+250 use cases cross industry Database in
Machine Learning and AI
Among the largest royalty free use cases database in machine learning and AI provided by experts in the field.
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.
Sectors
- All
- Agriculture Industry
- Aircraft Manufacturer
- Apparel Industry
- Automotive Retail
- Aviation
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- Brewers, Distillers, Vintners
- Casino & Gaming
- Construction
- Digital Advertising
- Digital Publishing
- E-commerce
- Education Services
- Electric/Water/Gas
- FinTech
- Food Retail
- Ground Defense
- Health Care Technology
- Hotel, Resorts & Cruise Line
- Hypermarkets & Super Centers
- Insurance
- Investment and Trading
- Machinery/Building Products/Manufacturer
- Mining
- Movies & Digital Entertainment
- MRO – Aerospace
- Oil & Gas Drilling, Transportation, Refining
- Pharmaceuticals
- Real Estate Development
- Real Estate Services
- Restaurants
- Retail (physical)
- Software
- Space Systems
- Telecommunications
- Transport & Logistics
- Wireless / Integrated
Prediction Analytics and Precision Farming
Risk
Using AI systems to improve harvest quality and accuracy is a management style known as precision agriculture.
Read MoreRisk Management
Risk
Precision forecasting is the backbone of another agricultural AI tool: risk management.
Read MoreProduct Development
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
Read MoreRobotization
Research and Development
Automation is a key source of labor productivity for the construction industry. There are several types of construction robots that have
Read MoreBudgeting and Planning
Finance/Operations
The cost optimization process is something that should be performed during the whole period of the construction project execution.
Read MoreContractor Performance optimization
Operations
Measuring the performance during the project execution period allows us to better understand the possibilities for improvement and to make
Read MoreOptimization
Operations
For all business owners, it is natural to get the most out of their money while implementing big and complex projects.
Read MoreTracking Construction Equipment and Assets
Operations
Construction assets management and tracking are critical for almost all business spheres.
Read MoreAnalyzing Project Risk
Research and Development / Risk
The process involves planning, identification, classification, response analysis, monitoring, and many others.
Read MoreWarranty Analysis
Research and Development
In attempts to avoid problems and major complications in the process of construction, warranty analytics plays a critical part.
Read MoreSupply Chain Optimization
Supply Chain
The unpredictability and complications of the supply chain arena make things suitable for data scientists.
Read MoreProduct Manufacturing and Design
Research and Development
Validation for decisions and material design is essential to obtain from data science after evaluating customers’ preferences and needs.
Read MorePrice Optimization
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.
Read MoreFactory Design and Automation
Machinery
A significant investment is necessary for the implementation of automation. Engineers and system integrators are working on automation with the
Read MorePreventive Maintenance
Machinery
Nowadays, production requires some machines and cells. The data collected for actual monitoring may be evaluated to improve assets’
Read MoreMonitor downtime and machine performance
Machinery
The data collected through machines and operators is useful to develop a KPIs (Key Performance Indicators) set, such as the effectiveness
Read MoreEasy Check in with Facial Recognition
Research and Development
Airlines use this biometric technology as a boarding option. The equipment scans travelers’ faces and matches them with photos
Read MoreStudent Recruitment
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.
Read MoreRegular Updates in Curriculum
Development
Various Universities have to keep themselves updated with the demands of the industry so as to provide appropriate courses to their students.
Read MoreBetter Organization
Operations
From the organizational perspective, the various Data Science techniques can help the Schools, Colleges, and Universities to better plan and organize their actions.
Read MoreImprove Student’s Performance
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.
Read MoreBetter Assessment of Teachers
Analytics
Data Science in Education makes it easy for administrators to keep an eye on the activities and teaching methods of the teachers.
Read MoreBetter Parent involvement
Analytics
The teachers can use a large amount of student data and apply various analytic methods for evaluating the performance of students.
Read MoreImprove Adaptive Learning
Customer Services
Every student is unique in his own way and has a different way of learning things.
