The strategic perspectives provided herein will provide you crucial overview of the AI’s increasing prevalence amongst Indian industry, government and peripheral ecosystem and the significant impact AI will generate for India in the coming years and the possible strategic considerations that India needs to initiate to attain AI supremacy. The ensuing details also highlights the relative comparison amongst India, China and USA on the steady progress being done in AI adoption. VC firms, PE funds and investors attempting to understand where to target investment, what offerings and capabilities would lead to better performance and gains, and how to capitalize on AI opportunities, it’s crucial for them to understand the International economic potential of AI for now and projections in the coming years. Cutting across all these strategic considerations is how to build responsible AI operating models and keep it transparent enough to maintain the confidence of customers and wider stakeholders.

International AI Capitalization Report – China & NA Leads, India hot in the heels

Without doubt, AI is going to be a big game changer in the international setting. A previous set of reports from multiple analysts concluded that AI could contribute up to $15.7 trillion to the global economy in 2030, more than the current output of China and India combined. Of this, $6.6 trillion is likely to come from increased productivity and $9.1 trillion is likely to come from consumption-side effects. Global GDP will be up to 14% higher in 2030 as a result of the accelerating development and take-up of AI from the standpoint of direct economic impact of AI, China and USA will have greatest gains in GDP. Even though USA will reach its peak of AI led growth faster due to huge opportunities in parallel technologies implementations and advanced customer readiness for AI.

China, on the other hand will have a slower but stable rise in GDP gains, post COVID 19 because a large portion of Chinese GDP comes from manufacturing, a sector which is highly susceptible to AI disruption in its operation, and also a higher rate of capital re-investment within Chinese economy compared to EU and USA. As productivity in China eventually catches up with USA , USA will focus more on importing AI-enabled products from China due to economically cheap alternative China provides. Hence by 2030, China will see much larger impact in its GDP.

Is the Differential for Developing countries like India too steep in catching up with AI? –   AI is still at its early stages, which means that irrespective of the fact that the exponential technology landscape is skewed towards the developed economies as compared to developing, the developing economies and their markets could still lead the developed markets from AI standpoint. This makes countries like India, with a strong focus in Technology sector, a strong contender.

The economic impact of AI in GDP for India ,will be driven by:

1. Productivity gains from businesses automating processes (including use of robots and autonomous vehicles).
2. Productivity gains from businesses augmenting their existing labor force with AI technologies (assisted and augmented intelligence).
3. Increased consumer demand resulting from the availability of personalized and/or higher-quality AI-enhanced products and services.

The consumer revolution set off by AI opens the way for massive disruption as both established businesses and new entrants drive innovation and develop new business models. A key part of the impact of AI will come from its ability to make the most of parallel developments such as 5G connectivity.

India’s Macroeconomic Landscape of AI

India is already way ahead of many other countries in implementing artificial intelligence (AI). More than 40% of the enterprises are going beyond pilot and test projects and adopting the technology at a larger scale coupled with 1400+ global capability centers that have become frontiers in pushing AI led innovation and transformation for their parent organizations. The Indian government’s Digital India initiative, too, has created a favorable regulatory environment for increased use of AI.

Recipe for AI Success in India – Digital Deluge & Data Detonation

As India undergoes rapid digital transformation, data centers and the intelligence behind the data collected will enable the government and industry to make effective decisions based on algorithms. This means increasing opportunities for adoption (and investing over) AI in the country.

Intel is betting on Artificial Intelligence (AI) to drive demand for its electronic chips, for which it is aiming to train 15,000 scientists, developers, engineers and students on AI in India over the next one year. The company will host 60 courses under its ‘AI Developer Education Program’. These will train people on ways they can adopt AI for better research, testing or even building of products. Intel is looking at India due to the country’s large base of technical talent. The country is the third largest global site for AI companies. As India’s largest e-commerce marketplace Flip kart is looking to put in use its mammoth pile of data to predict sales of products months in advance. The company is working on an artificial intelligence (AI) solution that will give it an edge over rivals by helping it make smarter decisions in ordering, distribution and pricing products on its platform. Ultimately, the AI system will allow Flip kart to boost efficiency and reduce the cost of products for customers. While rival Amazon, which has around a 10-year head start over Flip kart, is known to have some of the most advanced sales prediction engines, the Indian company has the advantage of having a bigger data set of the country’s online consumer market.

