Real-World Applications of AI

 

Our goal is to help enterprises use data as a strategic resource and build specialized AI systems that produce actionable insights to drive business value, automate manual and repetitive tasks, solve critical problems with STEM principles, and develop innovations that improve the world.

 

AI is widely being applied across various sectors in the real world today including the automobile industry, robotics, drones, biotechnology, finance, agriculture, and government to solve complex problems that would otherwise have been impossible to solve with traditional approaches and rule-based systems.

 

This transformative technology is opening new doors every day across different domains and problems, and showcasing its potential to solve challenges previously unknown.

 

Leading organizations are discovering the profound impact that AI has on their bottom line and are using it to learn from the vast amount of data available to extract value, automate processes, and produce actionable insights.

The following list depicts some of the real-world applications of AI, and how it can transform your organization with an AI-driven business model to build a competitive advantage in your industry. 

 

Financial Services

Financial data is produced in many different ways including transaction details, accounting, mobile interactions, server logs, real-time market feeds, customer service records, CRM applications, and many other data streams.

Our AI solutions offer a variety of benefits to the financial services industry and their customers such as personalized banking experience, improved processing, and greater insights to gain a comprehensive understanding of markets, consumers, channels, products, regulations, competitors, suppliers, employees and more.

We are experts at transforming disparate sources of data into value by building sophisticated business intelligence apps, chatbots and AI-driven financial systems that help answer critical business questions, create new financial products, optimize the health lending markets, forecast future market trends, improve security, better assess risks, and meet regulatory compliance.

 
 

Government 

AI can transform the public sector by rapidly analyzing all of its information assets at once to spot hidden trends, and predict outcomes in everything from weather forecasting, education, natural hazards and disasters, politics, transportation, energy, national security, conservation, finance, and economic performance.

Additionally, it can help modernize government services with more customized programs, enable transparency by digitizing information, publicize government data sets, and implement fact-based insights to improve decision making and public laws. 

 

Our services can benefit the government by processing and analyzing its enormous quantities of data assets to uncover new insights using AI algorithms that help prevent waste, fraud and abuse, anticipating quality and maintenance issues, combat cyber-attacks, reduce climate change, safeguard sensitive information, advance science and technology, foster global productivity, protect wildlife, manage energy, advance space R&D, improve economic decisions, fight poverty, enhance education, strengthen national defense intelligence and more.

 

Manufacturing

With the huge quantities of data being produced from internal and external sources such as sensors, processors, assembly lines, and manufacturing machines, AI is key for manufacturers to stay competitive in the global economy.

It enables companies to tap into hidden insights that help avoid revenue losses, reduce unplanned downtime, accelerate time to market, improve quality, predict defects or failures, and boost revenues.

Our experts help create a competitive advantage using cutting-edge AI algorithms that anticipate quality and maintenance problems before they cause real damage, forecast supply and demand, improve inventory management, create more efficient machines and components, and automate manual processes to increase productivity and earnings.

Retail

As retail data increases exponentially each year, retailers need to take advantage of the large amount of internal, external, structured, and unstructured data to unlock opportunities to maximize revenues in essential business functions such as marketing, operations, supply chain, merchandising, and finance.

Our AI team can improve the customer experience by developing models to understand and model profitable behaviors, enhance customer service and personalization with AI assistants, improve customer retention, make recommendations based on shopping trends, identify cross-selling opportunities, ensure more relevant marketing campaigns to achieve optimal ROI, and improved demand-driven forecasting.

 
 

Legal

AI is also having a strong impact in the Legal industry as a result of increased digitization of documents and natural language processing (NLP) capabilities.

These new NLP capabilities can boost productivity for law practitioners by automating repetitive tasks such as large document searches, extracting semantic meaning from queries, determining important points and dynamic topics in text, automatically generating text and arguments based on evidence, summarizing documents, understanding topic networks, and connections, and AI legal assistants to answer questions and improve user experience.

Healthcare

The healthcare sector produces a vast amount of data on a daily basis from various sources including medical records, surveys, insurance claims, medical billing, personal genetic data, diagnostic instruments, medical imaging, and laboratory systems.

