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Use Cases

Optimizing Radio Parameters Using AI

Optimizing Radio Parameters Using AI

Improving Service Quality With Machine Learning

Improving Service Quality With Machine Learning

Smart Power Management for Telecom with AI

Smart Power Management for Telecom with AI

Intelligent Network Monitoring Driven By AI

Intelligent Network Monitoring Driven By AI

Combating Fraud in Telecom Industry With AI

Combating Fraud in Telecom Industry With AI

AI and IOT Driven Cashierless Retail

AI and IOT Driven Cashierless Retail

Smarter Staffing & Scheduling With Machine Learning

Smarter Staffing & Scheduling With Machine Learning

Voice Ordering Powered By NLP At Restaurants

Voice Ordering Powered By NLP At Restaurants

Machine Learning Driven Competitor Analysis

Machine Learning Driven Competitor Analysis

Enhancing In-Store Customer Experience With Face Recognition

Enhancing In-Store Customer Experience With Face Recognition

Automated Inventory Management With AI

Automated Inventory Management With AI

Smarter Policymaking Using Machine Learning

Smarter Policymaking Using Machine Learning

Predicting Social Problems With AI

Predicting Social Problems With AI

Smarter AI Powered Traffic Management

Smarter AI Powered Traffic Management

Identifying Fraudulent Claims With AI

Identifying Fraudulent Claims With AI

Surface Analysis Using Machine Learning

Surface Analysis Using Machine Learning

Reducing Well Downtime With Machine Learning Systems

Reducing Well Downtime With Machine Learning Systems

Computer Vision Aided Defect Detection

Computer Vision Aided Defect Detection

AI Powered Emission Tracking

AI Powered Emission Tracking

Social Media Listening With NLP

Social Media Listening With NLP

AI Powered Voice Search

AI Powered Voice Search

Smarter Lead Generation Using Machine Learning

Smarter Lead Generation Using Machine Learning

Visual Search Powered By Computer Vision

Visual Search Powered By Computer Vision

Machine Learning Powered Product Recommendation Engine

Machine Learning Powered Product Recommendation Engine

AI Powered Chatbot Virtual Assistants

AI Powered Chatbot Virtual Assistants

Product Quality Assurance Using Computer Vision

Product Quality Assurance Using Computer Vision

Workforce Health & Workplace Safety Using AI

Workforce Health & Workplace Safety Using AI

Demand Forecasting Using Machine Learning

Demand Forecasting Using Machine Learning

Computer Vision Systems for Smart Inventory Management

Computer Vision Systems for Smart Inventory Management

Rapid Digitization In Manufacturing Aided by AI

Rapid Digitization In Manufacturing Aided by AI

Claim Fraud Detection and Prevention Using Machine Learning & NLP

Claim Fraud Detection and Prevention Using Machine Learning & NLP

AI Assisted Claims Processing

AI Assisted Claims Processing

AI Powered Insurance Underwriting

AI Powered Insurance Underwriting

Personalized Recommendation Systems Using Machine Learning

Personalized Recommendation Systems Using Machine Learning

AI and the Internet of Medical Things (IoMT) for Preventative Healthcare

AI and the Internet of Medical Things (IoMT) for Preventative Healthcare

Faster Development Of Drugs Using Machine Learning

Faster Development Of Drugs Using Machine Learning

Revolutionizing Remote Patient Monitoring with AI

Revolutionizing Remote Patient Monitoring with AI

Improved Identification of Brain Tumors Using Deep Learning and Computer Vision

Improved Identification of Brain Tumors Using Deep Learning and Computer Vision

Machine Learning for Effective Diagnosis of Diseases

Machine Learning for Effective Diagnosis of Diseases

Patient Pre-Screening With Machine Learning and NLP

Patient Pre-Screening With Machine Learning and NLP

Predicting Loan Eligibility in Seconds Using Machine Learning

Predicting Loan Eligibility in Seconds Using Machine Learning

AI For Combating Anti Money Laundering (AML)

