It is undoubtedly no longer news that AI, especially generative AI, represents the current significant breakthrough in technology, and unlike Non-Fungible Token (NFT) that took the limelight recently before fading away, AI actually solves tangible human problems and it is not going anywhere anytime soon.
In light of these and coupled with the fierce competition among tech giants to lead in AI, emerging startups are also currently creating ripples in the industry with groundbreaking innovations powered by AI. Techmoonshot would like to highlight the tech skills that would be needed by tech companies in 2024, these tech and AI skills are currently gaining importance and will most likely continue to do so this year.
5 tech skills to look out for in 2024 in no particular order
Edge Computing
Edge computing refers to a decentralized computing paradigm where data processing is performed closer to the source of data generation rather than relying on a centralized cloud-based system.
With the increasing prevalence of Internet of Things (IoT) devices and the continued expansion of interconnected systems, the demand for expertise in edge computing is poised to surge in the current year. The growing adoption of IoT across various industries, from healthcare and manufacturing to smart cities and agriculture, underscores the pivotal role that edge computing plays in optimizing the performance and efficiency of these interconnected networks.
As the IoT landscape continues to evolve, organizations are recognizing the need for decentralized computing solutions offered by edge computing. The ability to process data closer to the source, reducing latency and enhancing real-time decision-making, has become a critical aspect of IoT deployments. This shift towards edge computing is driven by the imperative to overcome challenges associated with bandwidth constraints, data privacy concerns, and the need for rapid, localized processing.
Cybersecurity and AI Security
In the ever-expanding and diverse landscape of today’s cyberspace, prioritizing safety remains paramount, particularly with the exponential increase in the use of artificial intelligence (AI). As AI technologies continue to evolve and permeate various sectors, the imperative to secure AI systems and safeguard the associated data against cyber threats has never been more critical.
The intersection of AI and cybersecurity introduces a complex dynamic that necessitates a multifaceted approach to ensure the resilience of digital ecosystems. With AI becoming an integral component of numerous applications, from autonomous vehicles and healthcare diagnostics to financial systems and smart cities, the potential attack vectors for cyber threats have expanded exponentially. Consequently, the need for professionals with specialized skills in cybersecurity, and more specifically in AI security, is expected to soar in the current year.
Data Engineering and Management
As the volume of data continues to grow in cyberspace by the continuous expansion of digital ecosystems, fueled by diverse sources such as IoT devices, social media, e-commerce transactions, and more, this surge in data, often referred to as the “big data” phenomenon, necessitates a parallel growth in skills related to data engineering, data architecture, and data management.
Professionals proficient in data engineering play a crucial role in designing systems capable of handling massive datasets efficiently. Their expertise extends to building scalable and resilient data pipelines, ensuring the seamless flow of information across diverse platforms and applications.
The rise in demand for professionals with expertise in data engineering, data architecture, and data management will most likely continue to surge this year.
AI Ethics and Explainability
In an era where AI systems are rapidly gaining prevalence across diverse sectors, the significance of ethical considerations and transparent decision-making within AI models is experiencing a proportional surge. As these intelligent systems become integral to various aspects of daily life, understanding and addressing the ethical implications of AI are paramount to ensure responsible and beneficial deployment.
The ubiquity of AI systems is evident in their integration into industries such as healthcare, finance, education, and beyond. From diagnostic tools in healthcare to predictive analytics in finance, AI technologies are transforming the way decisions are made, services are delivered, and information is processed. This widespread adoption underscores the urgency of ethical considerations to guide the development and utilization of AI systems.
the ascendancy of AI systems demands a parallel ascent in ethical considerations and those with the skills will be in high demand this year.
Blockchain Engineering
The utilization and application of blockchain technology have witnessed an unprecedented surge in growth over recent years. Originally conceived as the underlying technology for cryptocurrencies, particularly Bitcoin, blockchain has evolved into a versatile and transformative force that extends far beyond the realm of digital currencies.
Blockchain’s integration with other emerging technologies, such as artificial intelligence (AI) and the Internet of Things (IoT), holds immense potential. This convergence is anticipated to create synergies, unlocking new possibilities and use cases. And those with the right skills be in demand this year.
