Articles

From the Co-Founder’s Desk

Nelson Joseph G, EinNel Technologies

“The only skill that will be important in the 21^st century is the skill of learning new skills”.

 - Peter Drucker.

We live in a generation that changes both constantly and precipitously and to keep up with the advancing technology remains a persistent challenge as companies are facing huge skill gaps among their workforces. We are currently amid the so-called fourth industrial revolution which is a fusion of artificial intelligence, robotics, digital twin, and other technologies that are developing rapidly.  Therefore, the most important skill we must all acquire during these times is learning how to learn in order to adapt to the changing nature of industrialization.

The significance of upskilling and reskilling is often underestimated in the organizational bodies. However, at EinNel we highly value the importance of constant and continuous mentoring and training for both our fresh graduates and experienced software developers by taking new initiatives to bridge the gap thereby providing excellent workforce support to our clients. EinNel has rolled out several on-the-job training (OJT) programs for fresh campus hired graduates along with numerous learning & development programs and for experienced employees through online courses in combination with real-life lectures and seminars.

At EinNel, we follow a strategy of Job Enrichment by increasing the skill variety to the existing jobs, peer coaching by mentoring each other and we solve problems as a team. We also hire external Subject Matter Experts (SMEs) to team with our employees and creating new and advanced opportunities for upskilling in diverse vectors. Employees who have knowledge of certain skill sets take the responsibility of transferring that knowledge to fresh graduates. This culture helps us to build stronger and more efficiently functioning teams and satisfy our customers with advanced and reliable services. We began the strategy of upskilling from the beginning of 2021 with the aim of equipping our people with a broader scope of knowledge across various domains that we believe are critical for our client requirements. Some of the technological areas focussed upon, include:

1. Data Engineering and AI/ML solutions for automotive, manufacturing, healthcare, and other process industries
2. Digital twin development for process industries
3. Advanced C++, Python for scientific application development
4. Business Intelligence
5. Advanced web/mobile application framework to build AI application
6. DevOps, MLOps for modern AI application deployment
7. Data-Driven CAE

I would like to thank all our directors and managers for taking the initiative to roll out the upskilling strategies within EinNel Technologies. I am confident that this process will inspire our employees and bring innovation to life at work.

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.