Blog

From the General Manager

John Terry, EinNel Technologies

"Investment in infrastructure is a long term requirement for growth and a long term factor that will make growth sustainable"

- Chanda Kochhar

Due to the pandemic, we at EinNel have adopted to the new normal by enforcing several essential and effective changes in the IT infrastructure by modifying it to attain the ‘anywhere operation’ for having smooth and hassle-free functionality. This operation will aid in creating a decentralized work environment thereby enabling easy collaboration across multiple teams and provide secure remote access to all the EinNel employees. Along with empowering the employees, the ‘anywhere operation’ will also help us to always provide our customers with seamless support and services.

The hybrid IT infrastructure is also being established at EinNel by using high - performance desktop & laptops, network switches capable of handling heavy traffic, robust desktop security along with full guarded firewall and network - security, and powerful network server. The infrastructure also includes high-capacity storage server, sophisticated Workstation Virtualization (VMs), best graphical processing units, highly scalable rack-serves with top-notch cooling systems and online UPS for a well-established Data Centre.

From the Director

Merlin S, EinNel Technologies

"The hardest part of AI and analytics is not AI, it's data management"

- Greg Hanson

Since 2012, our software team has been providing engineering solutions to automotive design centers, manufacturing industries and other process industries. We have developed data-driven & AI based application for various scientific products. With our experience in building AI models, we have realized that data engineering is the crucial step in development of data-driven platforms. Hence at EinNel, we have built a strong team in data engineering adopting the latest digital technologies.

Domain Expertise is incredibly important to develop an innovative product in a specific domain, therefore we have put enormous efforts in developing data platforms which are domain centric. Currently our team is working on EinNel MDOx which is a data-driven platform designed to accommodate all the data relevant to the development of new vehicle. We strive to build a robust big data management system for storing domain-based model data in different data types and structures by availing technologies such as cloud data warehouse, data lakes, Apache Spark, and Kafka. By storing data with these systems, we will be able to quickly traverse through millions of data and support multiple workloads. It has also been a great experience for our team to design the pipeline that ingest data from static systems, process and transfer data between heterogenous data systems.

The automotive industries have a huge data collection pertinent to vehicle design, testing and field failures. Most of the data are scattered in heterogenous systems as flat files and dump files. The data interpretations and understanding of vehicles are mostly dependent on human knowledge gained over years of experience that could lead to errors and have no guarantee of accuracy. However, what if the automotive industry were equipped with big data management system and smart AI-based analytics that holds the ability to sift through countless relevant data and immediately produce the needed accurate responses instantaneous?

EinNel MDOX offers the solution that not only makes it easier to store & manage the big data, along with making smart design and strategic decisions but also reduces the product development cost and time. The robust data engineering and AI & ML solutions in the MDOX platform help the user to retrieve relevant data and identify the patterns, connexions, and anomalies to present the significant insights and predictions, required for making smart decisions.

This AI-based intelligence empowers decision-makers of the automotive industry in vehicle design, testing and service domains  with reliable predictive insights to make smarter and faster decisions. When AI-based data-driven solution is used as an operational imperative, it will create an enduring impact due to its ability to process huge and complex data and help engineers in the process of design and development. EinNel MDOX holds the potential to revolutionize the future of the automotive industry by enabling the engineers to overcome several design and development obstacles.

As Steve Jobs aptly quipped, “Let’s go invent tomorrow instead of worrying about what happened yesterday”, we at EinNel have conceived an idea, we believe, will bring about a significantly positive change of paradigm in the automobile industries. Even though the traditional approach of simulation-driven design has adequately upheld the industry for decades, the current need and the rising demands in the market have called for new and enhanced measures. Thus, the concept of data-driven design & simulation was birthed, with the ultimate-aim to provide engineers a better solution at a much faster rate and at a mitigated development cost. EinNel MDOX is being developed to provide a universally accepted platform that offers highly accurate predictive analytics by combining the derived real-time and simulation data from numerous cases and samples, thereby making the process of designing and optimizing, both faster and easier. These acutely reliable analytics will enable the engineers to visualize the future design that are backed up by several proven test statics, more vividly and profoundly.

EinNel Technologies presents a webinar on Android Programming 

Date: 13th & 14th August, 2020
Time: 10:00 a.m. to 12:00 p.m. IST

Speaker:
Karthikeyan, ME - Senior Android Developer, EinNel