Machine learning (ML) is a topic of study focused on comprehending and developing “learning” methods, or methods that use data to enhance performance on a certain set of tasks. It is considered to be a component of Artificial Intelligence (AI). We offer expertise in machine learning strategy, development, and implementation from beginning to end.
Risk
Using AI systems to improve harvest quality and accuracy is a management style known as precision agriculture.
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Risk
Precision forecasting is the backbone of another agricultural AI tool: risk management.
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Research and Development
Product development is a process of taking the product or service from the concept to the market. New products are to meet the customers’ needs
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Research and Development
Automation is a key source of labor productivity for the construction industry. There are several types of construction robots that have
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Finance/Operations
The cost optimization process is something that should be performed during the whole period of the construction project execution.
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Operations
Measuring the performance during the project execution period allows us to better understand the possibilities for improvement and to make
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Operations
For all business owners, it is natural to get the most out of their money while implementing big and complex projects.
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Operations
Construction assets management and tracking are critical for almost all business spheres.
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Research and Development / Risk
The process involves planning, identification, classification, response analysis, monitoring, and many others.
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Research and Development
In attempts to avoid problems and major complications in the process of construction, warranty analytics plays a critical part.
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Supply Chain
The unpredictability and complications of the supply chain arena make things suitable for data scientists.
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Research and Development
Validation for decisions and material design is essential to obtain from data science after evaluating customers’ preferences and needs.
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Sales/Marketing
Several factors play an essential role in determining the price of a product. Every step in the selling and manufacturing process is necessary.
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Machinery
A significant investment is necessary for the implementation of automation. Engineers and system integrators are working on automation with the
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Machinery
Nowadays, production requires some machines and cells. The data collected for actual monitoring may be evaluated to improve assets’
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Machinery
The data collected through machines and operators is useful to develop a KPIs (Key Performance Indicators) set, such as the effectiveness
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Research and Development
Airlines use this biometric technology as a boarding option. The equipment scans travelers’ faces and matches them with photos
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Sales/Marketing
The Educational Institutes can use the student data for discovering the educational programs that are best suited for the students for attracting a large number of students to their institute.
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Development
Various Universities have to keep themselves updated with the demands of the industry so as to provide appropriate courses to their students.
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Operations
From the organizational perspective, the various Data Science techniques can help the Schools, Colleges, and Universities to better plan and organize their actions.
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Analytics
Data Science in Education helps you to have central control over the complete student data for evaluating the performance of the students and take suitable actions.
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Analytics
Data Science in Education makes it easy for administrators to keep an eye on the activities and teaching methods of the teachers.
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Analytics
The teachers can use a large amount of student data and apply various analytic methods for evaluating the performance of students.
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Customer Services
Every student is unique in his own way and has a different way of learning things.
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Supply Chain
Throughout the supply chain, analytical models are used to identify demand levels for different marketing strategies, sale prices, locations and many other data points.
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Machinery / Operations
Rather than a static maintenance schedule that gets updated a few times a year, a predictive analytics model can continue to learn
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Research and Development
During the manufacturing phase, identifying the root cause(s) of an issue is a lengthy and painstaking process, performed with traditional methods, it’s also incredibly hard.
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Operations
Parts manufacturers can capture images of each component as it comes off the assembly line
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Customer Analytics/ Sales/ Marketing
Analytics and information management present a significant opportunity for automakers to use quantitative techniques to support the planning of interventions across the customer lifecyle
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Sales/Marketing
Data analytics takes advantage of the valuable data generated by consumers whenever they purchase items, be it offline or online.
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Machinery / Operations
A problem for brands working with apparel manufacturers is wasted or inefficient time throughout the manufacturing process.
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Operations / Inventory
In the fashion industry, efficient storage of apparel is an often overlooked aspect of the manufacturing process.
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Supply Chain
The complexity of supply chain management has increased tremendously thanks to globalization and the success of e-commerce.
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Research and Development
One of the biggest challenges of the apparel industry is predicting the reception of new product launches.
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Operations
One of the best use-cases for analytics in apparel manufacturing is for demand forecasting.
