5G becoming part of Organisations edge-computing plans

There is no denying the fact that the Infrastructure, apps and security internet of things (IoT) solutions create new experiences and drive smarter operations from data captured at the Intelligent Edge. The rapid expansion of devices creates opportunities to gain faster insights by connecting the unconnected. With the global population swelling to 9 billion people by 2050, the world will have to double its agricultural output or face the risk of mass starvation. The solution would be digital agriculture that will create exciting opportunities to increase the efficiency, quality and sustainability of global food production. By using the partnership’s new AgTech innovations, researchers can now better understand how soil conditions, plant growth and other factors can help farmers make better in-the-moment decisions - and also support informed public policy.

Now an ultimate question comes how the CIOs can make a business case for AI in this present environment . Digital business is accelerating interest in artificial intelligence (AI) at a pace that has left many CIOs hurrying to build an AI strategy and investment plan appropriate for their enterprise. CIOs are in the perfect position to educate their company’s CEO and board about recent developments in artificial intelligence and show how AI might influence their business and competitive landscape. A report from Gartner, speaks on Organizational interest in artificial intelligence (AI) projects has steadily increased in recent years. Just 14% of organizations had deployed AI in 2019; however, that number rose to 19% in 2020 and is expected to reach 24% in 2021.

This growing interest in AI will influence organizations' technology investments in the immediate future. Yet, AI adoption requires more than just the latest technologies or modelling techniques. When we try to scale the AI in the enterprise - CIOs need to articulate a clear business purpose and rationale to invest in these technologies.

AI is technology that emulates human performance, typically by learning from it. The most common mistake with AI is to focus on automation rather than including augmentation of human decision making and interactions. If CIOs focus only on further automation via AI, they miss the hidden opportunities for greater personalization and differentiation. AI can augment humans, as it has the ability to classify information and make predictions faster and at higher volumes than humans can accomplish on their own. Secondly, AI algorithms carry new governance demands. Such as, AI is a tricky technology because algorithms can operate independently of human actors. This means that they must act on behalf of all actors. Ensure transparency and openness in all decisions. Furthermore, ensure that governance discussions happen in parallel with technology discussions.

AI’s potential to reduce staff head count attracts the attention of senior business executives as a potential cost-saving initiative. A more informed expectation, however, would be for applications that help and improve human endeavors, as AI promises benefits far beyond automation. Organizations that embrace this perspective are more likely to find workers eager to embrace AI.

Deepak Sahu, President & CEO, VARINDIA