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Artificial Intelligence Can Improve Your Business in Many Ways
Reducing Human Labor
Using AI leads to reducing human labor, especially in handling repetitive tasks.
Cost Savings
A one-time investment in AI will be more cost-effective than hiring a full-time worker, as AI and machine learning can automate labor-intensive processes without harm to quality.
Minimizing The Risk
By providing the ability to analyze various unstructured data, AI can identify patterns related to past incidents and predict future risk factors.
Real-Time Decision Making
Artificial Intelligence increases the efficiency of decision-making processes as it constantly evaluates data coming from multiple sources, providing stakeholders with precise and real-time insights.
Artificial Intelligence – Consulting in the field of AI solutions
What AI consulting services can you expect?
Origen offers unique AI consulting services that will help you realize how many opportunities come from implementing AI solutions into your business.
Artificial Intelligence influences most industries, among the most popular are: retail, eCommerce, manufacturing, finance, healthcare, marketing, and gaming sector.
Comprehensive AI Plan
AI strategy is a comprehensive plan developed by organizations to leverage artificial intelligence (AI) technologies effectively for their goals and objectives.
An AI strategy outlines how AI will be integrated into various aspects of an entity’s operations, innovation, decision-making processes, and overall business or societal objectives.
Our team develops customized AI solutions based on recent technologies.
Our team specializes in developing customized AI solutions, leveraging the latest technologies available. We implement solutions based on high-tech solutions such as Computer Vision, Natural Language Processing, Predictive analytics, Image Recognition, Recommendation Engines, Smart Search Engines, and many more.
The biggest advantages of AI are self-learning capabilities and scalability.
It gives SaaS applications the ability to use algorithms for thousands of customers.
Due to the fact that AI learns the history of all users, it gives amazing opportunities for the Marketplace. One of the examples is using a recommendation system based on the preferences of each individual person.
More than 9 in 10 leading businesses have ongoing investments in AI.
Artificial Intelligence consulting will help you discover how AI can benefit your company.
Tools and frameworks for AI solutions
Python – Python is considered the most popular programming language in the Data Science area mostly because of its quite straightforward and easy-to-read syntax. Still, the benefits of using it in building Machine Learning solutions are numerous. This language has a large and active community that develops and maintains a wide range of libraries and frameworks specifically for Machine Learning and Artificial Intelligence, which provide pre-built algorithms and tools for building and training models. Python is a versatile and flexible language; it can be used in scientific computing and web development, which makes it a great choice for building ML models, often requiring a mix of programming, data analysis, and visualization.
R – With built-in statistical functions, R was made specifically for machine learning applications. This language also has an extensive library of data visualization tools, which makes it easy to create charts, graphs, and other visualizations of data. Moreover, R has an interactive console that allows users to explore data and experiment with different analyses and models in real time, enabling Data Scientists to test different models and approaches. R - as well as Python - can be easily integrated with other tools and languages, such as Python, SQL, and Hadoop.
PySpark – PySpark – used to transform data. It enables you to run AI applications on billions of data on distributed clusters 100 times faster than the traditional python applications.
Hadoop – Hadoop – is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides massive storage for any kind of data, enormous processing power, and the ability to handle virtually limitless concurrent tasks or jobs.
TensorFlow – TensorFlow is an open-source machine learning library developed by Google Brain Team, used to build and train machine learning models, including deep neural networks. It provides high-level APIs such as Keras that make it easy to build and train models without needing to write complex code, visualization tools, and pre-built models and datasets.
PyTorch – PyTorch is also an open-source machine learning library, yet it is was developed by Facebook's AI Research team. PyTorch allows Data Scientists to prototype and deploys machine learning models using Python. It is used in various applications such as computer vision, natural language processing, and reinforcement learning.
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