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How AI is Revolutionising the Medtech Industry

The integration of Artificial Intelligence into the MedTech industry is revolutionising healthcare in unprecedented ways. From diagnostics to treatment plans, AI algorithms are enabling medical professionals to make more accurate and timely decisions. Here’s a closer look at how AI is making waves in various medical fields.

How is AI used in MedTech?

Companies like Paige and Pictor Labs are using Generative AI to enhance the quality of pathology slides, thereby improving the accuracy of diagnostics. These advancements are not just limited to diagnostics but extend to the overall quality of MedTech products and services.

What is the use of AI in the biomedical field?

AI is making significant contributions to biomedical science. For instance, it’s being used to improve movement-related issues stemming from birth defects, injuries or neurological and cardiovascular diseases. AI algorithms are also capable of predicting behaviour and nerve responses to stimuli.

What is the role of AI in the medical industry?

AI is assisting clinicians in taking a more comprehensive approach to disease management. It helps in better coordinating care plans and enables patients to manage and comply with their long-term treatment programs more effectively. AI is particularly useful in identifying individuals who may be at risk of an adverse episode due to chronic illness.

What are the advances in AI in medicine?

AI systems are accelerating drug discovery for neglected diseases, combating antibiotic resistance, and even contributing to the development of novel malaria vaccines. These applications are shedding light on genetic variations and gauging the impact of viruses like rotavirus on gastroenteritis.

What is the role of AI in medical imaging?

Researchers at Tulane University have found that AI can accurately detect and diagnose colorectal cancer by analysing tissue scans, sometimes outperforming pathologists. This promotes early intervention and could be a game-changer in medical imaging.

What are examples of AI in biomedical research?

NIBIB-funded researchers are using AI for early diagnosis of Alzheimer’s disease through the analysis of brain networks. Other applications include predicting blood glucose levels using wearable sensors and enhanced image analysis for improved colorectal cancer screening.

What is an example of AI in biomedical engineering?

AI-powered imaging analysis can detect early signs of diseases such as cancer, Alzheimer’s, and heart disease. This enables earlier intervention and has the potential to save lives.

What is an example of AI in medical imaging?

In radiology, AI applications provide estimates of the likelihood of complications based on imaging. For example, an AI system can conclude that a breast lesion has a 10% chance of being malignant, aiding in more accurate diagnoses.

In conclusion, by leveraging AI, the MedTech industry is not only improving the quality of healthcare but also making it more accessible. As AI continues to evolve, its applications in healthcare are expected to expand, offering both opportunities and challenges.

AI Talks

If you’re interested in learning more about how AI is transforming various industries, consider working with AI Ireland. We offer presentations tailored to your industry’s unique challenges and opportunities. To book a presentation, click here.

Also, don’t miss the chance to deepen your understanding of AI’s impact on business. Pre-order the book “AI Unleashed: Nativgating the AI revolution as a Business Executive” now to gain invaluable insights into leveraging AI for your organization.

Early Bird Tickets Now on Sale for the 2023 AI Awards.

The fifth annual AI Awards takes place on Tuesday November 21st at the Gibson Hotel. This is an exciting opportunity to connect and network with over 200 AI and Data professionals across the island of Ireland and hear from some of the most exciting AI applications across industry and academia spanning 12 award categories.

Don’t miss the opportunity to get your discounted Early Bird tickets now! Head over to aiawards.ie/tickets or Eventbrite and enter the discount code EarlyBird_AIA to get your ticket for just €100. Limited tickets available; Original Price €239. 

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AI in Finance: Transforming the Industry One Algorithm at a Time

The finance industry is undergoing a seismic shift, thanks to Artificial Intelligence. From automating mundane tasks to predicting market trends, AI is a critical tool reshaping the way that financial institutions operate. This article delves into real-life applications, challenges and the future of AI in finance, featuring case studies from leading companies in the sector.

How is AI used in the finance industry?

AI in finance serves multiple purposes, from personalising services and products to managing risk and fraud. For instance, JPMorgan Chase uses AI to analyse legal documents through its COiN program, automating operations and reducing costs.

What is the role of AI in the financial market?

AI algorithms, like those used by Goldman Sachs in its Marcus platform, can process vast amounts of data quickly and accurately. This enables financial institutions to manage risk better and create opportunities by analysing market trends and patterns.

