At Quantega, we have it clear right from our planning phase itself that disjointed efforts, which take up ad-hoc projects, inhibit real evolution.We take a big picture approach, we introduce the cutting edge technologies steadily across all domains, synchronizing them with each other as we go. We make sure that our front, middle and back offices are connected and are on the same page throughout the process.Such approach has helped us to have an all-encompassing and robust digital transformation. The pace of implementing  new technologies is high in Quantega and we expect it to become faster with time. We have taken our first step towards keeping this process scalable and agile by implementing this culture of agility and creativity. As time goes on, we expect even more stunning results from this sustainable and well-constituted culture.

We believe in moving ahead of the game and helping our clients do the same as well. Which is why, we employ the most cutting-edge technologies as soon as they’re made available from day zero. We  train our employees develop an entrepreneurial mindset. This means, one gets to learn to identify problems around us all and work in their area of expertise to develop solutions that could not only be monetized for profits, but could potentially change the world. We believe that the distribution of wealth is as important as its creation. A strong sense of social responsibility is therefore an integral part of our value system. At Quantega, with every solution we offer, we strive to make history - creating technologies that don’t just shape the future of industries, but shape the world.

Quantega’s reach is extended to over 28 different locations around the world, serving various clients in various industries and technologies, catering to their specific needs and that too flawlessly. Quantega helps businesses and organisations leverage Digital Transformation in areas like Customer Experience, Business Efficiency & Business Innovation by taking a complete view of Disruptive technologies.

We provide IT solutions for various verticals like Education, Gaming, Media & Entertainment, Robotics, Manufacture, Logistics, Travel and Transport, Data and Network, Social Applications, Energy Management, Aerospace, Agriculture, Banking & Finance and Life Sciences.

Quantega’s Education services collaborates with schools, research institutions, universities, and companies to meet learning objectives. We combine classroom learning with digital techniques for knowledge sharing. We develop learning portals and migrate content to third-party learning, talent, and performance management platforms.

Education

With the implementation of big data analytics, institutions can work on highly customized promotions like grants and scholarships thus laying the firm foundations of academic relationships. Quantega can even assist institutions in offering campus tours to students through VR headsets and virtual lectures. Post enrolment in college, institutions can also offer customized learning sessions, gamified approach to education, remote teaching, and learning and personalized scholastic guidance to students that will enrich and enhance education. Our approach encourages the adoption of learning tools for continuous learning. Further, our frameworks to analyze the effectiveness of learning and targeted interventions can help maximize the return on education investment.

In Agriculture using AI and Big Data

Quantega helps the community of farmers embrace technology to increase crop yield, mitigate risks of successive harvests and rationalize operational costs. We combine real-time data from Internet of Things (IoT) devices, wireless sensors, geospatial systems, and weather stations to respond to dynamics of soil, moisture and crop across plantations. Our scientific farming approach maximizes profitability of herds by optimizing veterinary care.

Our mobility solutions integrate geospatial imagery and data for smart agriculture, livestock management and logistics. AI based predictive analytics platform, combines big data with machine learning capabilities to predict animal illness, crop stress and breakdown of farm equipment. It facilitates targeted applications and variable tariffs to maximize value per acre.

We modernize the agricultural supply chain by integrating individual parts across the crop lifecycle. Supply chain visibility and traceability systems establish best practices and address sustainability requirements.Our Collaboration tools engage stakeholders, including input suppliers, food processors, distribution channel partners, regulators, transporters, export houses, packaging units, procurement companies, and commodity traders. We support remote operations, incident management, route optimization and campaign management through our mobile enabled applications with configurable widgets.

With technologies like drones, intelligent monitoring systems, and robots making into field trials, it is quite that artificial intelligence will bring the dawn to ultra-precision agricultural. Using the aid of smart machines and crop up farms, farming processes have become highly data-driven, and data enabled. Big Data is expected to have a major impact on what is called smart farming and will revolutionize the whole supply chain.

Smart Farming focuses on the development and emphasizes the use of information and communication technology in the cyber-physical farm management cycle. This means to leverage technologies like Internet of Things and Cloud Computing and introduce automation through robotics and artificial intelligence.

The cyber-physical management cycle of Smart Farming enhanced by cloud-based event and data management (Wolfert et al., 2014).

AI in agriculture is emerging in three major categories:

Agricultural robotics
Soil and crop monitoring
Predictive analytics.

