Shaping Global Change: AI and Emerging Technologies in Disruptive Times

A Brief Introduction to Artificial Intelligence

Artificial intelligence is a specific field focused on machine learning and replicating human-like behavior in machines. It aims to mimic human cognitive processes in computers. AI research has seen cycles of interest and dormancy, but current advancements in processing power, data availability, and storage are driving renewed activity. AI is expected to have a significant and lasting impact on daily life. While AI's influence is growing, its development and use remain under human control. Humans design AI algorithms, define their boundaries, benefit from their advancements, and manage the outcomes of AI-driven decisions.

What are the Emerging Technologies?

"Emerging technologies" refer to both new and evolving technologies across various fields like journalism, business, science, and education. The Essential Eight—robotics, 3D printing, blockchain, drones, augmented reality (AR), artificial intelligence (AI), virtual reality (VR), and the Internet of Things (IoT)—are the dominant players. The adoption of these technologies has accelerated, with AI becoming crucial for businesses and 3D printing transforming manufacturing. While other technologies like quantum computing and nanotechnology are noteworthy, the Essential Eight will have a strategic and practical impact over the next five years. However, the effects will vary across industries.

Why Artificial Intelligence and Emerging Technologies can be an Effective Career Path?

Understanding and leveraging AI is crucial in today's tech-driven world. Pursuing an AI advancing program can place you at the forefront of a competitive job market, boost your career prospects, and contribute to technological progress.

Pursuing artificial intelligence education can equip professionals with essential skills to navigate and positively impact the evolving landscape. As AI integrates further into industries, these AI Course in IIT skills become vital for maintaining relevance. The convergence of AI with big data, cloud computing, blockchain, 5G, and quantum computing creates new opportunities and drives innovation across various fields.

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Domains that Actively Hire Artificial Intelligence Experts 

• Artificial intelligence

• Computer science

• Computer security

• Computer vision

• Computer programming 

• Engineering 

• Natural Language Processing (NLP)

• Research 

• Technology

• Software 

• Robotics

• Retail and smart manufacturing 

• Internet of things 

• Stock market 

• Forensics 

 

Real-Life Examples of Artificial Intelligence and Emerging Technologies 

• 5G and Wifi-6: The era of super-fast wireless technology has arrived with 5G networks, significantly boosting phone speeds and enabling seamless virtual and augmented reality experiences. Data delivery could reach up to 10 gigabits per second, ensuring flawless live streaming and AR. While 5G devices are still emerging, carriers like AT&T and Verizon are vying to lead this technological revolution.

• Virtual reality  (VR): VR offers immersive experiences that deepen connections to stories. For instance, The New York Times VR app distributed 1.2 million Google Cardboard viewers to subscribers, enhancing empathy and engagement with news through VR videos.

• Anti-ad blocking: Anti-ad blocking technology is designed to counteract the use of ad blockers, ensuring that advertisements are still visible to users. Publishers and advertisers use this technology to maintain revenue streams by preventing ad blockers from removing or hiding ads. It works by detecting ad blockers and implementing strategies to display ads regardless, ensuring that advertising campaigns reach their intended audience.

• Automated journalism: Also known as 'robot journalism,' this technology aids journalists by analyzing data to generate content. It also tests headlines, sources information, and identifies trending stories, supporting journalists, content creators, and publishers.

• Wearable journalism: Wearable technology, such as the Apple Watch, is revolutionizing content access. Perfect for quick updates, wearable journalism delivers concise content without sacrificing the essence of the story, whether through clothing or contact lenses.

• Social outreach apps: Beyond Facebook, Twitter, and Instagram, new social outreach apps are emerging to engage audiences in innovative ways. Apps like Q&A enable video responses to questions, allowing journalists to conduct authentic video interviews remotely.

• Death of the cookie: Google's plan to eliminate third-party cookies from Chrome browsers within two years has sparked concern among advertisers but has been welcomed by content publishers. This shift will impact ad revenue but increase the value of first-party data and direct relationships.

• Data storytelling: Data storytelling is the practice of presenting data in a narrative format that is easy to understand and engaging. It combines data analysis with compelling visuals and narratives to convey insights effectively. This technique helps audiences grasp complex information quickly, making data more accessible and impactful. Data storytelling is widely used in business, journalism, and research to drive informed decision-making and communicate findings clearly.

• Data visualization: Data visualization involves the graphical representation of data to help people see and understand patterns, trends, and outliers. It uses charts, graphs, maps, and other visual tools to transform raw data into intuitive, easy-to-digest formats. By providing a visual context, data visualization enhances comprehension and aids in identifying relationships within the data, making it an essential tool for analysts, businesses, and researchers.

• Internet of Things (IoT): The IoT is transforming homes into smart hubs with voice-activated technology. By 2026, over 64 billion IoT devices are expected globally, with consumer spending projected to reach nearly $15 trillion. IoT devices enhance productivity, reduce costs, and offer immersive experiences with visual components.

• Video creation technology: Video creation technology refers to tools and software that facilitate the production of videos, from simple clips to complex multimedia presentations. These technologies offer features like editing, animation, special effects, and sound integration, enabling creators to produce professional-quality videos efficiently. Video creation technology is essential in marketing, education, entertainment, and social media, where engaging visual content is crucial for audience engagement and communication.

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Current Artificial Intelligence and Emerging Technologies Opportunities

• Big data engineer 

• Artificial intelligence programmer

• Artificial intelligence engineer 

• Artificial intelligence solution engineer 

• Computer vision engineer 

• Natural Language Processing (NLP) engineer

• Natural Language Processing (NLP) expert

• Machine learning engineer 

• Robotics scientist 

• Artificial intelligence scientist 

• Speech recognition expert 

• Data scientist 

• Artificial intelligence product manager 

• Business analyst

• Business intelligence developer 

Conclusion

In conclusion, the actual value of artificial intelligence and emerging technologies lies in understanding their full potential. This understanding helps us appreciate their capabilities and avoid falling for misleading marketing. Studying AI is essential for gaining this insight.

Enrolling in an IIT Artificial Intelligence Course offers access to the latest advancements, keeping individuals on the cutting edge of innovation. Comprehensive AI education and research are crucial. They drive progress, foster competition, and enable informed decision-making in the realm of emerging technologies. 

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