 

This enormous amount of structured and unstructured data offers a great opportunity to use AI technologies to extract insights and transform them into actionable information that can be used to solve the most critical challenges facing our world.

 

Moreover, AI is transforming the healthcare industry with applications in medical image processing, NLP for medical records, drug effectiveness and discovery, genetic analysis, disease prevention and management, medical diagnostics, predicting patient readmission rates, healthcare fraud detection, improving patient experience, and performing trend analysis on different demographics.

 

Sports

With the massive growth of data in the sports industry being produced from new sports statistics, sales transactions, social media, and new technologies pulling real-time player and game metrics, sports franchises now have access to a gold mine of data.

 

AI techniques can be applied to identify valuable insights that improve performance on and off the field and create a winning strategy. 

 

Our experts provide AI-driven insights to help anticipate player safety issues and prevent injuries, provide competitive intelligence to predict plays and strategies that their opponents are most likely to use, automatically analyze and understand video and image content with computer vision and mixed reality, discover ways to attract and retain new fans, and increase profitability by improving the accuracy of operational plans and budgets.

 

Transportation

The Transportation industry is a fast-growing and dynamic sector that is essential to the global community. It provides transport services for traveling passengers and freight to every corner of the world.

 

This rapid growth generates significant value, but it also brings certain challenges such as information overload, safety and security, logistics inefficiency, passenger experience, and sustainability.

 

Transportation companies can employ AI to this vast amount of data to effectively withdraw insights and translate it into value with applications ranging from personalized offers, passenger experience, demand forecasting, safer commutes, route optimization, predictive maintenance, fraud detection, and predicting travel delays.

 

Aerospace

The aerospace industry faces some of the most difficult tasks of managing the uptake and safety of large aircraft on a daily basis. Traditionally, many carriers have relied on reactive approaches for maintenance which leads to extra downtown, delayed flights, aircraft-on-ground issues, unplanned maintenance, and massive revenue losses.

 

Additionally, this is a huge challenge for airlines because maintenance and quality assurance requires gathering and analyzing complex interconnected data sources to ensure that all systems are communicating together and functioning optimally.

 

AI is transforming the aerospace industry by enabling airlines to rapidly analyze enormous amounts of historical data using AI-based quality and maintenance techniques to make repairs at the right time and prevent issues before they occur. This is having a major impact on aerospace maintenance strategies by optimizing maintenance, repair and overhaul plans, and also producing huge savings annually.

 

Games

Some of the most exciting and fun applications in AI have been made possible through the development of self-learning algorithms. Recent advances in the games and creative industries are bringing superhuman capabilities to machines which are capable of defeating the world’s best Go player.

 

These innovative algorithms are transforming the gaming industry by enabling machines to play video games, traditional board games, and even create virtual game characters for immersed reality.

 

Agriculture

Over the next generation, the agriculture industry will have to address several major challenges such as global population growth, climate change, food security, and labor availability.  

To meet these challenges, the industry must evolve and harness data in new ways to provide better insights, produce more food with less land and resources, optimize nutritional value, improve efficiencies, and lower costs.

The agriculture industry is seeing increased adoption of AI in terms of products, IoT, remote sensing, autonomous devices, and in-field farming robots.

AI technology is transforming agriculture by unlocking new insights with a more complete view of farms, identifying optimal crops to grow, recognizing disease better, improving livestock and crop health, forecasting weather patterns, fighting pests faster, boosting productivity with robotics, and connecting farmers and retailers more easily.

 

Energy

Large volumes of operating data flow in from a variety of sources in the energy industry that quickly extracting insights is a significant challenge. Dealing with these big data sets requires new technologies and approaches to efficiently process and store the large quantities of data.

 

We are experts at developing cutting-edge AI solutions that uncover hidden insights in the data and improve profitability and efficiency. Our modern AI solutions create value for enterprises by enabling the discovery of new energy sources, increasing productivity, reducing costs, optimizing logistics and delivery of energy, anticipating quality and maintenance issues, predicting future performance, forecasting supply and demand, and increasing ROI.

 
 

Pharmaceutical

AI has the potential to revolutionize healthcare and solve some of the most critical problems in the world.

