“ How far humans have come into this journey, one knows for sure. A destination humans are standing on right now is Artificial Intelligence. ”

Let’s dive deep into the Pros and Cons of Artificial Intelligence. 

Lead-ins of Artificial Intelligence (AI).

Anything that has mean of inception is artificial. Artificial satellite versus natural satellite, the moon. Artificial body hands and legs for disabled kids and brave veterans. Artificial Carbon dioxide CO2 causing Global Warming worldwide with far-ranging implications versus natural Carbon Dioxide C02. What about Artificial Intelligence? Strange true. It was only a notion back in the 1960s that was impossible as is Time Travel Today. But there came a moment when Artificial Intelligence got the attention of the mighty intellectual lords of earth; the scientists. humanity is getting along with Artificial Intelligence in every sphere of life.

“A moment when an artificially intelligent computer system the Deep Blue defeated World Chess Champion Garry Kasparov in six-game combat.”

Historical Perspective of AI.

The journey of Computer systems starts from Turing Machine. A single machine that helped the Allied Forces win the World War breaking the mighty Enigma. That was the very first computer system that evolved on earth. After the inception of the Turing Machine, there were many breakthroughs that paved the way for modern-day computer systems. All this way not achieved in a single year or a single decade. The evolution of the computer system is comprised of four generations.

Expanding Incursions of AI.

At present, the area of implementation of AI is expanding with each passing day. What is, by the way, the world’s biggest library? Don’t you know? Despite the fact that you have its access at your fingertip. A Search Engine. Yes, a search engine is the biggest library in the world. The question here is how you would be able to fetch the desired result from that ocean of knowledge? All hail Artificial Intelligence. You intend to travel, firstly, you see the weather forecast, AI.

You don’t know the way, you ask the query from Siri in Apple, Cortana in Microsoft, Alexa in Amazon, and Tesla, and they would give you the best and shortest path, AI. These are minor things that have become part of life today. You use them without even realizing them.

AI Revolutionizing Data Sciences.

Speaking of professional domains, data is a more precious resource of the future. More precious than Persian Oil and African Gold would be. Why Facebook is facing a penalty of $5 Billion? Unable to Secure Data. Why Cambridge Project as being termed as Another Whistle-Blower? Because it is based on Artificial Intelligence and it is totally associated with data. When it comes to bigger business organization, data indeed has a greater worth as well as the impact on the business. Today, businesses are being run on behalf of data. 

Dark Data

The data that a company is having at its disposal is worthy. But not all the data is being used. There is data that remains in the databases of the company. If a data a company is storing is of no used to company, what’s the purpose of storing it in the first place? Nothing meaningful. AI defines the jurisdictions for such data. AI directs the systems to get over with the data that is necessary.

Data Integration

The data that an organization is collecting not thoroughly Dark Data. There is data is that is extremely useful for the company. How to put all that data in use by integrating all of the data with numerous departments of the company. It is more like harmonizing the data according to the needs of the service. 

Efficacious versus Pilled Up data

The data that is being collected at the disposal of service can be segregated into dark data as well as the useful data. The most important question of the entire data debate is that who would segregate between those distinctions of usefulness and uselessness? Here comes the role of AI. Applications built by keeping in view the data-oriented aspects can segregate that. AI would make it possible to harness all the departments of the company to harness useful data effectively. 

5R’s of Data 

The data is utilized for so many purposes is that data of different natures. The nature of data is comprised of the traits if data. The data that a company is collecting might be segregated into different sorts based on the traits it is carrying.

1. Relevance

Relevancy of data is the most important aspect. The data must be relevant. Similar data can give a better approach to harness itself with the application that is being used for the data segregation. Similar data would be easily segregated.

2. Recency 

Data that is being segregated must have an association with the previous task. Previously used data would better be rationalized that whether to use it or not to.

3. Range

Data must be collected from wide-ranging resources. It would enhance the efficiency of data. Diverse data can be made more effective when it comes to drawing the results pertaining to the company’s grooming.

4. Robustness 

Data that is being segregated must be robust. Concrete data be optimized in a better way. A way that reflects appealing eventualities.

5. Reliability 

Reliability of data, for sure, matters. Reliable data is easier to get along with Artificial Approaches. A reliable data can also give you the promising figures that could be more useful the evaluation of the existing systems.

AI harmonizing Finance and Economics.

