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AI Transformation in 2021: Stat of AI-driven Digital Transformation

AI (Artificial Intelligence) transformation is the subsequent stage of digital transformation. Companies are now willing to invest in Artificial Intelligence technologies to remain ahead of competitors. However, before moving to AI transformation, digital transformation is crucial. 

Digital Transformation (DX) is one of the most vital initiatives many companies have initiated or are taking up. Also, an assorted range of technologies like Robotics, Virtual Reality (VR), SaaS, IoT (Internet of things), and many more play a pivotal role in the digital transformation strategy paving the way for Artificial Intelligence (AI) and Machine Learning (ML).

Understanding AI transformation

AI (Artificial Intelligence) transformation is the subsequent step after digital transformation. After a business embraces digital methods, the following action is to increase the intelligence of those methods. This would raise the automation level and the process’ effectiveness. 

Also, AI transformation affects all aspects of modern business, including both operational and commercial activities. This is why tech giants are blending AI into their products and business processes. 

Picture 1: The Path of Digital Transformation

Steps included in AI transformation

Mentioned hereunder are some vital steps required in AI transformation: 

1. Define your company’s AI strategy

The initial thing to keep in mind while moving towards AI transformation is to define your company’s AI strategy. This includes identifying your unique data source, internal resources to drive the automation and setting time-bound enterprise targets.

2. Execute the defined strategy to gain trust

This is the most vital step that decides the fate of your AI transformation. Also, your strategy execution should create some measurable value to gain organizational trust with accomplished projects. 

Moreover, these projects usually rely on machine learning and use encrypted data to present a low-cost method to execute data solutions. However, this is a tricky and crucial step; businesses rely on companies like Domaincer to get the set strategy administered accurately. 

3. Deploying in-house AI transformation team

The next step to follow while adopting AI transformation is to deploy an in-house AI team. While initially outsourcing looks like a better option, deploying your internal team for AI (Artificial Intelligence) transformation will be more beneficial in the long run. 

4. Strategize internal and external communications

To warrant your business remains thriving on the path of AI transformation, it is imperative to retain both the internal and external teams aligned. This internal and external communication will increase only when all the business teams remain on the same page. 

Executives and seniors alike should understand what Artificial intelligence can do for the company and create a successful AI strategy to foster smooth communication and execution. 

To sum up, we can say AI (Artificial Intelligence) is here to stay and help businesses become more efficient and remain competitive. Also, Artificial intelligence has become a growth catalyst and a strategic factor that fosters the growth of an enterprise and presents a competitive edge. 

However, the only challenge for businesses embracing AI transformation is how to manage the changes this transformation brings to organizational structure, management culture, market agility, operational efficiency, and workforce training. 

This is why businesses must seek expert assistance for a more streamlined AI transformation to ensure that the company remains thriving to deliver measurable and attainable outcomes.