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Customer Analytics/ Sales/ Marketing
Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that.
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Supply Chain
In the present market, comprehending an existing supply chain with all its participants becomes crucial for carrying out smooth operations.
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Operations
Big Data enables restaurants to preserve consistent product quality.
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Research and Development
Data analytics can also be used to ensure your products meet certain quality control standards.
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Sales/Marketing
For any business, it is very much important to spread awareness and acquire potential customers.
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Research and Development
Data science and analytics help in predicting the shelf life of the food products like bakery products, wine, etc by using predictive analysis.
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Operations / Customer Service
By using data analytics to collect information and data governance to ensure the information is organized and easily accessible
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Operations
Using data, one can analyze the stock and the menu choices that many consumers gravitate toward.
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Sales/Marketing
Acquiring a new customer is extremely costly in comparison to retaining an existing one.
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Sales/Marketing
Booking engines are easy to integrate and get you all the bookings sans any commission.
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Customer Analytics/ Sales/ Marketing
Reputation management systems help you build a trusted brand.
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Customer Services
Virtual or digital concierge is a customer experience (CX) technology that provides guests with conversational and contextual assistance.
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Customer Analytics/ Sales/ Marketing
Analyzing customer behavior patterns and real-time data can help you forecast demand with higher accuracy.
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Operations/ Inventory
Data Analytics in hotels is useful for inventory management.
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Sales/Marketing
Hotels receive bookings from various channels such as online travel agencies (OTA), direct bookings, and website bookings.
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Sales/Marketing
Dynamic Pricing Automation requires real-time, accurate data from a variety of sources, which refers to local and global economic factors
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Customer Analytics/ Sales/ Marketing
People in some way tend to appreciate personalize experience. Customer segmentation entails dividing all your customers according to their preferences
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Customer Analytics/ Sales/ Marketing
Big data enables casinos to gain the key knowledge of what attracts their customers which can effectively be put to use for enhancing retention in case any issues are detected.
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Customer Analytics/ Sales/ Marketing
Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that.
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Risk/Fraud
In the casino industry, fraud can be online and real life. Artificial intelligence for betting software, brought numerous benefits that it just didn’t have a decade ago.
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Sales/Marketing
Like with any industry with an online presence, personalized marketing is actively been applied in the casino and the gambling industry as well.
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Research and Development
Data science can be used to build models to identify optimization and make predictions.
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Customer Analytics
Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that.
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Supply Chain/ Sales/ Marketing
In the present market, comprehending an existing supply chain with all its participants becomes crucial for carrying out smooth operations.
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Operations
Data analytics can also be used to ensure your products meet certain quality control standards.
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Sales/ Marketing
For any business, it is very much important to spread awareness and acquire potential customers.
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Research and Development
Data science and analytics help in predicting the shelf life of the food products like bakery products, wine, etc by using predictive analysis.
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Operations/ Customer Services
By using data analytics to collect information and data governance to ensure the information is organized and easily accessible
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Operations
Using data, one can analyze the stock and the menu choices that many consumers gravitate toward.
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Research and Development/ Customer Service
An intelligent shelf is another application of AI in shopping that facilitates the checkout process.
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Research and Development
Supermarkets of the future increasingly adopt robots to tackle inventory-related problems, such as preventing out-of-stock items, incorrect labeling, and pricing.
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Research and Development
AI-powered supermarket technology can detect inappropriate behavior among both buyers and cashiers.
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Operations
Keeping a product batch on shelves too long consumes space that can be used to sell a different product.
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Operations / Inventory
Inventory management or warehouse management is a bigger challenge than it appears to be.
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Sales/ Marketing
In the supermarket’s price-sensitive industry, determining the right price that will attract enough customers and allows them to stay competitive is a difficult task.
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Sales/ Marketing
Data analytics takes advantage of the valuable data generated by consumers whenever they purchase items, be it offline or online.
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Sales/ Marketing
For any business, the most integral step is to undertake proper and fruitful marketing with the aim of spreading awareness and for generating beneficial brand loyalty.
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Customer Analytics
Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that.