Read MoreSupply Chain Optimization
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.
Read MorePredictive Maintenance
Machinery / Operations
Rather than a static maintenance schedule that gets updated a few times a year, a predictive analytics model can continue to learn
Read MoreRoot Cause Analysis
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.
Read MoreQuality Control
Operations
Parts manufacturers can capture images of each component as it comes off the assembly line
Read MoreCustomer Behaviour Analytics
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
Read MoreMarketing Campaigns and Promotions
Sales/Marketing
Data analytics takes advantage of the valuable data generated by consumers whenever they purchase items, be it offline or online.
Read MoreMachine Utilization
Machinery / Operations
A problem for brands working with apparel manufacturers is wasted or inefficient time throughout the manufacturing process.
Read MoreWarehouse Management
Operations / Inventory
In the fashion industry, efficient storage of apparel is an often overlooked aspect of the manufacturing process.
Read MoreSupply Chain Optimization
Supply Chain
The complexity of supply chain management has increased tremendously thanks to globalization and the success of e-commerce.
Read MoreNew Product Intelligence
Research and Development
One of the biggest challenges of the apparel industry is predicting the reception of new product launches.
Read MoreDemand Forecasting
Operations
One of the best use-cases for analytics in apparel manufacturing is for demand forecasting.
Read MoreCustomer Sentiment Analytics
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.
Read MoreSupply Chain Transparency
Supply Chain
In the present market, comprehending an existing supply chain with all its participants becomes crucial for carrying out smooth operations.
Read MoreConsistent Quality
Operations
Big Data enables restaurants to preserve consistent product quality.
Read MoreQuality Control
Research and Development
Data analytics can also be used to ensure your products meet certain quality control standards.
Read MoreMarketing and Advertising
Sales/Marketing
For any business, it is very much important to spread awareness and acquire potential customers.
Read MoreFood Shelf Life
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.
Read MoreDeliveries
Operations / Customer Service
By using data analytics to collect information and data governance to ensure the information is organized and easily accessible
Read MoreDaily Operations
Operations
Using data, one can analyze the stock and the menu choices that many consumers gravitate toward.
Read MoreLoyalty Programs
Sales/Marketing
Acquiring a new customer is extremely costly in comparison to retaining an existing one.
Read MoreBooking engine
Sales/Marketing
Booking engines are easy to integrate and get you all the bookings sans any commission.
Read MoreReputation management
Customer Analytics/ Sales/ Marketing
Reputation management systems help you build a trusted brand.
Read MoreDigital concierge/Chatbot
Customer Services
Virtual or digital concierge is a customer experience (CX) technology that provides guests with conversational and contextual assistance.
Read MoreDemand Forecasting
Customer Analytics/ Sales/ Marketing
Analyzing customer behavior patterns and real-time data can help you forecast demand with higher accuracy.
Read MoreInventory Management
Operations/ Inventory
Data Analytics in hotels is useful for inventory management.
Read MoreManaging Hotel Booking Channels
Sales/Marketing
Hotels receive bookings from various channels such as online travel agencies (OTA), direct bookings, and website bookings.
Read MoreReal-Time Data and Hotel Pricing Strategies
Sales/Marketing
Dynamic Pricing Automation requires real-time, accurate data from a variety of sources, which refers to local and global economic factors
Read MoreCustomer Data Analysis & Market Segmentation
Customer Analytics/ Sales/ Marketing
People in some way tend to appreciate personalize experience. Customer segmentation entails dividing all your customers according to their preferences
Read MorePlayer Retention
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.
Read MoreSocial Media Analysis
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.
Read MoreFraud Detection
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.
Read MorePersonalized Marketing
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.
Read MoreGame Development
Research and Development
Data science can be used to build models to identify optimization and make predictions.
Read MoreCustomer Sentiment Analytics
Customer Analytics
Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that.
Read MoreSupply Chain Transparency
Supply Chain/ Sales/ Marketing
In the present market, comprehending an existing supply chain with all its participants becomes crucial for carrying out smooth operations.
