Machine Learning – a branch of AI, is changing the way companies utilise their Big Data reserve, which allowed them to reshape customers’ behaviour. Machine Learning based on the idea that machine can learn from data and recognise the patterns, which result in decisions and predictions with a degree of certainty.

Internet of Things (IoT) is not a new concept. The term is believed to be invented way back when the internet was introduced. Nowadays, the IoT is an umbrella term representing any device that has the ability to connect, or disconnect, to the Internet. Examples of IoT applications can range from household appliances, wearable devices to aeroplanes, etc.

Cloud ERP is in the limelight in recent years. Internationally renowned enterprises like SAP, Oracle and Infor also take part in the game by announcing their main focus will mainly be cloud-based offerings at least for now.

A burning issue of any modern ERP business implementation is CX (customer experience). Customers should be placed at the heart of all subjects and considered an extensive ecosystem that is positively impacting the progression of services, and bringing services towards the development of powerful new trends as well as formation and requirements of interactive & collaborative services in the short and long terms.

Increasing speed to respond more quickly, accurately, and to create values towards customer demands is a key objective that every manufacturer wishes to achieve. So how can speed affect the value chains as a basis to create values? Analysis has shown that the rate can only increase values if

Artificial Intelligence (AI for short) is known with the machine learning ability. In part 1, we have discussed the first two advantages of AI: Performance and Safety and learned that AI can help businesses save a huge amount of time and ensure efficiency.

In part 2, we will continue to discover three more things of AI's advantages in business.

Read more: Business Intelligence and Analytics - From A to Z (Part 1)

Artificial Intelligence (or AI for short) is the intelligence shown by computers and applications. AI is also known to be capable of "machine learning", which means "it gives computers the ability to learn without being specifically programmed". We have been using machines to automate many kinds of tasks for decades, but only recently do we see AI with the automatically learning method. Undoubtedly, that is a huge revolution.

Read more: Big Data in Manufacturing

There are two biggest reasons why small and medium-sized businesses (SMBs) find their solutions in cloud-based ERP systems: Software buyers feel more at ease with using software-as-a-service for important enterprise applications, and cloud-based services can now meet SMB’s wider range of requirements.

Big Data is opening up a whole new world for manufacturers. Moreover, Big Data has become an important element of ERP system with the ability to link all data to people and processes.

As we have mentioned in our previous blog post, the emerging Data Lake - a new type of data repository, is changing the way we use and utilise our data sources. Data lakes keep all kinds of data – usually unstructured, in its raw form, and keep them safe for later intent. Because the new data lake applies the ELT (extract, load, transform) approach, businesses are able to generate profound insights, analysis, and valuable forecasts to support their operations.