AI For Combating Anti Money Laundering (AML)

Predict Possible Loan Default Using Machine Learning

Predict Possible Loan Default Using Machine Learning

ATM Cash Optimization Using Machine Learning

ATM Cash Optimization Using Machine Learning

Customer Churn Prediction & Prevention Using Machine Learning

Customer Churn Prediction & Prevention Using Machine Learning

Know Your Customer (KYC) Automation With AI

Know Your Customer (KYC) Automation With AI

Increasing Click-Through-Rates Of Marketing Campaigns

Increasing Click-Through-Rates Of Marketing Campaigns

Shaping The Future Of Debt Collection Using AI

Shaping The Future Of Debt Collection Using AI

Hyper-Personalization Of Services Using Machine Learning

Hyper-Personalization Of Services Using Machine Learning

Personalized learning for educational institutions

Personalized learning for educational institutions

Leveraging AI for fraud prevention in banks

Leveraging AI for fraud prevention in banks

Predictive maintenance of equipment for reducing repair cost & increased uptime

Predictive maintenance of equipment for reducing repair cost & increased uptime

AI for analyzing car accident damage and processing of insurance claims

AI for analyzing car accident damage and processing of insurance claims

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Optimizing Radio Parameters Using AI

The Problem It can take telecom companies thousand of hours to perform a network-wide analysis for optimizing radio parameters using conventional approach. Optimized radio parameters can increase...

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Improving Service Quality With Machine Learning

The Problem It is vital for telecom companies to provide and maintain good service in order to retain customers. Good service correlates to business growth and customer...

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Smart Power Management for Telecom with AI

The Problem Telecom operators across the globe are proactively working towards making networks sustainable using green energy and by reducing energy consumption. This is also vital for...

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Intelligent Network Monitoring Driven By AI

The Problem The size of telecom networks has increased manifolds in the recent years. Troubleshooting and monitoring the network manually is now becoming quite tedious and nearly...

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Combating Fraud in Telecom Industry With AI

The Problem Telecom fraud has existed for quite a long time now. The earliest instance dates back to the 19th century. Telecom fraud costs the industry billions...

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AI and IOT Driven Cashierless Retail

The Problem The entire retail industry is shifting to a model where cashiers will no longer be required. Leading tech giants have showcased how the concept of...

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Smarter Staffing & Scheduling With Machine Learning

The Problem Conventional ways of workforce planning rely on tedious manual processes. These methods do not provide dynamic abilities for workforce scheduling that is much needed for...

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Voice Ordering Powered By NLP At Restaurants

The Problem It is estimated that 27% of the global population uses voice search online. Voice assistants have simplified a wide range of complex tasks across different...

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Machine Learning Driven Competitor Analysis

The Problem It is vital for businesses to get insights into competitor behaviour. Businesses usually have access to information and data related to competitors from multiple sources...

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Enhancing In-Store Customer Experience With Face Recognition

The Problem In a competitive market, retail stores look to gain competitive advantage by providing their customers a shopping experience that is unique. Retailers are on the...

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Automated Inventory Management With AI

The Problem Accurately managing inventory is a critical challenge for retailers and has a direct impact on their business growth and customer experience. It is important for...

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Smarter Policymaking Using Machine Learning

The Problem Policymaking, by nature, is a lengthy and complex process. The process of gathering data to support new policies or to prove their effectiveness is especially...

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Predicting Social Problems With AI

The Problem AI has majorly impacted different industries around the world by improving employee productivity, customer experience and business growth. Can these technologies be used to improve...

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Smarter AI Powered Traffic Management

The Problem Traffic in major cities is getting worse over time. It is undoubtedly a major global problem. Traffic congestion has a major impact on traveling time,...

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Identifying Fraudulent Claims With AI

The Problem Different government departments earmark large sums of money for welfare and benefit programs. It is a known fact that fraudulent claims cost departments billions of...