Read MoreQuality Control
Operations
Data analytics can also be used to ensure your products meet certain quality control standards.
Read MoreMarketing and Advertising
Sales/ Marketing
For any business, it is very much important to spread awareness and acquire potential customers.
Read MoreFood Shelf Life
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.
Read MoreDeliveries
Operations/ Customer Services
By using data analytics to collect information and data governance to ensure the information is organized and easily accessible
Read MoreDaily Operations
Operations
Using data, one can analyze the stock and the menu choices that many consumers gravitate toward.
Read MoreImproving the Checkout Process
Research and Development/ Customer Service
An intelligent shelf is another application of AI in shopping that facilitates the checkout process.
Read MoreAutomation/ Robotics
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.
Read MoreReducing theft
Research and Development
AI-powered supermarket technology can detect inappropriate behavior among both buyers and cashiers.
Read MoreMaking warehouse/store-level stocking decisions
Operations
Keeping a product batch on shelves too long consumes space that can be used to sell a different product.
Read MoreInventory Management/ AI-based forecasting in grocery stores
Operations / Inventory
Inventory management or warehouse management is a bigger challenge than it appears to be.
Read MorePricing
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.
Read MoreMarketing Campaigns and Promotions
Sales/ Marketing
Data analytics takes advantage of the valuable data generated by consumers whenever they purchase items, be it offline or online.
Read MoreMarketing and Advertising
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.
Read MoreCustomer Sentiment Analytics
Customer Analytics
Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that.
Read MorePreventive Food Fraud – Counterfeit Modeling
Research and Development
To assure quality and prevent false labeling, developing a method of “fingerprinting” product samples to indicate their original source is useful.
Read MorePredictive Statistical Process Control
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.
Read MorePredicting Shelf- Life
Research and Development
Over time, quality characteristics of a product can change, or degrade.
Read MoreCritical Quality Control
Research and Development
In the brewing industry, the alcohol content of a beverage is a critical quality parameter that is routinely analyzed.
Read MoreMalt yield prediction and optimization
Research and Development
Malt is one of the most important beer ingredients—and also one of the most expensive.
Read MoreFaster Handling of Filling Machine Failure
Operations
Although predictive maintenance can reduce the frequency with which machines break down, they can’t completely eliminate failures
Read MorePredict Maintenance
Machinery/ Operations
Predictive maintenance is an extremely common use case in manufacturing, and beer brewing is no exception.
Read MorePredict and Maximize Filter Lifetime
Operations
Beer is typically filtered using diatomaceous earth, a chalky substance made up of fossilized shells.
Read MoreEnergy Management
Operations
The beer-making process consumes a lot of energy. For example, water has to be heated up and then cooled down again
Read MorePredicting Arrivals and Wait Times in Logistics
Operations
We might think that breweries have a system in place to schedule shipments to distributors—but it’s not uncommon for a distributor
Read MoreRole of Robots in Agriculture
Research and Development
The aim of the current use case is to develop bunch of Artificial, machine and deep learning algorithms with highest smartness
Read MorePesticides spraying using Drones
Research and Development
Farmers want the company to take care of the exact mapping of farm boundaries and cost-effective.
Read MoreDetermining Optimal Fertilizer Mixes
Research and Development
A farmer will provide a company sales representative with information about previous crop yields
Read MoreIn Flight Sales and Food Supply
Operations
Some people never order airplane meals so the airline supply management specialists must estimate how many snacks
Read MorePredict Fuel Consumption & Optimization
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.
Read MoreRevenue management and Route Planning
Operations
The percentage of occupancy defines the profitability of airlines. Most often than not, flights go empty if there are direct flights connecting places
Read MoreAirline Reward points to reduce customer churn
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
Read MoreOptimally Utilize the Cargo Spce
Operations
Reduced optimum utilization of cargo space allotment and revenue loss due to unutilized space, pre-allotted to established logistic companies.