A newly emerged exchange running artificially without the workforce in Hong Kong is the recent demonstration of what can be achieved by Artificial Intelligence in finance. Extremely complex applications that finance organizations are using are designed keeping in view the artificial intelligence aspects. Hefty calculations are being performed efficiently worldwide. These applications [MetaStock, Optuma, QuantShare, TC2000, and Tradingview] are the backbone of the finance industry. These are the applications that are running stock exchanges worldwide. They represent the indicators that are crucial players of the economy of a country. Entire economies are being driven by them. There was a moment when there was only a system called the Barter System. Here we are, hundreds of systems and all of them are artificially managed worldwide. This is the illustration and face of artificial today.  

Coaxing SEO via AI Evaluation and Evolution.

You made a search today about Search Engine Optimization and its advantages, a while later, you start receiving ads pertaining to SEO on the sidebar of your windows. How come that be possible? How does the search engine knows that you are searching for having queries pertaining to SEO? Don’t you know all the search engines are using AI algorithms that rationales your search history? Behind your query, there are so many algorithms that are working to give you the best-suited results as well as the relevant content. That’s what is all about search engine marketing. 

Digital Marketing Credentials

Search Engine Optimization is designed in such a way that it reflects the credentials if digital marketing. SEO is the best-suited tool for outreaching and branding and a way to standardize your business. To maximize the presence of your business in the business domains, you’ve to make your business get the due audience that would be a business-boosting factor. 

Role of Marketing Platforms

Digital marketing is a notion. That notion is being carried away by different marketing platforms. These platforms that provide dual layouts. A layout for the business, a layout for the consumer. Both get a viable platform to approach their respective queries.

More like,

• Google my Business
• Yelp
• Manta
• YouTube
• Twitter
• Foursquare
• Instagram
• Amazon
• Facebook
• Angie’s List
• Yellow pages
• Better Business Bureau

These are all the platforms that are being used as a review as well as marketing platforms. They reveal the basic credentials a business is holding. If a robust strategy is defined for marketing over these platforms, you can get the best out of them that would eventually boost your business.

Evolution of Google’s Algorithms 

Google, being a Search Engine Optimizer is doing a great job all-inclusively. That effectiveness wasn’t achieved overnight or over a year. It took a lot of time as well as a lot to consider to get to a better node. Each algorithm was the more evolved format of the previous one.

Evolutionary like,

• Panda                                           (24 Feb 2011)
• Penguin                                      (24 April 2012)
• Hummingbird                        (22 August 2013)
• Pigeon                                          (24 July 2014)
• Mobile-Friendly Update          (21 April 2015)
• RankBrain                             (26 October 2015)
• Possum                            (01 September 2016)
• Fred                                          (08 March 2017)

These are the updates that have been evaluating overtime to make Google more friendly and compatible with queries of the user. 

Futuristic Horizons 

Digital Marketing is to evolve with the passage of time. Primarily, outbound mediums were considered as all in all parameters for marketing. These things have evolved with the passage of time. Today, inbound marketing is a more effective tool in the digital marketing world. Social Media, Marketing Platforms and Marketing Protocols are the more efficacious tools in domains of digital marketing. Amongst those platforms, prevailing ones are more effective.

Prevailing like,

• Search Engine Optimization (SEO)
• Pay Per Click (PPC)
• Cost Per Click (CPC)
• Remarketing (RM)
• Search Engine Result Pages (SERPs)
• Search Engine Marketing (SEM)

With the evaluation of these parameters, digital marketing would too get better and better. These are basic carriers of marketing when it comes to digital marketing. These are all designed keeping in view the Artificial Intelligence that drives them all.

Educational Dimensions and Role of AI.

Artificial Intelligence is also feeding the credentials in educational dimensions. Fetching an internationally held educational conference, using more thorough applications for research purposes, deducing theories and facts with the help more intelligent computer systems is more prominent as well as a more effective approach today. This approach is getting more and more embedded in today’s educational dimensions.

“ Artificial Intelligence is yet to make some significant contributions to education and learning. We are quite far from seeing intelligent machines in the classrooms. ”

A Bird’s Eye view at the finale of Pros and Cons of AI.

Hard truths cut both ways. Assessing the take on pros and cons, it can be concluded that there are certain damaging aspects too. Intentional or unintentional, but they have the implication for a productive human cycle. Surveillance tools are designed keeping in view AI parameters and even they work accordingly. They could be damaging to hefty extents.

