Businesses were forced to shift to remote working during Covid-19 pandemic enabling technology as the primary source.

The proverb ‘money makes many things’ can be twisted around to ‘technology makes many things’ to keep them in trend. Yes, the modern era of tech has already reached that extend. The business world has been more and more leaned on towards technology in the past few years. Even though when businesses existed for a very long time, it is technology in today’s scenario that is taking the industry by storm. The advancements in technology and the majority of business operations and transactions now somehow involve the use of technology in it. However, this doesn’t promote the point that technology is equally shared in an entity. Alike every other sector, business organisations also face an untold discrimination story when it comes to sharing data and tech models that are used within.

Companies worldwide are relying on emerging innovations more than ever to drive strategy, growth and increase competitive advantage. Technology has become a crucial and indispensable part of almost every kind of business. Technology in the business allows organisations to improve both the performance and overall effectiveness of products, systems and services, which in turn enables businesses to expand quickly and efficiently. The digital transformation was further accelerated due to the covid-19 pandemic. Businesses were forced to shift to remote modes of working, enabling technology as the primary source. Businesses used cloud platforms to share info, predictive analysis to analyse data and conducted virtual meetings. These changes were very rapid. However, technology managed to blunt the ends where business fell. Equitable access to technology is the raising issue in the sector. Even though when disruptive technologies bring many changes to the working environment, complaints show that technology and information from technology is not equally shared drawing flak in organisations.

Addressing the unequal data accessibility

Access to data is mandatory for organisations progress. Employees do most of the work by availing data content. But the issue here is that data is vast and stored across a suboptimal mix of cloud-based and on-premise enterprise systems. For example, suppose an organisations data is spread across 1,000 on-premise data centres, and the employees in administration, operations, policy and scientific analysis have uneven access to them. In that case, the data cannot support business goals. Henceforth, companies are relying on open data sources rather than an encrypted one. Cloud technology is also leveraged here and there to provide elastic, scalable infrastructure build for speed, productivity and innovation.

Providing equal funding to all departments

Technology is all about investing in it. The primary step for any organisation to become digital is to spend on relative technologies that could improve the general human work cycle. However, companies can be rational about it at times. Some teams get approval to make the investment in the technology they want and execute their goals, while other doesn’t. For example, IT teams in companies are often provided with funding to invest in technology while other departments stay far behind them. Henceforth, businesses should stop thinking that the IT department is the heart of the system and start unveiling funds for other departments to invest in technology.

Leveraging AI and automation tools to all

When it comes to technology at an office premise, automation and AI models and tools take centre stage. Teams are divided into automation and AI accessibility. Teams without automation and AI tools find themselves behind in terms of productivity and AI skill development. For example, in a software programming company, if only half of the employees are provided with AI tools, they become experts at collaborating with AI systems and are less prone to errors. The other half is extremely incapable of any of this, leading the company to face inequality and work imbalance. Henceforth, when an organisation brings in AI tools or models, it should make sure that it is equally leveraged to all members.