Read MorePredictive Maintenance
Machinery
Predictive maintenance offers the opportunity to use machine learning and AI to glean powerful insights about the lifecycle of equipment being used.
Read MoreTraffic Management Operations and Other Smart Infrastructure
Research and Development
Smart infrastructure put in place by the public sector will increasingly work in partnership with the technology embedded in private vehicles.
Read MoreDynamic Pricing
Sales/Marketing
The plethora of factors that impact logistical efficiency also impact end-product pricing. A change in one computational ingredient
Read MoreOperational Efficiency
Operations
In general, the logistics and transportation industries are largely driven by economics: fuel cost, security measures, time to delivery, supply
Read MoreCritical Support During Operations with Deep Learning
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
Read MoreThreat Alert Systems
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
Read MoreCrime Prediction
Research and Development
Crime data has two specific dimensions — geographic and temporal (crimes happen in different places at different times).
Read MoreMineral Exploration/ Ore zone estimation
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.
Read MoreAutonomous Transportation/Logistics/Drillers
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
Read MorePredictive Maintenance and Loss Prevention
Machinery
Preventive equipment maintenance relies on the monitoring of the current equipment condition and performance level under normal operating conditions.
Read MoreRecovery Improvement
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.
Read MoreDatabase Management
Database Management
Utilities and grids are grappling with increasingly complex real-time events. Distributed energy resources and new technologies are
Read MoreEnhancing Customer Experience
Customer Services
First of all, the application of multiple communication channels should be applied for this purpose.
Read MoreOptimizing asset performance
Machinery
Uniting asset data in a single system and using analysis to identify equipment, networks or pipelines that are headed for failure.
Read MoreImproving operational efficiency
Research and Development
Energy and utility companies use smart data application and software to detect the matters, operations and functions worth of optimization.
Read MoreReal-time customer billing
Customer Services
Companies use a whole bunch of applications and software to manage numerous customers, billing, payment, invoicing.
Read MoreDemand response management
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
Read MorePreventive equipment maintenance
Machinery
Preventive equipment maintenance relies on the monitoring of the current equipment condition and performance level under normal operating conditions.
Read MoreSmart Grid security and theft detection
Research and Development
To predict and prevent energy theft energy companie monitor energy flows to react immediately to some suspicious matters.
Read MoreDynamic energy management
Research and Development
Dynamic energy management component usually comprises the smart energy end-use devices, smartly distributed energy sources
Read MoreOutage detection and prediction
Machinery
Modern smart power outage communication systems are capable of:
Read MoreFailure probability modeling
Machinery
Active application of probability modeling helps to increase performance, predict occasional failures in the functioning and as a
Read MoreDecision Making
All
Unstructured data like maintenance reports, weather reports, media reports, etc can be analyzed with Natural Learning Processing
Read MoreDatabase Management
All
Upstream exploration and production data are very complex in nature with large amounts of data.
Read MoreDownstream Optimization
Refining
Oil refineries use water in huge volume in the processing of crude oil and gas.
Read MoreOperational Efficiency
Storage & Transportation
In general, the logistics and transportation industries are largely driven by economics: fuel cost, security measures, time to delivery
Read MoreMidstream Optimization
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.
Read MoreImproving Offshore operations predictions
Drilling
A primary reason for the performance gap is the operational complexities in production and processing facilities.
Read MorePredictive and preventive maintenance
Drilling
Usage of predictive analytics has enabled O&G companies to create simulations that predict maintenance events.
Read MoreUpstream Optimization
Drilling
Some of the challenges in the upstream processes of the oil and gas industry involve improving the performance of existing resources
Read MoreReducing production costs
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.
Read MoreEnsuring human safety
Drilling
During extraction, the workers always run the risk of being temporarily or fatally impacted by harmful emissions.
Read MoreUnit test generation using ML
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.
Read MoreAutomatic Code Completion
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.
Read MoreData- driven Insurance
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.
Read MoreAI – Enabled Decision Making Process, Advanced Analytics
Research and Development
Machine learning algorithms also improve the processing of data and accelerate it in a few times, making business processes more transparent.