AI Inroads in the Private Sector

AI has now a significant impact in the day to day lives of the regular mass of the country. Now that the Indian IT sector has reached a certain intermediary peak of digitization, the focus, now , is more on automating the repetitive problems and finding more optimized, efficient or refined methods of performing the same tasks, with less time duration and lesser manpower. The result is the standardization of some very critical app based services like virtual assistants, cab aggregators, shopping recommendations etc. This will eventually lead to AI solutions to real world problems.

The AI Startups Sphere of India- Startups are clearly playing a major role in innovating faster than enterprises, which has led to several partnerships. SAP India has invested in Niki.ai, a bot that improves the ordering experience. Then there’s Ractrack.AI, where a bot improves customer engagement and provides insights; it functions as a virtual communications assistant to convert the customer into a client. Racetrack is helping companies turn leads into meaningful engagements by using AI. Another startup, LUCEP, converts all potential queries into leads with their AI engine. The objective is to generate insights from data and simplify customer interaction with a business and also convert them into leads. Indian startups saw $ 10 billion in risk capital being deployed across 1,540 angel and VC/PE deals between January and December 2019. VC/PE firms predict that AI would be key themes to invest in for next few years.

AI in Public Sector– Ripe for Digital Revamp and AI Adoption

A Blue Ocean for AI Investment due to Digital India Initiatives – Though both corporates and startups are making significant inroads in instituting AI in their service architecture and product offerings, and sometimes as part of their core business strategy itself, the challenges in the public sector in instituting AI can be quickly overcome due to huge Digital Movements instituted by the Indian Govt. like Digital India, Skill India and Make in India. This will create a solid bedrock of Data and Digital Footprint which will act as a foundational infrastructure to base AI implementation on, opening a huge blue ocean in public sector, rich for AI investment.

A New Workaround for Regulatory Challenges in Public Sector AI Implementation – One of the peculiar problems the public sector faces in mainstream implementation of AI is the fact that since AI is a continuously self-learning system, capable of analytical or creative decision making and autonomous implementation of actions, who will then be accountable in taking responsibility for its actions, should they turn out to be not so favorable. This is because of the fact that since AI has a degree of autonomous decision making, it makes it difficult to pre-meditate its consequence. The AI systems are meant to augment and enrich the life of the consumers. In such a situation, deciding liability of AI system’s actions will be difficult. Therefore, a lot of deliberation will be required to carefully come to a precise conclusion surrounding implementing these systems with ethical foundation and propriety.

Although many countries like US and some European countries are in the verge of implementing regulations and laws surrounding concepts like driver less vehicles, India still don’t have the regulations sanctioned. This, but need not be a bad news. India is cut to establish a completely revamped legal infrastructure, thereby completely circumventing the need for continuous regulatory intervention. Also, there is a favorable atmosphere in India as far as AI is concerned which will foster a spike in activities in that avenue.

Indian Governance Initiatives – Huge Scope for Investment of AI – As India emerges as a premier destination for AI, scope for investment opens in the governance aspect, in several ways. Governance schemes have a unique trait of the baggage of large volume and large scale implementation need, which can be tackled with Deep learning. For example, in Swachh Bharat Initiative, specifically construction of toilets in rural India, public servants are tasked with uploading images of these toilet constructions to a central server for assessment. Image recognition can be used to target unfinished toilets. It can also be used to identify whether the same official appears in multiple images or if photos were uploaded from a different location other than the intended place. Other initiatives such as the Make in India, Digital India & Skill India can be augmented with AI to deal with scale. The range of application for AI techniques could range from crop insurance schemes, tax fraud detection, and detecting subsidy leakage and defense and security strategy.

An AI system can improve and enrich the agriculture of India by enhancing the bodies like The Department of Agriculture Cooperation and Farmers Welfare, Ministry of Agriculture runs the Kisan Call Centers across the country etc. It can help assist the call center by linking various available information like soil reports from government agencies and link them to the environmental conditions. It will then provide advice on the optimal crop that can be sown in that land pocket. As the need for large scale implementation and monitoring of governance initiative becomes more pronounced, the need for AI becomes absolute and it will open doors to considerable AI investment in the future of India.

