Stimulating innovation that is beneficial for every sector. The result-oriented solutions are highly reliable and effective for long-term business goals.
Constant cutting-edge technological assistance that leverages up the business and creates a potential ambiance for the business to grow further more.
Proper digital integration accelerates innovation, improves efficiency and enables new business models that have greater chances to thrive than traditional branding methods.
Itilize is started with a vision. The vision is to build a platform that would integrate technology and business seamlessly. Since change and innovation are the only constant, we constantly strive to find ways to use our talents and technical resources to help ease the complication of business companies and improve the business community and contribute to the welfare of the public. The priority of our team is not only on the sophistication of our process and tools, it is also aimed at giving the best possible service to clients.
Whether bringing a new product to market, or modernizing a mature product, we have the skills to help you deliver a better outcome in a shorter period of time.
We use the latest technologies, toolkits, and modern software development practices so you can focus your energy on product vs. process.
Our industry competencies enable us to better understand your business so we can help you define and deliver on your next great idea.
CLIENTS
PROJECTS
POSITIVE FEEDBACKS
PRODUCTS
Construction Cost Manager Application
Avant-garde cost management engine allowing construction managers to evaluate materials, suppliers, contracts, and cost anytime and anywhere.
Marketplace Application
Real-time product search and compare tool bringing an all-in-one solution to home and office supply shoppers.
ALM Data Vault Implementation
Latest data streaming technologies applied to enhance quality, accuracy, and security of data transfer between organizations and departments.
Combating Opioid Addiction
Utlizing data visualization and statistical analytics to enhance public health research capabilities.
Drug Brand Marketing Analytics
Data exploratory driven marketing analysis helps pharmaceutical companies to target at the right market.
On-going Data Science projects
Leading data science, predictive analytics, and deep learning practices in medical, clinical, manufacturing, supply chain, and financial area.
Why augmented reality is becoming mainstream, in the Manufacturing industry?
POSTED BY: William Tsu
Augmented reality is the latest technology that blends digital & analog worlds, for the ease of workings in the manufacturing industry. Augmented reality offers more ideas as well as opportunities for entrepreneurs to lighten their work-load while improving the quality of products. 3D models could be referred to as one of the initial augmented reality tools, which were used in the manufacturing industry. With the help of augmented reality, more innovation was brought to the forefront....
Bot Architecture on Azure Explained
POSTED BY: Billy Yann
Software technology has been on the rise in the 21st Century. The latest technology in the mix is bots. Websites are employing intelligent robots or bots to deal with potential clients and customers. These bots provide a customized experience in which, the clients or customers feel they are dealing with an actual person rather than an intelligent robot. The bots people deal with on various websites are known as chat-bots, as they essentially chat with potential customers or clients and pass on the information they are seeking.The conversation with bots can be of 3 categories that include text, interactive cards or speech....
Tips to Design Microservices Architecture
Microservices are observed to contain elements that are independent of each other, which work together. Here, these elements can be updated separately according to various custom requirements. Efficient microservices have bounded contexts in them so that, it is easy to update and function. The interaction between microservices and its controlling elements are strictly through API; there is no transfer of data schemes or data structures between them. It is advisable to create separate data storage for each backend of microservices....
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