ARTIFICIAL INTELLIGENCE

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Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction. Particular applications of AI include expert systems, speech recognition and machine vision.AI can be categorized as either weak or strong. Weak AI, also known as narrow AI, is an AI system that is designed and trained for a particular task. Virtual personal assistants, such as Apple’s Siri, are a form of weak AI. Strong AI, also known as artificial general intelligence, is an AI system with generalized human cognitive abilities. When presented with an unfamiliar task, a strong AI system is able to find a solution without human intervention.

How is AI Used?

Artificial intelligence generally false under two broad categories: 

• Narrow AI: Sometimes referred to as “Weak AI,” this kind of artificial intelligence operates within a limited context and is a simulation of human intelligence. Narrow AI is often focused on performing a single task extremely well and while these machines may seem intelligent, they are operating under far more constraints and limitations than even the most basic human intelligence. 
• Artificial General Intelligence (AGI): AGI, sometimes referred to as “Strong AI,” is the kind of artificial intelligence we see in the movies, like the robots from Westworld or Data from Star Trek: The Next Generation. AGI is a machine with general intelligence and, much like a human being, it can apply that intelligence to solve any problem. 

Applications of Artificial Intelligence

1. AI in Astronomy

• Artificial Intelligence can be very useful to solve complex universe problems. AI technology can be helpful for understanding the universe such as how it works, origin, etc.

2. AI in Healthcare

• In the last, five to ten years, AI becoming more advantageous for the healthcare industry and going to have a significant impact on this industry.
• Healthcare Industries are applying AI to make a better and faster diagnosis than humans. AI can help doctors with diagnoses and can inform when patients are worsening so that medical help can reach to the patient before hospitalization.

3. AI in Gaming

• AI can be used for gaming purpose. The AI machines can play strategic games like chess, where the machine needs to think of a large number of possible places.

4. AI in Finance

• AI and finance industries are the best matches for each other. The finance industry is implementing automation, chatbot, adaptive intelligence, algorithm trading, and machine learning into financial processes.

5. AI in Data Security

• The security of data is crucial for every company and cyber-attacks are growing very rapidly in the digital world. AI can be used to make your data more safe and secure. Some examples such as AEG bot, AI2 Platform,are used to determine software bug and cyber-attacks in a better way.

6. AI in Social Media

• Social Media sites such as Facebook, Twitter, and Snapchat contain billions of user profiles, which need to be stored and managed in a very efficient way. AI can organize and manage massive amounts of data. AI can analyze lots of data to identify the latest trends, hashtag, and requirement of different users.

7. AI in Travel &Transport

• AI is becoming highly demanding for travel industries. AI is capable of doing various travel related works such as from making travel arrangement to suggesting the hotels, flights, and best routes to the customers. Travel industries are using AI-powered chatbots which can make human-like interaction with customers for better and fast response.

8. AI in Automotive Industry

• Some Automotive industries are using AI to provide virtual assistant to their user for better performance. Such as Tesla has introduced TeslaBot, an intelligent virtual assistant.
• Various Industries are currently working for developing self-driven cars which can make your journey more safe and secure.

9. AI in Robotics:

• Artificial Intelligence has a remarkable role in Robotics. Usually, general robots are programmed such that they can perform some repetitive task, but with the help of AI, we can create intelligent robots which can perform tasks with their own experiences without pre-programmed.
• Humanoid Robots are best examples for AI in robotics, recently the intelligent Humanoid robot named as Erica and Sophia has been developed which can talk and behave like humans.

10. AI in Entertainment

• We are currently using some AI based applications in our daily life with some entertainment services such as Netflix or Amazon. With the help of ML/AI algorithms, these services show the recommendations for programs or shows.

11. AI in Agriculture

• Agriculture is an area which requires various resources, labor, money, and time for best result. Now a day’s agriculture is becoming digital, and AI is emerging in this field. Agriculture is applying AI as agriculture robotics, solid and crop monitoring, predictive analysis. AI in agriculture can be very helpful for farmers.

