Aventior architects design and builds a solution to integrate local storage appliances with the scale of the cloud for one of the top data storage companies in the worldOpportunityIn the age of information, where do we keep all the dataData storage is a critical aspect of any business.Businesses of all sizes are faced with an increasing amount of data, and it is not only attributed to economic growth – companies are constantly discovering new ways to leverage data to refine their products, services, and analyze customer behavior, which means more data needs to be both captured and stored.It allows businesses large and small to simplify data management, maximize server performance, back up critical data, and increase application availability.For this reason, the use of storage area networks or SAN remains common when it comes to enterprise data storage management solutions.SANs are essentially dedicated networks connecting data storage tools with larger networks, facilitating the pooling of storage among data centers.However,companies that specialize in enterprise storage solutions have now caught on to the potential benefits of integrating locally hosted storage appliances with the benefits offered by cloud storage solutions.ApproachIntegrating local storage appliances with the scale of the cloudThe solution developed by Aventior would utilize a combination of AWS CloudFormation and AWS IoT Greengrass to create a dynamic and infinitely scalable architecture to support the desired functionality.AWS CloudFormation allows the use of programming languages in the modeling and provisioning of the resources needed for applications.
Since the inception, the most widely used techniques for inspection are the manual inspection which includes either foot patrol or/and conventional helicopter-based inspection.The detailed approaches used for segmentation, object detection, and anomaly detection are described in the following section.Powerlines SegmentationThe Powerlines Segmentation is used to separate the powerlines (the power transmission cables) from the entire image so that an inspection algorithm can just focus and analyze only the power lines while staying unaffected by the surrounding or the background of the powerlines.It consists of convolutional layers on skip pathways which bridges the semantic gap between encoder and decoder feature maps, thus aiding in improving the gradient flow.DatasetsDataset 1:We have obtained 200 Visible Light (VL) spectrum images from the https://data.mendeley.com/datasets/twxp8xccsw/1.It consists of 200 images of size 512×512, along with the binary wired image masks for all the input images.Dataset 2:The other set of images was obtained from https://data.mendeley.com/datasets/n6wrv4ry6v/8.Further, data augmentations were carried out on Dataset 2 same as Dataset 1.Training and Segmentation Methodology Nested U-Net architecture, as the name implies, makes use of nested and dense skip connections between encoder and decoder apart from the typical skip connection used in U-Net Network.Like the IoU, they both range from 0 to 1, with 1 signifying the greatest similarity between predicted and truth.
Resolution Reconstruction of Urban Images (Satellite Images) using AIIt is said that “A picture is worth a thousand words”.Computers can understand these images in terms of color values at a pixel level, and the features of the contents.The CV has now become a popular topic of academic and industrial research applications.The quality of the image is dependent on the sensors which capture these images, and sensors can be very expensive if extremely high image quality is expected.With Artificial Intelligence (AI) it is now possible to improve the image quality up to a certain extent, without much loss of data.The quality of images produced by sensors is limited, mostly due to sensor hardware limitations which cannot be much experimented with, as the sensor hardware is a costly piece in the system.One such important type of enhancement is resolution improvement, especially in the field of Satellite Imagery.In satellite images, the image resolution denotes the distance on the ground that is captured by each pixel.
It is easy to log in to the app rather than logging into their website via desktop.He can also get feedback for the services provided and clock-in his work hours.Payment Facilitation using the SmartphoneCash-free transactions are been encouraged across the world.They can choose the number of assignments they want to take-up & also cater to their personal responsibilities simultaneously.Airbnb, for example, allows house owners to confirm guest booking & receive payments easily through their smartphone when they would be trotting across the globe.Beneficial for Business OwnersThe business owner need not invest in office space & get infrastructure for freelance workers or contractors.Businesses save a huge amount on office space rentals & other infrastructure.Businesses can invite quotes from professionals across the world & get quotes as per their budget.
