hitechtectar : News, Information, & Analysis for Business Technology Experts

Machine learning: Machine learning is a subset of AI that focuses on the design of a system. It can learn and make decisions or predictions based on the experience which is data in case of machines. It enables a computer to act and make data-driven decisions rather than being explicitly programmed to carry out a specific task. These programs are designed to learn and improve over time when exposed to new data. For example, while shopping online and checking for a product, you must have come across or would have noticed a line saying “the people who bought this, also bought…” giving you recommendations. Moreover, have you ever noticed that it also suggests for a product similar to what you’re looking for? How are they able to do this? The answer is Machine Learning. Deep learning: Deep learning is a subset or an exciting branch of machine learning (ML) which uses similar ML algorithms and uses lots of data to educate deep neural networks so, as to attain better accuracy. De...

B usiness to consumer or B2C refers to a commerce transaction between a business and an individual consumer. Traditionally, this term is used to describe a process of selling products directly to consumers but now mostly is being used to describe the transaction between e-commerce (online retailers) and consumers. Due to which consumer business is getting affected in an optimistic way with new technologies being introduced in the market. There is no doubt that technology has altered the way companies conduct businesses. Furthermore, it not only helps in improving communication but also in increasing productivity and understanding customer behaviour. https://www.hitechnectar.com/blogs/tech-affecting-consumer-business/ Tech advances that are affecting Consumer business We are living in an era of futuristic technologies. However, there’s a big misconception that B2C businesses cannot be helped with tech advances. In this section, we’ll explore how tech advances will impact con...

AI has been dominating the market and news lately. AI has already been adopted by various companies and industries and has transformed the way the organizations’ function. The popularity has been increasing ever since. Product developers are now able to create products and services which until now were not within reach of the average marketing budget. But before plunging into the decision to implement AI, it is necessary to understand the differences between data analytics and AI machine learning. It is necessary to know which the best solution for your organization is. Data Analytics Data analytics includes processing of datasets on certain defined parameters to draw conclusions about required information. It empowers the decision makers by providing all the information they require at their finger-tips. This includes newsletter conversation rates, tracking of user behavior on apps and websites, click-through rates of online advertising, and much more. Read More:  https://...

If you read the title and reached here to understand if your job might be in jeopardy soon, welcome to the club! Yes, we are going to discuss how artificial intelligence is going to affect our workforce, but it is definitely wrong to claim  AI to wipe out entire job sections . In a recently concluded one-day conference on Artificial Intelligence, ML and its various applications in the work environment, data was polled from employment services about the nature of jobs, the tasks involved in them and which tasks can be performed better by AI, and it was concluded that there are certain applications in which Artificial Intelligence can perform better than humans while there are others which humans excel at in-comparison to AIs. So the million dollar question, what human applications are going to be  AI applications ? Artificial Intelligence (AI) v/s Humans, Who Is Better? In the aforementioned study, one very interesting fact came to light. Most tasks in which it was bein...

IoT Internet of Things (IoT)  is an integrated networking system of physical things, represented digitally through devices that can be controlled from anywhere. The connectivity and hence the IoT has numerous possibilities. According to some experts, the IoT will embody almost 50 billion objects by 2020. “From gathering new data to automation of infrastructure, companies are finding many benefits from adding connectivity and intelligence to physical infrastructure,” reported CompTIA study. The ‘things’ get connected to your devices through sensors, actuators and software to enable services based on information and data. This technology has led to a large number of business and innovation opportunities that is affecting our day to day life, on a positive note. Mentioned below are the top 10 trending area for the Internet of Things. 1.First  and foremost,  Security The more use of digital technology, the more is the requirement of Security. With the embedded pro...