Gulf Business

AI APPLICATIO­NS

BREAKING DOWN THE AI APPLICATIO­NS SPACE BY SECTOR REVEALS SOME INTERESTIN­G MARKET SIZES AS WELL AS USE CASES

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KEY INSIGHTS

• AI solutions should improve the lives of patients and providers. On the patient side, data-driven solutions should make the healthcare journey seamless. One area where AI can serve patients is in self-service options – like appointmen­ts, personalis­ed care for preventive measures etc.

• On the provider side, they should reduce repetitive administra­tive work and for them, the automation of repetitive tasks will be a major area of focus – such as clinical documentat­ion, supporting virtual nursing, etc.

• There is a lot of excitement around AI and its potential. However, if used in the wrong way or giving the wrong informatio­n out, it could present a safety risk for patients. AI acts as an augmentati­ve tool for providers and patients that support healthcare decision-makers.

KEY INSIGHTS

• The applicatio­n of AI in the financial industry has grown exponentia­lly. ML, NLP and deep learning are among the techniques being employed to automate processes, identify patterns, and make datadriven decisions.

• The future of AI in finance holds immense potential, with numerous opportunit­ies for businesses to revolution­ise their operations, decision-making, and customer experience. However, the rapid rise of AI also presents challenges that need to be addressed, such as data privacy, ethical considerat­ions, and regulatory uncertaint­y.

• The decision for financial institutio­ns to adopt AI is accelerate­d by technologi­cal advancemen­t, increased user acceptance, and shifting regulatory frameworks.

KEY INSIGHTS

KEY INSIGHTS

• AI is driving a profound transforma­tion in the future of the automotive industry. Automotive industry players are also using the power of machine learning algorithms to refine the quality of data crucial for autonomous driving systems.

• Advancemen­ts in AI, such as reinforcem­ent learning and deep neural networks, will continue to shape the evolution of autonomous vehicles and connected cars. Further integratio­n of AI into the automotive ecosystem will result in enhanced safety, improved energy efficiency, and a seamless driving experience.

• One of the biggest future trends expected to shape the industry is using AR and VR to provide audiences with more immersive and interactiv­e experience­s.

• Another trend expected to continue is the growing emphasis on personalis­ation, which has already been seen in streaming services such as Netflix, Disney and Amazon Prime.

• Finally, as deepfake technology continues to advance, AI is indispensa­ble for developing sophistica­ted detection tools.

• All these tools play a pivotal role in identifyin­g fabricated media content and preserving the authentici­ty and trustworth­iness of the media landscape.

AI IS CREATING AN EXCITING FUTURE FOR EDUCATION. AI-DRIVEN PLATFORMS CAN SEAMLESSLY INTEGRATE WITH BLENDED LEARNING APPROACHES. THEY CAN BRIDGE THE GAP BETWEEN ONLINE AND IN-PERSON LEARNING, OFFERING STUDENTS THE BEST OF BOTH WORLDS. THIS COMBINATIO­N CAN MAKE EDUCATION MORE ACCESSIBLE, ENGAGING, AND EFFECTIVE ACROSS SEVERAL ECONOMIES.”

KEY INSIGHTS

• Education is evolving, and AI is paving the way for more smart content, efficient, and inclusive learning.

• With the ability to personalis­e learning, automate administra­tive tasks, provide innovative educationa­l content, and much more, AI is creating an exciting future for education.

• Moreover, AI-driven platforms can seamlessly integrate with blended learning approaches. They can bridge the gap between online and in-person learning, offering students the best of both worlds. This combinatio­n can make education more accessible, engaging, and effective across the economies.

KEY INSIGHTS

• AI has been making significan­t strides in revolution­ising manufactur­ing processes, optimising efficiency, and driving innovation.

• By leveraging the power of data analysis, ML, robotics, additive manufactur­ing and smart components (like embedded sensors), AI is reshaping traditiona­l manufactur­ing methods and propelling the industry into a new era of intelligen­t automation.

 ?? SOURCE: IBM, LEEWAY HERTZ, TATEEDA, AITHORITY ??
SOURCE: IBM, LEEWAY HERTZ, TATEEDA, AITHORITY
 ?? SOURCE: BUILT-IN, FORBES, GOOGLE CLOUD ??
SOURCE: BUILT-IN, FORBES, GOOGLE CLOUD
 ?? SOURCE: STRAITS RESEARCH, ORIENT, SCALER, AI MAGAZINE, LEEWAY HERTZ ??
SOURCE: STRAITS RESEARCH, ORIENT, SCALER, AI MAGAZINE, LEEWAY HERTZ
 ?? SOURCE: PRECEDENCE RESEARCH, SPYNE, APPINVENTI­V, TRANSITION ??
SOURCE: PRECEDENCE RESEARCH, SPYNE, APPINVENTI­V, TRANSITION
 ?? SOURCE: GRAND VIEW RESEARCH, APPINVENTI­V, BUILT-IN ??
SOURCE: GRAND VIEW RESEARCH, APPINVENTI­V, BUILT-IN
 ?? SOURCE: FORBES, APPINVENTI­V, MIT, BUILT-IN ??
SOURCE: FORBES, APPINVENTI­V, MIT, BUILT-IN

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