Dataflix: AI-powered Business Transformation and Automation

CIO VendorDheeraj Nallagatla, Founder
Over the years, organizations have adopted technology-driven processes to analyze data and obtain actionable insights to help their executives, managers, and other corporate leaders make strategic business decisions. However, with the abundance of unstructured data generated every day, the data analysis process becomes tedious. Organizational data scientists spend around 80 percent of their time in the data wrangling process: gathering, reading, and cleaning data. Consequently, organizations spend a significant amount of time in processing the raw data to get it structured for analysis. Besides, inadequate data cleaning frequently makes inaccuracies slip through the cracks, decreasing the efficiency of organizations. Dataflix, a California-based analytics and artificial intelligence (AI) solutions provider assists organizations by primarily focusing on data-driven business transformation and automation to derive the business value from data.

Dataflix offers a broad range of services and solutions to support the complete enterprise data lifecycle, enabling clients to transform their businesses to stay competitive and achieve impressive ROI. One of the firm’s key solutions, Data 360, is a collection of curated datasets intended for analytics and data science initiatives with the aim to solve the problem of data preparation, which involves searching, extracting, profiling, cleaning, aggregating, and preparing datasets. The organization’s evolving collection of curated datasets can be used for varied purposes including exploratory analysis, machine learning, deep learning, natural language processing, and more.
Data 360 is designed and built in the cloud and can thus be accessed using any web application or analytics platform through APIs or even with standard open database connectivity (ODBC) without moving the data between systems.

These capabilities prove significant for the automotive industry, which is undergoing major changes with regard to driverless cars, electric vehicles, fleet, and transportation. “These changes are resulting in huge data exploration. For instance, a fully autonomous car is expected to generate around 2500 GB of data every hour, and if combined with the power of AI, this data will open new opportunities for Auto OEMs. This is where we see a play for Dataflix,” explains Dheeraj Nallagatla, founder of Dataflix. Hence, Dataflix has built Safety and Behavior (SAB), a curated dataset that collects and integrates vehicle safety, drivers’ behavior, and auto sales data obtained from trusted data sources such as the National Highway Traffic Safety Administration (NHTSA), the National Center for Statistics and Analysis (NCSA), and the Bureau of Economic Analysis (BEA). SAB at present contains data spanning over past 40 years to accelerate advanced analytics and machine learning projects.

Dataflix’s AI-powered platform, Conversation 360 further enables organizations to create natural and rich conversational experiences for customers through enterprise productivity bots at scale. The platform allows clients to build bots for various purposes including customer support, IT help desk, HR, and more. The capabilities of this platform reflect best in a chatbot— Carsa—which was built on Conversation 360 for automotive OEMs. “Carsa helps Auto OEMs improve conversion rate delivering rich, informative, and consistent conversational experiences across all apps and platforms,” adds Nallagatla.

Considering the present state of the automotive industry, which is expected to witness the new vehicle sales of 17.4 million in 2018 and 17.3 million by 2020, OEMs can only grow by taking market share from each other. Thus, it’s going to be all the more important for these manufacturers to analyze a massive amount of internal and external data to gain a competitive edge over the competitors to guide their marketing and planning strategic decisions. Dataflix, with an in-depth understanding of the automotive sector, is rightly positioned to assist OEMs to not only manage data but also lead them toward using AI for driving innovations in operations and strategies.