In 2024, the world of technology continues to evolve at an unprecedented pace, revolutionizing industries and transforming the way we work. With the increased use of available technologies and the development of new ones, the coming year promises to be a game-changer and introduce us to many cutting-edge innovations. In this post, we will explore 5 technological trends that will stand out this year, propelling us towards a future driven by creativity and new digital transformation strategies.

1. AI, the center of attention

The use of artificial intelligence (AI) is present in many aspects of our business and personal lives. This is a new, and sometimes frightening, phenomenon. Common concerns range from fears that AI will cause widespread job losses to apocalyptic visions of robots taking over the world. One thing has become clear: AI is no substitute for a human being who knows the company’s mission and brand values. It doesn’t check for things like inappropriate language or incorrect instructions.

Here are some of the ways AI will become even more important this year:

Responsible AI: ethics and governance in the age of automation
Here are some of the ways AI will become even more important this year:

In 2024, companies will worry about the commercial, legal and ethical implications of AI and define governance strategies that reduce risk. These efforts will focus on protecting user privacy, eliminating the potential for misuse of data and intellectual property, and maintaining data integrity and compliance with applicable regulations.

If a company does not apply AI technology correctly, it can make mistakes and make poor decisions based on inaccurate data. This can lead to legal action, loss of trust and damage to your reputation. For example, generative AI tools are trained with data from multiple sources, including the Internet, for both image and text generation. Data sources often remain anonymous, which can pose significant challenges to companies handling complex data or financial transactions. Unintentional use of an unknown data source, such as using another company’s intellectual property, can result in costly legal penalties. Therefore, companies need to identify the source of this information to ensure legal, ethical and copyright compliance.

Smart applications: revolutionizing daily work

Intelligent applications are software programs that use artificial intelligence (AI), machine learning, and other advanced technologies to improve their functionality, learn from data, make decisions, and adapt over time. These applications can autonomously analyze data, understand patterns, predict outcomes, and perform tasks that traditionally required human intervention.

For example, generative AI software takes the experience of customers, users, product owners, architects, and developers to a new level. Additionally, intelligent applications provide powerful insights and insights that business users can leverage for analysis and reporting. As a result, standalone business intelligence tools will become obsolete. Through predictions or recommendations, AI also offers the opportunity to tailor applications more closely to their users and promote data-driven decision making.

Cybersecurity: its application and impact

Thanks to artificial intelligence (AI) and machine learning, many companies are already responding to cyber threats in real time. By continuously monitoring and analyzing network data, AI enables cybersecurity teams to proactively identify and prevent security threats, such as unauthorized data transfer, illegal access, malicious use of credentials, and theft of confidential data. This allows companies to detect and resolve cases of suspicious activity before they become significant problems.

As AI continues to evolve, it has become both a blessing and a threat to cybersecurity. When used for cybercrime, these technological advances can enable more sophisticated and far-reaching attacks, such as highly convincing phishing emails, audio and video spoofs, and other hacking operations. Open source AI tools that facilitate these types of violations are now available on the Internet. Even inexperienced cybercriminals will have the power to stage fully automated, AI-based attacks, and experienced hackers will have the tools to create large-scale problems very easily.

With this greater accessibility, the cybersecurity sector and companies’ IT equipment face new and important risks. Companies should prioritize training their IT staff in AI systems and implementing AI-based cybersecurity software to deploy an aggressive defense. Because AI can detect potential threats, it allows IT teams to investigate them as soon as they occur and react immediately.

It is essential to understand both aspects of AI’s potential, as well as support authorities’ efforts to regulate its use before the issue reaches the point where controlling it becomes almost impossible to achieve.

2. What is datafication?

Datafication is a process in which technologies such as artificial intelligence, robotics and machine learning are used to transform various aspects of business and everyday life into meaningful data. It involves the collection, analysis and use of data from multiple sources, such as sensors, devices and online interactions.

Real-world phenomena, such as human behavior and environmental conditions, can also be transformed into quantifiable information. Insights from this data support decision-making, drive innovation, increase efficiency, and promote personalized products and services.

The potential of datafication lies in predicting trends and customer behavior, optimizing work processes, influencing product development and strengthening data protection. Although datafication is already having a major impact, it will continue to grow in 2024 and beyond, focusing on the collection, analysis and application of data across multiple sectors.

3. The augmented and connected workforce: empowering employees

The augmented and connected workforce is a strategic approach to maximizing the value of employee performance and satisfaction, driven by the need to cultivate and grow talent. Through intelligent applications and workforce analytics, this approach provides contextualized guidance that promotes employee well-being, experience, and skill development, while delivering positive business outcomes and stakeholder impact.

The augmented and connected workforce, integrating advanced technologies such as AI, augmented reality, virtual reality, the Internet of Things and networked systems, promotes improved productivity, streamlined operations and efficiency in decision making through the synergy of human experience and technological capabilities. This 2024 trend reflects a collaborative, data-driven and adaptable work environment that facilitates success in today’s dynamic market landscape.

4. A green cloud service: the future of sustainable technology

It refers to the use of computers and other devices in an energy-efficient and environmentally friendly manner. The term can also be applied to the benefits obtained directly from the migration of computing systems to the cloud. These efficiency improvements are the result of consolidating data centers, focusing on supporting remote and hybrid workforces that reduce the environmental impact of commuting, and optimizing resource use.

It requires the use of ethical and sustainable methods for sourcing and extracting the materials needed to manufacture computer hardware and digital devices. It also means responding to growing infrastructure demands, while trying to reduce energy consumption and carbon emissions. Greener IT is often part of environmental and social governance (ESG) programs. According to Deloitte, a global provider of financial and consulting services, “with optimization of the data center and infrastructure, focusing on the migration of IT infrastructure to the cloud, reductions of between 35% and 45% of CO2 emissions can be obtained “

5. Quantum computing: unlocking the next frontier

Quantum computing is an interdisciplinary field that combines computer science, physics and mathematics, using the principles of quantum mechanics to address complex problems. Quantum computers can perform an immense number of calculations simultaneously by taking advantage of components of quantum physics.

Traditional computers use bits that only store data as 1 (on) or 0 (off), while quantum bits (qubits) can exist in multiple states simultaneously using 1, 0, or both at once. This allows for incredibly fast simultaneous and parallel calculations.

Early investors in quantum technology include banks and financial services that use it for fraud detection, risk management and other applications. It is expected to be applied to many computation-intensive fields, such as drug discovery, genome sequencing, and complex activities such as traffic flow control in large cities and simulation of drug molecules and materials.

Conclusion

These are some of the most disruptive technology trends that will lead your digital journey in 2024. These technologies will also help meet the needs and requirements of your company in unique ways and take your business to the next level. To stay ahead in this rapidly changing terrain, companies must not only be aware, but actively develop a deep knowledge and skill set through continuous learning.