Machine Learning – Powering the Autonomous Driving Assistance System (ADAS)
Autonomous Driving Assistance Systems (ADAS) are elaborate electronic systems that assist drivers, enhance driver, passenger, and road users’ safety, and in some cases, even assume control of the vehicle. The enabling technology allows computers on-board to observe and perceive the external environment using an array of internally fitted sensors and process the input data…
How Data Analytics, AI and ML can Help Auto Loan Companies Avoid Defaults and Build Customer Relationships
Times are tough for auto loan companies. Even before the pandemic hit the world, auto loan companies had started facing challenges. Customers were missing their auto loan payments. According to the New York Fed’s Household Debt and Credit Report for Q4 2019, the outstanding vehicle debt had increased by 68% compared to Q4 2008…
Why Only Lifelong Learning Can Build Enriching Tech Careers
When we are children, our brains are like sponges ready to absorb every detail around us. As we grow older, while our capacity to remember things decreases, our love for learning things doesn’t. This tendency is a boon for us all but especially for technology professionals! We say this because technology-related fields are constantly evolving…
The Next Wave of Manufacturing is Powered by AI, ML, And IoT
Like every industry, the manufacturing industry has transformed over the past few years – and the pace of transformation continues. However, despite the technological advancements, the manufacturing industry faces challenges such as talent scarcity, disruption in the supply chain, increasing competition, and rapidly evolving customer needs…
Predictive Analytics – An Essential Element for Today’s Data-Driven Enterprise
The digital economy is fast becoming one of the most prolific growth stories the business world has seen in history. Buoyed by the COVID-19 pandemic, most organizations have ramped up and accelerated the pace of adoption of digital transformation to meet the constantly evolving and dynamic aspirations of digital-savvy customers…
There are No (Micro) Managers at Ascentt – They are Facilitators
“When you tell people how to do their jobs, we get workers. When we trust people to get their job done, we get leaders.” At Ascentt, we pride ourselves on delivering high-quality work by having a keen eye for detail. This eye for detail, however, is achieved with great team enablement. Not micromanagement. We believe […]
Prescriptive Vs Predictive Analytics – Yes, there is a Difference
For manufacturers, the digital economy has turned up the heat for investments into data-driven business outcomes. At the heart of this initiative is the growing importance of analytics that empowers the workforce and decision-makers with knowledge on leading the way forward. It is estimated that the global market size for analytics in the manufacturing industry […]
How to Choose Between Cloudera and AWS for Your Data Analytics Initiatives
Automotive manufacturers have become data-driven. They use data to improve their production capabilities, enhance customer experiences, streamline the supply-chain process, manage their inventory and logistics more efficiently, and schedule planned downtimes better. With an increasing demand for connected and self-driven cars, automotive manufacturers must focus on data analytics initiatives. Manufacturers have been gathering data through […]
The Growing Interest in Cognitive Analytics in the Automotive Industry
A large chunk of data that organizations possess today is in the raw or unstructured form. Apparently, 80% of the enterprise data is unstructured, and it is growing at the rate of 55% and 65% per year! Manually processing this unstructured data to understand the hidden context from every piece of information is a Herculean […]
Understanding Diagnostic Analytics in the Context of Smart Manufacturing
The manufacturing sector is often considered one of the pivots of growth for any developing economy. From job creation to producing more efficient machines, the sector offers a diverse range of use cases that have a significant economic impact. Additionally, the manufacturing sector is also witnessing a fair share of innovations in its core operational […]