Machine Learning – An Overview

Machine Learning

Machine learning is a type of artificial intelligence that permits software implementation to become more flawless in forecasting outcomes without being direct programmed. The processes elaborate in machine learning are alike to that of data mining and predictive modeling. It is focuses on expanding computer programs that can access data, examine it and use it to learn.

The amazing growth in implementation of machine learning will define the technological trend of 2017. Their results will depend on the application adds value and benefits to society and whether it has the capacity to solve real world issues. Here are the five major trends that will define machine learning in 2017.

1. Machine learning in finance
2. Autonomous Driving
3. Space Exploration
4. Healthcare and Medicine
5. Humanitarian aid

Applied Machine Learning is challenging because the scheming of a perfect learning system for a given problem is intractable. The use of machine learning is best example for search problem for the best calculating of inputs to outputs given the understanding and methods available to you for a given project. It pilot our algorithms for demand predicting, product search ranking, product and deals guidance, fraud detection, translations and much more.

Machine learning decreases marketing expenditure because it requires very few people to be involved. It is also extremely cuts interaction costs, as a majority of customers can be kept updated on automatic emails, scheduling social-media posts and online ads or other content. Machine learning’s accuracy informs production and distribution for offline materials, too. This allows marketers to precise the right quantity and uses the most effective channels, decreases excessive costs related to overproduction.

From few years Machine learning has been quietly working on powering mobile applications and search engines. But last few days ago, it has become a more widely spread buzzword, with virtually all recent technological promotion including some aspect of machine learning. A magnificent grown in data and computing capabilities has made this exponential advancement possible.

Ways to Collect Customer Feedback Using Social Media

Social Media

Good and creative ideas are difficult to come out by these days. What may look like a best idea to us for a new business, product or service, might seem unprofitable to our audience. That’s why we need to test out our ideas and gather feedback about customer before we start realizing them. Customer feedback is our key success to finding and solving customer issues. There are a lot of different ways to collect customer feedback, and surveys are usually the first method that comes to our mind.

But to figure out what your customers are saying about our product only surveys are not correct way. In fact, maybe we could miss out on valuable customer feedback coming through a different channel like social media.

The best place to start your research is Social media platform. Because social media is the most popular and most populated online channels today. We just have to locate a network our target audience and we’re ready to begin. Here are a few ways that can use social media to gather customer feedback.

Locate your target audience

If we want to collect correct data on your ideas, we have to ask our audience for feedback. A great thing about social media is that it helps to identify our target audience with ease and even provides us with an insight into their demographics. That way, we’ll also be able to identify how to approach them best and gather necessary feedback.

Social Media Listening

Observe mentions of our brand and our competitors. If our brand name is discussed on social media, we can give instant customer feedback to people having issues with our product or service. We can learn how to differentiate our self from competitors; in the best circumstances, we can support them as a lead and turn them into your new favourite customer.

Getting feedback on your products

Whenever a company is about to release a new product or service, there’s always a growing concern that the customers may not like it. Even if we know our audience well, there’s still a chance that your newest product may not resound well with them. Our customers won’t hesitate to tell us exactly what they don’t like about the product. However, if we’re willing to make adjustments and improvements, our audience will know that we value their opinions and that we’re willing to make an effort to make them happy. Through social media conversations, we’ll be able to recognize exact issues your customers have with our product and fix them before we launch the new product on the market.

Facebook Groups

Last few days ago, Facebook added a new feature called “Groups for Pages” which will allow all brands and businesses to invent their own “fan clubs” and it will help to connect their loyal supporters without leaving their Facebook page. These groups will allow ongoing real-time communication between users in the group and the group’s admins.

Mobile Shopping Improving the Consumer Journey

Mobile Shopping Improving the Consumer Journey

Mobile advertising is growing speedily. An ongoing Customer Journey only a fraction of purchases really takes place through smartphone. More and more brands are taking mobile ecommerce, offering mobile applications and mobile-optimised sites to their customers. But mobile shopping sites and apps are increased in popularity; customer expectations are rising extremely with it, so brands need to be doing more to keep pace.

The key finding: online surfers use smart mobile phones primarily as information sources. If a mobile purchase does actually occur then it proceeds very quickly. As customers’ expectations of mobile ecommerce increases, now a days businesses understand that the customer experience is no longer just about the number of sales, site clicks or social media mentions. Alternatively, they need to know what causes of customers to behave the way they do – what types of customer behaviour exist, how different types of problem impact their behaviour and how this can help ebusinesses to improve their overall online customer experience.

Conversions take place on the desktop is 83% and traffic share is only 70%. Regardless all efforts by e-commerce businesses to improve usability is only 9% of sales obtained through smartphones although they account for 21% of all traffic in the web shops determined. In many cases it was apparent that users only wanted to get information about product quickly without having a definite wish to buy the product. Success in providing that uncommon experience for mobile shoppers involves making it as simple as possible.

That means very small effort on the customer part to get to what they want and complete their purchases. That also means a lot of work for retailers who have not compulsory made these changes to provide such an incredible mobile experiences for their customer.