More like,

• False Use of Surveillance Tools
• More Probabilities of Cyber Crime
• Downfall of Workforce
• Mitigation of Human Incursion in Mainstream.
• Data Manipulation
• Data Access to Malicious Resources via AI Tools
• Obsoleteness of Conventional Systems

Agreed or not, intentional or unintentional, but these are/could be the impacts in near or distant future. It is not about giving a notion about abandoning the AI. It is about making it more and more robust free from all malicious probabilities leaving a better hereafter for generations to come. 

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The AI productivity of data hinges on developing systems that can automatically process data and transform it into a digestible format. Make no mistake. Data is now one of the most important strategic resources for businesses moving forward.

We’re already seeing a lot of data being stored today – so much that it’s overwhelming businesses and placing a lot of stress on their processes. Internet traffic has accumulated zettabytes of data, and it continues to grow.

Right now, most companies use third-party applications to sort this data into reports and other viewable formats for making decisions. But most of this is still done manually through other applications. But the sheer volume of data is starting to make this impossible, so businesses will need to turn to artificial intelligence and machine learning to solve this growing problem. What makes this new technology so powerful is that it can organize and sort out huge amounts of data.

Some unique data challenges include:

•     Manage dark data
•     Data analytics for integration
•     Data retention
•     Access to essential data

Businesses are struggling to handle the varying types of data being brought into their systems. Since these systems are unstructured, data is just being stored anywhere there is room. This becomes a problem when it’s time to access it.

As a result, businesses are looking for ways to manage all of their data. Artificial intelligence is the answer. It will improve the productivity of data by ensuring that it’s being filtered to the right locations and accessible by the right people. In short, AI productivity of data hinges on the fact that it can automatically transform unstructured data into a user-friendly format.

AI Sorts Through Dark Data

All businesses have huge amounts of data that continue to build up over time. This data is normally scattered across multiple departments. Sometimes the right people don’t even know that this valuable data exists. This is known as dark data. 

Machine learning can sort through all of this data using algorithms so that it’s available to the right people. Once a team member has access to it, they can then tweak the system based on the results. AI can completely fix the problems that result from dark data.

AI Decides Which Data to Throw Away

Certain information is useless to businesses, but the problem with current systems is that they will store all information equally. Without machine learning, there is no way for the system to identify what is considered non-essential data. AI systems will go through a database and archive records that have not been used in a set amount of years. Since those records are likely obsolete, then they are just clogging up your system.

Organization of Data Storage

Research Optimus professionals have noticed a trend with the way businesses are storing data, and developed systems that use AI technology to automatically manage the way data is stored. These systems are known as “smart storage systems.” Traditional systems save data wherever there is room, and then departments within a company have to sort through irrelevant information to find what they need. AI ensures that data is stored and shared with only departments that need it.

AI Improves Data Management

•     AI Protects Data: Data-centric businesses have gained a huge competitive advantage, but it does not come without some risk. They are collecting so much data that they have to focus on ways to protect it. AI systems can manage the execution of data so that only individuals who need it are given access, reducing the chances of information getting into the wrong hands.

•     Automating Conventional Data Processes: AI is a powerful tool in automating routine data management tasks. Most data can be filtered based on its origin so AI can establish specific rules for automation and then process this data accordingly.

•     Legacy Data Can be Accessed by AI: There is a lot of older data that might still be stored on older systems that hold a lot of value. Sometimes this data is not even in digital format. AI provides tools like image recognition to convert images of these documents into a format that is readable by machines.

•     Seek Out Issues with Data Quality: Data quality is an essential part of the business, so AI systems are designed in a way that they can check data for quality. These conclusions are drawn based on overall analytics and system data that has already been verified. AI technology can even be programmed in a way that allows it to automatically make corrections.

•     Develops New Data Rules: The needs of a business change over time, so they must be able to identify what types of data need to be stored, and what types can be discarded. AI can automatically look through data usage to find patterns and create new data rules based on the individual needs of the business.

AI Will Continue to Grow as Data Does

We’re living in a digital age so it can be surmised that the need for data is going to continue to grow, especially with the emergence of 5G networks in 2020. Mobile data will be shared at an all-time high. Fortunately, artificial intelligence will also expand to meet the demands of businesses moving forward. Brands that want to stay ahead of the game will need to bring in AI professionals who are at the top of their game.

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According to reports, Chatbots will power 85% of customer service by 2020. 44% of executives believe that AI’s most crucial benefit lies in the fact that it can be used to make important business decisions. Now that the stats look promising, and the world is gradually heading towards a new tomorrow, let’s take a look at the top five Artificial Intelligence technologies making their presence felt this year.

