AI - RuhaniRabin.com

Are Chatbot Apps Key to a Social Success?

A chatbot is essentially a program that is designed/built to engage with website users/buyers/visitors. They work by responding to messages and queries in real-time by providing appropriate answers from a pre-designed catalog of solutions.

They are built to respond differently to different kinds of messages by recognizing certain keywords. Chatbots use Artificial Intelligence or AI to better understand a user’s language so they can adapt accordingly to different kinds of queries and provide the most relevant response.

Chatbots leverage mediums like a website chat window, SMS text, and social messaging platforms to respond.

How Machine Learning and AI Will Change SEO?

It’s no secret that many people are afraid that AI and machine learning technologies will take over many jobs soon. Does the same threat apply to digital marketers and SEO specialists?

On the one hand, various SEO tools incorporate machine learning and AI-based technologies allowing marketers an easier time to analyze various metrics and implement SEO optimizations. On the other hand, there’s also the looming threat that these AI technologies might replace human SEO specialists in the future.

At the moment, however, these AI-based solutions are not yet at the level to replace SEO specialists and aren’t so effective in performing technical tasks. Here, we will discuss our predictions on how machine learning and AI can change SEO strategy in 2020 and onwards.

How the Growth of AI changes Customer Support Experience in 2020

AI is rapidly transforming the way companies interact with their prospects and customers. An exclusive MIT Technology Review Insights’ survey of over 1000 business leaders, “The global AI agenda,” noted that customer success and service is the area where AI deployment is highly active. By 2022,73% of respondents said it will remain the leading area of AI use in companies.

Artificial intelligence has become a reality that is impacting the world on a daily basis and the most effective ways to harness AI is through customer service and support– the fast 24/7 functionality of AI to solve customer queries any time of the day.

AI is hugely impacting every business and transforming business processes from data collection to customer onboarding and retention. It saves time, cost, and is highly meaningful in terms of returns to the customer and client.

Customer service is the root of any digital transformation and with AI in it, one can improve everyday experiences for customers. Gartner once declared that 89% of businesses will compete only on customer experience on a battlefield.

This can be impacted heavily if AI and machine learning make an entry. But let’s see three important features of AI in customer service.

How AI Can Be Beneficial for Data Analysis

As we evolve with the world, modern technology is evolving with us. We’ve witnessed many technological and industrial revolutions, as well as the rise of the internet, AI, natural language processing, and machine learning.

AI has become one of the essential tech tools that businesses use to gather and analyze huge chunks of data in mere seconds. He who holds the key to unlocking the potential that lies in data analysis has the power to not only beat the competition and grow their business but dictate new standards and trends.

The internet is loaded with data, and businesses are doing everything within their power to gather, analyze, and manage that data to their advantage. That’s how the idea of harnessing the power of big data has come to be. Everything related to deep learning, AI, data analysis, the Internet of Things, and so on, is considered as Data Science.

Data analysis helps businesses in many different ways. It provides the most advanced technologies and tools that allow companies to automate complicated and mundane business tasks, workflows, and processes that include presenting, analyzing, and extracting raw data.

Since the entire business success of one organization depends on their ability to gather, analyze and manage data to stay relevant and competitive, we’re going to go through how artificial intelligence for data analysis can benefit a business.

AI & Social Media – How Ads are Getting Smarter & Why Businesses Should as Well

Did you know that people love following the brands they appreciate on social media?

Platforms like Facebook, Instagram, Twitter, and others manage to create an authentic interaction between customers and businesses. People love to get to know the team working behind their favorite products or services. On the other hand, businesses have a fantastic environment that encourages open communication and connection.

But businesses also know that social media platforms gather important data from their users. In addition, due to the fast development of tools based on smart technologies such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) businesses now have a new way of doing digital marketing. This way also calls for different marketing specializations, that include the technical aspect (which we’ll discuss later in the article).

It may sound new, but AI (which includes ML and NLP) is not exactly a new technology. In fact, most of us use it on a daily basis in devices like smartphones, smart speakers, tablets, GPS navigators, and more. In short, our modern devices use AI algorithms to observe, learn, and understand human behavior.

The best example of AI-powered software comes from our favorite voice assistants (Siri, Alexa, or Google Now). These tools can understand natural language (for the most part), recognize voices, and provide reliable answers to our queries. They do this by storing and analyzing the data and applying the results to improve themselves.

In addition, big platforms like Amazon, Google, Netflix, and others use AI to provide their users with a highly-customized experience (personalized product recommendations). We also see AI-algorithms working hard to correct our writing (in tools like Grammarly) or even send automatic emails (like Gmail).