Digital Transformation & Software Engineering Services
maximize value of your data

Ness Panel Session: Maximizing Revenue by Unleashing the Latent Value of Your Data

I recently chaired two panel sessions on a hot topic that cuts across all industries and sectors: the core role that data plays in creating the seamless digital experience consumers demand. Whether it’s analytic insights, machine learning engines that can chat with users or a personalized online experience for consumers – it all starts with […]read more »
e built a dummy Facebook app and asked our company’s employees to install it. When we checked our database, we were amazed to discover that Facebook had given us good personalization information

Controlling the Power of Social Media Data

Nearly 10 years ago, I ran research and development for Data Persona, a startup that provided personalization as a service for media web sites, using customer data obtained from several sources including social media. To test the product, we built a dummy Facebook app and asked our company’s employees to install it. When we checked […]read more »
Data Ingestion

Best Practices in Data Ingestion

Organizations are generating large chunks of data every nanosecond. These data points serve as the backbone of all major business transformation initiatives – helping derive deeper insights for providing superior customer experiences, improved products and personalized offerings. Yet, for data to be useful, it is important that it is accessible, clean and abundant. Data ingestion […]read more »
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 »