17 Dec

Intelligent Operations is a flexible, interactive, proactive approach that is rapidly transformed into an operational system as an organisation matures. The key is unlocking operational interoperability of all processes to unlock new productive business value from the existing set of assets. This is easier said than done however, with many companies struggling to adapt to this ever-changing environment. Integrating intelligence in any organisation is not always a straightforward endeavor. Often it is best left to the experts to implement these methods of managing and operating a complex organisation.


Cloud-based artificial intelligence is a method to provide solutions for complex business problems in a modular, repeatable and reusable manner,  check it out now! It can also be used to reduce the cost and risk of implementing complex solutions as they are designed to solve problems in a generic way. These software systems have evolved to form the basis of many of today's business processes such as customer management, supply chain management, product analysis and manufacturing process design and management etc. Many organisations have already adopted some form of cloud-based artificial intelligence tools and systems.


These systems bring together two closely related concepts which are the synergistic integration of humans and technology through human-computer interactions, and the use of Artificial Intelligence (AI) in business. AI is the term used to describe computer programs which can achieve specific tasks by coordinating with the humans who operate within the organisation. In the past, most businesses developed their own internal systems and trained staff to use them. The effectiveness of such systems depended on the expertise of the people using them. However, as more organisations require and continuously need to operate artificially intelligent systems, it has become necessary to standardise and regulate the interfaces between artificial intelligence and business applications. Discover more info about the intelligent operations and how it enhance business efficiency.


An algorithmic decision making is one such important function of an artificial intelligence decision support system. Humans can make decisions without considering all the facts and whereas such systems allow for a thorough and complete analysis of an issue, they do not allow for the human element in decision making. In addition to this, a quality expert can review all the available information and algorithms and then give a better and more logical reason for the results. It makes sense to deploy intelligent operations systems that meet or exceed the current industry standards in operational efficiency.


The need for a standardized interface to run cloud-based artificial intelligence decision-making applications was brought about by the recent adoption of an internet-connected platform in the banking industry. The likes of SAP and Oracle have long been regarded as the industry leaders when it comes to decision-making and application deployment. The recent expansion of the retail industry into cloud-based e-commerce environments has created huge challenges for companies deploying traditional business applications. This is where the need for a uniform interface is most critical, both from an economic and operational perspective.


Companies that are looking for cost-effective and scalable artificial intelligence software for operational activities should consider hosted services provided by a provider with a solid technical background and a proven track record. The most important aspect of any cloud solution is resilience. A robust system should be able to withstand attacks from both internal and external sources, along with sustained and sudden system failures. Data loss and data corruption should be a major concern for any cloud solutions deployed. Furthermore, the collection of metrics should allow one to objectively look at how automated decisions are impacting company performance. This will provide insight into whether automation is actually reducing company productivity and whether it is truly achieving the levels of success that were originally imagined. Check out this related post to get more enlightened on the topic: https://en.wikipedia.org/wiki/Operational_excellence.

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