Online research is cheap and fast which helps researcher to gain insight quickly. However, beside the good points, online research has also many disadvantages, which make researchers hesitate to use it.
Read more ...Many of the emerging challenges associated with augmented reality (AR) have been addressed in the research literature. For example, the field has focused on issues such as social technologies and privacy. However, recent studies have also addressed marketing-related aspects concerning AR marketing.
Read more ...Modern businesses have increasingly been focusing on analysing and evaluating their data so they can take action with the most relevant information at their disposal. Business Intelligence (BI) has undergone significant transformation in recent years and certainly is not being superseded by artificial intelligence. In fact, it has become more efficient and user friendly since moving to the cloud, utilising AI and machine learning, and its embedded implementation. Business Intelligence (BI) was an integral part of the organization, helping in analytics and decision making. Today's business leaders know that data is a valuable asset that needs to be used effectively to ensure efficient company processes. They require powerful data analysis tools to help them in the decision-making process. Businesses are embracing sophisticated analytics and data science to gain insights and make more informed decisions, the result; turning your BI department into a profit centre."
Read more ...Are you an entrepreneur looking to secure funding for your startup? If so, then it's crucial that you're prepared to answer the key questions investors will ask. Investors want to ensure they're making a wise investment and are likely to grill you on everything from your business plan to financial projections. But don't worry, we've got you covered! In this article, we'll explore some of the most common questions investors ask startups and provide tips on how best to answer them.
Read more ...AI and Machine Learning is the most recent development in data science. It automatically discover patterns, learn from signals, and make predictions with very little human input. Unlike previous AI-related technologies, which were used primarily for military applications, this trend will be a significant business application in project management. Artificial intelligence is no longer confined to cutting-edge IT and technology applications. AI has already begun to make inroads into more traditional settings to augment or replace tasks traditionally performed by humans, including project managers. AI is already being used for administrative tasks such as maintaining registers and logs, automating meeting preparation such as room booking, emailing invitations, agenda drafting, and meeting minuting.
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