Develop cutting-edge intelligence to empower your productivity.
to Inspire Value
Intelligence is a self-sustaining organism. With Machine Learning, algorithms have the power to understand, and improve their situational awareness, and build on it. The benefits this poses for industries is substantial.
From manufacturing, to finance, or e-commerce – the applications of these algorithms are a deciding factor in securing competitive advantage.
Your business stands to earn unprecedented value using this technology. But to build on the knowledge gained by these machines, you must lay the groundwork to let it happen. Develop your business, enhance your productivity, and conquer the market. A promising future of predictive analytics is here.
Machine Learning Applications
Discover a range of outstanding functionalities
>80% of Netflix users make content selections based on Machine Learning recommendations.
Benefits for Your Business
Unlock the potential for your business activities
Solidify Market Position
Leverage Big Data
What is Machine Learning?
Machine learning (ML) entails an advanced level of self-awareness of computers and systems. Here, unique algorithms can help devices understand and improve performance based on experiences. Machines then use this knowledge to exponentially boost their abilities to function and solve problems with unprecedented effectiveness.
As a subset of Artificial Intelligence (AI), Machine learning applies AI to a variety of functions. By building a mathematical model, using sample data, machines make highly informed predictions on possible scenarios. This presents unlimited potential in business applications, making it a cornerstone of Industry 4.0. ML processes apply to virtually any industry, from Agriculture, Banking, and Marketing, to Medical Diagnosis, Manufacturing Processes, or Telecommunications.
Machine learning is also known as Predictive Analytics.
Why is Machine Learning important?
To succeed is to make knowledgeable decisions. But through traditional research and analysis, how much manual insight is enough to make a sizeable impact on your enterprise? With Machine Learning, your systems will optimise to improve all aspects of your business.
Applications vary from filtering email inboxes to manufacturing equipment optimisation, to precision weather forecasting across vast geographical areas. Your business will secure a more advantageous position, as ML will empower you with an end-product that responds to market demands more precisely, and efficiently interacts with customers.
Identify trends, improve business functions, or discover crucial sources of revenue potential. The possibilities are limitless. Learn from the past, to optimise the present, and unlock a secure future.
Cloud-based ML services
There is a considerable chance that you already benefit from Machine Learning.
ML algorithms play a substantial role in many of today’s most prolific B2B and B2C products and services. According to Forbes, one in ten enterprises uses ten or more AI applications, each continuously optimising through ML.
Use insights from data mining to make product and service recommendations to customers. Optimise logistics and transport by providing data-driven routing information. Ensure security and process integrity remains robust, with online fraud detection.
Notable examples in popular software include chatbots, virtual call center assistants, as well as face and voice detection. Additional applications entail market segmentation, autonomous diagnostics, fraud detection, as well as software in autonomous equipment and vehicles.
Machine Learning development process
Follow a proven method for your project development
Analyse, understand, clarify.
Development or implementation of an ML project.
Constantly help and improve.
The cost of Machine Learning project
By nature, Machine Learning entails comprehensive levels of knowledge and insight. Your business processes will contain datasets that will require identification and preparation. The scale and cost of depends on the time and level of data needing processing. Furthermore, your preferred level of intricacy regarding the machine-learning algorithm will determine your totals of resources and commitment.
The level of sophistication will also present a specific outcome to your final cost. As this process will entail a team of IT professionals, their presence and commitment may differ by time, as well as frequency in attending to your ML algorithm. You may also wish to refer to your existing in-house team, with an option to augment with extended IT team members. Alternatively, you may opt to outsource your project to our teams, entirely.
We’re your team of Machine Learning developers
At SoftwareHut, we’re a team of 200+ experienced software developers, ready to deliver your ML project. With over 200 projects delivered for our clients, we know our craft when it comes to bespoke software development.
We’re an extended team, which means we can join your project at any time, working hand-in-hand with your in-house software developers. You don’t have a team? No worries, we take on entire projects, too.
We use the best tech on the market
What our clients say about us
Without the help of SoftwareHut we would not have been able to scale as quickly as we did.
SoftwareHut delivered a quality product, resulting in an ongoing partnership. The skill level and quality of work is fantastic as well as the responsiveness for requests. They're worth every penny.
The code delivered by SoftwareHut contributed to increased sales
Their team was well organized and disciplined, delivering exactly what was requested within the timeline and price point that they promised.
They’ve demonstrated their agility every time we had a new requirement
Under high pressure, they were quick to produce a great product, piling together resources at an impressive rate. As their amazing efficiency did not compromise the quality of their work, they've secured future collaboration.
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Do you have any questions?
We’ve covered some of the most frequently asked questions to make the decision easier for you.
Machine Learning is the process of computer algorithms, that self-improve automatically, through experience.
Machine Learning is a subset of Artificial Intelligence. By applying AI, machine learning algorithms self-program to study data samples, and make autonomous predictions.
The applications provide actionable results to productivity, product quality, and market insight. In effect, every modern enterprise stands to benefit from Machine Learning.
The wide range of applications means everyone, from the Sales and Marketing departments to Manufacturing, to End-users will reap value from the effects of Machine Learning.