowerEdge servers and Precision workstations are built with AI development and workloads in mind. Dell’s APEX is a SaaS solution for generative AI that offers tools to help you optimize ecosystems, secure your data, conserve resources and bridge the skill gaps in your organization — from the cloud. Dell also offers a series of professional AI services, so you can tap the company’s AI expertise to help you strategize, implement and adopt AI.
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10. Cognizant
With Teaneck, New Jersey-based Cognizant, you can use intelligent models to automate, predict and improve business outcomes. Or tap the company’s generative AI to help drive innovation or to turn images and videos into useful, organized information you can use to analyze and predict outcomes. The company offers AI-powered automation tools that can help automate your large-scale migrations into the cloud, do risk and compliance management or deploy technologies to your teams.
