#rtificial Intelligence

[engajerai]

Introducing James, the most innovative AI system at Engajer that supports AI-driven Applications of the next generation. James is an AI-based personal assistant, and it uses the latest NLP technology to meet your requirements and offer valuable information. Sign up to enjoy intuitive friendly sessions based on the principles of the future of Artificial Intelligence.

Visit here for more information: https://ai.engajer.com/continue

[yudizsolution01]

https://www.yudiz.com/artificial-intelligence/

In the realm of AI/ML project , Yudiz is best Artificial Intelligence Development Company with most sophisticated algorithms. Contact us now. We are experts in developing custom ai based solutions, chatbot development, machine learning solutions, ai development services and many more. We have 14 years of experience with more than 100+ AI developers hire now.

[youtubemarketing1234]

Nowadays artificial intelligence is used in different job sectors. This technology is used increasingly day by day. So the future of our jobs sector can be harmful because of AI. Artificial intelligence (AI) is a wide-ranging technology that can disrupt and transform a host of industries, potentially leading to a large-scale shift in how humans think of work.

Many other types of positions may be partially or even fully replaceable by machines. Any job that performs tasks that are learnable and replicable may be in the crosshairs. You can see some industries that will continue to rely on human workers include writing jobs, social work, criminal defense law, teaching, and AI training engineers.

AI will be able to automate the process of data analysis, which could reduce the need for manual entry and processing, optimize shipping and delivery routes, automate manufacturing and assembly lines, computerize many human accounting tasks, and assist with legal research and analysis.

This new dawn of automation can be both an exciting and daunting prospect for many workers. While it certainly presents challenges to some people, we should keep in mind that AI will open up new opportunities for other sectors to expand their potential. It may also help reduce human labor spending and allow employees to embark on tasks with better prospects for them personally.

Artificial intelligence is becoming more relevant to our daily lives. While it might seem to be looming and ready to replace us, this is not necessarily true. AI will have an impact on our workforce. This is inarguable.

Another essential thing to comprehend is that humans created Artificial Intelligence to help with challenging tasks and problems and not to replace them in the workplace entirely. Humans and AI work best when a person defines the program’s scope to AI, allowing it to make the best decision for the outcome.

The Truth about AI: Will Artificial Intelligence Take Over Our Jobs?

[monkeydluffy2805]

The Transformational Power of AI in Talent Acquisition: A Competitive Edge for Modern Businesses

rtificial Intelligence is revolutionising the field of talent acquisition, transitioning it from a reactive, time-consuming process to a strategic function that drives long-term business success. AI-powered tools now enable hiring teams to rapidly process vast amounts of data and make predictive decisions with remarkable speed and accuracy. However, this transformation also brings both opportunities and responsibilities for organisations to leverage AI in a balanced and ethical manner.

www.cifdaq.com

[anshika3012]

The Expansive Career Scope after Graduating in Artificial Intelligence

rtificial Intelligence (AI) is not just a buzzword; it is transforming industries, economies, and everyday life. From virtual assistants like Siri and Alexa to AI-driven healthcare diagnostics, the applications of AI are endless. If you’re considering pursuing a graduation in artificial intelligence, you’re setting yourself up for an exciting, dynamic career. But what exactly can you do with an AI degree? The answer is—almost anything! 

In this blog, we’ll explore the vast career opportunities available to AI graduates, how AI is reshaping industries, and why Graduvation, the best online learning and teaching platform, is the perfect place to launch your AI journey.

Career Opportunities in Artificial Intelligence

A degree in AI opens doors to a variety of career paths, from technical roles to leadership positions. Here are some of the top career opportunities for AI graduates:

Machine Learning Engineer: One of the most popular roles for AI graduates, machine learning engineers create algorithms that allow machines to learn from data and make decisions. As a machine learning engineer............ To read more, visit Graduvation.

[pusula001]

"Pusulaint AI Solutions for a Smarter Future”

rtificial intelligence not only has huge potential but is also necessary for helping to tackle difficult and important challenges. The manner in which ‘ARTIFICIAL INTELLIGENCE’ is developed and utilized will have enormous repercussions for the global society as a whole and humans in general. 

