The 10 Coolest GenAI Products And AI Tools Of 2024

Here are the 10 coolest GenAI products and AI Tools of 2024 that you need to know about, including Google Vertex AI Agents, Cisco Webex AI Studio, SentinelOne Purple AI, Hatz AI and Amazon Q.

The hottest generative AI products and artificial intelligence tools of 2024 were launched by AI superstars like Microsoft and Nvidia along with innovative startups like Cranium AI and Hatz AI.

These AI and GenAI products include next-level AI assistant chatbots, AI agent building technology, AI-powered security to simplify threat hunting, and a platform that enables MSPs to build their own to AI-as-a-Service offerings, to name a few.

From Amazon Q, Google Vertex AI Agents and Cisco Webex AI Agent Studio to Vast Data’s InsightEngine and SentinelOne’s Purple AI, CRN breaks down the 10 coolest GenAI tools and AI products of 2024 that you should know about.

Big Trends Driving GenAI And AI Innovation

Before jumping into the best AI products, it’s important to note that nearly every major tech company invested heavily in building new GenAI products and AI tools this year as customer demand surged.

For example, enterprise spending on cloud infrastructure services reached $84 billion during the third quarter of 2024, up roughly $16 billion, or 23 percent year over year. “While some market headwinds have diminished, it is undoubtedly AI that is a prime factor behind this increased growth rate,” said John Dinsdale, a chief analyst at Synergy Research Group, in an email to CRN. “New AI-oriented services and technologyare helping the major cloud providers to ride a wave.”

By 2028, at least 15 percent of day-to-day work decisions will be made autonomously through agentic AI, up from 0 percent in 2024, according to IT research firm Gartner.

Additionally, Gartner expects by 2028, about 50 percent of enterprises will adopt products, services or features specifically to address disinformation cybersecurity use cases, up from less than 5 percent in 2024.

With artificial intelligence being the hottest topic in the tech world in 2024, CRN takes a look at 10 GenAI products and AI tools that are driving market demand.

Amazon Q

Amazon took a major leap forward in the GenAI assistant and chatbot market by launching Amazon Q this year.

The generative AI product aims to transform how developers code, businesses solve problems and employees get answers to questions across business data.

“Amazon Q is transforming how our teams find information across Amazon,” said AWS CEO Matt Garman recently. “This year alone, Amazon Q has resolved over 1 million internal Amazon developer questions, reducing time spent churning on manual technical investigations by more than 450,000 hours.”

There are several flavors of Amazon Q, including Q Developer and Q Businesses, with the purpose of answering questions at lightning speed, providing quick summaries of documents, automatically generating content, and upgrading applications.

Amazon Q Developers lets developers use it for tasks like coding, testing, upgrading, troubleshooting, and security scanning. Amazon Q Business users can have tailored conversations, solve problems, generate content, take actions and streamline tasks, and more.

Cisco Webex AI Agent And AI Agent Studio

Cisco has revamped its Webex portfolio to be completely AI-enabled including a Webex AI Agent that can handle customer inquiries with conversational intelligence.

The Webex AI Agent is a self-service concierge that quickly handles customer inquiries with natural dialogue and conversational intelligence to eliminate wait times and provide faster resolutions. It includes a design tool on the back-end that simplifies the process of training and deploying AI Agents in minutes for users and IT administrators.

Additionally, Cisco’s new AI Agent Studio allows contact centers to quickly deploy a voice or digital AI agent in minutes and select which AI models are used to support specific customer inquiries. It’s what Cisco is calling an "AI front door" to reduce calls in the contact center.

SentinelOne Purple AI; New Auto-Investigations Technology

Officially becoming generally available in April, SentinelOne’s Purple AI fuses data from SentinelOne’s networks with an LLM-based natural language interface to simplify threat hunting and help analysts boost productivity and scale their operations.

Purple AI helps security teams detect earlier, respond faster, and stay ahead of attacks, as well as accelerates threat hunting, investigations, and response.

It translates natural language questions into sophisticated PowerQueries within seconds, offering deep log analysis of native and third-party data, and providing one-click hunting quickstarts, suggested queries, and shareable investigation notebooks.

Purple AI can also run autonomous investigations to fast track investigations and response via its new Purple AI Auto-Investigations capability which automatically compiles a list of investigation steps based on the alert in question, independently run the steps and generate a recommended verdict.

Google Vertex AI

One of Google’s top AI priorities in 2024 was launching several new AI Agents offerings on Vertex AI, including Agent Builder and AI Search.

Vertex AI is a natural language understanding platform built on large language models (LLMs). It makes it easy to design and integrate a conversational user interface into a users mobile app, web application, device, bot or interactive voice response system. The goal is to provide new and engaging ways for customers to interact with a product.

Google’s new Vertex AI Agent Builder lets developers—even those with limited AI and machine learning skills—tap into the power of Google’s foundation models, search expertise, and conversational AI technologies to create enterprise-grade generative AI applications.

Additionally, Vertex AI Search is a fully managed LLM-powered platform that lets users build AI-enabled search and recommendation experiences for their public or private websites or mobile applications.

Hatz AI Platform For MSPs

The Hatz AI Platform enables MSPs to build an AI-as-a-Service business with AI applications and agents, vector storage, and custom LLMs.

