Feature
Looking for an AI product to help your IT team deliver products and services faster, better and with less labor? Hoping to protect your networks by employing AI to flag potential intrusion and save your team from wasting time or missing something important?
These are some of the top AI products for IT teams — with many by cloud computing providers — that offer the broadest toolset for your back-end technical needs:
1. Microsoft Azure AI Studio
Turn to Microsoft’s Azure AI Studio if you need a comprehensive suite of AI tools you can use to build, tune and launch AI solutions from one place. Create conversational copilots for your own site or business case that are based on your data. Add the ability to see, hear and speak to your apps. And tap the Azure AI SDK to install AI into your existing frameworks.
2. Google Gemini
Google’s Gemini line of large language models (LLMs) can sort, process and understand data — be it text, video, audio or code. It can be built into everything from data centers to mobile. Gemini comes in three levels: Ultra for highly complex tasks, which is capable of outperforming human experts in over 50 subject areas; Pro for a broad range of tasks; and Nano for efficiency on devices.
3. Amazon Bedrock
Amazon’s Bedrock is a fully managed service that puts a wide choice of foundation models from a range of companies — including AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI and Amazon — on a single API, so you can build and evaluate, picking and choosing your toolset. You don’t have to manage the infrastructure. Go straight to deploying the AI capabilities you want in your applications from the AWS service you already use.
4. IBM wastonx.ai studio
IBM’s watsonx.ai studio can help you through your entire AI life cycle. Use it to train, validate, tune and deploy the generative AI tools you envision. It uses foundation models and machine learning (ML) to empower your tools. You can also create your own models, making it easy to build a Q&A resource that uses general knowledge or your knowledge base. Once your tools are built, you can tune them and then tap into a library of SDKs and APIs to grow their power. This toolset will take you all the way through deployment.
See more: 10 Top AI IT Companies
5. Oracle AI for Fusion Applications
Add AI to the Fusion Cloud Applications you already use with Oracle AI for Fusion Applications. It will allow you to embed generative AI capabilities into your everyday business operations. Tap the transformative ability of AI to improve your high-level decision making. And automate your business processes — including in HR, finance, sales, service, marketing and supply chain management — with intelligent AI tools.
6. SAP AI Foundation
SAP’s AI Foundation toolkit for developers and IT pros lets you tap into large language models to build code in Java and JavaScript faster with an AI copilot. Or use this tool to create no-code workflow processes, modernize your databases and manage your business data. With drag-and-drop functionality, privacy and security, AI Foundation is a turnkey solution.
7. Cisco Motific
Build out your AI tools securely with Cisco’s Motific AI toolset. This SaaS developer kit lets you create and deliver generative AI products. It gives your IT team the ability to control sensitive data and ensure you develop products that are secure and responsible. Because Motific automatically configures assistants and brings point-and-click ease to the development process, Cisco says that teams can get to deployment in days, rather than months.
8. HPE Machine Learning Development Environment
Build and train your models faster with HPE Machine Learning Development Environment. The distributed training environment here lets you train at any scale without changing code. And, since it is easy to set up, manage, and secure, your engineers will spend less time learning and building infrastructure and more time building chatbots and other tools that can be deployed into the cloud or on premises.
9. Dell PowerEdge XE Servers
Dell Technologies’ AI-optimized PowerEdge XE servers provide a home for your AI undertakings and private instances of large language models. These machines have been built with AI in mind and have the acceleration, high performance and GPU offerings you need to house on-premises AI tools and models.
Webinar
Sep
25
CMS Briefing: A Live Look at What’s Next in AI-Driven Platforms
Learn how leading organizations are using AI‑driven tools to publish faster, personalize smarter and stay secure.
Register
Webinar
Oct
15
Agentic AI Playbook Real-World Customer Service Use Cases You Can Deploy Now
Boost self-service by 30% and slash call volume by 63% with agentic AI.
Register
Webinar
On demand
Ready or Not: How Data-First Organizations Are Unlocking Agentforce Potential
Learn how to cut through the noise, activate Agentforce and build a Salesforce AI strategy that actually delivers.
Watch Now
Webinar
On demand
AI in Customer Service: Faster Resolutions, Happier Customers
Don’t let rising demand burn out your team. See how to build a smarter, more resilient support org.
Watch Now
Webinar
On demand
From Hype to High-Impact CX Strategies That Actually Scale
Turn buzzworthy AI and outsourcing trends into measurable CX wins with fresh 2025 data.
Watch Now
Webinar
On demand
Insights to Action Rethinking the Contact Center for Real Business Impact
Join our exclusive webinar to hear CX executives share their innovative strategies for transforming service delivery.
Watch Now
10. Cognizant Neuro
The Cognizant Neuro platform will take your AI product from concept to launch, letting you fine-tune and train your enterprise-grade tools on your data as you go. You can use it to add AI agents into your services and apps. Start with an idea and use Neuro to build it, adapt, scale and deploy. Go fully automatic or allow for human oversight.
See more: 5 AI Case Studies in IT