The following are the recent advancements in agriculture sector:

1. Automatic Harvesting: Eldert van Henten is an agricultural engineer at Wageningen University in the Netherlands. He states that Humans are still better than robots. However, there is a lot of effort going into automatic harvesting.

The Netherlands is working on an automated sweet-pepper harvester. The challenge is to precisely identify the pepper quickly and avoid cutting the main stem of the plant. The solution of the problem lies in fast, precise software. Similarly in the United Kingdom, Green has developed a strawberry harvester that allegedly can pick the fruit faster than humans. The harvester operates on stereoscopic vision with RGB cameras in order to capture depth.With the help of the robust algorithms, it can pick a strawberry every two seconds. It is much faster than an average human output that is about 15 to 20 a minute.

2. Preventing Infestation: Studies of the Food and Agriculture Organization of the United Nations suggests that 20–40% of global crop yields are damaged each year due to pests and diseases. Intelligent devices, such as robots and drones, could allow farmers to slash agrichemical use and spot crop enemies earlier to take specific actions.

Drones, mounted with RGB or multispectral cameras will take off and identify any pest or a problem. These cameras are also capable of collecting data from the invisible radiations of the electromagnetic spectrum. Thes can allow farmers to pinpoint a fungal disease.

3. Animal Tracking: Smart collars are a bit like the wearable devices designed for human health and fitness. These have been used to monitor cows in Scotland since 2010. These collars were created by Glasgow start-up Silent Herdsman. The collar monitors fertility by tracking activity; cows move around more while they are fertile. The collars use this to alert the farmers to when a cow is ready to mate. It is done by sending a message to either their laptop or smartphone. The collars which are now being developed by Israeli dairy-farm-technology company Afimilk after they acquired Silent Herdsman last year. They are now able to detect early signs of illness by monitoring the average time each cow spends eating and ruminating.

Media

The emergence of multiple devices and channels has reduced customers’ attention spans and fueled the demand for fresh content. The challenge for media companies now lies in creating a unified value proposition to reach out to the connected customer. To facilitate engagement, they must provide differentiated user experiences through media applications, contextual applications, and next generation user interfaces. Our Next Generation User Experience service leverages best-in-class services to help media houses reduce their content production costs and improve digital revenues. Next generation solutions improve campaign effectiveness while expanding International coverage.Virtual reality opens a great deal for Businesses all over the world. The threats to its development are quite negligible and the advancement of its technology is proceeding at a massive rate. VR will certainly overcome the social stigma around it owing to its massive essentiality. It will be employed consistently at both homes and workplaces to enhance work efficiency and productivity.  

Searching life beyond earth

AutoNav uses an autonomous driving technology. Research Technologist Masahiro Ono claims that autonomous driving is a decade old technology since AutoNav rovers were landed on Mars in 2004. The surface of planet Mars is rocky and full of dunes. Thus the algorithms used must be robust to meet the requirements of the inhospitable terrain. AutoNav also powers Curiosity, the first autonomous rover on Mars.

NASA developed spectroscopy instrument to search for extraterrestrial life. The device is capable of detecting compounds and minerals with higher efficiency and sensitivity as compared to existing tools. It identifies organic compounds such as the amino acids found in living things. These findings of minerals formed by biochemical processes on Earth can be used to indicate life on other planets. The technique is known as micro Raman spectroscopy, and it uses the interference between laser light and the sample. This is used to calculate chemical composition information on a microscopic scale.

Adequate healthcare distribution to poor and needy

The healthcare industry is witnessing rapid changes with the expansion of digitization in both provider and payer segments. Implementing AI in the industry can solve various problems. We aim to go beyond EHR (Electronic Health Record) provisions, and hold the objective to provide excellent micro-data that has been efficiently captured, and insightful to drive the change in the rural healthcare scenario of India. In fact, Quantega’s EHR system will be practical. That means it can be accessed via multiple platforms, admins, and will not require data migration or formatting for other platforms for access. Apart from this, we are enabling chronic care management interventions via the telehealth technology, emergency care services by allowing remote specialist access in real-time, patient home monitoring between medical visits, online therapy and remote counseling for various conditions.

Quantega’s healthcare and life science solutions offers a host of solutions and services to combat with the increase in number of informed consumers, developments in regulatory requirements and value based medicine. With the power of advanced technologies like IoT, cloud, big data and analytics, Quantega has helped pharmaceutical industries to demonstrate value based healthcare and develop a channel where patients can be involved in creating decisions.

