We use Natural Language Processing algorithms, neural networks and machine learning for speech and audio recognition with high levels of accuracy.
We use our ML techniques and algorithms such as Regression, Decision Tree and others to help you make the best use of your digital data.
We use our expertise in Natural Language Processing and Machine Learning to help create and train chatbots for multiple business use cases.
Using our expertise in deep neural networks, our experienced team can tailor the right AI Based solutions for your company and business context.
From personalized image processing and face recognition to behaviour pattern extraction, we have expertise in end to end solutions around image processing and analysis.
At Adorebits, we can help you extract rich, relevant and real time data from images and videos using our expertise in computer vision technologies.
Natural Language Processing is all about how well the computers can analyse, understand and generate insights from the natural human language.
Predictive Analytics uses vast pools of data, statistical techniques and Machine Learning algorithms to make useful and insightful
Sentiment analysis helps any brand or business understand the social or public sentiment by monitoring and analysing conversations that happen online.
These days, lack of data is not a problem but analysing it to find unique insights is a major challenge. That’s where datamining can be extremely useful.
Based on the developments in machine learning techniques and increase in the availability of data, it has now become possible to classify different kinds of data
Pattern Recognition is one of the most popular use cases in the market when it comes to application of Machine Learning and Artificial Intelligence techniques.
Artificial Intelligence and Machine Learning are harbingers of a new age of digital revolution that will transform the way companies work. At Adorebits, we want to help you leverage this significant technology potential and manifest it in terms of tangible business benefits.
The ability to process vast quantities of data is now helping sales teams spot patterns and trends in customer data. This means efficient lead scoring mechanism and combined with predictive analytics, it allows sales teams to go after opportunities that convert.
Additionally, predictive analytics is also instrumental in sales forecasting and identifying sales techniques that work best for particular segments and geographies. This can significantly improve sales strategies and give a much-needed sales boost.
With Artificial Intelligence, companies and enterprises can now process and understand customer preferences. This means Marketing teams are now able to deliver omnichannel personalized messaging and experiences that lead to customer delight.
Additionally, as the algorithm gets better at learning customer preferences, it increases the opportunity to cross sell and up sell by giving personalized recommendations.
AI powered chatbots have already started revolutionizing the way customer service works. By providing an interface that interacts with the customers at all times, chatbots have significantly helped companies.
Additionally, by leveraging the power of natural language processing techniques as well as advanced data processing, these chatbots can be the perfect personal assistants guiding each customer throughout their journeys.
AI and Machine Learning based solutions are instrumental in optimizing business processes by eliminating human errors, automation of routine tasks and speeding up the overall outcomes.
With the help of advanced algorithms, businesses can automate routine tasks and remove manual intervention. This will significantly reduce time taken to finish tasks and consequently speed up business processes.
The ability to process huge quantities of data and track patterns along with predictive data analytics will allow decision makers to make accurate and fast decisions that will improve business metrics.
The ability to understand large and complicated data patterns will help businesses in pursuing new opportunities.
The first step is to identify and acquire the necessary data sets and data sources from the client.
Once we have the necessary data, we go through the data preparation process by eliminating unnecessary details and ensuring that it is ready for further processing.
We understand the data sets and we understand the business problems to be solved. Based on that we then decide which ML algorithms and models will fit best for the particular situation.
In this step, we finally apply ML algorithms and AI techniques on the selected data and assess the performance and results.
Once the data is assessed and analysed, we then find out how the data can be interpreted and what the results mean for the business problem.
Once the model is finalized and the results are as per expectation, we then integrate the models into the final software solution and proceed with deployment.
It has been already established that in the 21st century, data is the most sought-after currency. However, the real impact and potential of data for businesses, enterprises, and start-ups will depend on how they can leverage this data. That’s why Artificial Intelligence Development is of paramount importance. With the power of AI, business owners can start analyzing this vast amount of data and use it to drive actionable insights, make better decisions and solve business challenges. Moreover, AI will enable companies to automate routine tasks which will further allow employees to focus on high-value work. This ensures better business outcomes and offers companies much needed competitive edge in their respective industries.