1. Siri

She is agile, user-friendly and helpful for a lot of reasons.

“Siri is more like a girl next door or a helpful neighbour who is willing to assist you in wrapping up daily chores seamlessly.”

Check out the exclusive features of this state-of-the-art AI technology.

• The pseudo-intelligent digital personal assistant helps its users find crucial information, gives directions and adds events to the calendar for future reminders.
• She utilizes machine learning technology to predict or answer natural-language questions in a better and smarter way.
• Apart from all these, SIRI reminds you to make all important calls, reads the last message on your behalf, and finishes an incomplete sentence and more.

2. Tesla

If you have missed out on exploring Tesla’s AI Intelligence, then you have missed out on a major deal of technological advancement in your life.

Talking of predictive features and technology-driven intelligence, Tesla cars have some of the most breathtaking features. Let’s take a look:

• The autopilot offers advanced sensor coverage with 8 surround cameras providing 360 degrees of visibility around the car and up to 250 meters of range.
• It enables your car to steer, accelerate and brake automatically within its lane.
• Navigating on Autopilot suggests lane changes to optimise your route and make adjustments following the current traffic situation.
• Apart from that, the all-new on-board computer offers processing power with an increased efficiency ranging up to 40 times the computing power of the previous generation.

3. Amazon Alexa

Think AI, think Alexa. This is essentially the bottom line if we are to talk about the advancements made in the field of Artificial Intelligence. From providing digital businesses with a competitive advantage to taking predictive responses to the next level of success, here’s everything Alexa has to offer you.

• Alexa helps in finding your phone.
• It tunes your guitar; how cool is that.
• Controls your smart home efficiently.
• It has in-built Bluetooth speakers as well.
• Guess what? It orders products online on your behalf

4. Cortana

Microsoft’s digital assistant Cortana aims at helping its users get things done more smartly. To get started, you need to select the Cortana icon in the taskbar or insert command in the search bar. Try asking “what can you do” and the AI would display a myriad of activities it is capable of doing.

Here’s what Cortana offers its users:

• Gives you reminders based on people, places and time.
• Tracks flights, interests and teams.
• Manages your calendar and keeps you updated.
• It opens any application on your system.
• Plays music, radio stations, and podcasts.
• Sends texts and emails.
• Finds out facts, stats, relevant sources, and other information.
• Creates and manages lists of activities.

5. Cogito

The catchphrase of Cogito “ELEVATE THE HUMAN EXPERIENCE” says it all. Co-founded by Dr. Sandy Pentland and Joshua Feast, this AI technology is said to be one of the most powerful examples of behavioral adaptation.

Let’s check out what Cogito has in store for its users.

• AI detects human signals and provides live behavioral guidance.
• Engages members and improves business outcomes in a much efficient manner.
• The fusion of behavioral science and machine learning improves customer interaction.

6. John Paul

This is yet another striking example of powerful AI ruling 2019. The innovative and highly ranked luxury concierge company leverages the potential of cutting-edge technology to serve its clients with the best AI experience ever.

Let’s check out what are they up to:

• The company utilizes AI mechanisms to power the concierge services for millions of clients via some of the global big shots like Air France, Orange, and VISA.
• The predictive interface allows the company to analyze and understand their client’s preferences or desires keenly.

7. Netflix

Even its AI is a pretty cool one and loves to “chill” like a boss. Netflix provides highly accurate and predictive technology based on consumer’s reaction to movies and web series.

Here’s how it works:

The AI reminds users of an approaching date of subscription payment, free trial offers and latest additions in the block in a smarter way.

“The Netflix AI analyses thousands of records to suggest films based on the viewers’ previous preferences and reactions.”

8. Nest

There’s good news for the techies worldwide. Nest and Google Home have joined together to form Google Home. The latest AI innovation from Nest offers the following features:

• It can now be voice-controlled by Alexa.
• Nest uses behavioral algorithms to predictively learn about the smart home in terms of heating and cooling preferences.
• As part of its latest addition, the device now includes a collection of other products like the Nest cameras.

To Wrap Up

Now that you know about the most potent and powerful examples of Artificial Intelligence, identify the one that would suit your niche the best and welcome home a powerful alternative to human intelligence. Lest we forget, this is a world of wonder, technological advancements and man-made machines that could be our voice of expression down the road.