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Research and Development
To assure quality and prevent false labeling, developing a method of “fingerprinting” product samples to indicate their original source is useful.
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Research and Development
Predictive statistical process control of a batch process, such as for a batch-based fermentation process like that used for brewing and distilling.
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Research and Development
Over time, quality characteristics of a product can change, or degrade.
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Research and Development
In the brewing industry, the alcohol content of a beverage is a critical quality parameter that is routinely analyzed.
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Research and Development
Malt is one of the most important beer ingredients—and also one of the most expensive.
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Operations
Although predictive maintenance can reduce the frequency with which machines break down, they can’t completely eliminate failures
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Machinery/ Operations
Predictive maintenance is an extremely common use case in manufacturing, and beer brewing is no exception.
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Operations
Beer is typically filtered using diatomaceous earth, a chalky substance made up of fossilized shells.
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Operations
The beer-making process consumes a lot of energy. For example, water has to be heated up and then cooled down again
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Operations
We might think that breweries have a system in place to schedule shipments to distributors—but it’s not uncommon for a distributor
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Research and Development
The aim of the current use case is to develop bunch of Artificial, machine and deep learning algorithms with highest smartness
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Research and Development
Farmers want the company to take care of the exact mapping of farm boundaries and cost-effective.
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Research and Development
A farmer will provide a company sales representative with information about previous crop yields
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Operations
Some people never order airplane meals so the airline supply management specialists must estimate how many snacks
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Operations
Approximately 30% of airlines’ operational expense is attributed to fuel cost, leading to direct impact on bottom-line because of increase in crude oil prices.
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Operations
The percentage of occupancy defines the profitability of airlines. Most often than not, flights go empty if there are direct flights connecting places
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Sales/Marketing
Acquiring a new customer is extremely costly in comparison to retaining an existing one. Companies are struggling to retain customers because of cut-throat
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Operations
Reduced optimum utilization of cargo space allotment and revenue loss due to unutilized space, pre-allotted to established logistic companies.
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Machinery
Predictive maintenance offers the opportunity to use machine learning and AI to glean powerful insights about the lifecycle of equipment being used.
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Research and Development
Smart infrastructure put in place by the public sector will increasingly work in partnership with the technology embedded in private vehicles.
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Sales/Marketing
The plethora of factors that impact logistical efficiency also impact end-product pricing. A change in one computational ingredient
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Operations
In general, the logistics and transportation industries are largely driven by economics: fuel cost, security measures, time to delivery, supply
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Research and Development
In time of crisis, having all the information at one place analyzed and given in the actionable format is something that Data Science can
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Research and Development
As the amount and severity of attacks grow, AI can provide real-time insights that screen frequent notifications and rank alerts based on their
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Research and Development
Crime data has two specific dimensions — geographic and temporal (crimes happen in different places at different times).
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Research and Development
It’s easier to find the area with largest deposits through the use of machine learning. In this way, we also do the process efficiently.
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Logistics
There’s a lot of moving around done during mining operations. Advanced Analytics, GIS and image processing can help with keeping a tab on the movement
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Machinery
Preventive equipment maintenance relies on the monitoring of the current equipment condition and performance level under normal operating conditions.
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Research and Development
In the majority of mining operations, a much larger volume of materials needs to be removed to find the valuable materials companies are mining for.
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Database Management
Utilities and grids are grappling with increasingly complex real-time events. Distributed energy resources and new technologies are
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Customer Services
First of all, the application of multiple communication channels should be applied for this purpose.
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Machinery
Uniting asset data in a single system and using analysis to identify equipment, networks or pipelines that are headed for failure.
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Research and Development
Energy and utility companies use smart data application and software to detect the matters, operations and functions worth of optimization.
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Customer Services
Companies use a whole bunch of applications and software to manage numerous customers, billing, payment, invoicing.
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Customer Services
A key to successful energy management lays in the balance between demand and supply. Both high and low demand rates cause a lot of problems
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Machinery
Preventive equipment maintenance relies on the monitoring of the current equipment condition and performance level under normal operating conditions.
