Machine Learning (ML)

Extract meaningful insights from raw data to quickly solve complex, data-rich business problems for your company.

The Need for Machine Learning

Machine Learning algorithms learn from your company’s data iteratively and find hidden insights which will enhance your organization’s scalability and improve business operations. The technology serves as a solution to a variety of convoluted business problems and predicts complex customer behaviors.

Benefits of Machine Learning

Deeper customer insights

Machine Learning can assess your customers’ data to derive meaningful business insights about customer lifetime value and customer segmentation. It can help predict customer behavior, purchasing patterns and send best possible offers to individual customers based on their browsing and purchase history.

Makes business decisions easy

While most companies have big data, extracting the correct information and making a decision from that data is difficult. Machine learning algorithms will learn from your existing data and transform it into knowledge and actionable intelligence. The algorithms also account for changes in market demands and business circumstances. With all the insights at hand, your key associates will be able to make key decisions rather easily.

Eliminates manual data entry

Your organization certainly faces issues due to duplicate and inaccurate data. Machine Learning programs significantly avoid any errors caused by manual data entry and make these processes better by using discovered data. Moreover, your employees can now utilize the same time for carrying out tasks that add value to your company.

Enhances cybersecurity and network performance

For your organization to maintain network security, any unwarranted networking behavior must be identified proactively, before the intrusion escalates into a full-force security attack, data leak and service outages. Machine Learning algorithms help monitor your network’s behavior for anomalies in real-time such that proactive measures are automatically executed. As Machine Learning algorithms self-train, they will proactively unveil security-related insights and improve the state of cybersecurity within your organization.

Reduces operating costs

Customer support requires employment of a large number of customer support staff, expensive telephone and connectivity service, and a complex strategy to optimize speed and effectiveness of the support. With Machine Learning technologies such as chat-bots and automated customer response systems, the tasks of identifying customer problems and guiding them to the right information can be performed automatically at scale, at a lower cost, higher accuracy and most importantly, without having customers to wait in long queues for the support agents.

Financial analysis and fraud detection

Financial analysis and fraud detection involves a huge team of experts and their process is not only costly but also time-consuming. Machine Learning can help not only find, but also predict fraud in high volume transactions by applying cognitive computing technologies to raw data.

Chat with a Syndrome expert for a 30-minute strategy session at no cost

Discover the full value of your business and technology potential with a Syndrome expert consultation at no cost.

Contact us

Why Syndrome for Machine Learning?

]

Simplify the process

At Sydrome, we do not recommend implementing everything on the first go. We help you pick two algorithms that simplify your processes to begin with and wait for the results. Once you go through a few cycles of these, we then start adding to the complexity.

]

Maintain version control

Before you know it, your company will be using and experimenting with a lot of models and scripts. With different departments using multiple algorithms and scripts of their own, as an organization, it is easy to lose control over which model performed best. Our experts maintain a strict version control system to ensure you do not lose a good result.

]

Data acquisition

Machine Learning requires massive unbiased and good quality datasets. Using biased datasets will result in errors and most times they will go unnoticed. Our team of experts will help filter out the right datasets and may even suggest waiting for new data to be generated.

]

Time and resources

Our team gives you ample time and resources to enable your executives to learn the algorithms and fulfill their purposes with a considerable amount of accuracy and relevancy. We also provide massive resources and other additional requirements to meet their needs.

]

Interpretation of results

Our team will assist your company executives to accurately interpret the results generated and choose the right algorithms for their purpose. We also train them to spot errors early into the process and prevent any chain of errors.