–William Shell a programming language assignment writer and Enthusiastic blogger

Also Read Types of Artificial Intelligence

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• Tesla Vehicles. Popular and modern self-driving cars are provided by special AI hardware.
• Voice Assistants Siri, Alice, Microsoft Cortana, and other assistants, which you can find on your smartphone, also use AI technologies.
• PayPal The popular payment system includes an AI program to fight fraudsters and find anomalies to help its users.
• AlphaGo. The program was created in 2015 for playing Go, a tactical table game. It first has won the game against a professional player. 

AI researches have a big influence on the development of new technology. Due to the rapid progress of artificial intelligence, people are at the end of the first stage of AI – Artificial Narrow Intelligence (ANI). This means we are able to create programs, robots, machines which are perfect in performing one exact task. Further development of artificial intelligence will produce more complicated systems that would be able to learn something new and teach themselves during working out different problems.

We spoke to a representative from Robafoam, who specializes in foam sealing and they said, “Artificial intelligence is becoming very popular in manufacturing industries, this is because it helps reduce critical mistakes, boosts safety measures and also improves the entire production process.

It’s no coincidence that Machine learning (ML) is one of the main and important spheres of AI.

“Machines can ACT and THINK like people but only if they have enough information needed for certain processes.” 

And as giving vital data to the robots and programs takes a lot of time and is very tiring, learning ability is essential for them.

ML science uses analytical methods to help machines with working out with loads of data, without giving them exact instructions. It saves an enormous amount of time while the benefit does not decrease. ML is based on a set of complicated algorithms that use data that is provided for training and predicting, improving the utility function in the different conditions and classifying data in certain categories. The accuracy of the ML method depends mostly on the amount of user data and its quality.

AI In Tactics

Among a huge amount of AI spheres, there is learning and training practical skills without any dangers and troubles. AI has already achieved a lot of success in different tactical games from some classic table ones (like chess, Go, Poker and other) to modern computer games. AI robots easily win masters and professional players.

You can think that games are not so important for the development of such type of technologies. But the parallel could be drawn with military training. As soldiers are going to take part in dangerous operations, they need real experience to be ready for different situations.

And AI is perfect to give realistic troubles and problems to the students because it takes into account a lot of elements while people can foresee only a little part of the circumstances.

If we go deeper and look at real hostilities you will see that AI fits here too.  As tactical and strategy-based situations are the ideal conditions for AI possibilities, combat places would be perfect for using modern technologies because military actions are controlled by strict rules and plans.

In some hard situations, soldiers are not sure what to do while AI can easily foresee millions of possible outcomes depending on all of the potential factors. And what if more, these calculations will not take a lot of time, a few seconds would be enough. So that AI would be a vital role of strategy-makers.

With artificial intelligence, there would be fewer victims on both sides of the war. Or maybe innovative technologies will become a crucial tool at preventing military conflicts around the world because having by both sides a thing that expects all of the enemy’s actions makes war really useless.

AI In Science

Science is a quite big occupation in our world. And sometimes scientists find their job tiring and difficult. Especially during the researchers and experiments, it is easy for people to make a mistake. It is very important to find all missteps because some faults can be even dangerous. However, AI technologies allow scientists to prevent doing serious faults. Artificial intelligence can supervise people’s action or calculations and mark doubtful places so that human check and fix it.

AI In Medicine

AI or rather neural networks can be used in the healthcare area. With their help doctors can analyze lots of photos, records, X-Rays, scans and find a variety of pathologies more effectively; choose appropriate treatment and drugs; give better consultation to the patients. Moreover, AI is possible to estimate the chances of complications in the surgery or even the probability of death.

Other AI fields

• Natural Language Processing. Voice assistants in our gadgets exist thanks to AI technologies. They analyze the spoken words and help to interact with the smartphone or another device. With AI help you can communicate with other people who don’t know your language. Accepting voice data and auto-translating into a necessary language in a few seconds may help people from other countries to speak to each other.
• Writing. Recognizing letters written by a human and transferring it into the text that can be edited saves a lot of time in education and doing researches.
• Intelligent Robots. Very complicated systems can analyze input physical data with further classifying and calculating it. Adaptable to the situations and capable of learning AI robots become very useful for cases where humans can’t act. For exploring other planets their impact will be enormous because sending people can be dangerous and troublesome during the first flights.
• Predicting and Forecasting. After processing a lot of data, AI detects some confluence of circumstances and some new algorithms appear. Predicting depends on thousands of factors so it is not always correct. But more data is processed, more accurate predictions will be. 

In conclusion, Artificial intelligence is a very important part of human progress, which will affect the majority of people’s activities and professions.