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Advanced AI-Driven Back-Office Process Automation

The Problem Every organization has back-office operations that have to be dealt with a day-to-day basis. These tasks may include: accounting, payroll, purchase order processing, data entry,...

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Surface Analysis Using Machine Learning

The Problem Oil and Gas companies are on the lookout for oil seeps and reserves deep inside the earth or the ocean. The geological assessment is called...

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Reducing Well Downtime With Machine Learning Systems

The Problem Improving efficiency of operations and reducing downtime for critical equipment has become vital for oil and gas companies to avoid losses. Unplanned failures in critical...

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Computer Vision Aided Defect Detection

The Problem Organizations still rely on manual inspection for defect detection. Visual inspection performed by humans, however, have limitations as the results vary depending on several factors...

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AI Powered Emission Tracking

The Problem Organizations globally are looking at methods to effectively reduce their carbon footprint. Organizations need a way to first track emissions and then take steps to...

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Analytics Driven Decision Making

The Problem Organizations have large volumes of data related to different aspects regarding their business coming in from multiple sources. It is impossible for humans to process...

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Social Media Listening With NLP

The Problem Organizations which do not have a social media listening strategy are missing out on valuable data available to help improve their organization. It is in...

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AI Powered Voice Search

The Problem According to a report by PwC, 71% of consumers would prefer to use voice search instead of typing the query out manually. Voice search is...

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Smarter Lead Generation Using Machine Learning

The Problem Lead generation can be quite complex for organizations. Organizations run marketing campaigns, host events, and try to engage with potential customers across digital channels for...

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Visual Search Powered By Computer Vision

The Problem Customers on e-commerce platforms and other websites have primarily used the search bar for discovering new products or information. Traditional form of search does not...

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Machine Learning Powered Product Recommendation Engine

The Problem A typical online shopper sees thousands of e-commerce product recommendations in a week via multiple channels. It is important that organizations be able to recommend...

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AI Powered Chatbot Virtual Assistants

The Problem Many organizations are using chatbots to automate multiple aspects about customer experience. Organizations using chatbots are realizing significant cost savings and becoming more efficient. Chatbots...

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Product Quality Assurance Using Computer Vision

The Problem Many manufacturers still rely on manual inspection for quality assurance, especially detection of flaws on the assembly line. Visual inspection performed by humans, however, have...

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Workforce Health & Workplace Safety Using AI

The Problem Manufacturers worldwide consider health and safety of their workforce crucial. While many organizations use traditional preventive methods like workforce training, putting up posters and providing...

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Demand Forecasting Using Machine Learning

The Problem Accurately forecasting demand can help manufacturers plan production effectively and reduce inventory costs. Many manufacturers still use conventional methods for forecasting demand to manage their...

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Computer Vision Systems for Smart Inventory Management

The Problem It can be really challenging for manufacturers to locate stock in a large warehouse. Additionally, monitoring overall inventory with accuracy and efficiency can be even...

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Rapid Digitization In Manufacturing Aided by AI

The Problem Manufacturing companies deal with a large volume of documents on a day-to-day basis. Extracting data from these incoming documents and transforming it into a digital...

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Claim Fraud Detection and Prevention Using Machine Learning & NLP

The Problem Claim fraud costs insurance companies billions of dollars each year. It is not easy to detect claim fraud, which is a labour-intensive task and requires...

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AI Assisted Claims Processing

The Problem Insurance companies are now offering new ways of submitting claims via multiple channels including web portals and mobile apps. However, processing these claims requires...

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AI Powered Insurance Underwriting

The Problem Insurance companies have spent substantial amounts of money to digitize the process of customer onboarding and policy binding. However, progress has been slow and incremental...

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Rapid Document Digitization with NLP

The Problem To be able to derive analytics from data it is first required to collect and organize data in a digital format. Doing this task manually...