Pusula International can help you create a more intelligent design for your AI product by utilizing its state-of-the-art technologies. We can help develop your ideas regardless of where you are in your journey with AI, WE CAN HELP. Our company evaluates, analyzes and develops your AI ideas.  #ai #aisolutions #futureishere #future #developer

---

[shrikkantt]

Investment Opportunity: BPAYNET - Innovation Beyond Imagination!

Investment Opportunity: BPAYNET – Innovation Beyond Imagination!

  Training8m Corporate Technologies Limited

5, Lawson Street,

Southport, Queensland – 4215 Australia

  Hi,

  We have a unique and an awesome Investment Opportunity for our Australian Company startups in Digital Bill Payment Technology, International Money Transfers, and Blockchain Payment Systems, Cross Border Payments, Cryptocurrency, Integrated Global Stock and Commodity Exchanges, Integrated…

[our-artificialintelligence]

At the cutting edge of this inquiry, is Studio Bitonti, set to reveal another arm of their organization, Bitonti Technology, Fall 2017. The organization has been on the main edge of the 3D printer insurgency since 2007 when they made one of the initial 3D printed dresses, a staggering dark number made for big name symbol Artificial Intelligence. What made this dress stand separated from other 3D mold endeavors at the time, was "the utilization of computational models to make materials that altered to the models body shape," instead of just working with static outline pieces

[amishad623]

The global Artificial Intelligence In Healthcare market gathered revenue around USD 6.1 Billion in 2020 and market is set to grow USD 115.9 Billion by the end of 2027 and is estimated to expand at a modest CAGR of 42.0% during the prediction period 2021 to 2027.

[foultaledeer]

Artificial Intelligence, at its most basic level, is a collection of technologies capable of doing activities that need human intelligence. These technologies can learn, act, and perform with human-like levels of intelligence when applied to common commercial operations.

[tecnologianaagricultura]

artificial intelligence technology in agricultural machinery

rtificial Intelligence in agriculture is a topic of great relevance amid the wave of technological advances that are bringing more efficiency to the field. In agro, AI has been incorporated into agricultural operations to manipulate data, generate estimates or even perform image recognition.

What is Artificial Intelligence? Artificial Intelligence (AI) is a broad area, which is not limited to agriculture 4.0. To explain the concept, Syngenta Digital Data Scientist Marcelo Borghetti uses the example of autonomous cars that, according to him, need to travel different roads with little interaction with humans or other systems, in addition to dealing with the variability of environments. Therefore, autonomy and the ability to deal with variables are characteristics of these intelligent systems.

inteligência Artificial e agricultura

Esses atributos — autonomia, aprendizado, variabilidade — fazem da IA uma grande aliada do produtor rural, que precisa lidar com uma grande quantidade de dados de extrema complexidade todos os dias. De acordo com Borghetti, “a IA e o Machine Learning conseguem filtrar esses dados e estabelecer relações que são relevantes”, apresentando a melhor conclusão para o grower.  

Segundo Borghetti, os dados podem ainda alimentar uma ferramenta de automatização. Assim, o produtor pode acessar e analisar informações de forma integrada, o que contribui com seu processo decisório.

[diyunho]

The Joker x Reader - “A.N.N.I.E.”

A.N.N.I.E. (Artificial Non-Neurological Intelligent Entity) is an outdated android model that emerged on the market two years ago. The Joker purchased her as a toy for his son not knowing she will become the recipient of desperate attempts to keep Y/N with him. After the woman’s unexpected death, experiments meant to transfer her conscience inside Annie failed yet The King of Gotham couldn’t part with the only thing that reminded him of someone he actually cared about.

“Can you fix her?” The Joker asks the two programmers that have been assessing the android for the past 15 minutes.

“Hard to tell sir, but we are trying to determine what triggered the malfunction,” Zariah points at the 4 laptop screens simultaneously running diagnostics. “Recently there’s been a spike in flaws regarding A.N.N.I.E. models; after all they were released 2 years ago. I would recommend acquiring the most current technology…”

“No need to!” J bitterly cuts him off. “Just fix her!”