Finally, Looking Ahead – A Collaborative Innovation led ecosystem

AI innovations which fall under assisted, augmented and autonomous intelligence will help users understand and decide which level of intelligence is helpful and required in their context, thereby making AI Acceptance easier for the people. At the same time, this AI continuum can be used to understand economic ramifications, usage complexity and decision-making implications. While academia and the private sector conduct research on various AI problems with diverse implications in mind, the public sector with its various digital initiatives (Digital India, Make in India, etc.) can identify areas where parts of the AI continuum can be utilized to increase reach, effectiveness and efficiency, thereby giving direction to AI Innovative Research. A collaborative innovation environment between academia and the private and public sectors will help provide holistic and proactive advisory delivery to the population, for example through public call centers, linking information from various government sources. At the same time, the rich data generated from these interactions can be used to draw deep conclusions. Collaboration between the three pillars could further help get a comprehensive view of problems and find intelligent and innovative ways to increase the efficiency and effectiveness of services delivered to society. India is at a cusp of taking a upward trajectory on establishing AI supremacy ; a strategic roadmap across public, private , SMB’s , Academic and startup sectors will accelerate the path to AI adoption and unleashing new sources of economic output for the country . The journey to attain AI supremacy has begun ……

Piloting thru the COVID era means grasping sudden strategic shifts. Social distancing and process turmoil have taken hold in every aspect of our lives, forcing us to change our routines and reevaluate our goals and expectations in real-time. And, unsurprisingly, these waves of upheaval have triggered a reset on most business operations and on commercial assumptions. We are all resetting the playbook in the new normal.

We are faced with an unprecedented challenge during this disruption. For years leaders have been told that if they are unable to lead ourselves, they cannot possibly lead others. But what does that look like right now? It is a struggle to process this globally shared experience that is simultaneously isolating and deeply personal. In a time when we need to be connected and certain, we may feel disconnected and unsure. On top of that, theory and practice are in constant collision. Navigating the unknowable and uncontrollable future of our businesses is no longer some academic or design-thinking challenge, it is reality. The future is no longer distant, it is right here right now. Hemingway captured this contradiction brilliantly in The Sun Also Rises: When a character is asked, “How did you go bankrupt?” the response is, Gradually and then suddenly.” 

Seeking command and control during this time of next-level upheaval simply will not work. Instead, we must cultivate ingenious mindset. Ingenious leaders are operators and innovators at the same time, and they encourage their followers to be the same. This style of leadership does not come naturally to everyone, but learning to master it is crucial to growth, and it must be prioritized and reactivated in the COVID era. Many corporate leaders are expert operators who drive efficiency and optimization, but not high on innovation and growth. Becoming an ingenious leader requires nurturing new ideas that address consumer pain points using the mindset and tools of a creator. Especially now, in this frightening and fluid new world, business leaders must learn to operate and create. So what is the first step toward being an ingenious leader? How do we elevate ourselves and our teams in this moment? 

Reset

Reset is not surrendering. Reset means embracing The New Normal as our shared reality, not a temporary dilemma to be endured, eventually returning to past goals and expectations. Reset is a crucial element of thoughtful agility. It empowers a team to set down the past, and move forward, unrestrained, into the future. It draws a circle around the knowable that helps us to identify the unknowable, giving us clarity on what we can control and what is beyond our control. Without that clarity, we are unable to set a path into the future. With that clarity, business leaders can make decisions based on new commercial truths, react and pivot quickly, reactivate and discover new growth, and lead their teams with conviction. They can become truly ingenious. Pressing the Reset button also requires us to acknowledge that past precedent is no longer a future predictor of business behaviors and outcomes. Leaders must have flexible mindsets around beliefs about market and consumer signals and shifts. It’s time to let go of past commitments and re-align our enterprises to a new-base business reality. 

Realign

Once we have activated the Reset button, business leaders must prepare to realign and embrace the New Normal . This is where we practice ingenious leadership by shifting focus away from the knowable and controllable and toward the unknowable and uncontrollable. This is where we embrace discomfort and dig into the challenge of transforming our enterprises in two key areas: growth and capability.

Resurrect

To resurrect growth, we will need to innovate into radically changed markets to address new, often sudden strategic shifts in customer needs and problems. We are living in a fragile moment of intense change that requires us to lean into these rare opportunities to discover The New Future. Enterprises must abandon the familiar model of Total Addressable Markets (TAM), where past budgets and behaviors existed pre-disruption. We must shift now to a Total Addressable Problem (TAP) view of the world, where new needs, behaviors, and budgets guide our choices. Leaders should be experimenting and testing ferociously to understand the new TAP view of the world and dig into the problems that people are facing right now. Instead of thinking about the past, leaders must focus on present problems their enterprises are uniquely positioned to solve. 

