An exponential increase in computing power and algorithmic advances have brought potential AI projects to life. Successful [artificial intelligence services](https://artificialintelligence.oodles.io/ "artificial intelligence services") require...
An exponential increase in computing power and algorithmic advances have brought potential AI projects to life. Successful artificial intelligence services require layers of human data, progressive neural networks, and a versatile programming language. While data proliferation has propelled machine learning, python for artificial intelligence has enabled businesses to achieve AI milestones. Let’s explore how python as a programming language is turning potential industrial AI projects into reality. Python’s Significance for Artificial Intelligence Simplicity, clarity, and easy debugging facility are the most essential characteristics of an effective programming language. Compared to other languages such as C++, Java, and the like, Python rules as a more understandable, portable, and adaptable language. Python is a versatile, high-level, interpreted, and general-purpose dynamic programming language. Its syntax and semantics focus on simplicity that encourages AI developers to use Python for building complex software architectures easily. The following advantages make Python the most favorable choice for AI development- a) Interactive- Enables real-time modification, bug detection, and interpretation of machine learning algorithms. b) Resourceful- Python contains a rich library of tools that support neural networks and Natural Language Processing (NLP) solutions. c) Flexible- Provides a variety of predefined environments to analyze data and test algorithms.
Industrial Use Cases of Python for Artificial Intelligence Healthcare Industry The rapid advancement in healthcare technology is fast approaching artificial intelligence for better diagnosis and timely treatments. Specialty care centers including pharma, radiology, and pathology are using computer vision and NLP services for- a) Quick detection of diseases and anomalies with AI-powered diagnosis of medical images like X-rays, CT scans, MRIs, etc. b) Healthcare bots are gaining momentum as they facilitate instant scheduling of appointments, medication assistance, and detecting life-threatening signs and symptoms.
Accenture’s AI Market Size Report projects the growth in the AI health market to reach $6.6billion by 2021.
How can Oodles AI assist healthcare centers with Python-based AI solutions? Our real-time computer vision capabilities enable digital healthcare portals to process electronic health records and medical images with precision. Our AI team combines NLP services with chatbot development to facilitate the following healthcare services- a) Real-time conversion of 2D medical images like X-rays, CT scans, MRIs to 3D representations for better detection and treatment of diseases. b) We integrate AI chatbots with dynamic NLP capabilities that are efficient at understanding, processing, and responding to specific medical conditions.
Travel Industry The AI-powered technological wave is gradually generating significant value for travel and hospitality businesses. Mckinsey’s Artificial Intelligence: The Next Digital Frontier report suggests that more than 50% of travel companies are investing proactively in AI-based technologies. Potential AI applications in the travel industry include- a) Predicting Travel Choices for Accurate Recommendations AI’s machine learning algorithm can be trained with large customer travel records to identify their travel patterns and recommend future destinations. Frequent travelers can be assisted with automated bookings and personalized services for an enhanced travel experience. b) Handling Customer Inquiries and Providing Suggestions AI chatbot development enables travel businesses to maintain better customer relations with instant and accurate responses. It is essential to embed Natural Language Processing capabilities in bots to accomplish contextual and complex customer interactions.
How can Oodles AI assist travel businesses with Python-based AI solutions? We, at Oodles AI, use predictive analysis to guide travel companies with customer-friendly travel plans to gain customer loyalty and improve ROI. With experiential knowledge in deep video analytics and NLP services, our AI team builds effective recommendation engines for- a) Personalized product offers and deals b) Advice on hotels and restaurants c) Weather forecasts d) Instant customer grievance redressal with AI-powered chatbots
Talk to our AI chatbot development team to know more about our Artificial Intelligence Services and use cases.
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"Artificial Intelligence With Python" will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.
Download Free Source code and complete tutorial of Real-time Vehicle Identifier and speed counter Using python and OpenCV. Some of the methods used to classify cars is to remember license plate numbers. The identification device for the license plate consists of three key parts: sensing, picture acquisition, and detection. Typically the component detecting the vehicle is focused on proximity or loop coil sensors and sends the signal to the component recording the picture to activate a video camera. After receiving the trigger signal from the sensing part, the image capturing part captures the image of the car using a high speed shutter to reduce blurring in motion. The portion of identification then scans the caught picture and identifies the numbers on the license plate.
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