Our Expertise in
Artificial Intellengence
Take advantage of SIRCO’s rich vast industry expertise to integrate Artificial Intelligence (AI) into your most important business processes. Both AI strategy consulting and implementation strategy are among the activities our AI developers are deeply involved and experienced in. Artificial Intelligence and machine learning algorithms will help you process unutilized or non-utilized data, identifying the trends, which would not be possible to a human being - and then make decisions to meet specific objectives.
Machine Learning
Algorithms can be incorporated into products and applications, to improve your business and processes and increasingly leading to smarter and amazing products.
- Analyze clients’ behaviors
- Discover patterns and anomalies
- Make predictions and decisions
Deep Learning
Deep learning, a subset of machine learning in artificial intelligence is a collection of algorithms used for modelling high level data abstraction and this techniques are all set to transform businesses, in ways never seen before. Deep learning is an important element of data science, which includes statistics and predictive modeling. Deep learning is evolving as a driving force behind solving challenges in areas such as:
- Build cognitive frameworks
- Mimic human responses
Natural Language Processing
Natural language processing (NLP) combines linguistics and artificial intelligence (AI) to enable computers to understand human or natural language input. Natural language processing supports applications that can see, hear, speak with, and understand users. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language.
- Extract data from texts and speech
- Generate meaningful texts
- Identify users’ emotions and context.
Predictive Analytics
Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. For many companies, predictive analytics is nothing new. But it is increasingly used by various industries to improve everyday business operations and achieve a competitive differentiation. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future.
- Predict business-related trends and actions
- Identify business-critical risks
- Identify customers that are likely to abandon a service or product.
- Send marketing campaigns to customers who are most likely to buy.
- Improve customer service by planning appropriately.