“We will do our best, sir!” Mickel reassures The King of Gotham: his wretched temper might interfere with today’s agenda and the two hackers simply can’t afford it.  

“Your best is not enough,” The Joker growls. “She cornered my son last night and almost crushed him against the wall. I had to use manual override to shut her down. That’s not typical machine behavior, is it?!”

“No sir, although I’ve heard of similar incidents in the past months. If it continues, Annie prototype will be pulled off the market soon,” Zariah informs.

“Her name‘s not Annie,” The Clown Prince of Crime interrupts the unwanted advice. “Her name’s Y/N!”

Awkward silence and Kase’s voice resonates from upstairs.

“Daddy?... Daddy?...”

“My son’s awake; I’ll be back,” J abandons the two men in a hurry and stumbles on the numerous cables connecting the laptops to the cyborg on his way out.

“Goddammit!”, he huffs through his clenched teeth before vanishing around the corner.

“That was fucking weird,” Mickel whispers. “What does he means her name is not A.N.N.I.E.?! Am I crazy? Is this not Artificial Non-Neurological Intelligent Entity sitting in that chair?!”

“Of course it is,” Zariah confesses in low tone. “He gives me the creeps too how he thinks she’s in there.”

“What do you mean “she”?” the obvious question follows.

“Check those cords,” Zariah urges and continues: “You noticed he corrected me with the name for the pile of rubbish.”

“Yeah,” the other guy begins typing a bunch of configurations while listening to the scoop.

“Y/N used to take care of his kid. Nobody can say who she really was: some believe she might have even been the mother, that her and Mister Joker were together. Others swear the little boy called her auntie; maybe she actually was Mister J’s sibling. Who the hell knows? She was a strange woman and she looked… different also,” Zariah’s gaze circles the premises to make sure their employer is not eavesdropping.

“No shit!” Mickel frowns at the statistics popping up on the monitors.

“Yeah, I saw her a few times, gave me the creeps. Something was off with her, you just could tell. Mister J always had jerks working for him and I guess they clashed with Y/N quite often: it got so bad they dared planning a prank that ended horribly. Do you know the warehouse on 14th street? The 6 stories one?”

“No.”

“Well, supposedly it happened there: Mister J was out of town and had no clue about the scheme plotted without his consent. The crew took his son on the roof and threatened they will toss him off the building if she doesn’t jump instead.”

“And?!” Mickel halts his typing, intrigued.

“She jumped… … they didn’t think she would.”

“Holy crap! I had no idea!”

“Dude, it was a disaster!” Zariah shrugs depicting the facts. “Y/N splattered all over the concrete, broken to pieces… Despite the severe injuries, she didn’t die immediately: she was in a coma for almost a month before passing away. Mister J had Annie already, he probably bought her as a toy for Kase when it first emerged on the market. The rumor is that while Y/N was in a coma he kidnapped scientists and forced them to work on a senseless project: transferring her conscience inside Annie.”

“You’re shitting me!” Mickel exclaims at the insane disclosure.

“Nope.”

“Can’t be done; it’s impossible!”

“And who’d dare explain the obvious to him, huh? Not the researchers he killed the moment she stopped breathing if you get my drift.”

“That’s messed up!” Mickel forcefully exhales, infinitely more nervous about being at The Penthouse for the moment.

“Do you remember the serial murders that shook Gotham 3 months ago?” Zariah has more gossip for his partner. “It was Mister J hunting down every single person that was on the roof the day Y/N jumped.”

“We shouldn’t be here,” the anxious Mickel shrugs. “Maybe we should abandon our mission.”

“Bulshit! They’ll pay us double over anything he offers so don’t be a pussy! Speaking of, you should assemble the guns prior to his return!”

Mickel is reluctant to the whole scenario, yet he compiles the two guns out of items resembling computer parts scattered in their suitcases: that’s how they were able to deceive security.

“Done,” he stashes one finished weapon under his jacket, offering the other to Zariah.

“Remain calm and we’ll be ok,” the latest mumbles. “Let’s pretend we’re here to repair this junk.”

