17 AI Softwares in 2024

19 January 2024

[Image Source: Google AI]

Written by Pharis

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In the rapidly advancing realm of artificial intelligence (AI), 2024 witnesses a plethora of cutting-edge software that pushes the boundaries of innovation. From computer vision platforms to conversational AI chatbots, the landscape is diverse, catering to a multitude of applications. This article aims to provide an extensive overview of the most popular AI software in 2024, spanning various domains such as computer vision, natural language processing (NLP), machine learning, and cloud computing. Let's delve into the dynamic world of AI solutions that are reshaping the way we interact with technology.

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1. Viso Suite Platform: Revolutionizing Computer Vision

At the forefront of AI innovation, Viso Suite stands out as the world's only end-to-end computer vision application platform. Offering a scalable infrastructure, Viso Suite streamlines the development, deployment, and scaling of AI vision applications for major companies globally. Its revolutionary no-code and low-code tools, coupled with a modular approach, enable rapid application development and integration of the latest algorithms. Viso Suite addresses the challenges of scaling computer vision, providing essential features like device management, privacy/security capabilities, and remote monitoring.

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2. ChatGPT: Conversational AI Redefined

Developed by OpenAI, ChatGPT is a large language-model chatbot that has captured the imagination of over a million users. Trained on extensive data from the internet, including sources like Reddit discussions, ChatGPT excels in providing human-like responses in conversational dialogue. While its success is undeniable, major companies like JPMorgan Chase and Amazon exercise caution due to concerns about potential misinformation and the sharing of sensitive information. Despite limitations, ChatGPT continues to evolve, with a paid version, customization options, and a subscription service known as ChatGPT Plus.

3. Jupyter Notebooks: Powering Code-First AI Development

Jupyter Notebooks, a powerful open-source tool, facilitates code-first development for AI applications. Supporting languages like Julia, Python, and R, these notebooks provide an intuitive environment for writing and running code, making them immensely popular for AI applications, data exploration, and machine learning model development. Their versatility is evident in their integration into various platforms, including cloud services like Amazon SageMaker, Microsoft Azure Notebook, and Google Colaboratory.

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4. Google Cloud AI Platform: A Suite of Machine Learning Tools

For organizations built on Google Cloud, the Google Cloud AI Platform offers a comprehensive set of machine learning tools. Supporting a variety of open-source frameworks like TensorFlow and PyTorch, this platform enables developers and scientists to work on machine learning projects efficiently. However, as of August 15, 2023, Google Cloud is discontinuing its IoT platform, impacting Edge AI capabilities.

5. Azure Machine Learning Studio: Democratizing Machine Learning

Microsoft's Azure Machine Learning Studio simplifies the creation and deployment of robust machine learning models on the Azure Cloud. Supporting open-source frameworks like TensorFlow and PyTorch, this platform caters to users with varying skill levels, from developers to scientists. While certain services are free to start, a subscription-based account upgrade may be required for advanced features.

6. Infosys Nia: Simplifying AI Implementation for Enterprises

Infosys Nia is an AI software platform designed to streamline AI implementation for businesses. Offering solutions for machine learning, deep learning, and NLP, Infosys Nia automates repetitive tasks, allowing organizations to leverage AI on existing big data effectively. Pricing for Infosys Nia is available upon request.

7. Salesforce Einstein: AI-Powered CRM Analytics

Salesforce Einstein is an analytics AI platform designed for Customer Relationship Management (CRM). It enables businesses to build predictive models using machine learning, NLP, and computer vision. With pricing starting at $25 per user per month, Salesforce Einstein empowers organizations to develop AI-powered applications for enhanced customer engagement.

8. Chorus.ai: Enhancing Sales with Conversation Intelligence

Chorus.ai is a conversation intelligence platform tailored for high-growth sales teams. Facilitating real-time call recording, management, and transcription, Chorus.ai offers valuable insights to streamline communication processes and improve sales strategies. Pricing details are custom and available upon request.

9. Observe.AI: Real-Time Call Analysis for Improved Performance

Observe.AI is a call-analysis platform leveraging automated speech recognition to transcribe calls and enhance performance in real-time. Supporting both English and Spanish, it enables organizations to analyze calls effectively using advanced speech and NLP technologies. Pricing details can be obtained by reaching out to the Observe.AI team.

10. TensorFlow 2.0: Open-Source Powerhouse for Machine Learning

TensorFlow, created by Google, remains a dominant force in the AI landscape. TensorFlow 2.0, a python-based open-source platform, facilitates end-to-end numerical computation and machine learning model development. With its extensive capabilities, TensorFlow is free to use and boasts a robust community for support.

11. H2O.ai: Simplifying ML Model Training with AutoML

H2O.ai provides an end-to-end platform designed to make ML model training remarkably easy. Suitable for both beginners and experts, it supports various data types, including tabular, text, image, audio, and video. H2O.ai offers a 14-day free trial, and pricing details can be explored based on specific business requirements.

12. C3 AI: Accelerating Digital Transformation with AI SaaS

C3 AI, an enterprise AI software company, delivers AI software-as-a-service (SaaS) for building AI applications and expediting digital transformation. Offering solutions for multiple languages and commercial uses, C3 AI is tailored for large enterprises with substantial budgets.

13. IBM Watson: Automating Complex ML Processes for Businesses

IBM Watson empowers businesses with automation of complex machine learning processes, prediction of future outcomes, and optimization of employees' time. The platform supports a broad AI portfolio with pre-trained models and the option to train custom machine learning models. Pricing details are available upon request.

14. DataRobot: Accelerating Predictive Model Development

DataRobot is an automated machine learning platform designed for data scientists, developers, and business analysts. Facilitating quick and efficient development of high-quality machine learning models, DataRobot offers various subscription plans with pricing options, starting from $98,000 USD on AWS marketplace.

15. Tractable: AI-Driven Solutions for Accident Assessment

Tractable is an AI-driven platform focused on providing automated solutions for accident assessment in industries such as automotive, industrial, and insurance. Utilizing computer vision powered by deep learning, Tractable accurately estimates repair costs by analyzing damaged vehicles, streamlining claim processing.

16. Content DNA Platform: Video Content Analysis with AI

Content DNA Platform specializes in video content analysis, catering to broadcasters and telecom companies. Offering features like scene recognition and anomaly detection, this AI software is accessible for free for a limited period, with one-time setup fees for unlimited access.

17. Synthesia: AI-Driven Avatar Technology for Video Content Creation

Synthesia is an emerging leader in AI-driven avatar technology, transforming video content creation through generative AI. With over 120 AI voices and ready-to-use video templates, Synthesia's platform is priced starting at $265 per year, offering enterprise options for advanced features.