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What is all the fuss about AI, and what does it mean to our understanding?

    By Sunny Sun, Cyberasia360

    In the information ear, data is the new oil of the digital economy; in the AI stage, trust will be the currency of the highly efficient and functional world. 

    There is so much buzz about AI, including what AI can do, and the threats it poses to humans, such as job replacement, ethics, and disinformation (e.g., deepfakes). It is a powerful tool that is set to penetrate and dominate all aspects of our daily lives. We have created this powerful tool, but do we know how to use it to our advantage rather than our disadvantage? That could be the dilemma facing human race. Despite being genuinely creative — considering the average adult human brain weighs about 3 pounds, roughly 2% of our body weight, yet is incredibly powerful — will AI become a mighty tool at our discretion or a monstrous entity, out of our control, when it becomes too powerful to handle?

    There are so many unknown questions that can’t be answered. However, innovations are like a moving train: once set on track, their momentum makes them hard to slow down, and even harder to stop. Therefore, what will the future hold, and what trends are we heading towards?

    Research report by Dolittle and Snowflake Report says “83% of analytics & AI leaders are currently exploring or experimenting with generative AI”.  Also comments “we are entering an era of compute cost volatility” “Trust is the currency of AI”. 

    I have checked out all-inclusive AI trends in 2024. Here are the following AI-related areas to dive into:

    Generative AL.  In 2024, generative models are expected to produce content with even greater realism and fidelity. This could lead to advancements in generating high-resolution images, realistic simulations, and immersive experiences in virtual environments.

    Ethical AL – AI technology can reflect and amplify the biases of their creators. Ethical AI is a growing trend focusing on creating AI systems that are fair, transparent, and accountable.

    Explainable AI bridges this gap between humans and AI by providing the set of methods or processes followed by AI to reach a specific conclusion.  Explainable AI (XAI) seeks to enhance trust, assurance, and acceptance of AI technologies by making them more understandable for users, regulators, and …

    Open source AI models. In 2024, open source pretrained AI models gain significant traction, empowering businesses to accelerate growth by combining these … Approximately 35 percent of businesses use artificial intelligence (AI), and 42 percent are exploring the possibilities it can present for their company.

    AI Democratization. AI tools and platforms will become more accessible to smaller businesses and individuals, democratizing AI capabilities and fostering …

    Quantum AI. The combination of quantum computing and AI, called quantum AI, is a fast-growing field that brings about many exciting possibilities. Quantum AI is still in its early stages of development, but it can potentially revolutionize the field of AI.

    AI becomes more integrated into our lives, businesses are demanding employees with AI skills. As artificial intelligence continues to permeate various industries, we can observe two job trends: AI upskilling – refers to the process of learning new skills and knowledge related to AI to improve one’s job performance or career prospects. New AI jobs are emerging – Here are some predicted AI jobs expected to gain prominence in 2024 and beyond.  https://hackernoon.com/the-top-13-trends-in-2024-ai-predictions:

    AI Product Manager: Responsible for overseeing the development and launch of AI-powered products, ensuring they meet market needs and align with business objectives. AI Engineer (AI Research Scientist, Business Intelligence Developer, Computer Vision Engineer, Machine Learning Engineer, NLP Engineer, etc.). AI Ethicist: Ensures that AI systems are developed and deployed ethically and responsibly, addressing issues of bias, fairness, privacy, and transparency. AI Input and Output Manager: Manages the input data fed into AI systems and interprets the output generated by these systems. Sentiment Analyzer: Analyzes customer feedback, social media comments, and other forms of text data to understand public sentiment and opinions. AI Regulatory Specialist: Stays up-to-date with the evolving regulatory landscape around AI and ensures that companies comply with relevant regulations. AI Human-Computer Interaction (HCI) Designer: Designs user interfaces for AI-powered products and applications to enhance user experience and ensure intuitive interaction.

    AI Legislation. As artificial intelligence becomes increasingly sophisticated and integrated into our lives, there is a growing need for legislation. The goal of AI legislation is to guarantee that AI is applied ethically and responsibly by offering a structured strategy for handling these issues.

    AI Cybersecurity. As cyber threats evolve, AI will play a critical role in making cybersecurity measures more effective. AI algorithms will help detect and respond to cyber threats in real time, providing better protection for digital systems and networks.  Below is the graph with a process that is better explained. 

      Image source: orangemantra

    Will 2024 be the year of drastic changes in our lives? AI capability depends on computational power and GPUs to speed up massive data processing for conclusions. My understanding is that the deployment of AI’s powers will ultimately be determined by its creators – humans. I believe that all developments have their duality, yin and yang, dynamically moving towards eventual balance.

    How can we harness the best of AI in 2024? By investing in the basics: building a robust data infrastructure that allows AI algorithms to produce stunning results, beyond what is humanly possible.

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