In today’s world, advancement in technology is resulting in customers expecting a very intuitive shopping experience.Digital eCommerce platforms and application leaders should focus on these key capabilities which will impact its future.Technology will help them differentiate from their competitors and attract new customers in the following ways: A B2C experience has become ubiquitous, and today all B2B customers expect a B2C shopping experience.Capabilities need to be prioritized based on “business value” and “ease of implementation”.Digital eCommerce capabilities that will not add significant business value to end customers and have higher implementation costs should be pushed back.A customer experience that incorporates interactive and conversational visual interface has a bigger impact on the conversion funnel.Unified commerce experience across all channels and throughout the customers’ shopping journey offers flexibility and consistency to deliver a superior customer experience.New business models such as IoT enabled eCommerce, enterprise marketplaces, subscription and replenishments can help companies move toward digital eBusiness from a completely new perspective, there are new digital technologies which can enable these capabilities with a faster time to market.AI (Artificial Intelligence), personalization engines, guided selling, API-oriented architecture, and product configurators are key technologies and architecture that enable compelling customer experience and digital business models.Persona and scenario-based customer experience coupled with new eBusiness models have a critical impact on the success of digital e-commerce.Persona-based customer experience not only differentiates digital e-commerce offerings but also results in increased conversion rates and repeat purchases.Digital e-commerce is getting more visual.People can find similar products using visual search.They can buy directly from streaming video with identifiable goods or from social media images using buy buttons, or view customizable products in 2D/3D using configurators.
In spite of rising demand for the creation of digital data directly at the source itself, some companies follow the traditional methods of documenting the processes parameters on paper, on designed forms.This leads to data being inaccessible for others unless it is again digitized by someone.Keeping data on papers has its own set of limitations like limited accessibility, searchability, using data for analytics, etc.Digital Transformation of DocumentsThe digital transformation of such documents is necessary.The manual data entry process consumes valuable time and effort from the scientists while explaining the entire process of data entry to new interns consumes time from the team.With advancements in the software industry, there have been multiple attempts to solve these problems, but each solution comes with its own set of limitations.Robotic Process Automation (RPA)Robotic Process Automation (RPA) is one of the closest successful solutions in helping companies convert their data from papers to structured digital formats.The software tries to identify the set of parameters on the image, which need to be translated into the structured database.
Biotech, Pharmaceutical, and Life Sciences companies face significant challenges in integrating data from a variety of sources.Drug research and testing is one of the biggest data producers and the inability to ingest, structure, and search data from labs, CROs, and the field make data interpretation a highly inefficient process.Aventior’s DRIP uses a combination of complex machine learning (ML) and rule-based algorithms to automate the data ingestion, integration, and formatting.Using proprietary pattern recognition algorithms and metadata comprehension, DRIP builds a consolidated database of research data and lab results.Irrespective of the nature of the source data (structured or unstructured) DRIP is capable of transforming the source data into a usable format while maintaining strict control over the quality of data transformation.The platform also enables data visualization and exploration using its own extension, that can be hosted on cloud platforms.DRIP also supports integration with some of the leading data visualization platforms such as TIBCO Spotfire and Tableau or custom R/Shiny applications.
Augmented reality (AR) enhances the objects around you which gives you an interactive experience with the real environment.The best example of Augmented reality is Pokemon Go wherein you could find and capture the imaginary animal on busy streets using your smartphone.Augmented reality isn’t a new concept.Few examples of apps that use AR are IKEA, Google Sky Map, L’Oreal make-up, and SpotCrime.AR can help in patient education where doctors can explain surgical procedures easily.The problem can be shared in real-time and the issues can be resolved at the earliest.Life-saving informationAugmented reality helps to store crucial life-saving information on apps.During an emergency, one can have access to such an extremely life-saving piece of information.Benefits for nurses & surgeonsIt is tough to find a vein to draw blood from the hand or to inject intravenous shots.