Also Read: 4 Ways How Artificial Intelligence Impacts our day to day Life

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> Personalized Employee Experiences

One of the recent studies discussed how AI can effectively be wicker into an employee’s onboarding program. New employees who typically want to meet people and acquire information typically may not know where to go. They can ask their desk neighbor. But, if he/she works in a separate department then? 

IBM is looking to create a system that will answer a new employee’s most pressing or job critical questions to help get them up to speed fast. An AI, for instance, could offer training suggestions or give the names, locations and contact info for people he/she should look to connect with on his first day or so. 

> Cognitive-Supporting Decision-Making

Given below are some of the ways by which AI influence Cognitive-Supporting Decision-Making.

• Vacation requests – Employees that want to put in for vacation days are informed that it is unlikely to be approved as many others have already booked a vacation in that time frame.
• Determining your mood – An employee takes a client call. After the call, the employee receives feedback that he seems anxious and should take a break before his meeting.
• Team training – When an organization wants to take a more systematic approach to employee training, team managers are provided with a list of training opportunities for team members.
• Hiring processes – A hiring manager has presented with information that the company’s recruitment approach falls short because it interviews too few candidates. Cognitive solutions assist corporations tap into various data sources and share the latest insights to help corporations generate candidate profiles, among other things. AI course can help you more to learn about this process. 

> Automation of ‘Repetitive, Low-Value Add Tasks’

AI presents an opportunity for HR to automate repetitively, low-value add tasks and increase the focus on more strategic work. For instance, an HR spending time processing the steps of onboarding a new employee (allocating space, provisioning a laptop, etc.) Saving time in those areas can help HR teams pivot to assure they focus on value-add work like mentoring and continuous feedback.

While AI tools automate away basic HR tasks like benefits management and triaging general questions and requests, HR teams will be free to do more creative and strategic work that has a greater impact on the success of their businesses.

> Recruiting Process

Applicants and employees expect custom experiences tailored to their unique needs as they apply for a new job, choose the right benefits or explore development opportunities. 

Companies have implemented a new strategy so-called AI recruiters to automate scheduling interviews, provide ongoing feedback to candidates and answer their questions in real time. This allows human recruiters to spend more time converting candidates to hires.

> Smarter People Analytics

For years, companies or organizations have been collecting data on their customers to gain insights to predict future behavior.

In the never-ending war for talent, companies will look to find innovative ways to attract top talent. Technologies that boost the candidate experience and meet the candidate’s digital expectations will help distinguish corporations from one another.”

> Removing Biases

One of the recent surveys found that even when employers strive to be inclusive, they may subconsciously lean toward candidates who are most like them, or what they call unconscious bias. Another bias, language bias, has been discovered by a psychological tool called the Implicit Association Test (IAT) that shows that people’s subconscious word associations indicate bias. Now, thanks to AI, algorithms can be invented to help employers recognize and remove these bias patterns in the language they use to enhance their hiring communications and welcome diverse applicants.

AI could also present managers with candidates who may have been screened out due to the human tendency to favor candidates with related traits or competencies

> Identifying Employees on the Way Out

AI platforms are designed to single out employees that may be heading for the exit door. It tracks employee computer activity — emails, keystrokes, internet browsing, etc. — and stores it for one month and executes an AI system that examines the data to find out a baseline of normal activity patterns in the company.

Conclusion

As much as the HR technology landscape continues to be disturbed by AI, HR teams need to balance these cognitive tech advancements with transparency.     

Kritesh a Professional Blogger and Writer. Connect here at  Linkedin

Also Read :  Recruitment That Works With Artificial Intelligence

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The main human functions that an Artificial Intelligence machine performs include logical reasoning, learning, and self-correction. AI is a broad field with a number of applications but it is also one of the most complicated technology to work on. Machines are not smart intrinsically. Therefore, to make them so, we need a lot of computing power and data that will empower them to simulate human thinking.

Connection between Data Science and Artificial intelligence

Artificial intelligence and data science are the two technologies that are important for the management of information in this modern age of business. A lot of people are interested in becoming a data scientist while more and more organizations are embracing artificial intelligence. They are necessary for being competitive in this contemporary era.

• Let us now discuss what Data science It is simply the study of data and plays the role of extracting useful insights from data. Moreover, it involves developing methods of recording, storing, and analyzing data to effectively extract useful information.
• Data science works by merging various fields of computer science, scientific processes and methods, and statistics in order to extract data in automated ways. The goal of data science is to gain insights and knowledge from any type of data — both structured and unstructured. To mine big data, Data science uses a diverse range of techniques, tools, and algorithms obtained from the fields. Data science helps in the advancement of these techniques.

