Oil & Gas Sector to Adopt New Technologies

In the previous blog, I have discussed the basic principles of Robotic Process Automation (RPA) and explored why the technology provides a tremendous opportunity for insurers.

In this post, I’ll discuss how to get started implementing an RPA solution in your company.The first thing to understand is that unlike traditional technology investments, the best way to get started in RPA is by jumping in with both feet.

At Charter Global, we recommend starting with an affordable pilot program that can deliver real-world results in about four weeks.The pilot begins by choosing a process to automate and identifying the underlying systems and platforms used to complete the task.

The business owners then work with us to capture the entire process from start to finish, with each input, review, decision, and output identified and documented.While this is taking place, we look at the hardware and software tools available and select the one that is the best fit for your organization.

Because configuration does not require that the underlying systems and applications be modified, the configuration is relatively straightforward and efficient.

The process documentation already captured above is entered into the software to replicate the previous manual workflow’s touchpoints and decisions.Once the software is configured, new processes can be easily added and modified by business users, without the assistance of IT resources.After the usual testing and output checks, the outcome of the four-week pilot is a working process automation system that can be explored and modified as you go, responding to identified goals and opportunities and providing real-world metrics and outcomes.As this series of blog posts has outlined, RPA offers insurers a tremendous opportunity to reduce costs and improve service levels without a huge investment of either time or money.

Manual ID verification is slow, tedious, and inefficient.

By using artificial intelligence, it is possible to streamline identity fraud solutions.Read full article: https://diro.io/understanding-artificial-intelligence-identity-fraud-solutions/

For instance, their predictive models are predicting Sepsis in Pediatric patients, and the real-time audio signal analysis helps in delivering more audible sounds to people using hearing aids.Retail — AI is being used in the entire retail product cycle from product designing to selling.

Online merchants and retailers are investing in AI to enhance their customer experience.

Each of them is aimed at specific applications and uses specific technologies for them.COGNITIVE COMPUTINGCognitive computing refers to the imparting of the human thought processes in a computerized model during complex situations where the answers can be equivocal and undetermined.

It imitates the way humans think, learns, and adapt, thus, allowing a broader range of real-time insights and actions.For instance, cognitive computing helps the HR department in making hiring decisions, assists in determining the diagnosis and treatment based on the patient’s data provided by doctors, and helps the call centres in improving their customer experience.The technologies that Cognitive Computing uses to enable these actions are:Cognitive Intelligence — It comprises tools and technologies that enable bots, applications, and websites to view, listen, speak, and understand the user requirements via natural language.Emotion Detection — It tries to determine people’s feelings by utilizing capabilities such as expression analysis in picture or video, change of pitch in speech, and much more.Sentiment Analysis — It uses natural language processing, text scanning, and computational linguistics to recognize, extricate, measure, and study affective conditions and personalized information in messages, images, voice notes, and videos.MACHINE LEARNINGThis application enables systems to learn and upgrade automatically from experience without being directly programmed.

The goal of machine learning is to develop computer programs that can obtain data and use it for learning on their own.Basically, machine learning is used in:Machine Vision — It uses machine-learning-based image analysis and detection or automated AI to give image detection capabilities to systems like humans.Pattern Matching — Its algorithms examine the existence of a given series of data in a bigger set of data.DEEP LEARNINGDeep Learning is a sub-unit of machine learning which has networks capable of unsupervised, semi-supervised and supervised learning from untagged and unformed data.

These systems continue learning and directing themselves as new data moves in.Deep Learning can aid in interactive real-time applications that include machine translation and visual and voice recognition using the following technologies:Neutral Network — These are data and computational systems that imitate the human brain for interpretation of data and patterns recognition.Fuzzy Logic — It uses arithmetic methods and tries to estimate human reasoning to make conclusions on raw and equivocal data.Image Recognition — It uses data to recognize objects such as building, people, places, etc.

According to an IDC report, the growth of IoT across Manufacturing is exploding like anything.

The report further states that worldwide spending on the Internet of Things to reach $745 Billion in 2019, led by the Manufacturing, Consumer, Transportation, and Utilities Sectors.IoT in manufacturing is useful for the below reasons:IoT for employee safetyIoT for asset tracking IoT for inventory management IoT for predictive maintenance IoT for production quality 

Both RPA (robotic process automation) and AI (artificial intelligence) have seen immense advancement in the present decade.

While both technologies are dissimilar, it is interesting to see that when it comes to businesses, both help achieve the same ends—growth.

AI + RPA solutions is a formula that is being increasingly adopted by numerous organizations to achieve business growth.

“AI is an area of computer science that maintains the creation of intelligent machines that operate and react like humans.

Some of the actions of computers with artificial intelligence are created that include speech recognition, learning, planning and problem-solving”

“RPA is the practice of automating everyday business practices with "software robots" that perform tasks automatically..

Technology has brought a significant amount of change to every sector of the economy.

The improvement in the field of automation technology has tremendous implications for businesses moving forward.

One of the sectors that artificial intelligence has had a particularly strong impact on his automation.Subscribe free now to get more technological updates!

https://is.gd/6m5zJv Automation has numerous applications in the field of marketing because of the ubiquity of repetitive tasks.

Artificial intelligence technology has the potential to increase production, reduce the number of errors, and improve efficiency.

As technology continues to advance, the impact of automation marketing on a company’s bottom line will only become more pronounced as it reduces overhead costs and improved customer acquisition.The future of marketing automation is going to be defined by the continued technological advancement in the field of AI Therefore, there is a couple of dozen of advances and programs that will define the future of automation technology in the field of marketing.

As we continue to move towards a completely hands-free digital world, the way in which we choose to find, search for, or inquire about information using our digital devices, is changing.

This will drastically impact current SEO techniques, as voice search and automation will change how content is written, will impact ongoing SEO efforts, and it will narrow down target markets.The Regions Where We Are Seeing the Most Impact Within SEOLocal Businesses Are Seeing New Opportunity.According to Marketing Tech News, about 22% of voice search users are engaging with voice search to find local businesses near them using the “near me” search feature.

This allows you to simply use your smartphone’s GPS, voice search “____ near me” and watch as the results pop up.

You can search for anything from fast-food restaurants to specific stores to local chains.

This provides ample opportunities for smaller businesses that would likely have little to no chance to appear on the first page of Google.

Smaller businesses can drive awareness to their business by using comparison sites and local site directories to make their presence known without spending large amounts of their budget on traditional SEO techniques to rank on the first page of Google.Content Must be Catered.The content that is created for businesses will need to be optimized for customers and not search engines.