Arterys is a privately held medical imaging company based in San Francisco. Researchers at Arterys have developed a deep-learning algorithm which has been approved by the FDA in January. It uses an algorithm called “DeepVentricle” which analyzes MRI images of the interior contours of the heart’s chambers.  It calculates the volume of blood held and pumped by patient’s heart within 30 seconds. It is comparatively much faster as the conventional methods can take up to hours.

Verily, Google's former Life Sciences division collaborated with Nikon to enhance the screening process for diabetic retinopathy and macular edema. These algorithms detect causes of blindness in people with diabetes. Nikon is responsible for "optical engineering and precision manufacturing" to work on the hardware aspect whereas Verily, is in charge of the machine learning technology.

The da Vinci robot is a robotic surgical system made by the American company Intuitive Surgical. It was approved by FDA in the year 2000.  It is widely used to perform Minimally Invasive Robotic Surgery.
This device allows surgeons to manipulate dexterous robotic limbs. This allowed doctors to perform surgeries with fine detail and in tight spaces which were rather difficult to be done by human hands.

Energy management/ distribution

 

Quantega provides smart energy management services to effectively monitor and remotely control energy consumption and infrastructure. Our services leverage convergence of automation technologies, control systems and security systems to enable enterprises in gaining competitive advantages. Development of control system platform, integration of Building Systems, Energy analytics and end-to-end product design, development, sustenance and performance engineering services are also performed to provide intelligent energy management services. With the advancement of IoT, collecting data has become easier, as devices are programmed to record the slightest amount of data generated, and communicate with each other. This can be deployed to monitor and control energy usage.  In the time, predictive analytics is helping enterprises to source energy from utility providers, at much lower rates.

IoT coupled with analytics provides an integrated view of energy usage across various parameters thereby maximizing their benefits. Sensor-based data acquisition generates actionable insights through cloud-based data analytics engines helping enterprises visualize their energy consumption.

Probabilistic Energy Forecasting uses Machine learning. It is used to predict all the points that are known or any estimates regarding the future events.

The following are some machine learning algorithms which can be used for Energy Forecasting:

Artificial Neural Networks
Clustering Algorithms
Regression Models

Following are the advantages of using Deep learning in Energy management:

Solar Power Forecasting: This includes forecasting the probability distribution of solar power generation at multiple solar farms on a continuous basis.
Electric Load Forecasting: The method aims at continuously coming up with the probability distribution of hourly loads.
Wind Power Forecasting: This aims at forecasting the probability distribution of the wind power generation for multiple wind farms.
Electricity Price Forecasting: This includes forecasting the probability distribution of the electricity price continuously at multiple locations.

Hassle free transportation by designing the robots

Automated driving and artificial intelligence brought the possibility of safer transportation by solving the traffic problems. Artificial Intelligence focuses on addressing the following major problems:

Automatic car control: WEpods is a system of automated electric vehicles. These vehicles can be called using a smartphone. The WEpods were the first vehicles in the world without a steering wheel which were given license plates. WEPods, have been deployed on public roads in the cities of Ede and Wageningen.

It uses the following techniques:

Deep Learning: The method is widely used for vision-based systems. Thee computers teach themselves about the world through deep learning. This develops appropriate response systems required for automated driving systems.

Data Driven: The automated system works with pre-existing data statistic and makes appropriate decisions. Using these algorithms, the WEpods can build the entire picture of the environment while it is traveling through traffic.

Thanks to the GPU-powered computer system the WEpod can assess its environment at a higher rate that makes the real world calculations more dynamic and responsive. The calculation strength has made the system more secure and reliable.

Traffic design: Conventional approaches of using artificial neural networks with narrow network architecture and existing training samples for supervised learning are widely used to determine the traffic conditions in a specific location. Through deep learning, the computers can predict the respective behavior of traffic and suggest routes to maximize the potential.

Road design: Depending on the trends of the traffic routes and congestions. AI can be used to design alternative routes and paths to divert the traffic to save resources like gas and time. The automated tools understand the traffic requirements and suggest appropriate road network.