Run better , Run different

To transform enterprises’ ability to resurrect growth, we will need to adopt and embed new strategies that transform teams and organizations with adaptability and speed to run better & run different. Leaders must cultivate resilience of growth in both capability and culture. Tackling all of this during the COVID era takes empathy and courage. Fortunately, we can see courage, innovation, and exploration all around us. Organizations and individuals are creating ingenious solutions to problems we never knew we would face. Futurologist, Yuval Noah Harari pointed out that we’re currently witnessing “… social experiments on a massive scale that will change the world. We can’t predict what will happen because the main thing is that we have so many choices. It’s not like there is just one predetermined outcome to this epidemic. “The choice we face means dual objective of augmenting the growth post recovery and finding new spots of opportunities. This gives us the opportunity to create growth mindsets, systems, and cultures that transcend traditional strategic planning and efficiency. We can embrace resilience and the capabilities to lead through uncertainty, and rise to meet the New Normal in the leadership code

In midst of this COVID situation across the globe, exponential technologies and an AI led processes around the value chain of supply chain will unleash new scenarios for global enterprises. Robots already stand side-by-side with their human counterparts on several manufacturing floors, adding efficiency, capacity (robots don’t need to sleep!) and dependability. Add in drones and self-driving vehicles ; all these technological advancements are compelling enterprises to reimagine their supply chain.

Supply chains, although automated to a degree, still face challenges brought about by the amount of slow, manual tasks required, and the daily management of a complex web of interdependent parts. The next generation of process efficiency gains and visibility could be on your doorstep with artificial intelligence in supply chain management, if only you’d let the robots automatically open it for you.

 Intelligent Automation: Intelligent automation of the end-to-end supply chain, enabling the management of all tasks and sections in tandem allows you to spend less time on low value, high frequency activities like managing day-to-day processes, and provides more time to work on high value, exception-based requirements, which ultimately drives value for the entire business.

Analysts estimates businesses could automate up to 45% of current work, saving $2 trillion in annual wages. “In addition to the cost and efficiency advantages, Intelligent automation can take a business to the next level of productivity optimization,” . Those ‘lights out’ factories and warehouses are becoming closer to a reality.

Four key elements need to be in place for you to take full advantage of intelligent automation in your supply chain:

• robots for picking orders and moving them through the facility;
• sensors to ensure product quality and stock;
• cognitive learning systems;
• and, artificial intelligence to turn processes into algorithms to guide the entire operation.

In addition, you’ll need strong collaboration internally and among suppliers and customers to tie all management systems back to order management and enterprise resource planning platforms.

Artificial Intelligence In Supply Chain : Strategic coverage areas

AI is changing the traditional way in which companies are operating. Siemens in its “lights out” manufacturing plant, has automated some of its production lines to a point where they are run unsupervised for several weeks.

Siemens is also taking a step towards a larger goal of creating Industrie 4.0 or a fully self-organizing factory which will automate the entire supply chain. Here, the demand and order information would automatically get converted into work orders and be incorporated into the production process. This would streamline manufacturing of highly customized products.

Artificial Intelligence In Supplier Management And Customer Service: Organizations are also increasingly leveraging AI for supplier management and customer management. IPsoft’s AI platform, Amelia automates work knowledge and is able to speak to the customers in more than 20 languages. A global oil and gas company has trained Amelia to help provide prompt and more efficient ways of answering invoicing queries from its suppliers. A large US-based media services organization taught Amelia how to support first line agents in order to raise the bar for customer service.

Artificial Intelligence In Logistics & Warehousing : Logistics function will undergo a fundamental change as artificial intelligence gets deployed to handle domestic and international movement of goods. DHL has stated that its use of autonomous fork lifts is “reaching a level of maturity” in warehouse operations. The next step would be driver less autonomous vehicles undertaking goods delivery operations.

Artificial Intelligence In Procurement :AI is helping drive cost reduction and compliance agenda through procurement by generating real time visibility of the spend data. The spend data is automatically classified by AI software and is checked for compliance and any exceptions in real time. Singapore government is carrying out trials of using artificial intelligence to identify and prevent cases of procurement fraud. The AI algorithm analyzes HR and finance data, procurement requests, tender approvals, workflows, non-financial data like government employee’s family details and vendor employee to identify potentially corrupt or negligent practices. AI will also take up basic procurement activities in the near future thereby helping improve the procurement productivity.