A couple more minutes pass by and The Joker’s presence alongside his offspring makes the two guys cringe.

The little boy hides behind his father’s legs, shyly glancing the android’s way.

“Don’t be scared,” J grumbles. “She’s in power saving mode, it’s fine.”

“Yes, it’s perfectly safe,” Zariah winks. “We are almost done extracting all the data,” he gestures at the laptop’s screens.

Kase giggles and rushes to climb on Annie’s knees, excited to see her after she wasn’t allowed to sleep in his room last night which is understandable since the robot went bonkers.

“Hi Y/N,” the child softly pulls on her long hair. “I want waffles pwease.”

The hackers exchange meaningful glares and The Joker replies:

“She can’t for now,” he mutters. “She’s defective. Frost will take you out for breakfast, alright?”

“Does it hurt?” the 5 year old pouts at his parent’s affirmation: he doesn’t comprehend all the words and it’s difficult for a kid to process the concept of transference.

After Y/N died, The Joker told Kase she moved inside Annie: he wasn’t delusional about his failed experiment but it was easier to make his son cope with the loss of the woman that raised him. J doesn’t literally believe there’s any trace of Y/N in the machine: how could it be? Several months passed and nothing proved what he tried to accomplish succeeded: a twisted concept originating from a distorted mind was doomed from the start.

“It doesn’t hurt,” The Clown Prince of Crime sighs. “She’s resting.”

“Sir, I think you should see this,” Mickel gets his attention.

“What am I looking at?”

“You used voice command to lock down the android?” Zariah pinpoints at the monitor to his left.

“I did.”

“That’s not what turned off the system: see the numbers flowing borderline with the  central matrix, the tiny squares? She wasn’t locked down by external command, she was terminated from within.”

“What do you mean?!” Mickel scoots over in his rolling chair, baffled.

“Somebody trespassed the firewall,” his accomplice utters the obvious.

J is less than happy with the random discovery still he requires confirmation of his suspicion.

“Meaning?”

“Annie, I mean Y/N is the recipient of a cyber-attack: she’s been hacked.”

“Hacked?” J scoffs. “What for? She’s just a companion android, it doesn’t make any sense.”

“Not sure, sir…” Zariah lifts his shoulders up, baffled.

“Can you find the source?” the green haired individual suggests.

“Analyzing the algorithm shows puzzling results: these numbers should be repeating themselves every so often, yet they don’t; never seen anything like it and I’ve been dealing with computers for a long time,” Mickel adds. “The most interesting detail is certainly challenging our expertise: tracking the root of the signal is pretty much unachievable. We should see input bouncing around from different servers because this is how hackers disguise their trail; but… this particular livestream happened simultaneously from various servers around the country.”

“There’s practically 0% chance for such abnormal hacking with today’s technology!” Zariah scrunches up his face at the baffling discovery. “How in the world was it done?!”

“You’re the experts!” The Joker barks. “I hired you based on strong recommendations from others that used your skills. Can you fix her or not?!”

“Of course, sir.”

“Yes!” the two associates ease The Clown’s doubt. “We’ll unplug the cables, we already removed all necessary info.”

Kase watches them detach the cords from Annie’s access ports, the child sulking at their action.

“Y/N, does it hurt?” he asks and hops off her lap. The empty shell doesn’t respond since the robot is in power saving mode.

“It doesn’t hurt,” The King of Gotham duplicates his earlier statement. “Frost!” he addresses the henchman entering the living room. “Take him to our restaurant on Madison Avenue for breakfast then he can play at the property on Foster Creek until we are done here. I want a 3 cars escort.”

“Yes, boss. I’ll call in advance and tell them not to open the place until we’re done.”

“Good,” J agrees with his henchman’s proposal. “Kase, go and eat!” he urges the offspring having a few more secrets to share with Annie. “Come on, let’s go!” the impatient father encourages.

The 5 year old obeys and kisses Annie’s cheek, whispering:

“I’ll bwing you beck’fast auntie, ok?” and he rushes at Frost’s side screaming up a storm. “Byeeeee daaaaaddy!!!”

