India's largest platform and marketplace for AI & Analytics leaders & professionals

Sign in

India's largest platform and marketplace for AI & Analytics leaders & professionals

3AI Digital Library

AI for CXOs : Future of Work redefined by AI

3AI July 30, 2019

Artificial intelligence is getting ubiquitous and is transforming organizations globally. AI is no longer just a technology. It is now one of the most important lenses that business leaders need to look through to identify new business models, new sources of revenue and bring in critical efficiencies in how they do businesses.

Artificial intelligence has quickly moved beyond bits and pieces of topical experiments in the innovation lab. AI needs to be weaved into the fabric of business. Indeed, if you see the companies leading with AI today, one of the common denominators is that there is a strong executive focus around artificial intelligence. AI transformation can be successful when there is a strong mandate coming from the top and leaders make it a strategic priority for their enterprise.

Given AI’s importance to the enterprise, it is fair to say that AI will not only shape the future of the enterprise, but also the future for those that lead the enterprise mandate on artificial intelligence.

Curiosity and Adaptability

To lead with AI in the enterprise, top executives will need to demonstrate high levels of adaptability and agility. Leaders need to develop a mindset to harness the strategic shifts that AI will bring in an increasingly dynamic landscape of business – which will require extreme agility. Leaders that succeed in this AI era will need to be able to build capable, agile teams that can rapidly take cognizance of how AI can be a game changer in their area of business and react accordingly. Agile teams across the enterprise will be a cornerstone of better leadership in this age of AI.

Leading with AI will also require leaders to be increasingly curious. The paradigm of conducting business in this new world is evolving faster than ever. Leaders will need to ensure that they are on top of the recent developments in the dual realms of business and technology. This requires CXOs to be positively curious and constantly on the lookout for game changing solutions that can have a discernible impact on their topline and bottom-line.

Clarity of Vision

Leadership in the AI era will be strongly characterized by the strength and clarity with which leaders communicate their vision. Leaders with an inherently strong sense of purpose and an eye for details will be forged as organizations globally witness AI transformation.

It is not only important for those that lead with AI to have a clear vision. It is equally important to maintain a razor sharp focus on the execution aspect. When it comes to scaling artificial intelligence in the organization, the devil is very often in the details – the data and algorithms that disrupt existing business processes. For leaders to be successful, they must remain attentive to the trifecta of factors – completeness of their vision for AI transformation, communication of said vision to relevant stakeholders and monitoring the entire execution process. While doing so, it is important to remain agile and flexible as mentioned in my earlier section – in order to be aware of possible business landscape shifts on the horizon.

Engage with High EQ

AI transformation can often seem to be all about hard numbers and complex algorithms. However, leaders need to also infuse the human element to succeed in their efforts to deliver AI @ Scale. The third key for top executives to lead in the age of AI is to ensure that they marry high IQs with equally or perhaps higher levels of EQ.

Why is this so very important? Given the state of this technology today, it is important that we build systems that are completely free of bias and are fair in how they arrive at strategic and tactical decisions. AI learns from the data that it is provided and hence it is important to ensure that the data it is fed is free from bias – which requires a human aspect. Secondly, AI causes severe consternation among the working population – with fears of job loss abounding. It is important to ensure that these irrational fears of an ‘AI Takeover’ are effectively abated. For AI to be successful, it is important that both types of intelligence – artificial and human – symbiotically coexist to deliver transformational results.

AI is undoubtedly going to become one of the sources of lasting competitive advantage for enterprises. According to research, 4 out of 5 C-level executives believe that their future business strategy will be informed through opportunities made available by AI technology. This requires a leadership mindset that is AI-first and can spot opportunities for artificial intelligence solutions to exploit. By democratizing AI solutions across the organization, enterprises can ensure that their future leadership continues to prioritize the deployment of this technology in use cases where they can deliver maximum impact.

Related Posts

AIQRATIONS

    3AI Trending Articles

  • Data Science redefines Consulting to transform Digital Business Model

    Consulting firms the world over, are looking to develop competencies that would create a definite competitive advantage for them in the market. The consulting sector is no longer immune to disruptive technologies that have significantly influenced other digital-enabled businesses and is flooded with new players having a non-traditional approach toward consulting. Globally, companies seeking a […]

  • ChatGPT and Large Language Models: A prioritization Framework for Leaders

    Featured Article: Author: Robin John, Artificial Intelligence Strategist, APAC, Kimberly-Clark Ever since ChatGPT was released last year, a flurry of LLM(Large Language Model) – related product announcements from tech giants have taken the world by storm. The key driving factor behind the success of ChatGPT is its human-like interface into AI. A technique called Reinforcement […]

  • The Evolution of Generative AI and Human Creativity: Ethical Concerns and Future Perspectives

    Featured Article Author: Bhabani Chatterjee, Capgemini Invent Generative AI revolutionized notions of creativity — in manufacturing, product design, content creation, and problem-solving across various domains. These advancements not only push human invention further but also open up a new world for enterprises and individuals. Of course, ethical implications abound, but the excitement is undeniable. The […]

  • A Paradigm Shift in Management Education Powered by Large Language Models

    Featured Article: Author:  Dr. Tuhin Chattopadhyay, Professor, Jagdish Sheth School of Management, Bengaluru, India, Founder & CEO, Tuhin AI Advisory, Abstract. The paper explores the potential of large language models in transforming management education. The paper first introduces the concept of large language models and explains how they work. Subsequently, the paper explores the different […]