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Research and Development
To predict and prevent energy theft energy companie monitor energy flows to react immediately to some suspicious matters.
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Research and Development
Dynamic energy management component usually comprises the smart energy end-use devices, smartly distributed energy sources
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Machinery
Modern smart power outage communication systems are capable of:
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Machinery
Active application of probability modeling helps to increase performance, predict occasional failures in the functioning and as a
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All
Unstructured data like maintenance reports, weather reports, media reports, etc can be analyzed with Natural Learning Processing
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All
Upstream exploration and production data are very complex in nature with large amounts of data.
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Refining
Oil refineries use water in huge volume in the processing of crude oil and gas.
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Storage & Transportation
In general, the logistics and transportation industries are largely driven by economics: fuel cost, security measures, time to delivery
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Storage & Transportation
Advanced analytics is increasingly being used to improve shipping performance by predicting the propulsion power that enhances the performances of ships and lowers greenhouse gas emissions.
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Drilling
A primary reason for the performance gap is the operational complexities in production and processing facilities.
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Drilling
Usage of predictive analytics has enabled O&G companies to create simulations that predict maintenance events.
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Drilling
Some of the challenges in the upstream processes of the oil and gas industry involve improving the performance of existing resources
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Drilling
Drilling and Pipeline operations data can be harnessed by big data analytics and used in various scenarios to improve production efficiency and bring down costs.
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Drilling
During extraction, the workers always run the risk of being temporarily or fatally impacted by harmful emissions.
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Research and Development
Unit Test is an automated test that you write a few lines of code to create. A unit test checks that a specific part of the code functions as expected.
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Research and Development
Language Prediction Model is an algorithmic structure designed to take one piece of language (an input) and transform it into what it predicts is the most useful following piece of language for the user.
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Real Estate Services
People use insurance service to ensure their houses, insurance companies apply optimization techniques to analyze what insurance premiums are better options for different regions.
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Research and Development
Machine learning algorithms also improve the processing of data and accelerate it in a few times, making business processes more transparent.
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Sales/Marketing
Real estate agents often monitor social networks to collect more information about a customer sentiments, customer preferences, capture demands
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Research and Development
The geographical features of the surface of a planet tell us about its geological makeup and its historical significance.
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Research and Development
It is easier to embed micro computers in many devices and assets. The device will also be expected to easily connect and exchange data with other systems and centralized data repositories that will focus on analysis of exception and aggregate data in different dimensions.
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Research and Development
The digital twin refers to a digital model of a particular asset that includes design specifications and engineering models
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Sales/Marketing/ Customer Service
Predictive analytics helps real estate agents understand customers better and provide them with services they really need.
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Research and Development
The rapidly expanding capabilities of autonomous equipment such as UAVs and robots are being leveraged in MRO shops and some of the first applications are in automated inspection.
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Risk/Customer Analytics
Unfortunately, when people buy a house, they don’t receive complete information about a house, and then it leads to misunderstanding and deal non-starter.
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Risk
Real estate companies can use predictive analytics to analyze the condition of the building considering all nuances
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Research and Development
Airlines use AI systems with built-in machine learning algorithms to collect and analyze flight data regarding each route distance and altitudes, aircraft type and weight, weather, etc.
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Customer Service
The real estate agents require a chatbot robot since their demand generation tactics are game-changing in the market, particularly for small real estate agencies
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Machinery
Carriers deploy predictive maintenance solutions to better manage data from aircraft health monitoring sensors.
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Research and Development
In the area of Aerospace engineering, aircraft manufacturers are leveraging Data Science to make flying safer than before.
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Research and Development
GIS mapping software helps us make sense of location and how it sway property prices.
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Research and Development
Data Science has been helping to collect data on aircrafts for years ranging from binary data such as speed, altitude
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Research and Development
The real estate performs differently in different locations. We can expect to pay a premium for a property in demanding areas compare to remote locations.
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Research and Developme
A rover on Mars solely controlled by a team of engineers can only be given instructions to move every 20mins. This is the communication delay between Earth and Mars.
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Research and Development
One of the most popular use cases of predictive analytics is the software development for construction simulation.