The programmers are so absorbed by the mystifying enigma they stumbled upon by accident they don’t pay attention to the little nugget’s promise: even if they would, Zariah and Mickel wouldn’t be able to untangle the convoluted riddle of Y/N’s true identity.

She wasn’t The Joker’s girlfriend nor Kase’s mother: Y/N was nothing less than The Clown’s younger sister.

The woman protected the only family she had like a hawk, thus she didn’t hesitate to give her life in exchange for her nephew’s.

Too bad she had no idea those jerks were mocking her when she ended up on that accursed roof.  

Too bad her brother didn’t guess their intentions and extremely regrettable he was left alone without the only person he ever trusted.

Too bad she died granted J’s desperate efforts to keep her with him.

And so sad he didn’t know how much Y/N meant to him until she was gone.

“Isn’t it weird someone breached my android in the same time it was malfunctioning and closed her down?…” J stares outdoors on the terrace. “Why would anyone go through the trouble?... What’s the purpose?”

The familiar click of safety being taken off a gun awakens The Joker from apathy and he turns around: it’s not easy to surprise J but he’s stunned to notice the two experts he recruited pointing guns at him.

“What the fuck are you doing?!”

“Cashing in a huge payday, sir,” Zariah sneers. “It’s not often you become a legend for murdering…”

The Joker is not listening, his attention diverted by the strange phenomenon occurring behind the two hackers threatening his life: Annie is standing up from her chair and that’s clearly not possible; she is in power saving mode!

The android grabs Mickel’s arm and twists it to 90 degrees, using his own pistol to blow his brains out. Before Zariah can react he’s knocked to the ground with such violence J starts backing out, unsure on what to do when Annie steps on the man’s neck.

The sound of fractured bone plus the cyborg’s attention clearly directed towards him now makes him shout:

“Code 71345, emergency override!”

“Access denied!” the robot approaches still calibrating its joints and electronic synapses.

What the hell is wrong with this thing?!

“Code 71345, emergency override!”

”Access denied!”

J wants to make a run for it but he’s aware Annie is faster; why is she glitching like this?! 

“Code 71…”

“Why are you trying to shut me down when I tried so hard to come back to you?” the cold voice halts the rest of his sentence.

The Joker takes a strenuous breath, dumbfounded at the shocking revelation:

“Y/N?... … Is… is… that you?!... …”

The android tilts its head to the left while an eerie smile flourishes on the plastic lips:

“Missed me?”

 Also read: MASTERLIST 

You can also follow me on Ao3 and Wattpad under the same blog name: DiYunho.

[akshay-s]

Most Important Artificial Intelligence and Machine Learning Interview Questions

Youngsters are now enthusiastic about pursuing a career in Artificial Intelligence and Machine Learning, which is the latest technological revolution. If you are one of the many that are pursuing an Artificial Intelligence and Machine Learning Course, it is crucial to prepare yourself to face interviews.

Here we share the top and frequently asked interview questions regarding Artificial Intelligence and Machine Learning :

1. What is Artificial Intelligence? Give an example of where AI is used on a daily basis.

Artificial Intelligence is the science that deals with creating intelligent machines that work and act like humans. Artificial Intelligence is rapidly expanding its applications to several fields benefitting human lives by making our lives easier. Google maps are using a rudimentary form of AI in providing the best route to the user by using a built-in algorithm along with data like current traffic flow. Apple's Siri also employs Artificial Intelligence in a naive form. Google Home and Amazon's Alexa are the most used devices that employ AI to help the customer in various activities like search, control smart devices, customizing the output based on voice recognition.

2. What is Machine learning? What are the different types of Machine Learning?

Machine learning is a science of training computer systems to learn and act as humans do. Machine learning is achieved by feeding appropriate data to the machines without providing any explicit instructions.

There are three types of Machine Learning :

Supervised learning - The word Supervised learning itself describes that a machine will work under supervision. The machine works with the help of data sets. A labeled set is data for which you know the target answer. The supervised learning algorithm teaches the machine from the past data and provides the response from the past labeled dataset.

