The present digitalization of the world demands that businesses modernize their existing infrastructure, lest they fall behind in the race. At Marak Technologies, we understand how complex this situation can be for organizations, which is why we ensure to transform them by the application of intelligent systems that are capable of doing what humans can which are- listen, see, learn, and comprehend.
When we speak of intelligent systems for businesses, we are referring to the use of Artificial Intelligence technology. Our services in Artificial Intelligence in Shillong are focused to address real-world business problems. In a world where enterprises are struggling with technology, we help them embrace AI-powered products and solutions that can help them-
We are the go-to partners for businesses who want to build AI-driven smart businesses, In terms of Artificial Intelligence, we are adept in creating-
At Marak Technologies, we operate on creative ideas and tailored AI systems with active research on machine learning, including deep learning and complex algorithms. We apply machine learning to real business problems and our experience enable us to quickly and efficiently implement a wide variety of custom machine learning projects.
Marak Technologies is on the verge of transforming into an AI company, weaving AI to our customers’ business processes to help them achieve cost optimization, efficiencies, agility, and most importantly, deliver continuous value. Our services for Artificial Intelligence in Shillong applies deep domain expertise in AI technologies to uncover the unfulfilled needs of businesses while also solving some of their toughest problems in the process.
Whether your business is a startup or a large organization, the challenges that you face in creating a new Artificial Intelligence interface will be the same. Our team can help you develop artificial intelligence powered products and solutions as per your business requirements. We follow a simple 4-step process to develop intelligent solutions, which are –
It is an undeniable fact that the market for artificial intelligence (AI) technologies is flourishing. This fact can be backed up by a Narrative Science survey, which found that 38% of enterprises are already using AI, growing to 62% by 2018.
At Marak Technologies, we identify this fast-growing trend. We employ a plethora of tool and technologies that would enable you to be a part of this trend. Some of the AI tools and technologies we take advantage of are :
Natural Language Generation is a tool that enables you to produce text from computer data. This technology comes in handy for report generation and summarizing business intelligence insights.
It is yet another powerful tool that allows us to translate and change human speech into format useful for computer applications. This technology has found its use in interactive voice response systems and mobile applications.
A simple enough example of this technology is Amazon’s Alexa or Apple’s Siri. This tool can be implemented in developing simple chatbots to advanced systems that can network with humans.
Machine Learning Platforms are technologies that provide algorithms, APIs, development and training toolkits, data, as well as computing power to design, train and deploy models into applications, processes, and other machines. At present, this technology is used in a variety of enterprise applications, mostly involving prediction or classification.
An example of AI-optimized hardware is Graphics processing units (GPU) and other appliances which are specifically designed and architected to efficiently run AI-oriented computational jobs. At present, this technology is primarily making a difference in deep learning applications.
Deep Learning Platforms are a special type of machine learning that consists of artificial neural networks with multiple abstraction layers. Currently, this technology has primarily found its usage in pattern recognition and classification applications supported by very large data sets.
Biometrics are AI tools that enable more natural interactions between humans and machines, including but not limited to image and touch recognition, speech, and body language.
Natural language processing (NLP) uses and supports text analytics by simplifying the understanding of sentence structure and meaning, sentiment, and intent through statistical and machine learning methods. At present, this technology is used in fraud detection and security. It is also used in a wide range of automated assistants, and applications for mining unstructured data.
We like to define Artificial Intelligence (AI) as “a technology – hardware or software – that demonstrates intelligent behaviour.” “Intelligent behaviour,” here means the ability to calculate, understand, reason, plan, communicate, learn and perceive. There is no one type of artificial intelligence and it can be used for different purposes.
Machine Learning (ML) is an advanced form of AI that can learn by itself, rather than by human programming. Systems equipped with ML programs learn by experience, testing and adaptation; becoming smarter the more they observe.
Artificial Intelligence enables us to achieve things that we could not otherwise. An example would be that fact that AI is much better at identifying patterns and trends in large data sets, making it a potential powerful tool for businesses.
There are various applications for AI in business – from product development, sales and marketing, to logistics. Among its many applications, AI can be used to recognize different groups among your customers in order to target, to forecast the demand of products and services, to identify risks in your company’s supply chain well in advance and to improve the quality of lead generation.
here are limitless applications of AI in any business. However, AI technology today is often observed in the following applications :
Artificial Intelligence can work with any kind of data. In addition to typical business data such as sales figures, inventories and logistics, AI can also work with unstructured data such as e-mails and social media interactions.
Like any tool or technology, there is no point in using AI for the sake of it. For businesses, the value isn’t in AI itself, but the data that you can use it with. Approaching your data should not be any different to any other part of business. You should identify where all your different terminal of data are, such as in customer relationship management (CRM) systems, point of sale (POS) systems and content management systems (CMS).