Core 5 Foundation Principles of AI and Machine Learning

Updated Nov 4, 2019・4 minute read Post By Amit Agrawal
Core 5 Foundation Principles of AI and Machine Learning

We are living in an era privileged with technological advancements. Manual work of the gone days has been replaced and taken over by machines and other automatic software processes. Innovative technologies are indeed transforming each and every sector and so the status and life of humans in the earth. Artificial intelligence development has an exceptional place in the all advancements brought today. The acceptance of artificial intelligence (AI) by mainstream society from a mere concept to a technological reality has turned out to be a new phenomenon.

As the artificial intelligence system and technologies are developing potentially; they are becoming imperative for every industry to make significant progress in daily lives.

Technological Future of Business with AI and Machine Learning

Technology is no longer confined to codifying business logic, ordinary custom web development services or mere process of automation. Instead, it is the new wave of limitless boundaries and speed with which we can foresee the value creation and competitive advantage. Artificial intelligence has the potential to make a transformational impact on business enterprises. By unleashing actionable insights of machines into the work platform, the companies will be able to find result-oriented solutions for the most complex problems.

The advanced AI and machine learning technologies allow the workers to focus on higher-value tasks as they deal with the time-consuming manual tasks effectively. Thus, AI and machine learning is the new phase of technology that is constantly evolving and rendering a competitive edge on the business front.

Impact of AI and Machine Learning in Business Enterprises

By utilizing the right AI technology, you are giving the business certain privileges.

● Automation and optimization of time-consuming routine tasks and process

Improves productivity

● Faster decision making based on cognitive technological outputs

● Can predict the customer preferences and offer a highly personalized experience

● Save time and money and brings more revenue by utilizing the vast opportunities

● Highly efficient AI systems avoid human errors in the processes and make it more precise and clearer

Whatever be the reason for you to consider AI technology, the potential is there for you modify or turn the way your business operates. Being an evolving technology, AI and machine learning constantly go through unexpected shifts and challenges. You must move with the pace of technology and also be aware of its risks and limitations.

The Top Principles of AI and Machine Learning

In every artificial intelligence development or machine learning project, there are certain foundation principles that are recommended to viably utilize so that the solutions created could accomplish the company’s goals and hold lasting value to the company. The following are the top principles you need to be concerned about when you are adopting an AI framework for your enterprise mobility management.

1. Improved Solutions

Artificial Intelligence is an intriguing issue in the technological arena. It is seen as groundbreaking and looks glossy and splendid in general which in turn makes adversities for the companies in generating solutions. It is because profound analytics is not built on how AI will bring broad enduring worth. Considering this venture, you need to be clear with two questions. The first one is what you aim to achieve and how you think AI can make you capable of arriving at that objective. The second question considers the expenses and will the business impact come worthy.

Embracing artificial intelligence implies potential changes in the company’s culture, vision, and processes. An expansive change like this shouldn’t be simple nor cheap. The planning or building up of the AI system should be pondered over and over and as a result, best enterprise mobility solutions are created.

2. Human-in-control approach

Artificial intelligence development, as well as all sorts of custom web development services, must be safe and responsible. Along with the advancements, frauds are also emerging where activities like data theft become challenging. Hence the machines that preserve the legitimate status of the devices should be commanded by humans. That is the structuring and construction of AI frameworks must follow the obligation regarding the law and protection. Specified officials should be allowed to access, oversee, use and control the data in the AI frameworks. In a similar way, the workers are also reserved to have the right of clarification when the AI system is employed in human asset procedures.

3. Ethical black box

For smooth enterprise mobility management, the AI framework should be transparent. This transparency should be encouraged by a gadget that acts as an “ethical black box” to record all the information regarding the ethical contemplations incorporated with the AI framework. Hence along with the transparency and responsibility of the AI framework, its ethical codes will be also ensured. The black box gives a read-out that is uncomplicated and quick and the information given by the ethical black box can be used for decision making, and clarifying activities and thereby improves the user experience and relationships.

4. Governance mechanisms

Ethical AI governance bodies are prescribed worldwide and provincial levels. These governing bodies consist of AI creators, proprietors, managers, researchers, CSOs, lawyers and trade unions. Checking strategies and mechanisms of these governing bodies assures the changes, usages and the ethical notions to which the AI framework is set up. The bodies are reserved for the competence to suggest abidance methods and procedures.

5. Human governance

It is true that the AI system can independently work on human knowledge and is theoretically conceivable. However, it is advisable to not completely envision that the AI system can substitute an individual or a group in a company. Instead, you can take the successful enterprise mobility solutions to transform the workers into ‘super people’ by empowering them. You can use the AI mechanisms in such a way that it relies upon the individuals of the company in direction and decision making.

Few Final Words

Artificial Intelligence systems and machine learning are potential enough to reduce human efforts in various domains. The accurate solutions and results provided by them offer a great future ahead to replicate human work and intelligence.   

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