Future of Work
We work with industry leaders and our existing customers to explore synergies on changing technology landscape.
Connect with usAs the technology landscape is moving from Mobile-first to an AI-first world, businesses are recognizing the need of dedicated artificial intelligence teams. Lots of scholars and business leaders argue that in the immediate future, all the tech enabled businesses will have ‘Chief of AI‘. We are working with our customers to research how Data Science and AI applications will impact their businesses.
Data Science & Macine Learning @ Venture7®
As the future Data Science projects will scale to new heights, more human experts will be required to handle highly complex tasks very efficiently. However, according to the McKinsey Global Institute (MGI), the next decade will witness a sharp shortage of around 250,000 Data Scientists in the U.S. alone.
With the quality of the algorithms maturing and affordability of tools on cloud, we are deploying machine learning algorithms for predictive data insight. Our teams are trained to use all leading cloud platforms to deploy the big data and process it for meaningful business insights.
Chatbots Defining The Future of Work
We see AI transforming every industry. Peek inside an AI-enabled hospital, an AI-assisted retail store and a predictive analytics system that talks. Pursuing the same goal, we are implementing chatbots across industry verticals; be it a mobile app for services, a user interaction with healthcare companies or brokers reaching out to their realtor. We work in line with our customer requirements to design various chatbots on leading platforms to help them grow their businesses. Our chatbots can be integrated with websites or even with other messenger apps like WhatsApp, Facebook.
You May Like This

A Journey in Community Building: A Case Study
Today, we will show you how to create communities. We also back our teaching with real-life case studies. We will explain how a startup utilized the power of community to compete against major players such as Apple and Google. Furthermore, we have also walked you through their journey of entering a category that typically required […]

QA and Software Testing Trends in Healthcare
There is a great need for innovation in the healthcare industry today because applications are being developed to aid patients in getting the care and service they need at any time and anywhere. Glucose monitors, wearables, EHR, medical research software, telemedicine, appointment management, medical diagnosis, and e-prescribing are just a few of the many healthcare […]

Strategic Quality Management
In March 1980, Richard W. Anderson, general manager of Hewlett-Packard’s Data Systems Division, detailed that subsequent to testing 300,000 16K RAM chips from three U.S. also, three Japanese producers, Hewlett-Packard had found wide aberrations in quality. At approaching examination, the Japanese chips had a disappointment rate of zero; the similar rate for the three U.S. […]

RPA or AI, Which is better?
Considering the question of whether RPA or AI which is better, it’s important to understand that while both technologies involve automating tasks, they have different approaches and purposes. AI involves creating intelligent machines capable of emulating human reasoning, learning, and problem-solving. This entails employing intricate algorithms and data analysis to enable machines to learn from […]

Augmented Reality-The Next Big Thing In Retail Sector
The retail industry works with many aspects of the organization and needs to alter its operations as per the changing dynamics of the business environment. Augmented reality is one such technology that is highly being implemented within the retail industry that has made it possible for consumers to have in-store like experiences and the retailers […]

Data Federation Vs Data Integration Approaches
Today, large enterprises require a huge amount of data that need to be stored and analyzed. This data can be obtained from varied sources and requires different systems to produce and store, which may lead to inefficiencies in the process, which in turn, can lead to the loss of critical data. Let’s understand how much […]