What is an example of AI in finance?

Wealthfront, a robo-advisor, uses AI algorithms to manage investment portfolios. It combines classic portfolio theory and AI to offer personalised investment options based on clients’ financial positions.

How AI is changing the world of finance?

AI applications, such as the American Express fraud detection system, can analyse both financial and non-financial data more accurately and at a far greater speed than humans, enabling transparency and compliance.

Why AI is the future of finance?

AI-driven automation, like that seen in Credit Karma, can significantly reduce operational costs, making financial institutions more competitive and profitable.

Why AI is the future of financial services?

AI can provide faster and more accurate customer support 24/7. Bank of America’s chatbot, Erica, is an example of how AI is revolutionising customer service in the finance industry.

How AI will impact the accounting and finance industry?

AI is also transforming accounting departments. American Express’ Business Line of Credit (formerly Kabbage) uses machine learning to automate the underwriting process for small business loans, allowing professionals to focus on more strategic initiatives.

Will AI replace the finance industry?

AI will transform roles but it will not entirely replace human analysts. Robinhood employs AI to offer personalised trading advice, showcasing the unique strengths of both AI and human financial analysts.

How AI is transforming the banking sector?

Banks like Square are investing heavily in AI and predictive analytics to make better decisions and provide customised services. AI tools are used for risk assessment and payment processing routes.

What are the concerns about AI in finance?

Risks such as embedded bias and privacy concerns are inherent in AI technology. For example, Adyen uses machine learning to optimise payment processing but faces challenges related to data privacy.

What are the problems with AI in finance?

Biases in AI models can arise due to various factors. ZestAI employs machine learning algorithms to analyse non-traditional credit data, but it also has to be cautious about algorithmic fairness and biases.

How AI is expected to change the future of finance?

In the near future, AI will enable better stock and cryptocurrency trading. Companies will improve trading as algorithms are more likely to identify complex trading signals rarely noticed by humans.

What are the benefits of AI in finance?

AI offers several key benefits, including improved operations, reduced costs, enhanced fraud detection, automated regulatory compliance, reduced risk and faster decision-making.

Conclusion

AI in finance is about learning patterns, data and developments. In conclusion, AI significantly contributes to the finance industry and will continue to keep financial services updated and ready to face the market.

 

Take the Next Step with AI Ireland

If you’re interested in exploring how AI can revolutionise your industry, consider booking a speaker and presentation from AI Ireland. For a deep dive into AI applications across sectors, pre-order our upcoming book, “AI for Executives.”

Early Bird Tickets Now on Sale for the 2023 AI Awards.

The fifth annual AI Awards takes place on Tuesday November 21st at the Gibson Hotel. This is an exciting opportunity to connect and network with over 200 AI and Data professionals across the island of Ireland and hear from some of the most exciting AI applications across industry and academia spanning 12 award categories.

Don’t miss the opportunity to get your discounted Early Bird tickets now! Head over to aiawards.ie/tickets or Eventbrite and enter the discount code EarlyBird_AIA to get your ticket for just €100. Limited tickets available; Original Price €239. 

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How AI is Transforming the Retail Sector

Artificial Intelligence is revolutionising the retail industry in unprecedented ways. According to the World Economic Forum, AI can significantly boost retail operations, enhance customer satisfaction and optimise business processes. Moreover, AI services in the retail sector are predicted to increase from $5 billion to above $31 billion by 2028. This article aims to provide a comprehensive overview of the transformative role of AI in retail, including its benefits, challenges and future prospects.

The Multifaceted Benefits of AI in Retail

Automation and Efficiency

AI algorithms automate repetitive tasks, thereby increasing operational efficiency. For instance, AI can manage inventory levels, predict stock-outs and even automate the reordering process.

Case Study: Nike’s AI-Powered App

Nike has developed an app that provides hyper-accurate shoe-fitting recommendations by scanning your foot using a smartphone camera.

Enhancing the Customer Experience

AI-powered chatbots and virtual assistants are becoming increasingly common in online retail platforms. These tools can handle a range of customer service tasks, from answering frequently asked questions to providing personalised product recommendations.

Case Study: eBay ShopBot

eBay’s ShopBot serves as a personal shopping assistant, helping customers navigate through eBay’s extensive array of over a billion listings to discover the most attractive deals.