Read MoreEnhanced Marketing Strategy
Sales/Marketing
Real estate agents often monitor social networks to collect more information about a customer sentiments, customer preferences, capture demands
Read MoreFeature Detection of planetary exploration
Research and Development
The geographical features of the surface of a planet tell us about its geological makeup and its historical significance.
Read MoreAsset Sensor and Diagnostic Connectivity via the IoT
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.
Read MoreDigital Thread and Digital Twin
Research and Development
The digital twin refers to a digital model of a particular asset that includes design specifications and engineering models
Read MoreImproved Customer’s Engagement
Sales/Marketing/ Customer Service
Predictive analytics helps real estate agents understand customers better and provide them with services they really need.
Read MoreAutomation with Robotics and UAVs
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.
Read MoreAccurate Appraisals
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.
Read MoreRisk Mitigation
Risk
Real estate companies can use predictive analytics to analyze the condition of the building considering all nuances
Read MoreFuel Consumption Improvements
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.
Read MoreAI services – Chatbot
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
Read MorePredict Wear and Tear Predictive Maintenance
Machinery
Carriers deploy predictive maintenance solutions to better manage data from aircraft health monitoring sensors.
Read MoreRaise Safety Standards
Research and Development
In the area of Aerospace engineering, aircraft manufacturers are leveraging Data Science to make flying safer than before.
Read MoreLocation Analysis with Geographic Information System ( GIS)
Research and Development
GIS mapping software helps us make sense of location and how it sway property prices.
Read MoreEnhance Design Accuracy
Research and Development
Data Science has been helping to collect data on aircrafts for years ranging from binary data such as speed, altitude
Read MoreAnalyzing Property Differences in One Area
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.
Read MoreAutonomous Navigation
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.
Read MoreAccurate Simulation Before Construction
Research and Development
One of the most popular use cases of predictive analytics is the software development for construction simulation.
Read MoreHealth Monitoring of Spacecraft
Research and Developme
An alternative data-driven approach has been suggested for anomaly detection by Takehisa Yairi and collaborators (Yairi et al.).
Read MoreBetter Forecasting
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.
Read MoreDigital twinning
Research and Development
By creating a virtual model that is fed real-time data from the field, scenarios can be quickly tested
Read MoreAdvanced Guidance with Augumented Reality and Natural Language
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.
Read MoreMonitor downtime and machine performance
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.
Read MoreProperty Valuation
Sales/ Marketing/ Customer Service
Property valuation can be resource-intensive and time-consuming since it requires people.
Read MoreData Management
Data Management
Mining exploration and production data are very complex in nature with large amounts of data.
Read MoreAdvanced Analytical Capabilities
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.
Read MoreInvesting and Property Price Indices
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
Read MoreWorkers’ Health and Safety
Human Resources
Thanks to Internet of Things technology and sensors, mining equipment can be monitored and maintained
Read MoreWorker Safety, Zone Safety
Human Resources
During construction, the workers always run the risk of being temporarily or fatally impacted.
Read MoreCorrect Attribution
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.
Read MoreDemand Forecasting and Inventory Management
Operations
Inventory management is vital for a smooth manufacturing process. To efficiently manage the production system, the manufacturer should forecast demand.
Read MorePreventing Ad Fraud
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.
Read MoreNetwork Optimization
Customer Analytics/ Risk
Network management can be improved by analyzing issues related to network congestion- service consumption, utilization, and more.
Read MoreEditorial Peer Comparison, Opportunity Identification & Prioritization
Sales/ Marketing
Analytics powered platforms can classify content by topics and build a hierarchy of related topics in the taxonomy.
Read MoreComputer Vision and Efficiency
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.
Read MorePersonalized Experience for Users
Customer Analytics/ Service
The best way to attract & engage and retain users is to deliver a personalized experience that learns from the
Read MoreCall Detail Record (CDR) Analysis
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.
