Artificial intelligence, or AI, is a digital technology that uses computers and machines to mimic the human mind’s capabilities. The AI learns from what it sees around it and when combined with automation can infuse intelligence and real-time decision-making into any workflow. The AI technology drives innovation to smart products and a more pointed focus on customer and user experience. An example is machine learning, which enables a computer or machine to mimic the human mind. Another is augmented reality technology that uses algorithms to mimic digital information and understand a physical environment.

The hybrid cloud environment creates a single, optimal cloud for public cloud private cloud and on-premises infrastructure. It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider. Examples include AWS®, Google Cloud Services®, IBM Cloud®, and Microsoft Azure®.

A blockchain is a digitally distributed, public ledger or record of electronic transaction. The main benefit of blockchain is total transaction transparency for those employees who require it and security from others who didn’t need access. This type of trust is an example of how blockchain can foster a stronger community, internal and externally.
Other technologies include:
• Internet of Things (IoT)
• Microservices
• Digitization

Digital transformation is when you’re helping the company grow and disrupt, true transformation grows the company’s revenue or improves its customer and worker experiences.

Moving more workloads to the cloud, adopting cloud-native development, adopting agile development principles, and implementing automation are not inherently transformational, particularly if they’re only optimizing existing products, services, and processes.

Do you have a data-driven process for identifying and prioritizing digital transformation programs?
many executives answer no.
Data is essential for making informed decisions and measuring the success of transformation efforts,. “Organizations should leverage data analytics to identify trends, gain insights, and optimize their transformation initiatives based on data-driven evidence.”
Company’s must ask if the state of enterprise data and data infrastructure is ready to support transformation. If it’s not, they’ll need to turn that around or otherwise miss out on the ability to seize on opportunities presented by emerging technologies such as generative AI.