AI has revolutionized industries with its ability to enable predictive analytics, natural language processing, computer vision, and robotic process automation. Its potential to unlock new insights, enhance customer experiences, and increase efficiency is unmatched.
KEY TERMINOLOGIES
STEPS TO USE AI
Adopting AI doesn't have to be complicated. At Dahooks, we work with companies to understand their unique needs and develop custom AI solutions that fit their specific requirements.
Key steps involved to use AI for any business
1Identify areas where AI can make an impact
2Determine the right type of AI solution
3Gather and analyze data
4Develop and train an AI model
5Implement and monitor the AI solution
AI platforms provide ML model building tools and APIs for integration into other applications. They can be industry-specific or general-purpose, and deployed on cloud, on-premises, or edge devices. Platforms offer both graphical user interface and command-line interface. They provide a range of options for developers and organizations to leverage AI in their applications and services.
GPT 3.5 and 4
Codex
DALL E
Vertex AI
Cloud Vision
OpenCV
Cloud Natural Language
Cognitive Services
Bot Framework
AI FOR BUSINESS
OUR SERVICES
AI Strategy and Consulting
Tailored solutions for organizations to leverage artificial intelligence, optimize processes, enhance decision-making, and achieve competitive advantages.
Data analytics and insights
Data analytics and insights involve analyzing data to extract valuable information and make informed decisions for business improvements.
Natural Language Processing (NLP) Solutions
AI techniques analyzing, understanding, and generating human language, powering chatbots, language translation, sentiment analysis, and more.
Computer vision and image recognition
AI field, interpreting images/videos, extracting info. Image recognition: Identifying objects/patterns in images using ML algorithms.
Robotic process automation (RPA)
Automates tasks with software bots, mimicking human actions for increased efficiency and accuracy in business processes.
Predictive analytics and modeling
Predictive analytics and modeling use data to forecast future outcomes and make informed decisions for various industries and applications.
Machine learning and deep learning
Algorithms learn from data, make predictions, and improve performance through experience without explicit programming.
Sentiment Analysis Solutions
AI-based tools that analyze text to determine emotions (positive/negative/neutral) for business insights and customer feedback.
Voice enabled AI Solutions
Voice-enabled AI solutions enable natural language interaction with devices, using speech recognition and AI to perform tasks and answer questions.