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Research and Developme
An alternative data-driven approach has been suggested for anomaly detection by Takehisa Yairi and collaborators (Yairi et al.).
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Customer Analytics/ Sales/ Marketing
In a world without crystal balls, forecasting is a serious business. Time series forecasting helps us understand where property markets are heading in the future.
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Research and Development
By creating a virtual model that is fed real-time data from the field, scenarios can be quickly tested
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Research and Development
Augmented reality (AR) or mixed reality is the ability to layer digital 3D images and virtual objects on top of the real- world images when seen through technologies such as smart glasses or hand-held tablet computers.
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Machinery
The data collected through machines and operators is useful to develop a KPIs (Key Performance Indicators) set, such as the effectiveness of overall equipment.
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Sales/ Marketing/ Customer Service
Property valuation can be resource-intensive and time-consuming since it requires people.
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Data Management
Mining exploration and production data are very complex in nature with large amounts of data.
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Machinery
The idea is to analyze historical data patterns that are leading to device failures, find the leading indicators, and start using those patterns to predict failure before it happens again on the same device or other similar devices.
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Sales/Marketing/ Finance
Traditionally, investing decisions in real estate have been driven by historical property prices, the area’s quality, and proximity to high-value local features
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Human Resources
Thanks to Internet of Things technology and sensors, mining equipment can be monitored and maintained
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Human Resources
During construction, the workers always run the risk of being temporarily or fatally impacted.
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Sales/Marketing
Correct attribution is a tricky problem in digital advertising. Using the most common attribution method, that is ‘last click’, only the latest channel that the user clicked get attributed for conversion.
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Operations
Inventory management is vital for a smooth manufacturing process. To efficiently manage the production system, the manufacturer should forecast demand.
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Risk
Ad Fraud can be done by creating fake Ad calls using content scrapping websites, launching ads outside a user’s view and by using bots that replicate human behaviour.
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Customer Analytics/ Risk
Network management can be improved by analyzing issues related to network congestion- service consumption, utilization, and more.
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Sales/ Marketing
Analytics powered platforms can classify content by topics and build a hierarchy of related topics in the taxonomy.
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Research and Development
Nowadays, manufacturers try to save the environment by saving energy and decreasing carbon emissions. They want to reduce their role in the environmental crisis.
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Customer Analytics/ Service
The best way to attract & engage and retain users is to deliver a personalized experience that learns from the
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Customer Analytics/ Risk
CDR contains information about each call which can help improve customer experience. Before using big data solutions, telecom companies used to spend a lot of time on this.
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Sales/Marketing
An Analytics tool can auto-tags stories with topics and measures quality of engagement, and provide much more reliable Audience
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Sales
The idea of the project is to have a recommendation system that can recommend products to customers.
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Sales/Marketing
The Telecom industry detects the real-time location of the customers and sends promotional texts by partnering with different merchants.
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Sales/Marketing
Today, Marketers can target users using techniques like Audience Segmentation, Demographic targeting, Gender targeting, age targeting
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Customer
Machine learning presents a solid opportunity for the industry and regulators to fight back against fraudsters.
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Customer
Maintaining up-to-date health records every day is exhausting as well as time-consuming. Handwritten recognition technology are used for documentation of prescriptions and other health information.
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Sales/Marketing/ Customer Analytics
Customer Lifetime Value is a measure of the overall profit or revenue that can be generated by a customer throughout his relationship with the industry.
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Sales/Marketing
Mass marketing is no longer effective as each customer’s requirements are unique and ever-changing.
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Customer
Predictive Analytics is playing an important role in improving patient care, chronic disease management and increasing the efficiency of supply chains and pharmaceutical logistics.
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Customer Analytics/ Risk
The real-time data insights can help improve these operations to continuously monitor and manage any drop in service performance, model network
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Customer
The IoT devices that are used as wearable devices that track heartbeat, temperature and other medical parameters of the users, all these data that is collected is analyzed with the help of data science.
