The growth rate for AI and ML has been significant in recent years and is expected to continue to increase in the future. According to a report by MarketsandMarkets, the global AI market size is expected to grow from $16.06 billion in 2020 to $190.61 billion by 2025, at a CAGR of 42.2% during the forecast period. This is driven by the increasing adoption of AI in various industries, such as healthcare, finance, and retail.
Similarly, the global machine learning market size grew from $1.03 billion in 2018 to $8.81 billion by 2022, at a CAGR of 44.1% during the forecast period, according to another report by MarketsandMarkets. This is driven by the increasing use of machine learning in areas such as predictive analytics, natural language processing, and computer vision.
We work closely with our clients to understand their specific requirements and develop customized solutions to meet their goals.
We have expertise in developing various types of machine learning models, such as supervised and unsupervised learning, reinforcement learning, and deep learning.
We develop NLP models for tasks such as language translation, text classification, and sentiment analysis.
We develop models for image and video analysis, object recognition, and facial recognition.
We develop models that are able to make decisions based on input data, these models can be used for tasks such as fraud detection, anomaly detection and predictive maintenance.
We develop chatbots and virtual assistants that are able to understand natural language and provide relevant responses.
We also develop AI platforms that enable organizations to manage, monitor, and deploy AI models at scale.
Our AI development services can bring numerous benefits to your organization. Here are just a few ways you can benefit by working with us
By automating repetitive tasks, you can free up your staff to focus on more important and strategic work.
Our AI models are able to process and analyze large amounts of data quickly and accurately, which can lead to better decision making and fewer errors.
With our AI-powered chatbots and virtual assistants, you can provide your customers with 24/7 support and quick and accurate responses to their inquiries.
By automating tasks, you can reduce labor costs, and by improving the accuracy of decision making, you can reduce costs associated with errors.
By leveraging AI and ML, you can stay ahead of the competition by developing new products and services, improving efficiency, and gaining insights that would be difficult or impossible to obtain otherwise.
With our AI Platform development services, you can easily scale your AI models to meet changing business needs.
Our AI development services are highly customizable and can be tailored to meet the specific needs of your organization.
We understand that AI development is a continuous process and we are committed to providing continuous support to our clients to ensure their success.
Our AI-embedded applications can help you to extract useful data from large input datasets.
At Idea Usher, we take a holistic approach to AI development, working directly with our clients to comprehend their unique demands and develop solutions that deliver real results. Contact us today to learn more about how we can help your organization benefit from AI and ML.
At Idea Usher, we use a variety of AI technologies to deliver high-quality solutions to our clients.
Our AI tech stack includes the following
We use Python as our primary programming language for AI development. Python is a popular and versatile language that is widely used in the AI community, and it has a wealth of libraries and frameworks that support AI development.
We use popular machine learning libraries such as Tensorflow, Keras, Pytorch, and scikit-learn. These libraries provide a wide range of tools for building, training, and deploying machine learning models.
We use popular NLP libraries such as NLTK, spaCy, and gensim to develop NLP models. These libraries provide a wide range of tools for text pre-processing, tokenization, and sentiment analysis.
We use popular computer vision libraries such as OpenCV, dlib and scikit-image to develop computer vision models. These libraries provide a wide range of tools for image and video processing, object recognition, and facial recognition.
We use popular deep learning libraries such as Tensorflow, Keras, and Pytorch to develop deep learning models. These libraries provide a wide range of tools for building, training, and deploying neural networks.
We use cloud platforms such as AWS, GCP, and Azure to deploy and run our AI models. These platforms provide a wide range of tools for managing, monitoring, and scaling AI models.
We use AI platforms such as DataRobot, Alteryx and RapidMiner to develop and deploy AI models. These platforms provide a wide range of tools for building, training, and deploying AI models.