• There is a connection between Artificial Intelligence and Data science and the technology connecting them is called Machine Learning. Now, what does Machine Learning do?
• In machine learning, statistical methods empower machines to learn without being programmed explicitly. Machine Learning is a part of Artificial Intelligence that enables systems to automatically learn and improve from experience on their own without being explicitly programmed. It gives computers “The ability to learn” which makes them more similar to humans. This is achieved by developing computer programs that can access data and system to train themselves from that data to learn.

In general, Machine learning is designed on the basis of three key models of learning algorithms :

• Supervised machine learning algorithms
• Unsupervised machine learning algorithms
• Reinforcement machine learning algorithms

ARTIFICIAL INTELLIGENCE IN DATA SCIENCE

We will now explore what role is played by artificial intelligence in data science. It is a known fact that the data scientists use the technologies of artificial intelligence, as well as machine learning, to be able to fulfill their roles. Why are they doing it? It’s time to explore this.

a) The Role of Data Scientists

In order to understand how artificial intelligence fits in the realm of data science, it is important to have an understanding of what the data scientists do. Basically, the job of data scientist involves organizing and analyzing large amounts of data, by using the software specifically designed for the task. The final results calculated by the data scientist’s analysis needs to be easy enough for all invested stakeholders to understand  — especially those working outside of IT. The job of a data scientist must not be confused with that of a data analyst, although, the two both deal with data.

b) How Artificial Intelligence Helps

By now, you should have understood that artificial intelligence is a crucial component of data science. The main objective of AI is to recreate human intelligence into computers. In turn, this can be used by data scientists to capture insights from the information that is available. Both of them rely on data. Nonetheless, it must be noted that data science does not rely only on artificial intelligence, but data science is itself an important component.

In data science, the usage of artificial intelligence and machine learning will be critical to drawing inferences and perceptions from the information present. It will help in the problem-solving task and make the most out of the data that is available. While data scientists will find their own approaches on how to solve the problem, in one way or another, artificial intelligence will act as a key component. It can help to automate various processes to change the way of how data is extracted and used in an organization.

c) Not a Replacement to Data Scientists

One thing that technology has created in humans is that it instills fear that humans are going to get replaced by these scientific or artificial intelligence machines. However, it needs to be clarified that in reality, such is not the case.

In simple words, we can say that Artificial Intelligence augments or increases the capabilities of humans. It helps in making data scientists better in what they are doing instead of replacing them. AI improves the performance of analytic technologies, breaks down the economic barriers, and improves understanding, among other things.

Summary

Artificial intelligence plays the role of an important component of data science. For some, both of them are different disciplines but they actually complement and augment each other. When these are properly utilized by today’s businesses, it is expected that there will be very significant improvements in the way the information gets managed.

The role of AI in Data science can be elaborated as :

• Artificial Intelligence recreates intelligence into computers. Whereas the role of Data science is using computers to acquire insights from data.
• Both of them are data reliant, both require you to gather, analyze, and clean a lot of data.
• Data scientists use AI to infer from data, in the form of machine learning, but they’re both big on gathering, analyzing, and collecting large amounts of data.

The role of Machine learning is to find patterns in any given type of data no matter if its an image, a collection of measurements or options to choose. Those patterns are then further used to either predict something, find clusters or to decide on equivalences.

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Artificial Intelligence can be defined as “the study and designing of intelligent agents” where an intelligent agent stands for a system that perceives its environment and takes actions which maximize its chances of success.

Artificial Intelligence technology works with the help of a number of tools. Some of them are described below :

1.  Tensor Flow
2.  Keras
3.  Scikit Learn
4.  Theano

Let’s have a look into these tools in detail

1. TensorFlow

• TensorFlow is an open-source library that helps in numerical computation using data flow graphs. Simply, TensorFlow is a library which can be used to build neural networks.
• If you want to build neural networks from the very initial stage and you don’t have TensorFlow then you will make all nodes, create interconnections between nodes, define relationships among nodes in the entire graph and do processing on it. But, if you have TensorFlow then it will be very easy for you to complete all these tasks at a faster speed.

