ML is helping customers to fetch better granular-level information from large datasets. This will give a huge competitive advantage in business, as the customer is able to integrate their data from different sources, which will help the management to take major decisions ahead of their competitors. As we get this result with the relevant reasons behind it, we can help customers with accurate and productive data. The potential of AI in our daily life is immense.

We have a new development in ML every day, and ML will be extended even further. All the biggest public cloud vendors use ML-based techniques in their daily operations. Apple, GE, and Bosch are also gathering massive amounts of data and applying machine learning techniques to filter out only useful data. GE is accumulating data analytics through its industrial internet, and Apple has a huge amount of consumer and health data from its millions of end users, which helps them to emerge as major players in AI. 

Embedding AI within present cloud technologies is helping businesses and consumers to grow and also creating new opportunities with all the relevant information to plan for the future. We are moving toward intelligent infrastructure where AI uses machines to adopt human intelligence. AI is based on rules-based logic, decision trees, and methodology to enable it to behave like a human. ML analyzes data and enhances the performance of repetitive tasks. DL will help machines learn by locating and checking various options against one another in order to get the best result or solution.

Customers have adopted the cloud and are now embedding ML techniques and its capabilities to extend its dynamics and delivering values to customers. Customers get a safe and secure environment with the scale up and out capabilities. The cloud provider receives loyal long-term customers in return. Every cloud provider is better than others in specific fields, from a business and an AI perspective. This will give customers diverse offerings with specialized intelligence for their unique requirements.

VMware will help customers with intelligent infrastructure that can deliver a comparable and secure solution across mixed clouds to choose the right cloud provider for their unique business requirements, such as security, backup, disaster recovery, networking, storage, graphics, and management with basic compute resources. 

A good example of intelligent technology is Google Maps. When we leave our office for a meeting, with Google Map's guidance, we are able to identify alternative routes via AI, saving us valuable time.