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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.

Growth Hacking – Inorganic Growth – Best Practice

Zero waste business and its potential growth

Exploring how organizations use corporate social responsibility (CSR) to reinforce brand equity

Spotlight on CSR, the next big thing in corporate responsibility. According to research from PR firm Edelman, 70% of consumers say they are willing to pay more for a business that supports worthwhile social causes. This is considered a point for businesses to target when they want to hit the buying psychology of consumers, and CSR is the term used by businesses to refer to this activity. So what is CSR and how does it effectively support business operations today, let's find out with MarketingAI how to achieve this.

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.

Business Intelligence: Applications, Trends, and Strategies

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."

Business Intelligence, Accountant, and Marketing Intelligence

Business Intelligence systems provide data and reports to help your business be more successful. They allow the entire organization to take a broader view of the data and make better decisions. Look for a scalable system that allows for mobile access from wherever people are working, provides a range of connectors and integrations for you applications so you can pull in all the data needed to analyze the KPIs that your organization considers important, and supports a variety of different tools to help users visualize data with dashboards, create reports and use advanced analytics tools.

Intelligent Analytics: Integrating Business Intelligence and Web Analytics

Business intelligence solutions are equipped with interfaces which are worthy of Business Intelligence. Web Analytics solutions analyse increasing amounts of data coming from the web and use this data to provide powerful insight into your business operations.

How to analyse qualitative data

When we conduct research, we use qualitative data to understand people's opinions and experiences or to determine whether or not a product or service is meeting customer needs. In the digital world, we're lucky to have a wealth of qualitative data to work with. But how do you sort through this information and retrieve the details that matter most?