Loss Prevention and Security

AI can play a crucial role in loss prevention by using advanced algorithms to analyse patterns and flag unusual activities, such as potential shoplifting or fraudulent transactions. This proactive approach can significantly reduce losses and improve store security.

Sustainability and Supply Chain Optimization

AI can analyse vast amounts of data to optimize supply chain operations. It can predict demand for products, identify the most efficient routes for transportation, and even foresee potential disruptions due to weather or other external factors.

Challenges in Implementing AI in Retail

Impact on Employment

There are concerns about the impact of AI on jobs in the retail sector. One report for the UK civil service found that “significant net employment reductions are projected in wholesale and retail, finance and public administration areas in the short to medium term”. However, AI is more likely to change the role of cashiers rather than eliminate it. By automating tasks like inventory tracking, AI can free cashiers to focus on more complex tasks requiring human interaction.

Data Security

With the increasing use of AI, the security of customer data has become a paramount concern. Retailers must invest in robust security measures to protect the vast amounts of data processed by AI algorithms. Failure to do so can result in data breaches, which can severely damage a brand’s reputation.

ROI and Skills Gap

The initial investment in AI technology can be high, but there’s a noticeable skill gap in the workforce when it comes to implementing and managing AI systems. Retailers must weigh the potential returns against the investment and training costs. Moreover, they need to upskill their workforce to effectively leverage AI’s capabilities.

The Future of AI in Retail

AI Trends in 2023

AI in retail is expected to grow significantly in the coming years. For instance, AI-powered chatbots are becoming increasingly sophisticated, providing instant customer support and improving overall customer satisfaction.

Generative AI in Retail

Generative AI is emerging as a powerful tool for creating highly realistic images of products for online stores, social media and other marketing materials.

Case Study: eBay and Generative AI

eBay is one of the biggest examples of using Generative AI in retail. The company uses Generative AI to create realistic product images, enhancing the online shopping experience and boosting sales.

 

In conclusion, AI is set to play a transformative role in the retail industry. Its ability to enhance the customer experience, streamline operations and improve efficiency makes it a game-changer for the sector. Despite the challenges, the future of AI in retail looks bright, with significant growth expected in the coming years.

Take the Next Step

If you’re interested in understanding how AI can be applied to your industry, consider booking a presentation from AI Ireland. Gain insights tailored to your specific needs and challenges. 

Additionally, for a comprehensive guide on leveraging AI in the business landscape, pre-order our book “AI for Executives.“

Early Bird Tickets Now on Sale for the 2023 AI Awards.

The fifth annual AI Awards takes place on Tuesday November 21st at the Gibson Hotel. This is an exciting opportunity to connect and network with over 200 AI and Data professionals across the island of Ireland and hear from some of the most exciting AI applications across industry and academia spanning 12 award categories.

Don’t miss the opportunity to get your discounted Early Bird tickets now! Head over to aiawards.ie/tickets or Eventbrite and enter the discount code EarlyBird_AIA to get your ticket for just €100. Limited tickets available; Original Price €239. 

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How AI is Transforming Healthcare: A Comprehensive Guide

Artificial Intelligence is rapidly becoming a cornerstone in healthcare, offering a myriad of applications that extend from administrative functions to advanced clinical support. In this article, we aim to provide a comprehensive overview of the various ways AI is impacting healthcare, its current market value, ethical considerations and future prospects.

How is AI Being Used in Healthcare?

Administrative Applications

AI’s role in healthcare administration is increasingly significant. Beyond just automating routine tasks like data entry and appointment scheduling, AI algorithms are now capable of handling complex claims processing. This not only streamlines administrative workflows, but also allows healthcare providers to focus more on patient care and strategic revenue cycle management.

Why is AI Important Today in Healthcare?

Deep Learning and Disease Detection

Deep learning technologies in AI are not just aiding in faster disease detection; they are revolutionising it. These technologies can analyse complex medical data to identify patterns that might be missed by human eyes. The result is more accurate diagnoses, personalised treatment plans, and a significant improvement in patient outcomes and safety.

How Much AI is Used in Healthcare?