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Personalized Recommendation Systems Using Machine Learning

The Problem Insurance customers have different lifestyles, needs and preferences. Promoting the same policies across all customer segments is not going to yield good results. Customers expect...

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AI and the Internet of Medical Things (IoMT) for Preventative Healthcare

The Problem The market is flooded with wearable fitness and medical devices such as Apple Watch, Fitbit, Garmin and more, which consists of sensors for monitoring various...

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Faster Development Of Drugs Using Machine Learning

The Problem Developing a new medicine to successfully treat a disease could take years of research. It is estimated that developing a new treatment takes an average...

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Revolutionizing Remote Patient Monitoring with AI

The Problem Remote Patient Monitoring (RPM) has been around for some time now. Conventional RPM involves using a remote camera to monitor patients remotely. While this can...

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Improved Identification of Brain Tumors Using Deep Learning and Computer Vision

The Problem Clinicians generally use MRIs and biopsies for diagnosis of brain tumors. While biopsies are considered the standard to help identify the type of tumor, they...

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Machine Learning for Effective Diagnosis of Diseases

The Problem It takes clinicians several years of medical training to correctly diagnose diseases. Diagnostics is a laborious and time-consuming process. Often, the demand for experts far...

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Patient Pre-Screening With Machine Learning and NLP

The Problem Patient pre-screening adds value even before a patient arrives at a medical facility to seek care. However, the current methods of pre-screening, which mostly consists...

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Predicting Loan Eligibility in Seconds Using Machine Learning

The Problem Lending is a huge business area for banks. With a big demand for loans and the number of loan applications increasing greatly, the time it...

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AI For Combating Anti Money Laundering (AML)

The Problem As criminals get more sophisticated with time, banks need to use cutting edge technologies to stay one step ahead of the offenders. Traditional Anti Money...

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Predict Possible Loan Default Using Machine Learning

The Problem With everyone from young students, entrepreneurs, and multi-million-dollar companies turning to banks to seek financial support, it is important that banks minimize the risk of...

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ATM Cash Optimization Using Machine Learning

The Problem Despite widespread perception that usage of cash will come to an end soon, the value and volume of cash continues to increase yearly across different...

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Customer Churn Prediction & Prevention Using Machine Learning

The Problem According to reports, cost of acquiring new customers is considerably higher than retaining existing customers. Churn also equates to lost revenue. Even a 1% churn...

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Know Your Customer (KYC) Automation With AI

The Problem Know Your Customer (KYC) is a set of standards that makes it mandatory for banks to verify the identity of their customers before they can...

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Increasing Click-Through-Rates Of Marketing Campaigns

The Problem Banks spend millions of dollars on digital advertising every year. Marketers needs to continuously optimize their strategies to ensure effectiveness of their campaigns. A higher...

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Shaping The Future Of Debt Collection Using AI

The Problem Debt levels for individuals and companies across the world have been increasing. Not all borrowers of a bank can meet their obligations, leading to the...

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Hyper-Personalization Of Services Using Machine Learning

The Problem Competition is rising in the banking space, with digital-only banks and other digital providers offering innovative financial products and services with multiple benefits to customers...

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Personalized learning for educational institutions

The Problem Every student has his/her own potential and weakness. It is practically very difficult for teachers in educational institutions to provide a learning experience customized to...

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Leveraging AI for fraud prevention in banks

The Problem More and more people are completing financial transactions online today. Things that people used to buy at retail stores are being purchased online. Detecting fraud...

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Predictive maintenance of equipment for reducing repair cost & increased uptime

The Problem One of the major challenges faced by the manufacturing industry is not being able to accurately predict when an equipment requires maintenance. Predicting such requirements...

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AI for analyzing car accident damage and processing of insurance claims

The Problem A report by McKinsey states that 5-10% of insurance claims are considered fraudulent, costing US insurers more than USD 40 billion every year. Insurance companies...

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