Artificial Intelligence and Machine Learning Development Services

AI and ML are not only limited to prediction and classification. Following are a few other use cases where it can be used and implemented:

• Image Processing (Correct image quality, Image Analysis, Image Synthesizing, Image Captioning)
• Text Generation (For Q&A, Chatbot Response, Text Summarization)
• Video Processing (Identifying actions and humans present in the video, Video summarization)

The success of AI and ML model is based on data. For Deep Learning operations, approx 1500 units of the data point, including images, documents, and reviews are required for specific AI-based training/ testing and validations.

Any data which can be converted as well as represented into numerical representation can be worked used for AI and ML. Here is the list of such types of data:

• Tabular data
• Text
• Image
• Video
• Graphs

• Unavailability of a large number of training samples
• Labelling of Data - As deep learning and conventional machine learning algorithms are supervised, i.e., they need data and their label to capture the semantics of work to be done. It is a manual process and eats up much time than actually building models. It also adds biases in data as humans are prone to error when it comes to accurately annotate data, e.g. Annotating car parts for detecting damage. Model build with such data generally doesn't converse with reasonable accuracy.
• Adopting Generality - Ml/DL algorithms are not able to produce the same results when deployed to different scenarios than the scenario used while training. So, to make it work in a different situation, retraining model is required
• Unable to explain what is going on inside the model and hence challenging to debug. However, various analytical tools can help with this.

A RestAPI based URL can be generated and integrated into the application, which will call underneath ML implementation by passing the required parameters.

Implementing AI and ML Solutions comprises two phases:

Phase:1 Building model, training model, testing model and hyper tuning

Phase:2 Deployment model in a production environment

For Phase-1, we need to set cloud base cluster of servers with GPU/TPU to enable machine (Although you can set one machine). It'll take time for training in case of an image, text-based data processing with one machine. To reduce the training time, it's advisable to use a cluster of servers for distributed service. following factors need to calculate in the training phase

• Costing for the numbers of devices for the training phase – Hourly base
• Network I/O
• Costing for the numbers of devices for the prediction phase

AI and ML generated the likelihood of something as output instead of exact output. For, I.e. It is difficult to tell which team will win the EPL league. However, based on past data and other contextual data, the model can predict that so and so the team will have a 95% chance of winning.

Well, we have incredibly talented and seasoned AI and ML developers who have in-depth knowledge and extensive experience in building the next-generation solution with desired features and seamless performance. AI and ML developers at HaptoTech have an average experience of 4+ years. Hire experienced AI and ML developers from us for top-grade AI and ML development services to achieve desired business results.

For sure, AI and ML developers you hire from us will dedicatedly work on your project as your employees only. You will have the total access and complete control on them through your convenient communication platform.

Definitely yes. We will. Hire AI and ML Developers from us to work according to your time zone (EST/PST/CST/MST), deadline and milestone. To know more get in touch with us at solutions@haptotech.com

Our AI and ML developers do! Be assured; our AI and ML developers and designers are well-versed with developing search engine friendly websites keeping all the SEO aspects into consideration that includes, Server-side rendering, interactive and emerging UI and UX trends, utilizing schema mark-ups for rich snippets, creating crawlable site structures along with URLs to make your website more SEO-friendly.

At HaptoTech, we provide three types of hiring engagement models.

Monthly basis -160 Hours a Month. 8 hours a day, 5 days a week

Hours/ Month- We use time tracking tools like time doctor, hub stuff for time tracking

You can share your requirements with our team. Our team will evaluate your requirements and then get back to you with the detailed estimation of your project along with time and cost as well as the roadmap of the project.

At HaptoTech, we use industry-standard project management tools like Jira, Trello, Pivotal Tracker, Asana, etc. Where you will be able to track the productivity of hired AI and ML developers and monitor the daily progress of your project. You can create the task, assign the work and follow the development progress.

Yes, You will have 100% ownership of your AI and ML project. It includes NDA, copyright, source code, intellectual property rights, etc.

Yes, we have. Interestingly, our skilled and experienced developers have worked upon many projects and ensured smooth transition & efficient processes for our many clients. Get in touch with our expert at solutions@haptotech.com us at HaptoTech to know more about the services we provide & how many projects we completed till now.

Here is a simple procedure we follow once you start your project with us:

• Understand your existing project requirements & work done by the other service provider.
• Provide a Full Stack developer or a team with the same skill set you require in your project
• Provide progress report & manage daily Stand-up calls with our Project Managers regarding the work.
• Last but not least, we will give our best to make your expectation for a smooth transition possible.

First of all, this will never happen. Client satisfaction is our highest priority. Either Party to this agreement may terminate the contract, with or without cause, by providing at least 14 days (2) weeks written notice to the other Party. Upon termination of this agreement, the HaptoTech shall deliver a termination invoice for work completed to date, which shall be paid by the client (in 3 business days). The Termination invoice shall specify all unpaid work and the remaining amount of the work done till the termination date. On termination, all work completed to time shall be delivered to the client in a usable electronic format.