Geospatial IntelligenceDelivering world-class geospatial intelligence that provides a decisive advantage as well as real-time insights for the oil & gas, utilities, geoportals, smart cities, insurance, logistics, and agriculture sector to support data-driven strategic and operative decision making.Aventior offers geospatial solutions with accurate data mapping and management services, horizontal and vertical integration of Satellite/Aerial Remote Sensing, Positioning Applications, and Satellite Imagery based Multi-Class Object Detection.We offer services in photogrammetry, GIS, and surveys in industries such as oil & gas, utilities, geoportals, smart cities, insurance, logistics, and the agriculture sector.We derive actionable intelligence by employing an intelligence-led approach to data science and machine learning techniques, resulting in a higher degree of clarity and confidence in decision management.We look deeper, using pattern-of-life analysis and intelligence expertise to statistically describe normal operations in an area, corroborate social media and reporting agents in near real-time, and identify behaviors that put assets at greater risk.
With the advent of vaccinations, we can see some hope at the end of the tunnel.Now the next series of questions that arise are about the distribution of vaccines, their drug toxicity, and if the vaccines can be modified for better results if required.The data-sets are processed & analyzed in a manner to provide valuable evidence for the betterment of healthcare services.The importance of RWD and RWE has been recognized by researchers, doctors, and pharmaceutical companies for a while.These data-sets have been a valuable source of information for decision-making.RWE opportunities but not without riskDue to the urgency to find a solution for the virus, researchers have extensively used the evidence to use existing drugs to treat the virus.But a few studies have shown reliable results.There could be long-term health consequences for people who have contracted the coronavirus.The effect of vaccination is yet to be seen.
The data is sourced from medical data records like prescriptions, lab reports, government datasets, surveys taken by the patient, data from device registries, clinical registries, and more.
Real-World Evidence (RWE) is defined by the US Food & Drug Administration (FDA) as “the clinical evidence regarding usage and potential benefits or risks of a medical product derived from analysis of real-world data.”
The actual usage of this evidence is to bridge the gap between the research results and the actual usage results of various medical products used by people.
Pre-trial research in Life Science studiesThe researchers benefit from RWE and can form an accurate pre-trial design, as they can include various pre-trail criteria.
They develop a product or medicine and RWE helps them to get a real-time preview of their products.
This leads to further research and development of the products.
This simplifies the approval granting procedure.
Automated Batch Record Processing for Pharma and Biotech
Continued Process Verification (CPV) is the assemblage and evaluation of end-to-end production elements and processes data to guarantee the output of the product.
FDA published a report in 2011, demarcating best practices for validating business processes in the pharmaceutical industry.
In this report, CPV is outlined as the 3rd stage in process validation.
The main objective is to guarantee that all business processes are in a constant control state and hence guaranteeing the quality of the final product.
The standard procedure of data collection is crucial for the effective implementation of CPV.
CPV Automation solution is a hybridization of AI and human intervention for digitizing batch records.
Some of the applications include Buildings detection, Sport-Facilities detection, Vehicles detection, and Ships and Airplanes detection.
The SIA platform is capable of processing aerial and satellite imagery in RGB mode and is capable of processing images and videos that have 55 cm or less in resolution (Ground Sampling Distance - GSD).
These include SaaS-based access, API based data service, and Product embedding.
Sports Facilities Detection
Detect sports facilities like soccer fields, baseball parks, tennis courts and stadiums.
The USR module within SIA is an image per-processing sub routine that has been configured to process images of cities, towns and suburban locations to improve the Ground Sampling Distance (GSD).
It is an effective alternative to image enhancement that uses heuristics instead of commonly used weighted algorithms.
Digital & Mobility Solutions
In today’s world, Digital Transformation begins and ends with the customer.
The digital transformation has proved to be a major opportunity for many sectors that have taken their business online leaving behind the traditional practices of brick and mortar operations.
