The 10 Coolest AI Tools And GenAI Products Of 2023

From Amazon Bedrock and Google Vertex AI to Salesforce Einstein GPT and OpenAI’s GPT-4, CRN breaks down the 10 coolest AI tools and GenAI products of 2023.

Artificial intelligence tools flooded the market in 2023 with generative AI becoming the most popular topic of discussion throughout the entire IT industry as many of the largest tech companies on the planet poured billions into the technology.

The boom in AI is boosting various IT industries—from cloud computing and chips to the most popular collaboration products.

IT research firm Gartner predicts that over 80 percent of enterprises will have used GenAI APIs and models and/or deployed GenAI-enabled applications in production environments, up from less than 5 percent in early 2023.

“Generative and other types of AI offer new opportunities and drive several trends,” said Chris Howard distinguished vice president analyst and chief of research at Gartner in a recent report. “But deriving business value from the durable use of AI requires a disciplined approach to widespread adoption along with attention to the risks.”

Top AI Products, Tools And LLMs In 2023

The coolest new AI products in the market this year are helping businesses become more productive and efficient by speeding up a wide variety of tasks and use cases.

Large language models (LLMs) like Microsoft 365 Copilot, Google Bard and OpenAI’s GPT-4 can be used to generate code, translate customer documentation, create marketing materials, answer questions and develop new product ideas.

Other hot artificial intelligent tools like Amazon Bedrock makes GenAI models accessible through an API, while Google’s Vertex AI Platform provides purpose-built MLOps tools for data scientist and machine learning engineers to automate, standardize and manage AI projects.

It appears that the possibilities and use cases for GenAI increase with every new version and iteration with the largest tech companies on Earth—such as Google, Microsoft and Amazon—spending billions on building new AI tools. The most talked about startups across the globe right now are AI startups like Anthropic.

CRN breaks down the 10 hottest AI tools of 2023 that every business, channel partner, investor and user should know about as GenAI looks to transform the world.

Google Vertex AI

One of Google’s biggest AI launches ever is its Vertex AI platform that provides purpose-built MLOps tools for data scientist and machine learning engineers to automate, standardize and manage AI projects.

The company touts that Vertex AI offers everything customers need to build and use GenAI—from AI solutions to Google Search to over 100 foundation models, in a unified AI platform. It includes a set of data residency controls and gives developers full observability on the prediction performance and resource utilization of their custom AI/ML models.

Vertex AI allows customers to train and deploy ML models and AI applications, while also customizing LLMs for use in AI-powered applications. Users can choose from a wide variety of Google, third-party and open-source models. Overall, the platform combines data engineering, data science, and ML engineering workflows to enable teams to collaborate using a common toolset and scale applications using the benefits of Google Cloud.

Amazon Bedrock

Launched this year, Amazon Bedrock makes generative AI models from Amazon and third-party model providers accessible through an API.

Customers can customize AI models with their proprietary data using techniques like fine-tuning and retrieval augmented generation. Customers can also create managed agents that execute complex business tasks—from booking travel and processing insurance claims to creating ad campaigns and managing inventory—all without writing any code.

Bedrock became generally available in September. It offers foundation models from AI companies including AI21 Labs, Anthropic, Cohere, Meta and Stability AI. Bedrock offers a broad set of capabilities users need to build generative AI applications while maintaining privacy and security.

Since Amazon Bedrock is serverless, customers don’t need to manage any infrastructure, and can securely integrate and deploy generative AI capabilities into their applications using familiar the AWS services.

OpenAI GPT-4

The popularity of OpenAI’s ChatGPT fundamentally shifted the IT landscape to focus on generative AI in 2023 and beyond. Launched in March, OpenAI’s LLM GPT-4 is more creative and collaborative compared to previous versions. It can generate, edit and iterate with users on technical and creative writing tasks.

GPT-4, which stands for Generative Pre-trained Transformer version four, is pre-trained using both public data and data licensed from third-party providers, while also being fine-tined for policy compliance. The goal is to drive work efficiency and creativity for users, performing helpful tasks such as generating code and writing emails.

The upcoming enhanced version, GPT-4 Turbo, has been trained with up-to-date information in 2023 and has a 128K context window which enables more thoughtful responses.

Microsoft 365 Copilot

On Nov. 1, Microsoft 365 Copilot for enterprise customers became generally available, enabling partners and customers more access to Microsoft’s generative AI tools. Copilot is an AI assistant that helps customers with tasks across Microsoft’s productivity applications including Teams, Word, PowerPoint, Outlook and Loop.

Copilot can create draft proposals, prepare demonstrations, summarize emails and write documents, to name a few use cases. The goal is for customers to collaborate more effectively and increased employee productivity. Customers must buy at least 300 seats of M365 Copilot to use it with M365 Copilot costing $30 per user per month.