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Customer Analytics/ Risk
Real-time streaming analytics can deal with this task. Modern streaming analytic solutions are specially tailored to continuously
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Sales/Marketing/Finance
The increasing neck-to-neck competition in gaining more subscribers or users creates a substantial need for telecom companies to set optimal
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Research & Development
Data Science plays a pivotal role in monitoring patient’s health and notifying necessary steps to be taken in order to prevent potential diseases from taking place. Data Scientist uses powerful predictive analytical tools to detect chronic diseases at an early level.
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Customer Analytics/ Sales/ Marketing
With the help of Big Data and advanced analytics software companies are analysing investments using public, customer, market data
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Risk
Telecommunication industry being the one attracting almost the most significant number of users every day is a vast field for fraudulent activity.
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Customer Service
With the advancement in the field of disease predictive modeling, a comphrehensive virtual platform can be devloped that provides assistance to the patient
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Risk
The Telecom industry has to manage and maintain a large number of devices that are continuously running all the time.
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Customer Analytics/ Sales/ Marketing
Media content analysis is a well-developed methodology aiming at analyzing the message of the content and its connotation.
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Risk
With real-time analysis of network traffic data and customer behavior, the telecom service providers can detect patterns that indicate
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Research & Development
There are various imaging techniques like X-Ray, MRI and CT Scan. All these techniques visualize the inner parts of the human body.
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Research and Development
Real-time data obtained from multiple resources can be used to improve the products offered by the telecom industry.
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CustomerAnalytics/ Sales/Marketing
First of all, leveraging mobile and social media content increases the number of channels and the amount of data exchanged in real-time.
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Operations
AI is also affecting largely unseen aspects of BioTech and Pharmaceuticals. Things like marketing, lab assistants, and administrative work take up considerable resources.
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Operations
In order to adapt staffing to daily needs, data platforms can drive better anticipation of patient demand (through patient forecasting), ensuring
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Customer Analytics/ Sales/ Marketing
In relation to areas of media and entertainment all the comments, post, likes and dislikes, views, subscription, etc. present a vast ground for extracting the insights.
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Sales & Marketing
Among the tools of Big Data, sentiment analysis is one that helps to analyze social networking posts and comments.
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Sales & Marketing
When the company loses exclusive brand rights to a drug, they can effectively use data to maintain patient loyalty and prevent churn
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Supply Chain Management
Identifying the most efficient supply system by optimizing and automating steps of production will become even more important as drugs are increasingly customized to small numbers of patients with certain genetic profiles.
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Research & Development
Instead of throwing darts at the wall and hoping to land on an eventual hit—an expensive and inefficient process—pharmaceutical companies can leverage Deep Learning techniques to not only cull through literature and journal publications but also to pre-screen for the most effective potential compounds to prioritize their time.
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Research & Development
Instead of throwing darts at the wall and hoping to land on an eventual hit—an expensive and inefficient process—pharmaceutical companies can leverage Deep Learning techniques to not only cull through literature and journal publications but also to pre-screen for the most effective potential compounds to prioritize their time.
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Research & Development
ML/AI can help introduce efficiencies to the clinical trial process in two ways
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Customer Analytics/ Sales/ Marketing
The internet encompasses loads of information, and these vast amounts are continually growing.
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Research & Development
Pharmaceutical companies use the insights from the patient information such as mutation profiles and patient metadata.
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Research & Development
Pharmaceutical companies use the insights from the patient information such as mutation profiles and patient metadata. This information helps the researchers to develop models and find statistical relationships between the attributes.
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Customer Analytics/ Sales/ Marketing
Social media content distribution plays a key role in enforcing suitable marketing strategies today.
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Sales & Marketing
Among the tools of Big Data, sentiment analysis is one that helps to analyze social networking posts and comments.
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Customer Analytics/ Sales/ Marketing
Modern recommendation engines use matching algorithms processing the data and attach tags to the words bearing emotional attitude
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Customer Analytics/ Sales/ Marketing
Real-time prediction based on current trends and behaviors from all data sources is key.
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Customer Analytics/ Sales/ Marketing
Media and entertainment companies must analyze the sentiments of their customer groups.