Read MorePublishing Audience Segmentation by Interests & Topic Affinities
Sales/Marketing
An Analytics tool can auto-tags stories with topics and measures quality of engagement, and provide much more reliable Audience
Read MoreRecommendation Engine – Marketing Use Case
Sales
The idea of the project is to have a recommendation system that can recommend products to customers.
Read MoreLocation-Based Promotions
Sales/Marketing
The Telecom industry detects the real-time location of the customers and sends promotional texts by partnering with different merchants.
Read MoreAd Targeting Capabilities
Sales/Marketing
Today, Marketers can target users using techniques like Audience Segmentation, Demographic targeting, Gender targeting, age targeting
Read MoreFraud Detection
Customer
Machine learning presents a solid opportunity for the industry and regulators to fight back against fraudsters.
Read MoreSmart Health Records
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.
Read MoreCustomer Life Time Value Prediction
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.
Read MoreTargeted Marketing
Sales/Marketing
Mass marketing is no longer effective as each customer’s requirements are unique and ever-changing.
Read MorePredictive analytics in Healthcare
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.
Read MorePreventing Customer Churn
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
Read MoreMonitoring Patient health
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.
Read MoreReal-Time Analytics
Customer Analytics/ Risk
Real-time streaming analytics can deal with this task. Modern streaming analytic solutions are specially tailored to continuously
Read MorePrice Optimization
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
Read MoreTracking and Preventing Disease
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.
Read MoreAdvanced Analytics
Customer Analytics/ Sales/ Marketing
With the help of Big Data and advanced analytics software companies are analysing investments using public, customer, market data
Read MoreFraud Detection
Risk
Telecommunication industry being the one attracting almost the most significant number of users every day is a vast field for fraudulent activity.
Read MoreVirtual Assistance
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
Read MorePredictive Analytics
Risk
The Telecom industry has to manage and maintain a large number of devices that are continuously running all the time.
Read MoreAnalysis of media content usage
Customer Analytics/ Sales/ Marketing
Media content analysis is a well-developed methodology aiming at analyzing the message of the content and its connotation.
Read MoreIncreased Network Security
Risk
With real-time analysis of network traffic data and customer behavior, the telecom service providers can detect patterns that indicate
Read MoreMedical Imaging
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.
Read MoreProduct Optimization
Research and Development
Real-time data obtained from multiple resources can be used to improve the products offered by the telecom industry.
Read MoreLeveraging mobile and social media content
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.
Read MoreNon-Medical Related AI
Operations
AI is also affecting largely unseen aspects of BioTech and Pharmaceuticals. Things like marketing, lab assistants, and administrative work take up considerable resources.
Read MoreStaffing Optimization & Operations
Operations
In order to adapt staffing to daily needs, data platforms can drive better anticipation of patient demand (through patient forecasting), ensuring
Read MoreCollecting and analyzing customer insights
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.
Read MoreSentiment Analysis
Sales & Marketing
Among the tools of Big Data, sentiment analysis is one that helps to analyze social networking posts and comments.
Read MoreLoss of Exclusivity
Sales & Marketing
When the company loses exclusive brand rights to a drug, they can effectively use data to maintain patient loyalty and prevent churn
Read MoreSupply Chain and Manufacturing/ Advanced Supply Chain Optimization
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.
Read MoreThe Future of Computational Biochemistry
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.
Read MoreIdentifying Compounds
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.
Read MoreIdentifying patients for clinical trials
Research & Development
ML/AI can help introduce efficiencies to the clinical trial process in two ways
Read MoreObject detection and classification
Customer Analytics/ Sales/ Marketing
The internet encompasses loads of information, and these vast amounts are continually growing.
Read MoreDrug Discovery
Research & Development
Pharmaceutical companies use the insights from the patient information such as mutation profiles and patient metadata.
Read MoreDrug Discovery
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.
Read MoreSocial Media Content Distribution
Customer Analytics/ Sales/ Marketing
Social media content distribution plays a key role in enforcing suitable marketing strategies today.
