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Artificial intelligence has changed the world in very unexpected ways. Many individuals, particularly those in the younger generation, are unable to recognize it since they think AI has always existed. Businesses employ artificial intelligence to improve localized processes like manufacturing, operations, and customer experience. This has fastened the adoption of AI software tools which includes various products related to different aspects of artificial intelligence, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. AI software is a kind of computer software that enables the use of AI to handle vast volumes of data and perform activities that would normally need human intelligence. Image recognition, video analytics, voice recognition, text recognition, and NLP are a few examples of activities performed by AI software tools. This article will discuss the top 10 popular AI software tools for developers and data scientists looking to adopt new, emerging technology for innovation projects.
Content DNA is an artificial intelligence software platform that is specialized in video content analysis. The software is used by broadcasters and telecom firms to carry out a variety of video-related tasks, such as scene recognition, anomaly detection, and metadata enrichment. Even if you are not a trained professional, the platform is simple to understand and utilize. This is among the popular AI software tools on the lookout in 2023.
Jupyter notebooks are a powerful open-source software tool for code-first users to write and run computer code. The three primary programming languages supported by Jupyter, Julia, Python, and R, are referenced in the name "Jupyter." Using a notebook is simple since you don't need to write any more code to run code cells and see the results. As a result, Jupyter Notebooks are frequently used for machine learning model development, data exploration, algorithm prototyping, vision pipelines, and AI applications across the enterprise.
You receive a selection of several machine learning tools with Google Cloud AI. For businesses that chose to establish their platform on Google Cloud (GCP), it is a well-liked platform for programmers and scientists. Google Cloud's AI software tools let developers work on machine learning projects quickly and affordably. To create ML apps for computer vision, translation, natural language processing, video, etc., you can use a variety of cloud APIs that have already been trained. Almost all widely used open-source frameworks, such as PyTorch, TensorFlow, and scikit-learn, are supported by Google Cloud.
The only complete platform for computer vision applications is called Viso Suite. The solution offers software infrastructure for creating, implementing, scaling, and protecting AI vision applications (Get the Whitepaper). The Viso platform is used by some of the biggest businesses in the world to deploy and maintain their portfolio of computer vision applications. Here you may find case studies, AI initiatives, and business solutions.
A conversation intelligence platform called Chorus.ai was created especially for high-growth sales teams. It assists you with real-time call recording, management, and transcription while also enabling you to highlight crucial action points and issues. By examining your data, this AI program enables you to acquire really valuable insights. These automation technologies help sales teams plan and streamline their communication processes and carry out error-free follow-ups. Call recording, sales coaching, sales management, and other services are some of its features.
Observe.AI is a call-analysis platform that enables businesses to employ automatic speech recognition to enhance performance in real time while also transcribing calls. Both English and Spanish are supported by user-friendly automation tools. It makes it possible for companies and organizations to analyze calls successfully using the most recent speech and natural language processing technologies. Additionally, the product is compatible with other business intelligence programs.
Infosys Nia is an AI software platform created to make it easier for companies to deploy AI. It is beneficial for many jobs involving machine learning, deep learning, data management, natural language processing (NLP), etc. Infosys Nia gives businesses the chance to use AI on their already-existing massive data by automating routine actions and commitments.
The IBM Watson platform allows businesses and organizations to automate complex machine learning processes, predict future outcomes, and optimize their employees' time. With pre-trained models and the possibility to train a unique machine learning model, IBM provides a wide range of AI solutions for data analysis, pattern recognition, and prediction.
A complete platform called H2O.ai was created to make it remarkably simple for organizations to train ML models and apps. Utilizing AutoML functionalities enables both novices and specialists to create or train AI models. Various types of data, including tabular, text, image, audio, and video, are supported by the platform. Businesses may manage digital advertising, claims administration, fraud detection, sophisticated analytics, creating a virtual assistant, and other tasks with the aid of the open-source machine learning solution for corporations.
C3 AI, or C3.ai, is an enterprise artificial intelligence software company that provides AI software-as-a-service (Saas) for building AI applications and accelerating digital transformation. C3 AI Suite and C3 AI apps are two sets of AI software products offered by C3.ai.
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