Society benefits from medical breakthroughs and innovations in drug discovery, disease reduction, accurate diagnostics and personalized treatment, and avoiding negative outcomes from clinical trials using data-driven foresight. 

 

Our AI experts can help reduce costs by enabling drug companies to rapidly discover new drugs in a fraction of the time and cost, implement targeted marketing and sales campaigns, better patient follow-ups and tracking using sophisticated monitoring devices, and real-time data and high-performance AI tools to accelerate medical R&D.

 

Robotics

AI’s ability to boost productivity by automating manual processes makes it an obvious choice for the robotics industry. Until recently, robots were not considered useful for most businesses because they were too expensive, and it was too difficult to program a robot to recognize and grasp objects of various sizes and shapes.

However, newer AI algorithms are transforming the robotics industry by learning from a combination of data and experience, and self-learning programs to perform a wide variety of tasks. Modern AI approaches can now help solve challenging tasks in robotics such as grasping, locomotion, flight, machine vision, and object manipulation.

Education

AI can transform the education industry by improving student learning and providing better support for teachers and learners. These intelligent systems are reshaping the educational experience of the future by providing novel ways of teaching and upskilling students for work in the AI era.

 

Some of the key applications that are revolutionizing education include individualized learning, automating grading, identifying gaps in courses that need improvement, AI assistant tutors, locating and interacting with information, student recruiting, and course and career selection.

 

Remote Sensing

An exciting trend has emerged of applying AI to high variability remote sensing data. However, processing and analyzing this data presents several challenges such as high variability, multiple scales and observation angles, cloud cover, and missing data.

 

Our engineers apply AI and other GIS techniques to remote sensing data to extract insights about our planet, and develop applications for monitoring disaster zones, identifying green spaces, land use classification, wildlife tagging and counting, tracking deforestation, detecting building footprints, segmenting road networks, and predicting socioeconomic indicators for poverty reduction.

 
 

Conservation

Some of the main challenges facing wildlife today include habitat loss, climate change, and threats from illegal wildlife trade. Multi-faceted approaches to using AI are helping conservationists capture and analyze wildlife data from extreme environments to better understand and protect the species.

 

Recent developments in technology and AI are enabling scientists to solve difficult challenges faster in conservation and ecology by speeding up analysis from months to days. Conservationists can easily apply state-of-the-art AI technologies to track animals and migrations, monitor population sizes, rapidly identify species, extract behavioral insights, and combat environmental and human risk factors.

 

Telecommunications

AI promises tremendous growth and profitability for telecom providers if they can leverage it to understand customer behavior and identify opportunities for new innovative products and services. Our modern AI systems enable telecom providers to analyze complex data sources and make informed decisions in near real time with unparalleled efficiency, performance, and scalability.

 

We auto-generate actionable insights that provide a complete picture of your customers and help you gain a competitive advantage using customized AI-driven strategies. Our AI teams create state-of-the-art algorithms that help improve operational performance, eliminate process inefficiencies, provide behavior-based customer insight, opportunities for new services, and increase profit margins.

 

Insurance

With access to data from a wide variety of sources, insurers have a great opportunity to better understand many different types of risks and deliver greater value to customers and society.

 

The major challenge for insurance companies is in deciding how to put it to good use and create possibilities for innovation. Our experts will help insurers gather and combine data from disparate sources and develop AI strategies that allow insurers to look at the full picture and create a competitive advantage.

 

We empower organizations to improve their pricing accuracy, create customized products and services, forge stronger customer relationships, and facilitate more effective fraud and risk management processes.

Cybersecurity

Our innovative cybersecurity services offer a methodology for designing, managing, and operating a balanced enterprise cybersecurity program that is pragmatic and realistic in the face of resource constraints and other real-world limitations. We offer an effective program that facilitates the coordination of policy, IT lifecycle (strategy, engineering, operations), cybersecurity assessments, and cybersecurity programmatics (people, budget, technology) throughout all points of the security lifecycle. Using a combination of offensive, preventive, detective and reactive security techniques fused with modern AI capabilities, we can provide new abilities to disrupt, detect, delay, and defeat targeted cyberattacks.

Core Competencies:

 

  • Cybersecurity

  • Information Assurance

  • Security Systems

Interested in adopting AI in your industry?

 
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