The best generative AI tools for businesses

Generative AI tools like DALL-E, ChatGPT, Notion AI, and ElevenLabs are transforming roles, particularly for those with a marketing and sales focus.

By using artificial intelligence, companies can streamline their operations and spark innovation while saving on costs. What's not to love?

Whether your business is considering large language models, image generation, video content creation, or more general solutions to boost business processes, this article digs into the top generative AI apps to consider implementing.

Key takeaways

• Generative AI overview
• How AI technologies can help businesses grow
• The top 5 generative AI tools for businesses
• How to integrate ElevenLabs’ text-to-speech API
• Final thoughts
• FAQs

How generative AI can help businesses grow

Generative AI technology can significantly enhance business growth by generating social media posts, product descriptions, and video content. These artificial intelligence tools use natural language prompts and machine learning to respond to prompts and create content.

An AI chatbot or an AI assistant can enhance a business' customer service. But a generative AI model can also perform data analysis to optimize marketing campaigns and use neural networks to reduce repetitive tasks, saving teams significant energy and resources.

Despite requiring significant computing power, the transformative power of generative AI in content generation and natural language inputs is undeniable in enhancing business efficiency.

A crucial consideration for businesses adopting a new generative AI tool is how well the API will integrate with existing systems. We’ll dive into an example, ElevenLabs’ API, later.

The top 5 generative AI tools for businesses

Which generative AI tools stand out from the crowd? This section features a quick rundown of the top generative AI tools for businesses, from video creation and art generation to data analysis.

A versatile language model used for a range of business applications including customer service automation, content generation, writing code, and complex problem-solving.

Key features:

• Versatility: Can be applied to a wide range of tasks as an AI assistant.
• Ease of integration: Provides APIs that facilitate easy integration with existing business systems. A free version is available for prospective users to test the tool out.
• Advanced understanding: Capable of understanding and generating human-like text, improving customer interaction. Also, users can access conversation history so that no completed tasks get lost.

Cons:

• Cost: Usage at scale can become expensive. Large-scale code generation requires cloud storage space—which can be costly.
• Dependence on data: The quality of output heavily depends on the quality of input data.
• Complexity: Managing and fine-tuning the model requires specialized knowledge.

DALL-E is one of the leading AI image generators currently on the market. Another content generation tool developed by OpenAI, DALL-E uses a transformer based model for image generation to assist marketing and creative departments, such as advertising materials and product mock ups.

Key features:

• High-quality images: Generates creative, high-resolution images from textual descriptions.
• Boosts creativity: Helps creative teams in generating unique visuals quickly.
• Time-saving: Reduces the need for traditional graphic design processes.
• Free rate limited usage: Suitable for a range of enterprises.

Cons:

• Unpredictability: Sometimes the tool can generate inaccurate images, or visuals that don't meet expectations.
• Training limitations: Limited by the examples it was trained on and might not understand specific niche requests.
• Requires significant computing power: This content generation tool uses a transformer based language model, which may not be accessible to all enterprise scales.

For NLP tasks: Hugging Face

Hugging Face is one of the most popular generative AI tools. It provides access to numerous machine learning models, especially useful for businesses looking to implement natural language processing (NLP) tasks with a transformer based model, without building their own models from scratch.

Key features:

• Broad model library: Access to a wide variety of pre-trained models.
• Community-driven: Constant updates and improvements from a large community.
• Flexibility: Supports many languages and frameworks.

Cons:

• Complexity for beginners: This can be overwhelming for users new to machine learning.
• Performance variability: Different models may have inconsistent performance.
• Dependence on community: Quality and documentation vary by model.

For analytics: DataRobot

This AI platform enables businesses of all sizes to build and deploy machine learning models. It's particularly effective for predictive analytics in finance, marketing, and operations.

Key features:

• Automated ML pipeline: Streamlines the process of developing and deploying models.
• User-friendly: Designed to be accessible for non-experts.
• Scalability: Efficiently handles large datasets and complex models.

Cons:

• Cost: High price point for full features and scalability.
• Black box models: Some automated decisions are not transparent or easily interpretable.
• Integration challenges: May require adjustments in existing workflows and systems.

For audio creation: ElevenLabs

ElevenLabs multilingual text-to-speech (TTS) model is a generative AI tool that businesses can use to synthesize AI voices for content creation. Custom voices can be created in multiple languages for chatbots, agents, LLMs, websites, apps, and more.

Key features:

• Enterprise model: ElevenLabs has a business-specific model, offering enterprise-level benefits including high-scale capacity and early access to new features. 
• Easy integration: With detailed API documentation available, businesses can easily integrate ElevenLabs into an existing application. 
• Real-time latency: Due to a low latency model (Turbo v3), business users can generate audio almost instantly, helping to streamline any workflow.
• Language flexibility: The model supports multiple languages, making it suitable for global businesses aiming to reach a diverse audience.

Check out the video below to discover the capabilities of ElevenLabs' TTS Multilingual v2 model.

Cons:

• Higher usage costs more: The more you use ElevenLabs, the more you'll need to pay. However, there is a free plan for those who just want to test the waters before committing fully.

Ready to start testing ElevenLabs’ AI tools for your business? Sign up to access the suite for free.

How to integrate ElevenLabs’ text-to-speech API 

A simple three-step guide to using ElevenLabs' text-to-speech API.

1. Write (or copy and paste) some text that you want to turn into audio.
2. Enter the text into ElevenLabs’ powerful text-to-speech API. The Turbo v3 model will generate audio in real-time (due to a latency of ~400ms.)
3. Download high-quality audio that's immediately ready to use.

Final thoughts: Choosing a generative AI tool

Generative AI tools are quickly becoming indispensable tools for businesses looking to enhance innovation and efficiency. From content creation to data analysis, the best generative AI tools include DALL-E, GPT-4, and ElevenLabs. Some (like ElevenLabs) offer generous free tier cons, while others are limited to higher price points.

Of course, these are far from the only generative AI tools. You can even create AI chatbots and AI avatars to personalize customer interactions and free up humans for more creative work.

Ready to start leveraging generative AI for audio creation? Get started with ElevenLabs today.

FAQs