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How Would You Define Artificial Intelligence?

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. Since the development of the Digital Computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasks—as, for example, discovering proofs for mathematical theorems or playing Chess. Some claim that artificial intelligence is on the verge of becoming a reality in the form of "thinking machines". Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines and voice or handwriting recognition.

How to measure Employee satisfaction in your business?

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.

Zero waste business and its potential growth

Growth Hacking – Inorganic Growth – Best Practice

Hacking growth by understanding your customers

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.

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.

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."