Artificial Intelligence in new product development :AI has totally overhauled the new product development process.by reducing the time to market for new products. Instead of developing physical prototypes and testing the same, innovators are now creating 3D digital models of the product. AI facilitates interaction of the product developers in the digital space by recognizing the gestures and position of hand. For example, the act of switching on a button of a digital prototype can be accomplished by a gesture.

AI In Demand Planning And Forecasting: Getting the demand planning right is a pain point for many companies. A leading health food company leveraged analytics with machine learning capabilities to analyze their demand variations and trends during promotions. The outcome of this exercise was a reliable, detailed model highlighting expected results of the trade promotion for the sales and marketing department. Gains included a rapid 20 percent reduction in forecast error and a 30 percent reduction in lost sales.

AI in Smart Logistics :The impact of data-driven and autonomous supply chains provides an opportunity for previously unimaginable levels of optimization in manufacturing, logistics, warehousing and last mile delivery that could become a reality in less than half a decade despite high set-up costs deterring early adoption in logistics. Changing consumer behavior and the desire for personalization are behind two other top trends Batch Size One and On-demand Delivery: Set to have a big impact on logistics, on-demand delivery will enable consumers to have their purchases delivered where and when they need them by using flexible courier services.

A study by MHI and Deloitte found more than half (51%) of supply chain and logistics professionals believe robotics and automation will provide a competitive advantage. That’s up from 39% last year. While only 35% of the respondents said they’ve already adopted robotics, 74% plan to do so within the next 10 years. And that’s likely in part to keep up with key players like Amazon, who have been leading the robotics charge for the past few years.

Execution led scenario : These examples showcase that in today’s uncertain times, AI embedded supply chains offer a competitive advantage. AI armed with intelligence can analyze massive amounts of data generated by the supply chains and help organizations move to a more proactive form of supply chain management. Thus, in this AI first theme, where the mantra is “evolve or be disrupted”, companies are leveraging AI to reinvent themselves and scale their businesses quickly. AI is becoming a key enabler of the changes that businesses need to make and is helping them manage complexity of business posed by this pandemic.

For Sure, 2020 will test not only the leadership acumen of CXOs, but also the ability of enterprises to operate in the face of extreme ambiguity. Starting as a localized issue, the corona virus (COVID-19) has now reached almost all nations, impacting enterprises across the globe –with dire consequences.

 Already, thousands of people have died, hundreds of thousands have become ill and health services have been stressed way beyond their capacity. For most, the pandemic – and response to it – will be the most significant, and most concerning, event they have experienced. It has cost enterprises billions of dollars in lost revenue (potentially up to $2.1 trillion by the end of 2020). It is clear it will result in a significant drop in economic growth around the world. At this stage of the COVID-19 outbreak, enterprises need to deal with two equally important factors – keeping employees and their families safe, and ensuring business continuity as much as possible. Leaders are scrambling to secure supplies, keep fearful employees motivated to work, and planning for the future while dealing with the here and now. But eventually, like other Black Swan events, the virus will end. And when it does, enterprises need to be ready.

In today’s turbulent world, some  have become better at planning for and mitigating against risk in the face of a crisis. They have resilience built into their structure. But for many others, this could be a time of confusion, fear, and rash decision-making. Unfortunately, in our increasingly ambiguous, volatile and inter-connected world, unanticipated events like this are likely to happen more frequently – and leaders will need to be more agile, transparent, and forward thinking. A new set of attributes will be key to navigating 2020, which is likely to be having tow strategic viewpoints . The first viewpoint will be spent dealing with safety, containment, continuity, and contingency planning – a time for prudent, agile leadership and the second viewpoint will be centered around taking advantage of the pent-up demand in the global economy through transformation and innovation.

 For enterprises to respond now and plan for recovery, they must learn to operate in a state of constant disruption. In a time of unknowns, one thing is certain: what has worked in the past is unlikely to keep working in the future. New habits are forming quickly – people are working from home and consuming products and entertainment in very different ways out of necessity. Building a culture that not only tolerates this shift but thrives in it will separate the winners from the losers.

