Digital Transformation & Software Engineering Services
Artificial Intelligence and BPM

How AI and Machine Learning Are Transforming Business Travels

Disruptive technologies like Artificial Intelligence (AI) and machine learning are transforming business travels around the world, combining passenger experiences and travel data to derive valuable insights to enhance the entire travel experience. Although technological advancements have also led to reduced need for business travels with more remote meetings getting conducted, face-to-face interactions still hold a […]read more »
Tableau Online

Tableau Online – Data Visualization for All

One of Ness’s customers is an online retailer which relies on an Enterprise Data Warehouse and a Business Intelligence platform to support their data analytics needs and day-to-day business operations. The company faced several issues: Inability to get real-time data insights for various business performance metrics. The BI tool is used mostly for ad hoc […]read more »
Data Protection

The Impact of GDPR From a Technology Perspective – Is Your Platform Ready?

GDPR (the General Data Protection Regulation) is EU-wide legislation that will come into force on 25th May 2018. Much has been written about the impact it will have on business and the public sector, and the heightened obligations it mandates over and above existing EU country-level legislation (such as the UK’s 1998 Data Protection Act). […]read more »

Data Vault Architectures – The Benefits and Limitations

Enterprise needs for data architectures can be highly fluctuating and that’s why Data Vault modeling, with its flexibility to adapt to changing enterprise needs, is proving to be a favored option for many organizations. Where traditional data models would require extensive governance and testing, the Data Vault architecture makes data warehouses highly agile and enables […]read more »
Artificial Intelligence Culture

Building a Data-driven and Artificial Intelligence Culture in the Enterprise: A Winning Formula

At Ness, our enterprise customers are eager to explore their hidden treasure in the data that they have generated over the years. Market research shows a growing demand for data monetization, and estimates that the Big Data market will be $125B (USA, including hardware, software and services) by 2025 [Source: Million Insights]. In 2014, Big Data […]read more »
Autonomous driving

Sensor Fusion Algorithms For Autonomous Driving: Part 1 — The Kalman Filter and Extended Kalman Filter

Introduction Tracking of stationary and moving objects is a critical function of Autonomous driving technologies. Signals from several sensors, including camera, radar and lidar (Light Detection and Ranging device based on pulsed laser) sensors are combined to estimate the position, velocity, trajectory and class of objects i.e. other vehicles and pedestrians. A good introduction to […]read more »
JavaScript AngularJS framework

Representation of large corporate data in HTML tables under JavaScript AngularJS framework

In corporate or enterprise platforms, the representation of tabular data in single-page web apps is a common occurrence. There are challenges with the amount of data rows, the variety of data types, and number of simultaneous columns enterprise users wish to see. In addition, the perceived performance of tabular data in a client-side web application […]read more »

Cascading Lingual Makes it Easy to Migrate Enterprise Data Warehouse (EDW) to a Hadoop Data Lake

In the world of Big Data, companies are increasingly leveraging Cascading Lingual to facilitate the adoption of enterprise Hadoop because it makes it easy for SQL users to utilize their existing skills to quickly create and run applications on Hadoop. Bhushan Pargaonkar, Lead – Technical, explores Lingual’s heritage and the reasons that make it the […]read more »