The technological advancements prevalent in today’s world is practically seeing and believing. Machine Learning is technology that can change the way people currently interact with their environs. Some of the most common things that we hear related to Machine Learning (ML) and Artificial Intelligence (AI) are:
Machine Learning (ML) is a derivative application of Artificial Intelligence (AI). Machine Learning imparts the ability to systems to independently learn, understand, develop and improve from experience of fed in data without being overtly programmed time and again. Machine Learning emphases on the advancement of computer programs for accessing of data to enable them to learn by themselves. Machine Learning helps computers to learn independently without human involvement. This is done through observations or fed in data about examples, instructions, user mannerisms or direct experience. Machine Learning helps applications to look for patterns in data to make better informed decisions in the future accordingly. IF your hp printer is offline then click here.
Gartner has predicted that by 2020 Artificial Intelligence (AI) and associated technologies such as Machine Learning (ML) will have an impressionable footprint in innumerable software packages and shed light in our daily lives.
Some of the advantages of Machine Learning on day-to-day applications are given below:
We have briefly outlined how the above benefits can impact on the future of Machine Learning. Read on to enhance your knowledge on Machine Learning. Read about here Ducted Air Conditioning Sydney.
Machine Learning applications follow the simple norm of adaptive and programmed generation of troubleshooting interpretive models. Machine Learning programs automatically learn to generate algorithms based on previously solved identical tasks for getting the correct results. Developers associated with Machine Learning applications and programs need to have a thorough knowledge of mathematical statistics, optimization methods, numerical methods, probability and graph theory, along with other multifarious data management techniques.
There are many specific platforms and frameworks for ML based project works enhanced with the above methods and techniques. Developers can apply their energy towards developing the business logic and application’s interface with ease. You can use either of the below given according to the suitability of your ideated project work.
Mtoag Technologies can help you with making the right choice for the successful implementation of your business idea.With their aid, a programmer needs not to bother with the implementation of mathematical models and devote their time to developing the application’s interface and business logic.
Discover below the future impact of Machine Learning in our technology savvy world.
The advancements in cyber security have projected ML algorithms ante to the next level of learning. The speed and accuracy parameters of ML applications are bringing cyber security personnel and data scientists together to accomplish common software development company objectives.
Drones are capable of changing our way of living in the present as well as the near future. Drones are doing door-to-door delivery and carrying various sizes of objects ranging from food, medical supplies, other essentials, etc. They are adept at reaching locations that may be easy or complex to reach in the fastest way possible.
This is because they can fly directly to the location. No hassles of traffic snarls and congestions normally faced by the human delivery system. Drones are also being used in industrial installations security as they do not require a change in shift or need to take rest. Drones are also being adopted by the armed forces. They are capable of enhancing the armed forces reach to safeguard sensitive areas difficult for armed personnel to monitor.
Machine Learning and Artificial Intelligence have piloted in a new epoch in the history of Information Technology. They are bringing in transformative variations across industry segments such as:
Machine Learning applications and machines can deliver accurate and apt diagnosis of patient conditions to impart improved outcomes. Practitioners can efficiently devote their time on focusing on patients without missing out of any iota of information relevant to the patient’s healthcare development condition.
ML can provide opportunities for fresh business models in the capital markets sector. Capital market operators can utilize Blockchain technologies to predict capital market movements to effectively detect fraudulent transactions or nefarious activities & Finance Sector. ML can help in maintaining a safe and secure investment business ecosystem.
Machine Learning can adapt well in the real estate business. Investors and start-ups can easily connect and invoke the power of Machine Learning algorithms for transforming the inert system. The real estate industry would turn into a live, collaborative and interactive machine giving responses, recommendations and approvals.
Machine Learning is able to automate the repetitive tasks essential in a Database system. Enhance with advanced tools Machine Learning technology is able to provide a value-added assistance to organizations rather than mere rotational functions.
Some of the potentially prominent areas for implementing Machine Learning are given below:
To conclude on the future of Machine Learning, it is evident that there are vast possibilities and capabilities. Do you have a product idea that could benefit through Machine learning algorithms? Get in touch with Mtoag Technologies for a robust and scalable product.
Dairy Delivery Software
Native Milk always had to deal with route optimization to maximize profit and frequent changing of delivery boys. While this was easily manageable manually in offline business, it was a big headache when their business went digital.
We developed a mobile application for the drivers with route optimization. The total delivery area is divided into various routes and orders are sorted according to different routes. A driver is then assigned a single route.
PlanTech, (Construction Project Management software Case Study) a well-established US based construction company with huge projects, needed an improvement of their business processes and better optimization of their resources. As their business expanded, projects continuously got delayed which resulted in lawsuits by unhappy clients. We faced a variety of challenges to develop niche technological solutions for a company involved in the construction industry.
We designed separate web and mobile applications for foremen i.e. project managers and for construction staff (labourers). The applications has synchronized features such as calendar, attendance etc. that were updated real time Simple user interface for the layman was developed after many iterations and approval from the client.
We developed a dedicated central project management panel. The purpose was to have a centralised system update where all team leaders from different departments could update on their tasks at work.
We needed a fast technology to synchronize the source data to our system.
We had to run our programs real time during the horse race.
We ran our calculations on the given data, but by the time we generated an analysis of the probable winner, the market trends and positions of the race horses altered so our result had no value.
The reason behind using node.js is that we were able to establish a swift and persistent connection between betfair and our algorithm.
We could run our program with race data and generate results using the latest trends up-to-the-second with more than 99 % of the source data matching with our index.
On-Demand Delivery App
The client was clear with their needs but was not tech savvy enough to state specific requirements.
In GetIt the driver and vendor are treated as separate entities unlike a regular taxi application where such division does not exist.
We initiated brainstorming sessions with the client to plan out the project.
We built application functionality to optimize the process while simultaneously taking all stakeholders into account.
The client had an understanding of NFC but they had no idea of how the technology behind NFC works.
The client needed a secure platform as they wanted to keep the customer data secured.
We did a knowledge transfer with the client and explained the technology behind NFC and QR code.
We undertook a variety of security measures to prevent any leakage of user data.
The oldest insurance company of Lebanon reached out to us. They needed to digitize their operations and develop a lending application.
The target customers of the bank were mostly laymen with not much technical know-how. They consisted of old people, rural families, middle class urban families etc. Thus digitization was a challenge.
We developed a mechanism for the bank to directly disburse the loan amount to the customer’s bank account. This saved a trip to the bank of the customer and saved a lot of time for both the parties.