Market Growth

The AI in healthcare market is experiencing exponential growth. From a valuation of $11 billion in 2021, it is expected to skyrocket to nearly $188 billion by 2030. This rapid growth, marked by a compound annual growth rate of 37% from 2022 to 2030, signifies the increasing reliance on AI technologies in healthcare.

What is an Example of AI in Healthcare?

Artificial Intelligence in Medical Assistance

Companies like Sensely are pushing the boundaries of what AI can do in healthcare. Sensely’s virtual nurse uses advanced Natural Language Processing, speech recognition and Machine Learning to interact with patients. It also integrates with medical devices, providing a holistic approach to medical assistance.

What are the Ethical Issues of AI in Healthcare?

The ethical landscape of AI in healthcare is complex and multi-faceted. Issues range from obtaining informed consent for data use to ensuring algorithmic fairness and tackling data privacy concerns. These ethical considerations are critical for the responsible deployment of AI in healthcare.

How are AI Robots Used in Healthcare?

Diagnostic Robots

AI-powered robots are making strides in diagnostics. These robots, equipped with advanced computational imaging capabilities, are capable of diagnosing a range of diseases. They leverage deep learning algorithms to analyse medical images, providing highly accurate diagnostic results.

How AI is Transforming the Future of Healthcare?

Personalised Medicine

AI’s impact on personalised medicine is profound. By leveraging predictive analytics and deep learning algorithms, AI can analyse a wide array of patient data. This includes electronic health records, genomic information, and even lifestyle factors, to provide highly personalised treatment plans.

Financial Impact

The financial implications of AI adoption in healthcare are staggering. Despite current low adoption rates, research suggests that more widespread use of AI could result in healthcare spending savings of between 5% and 10%, translating to approximately $200 billion to $360 billion annually.

How has AI Improved Patient Care?

Patient Safety

AI’s role in enhancing patient safety is becoming increasingly evident. Systems that incorporate AI algorithms can significantly improve error detection, stratify patients based on risk factors and even manage drug delivery to optimise health outcomes.

What are the New Innovations in AI in Healthcare?

AI-based Medical Devices

The innovation in AI-based medical devices is noteworthy. Devices like AI-powered pacemakers and insulin pumps are in development, aiming to provide a new level of independence and comfort for patients suffering from chronic illnesses.

Conclusion

The future of healthcare is intertwined with the advancement of AI technologies. From administrative efficiencies to clinical innovations and ethical considerations, AI is set to redefine healthcare as we know it.

Engage with Us for Deeper Insights

If you’re intrigued by the transformative potential of AI and wish to explore how it can revolutionise your specific industry, we invite you to book a specialized presentation with AI Ireland. Gain firsthand insights from experts in the field tailored to your industry’s unique challenges and opportunities.

For those looking to equip themselves with a comprehensive understanding of AI’s impact across various sectors, consider preordering our forthcoming book, “AI for Executives.” This book aims to provide in-depth insights and practical guidance for leaders navigating the AI landscape.

Early Bird Tickets Now on Sale for the 2023 AI Awards.

The fifth annual AI Awards takes place on Tuesday November 21st at the Gibson Hotel. This is an exciting opportunity to connect and network with over 200 AI and Data professionals across the island of Ireland and hear from some of the most exciting AI applications across industry and academia spanning 12 award categories.

Don’t miss the opportunity to get your discounted Early Bird tickets now! Head over to aiawards.ie/tickets or Eventbrite and enter the discount code EarlyBird_AIA to get your ticket for just €100. Limited tickets available; Original Price €239. 

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How AI is Transforming the Sports Industry in 2023: A Comprehensive Guide

Artificial Intelligence is not just a buzzword; it’s a transformative technology that is making significant strides across various sectors, including the sporting industry. From IBM’s AI solutions in tennis to Catapult Sports’ player tracking in football, AI is revolutionizing the sports landscape. In this article, we explore some of the most exciting real-world examples of AI in sports and how they are shaping the industry in 2023.

Analysis of Player Performance: Catapult Sports

Catapult Sports is at the forefront of using AI algorithms to revolutionise player performance analysis. These algorithms examine a wide range of metrics, such as gait patterns, speed and endurance. Coaches and analysts can leverage this data to gain comprehensive insights into players’ strengths, weaknesses and areas for improvement, thereby making informed decisions on training and game strategies.

