All about rage, it’s all about rage to vogue!!!
Vogue of a fascinating buzz Artificial Intelligence, a powerful technique, when blending with machine learning, augments the business decision-making process and provides a massive upgrade.
“Artificial intelligence and machine learning, as a dominant discipline within AI, is an amazing tool. In and of itself, it’s not good or bad. It’s not a magic solution. It isn’t the core of the problems in the world.” — Vivienne Ming
Artificial Intelligence is all the rage from self-driving cars and Siri & Alexa (personal assistants) to ML chatbots and scheduling email accomplices that will pick up regular duties out of human controls, but can AI replace humans? The answer is “Probably not”, it’s not as simple as it appears to be!
In this quick tutorial, we will discuss the top five myths about Artificial Intelligence that newbies possess and also split the truth from fiction.
So, let’s begin!!!!!
Put simply, Artificial Intelligence(AI) is the potential of a machine or computer device to imitate human intelligence (cognitive process), learn from experiences, tailor to the recent information, and regulate humans-like-activities.
In addition to that, AI conducts tasks intelligently that capitulates in producing massive efficiency, adaptability, and productivity for the complete system. It has a crucial flood of numerous applications incorporating NLP, healthcare, automotive, videos and gaming, speech recognition, finance and banking, digital marketing, computer vision, etc.
But since no buzzing technology flourishes with rumors that especially wrapped up newbies perception about the technology, so as with our today’s trends the “Artificial Intelligence” (You may find here how AI has changed our daily lives). The coming section describes those common misconceptions.
Have you listened to “AI will automate entirety and remove people out of work”, “AI is totally a science-fiction based technology”, or “Robots will command the world”?
This promotion around artificial intelligence has created several myths mainly in mainstream media (referring you to read the role of AI in media), board meetings, and over multiple organizations.
Where some people are worried about AI that will control the world, and few also are thinking that AI is nothing than a buzzword, and the truth lies somewhere in between.
“It is imperative that one should understand how AI could add value to various businesses and where it cannot”.
It’s obvious to be misguided by the famous myths and misconceptions about the augmented technology. Below are a few myths about AI you must know in order to make better decisions about where to devote time and resources.
Have you watched the movie “Terminator” in which machines were going to eradicate the complete human race, many similar movies are also there. On a similar note, people think one day another application of AI will remove the necessity of the human workforce across all the industries, this is nothing more than a hallucination.
It is certainly true that the advent of AI and automation has the caliber to interrupt labor vigorously, even though in many conditions it is doing so, but this fact can be accounted straightforward as the transfer of labor(human) to machines is an ample understatement.
Undoubtedly, AI has the power to acquire and generate more accurate outcomes than humans, but correspondingly AI requires humans to get relevant data in order to function better. So, up to what extent technology will go and delusions spark up, jobs and humans remain consistent.
As we are talking about human and AI, have a glance at Human Augmentation.
Totally a misconception, brought in mind when AI is interpreted on a linear scale such as on a scale of one to ten human score the higher end, animal at the lower end, and the super-smart machines at the topmost of the scale.
Now come out from this myth to reality, nothing like that.
“Artificial intelligence would be the ultimate version of Google. The ultimate search engine would understand everything on the web. It would understand exactly what you wanted, and it would give you the right thing. We're nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.” —Larry Page
You might get amazed, actually, intelligence is calculated in several dimensions, even some features like calculation speed or memorizing capacity of computers are out of our reach. But other features like productive strength, emotional intelligence, and thinking approach are still somewhere in reach and aren’t acceptable to be soon, anytime.
Common myths about Artificial Intelligence
Now the other fallacy newbies have is that implementation of AI is money demanding for delivery desired outcomes, even though not only that, it also demands data scientists, machine learning experts, data engineers along with huge investment.
Some AI applications do need data scientists or computer programing experts for building sophisticated techniques only at one end of the technology spectrum that obviously also require money but not at large scale and produce results to add value to businesses.
Due to the growing number of accessible business tools and software, many organizations opt for these AI business applications where no such experts required.
Are you thinking like you would feed AI with some random, unstructured data and AI will find an automated solution, you probably met the wrong thought?
Worthwhile, there is a need for accurate and appropriate data for AI to process and analyze it that can yield desirable results.
Moreover, AI experts keep operating data iteration and monitoring constantly on the learning process of AI in order to make the best algorithm out of rest in terms of best-suitable for the business need.
With the engagement of AI, now computers are controlling all the tasks that lead to eliminating the biases from the system as if only simple up to that mark.
Due to the human input required for the AI, it would be intrinsically biased, more specifically, to assure diversity amid the teams working with AI and the team members analyzing the work of each other, and combining these two steps together can essentially decrease selection and confirmation bias.
For instance, in one case study, ProPublica found a program (AI algorithm) that incorrectly rated whites accused as low-risk regularly as compared to black accused, that’s wrong and completely biased.
At certain points, instead of considering fishy myths, one should believe in the strength of AI that aids in transforming improved decision making. Each company usually encounters the intercepting and dealing with essence customer service while examining the newest strategies to augment efficiency and potency to the business.
“Some people worry that artificial intelligence will make us feel inferior, but then, anybody in his right mind should have an inferiority complex every time he looks at a flower.” —Alan Kay
In the digital era that is equipped with advanced technology, we are already working with such technology under the shed of Artificial Intelligence. For more learning and to become a pro, stay tuned with AI that transfers augmentation to the next level.
Reliance Jio and JioMart: Marketing Strategy, SWOT Analysis, and Working EcosystemREAD MORE
What is the OpenAI GPT-3?READ MORE
Introduction to Time Series Analysis: Time-Series Forecasting Machine learning Methods & ModelsREAD MORE
6 Major Branches of Artificial Intelligence (AI)READ MORE
Top 10 Big Data Technologies in 2020READ MORE
7 types of regression techniques you should know in Machine LearningREAD MORE
How is Artificial Intelligence (AI) Making TikTok Tick?READ MORE
7 Types of Activation Functions in Neural NetworkREAD MORE
8 Most Popular Business Analysis Techniques used by Business AnalystREAD MORE
Introduction to Logistic Regression - Sigmoid Function, Code ExplanationREAD MORE