The pillar of digital transformation is understanding the future of technology i.e considering the fact that how we can make the most of the technology being used.
As we are firmly established in this digital age we support businesses with the best possible options.There are many real-life examples where digital transformation technology has proved to be a boon.
The primary sectors benefiting from Digital Transformation include E-commerce, healthcare, banking, hospitality management, supply chain, training, etc.
However, technology and security must go hand in hand as we move forward in this digital era.
It is a sweet abode for trees, animals, reptiles, insects, etc.
Unfortunately, this sweet abode is cut down for various other purposes like agriculture, recreation facilities, residential areas, etc.
Deforestation leads to global warming.
When these forests are cut down, imagine the amount of carbon-di-oxide let into the atmosphere.
Thus, it leads to drastic climate changes such as areas receiving high rainfall will gradually face drought conditions.
Can there be alternatives to prevent such deforestation and still help build a livelihood for all?
Data Engineering & Visualization
Offering a holistic approach to data engineering, enterprise test data management, and data visualization that covers all the technical drivers required to fully capitalize on your enterprise data resources along with constructing interactive data visualizations and dashboards that help customers in making efficient data-driven decisions.
Aventior offers solutions to help companies to predict demand patterns, solve their data challenges, improve end-user satisfaction, and guide through business strategies based on intelligent insights.
Our data engineering team analyzes unstructured, semi-structured, and structured data with the right processing tools, technology, and approach.
Aventior provides services for complete data lifecycle management, including data acquisition, storage, modeling and consultation, ETL processing, building pipelines, migration, integration, visualization, and analytics.
Aventior offers Data Visualization solutions using industry-standard business intelligence tools such as Sisense, Tableau, and Power BI.
They work to understand the clients’ business and construct interactive data visualizations and dashboards that can be used by anyone in the organization.
According to a survey conducted by the United States in 2014, within 64 years, the urban population increased to 3.9 billion from just 746 million.The growth of urbanization can vary between countries, states, etc.On a global level, too, survey conducting organizations use them to make an overall calculation of expansion in urbanization.Machine learning is one such concept that can widely be used in the process of urbanization.There are a variety of methods that can be used to present a clear picture of the urbanization which can take place in a particular location.The data that are produced using these methods are far more accurate and are completely based on the images of satellites.
The Information Technology field has experienced huge growth in the area of Cloud Strategy and Architecture.
Cloud Architecture refers to various components engineered to leverage the power of cloud resources to solve multiple business problems.
These components comprise of the database, application, software capabilities, enterprise security etc.
The cloud architecture has allowed users to access data uninterrupted across multiple geographies quickly and efficiently with iron-clad security.
Our architecture service always focuses on bringing the latest cloud technologies like AWS, GCP, Azure, and Oracle for existing businesses or help companies launch new business initiatives with ease.
We have also worked on platforms like AWS Lambda, ECS/ECR, CFT, Kubernetes, Ansible for building Big Data applications.
The satellites placed in the middle orbit of the earth help us with the imagery used for navigation.The resolution of the satellite imagery would vary as per the instrument used and the position of the satellite in the orbit.There are five types of resolution namelyThe spatial resolution simply termed would be the pixel size of the imageThe spectral resolution is the size of the wavelength intervalTemporal resolution is the period between each imagery collectionRadiometric resolution is the system resolution that captures the various level of brightnessGeometric resolution refers to the ability of the system to capture a part of Earth in a single pixelThe satellite imagery is used in various applications like fishing, landscape, education, and more.You can zero in your imagery accurately once you are clear about the concept of Earth orbits and resolution.Here we will list a few sources from where you can download free satellite imagery of earth:USGS Earth explorer agencyUSGS holds a record for its collection of free satellite imagery which is over 40 years old.The images are made available through Earth explorer.They have images from the USGS Nasa Landsat mission and data from ISRO, Sentinel-2, and high-resolution images from OrbView-3.