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We now know how data science works, at least in the tech industry. First, data scientists lay a solid data foundation in order to perform robust analytics. Then they use online experiments, among other methods, to achieve sustainable growth. Finally, they build machine learning pipelines and personalized data products to better understand their business and […]

This use case takes HR data and uses machine learning models to predict what employees will be more likely to leave given some attributes. Such model would help an organization predict employee attrition and define a strategy to reduce such costly problem.Most of the work we do in the field of people analytics is oriented […]

The data scientists at BigMart have collected sales data for products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store.Using this model, BigMart will try to understand […]

Customer segmentation has the potential to allow marketers to address each customer in the most effective way. Using a large amount of data available on customers (and potential customers), a customer segmentation analysis allows marketers to identify discrete groups of customers with a high degree of accuracy based on demographic, behavioral, and other indicators.Usecases for […]

Conversion tracking is a core element in measuring the success of your ads. that lets you identify how well your ad campaign is generating leads, sales, downloads, email sign-ups, and other key actions for your business. The data recorded by conversion tracking allows you to identify which areas of your campaign are working and not […]

Online transactions entail the transfer and storage of delicate data (financial information, authentication information, passwords, etc), and the ill-usage of this data leads to a host of frauds, credit card fraud being one of the major threats. Online Shopping is a fast-growing trend. Mode of payments involving Credit Card, Debit Card and Net Banking is […]

There are many processes in the enterprise that are much more efficient when done using machine learning. These include analyses such as risk assessments, demand forecasting, customer churn prediction, and others. These processes require a lot of time (possibly months) to do manually, but the insights gained are crucial for business intelligence. But if it […]

This consumer-based use for machine learning applies mostly to smartphones and smart home devices. The voice assistants on these devices use machine learning to understand what you say and craft a response. The machine learning models behind voice assistants were trained on human languages and variations in the human voice because it has to translate […]

Machine learning uses algorithms to build a model based on data in order to make predictions or decisions that don’t involve human intervention and programming. These algorithms are used in a variety of applications where conventional algorithms are not enough to perform the needed tasks.Machine learning can be approached in 3 different ways:Supervised learning – […]

Machine learning can analyze millions of posts on Facebook, Twitter, Instagram, read comments, and personal updates. Businesses keep up with customer feedback, track their brand health, and improve their reputation.Machine learning allows systems not only to recognize words but understand the context behind them. For instance, “orange” can be used to describe a color or […]

Much of today’s marketing initiatives are carried out online through a variety of digital platforms and software applications. As companies gather data about customers and their purchasing habits, marketing teams can use that information to create a complex picture of their target audience and identify which people are more likely to seek out their products […]

Avoiding mistakes and misunderstandings is important in any kind of communication, but especially so for today’s businesses. Whether it’s email correspondence, customer reviews, video conferencing, or text-based documents in all their varied forms, simple grammatical errors, inappropriate tone, or inaccurate translations can cause a variety of problems. Machine learning programs have taken communication far beyond […]

Managing the growing number of online customer interactions has pushed many organizations to the breaking point. They simply don’t have the customer support staff on-hand to deal with the number of inquiries they’re receiving and the old solution of outsourcing issues to a call center is simply unacceptable for many of today’s customers. Advances in […]

Machine learning in healthcare is becoming more widely used and is helping patients and clinicians in many different ways. The most common healthcare use cases for machine learning are automating medical billing, clinical decision support, and the development of clinical care guidelines. There are many notable examples of machine learning and healthcare concepts being applied […]

Machine learning in finance is rapidly developing – there are already dozens of options for its use in the financial sector. So why does the industry use AI for finance?Credit Solvency AssessmentArtificial Intelligence helps banks more confidently issue credit to those who pass system checks. For this, programs and algorithms analyze all available information about […]

Every software program your business uses is likely filled to the brim with data, ripe and ready to be analyzed to unleash actionable insights. When it comes to finding ways to improve your selling processes and customer relationships, your customer relationship management (CRM) software will provide all the information you should need.How CRM analytics can […]

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