Launched this year by red-hot startup Hatz AI, the platform is powered by an LLM operations engine, called Mido, and includes multi-tenant management through an MSP administrative dashboard.

MSPs can quickly integrate AI into their product offering by building specialized AI applications and workflows for their customers and offering organizationally managed AI assistants. Hatz AI also allows MSPs to build a system of record for small businesses with custom LLMs and vector storage—all managed through the Hatz AI Platform.

“The ability for MSPs to build their own large language models or tune existing foundational large language models and offer those services for their customers is key,” Hatz AI’s CEO Jimmy Hatzell told CRN this year. “The system of record is being able to manage vector storage, which is a way you can store information so it’s readable in AI format and referenceable.”

Nvidia ACE Generative AI

This year, Nvidia launched its ACE generative AI microservices to drive the next wave of digital humans in several key industries.

Companies in customer service, gaming and healthcare have been the first to adopt Nvidia ACE technologies to simplify creating, animating and operating lifelike digital humans across customer service, telehealth, gaming and entertainment.

“Digital humans will revolutionize industries,” said Nvidia CEO and founder Jensen Huang in a statement this year. “Breakthroughs in multi-modal large language models and neural graphics — delivered by Nvidia ACE to our ecosystem of developers — are bringing us closer to a future of intent-driven computing, where interacting with computers is as natural as interacting with humans.”

Nvidia’s ACE portfolio includes: Riva, for automatic speech recognition, text-to-speech conversion and translation; Nemotron LLM, for language understanding and contextual response generation; and Audio2Face for realistic facial animation based on audio tracks.

Red Hat OpenShift AI 2.15

Red Hat OpenShift AI was created to help customers build out an AI and machine learning operations platform to deliver GenAI and predictive models by providing AI tools on top of OpenShift. The AI solution supports model development, training, serving, automation and other predictive and generative AI use cases.

In late 2024, Red Hat revamped the offering with the launch of OpenShift AI 2.15.

The revamped AI product now includes a technology preview of a model registry to manage versions, metadata and model artifacts and detection tools for data drift and bias. OpenShift AI 2.15 also includes data drift detection that monitors changes in input data distributions for deployed ML models.

Additionally, OpenShift AI 2.15 includes a bias detection tools that help data scientists and AI engineers monitor whether their models are fair and unbiased. The revamped product now also supports AMD GPUs and Nvidia NIM.

Cranium AI Exposure Management

Startup Cranium AI is focused on securing the use of AI across the enterprise by launching Cranium AI Exposure Management that enables organizations to secure both the use of internal AI applications and third-party AI systems.

Featuring an AI-augmented workflow paired with a secure LLM architecture and proprietary threat intelligence, Cranium Exposure Management provides visibility into an AI system, characterizes attack surfaces, and assesses all vulnerabilities in an organization to ensure the strongest security posture.

The startup said the offering is the first exposure management solution for AI and GenAI, empowering security teams with visibility and insight to take precise and rapid action.

Key features include attack surface characterization which enables detailed analysis of potential points of compromise within a network and applications, vulnerability assessments, and threat intelligence for continuous monitoring and analysis of emerging threats and attack vectors.

Microsoft’s Copilot Charge: Sales, Services And Security

Microsoft’s generative AI charge is being led by Microsoft 365 Copilot, a personal AI assistant that can quickly retrieve information, brainstorm project ideas and simplify tasks.

The software giant launched three key Copilot products this year: Copilot for Sales, Copilot for Service and Copilot for Security—all of which are now generally available.

Copilot for Sales brings together Microsoft 365 Copilot with a role-based agent that connects with a user’s CRM platform to bring sales insights and generative AI into the flow of work. Users can create AI-generated email and meeting summaries in Outlook and Microsoft Teams and save them directly to their CRM platform.

Copilot for Service is an AI assistant for agents. Copilot for Service brings together Microsoft 365 Copilot with a role-based Copilot agent that enhances service experiences by adding generative AI to a customers’ existing contact center.

Microsoft’s Copilot for Security gives channel partners and users an AI tool that promises faster cyberthreat responses, risk assessment and signal processing. Incident summarization, reverse engineering of scripts and guided step-by-step instructions for incident responses are among the capabilities of Copilot for Security.

Vast Data InsightEngine

AI data platform company Vast Data said it launched the world’s first solution to securely ingest, process and retrieve all enterprise data in real-time to drive AI-driven decision making.

Vast Data’s new InsightEngine enables agentic AI, empowering autonomous agents to process, adapt, and act on dynamic data streams with minimal human oversight.

Leveraging Vast’s architecture and real-time processing alongside Nvidia NIM integration, AI agents can execute decisions and tasks instantly across all data, allowing businesses to adapt to rapidly changing conditions.

InsightEngine is ideal for automated incident response in financial services, software development, cybersecurity, real-time fraud detection, and adaptive patient care. By providing AI agents with immediate access to all data, enterprises can optimize workflows and free up employees.

The AI solution is built on the Vast DASE architecture, InsightEngine supports the storage of trillions of embeddings, real-time data ingestion and real-time similarity search across massive vector spaces and knowledge graphs.