AI-powered Market Research: Survey | Form | Quiz | Registration Form | Booking Form

Maintaining Project Networks in Automated Artificial Intelligence Planning

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.

What are key questions the investor normally ask startups

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.

Why do many Vietnamese customers go to coffee shops nowadays?

what are purposes of individuals going to the coffee?

Customer Personas (CPs)

Effective Policy Advocacy and Five Basic Management Skills

Research programmes often culminate in the publication of research findings in international peer-reviewed journals and books. In reality, it is highly unlikely that these outputs will reach policy makers, who are generally time-poor. There is therefore a risk of research findings remaining on the fringe of policy debates and decision making. One way of addressing this gap is to focus on policy-relevant outputs, which are more likely to provide meaningful guidance and decision-making. This requires a more pro-active, targeted and defined advocacy strategy.

The era of internet marketing

The era of internet marketing has gone mainstream and is now being used by many companies.

Content Marketing Strategies for Lead Generation

You can't build a relationship with your audience without first "introducing" yourself to them. Start by writing engaging and informative content that stands out from the crowd. It should be informative and educational, but also fun and interesting. Once you've done that, nurture your relationship with readers by offering useful tips or answering questions they had about a certain topic. The goal of all marketing campaigns is to get maximum exposure for a brand. A highly-trafficked homepage or landing page, will help gain that exposure. Newsworthy content can increase the change of virality and brand mentions from high-level publishers are effective ways of gaining attention. Dofollow links are also important because they boost SEO value. Content marketing is all about getting closer to your audience and getting them more engaged. If your brand’s content doesn’t show you have something to offer customers, then you’ve lost them. The key to creating content that’s a part of a solid lead generation process is grabbing the attention of new prospects and holding that attention with high-quality content that is interesting and evokes emotion.

Artificial Intelligence as a Positive and Negative Factor in Global Risk

Futurist philosopher Nick Bostrom has outlined three dangers of AI development: (1) the risk of cognitive bias, in which people may misinterpret their actions or imagine themselves as having acted; (2) the potential for catastrophic loss of human values; and (3) the problem of controlled AI (Euler 2020).

How Artificial Intelligence and Machine Learning Can Impact Market Design

In the age of machine learning and AI, there is a lot of conversation happening around Artificial Intelligence, Machine Learning, and using algorithms to shape the future of Design and the role of the designer. But how is that changing the way we work in the near future? AI and Machine Learning can be used in the Marketing and Retail industry to forecast consumer demand and producer supply as well as help target products and activities to finer segmented markets. Artificial Intelligence and Machine Learning are used in marketing to avoid market outcomes causing a high variance in prices, or worse, blackouts.