Cloud Adoption Framework is a set of best practices, tools, and guides that most public cloud vendors publish. The idea behind these cloud adoption frameworks is to assist organizations to embrace public cloud securely, efficiently and faster. The cloud adoption framework comprises each phase of cloud acceptance, from planning to living in the cloud. It provides a very well-tested checklist and steps to choose the right path for cloud migration and the right tools to help reduce potential security, governance, and budget problems.
The good thing about the cloud adoption framework is that it covers technological, people, processes and business aspects. Therefore, it helps to align business strategies with the culture, business and technology inspirations to achieve the business benefits.
The cloud adoption framework is your guide to making the most of your cloud investment. Most organizations are adopting the cloud as per the IDG’s 2020 Cloud Computing study reveals that 92% of the organizations are somewhat in the cloud.
Organizations must adapt to the cloud with proper planning and strategy in place. However, I observe that even if they have the strategy, they have just started consuming the cloud with the migration of simple applications and don’t have any proper framework or rules to follow. Another challenge I am seeing is that organizations don’t have clear visibility to their digital estate. When you start planning about cloud migration or adoption, the first question that comes to mind is to discover or assess the current IT state, which sometimes becomes painful to complete. Sometimes, what is being observed is that relevant stakeholders don’t know where to start and the requirements or initial checklist they need to follow to migrate to the cloud.
According to Gartner, if we map to the trends impacting cloud adoption, there are four critical areas.
There is no doubt that each organization is unique with the operating model, products, services, organizational infrastructure and technology. Now adopting the cloud also depends on the business functions, services and applications are used in the organization; it will be unique to every organization. However, as we are seeing, most organizations are moving to the cloud, so we can say there is a pattern emerging. These frameworks are the results of these patterns concluded from a large number of cloud migrations journeys. Take an example of the work done by the Open Data Center Alliance Cloud Adoption Framework
Another paper was presented during the 2017 international conference on information systems and computer science with the name “Unified Cloud Computing Adoption Framework.” which describes the process in six steps framework, current situation definition, requirements definition, providers analysis, providers assessment, decision, and migration.
Another interesting and the most I like Enterprise Cloud Adoption Framework developed and shared by the MITRE and targeted areas to address are Political leadership, Organizational, Economic, Technical and Security (POETS) factors.
A deepfake refers to a specific kind of media or photo where a person in an image or video is transacted with another person however it will look like the original person in an image or video.
To make a deep fake video, a creator swaps one person’s face and replaces it with another, using a deep learning algorithm generative adversarial networks (GAN).
A formal definition as per Wikipedia:
Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. While the act of faking content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive. The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures, such as autoencoders or generative adversarial networks (GANs) – Source: Wikipedia
An inspirational talk with the guest speaker on a variety of topics, like