Startup businesses are striving from the very beginning to understand their customers' needs and gain competitive advantage over their competitors. As they are running out of budget, time and other resources sooner than corporates they need to rely to disrupting technologies such as Artificial Intelligence (AI) and Big Data to progress to a next round. In this report, we present those dimensions of these technologies which empower startups on understanding and modelling customers' behavior and customers' needs. These are presented from the point of view of prospects and challenges considering, in one hand, the benefits of bringing data analytics into production or service delivery, but also considering the challenges for the startups to prove that they can deliver the right products or services. The confluence of the AI and Big Data technologies transcends all the sectors of even a startup business (manufacturing, information technology, finance, technical operations, customer services, logistics, etc). However, the challenge of a startup is to harvest the best possible business intelligence and implement targeted and earlier innovations.

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The study in question is aimed at examining the use of AI in evaluation processes in startups. The research seeks to address the issues surrounding the use of AI in startup evaluation. The introduction presents some background information concerning AI use in evaluation processes in a newly created organization. A literature review presents more information as proof of the strengths and weaknesses of AI use in evaluating a startup. A clear presentation of the SWOT analysis of the use of AI in evaluating startup organizations. The findings paint a clearer picture of what startup organizations should expect when implementing the use of AI to evaluate themselves. A discussion of the findings is presented in the research to ensure that people understand the issues surrounding the use of AI in evaluating startups and that they know the strengths and weaknesses of using AI in such processes. A brief conclusion summarizes what has been discussed in the study.

One of the instant increases in coaching and mentoring has been apparent in last years, indicating the improved interest in several development aspects. This development concerns all sectors of the economy and society, such as education, health, entrepreneurship. The focus was on actions to enhance efficiency through development, mainly for the labor sector. Mentoring and coaching are now integral parts of educational life and vocational training, with the ultimate goal of the multifaceted development of those employed in various professions. This article was written during the Covid-19 pandemic to study the impact of the pandemic on the digital age and coaching and mentoring processes. The research data have emerged from recent studies, with full knowledge of the prevailing situation, including all problems and uncertainties. As we face the immense business interruptions due to the Covid-19 pandemic, coaching and mentoring play a significant role in maintaining employees motivated and determined during extraordinary times.