Read MoreSentiment Analysis
Sales & Marketing
Among the tools of Big Data, sentiment analysis is one that helps to analyze social networking posts and comments.
Read MoreRecommendation Engines
Customer Analytics/ Sales/ Marketing
Modern recommendation engines use matching algorithms processing the data and attach tags to the words bearing emotional attitude
Read MoreReal- time Analytics
Customer Analytics/ Sales/ Marketing
Real-time prediction based on current trends and behaviors from all data sources is key.
Read MoreCustomer Sentiment Analysis
Customer Analytics/ Sales/ Marketing
Media and entertainment companies must analyze the sentiments of their customer groups.
Read MoreNon-Medical Related AI
Operations
AI is also affecting largely unseen aspects of BioTech and Pharmaceuticals. Things like marketing, lab assistants, and administrative work
Read MorePersonalized Marketing
Customer Analytics/ Sales/ Marketing
For media and entertainment companies, attracting customers’ attention becomes an important prerogative
Read MoreDiagnostics
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
Read MoreOutlier Detection / Insight Discovery at High Data Velocity
C+E99ustomer Analytics/ Sales/ Marketing
Setting up a data pipeline with warehousing, collection models, filtering, storage, and processing requires significant effort.
Read MorePersonalized Medicine
Research & Development
Drug discovery is one thing, but biotech companies are hoping to utilize AI to provide more personalized medicine in the next decade.
Read MoreAgriculture
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
Read MoreDrug Discovery
Research & Development
Biotechl companies use the insights from the patient information such as mutation profiles and patient metadata.
Read MoreData Science for Genomics
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.
Read MoreCustomer Experience – Chatbots, Image Processing, Customer Onboarding, Customer Service Level improvement
Customer Service Department
Using an intelligent chatbot, customers can get all their queries resolved in terms of finding out their monthly trading, investment products,
Read MoreRisk Management
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
Read MoreSentiment Analysis
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.
Read MoreInvestment Predictions
Risk
The fact that machine learning-enabled technologies give advanced market insights allows the fund managers to identify specific
Read MoreFinancial Monitoring
Risk
Machine learning algorithms can be used to enhance network security significantly. Data scientists are always working on training systems to
Read MoreFinancial Advisory
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,
Read MoreAlgorithmic Trading
Risk
Algorithmic Trading is the most important part of financial institutions. In algorithmic trading, there are complex mathematical formulas
Read MoreFraud detection and Prevention
Risk
Financial organizations use it to monitor a considerable amount of transaction parameters at once for every account in real time.
Read MorePortfolio Management
Customer Service Department
Portfolio management is an online wealth management service that uses statistical points of the issue as well as automatized algorithms to
Read MoreCredit Scoring
Risk
The so-called credit scoring system assesses a person’s creditworthiness and credit risks, based on numerical statistical methods.
Read MoreAutomating Workflows like Underwriting
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.
Read MoreStock Market Forecasting
Risk
Predictions of stock market fluctuations are often underestimated in the trading sector and even considered pseudoscientific.
Read MoreAsset Valuation and Management
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.
Read MoreCredit Scoring
Risk
The so-called credit scoring system assesses a person’s creditworthiness and credit risks, based on numerical statistical methods.
Read MoreCustomer Data Management
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.
Read MoreCustomer Experience – Chatbots, Image Processing, Customer Onboarding, Customer Service Level improvement
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.
Read MoreAsset Valuation and Management
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.
Read MoreFraud detection and Prevention
Risk
Financial organizations use it to monitor a considerable amount of transaction parameters at once for every account in real time.
Read MoreRisk Management
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
Read MoreFinancial Monitoring
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,
Read MoreSentiment Analysis
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.