Unsupervised learning - There exists no supervision in unsupervised learning. No labeled datasets will be given to the machine rather allowing them to act on the given unlabelled data. The machine tries to identify and act on the given data set by observing patterns.

Reinforcement learning - Reinforcement learning concentrates on performing the most suitable action to optimize the output in a specific scenario. It occurs in a situation where an agent interacts with an environment. The most basic example of reinforcement learning is game theory.

3. What are the differences between the classification and regression techniques of machine learning technology?

Classification and regression are the two techniques applied to achieve supervised learning. Supervised learning is defined as defining an algorithm that maps an input variable to output. The algorithm will be defined in such a way that the input variable is mapped as accurately as possible to the output variable. The major difference between classification and regression is a type of outcome. The output of classification is categorical while the output of regression will be mapped to a numerical value or continuous output variables. The output of regression is quantitative. A vivid example of classification is noticing a spam email. Google uses an algorithm that classifies emails based on the word pattern. Depending on the word pattern, the algorithm will be able to classify an email as spam. Weather prediction, fraud recognition, risk analysis, etc are examples of regression.

4. What is the difference between inductive and deductive learning?

Inductive and Deductive methods are two methods for teaching in Machine learning. The inductive method involves teaching a machine by providing information concerning a particular scenario. The flow of the output will be from an Observation to a Conclusion.  While in the case of the Deductive method, the process will be an inversion inductive method. The deductive methodology starts with a deduction concerning a scenario. The deductive method allows you to define a true statement in a particular situation. A more generalized example of the Deductive method is Euclidean Geometry. Every true statement in the Euclidean Geometry system can be deductively concluded from a basic set of axioms.

Inductive Reasoning, on the other hand, allows you to make statements based on the evidence collected so far. However, the evidence is not the same as fact. The evidence can be used to make an accurate prediction.

5. How to handle missing data in a dataset?

There are various techniques to handle missing data in a specific data set. Below are a few of them.

Deleting the records that possess missing values is one of the techniques to handle missing data. This technique is highly preferred when you have got a huge dataset.

Creating a separate model to handle missing values. This technique consumes a lot of time.

Employing various statistical methods like mean, median, mode. This technique is preferred when there exist numerical values

Applying regression imputation to the given data. This method follows replacing missing values with predicted values by considering the given data set.

 You can choose the best method that fits your specifications.

6. What’s the difference between Type I and Type II error?

Type 1 and Type II are two errors that can occur in a hypothesis. 

Type I error can also be defined as a False positive. Type II error can also be defined as a False-negative. Type I error refers to non-acceptance of hypothesis which must have been accepted. Type II error is the acceptance of the hypothesis which should be rejected. To demonstrate the difference we can consider an example of Biometrics. When someone scans their fingers for a biometric scan, a Type I error is the occurrence of rejection even with an authorized match. A Type II error is the occurrence of acceptance even with a wrong/unauthorized match.

7. Explain Cluster Sampling :

A cluster sampling technique is a simple random sampling technique. Cluster sampling is widely used in marketing research as it maintains both homogeneity and heterogeneity. Sample clustering involves dividing the given data into simple groups called clusters. One sample will be chosen among multiple samples available. The ultimate goal of cluster sampling is to bifurcate the data to build effective modules. Cluster sampling is cost-effective and consumes less time as it is an easy task to perform sampling geographically. Cluster sampling is simple to implement yet derives the most accurate outcomes as it enhances competence.

8. What is Deep Learning and How does it work?

Deep learning is a subset of Machine learning which is often referred to as an end to end learning. It can also be defined as a type of Machine learning. It is designed to work along the same lines with a human brain. The structure employed in building deep learning technology is called Artificial Neural network. Deep learning involves the consumption of a vast amount of data to study and analyze the patterns, systems, methods involved to produce meaningful outputs. In other words, deep learning can be simply be defined as acquiring knowledge by studying huge datasets. The data can be images, sound, text, videos.  The deep learning techniques are widely applied in various applications such as natural language processing.