12. AI in E-commerce

• AI is providing a competitive edge to the e-commerce industry, and it is becoming more demanding in the e-commerce business. AI is helping shoppers to discover associated products with recommended size, color, or even brand.

13. AI in education:

• AI can automate grading so that the tutor can have more time to teach. AI chatbot can communicate with students as a teaching assistant.
• AI in the future can be work as a personal virtual tutor for students, which will be accessible easily at any time and any place.

5 Ways Artificial Intelligence Can Be Used in Marketing

1. Take Sales Forecasting to the Next Level

AI takes conversion management solutions to the next level. Marketers can now compare sophisticated inbound communication side-by-side against traditional metrics to help answer difficult strategy questions. With AI marketing, there are no longer questions about whether or not a prospect is ready for a discussion, the data provides the answer.

2. Gain a Deeper Understanding of Your Consumers

With AI solutions, marketers know exactly what consumers are thinking, saying, and feeling about the brand in real time. Similarly, with the onslaught of social media available (and the AI to analyze it), marketers can truly understand what customers are feeling. Savvy

marketers can harness this data in real-time and then quickly modify messaging or branding for maximum effectiveness.

3. Optimize Digital Advertising Campaigns

While there are various ways to optimize digital advertising and account-based marketing, AI solutions help marketers take them a step further for deeper insight and analysis. AI can tap into the abundance of consumer data hidden in keyword searches, social profiles, and other online data, for smarter and more effective digital ads.

4. Create Detailed Consumer Profiles

This abundance of data can also help feed consumer profiles. AI solutions provide marketers with deeper knowledge of consumers and prospective clients, enabling them to deliver the right message, to the right person, at the right time. The secret to building a truly comprehensive profile lies in capturing data during every single consumer interaction. Marketers can use AI solutions to take these profiles a step further, refine marketing campaigns, and create highly personalized content.

5. Join Real-Time Conversations with Consumers

One of the advanced capabilities of AI is its ability to analyze large blocks of open content and identify trends. This allows brands to interact directly with consumers in real time through online conversations or events. Communicating with consumers at the precise ‘decision-making moment’ can help directly influence buying decisions. AI helps marketers monitor these social conversations and other open forums to identify any relevant conversations.

The Evolution of AI

IFM is just one of countless AI innovators in a field that’s hotter than ever and getting more so all the time. Here’s a good indicator: Of the 9,100 patents received by IBM inventors in 2018, 1,600 (or nearly 18 percent) were AI-related. Here’s another: Tesla founder and tech titan Elon Musk recently donated $10 million to fund ongoing research at the non-profit research company OpenAI — a mere drop in the proverbial bucket if his $1 billion co-pledge in 2015 is any indication. And in 2017, Russian president Vladimir Putin told school children that “Whoever becomes the leader in this sphere [AI] will become the ruler of the world.” He then tossed his head back and laughed maniacally.

OK, that last thing is false. This, however, is not: After more than seven decades marked by hoopla and sporadic dormancy during a multi-wave evolutionary period that began with so-called “knowledge engineering,” progressed to model- and algorithm-based machine learning and is increasingly focused on perception, reasoning and generalization, AI has re-taken center stage as never before. And it won’t cede the spotlight anytime soon.

Google CEO Sundar Pichai On Stage in 2018. Google is working on an AI Assistant that can place human-like calls to make appointments. | Photo Credit: Alive Coverage

The Future Is Now: AI’s Impact Is Everywhere

There’s virtually no major industry modern AI — more specifically, “narrow AI,” which performs objective functions using data-trained models and often falls into the categories of deep learning or machine learning — hasn’t already affected. That’s especially true in the past few years, as data collection and analysis has ramped up considerably thanks to robust IoT connectivity, the proliferation of connected devices and ever-speedier computer processing.

Some sectors are at the start of their AI journey, others are veteran travelers.