In a world where technology is constantly evolving, businesses need to stay ahead of the curve in order to survive. One way to do this is by implementing artificial intelligence (AI). AI has the potential to revolutionize the way businesses operate, from automating tasks to improving customer service.
According to a 2022 report by IBM, 35% of companies are already using AI. This number is sure to continue to grow in the coming years, as businesses realize the benefits of AI.
However, before implementing AI in your business, there are a few things you need to keep in mind. First, you need to understand the AI skills that are needed. With the right skills, you can ensure that your AI implementation is successful.
The landscape of AI skills
Artificial intelligence is reshaping the workforce, offering fresh opportunities and reshaping traditional roles. To remain competitive, businesses must prioritize nurturing AI skills among their workforce, fostering both technical and non-technical proficiencies.
Technical skills, such as programming languages and statistical knowledge, form the backbone of AI development, enabling accurate data interpretation and informed decision-making.
Moreover, non-technical skills like leadership and change management are equally important for successful AI integration. A robust understanding of business principles is vital for aligning AI initiatives with organizational objectives and strategies.
Leadership and change management skills
Good leadership is key to AI-based transformation. Leaders need to understand AI and how it can be used to achieve business goals. Without leadership support, team members may be hesitant to use new technology, hindering AI adoption.
72% of business and HR leaders believe AI, robotics, and automation are very important, but only 31% feel their organizations are ready to implement these technologies. (Deloitte, 2018)
One example is Nufar Gasfar, Director of the AI Everywhere program at Intel’s AI Center.
The “AI Everywhere” program is an initiative launched by Intel to increase the success rate and value of AI implementations across the company to solve various business challenges.
The program involves providing a rich portfolio of consulting and training sessions, self-service AI tools, on-demand creation of end-to-end AI capabilities, and coaching a large internal community of AI practitioners and enthusiasts.
Gasfar’s leadership demonstrates how effective leaders can help organizations navigate AI-based transformation and ensure that companies fully benefit from this technology.
Technical proficiency
There are several technical skill sets needed for individuals to thrive in the AI landscape. By understanding this diverse range of skills, you’ll be well-equipped to contribute to and benefit from AI.
1. Programming and software development
It is essential to understand how to write code. Programming languages such as Phython and R are often used for AI development, as they support a variety of libraries and frameworks used in machine learning and AI.
2. Machine learning
Machine learning is a method of teaching computers to make and improve predictions or patterns based on data.
This is done by feeding the model large amounts of data, which the model then uses to identify patterns and make predictions. Machine learning can be used for a variety of tasks, such as image recognition, natural language processing, and fraud detection.
3. Natural language processing (NLP)
NLP delves into the complexities of human language, aiming to equip machines with the ability to understand, generate, and manipulate text in a way that is both meaningful and beneficial.
It powers intelligent virtual assistants for natural interactions, facilitates language translation, and aids sentiment analysis, offering valuable business insights.
4. Computer vision
This field allows computers to see and understand visual content, such as images and videos. Its capabilities include object detection, identifying and localizing objects like cars or pedestrians, and face recognition for tasks like smartphone user identification.
By allowing computers to interpret visual data, it assures changes in automation, interaction with machines, and insights from visual data.
5. Statistics and probability
Artificial intelligence wouldn’t be possible without the powerful foundation of statistics and probability. These mathematical concepts serve as the language AI uses to understand the world around it and make intelligent decisions.
The key concepts that should be understood include probability distributions, statistical test, confidence intervals, regression analysis, and so on.
Cross functional collaboration
The adoption of AI is not a solo act, but a collaboration across various departments and functions within an organization. To achieve this, cross-functional collaboration is the key to unlocking its full potential.
According to Gartner, by 2025, Chief Data Officers (CDOs) who foster value-stream based collaboration will be far more successful in driving cross-functional teamwork.
Collaboration is the key that binds together diverse skill sets and perspectives, creating a force multiplier for AI success. Here’s how:
- Shared understanding: It ensures that all team members, regardless of technical background, have a clear understanding of the AI goals and strategy. This alignment creates a common language and fosters a sense of shared purpose.
- Informed decision-making: By integrating diverse perspectives from different departments, the team can make more informed and well-rounded decisions about AI implementation.
- Efficient implementation: Collaboration breaks down silos and streamlines the AI implementation process. By working together, teams can identify and address challenges more effectively, leading to faster and more efficient deployment.
- Knowledge sharing: Exchange of ideas and expertise keeps the team up-to-date with the latest AI advancements and best practices, fostering a culture of innovation and continuous improvement.
Learning and development strategies
If professionals within a company possess these AI skills, then it’s certainly possible for the company to adopt AI holistically in a shorter time frame.
Here are some easy steps that professionals can take to acquire AI skills:
1. Understand the basics
Before diving into the more complex aspects of AI, it’s important to build a strong foundation in math, statistics, logic, and programming.
For individuals with a non-technical background, in-depth knowledge isn’t necessary. However, a general understanding is helpful in comprehending how AI makes decisions.
2. Choose a relevant learning area
The field of AI learning is very broad, so it’s better to choose an area that aligns with your interests and career goals. This will help you focus on the most relevant skills.
For example, if you’re interested in learning machine learning, then focusing on that specific area is a good first step.
3. Practice with projects
The best way to gauge your proficiency in a new skill is to put it into practice with real projects. For instance, you could try implementing an AI algorithm from scratch.
This not only provides practical experience but also helps you solidify your understanding of the learned theories.
4. Stay up-to-date with trends
AI is a rapidly changing technology. To stay relevant, it’s important to continuously learn and keep up with the latest developments.
This might involve reading articles or blogs, attending conferences or webinars, or taking online courses and tutorials.
Several online learning platforms also offer AI courses and certifications which can help you acquire and validate your skills.
Conclusion
By understanding the essential AI skills your team needs, you can pave the way for a smooth and successful AI adoption within your organization. This empowers you to leverage the transformative power of artificial intelligence, optimizing processes, boosting efficiency, and driving significant business growth.
To support your journey in this digital transformation, Mekari is the right solution for you. We offer a comprehensive suite of tools and resources to help you thrive in the ever-evolving world of work. Don’t get left behind. Partner with Mekari today and unlock your business’s full potential!
Referensi
CNBC. ”Singapore workers are the world’s fastest in adopting AI skills, LinkedIn report says”
Forbes. ”AI Skills-Based Talent Development: A New Productivity Paradigm”