9. How Do You Choose an Algorithm for a Classification Problem?

Classification is nothing but predicting the class, category or a label to which a new observation belongs. It is not simple to figure out the best algorithm for a classification problem. Every scenario in Machine learning requires being tried with multiple datasets with a wide variety of algorithms and choose the best among them. A more generalized process starts with Studying the data and proceeds with creating dependent and independent datasets based on our dependent and dependent features. The process follows splitting the data into training and testing sets. Then, it will proceed with training the given model for different classification algorithms like XGB Classifier, Decision Tree, SVM classifier, Random Forest Classifier. The best algorithm will be selected after performing all the prescribed actions.

10.Difference between Machine Learning and Deep Learning technologies?

Both Machine Learning and Deep learning techniques are applied to achieve Artificial Intelligence. One of the major differences between these two technologies is that Machine learning is a subset of artificial intelligence while deep learning is the subset of machine learning.

Machine Learning - It is an application of artificial intelligence (AI) that enables systems to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.

Deep Learning - It employs multi-layered neural networks to work on the given data in many complex methods, targeting the systems to attain perfection in performing several untold tasks.

Learn More: Differences Between Artificial Intelligence, Machine Learning, and Deep Learning

[shrikkantt]

Investment Opportunity: EAZYBILLPAY - The Power of Innovation!

Investment Opportunity: EAZYBILLPAY – The Power of Innovation!

  Training8m Corporate Technologies Limited

5, Lawson Street,

Southport, Queensland – 4215 Australia

  Hi,

  We have a unique and an awesome Investment Opportunity in our Australian Secure Digital Bill Payment Technology, International Money Transfers, and Blockchain Payment Systems, Cross Border Payments, Crypto Currency, Integrated Global Stock and Commodity Exchanges, Integrated Financial…

[scalacode]

If you are an IT graduate or willing to switch your career in this industry because rapid technology advancements are exciting, then you must know about the 20 latest trending technologies.

rtificial Intelligence & Machine Learning (AI-ML)

 AI-ML is not new to the IT industry, and it’s getting valuable hype for the past few years. The comprehensive response will also bring it to the next level in 2023. As a result, AI-ML is a hot skill to learn and make a career in the IT industry.

AI-ML, usually considered synonyms for each other, are two different technologies, though these both need to be used together in an application.

Artificial intelligence is a computer science stream where digital solutions are developed with the human ability to think and respond. Business chatbots, Amazon Alexa, and Google Siri are widespread instances of Artificial intelligence.  

Machine Learning, usually known as ML, is a sub-part of AI technology. ML technology extracts the requested information from backend databases and serves through AI-enabled applications. For instance, Alexa receives the request from end-users, and through its machine learning, it extracts the relevant data from the backend and offers it according to the received request.

So in order to make a career in AI-ML, you need to learn both Artificial intelligence and machine learning.

Data Science

If you like data and have the analytical ability to extract information, then you can become a data analyst. Data science allows non-technical individuals to play a key role in a market research team and, based on the survey and data evaluation, facilitates top management to make decisions for the company's benefit. 

Information of Things (IoT)

IoT stands for Internet of Things is the latest IT trend you can learn. IoT is a technique to learn human behaviour, habits, and expectations. Business sectors like healthcare, Food & beverages, eCommerce, and many others require such helpful information to satisfy their need. IoT technology is vital in knowing customers�� natures and serving them the best. 

Smart device

There are various types of smart devices, including smartphones, smart TV, smart watch, smart outfit, and many more. These smart wearables ease the life of individuals. Smart watches facilitate their wearer to receive and disconnect phone calls, connect with friends through social media, and report daily diet and calorie burning by walking. These devices are IoT-enabled devices. As a result, you can utilise your IoT knowledge in smart device manufacturing.  

Augmented Reality and Virtual Reality

The following exceptional technological trend - Virtual Reality (VR), Augmented Reality (AR), and Extended Reality (ER). VR immerses the user in an environment, whereas AR enhances their surroundings. Although this technology trend has primarily been used for gaming, it has also been used for training. For example, with VirtualShip, a simulation software AR and VR have enormous potential in training, entertainment, education, marketing, and even injury rehabilitation. They typically work in tandem with some of the other emerging technologies mentioned in this list. Read more...