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Operations
AI is also affecting largely unseen aspects of BioTech and Pharmaceuticals. Things like marketing, lab assistants, and administrative work
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Customer Analytics/ Sales/ Marketing
For media and entertainment companies, attracting customers’ attention becomes an important prerogative
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Research & Development
AI’s data processing to spot potential conditions sooner and with greater accuracy. Early studies showed AI’s accuracy in detecting a disease state
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C+E99ustomer Analytics/ Sales/ Marketing
Setting up a data pipeline with warehousing, collection models, filtering, storage, and processing requires significant effort.
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Research & Development
Drug discovery is one thing, but biotech companies are hoping to utilize AI to provide more personalized medicine in the next decade.
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Research & Development
Environmental conditions change from season to season and from day to day. It is important for farmers to have accurate information to cope responsibly
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Research & Development
Biotechl companies use the insights from the patient information such as mutation profiles and patient metadata.
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Research & Development
Genomics is the study of sequencing and analysis of genomes. A genome consists of the DNA and all the genes of the organisms.
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Customer Service Department
Using an intelligent chatbot, customers can get all their queries resolved in terms of finding out their monthly trading, investment products,
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Risk
Credit risk is the economic loss that emanates from a counterparty’s failure to fulfill its contractual obligations, or from the increased risk of defaul
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Risk
You can follow current market trends by scrolling news and publication all day long, hiring someone to do it for you or using sentiment analysis.
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Risk
The fact that machine learning-enabled technologies give advanced market insights allows the fund managers to identify specific
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Risk
Machine learning algorithms can be used to enhance network security significantly. Data scientists are always working on training systems to
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Sales/Marketing/Risk
Robo-advisors work like the regular financial advisors. As a rule, they target investors who have limited resources and want to manage their funds,
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Risk
Algorithmic Trading is the most important part of financial institutions. In algorithmic trading, there are complex mathematical formulas
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Risk
Financial organizations use it to monitor a considerable amount of transaction parameters at once for every account in real time.
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Customer Service Department
Portfolio management is an online wealth management service that uses statistical points of the issue as well as automatized algorithms to
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Risk
The so-called credit scoring system assesses a person’s creditworthiness and credit risks, based on numerical statistical methods.
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Underwriting
Machine learning can leverage fuzzy matching to encode baseline underwriting logic in addition to an evolving algorithm that can optimize the engine’s performance over time.
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Risk
Predictions of stock market fluctuations are often underestimated in the trading sector and even considered pseudoscientific.
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Valuation
Asset management for digital assets or distributed industrial assets are applications where voluminous data about the assets is already being recorded, making them ripe for automation through AI.
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Risk
The so-called credit scoring system assesses a person’s creditworthiness and credit risks, based on numerical statistical methods.
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Data Management
Financial Institutions need data. As a matter of fact, big data has revolutionized the way in which financial institutions function. The volume and variety of data are contributed through social media and a large number of transactions.
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Customer Service Department
Using an intelligent chatbot, customers can get all their queries resolved in terms of finding out their monthly trading, investment products, affordable insurance plan, and much more.
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Valuation
Asset management for digital assets or distributed industrial assets are applications where voluminous data about the assets is already being recorded, making them ripe for automation through AI.
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Risk
Financial organizations use it to monitor a considerable amount of transaction parameters at once for every account in real time.
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Risk
Credit risk is the economic loss that emanates from a counterparty’s failure to fulfill its contractual obligations, or from the increased risk of default
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RIsk
Machine learning algorithms can be used to enhance network security significantly. Data scientists are always working on training systems to detect flags such as money laundering techniques,
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Risk
You can follow current market trends by scrolling news and publication all day long, hiring someone to do it for you or using sentiment analysis.
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Sales
Robo-advisors work like the regular financial advisors. As a rule, they target investors who have limited resources and want to manage
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Claims
A number of machine-learning-based technologies allow insurance companies to automate the claims process, reducing the waiting
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Customer Service Department
Using an intelligent chatbot, customers can get all their queries resolved in terms of finding out their monthly trading, investment products,
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Sales
By creating a personalized insurance profile for their clients, insurance companies can achieve significant results in attracting new and retaining old customers
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Compliance
Flexibility in production of analytics and integration of Machine Learning in regulatory-related controls are significant regulatory transformation enablers.