In October, Microsoft opened an early access program for Security Copilot, which promises to use GenAI for better protection of organizations and speed up security teamwork.

Salesforce Einstein GPT

Salesforce’s new AI-powered tool Einstein GPT helps businesses improve their customer relationship management (CRM) efforts right within the Salesforce platform. It combines Salesforce’s CRM platform with OpenAI’s GPT-3.

Salesforce Einstein GPT, which has been integrated with many of the company’s most popular products including Slack, can unlock valuable data insights, create human-like text and improved sentiment analysis for customers.

The AI tool combines public and private AI models with CRM data. This allows users to ask natural-language prompts directly within Salesforce CRM with AI-generated results that continuously adapts to changing customer information and needs.

The most significant use cases for Salesforce Einstein GPT are around costs savings by automating processes and optimizing resources, capturing data-driven insights for quick decision making, and improving employee efficiency and productivity.

Google Cloud’s Duet AI

Duet AI is Google Cloud’s generative AI tool that helps customers write applications, query data, create code and protect customers security and data privacy.

Through a natural language chat interface, users can quickly chat with Duet AI to get answers to cloud questions or receive guidance on best practices. Duet AI is specifically trained on Google Cloud content like docs, sample code, and best practices. The AI tool can also suggest paths to solve application code challenges and provide expert guidance.

Duet AI serves as an expert pair programmer and assists users with contextual code completion, offering suggestions tuned to a customer’s code base, generating entire functions in real time, and assisting with code reviews and inspections.

Duet AI was injected to both Google Workspace and Google Cloud Platform this year, leveraging the Vertex AI platform to provide AI assistance while keeping data private at secure on GCP.

Anthropic Claude 2

Launched in July, Claude 2 is Anthropic’s newest general-purpose LLM and the most capable systems released by the AI startup superstar to date. It now powers Anthropic’s popular Claude AI chatbot.

Claude 2 has improved performance and longer responses compared to Anthropic’s previous AI model, Claude 1.3, in terms of its ability to write code based on written instructions and the size of its context window. Claude 2 and can be accessed via API as well as a new public-facing website claude.ai. There are several versions of Claude 2, including Claude 2 API for businesses and a its Claude AI chatbot.

To fine tune the model, Anthropic reinforcement learning with human feedback as well as constitutional AI, which is a technique to make prompt responses less harmful. Anthropic said instead of humans fine tuning the model with feedback, Claude 2 can fine tunes itself.

ChatSpot (HubSpot)

ChatSpot is an AI-powered assistant that combines ChatGPT and GPT-4 with HubSpot’s data sources and CRM software platform.

The AI chatbot allows users to perform tasks such as creating custom reports and marketing messages, summarize HubSpot data, and add contacts to the CRM. Inside ChatSpot, users can find suggested generative AI, sales, marketing and research prompts that drive productivity and sales efforts.

A few features inside ChatSpot includes prospecting templates that allow users to quickly identify key opportunities for outreach, create AI generated images, SEO expertise and helps IT reams dive deeper into company data such as technologies used, funding rounds and locations.

Amazon CodeWhisperer

CodeWhisperer is an AI-powered code generation tool that can generate entire functions and classes based on natural language prompts. It can also be used to scan code for security vulnerabilities and automatically generate suggesions based on existing code and comments.

CodeWhisperer is trained on billions of lines of code and can generate code suggestions ranging from snippets to full functions in real-time. The tool can flag or filter code suggestions that resemble open-source training data.

Amazon AI tool can scan code to detect hard-to-find vulnerabilities and get code suggestions to remediate them instantly. This allows customers to align to best practices for tacking security vulnerabilities.

Customers can also customize CodeWhisperer to create more relevant recommendations by making it aware of APIs, packages and internal libraries to accelerate development. Users can select from 15 programming languages including Java, Python and JavaScript.

Google Bard

Google Bard is conversational generative AI tool that acts like an AI collaborator to help boost Google Workspace portfolio, which includes Gmail, Docs, Drive, Meet, Chat, Sheets, Slides and more.

The goal of Bard to boost customer productivity and accelerate creativity from the powerful large language model (LLM). Bard has similar capabilities to ChatGPT but with a bigger focus on accuracy and reliability, Google says. Bard can automate the work of scheduling meeting on Gmail, generate code for website layout, write content, and answer questions via Google Search, to name a few use cases.

Bard Extensions allows users to link their Google services and applications together to find relevant information and answers from Gmail, Docs, Drive, Maps, YouTube and more, even when the information needed is spread across multiple apps and services.