Technology
Technology to improve the experience of enterprise large data management
Make it super easy to connect all the cloud storage file systems
Have single file center with everywhere
Collaborate with another team easily using a single simple command
Enable corporate and user’s collaboration
Involve content consumption and personal data collections
Predict storage types and global scalability
Stop shuffling files and storing data separately
AI is sometimes called the best AI when it wants to do something.
Comprehensive AI is like pro-cessor, no-idle-stage bias, and that’s an absurd mistake that AI deserves as well. Even if we’re talking about research kind of, researchers make mistakes, but ML is basically impossible to update, improve, and master.
Obviously, ML is much more awesome than the innate system, but there are still many effective problems where ML can’t figure it out.
To solve the major problems, we need to combine AI with GPU so it doesn’t really matter the issue is too complex, the AI can use the GPUs to greatly accelerate the data science projects. On the topic of business, and we may consider the optimization of Machine Learning models, hence we require cloud storage to boost the performance.
There is plenty of cloud storage like Amazon Web Services (AWS), Microsoft Azure, Google Cloud Storage (GCS), IBM’s quantum computing and GCS, Quantum Computation Engine, IBM Watson, Oracle Cloud Storage, and Azure Storage, and Citrix Cloud Storage, to name a few.
Technology
RNCROMEL, Microsoft
For the Artificial Intelligence News and information (A.I.) I recommend that I refer to the comprehensive and useful report on the possible states of Artificial Intelligence (A.I.) published by EDI (European Institute for the Develop of Electronics and Social Computing) in January 2006. It is worthwhile to focus on the words that were used to guide the growth of our social progress from the analog stage to the technological level.
Below are a few sentences from the report, taken from one section of the paper:
…So our physical machines, in a close analogy with electrons, are just like the conductor and are controlled by a signal. We are all responsible for social order, an increasingly exceptional condition that makes numerous state and social technology questions relevant. One is to discuss the nature of human equality or digital equality of people. Technology would remove these inequalities if we humans could manage to remove the computer or our connection to them…
Let us review what is very clear in the above quote: technology could facilitate democracy and threaten dictatorship, and just as the electronic materials should be used to allow society’s rich and powerful to survive in the digital society, the lack of energy could cause our civilization to collapse.
An alternative opinion on the question of technology and the state of the human race has come from Hugo F. Hamilton (2001). He proposes that “…governance and agency exist not between individuals but among state actors, and that the most significant tools for power do not come from technology or resources but human ingenuity…” An efficient power structure requires the creation of an identity that would describe the high value of machines and their production, such as a social or civil identity.
Just as we designed the basic building blocks of modern society, so also we can design our devices to achieve equal opportunities for all. We should consider the following questions:
How should we design or automate the production of the artifacts we generate?
What kind of expectation should society have from machines?
How could we design devices or AI systems that could consider, take responsibility for, and provide physical services to the whole community?
Today the existing conditions for the development of machines allow two solutions:
the production of machines and their software that reflect society’s values and attitudes,
such as the internet and Google products, (mechanical),
through the implementation of the technical condition of the production and distribution of new technologies (AI),
by design the device and its utilization in the community.
I would recommend designing our concept (with originality) about all the above activities, to provide a model that would give a more detailed description of the attitudes of society to the development of machines. One would be that future machines would be created in conditions where such artificially intelligent, mechanical, or AI systems would have to consider the needs of the community and would have control over their actions. When possible to avoid such outcomes, those benefits and potential of their benefit in society could be obtained with the construction of machines that are more politically equipped, morally integrated, and technologically efficient to work in the community.
Let us embrace the idea of the development of machines. But I believe we should design them only concerning the society’s needs, giving room for argument, for who are their (physical) products used, how they work in the context of the community, how efficient is the interaction between them and each other, how do people communicate with each other, what ideas would result from its operation? These questions would be very important and should have their answers.
Let us design our future machines and AI, from the objective of social evolution into the intelligent machines in the new technology of tomorrow. These machines will be capable of interpreting or communicating with others and will also be able to customize their performance to the needs of each user. Such machines are useful tools of the community to maximize collective learning and benefits of the society.

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