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Underwriting
Machine learning can leverage fuzzy matching to encode baseline underwriting logic in addition to an evolving algorithm
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Claims
A number of machine-learning-based technologies allow insurance companies to automate the claims process, reducing the waiting time and freeing agents to work on less routine tasks.
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Sales/Marketing
Corss- selling and upselling is practiced by all financial institutions in order to improve their revenue. Cross-selling is the practice to recommend complementary products to customers for their buyings.
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Risk
A churn model identifies customers at risk of churn or who are most likely to switch, so the business can take action from losing them.
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Sales/Marketing
Insurance companies can leverage the depth of understanding they have of their clients and evolving financial needs to offer
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Risk
Fraud detection is one of the most pressing use cases in the insurance industry, and AI can generate incredible efficiency and value gains.
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Sales/Marketing
Price optimization techiniques focus on finding the price that maximizes a defined cost function (or company’s margin), considering
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Data Management
Financial Institutions need data. As a matter of fact, big data has revolutionized the way in which financial institutions function.
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Customer Service Department
Using an intelligent chatbot, customers can get all their queries resolved in terms of finding out their monthly expenses, loan eligibility, affordable insurance plan, and much more.
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Risk
A churn model identifies customers at risk of churn or who are most likely to switch, so the business can take action from losing them.
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Sales/Marketing
Corss- selling and upselling is practiced by all banks in order to improve their revenue. Cross-selling is the practice to recommend complementary products to customers for their buyings.
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Risk
Machine learning algorithms are a promising tool used to predict trends in the financial market.
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Sales
The idea of the project is to have a recommendation system that can recommend products to customers.
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Sales/Marketing
Customer segmentation is the practice of dividing a company’s customers into groups that reflect similarity among customers in each group.
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Sales/Marketing/Risk
A Customer Lifetime Value offers a discounted value of the future revenues that are contributed by the customer.
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Risk
The so-called credit scoring system assesses a person’s creditworthiness and credit risks, based on numerical statistical methods.
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Risk
Banking organizations use it to monitor a considerable amount of transaction parameters at once for every
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Sales/Market Research
Location analysis is an important part of data analytics. The algorithm analyzes the data giving importance to various factors for the location analysis
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Sales / Sales platform /Customer Engagement
Big data analytics offers businesses the potential to enhance their processes so that customers enjoy transacting online.
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.
Many multinational companies, has been experimenting with new technologies to implement augmented reality in the shopping experience.
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Sales / Sales platform /Fraud
E-commerce stores usually provide warranties for products that allow customers to deal with any problems at no cost during the warranty period.
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Sales / Sales platform /Customer Engagement
Customer lifetime value is the total value of the customers profit to the company over the entire “lifetime” (usually 12-24 months).
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Sales/Finance/Fraud
A fraud detection system helps companies to decrease unidentified transactions and increase company revenue and brand value.
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Sales
Price optimization techniques focus on finding the price that maximizes a defined cost function
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Sales / Sales platform /Customer Engagement
Personalization is the process of creating customized, pleasing experience for visitors.
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Supply Chain Management
Machine learning-bases approach with a deep neural network(DNN) at its core, solves an inventory optimization task more effectively than other approaches do.
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Sales / Sales platform /Media Engagement/Marketing/ Market Research
Customer segmentation is the practice of dividing a company’s customers into groups that reflect similarity among customers in each group.
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Sales/Marketing
Market basket analysis works on the concept – if a customer buys one group of items, they are more or less likely to buy another set of related items.
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Sales / Sales platform /Media Engagement/Marketing/ Market Research
The Natural Language Processing analyzes text data to extract information.
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Sales / Sales platform /E-commerce
A churn model identifies customers at risk of churn or who are most likely to switch, so the business can take action from losing them.
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Sales / Sales platform /E-commerce
The idea of the project is to have a recommendation system that can recommend products to customers.
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