Software Engineering Insights

Personalized marketing campaigns are proven to drive performance and better customer outcomes. A Mckinsey report says that customers expect businesses they buy from to recognize them as individuals and their interests. 

Businesses around the world spend billions of dollars every year on cloud infrastructure services, storage, and computing resources. They can gain an edge over each other with effective cloud infrastructure without any wasteful cloud spending. There are two rising approaches towards cloud cost optimization today that they can choose from; Capital Expenditure (CapEx) and Operational Expenditure (OpEx).

The healthcare systems market has witnessed a large-scale shift towards more patient-centered care models in the recent past. The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) is one of the most reliable ways to measure patient satisfaction which can help digital patient-facing and patient-monitoring doctors' apps meet leading market standards.

Personalized customer experiences are increasingly in demand. Brands must develop relationships with consumers and deliver experiences that go above and beyond and that is where Salesforce can help. To manage the whole customer journey, Salesforce Experience Cloud supports the development of interconnected and personalized digital experiences.

The rapid rise of Artificial Intelligence (AI) and Machine Learning (ML) technologies has led to the growing adoption of TensorFlow, an end-to-end ML platform. TensorFlow enables AI developers to accelerate ML tasks at every step of the workflow but also has certain shortcomings and understanding both sides is very essential to fully leverage this platform. 

An essential component of textual and verbal data is context and understanding the context requires some amount of sentiment analysis. To comprehend and categorize subjective feelings from communications data, Natural Language Processing (NLP) and Machine Learning (ML) methods have been used in the past. Sentiment analysis is frequently used in professional settings to comprehend customer evaluations, identify email spam, etc.

The domain of Artificial Learning (AI) known as Deep Learning (DL) is fast gaining acceptance as a go-to technology for a number of use cases. When it comes to use cases where image data makes up most of the input fed to a system, a DL technique known as semantic segmentation offers accurate implementation outcomes. 

More than ever, marketers realize the importance of tracking metrics to measure the performance of their campaigns. These values give an idea of how aligned the marketing efforts are with the business goals, be it customer experience, acquisition, lifetime value, or brand awareness. 

There are a variety of routes a customer may take to get to the service or product offered by your organization. As a customer embarks on this journey, a sales representative has the task of finding instances to interact with them and find insights about their likes and preferences. An effective customer journey map can give you these insights promptly to forecast your customer's path to your organization.

Custom user services are at the core of the success stories of a majority of internet companies like Netflix, Facebook, and Amazon today. This is why online platforms vying to stay at the pinnacle of their respective sectors need to build effective recommendation systems or recommendation engines.