 This may mean thinking differently about performance and target setting, to keep teams motivated and ensure everyone works collectively for a shared purpose – even when working remotely. It will certainly demand a proactive and empathetic communication response from leaders, who will need to consciously demonstrate the values and behaviors they wish to encourage across the organization. But it should not necessarily mean putting recruitment and retention plans on hold. In challenging times, the quality of your talent can be the ultimate advantage. Retaining your top people has never been more important, and future talent acquisition strategy will be done through the lens of recovering and resetting after the crisis. Ultimately, leaders will need to adapt quickly to changing circumstances – shifting from a measured, inclusive approach today to setting the pace post recovery and making up for lost time.

 In times of crisis, people depend on leaders to provide clarity and hope. Fear can be contagious, breeding irrational behavior and anxiety – and in business, this can lead to lower productivity and employee engagement. While no one can be certain how the impact of this virus will continue to unfold globally, one thing is known: we will experience another business crisis again in the future. Leaders who can use this disruptive period as a time for self-reflection and an opportunity to re-frame their mindset are likely to be better prepared when the next crisis comes along.

 This is the time for agile leaders who can anticipate change – such as the necessity of working remotely – and turn it into a positive new way of working. They can also drive a sense of collective purpose and optimism, accelerate innovation and test new ideas, partner with others, and build trust. So how can you keep responding to such volatile market demands, find new ways to create and act on opportunities, and keep your teams aligned to a common purpose? Now is the time to be in thinking different and be in action mode , a global consumer product brand has ramped up its digital outreach while foot traffic to physical stores remains low. By doubling their digital efforts, they are taking this opportunity to get closer to the customer and build a strong sense of community around their product, which in turn anticipates a significant shift in the way their products will go to market in the future.

 Adaptive leaders can anticipate opportunities like this, while also using strong communication to build trust and engagement within their teams. This will set their enterprises up to thrive through recovery. Best of the leaders are known to use down cycles as opportunities to grow. The following are the five strategic interventions , leaders need to follow in this phase:

 Uncertainty demands over-communication: People need reassurance that there is a plan and a path forward,  If town halls and coffee chats are impossible while teams work remotely, build communication channels via WhatsApp groups or run video seminars. CEOs can share daily 90-second video updates to keep everyone aligned and build a sense of community around new tactics and plans. This gives everyone a common language to take to clients and partners. It’s even more important to stay connected with your team at this time, and create routine ways for people to work together so they feel like they’re fully supported as part of a team.

 Be realistic and build no exaggeration: Leaders are now living with uncertainty and ambiguity, and it’s acceptable to say you don’t know all the answers. Listen to employee concerns, and acknowledge there are sometimes no easy solutions. If you don’t have the answer, bring your team together to discuss and experiment with solutions – focus on testing new things quickly. Being transparent and open in this way may feel uncomfortable, but it can go a long way to building credibility and trust – with staff, customers, shareholders, and the wider community.  

Plan swiftly and make bold decisions: Some leaders will need to make difficult decisions in the interest of long-term business continuity – such as reducing labor costs through staff lay-offs or forced leave. Being really clear and upfront about your plan, or it could be toxic to morale. If you know there will be headcount reduction, or you need to close down a loss-making project or pull back from a market, be compassionate and clear – don’t mislead or give mixed messages, And if you have to do this, do it once and then move forward.

Engage more with your high performing teams: Leaders may need to prioritize where their energy goes – and your best talent and clients should top the list. For example, when Chinese firm provided face masks, which were already scarce, to clients very early in the outbreak, it sent a strong signal that it wanted to keep them safe. Similarly, it’s a common mistake to neglect development of high performers during economic tension – especially when you are relying on them more than ever. When the market recovers, they are likely to jump to new opportunities first. Give them the recognition they need to feel valued right now, in addition to opportunities for personal and professional development. This is one of the highest drivers of employee engagement.

Build a strong emotional intellect: Although it seems the weight of the world is on your shoulders, you still need to take time for yourself  and spend time with family. Only then can you be available for your team – because working intensely under pressure for months on end is not sustainable. This includes taking time to build emotional intelligence. The four domains of Emotional Intelligence (EI) — self-awareness, self-management, social awareness, and relationship management —can help a leader face any crisis with lower levels of stress, less emotional reactivity and fewer unintended consequences, One impact of the virus is likely to be permanent change to the way organizations work. This is your opportunity to learn how to work in a more agile way, including virtual working and rapid prototyping.

 This is a critical moment to develop the leadership capabilities you will need for a very different future. Are you ready for the challenge?