What Sport Has AI in It? IBM in Tennis

IBM Watson’s AI has been a game-changer in tennis tournaments like Wimbledon. It offers real-time analytics and insights that are invaluable for players and coaches. Major League Baseball and the National Basketball Association are also leveraging AI to make better decisions about player personnel, scouting and even fan engagement, thus making AI a ubiquitous presence in modern sports.

How AI Improves Sports Performance: WHOOP

WHOOP is a performance optimization system that employs AI to analyse a multitude of factors, from an athlete’s technique to their energy levels. The system produces detailed performance reports that not only offer insights into how athletes can improve their speed and efficiency but also provide actionable recommendations for training regimens and recovery.

AI in Football: Stats Perform

Stats Perform is revolutionising football through machine learning. It collects and analyses a plethora of data, such as run distance, speed and the number of passes. This data is then used to improve player performance, optimize team strategies and even predict game outcomes, making AI an integral part of modern football analytics.

Advantages of AI in the Sports Industry: Kinexon

Kinexon specialises in real-time intelligence and automated processes for sports. By analysing an athlete’s movements in real-time, Kinexon’s AI algorithms can identify potential issues in their technique or form that could lead to injury, thereby providing a more data-driven approach to coaching, training and injury prevention.

AI for Injury Prevention: Zone7

Zone7 takes injury prevention to the next level by using AI algorithms to predict the likelihood of future injuries. It analyzes large datasets of athlete profiles, injury records and performance metrics. It takes into account various factors such as training load, sleep patterns, recovery rates and previous injury history to make accurate predictions.

AI in FIFA: Sportlogiq

Sportlogiq employs AI to enhance the user experience for both players and fans in association with FIFA. From real-time analytics to virtual reality simulations, AI is making the sport more engaging and interactive.

AI in Cricket: CricViz

CricViz is a pioneer in using AI-powered technology for performance analysis and match prediction in cricket. It provides real-time insights that helps players and coaches make informed decisions during matches, thereby elevating the game to new heights.

Robots in Sports: Forpheus and Cue 3

Forpheus, the table tennis robot and Cue 3, the basketball shooting robot, are not just novelties; they are examples of how AI-powered robots are participating in sports. These robots serve as training partners, providing athletes with a unique and challenging experience.

AI for Sports Predictions: Betegy

Betegy employs AI-driven algorithms to make sports betting predictions. These algorithms analyse vast amounts of data to provide more accurate predictions, outperforming traditional human bettors and even some other automated systems.

AI in F1 Racing: McLaren and AWS

McLaren collaborates with AWS to use AI-powered simulations for modeling billions of potential race parameters. These simulations help the team determine what variables are most likely to lead to favorable outcomes, thereby giving them a competitive edge.

Challenges of AI in the Sports Industry

While AI offers numerous benefits, such as injury prevention, improved efficiency and sophisticated performance analysis, it also introduces challenges. These challenges include ethical considerations related to data privacy, the nuances of human interaction and potential biases that could affect the fairness of the game.

In conclusion, AI has the potential to revolutionise sports analytics, providing coaches, players and even fans with unprecedented insights into performance and game strategy. The technology is here to stay, and its impact will only grow in the coming years.

Take the Next Step in Understanding AI in Sports

If you’re keen to delve deeper into how AI can revolutionize your industry, consider booking a speaker from AI Ireland. For a comprehensive understanding of AI’s transformative impact across sectors, pre-order our upcoming book, “AI for Executives.”

Early Bird Tickets Now on Sale for the 2023 AI Awards.

The fifth annual AI Awards takes place on Tuesday November 21st at the Gibson Hotel. This is an exciting opportunity to connect and network with over 200 AI and Data professionals across the island of Ireland and hear from some of the most exciting AI applications across industry and academia spanning 12 award categories.

Don’t miss the opportunity to get your discounted Early Bird tickets now! Head over to aiawards.ie/tickets or Eventbrite and enter the discount code EarlyBird_AIA to get your ticket for just €100. Limited tickets available; Original Price €239. 

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50 AI-Prompts to Ignite Critical Thinking in Secondary Schools

Artificial Intelligence is no longer a subject of science fiction; it’s a reality that is transforming our world in unprecedented ways. As AI continues to evolve, it’s crucial that the next generation are not just consumers, but that they also understand the intricacies of these technologies. This article aims to provide secondary school teachers with 50 AI-related prompts that can be used to ignite critical thinking and discussion among students.