Read MoreFinancial Advisory
Sales
Robo-advisors work like the regular financial advisors. As a rule, they target investors who have limited resources and want to manage
Read MoreClaims Automation
Claims
A number of machine-learning-based technologies allow insurance companies to automate the claims process, reducing the waiting
Read MoreCustomer Experience – Chatbots, Image Processing, Customer Onboarding, Customer Service Level improvement
Customer Service Department
Using an intelligent chatbot, customers can get all their queries resolved in terms of finding out their monthly trading, investment products,
Read MorePersonalization
Sales
By creating a personalized insurance profile for their clients, insurance companies can achieve significant results in attracting new and retaining old customers
Read MoreManaging Data Regulation and Privacy Compliance
Compliance
Flexibility in production of analytics and integration of Machine Learning in regulatory-related controls are significant regulatory transformation enablers.
Read MoreAutomating Workflows like Underwriting
Underwriting
Machine learning can leverage fuzzy matching to encode baseline underwriting logic in addition to an evolving algorithm
Read MoreClaims Triage and Forecasting / Claims Automation
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.
Read MoreMarketing Propensity Models
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.
Read MoreChurn Prediction
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.
Read MoreCusomized and dynamic investment Profiling
Sales/Marketing
Insurance companies can leverage the depth of understanding they have of their clients and evolving financial needs to offer
Read MoreFraud Detection
Risk
Fraud detection is one of the most pressing use cases in the insurance industry, and AI can generate incredible efficiency and value gains.
Read MorePrice Optimization
Sales/Marketing
Price optimization techiniques focus on finding the price that maximizes a defined cost function (or company’s margin), considering
Read MoreCustomer Data Management
Data Management
Financial Institutions need data. As a matter of fact, big data has revolutionized the way in which financial institutions function.
Read MoreCustomer Experience – Chatbots, Image Processing, Customer Onboarding, Customer Service Level improvement
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.
Read MoreChurn Prediction
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.
Read MoreMarketing -Propensity Model
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.
Read MoreReal – Time Predictive Analysis
Risk
Machine learning algorithms are a promising tool used to predict trends in the financial market.
Read MoreRecommendation Engines
Sales
The idea of the project is to have a recommendation system that can recommend products to customers.
Read MoreCustomer Segmentation
Sales/Marketing
Customer segmentation is the practice of dividing a company’s customers into groups that reflect similarity among customers in each group.
Read MoreCustomer Lifetime Value
Sales/Marketing/Risk
A Customer Lifetime Value offers a discounted value of the future revenues that are contributed by the customer.
Read MoreRisk Modeling/ Credit Scoring
Risk
The so-called credit scoring system assesses a person’s creditworthiness and credit risks, based on numerical statistical methods.
Read MoreFraud Detection
Risk
Banking organizations use it to monitor a considerable amount of transaction parameters at once for every
Read MoreLocation of New Stores – Location Analysis
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
Read MoreImprove Customer Service
Sales / Sales platform /Customer Engagement
Big data analytics offers businesses the potential to enhance their processes so that customers enjoy transacting online.
Read MorePowering Augmented Reality
.
Many multinational companies, has been experimenting with new technologies to implement augmented reality in the shopping experience.
Read MoreWarranty Analytics
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.
Read MoreCustomer Lifetime Value Prediction (LTV)
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).
Read MoreFraud Detection
Sales/Finance/Fraud
A fraud detection system helps companies to decrease unidentified transactions and increase company revenue and brand value.
Read MorePrice Optimization
Sales
Price optimization techniques focus on finding the price that maximizes a defined cost function
Read MorePersonalization
Sales / Sales platform /Customer Engagement
Personalization is the process of creating customized, pleasing experience for visitors.
Read MoreInventory management
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.
Read MoreCustomer Segmentation
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.
Read MoreMarket Basket Analysis
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.
Read MoreCustomer Sentiment Analysis
Sales / Sales platform /Media Engagement/Marketing/ Market Research
The Natural Language Processing analyzes text data to extract information.
Read MoreCustomer Retention Analysis
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.
Read MoreRecommendation systems on the platform
Sales / Sales platform /E-commerce
The idea of the project is to have a recommendation system that can recommend products to customers.
Read More