How AI is powering the Future of Work: key considerations for business and tech leaders
With increased AI augmentation and the transformation of processes and people that enable it, the topic of the ‘Future of Work’ requires immediate and urgent attention.
The age of Artificial Intelligence (AI) is upon us. Businesses and society are now looking towards AI for transformative outcomes. Businesses, specifically, are investing huge amounts of money on AI that will not only bring in efficiencies across multiple processes, but also unlock new revenue streams that will deliver significant top line and bottom-line impact. With the AI transformation playing out rapidly in our personal and professional lives, we need to deeply understand what the future of work will look like in the age of AI.
Within the business organisation, there is a huge need to ramp up skill development interventions. The traditional roles of employees in an organisation are rapidly changing as they are expected to stay in step with the developments in the world of AI.
Business executives are now needed to deeply understand the potential of AI and translate it into a viable roadmap for their business. Technology leaders need to take centre-stage in how their organisations adopt and harness the power of AI. We are seeing a fast proliferation of digital evangelists and transformation officers who are charged with developing a framework within which the future of the organisation will operate.
Future of Work, redefined
On a tactical level, the burning question now is: how can organisations build a steady pipeline of future talents with expertise in AI? Mastery of exponential technologies (AI, cloud computing, blockchain, IoT, cybersecurity, etc) will be remarkably important for both business and technical professionals.
It is critical that transformation leaders and digital evangelists are well-versed in building internal capabilities that converge around the nexus of technology competencies, managing a hybrid workforce, and ensuring the adoption and dispersion of AI.
For us to redefine the future of work powered by AI, we need to ensure that a few key enablers come together. We need to expand the scope of executive education and the courseware that goes with it. Next, we need to seriously consider the potential impact of crisp yet impactful courses. Corporations need to augment their training programmes with shorter, time-boxed courseware that can deliver instant impact for the organisation.
Finally, we need to reimagine multiple, personalised career pathways. We need to move away from the traditional one-size-fits-all training and deliver more tailored, fit-for-purpose and relevant education to employees.
Here are the three critical interventions for the business and technology leaders to execute in order to usher in the future of work that is enabled by AI.
Develop new-age skills and competencies in AI
Upgrading the technology competencies and skills of business and technology leaders and their teams seems like the most critical first step. With the landscape of technology is rapidly evolving, we need to urgently upskill the present and future workforce to ensure a quality supply of talent.
We need new-age coursework in computer science that can hugely develop the ability of students in subjects such as AI, Machine Learning (ML), deep learning, Natural Language Processing (NLP), and other AI-related concepts.
On a broader scale, we also need universities and colleges to improve the existing knowledge base of AI-enabling technologies such as cloud, DevOps, blockchain, etc, as well for the workforce.
At present, we see a decent level of advancement in the field of computer science training and education. However, other trades within the technical area also require to be upgraded as well. By doing so, we will be able to ensure wholesome and future-proof education for aspirants who wish to build their careers in the world of AI.
For instance, those studying for a major in the field of electronics could shape their focus on mastering AI-enabling technologies such as GPUs and quantum computing. The students presently pursuing a specialisation in mechanical engineering could achieve some level of sophistication in allied subjects of robotics and 3D printing.
Subject matter experts in the fields of industrial engineering, operations, and supply chain would also do well to extend their skill sets to ML and blockchain as well, thus creating a convergence of their interest areas and realities of the market, which will empower them with the required tools to succeed in the workplace of the future.
Read this on YourStory.com: https://yourstory.com/2020/02/ai-transformation-future-work-business-tech-leaders