Heading toward eco-friendly world or green world

As already discussed, AI is capable of regulating the amount of pesticide used and can auto-detect the pest or fungal infection beforehand. This has improved the quality of life of farmers and projected an eco-friendly model. Limited usage of harmful chemicals in farming is an important step towards overall improved consumption.

Artificial Intelligence has revolutionized the existing system by

Less emission: AI can be used to make power plants, data centers, energy grids and manufacturing plants more efficient. Optimising these energy-intensive operations means we can now use power more efficiently. Hence, fewer greenhouse gases are emitted.

Regulated consumption: The United States incorporated human monitors to check the usage and practices at the coasts. In the Pacific Ocean, from the Philippines to Hawaii where most of the world’s tuna harvest is derived, only 2% of fishing operations are monitored. This leaves a significant threat of over-exploitation.

Satlink is high definition camera that can be used to solve this problem by automatically monitor the coasts and have on board all legal vessels. The camera footage can be checked, GPS coordinates can be taken into account and facial recognition matched with listed fishers. Through connections with AI social media only authorized fishers can be permitted at sea. Similarly, technologies can be included to record the procedures allowing the government and industry authorities to accurately manage the species that are being fished.

Genetic invention

AI gives the following advantage in Genetic Inventions:

To fight cancer: A system equipped with artificial intelligence can look at a tumor biopsy and diagnose its type. Algorithms give a more accurate diagnosis which is unbiased and can pick up on subtle features. These features can be challenging to spot with the human eye. AI is also being used to explore new treatments of the diseases and understand the corresponding responses of the body. The process of finding new drugs involve searching across thousands of reports and images. This can take many months of work. Using new techniques of AI and deep learning the process can be done in a couple of days.

To fight HIV: High genetic variability is one of the most significant challenges faced in the treatment of HIV. It’s challenging to make antibody-based drugs fast enough to keep up with a virus that’s continuously shuffling around its genome. To minimize the extent of the spread AI needs to target the chain through which HIV spreads among the population. There is a nationwide opiate and heroin addiction crisis. This is a significant source of HIV infection spreading caused by needle sharing. AI will be used to construct a nuanced, informed assessment of many different such forces and factors. The existing volume of multivariate data can be used to track the changing rates and develop tactics to battle against the spread. The technology will be used to deploy deep learning and neural nets to check out the patterns and change the subtypes of HIV.

Social

We do not formulate our services only for businesses and enterprises but aim to impact the NGO with the advancement in the technology. The implementation of AI, blockchain and Big Data can have an amazing change and help them do more. Blockchain can support various NGOs in tackling their complex issues. With our social applications, there is hope for people to become financially independent and have their documentation to be secure. We aim to help NGOs make use of blockchain for their publicly documenting situations where large numbers of people interact with each other and enhance the transparency in the cases like land tenure, property rights, birth records, and advocacy initiatives. We embrace responsibility to create a positive impact in the communities in which we work and live. We support the less privileged sections of society , create opportunities and strive towards a more equitable society by organising events in the area of healthcare, education , arts , culture and rural development.

Smart Village

A large population of our country lives in cities. Hence the researchers as well as the government concentrates its efforts towards the development of smart cities which are self-sustainable and technologically advanced. We believe the same idea can be applied to transform villages into smart villages. Sensors and devices will be connected to the Internet and produce huge amounts of data which can then be stored and processed on Cloud servers. This data can further be analyzed for finest usage using Big Data analytics tools like Hadoop. The eventual goal is to achieve smart homes, weather systems, education, surveillance systems, and smart agriculture. Security is also a matter of concern for villages as there is lesser number of lights, police stations are far off and the villages are located away from the main cities. Due to these factors, the smart surveillance systems are needed in villages. These will work on the basis of the data generated by sensors and cameras along with emergency buttons located in different parts of the village. In case of a theft or robbery, the nearest emergency button can be pressed and it will send an alert to the nearest police station. The data generated by the cameras can be used to locate the thief thereafter. The data can also be analyzed to avoid such incidents in the future. The education can also be improved by incorporating IoT which brings together different technologies like Internet, Mobile and smart devices and hence assists in the learning process.

At Quantega, what we value above all, is innovation. We take pride in the fact that we have made  an environment available where innovative ideas are revered and our employees and clients alike feel confident enough to come ahead with it.Our accomplishment is the culture which fosters the creativity of all affected and provides them with a platform where they are heard, without any premonitions; and where the only factors that matters are improvement and Innovation.