Artificial Intelligence

Four Principles of Responsible Artificial Intelligence

Four Principles of Responsible Artificial Intelligence

Overview –  As AI becomes all-pervading, it needs to be more responsible and ethical. AI without these boundaries can cause massive problems. However, the task is not easy. First, all stakeholders must stop treating responsible AI and ethical AI as…

What is the impact of Artificial Intelligence (AI) on art?

What is the impact of Artificial Intelligence (AI) on art?

Overview – AI has been creating its own niche in art and it has cast its influence in many ways. Art, which has been the sole domain of human beings, is now being created by algorithms and that is a…

Removing Silos With Integrated Data Analytics Platforms

Removing Silos With Integrated Data Analytics Platforms

Overview –  To put it simply, silos are what prevent an organization from achieving its broader objectives, and more than often, at least cause delay in achieving them. Pretty much all sorts of organizations, be it big or small, have…

Impact of Automation in Data Science and Machine Learning

Impact of Automation in Data Science and Machine Learning

Overview – In the age of digital transformation, predictive and prescriptive analytics are key to business success.  As a result, organizations are trying to extract the extreme insight from the data(specifically Bigdata).To accomplish the task of value extraction from Bigdata,…

Quantum Machine Learning: Transforming Data Analytics

Quantum Machine Learning: Transforming Data Analytics

Overview – In the consistently developing scene of innovation, the combination of quantum registering with AI and information science. Interference in Quantum Computing has introduced another time of uncommon conceivable outcomes. This cooperative energy, frequently referred to as Quantum AI…

Smart Hiring Strategies for the Digital Era

Smart Hiring Strategies for the Digital Era

Overview –  To stay ahead in the rapidly evolving job market, companies must adapt their hiring strategies, including job posting, for the digital era. This evolution is crucial not only for attracting top talent but also for maintaining a competitive…

What is the role of contextual Integration in predictive analytics?

What is the role of contextual Integration in predictive analytics?

Overview Context with predictive analytics is the key differentiator for any successful recommendation. It is not only the quality, availability or price of the product, but the ‘context’ (which is real time) that helps make the most appropriate recommendation to…

Understanding Machine Learning

Understanding Machine Learning

  We have heard the term ‘machine learning’ in different discussions and forums, but what does it exactly mean? Machine learning can be defined as a method for data analysis, based on pattern recognition and computational learning. It comprises of…

Impact of machine learning on teaching excellence?

Impact of machine learning on teaching excellence?

Overview Machine learning can potentially redefine not only how education is delivered but also foster quality learning on the students’ part. Probably, the most important part in the role of machine learning in teaching is customized teaching. With machine learning,…

How machine learning can improve security?

How machine learning can improve security?

Overview  The cyber security landscape has been constantly evolving. Perhaps at a pace faster than imagination. One feature of the evolving landscape has been security threats. Novel threats have been giving organizations sleepless nights because of their dynamism and penetrative…

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