Here's How digital transformation bringing no-code AI which is changing the face of work

The events of the last two years have demonstrated how organizations in every industry have been forced to digital transformation their business models overnight. To manage the influx of loan requests, banks had to create web portals. Meanwhile, meal delivery services had to rely on automation and self-service to assist customers when they needed it. The future of work has become an integral component of overall digital transformation strategies as organizations continue to emerge from a significant reset in how employees engage and operate.

Data Underpins the Future of Work

At Tableau, we understand that every digital transformation is a data transformation but achieving data fluency is about more than just using the latest technology and making data accessible to everyone. However, many businesses are not data-driven, and their employees are unable to access or engage with the data required to make informed decisions. We know that data literacy, or the ability to read, work with, and understand data, is one of the most difficult challenges to data democratization. Recognizing that data success requires the human element, Mahindra Finance democratized data across the business – from human resources to marketing – so that everyone can become more confident decision makers and drive the business forward. As the future of work evolves, it is time to recognize that low to no-code AI is now at the forefront of this evolution. It is no longer merely desirable.

No-code Technology for Skill Development: Welcome to the Future

According to Gartner, the low-code technology market will reach $29 billion by 2025, with a compound annual growth rate of more than 20%, demonstrating the scope of the opportunity. We're also seeing how labor-market shifts are becoming more pronounced, with many people quitting jobs voluntarily just as demand for workers rises and economies reopen. According to a recent McKinsey survey, 6 in 10 Indian employees are considering leaving their jobs in the next three to six months, far more than their counterparts in the UK, US, and Australia, citing a lack of opportunities for advancement as the primary reason. There is no code AI. By putting data in the hands of business users, AI can break down barriers and alleviate resource constraints. For example, a sales account executive can use low-code or no-code data science capabilities, or what we call Tableau Business Science, to explore various scenarios and determine which scenarios will best help their customers achieve their objectives.

It's almost as if you gave people a new telescope or microscope to look at their world through.

Natural language and augmented analytics can help businesses drive meaningful decisions, removing the current burden placed on IT teams, at a time when budgets must stretch even further. In the same way that clickable icons have replaced complex programming commands, new no-code AI technologies have replaced programming languages with user-friendly interfaces. AI-powered data stories, for example, can add automated plain-language explanations to dashboards to help businesses quickly understand and interact with data.

This means that more people across different lines of business are better equipped to tackle difficult questions such as resource allocation, prioritization, staffing, and logistics, among others, without the need for a data scientist. The demand for data skills is increasing, and with it comes a huge opportunity to assist people and organizations in learning and solving problems more effectively. Making low- to no-code AI tools available directly empowers employees and helps to build a resilient workforce.