 

Section 1: The Basics of AI

Artificial Intelligence is a broad field that aims to create machines capable of intelligent behaviour. Understanding the basics is the first step in demystifying AI.

  • What is Artificial Intelligence? Explain in your own words.
  • Compare and contrast AI, Machine Learning and Deep Learning.
  • Discuss the ethical considerations surrounding AI.
  • How does AI differ from human intelligence?
  • Explain the Turing Test and its significance in AI.
Section 2: AI in Everyday Life

From personalised recommendations to voice-activated assistants, AI is becoming an integral part of our daily lives.

  • List five ways in which AI impacts your daily life.
  • How is AI used in healthcare?
  • Discuss the role of AI in autonomous vehicles.
  • How does AI contribute to climate change solutions?
  • Explain how AI is used in content recommendations, like Netflix or YouTube.
Section 3: AI Across Industries

AI is not limited to just technology companies; it is transforming a range of industries from healthcare to agriculture.

  • How is AI transforming the retail industry?
  • Discuss the role of AI in financial markets.
  • How is AI used in agriculture?
  • Explain the impact of AI in journalism.
  • Describe how AI is revolutionizing manufacturing.
Section 4: Key AI Technologies

Understanding the technologies that power AI can provide deeper insights into its capabilities and limitations.

  • What is Natural Language Processing?
  • Explain the concept of neural networks.
  • What is computer vision and how is it used?
  • Discuss the importance of data in AI.
  • What are chatbots and how do they work?
Section 5: Ethical and Societal Implications

AI has the power to both benefit and harm society. It’s crucial to consider the ethical implications.

  • Discuss the concept of bias in AI.
  • What are the ethical implications of facial recognition technology?
  • How could AI impact employment?
  • Discuss the concept of AI governance.
  • What are the potential risks of AI?
Section 6: AI in Education

AI has the potential to personalise education and make learning more engaging.

  • How can AI be used to personalize education?
  • Discuss the role of AI in grading and assessments.
  • How can AI assist students with special needs?
  • What are the limitations of using AI in education?
  • How can AI help in career guidance for students?
Section 7: The Future of AI

The future of AI holds endless possibilities, from solving complex problems to potentially posing new challenges.

  • What are the emerging trends in AI?
  • Discuss the concept of Artificial General Intelligence (AGI).
  • How could AI be used in space exploration?
  • What are the potential breakthroughs we could see in AI over the next decade?
  • How can AI be used for disaster management and relief?
Section 8: Hands-On and Creative Activities

Learning by doing can be an effective way to understand complex subjects like AI.

  • Design a simple chatbot using any available platform.
  • Use a machine learning tool to analyse a dataset and present your findings.
  • Create a project that uses computer vision to solve a problem.
  • Develop a simple recommendation engine.
  • Use NLP tools to analyse the sentiment of social media posts.
Section 9: Group Activities

Collaborative learning can foster teamwork and help students understand different perspectives on AI.

  • Conduct a group discussion on AI ethics.
  • Collaborate on a project that uses AI to solve a community issue.
  • Role-play a scenario where AI plays a critical role in decision-making.
  • Create a quiz game that tests your knowledge on AI concepts.
  • Work in teams to develop a proposal for implementing AI in your school.

The prompts provided in this article are designed to foster critical thinking and engage students in meaningful discussions about AI. Teachers are encouraged to adapt these prompts to fit their specific educational objectives.

If you are interested to find out how AI is being applied to secondary and third level education, please Book an AI Presentation today by AI Ireland where we will share the transformative impact that AI is having within the education industry.

Early Bird Tickets Now on Sale for the 2023 AI Awards.

The fifth annual AI Awards takes place on Tuesday November 21st at the Gibson Hotel. This is an exciting opportunity to connect and network with over 200 AI and Data professionals across the island of Ireland and hear from some of the most exciting AI applications across industry and academia spanning 12 award categories.

Don’t miss the opportunity to get your discounted Early Bird tickets now! Head over to aiawards.ie/tickets or Eventbrite and enter the discount code EarlyBird_AIA to get your ticket for just €100. Limited tickets available; Original Price €239.