Artificial Intelligence driving change
In December 2019, the city of Wuhan, in China’s Hubei province, saw multiple cases of pneumonia. Later, scientists determined that the cause was a novel coronavirus. In the months that followed, the coronavirus has transmuted and multiplied into a full boom, global pandemic that has brought the world to its knees. It is being acclaimed as the greatest human tragedy of the 21st century.
In an attempt to reduce the rate of transmission, nearly every national government in the world has introduced some type of limitations on individual mobility. Businesses have followed work-from-home policies and network monitoring tools. People are inspired to practice social distancing everywhere they go and work from home as well. Healthcare workers, at the front lines of the pandemic, have become celebrated heroes of their communities. However, despite people doing their best, the number of confirmed cases and casualties continues to rise.
While this is foremost a humanitarian and health care crisis, it has left the global economy shaking. Economic exposure and risk, however, is not equitably distributed across all sectors. For business leaders, ensuring the safety and health of their workforce is certainly the topmost priority.
Businesses Buckle in for the New Normal
It is said that the hottest fires form the strongest steel. And for companies, this pandemic is a test of flexibility. While it seems almost necessary that revenues will take a blow, this is a deciding moment for enterprises across sectors to ensure that growth remains viable and clients continue to be delighted. This requires flawless planning and a tactical plan that accounts for further interruptions, while keeping the essentials intact. A tedious job, but it can be complete.As observed, the tendency among decision-makers is to focus more on near-term survival and less on the long-term impacts of uncertainty.
The lack of willingness is disconcerting, to say the least. It indicates a state of denial of the situation we are all in — a situation that will undoubtedly make us more reliant on digital technologies than ever before, and organizations that have not made the transition to digital stand to lose the most. The current demand for flexible and remote access to work has strongly emphasized the value of digital channels. But only a minority of global organizations has the adequate digital maturity to do so, and ensure flawless business continuity. For many others, a lack of supporting infrastructure and poorly designed security mechanisms make transitioning to a digital, remote workplace model an impossible challenge. In an era where physical interactions can be life-threatening, a high degree of digital maturity might be the lifeboat your company needs.
Artificial Intelligence: The backbone of the Future Digital workplace
One of the most important aspects of a remote workplace is real-time IT involvement. A distant workforce relies on various systems that contain multiple intersections that need constant tracking. A failure any one these nodes could result in the breakdown of an entire network of collaborative systems. But a lot of remote workers use their personal devices and personal networks to work. And in surrounding, the IT function does not always have the luxury of readily available access as in on-premises system.
AI allows managements to evade this challenge through the provision of workplace optimization software A workplace optimization tool leverages artificial intelligence, anticipating models, machine learning, and other such digital technologies and cognitive functions to enable resilience, real-time comparability, enhanced mobility, and workplace mechanization. As a result, it reduces the load on IT team members.
Navigating a complex network of remote systems can be a tricky situation for an IT team. Work list prioritization and ensuring that incidents are mapped to the IT support agents are among the most common and pressing challenges
The scope of AI-enabled workplace optimization software, however, goes beyond managing and advancing IT functions. When applied to divisions like finance, the talented learning algorithms of the software can greatly improve effectiveness. By leveraging features such as AI-powered predictive analytics, enterprise finance teams can identify patterns in datasets and develop predictive models, and thereby effectively anticipated revenue changes and diagnose the costs of maintaining business continuity in a COVID-19-stricken ecosystem.
One of the most significant applications of AI is security. With the rapid rise in the demand for remote work access, there has been an explosion in the number of threat entry points to an enterprise’s network. While business continuity is Paramount, security and IT teams have been struggling to secure employee, client, and business data. By regularly monitoring usage patterns, an AI-based network monitoring tool could help cyber-security teams analyze information on the network to detect anomalies and suggest appropriate corrective measures.
Another application of AI is the cognitive virtual assistant. The cognitive virtual assistant is especially proficient at expediting joint activities. In a distant work environment, effective teamwork is one of the first things to go. Collaborative workflow suffers from a general decline in efficiency due to multiple systems operating over complex and information-heavy networks, and language and context inconsistencies.
Thinking Beyond COVID-19
For most of us, the COVID-19 pandemic is probably the most shattering event we’ve witnessed in our lifetimes. And as the situation changes every day, it can be hard to plan for the future in the midst of all the uncertainty. But even as the pandemic pushes businesses to the threshold, many organizations are taking the opportunity to revisit their core models and values in order to figure out ways they can become pandemic-proof, or as safe as possible to similar disasters.
The future belongs to hyper-buoyant businesses and those that can make the most ole work environments. Enterprises need to understand and internalize this new normal.
They need to formulate strategies and make intelligent investments in technologies that will help them navigate the market in a post-COVID-19 world. In a way of speaking, COVID-19 may be the division between what organizations were and what they have the potential to become.