TensorFlow contains 3 main components :

1. TensorFlow(API): It consists of the APIs to define the models and train the models with the data.
2. TensorBoard: It helps in analyzing, visualizing, and debugging TensorFlow graphs.
3. TensorFlow Serving: It helps in deploying the pre-trained models and is capable of switching from old models to new models without any downtime

2. Keras

• Keras comes under one of the leading high-level neural network API’s. It is written in Python and also supports multiple back-end neural network computation engines.
• The features include being user-friendly, modular, easy to extend and to work with Python.
• Being easy to learn and easy to model building, Keras offers many advantages as well like broad adoption, support for a wide range of production deployment options, and strong support for multiple GPUs and distributed training. 
• Moreover, Keras is backed by Google, Microsoft, Amazon, Apple, Nvidia, Uber, and others.

3. Scikit-learn

• Scikit-learn is a Python library that offers many unsupervised and supervised learning algorithms. It is built on technologies like  NumPy, pandas, and Matplotlib.

      The functionality provided by scikit-learn includes :

• Regression (Linear and Logistic Regression)
• Classification (K-Nearest Neighbors)
• Clustering (K-Means and K-Means++)
• Model selection
• Preprocessing (Min-Max Normalization)

This library is built upon the SciPy (Scientific Python) that needs to be installed before using scikit-learn. The stack includes:

• NumPy: Base n-dimensional array package
• SciPy: Fundamental library for scientific computing
• Matplotlib: Comprehensive 2D/3D plotting
• IPython: Enhanced interactive console
• Sympy: Symbolic mathematics
• Pandas: Data structures and analysis

Extensions for SciPy are conventionally named as SciKits. Therefore, the module provides learning algorithms and is named scikit-learn.

4. Theano

• Theano is also another Python library that allows evaluating mathematical operations including multi-dimensional arrays. It is mostly used in building Deep Learning Projects. 
• It works faster on Graphics Processing Unit (GPU) rather than on the CPU. Theano attains very high speeds that give tough competition to C implementations for problems that involve a huge amount of data.  It can also take advantage of GPUs which enables it to perform better than C on a CPU.
• You don’t have to use Theano directly if you are new to deep learning technology. You must use one of many popular Python projects that make Theano a lot easier to use for deep learning. The amount of Theano syntax made visible by the libraries varies.
• For Example, the Lasagne library provides convenience classes to create deep learning models but still expects you to know and make use of Theano syntax. This is good for beginners that already know or are willing to learn a little Theano as well.

What are Neural Networks?

• A neural network is a kind of machine learning that can model itself after the human brain. Basically, a neural network is a series of algorithms that allows the computer to learn by incorporating new data.
• As we know that the basic unit of the human brain is a neuron, so the essential building block of an artificial neural network is a perceptron which accomplishes simple signal processing, and these are then connected into a large mesh network.
• They can perform deep learning as well. Deep learning is a branch of Machine Learning that uses different types of neural networks. The algorithms used in it are inspired by the way our brain functions.

There are different types of Neural Networks which are discussed below:

Different Types of Neural Networks include

Feedforward Neural Network – Artificial Neuron :

• This is one of the simplest types of artificial neural networks. In this, the data moves in only one direction from the first tier onwards until it reaches the output node.
• There is no backpropagation and data moves in one direction only, unlike the other complex types of neural networks. A feedforward neural network may have a single layer or hidden layers..
• In this neural network, the sum of the products of the inputs and their weights are calculated and they are then fed to the output.

• Feedforward neural networks are utilized in technologies like face recognition and computer vision.

Recurrent Neural Network(RNN) :

• A Recurrent Neural Network is a type of artificial neural network in which the output of a particular layer is saved and then fed back to the next input. This predicts the outcome of the layer.
• The first layer is formed in the same way as it is in the feedforward network by calculating the sum of the weights and features. However, in the next layers, the real recurrent neural network process begins.
• From the next step, each node remembers some information that it had in the previous time step. The neural network, as usual, begins with front propagation but also remembers the information it may need to use later.
• If in any case, the prediction gets wrong, the system self-learns and improvises in making the right prediction during the backpropagation. This neural network is very effective in text-to-speech conversion technology.

Convolutional Neural Network :

• A CNN includes one or more than one convolutional layers. These layers are either completely interconnected or pooled.
• Before passing the result to the next layer, the convolutional layer applies a convolutional operation on the input. Due to this convolutional operation, the network can get deeper but with much fewer parameters.
• Due to this property, CNN shows very effective results in image and video recognition, natural language processing, and recommender systems.
• Applications of CNN include image analysis, recognition in agriculture where weather features are extracted from satellites and so on.

Multilayer Perceptron :

• A  multilayer perceptron works on three or more layers. It classifies data that cannot be separated linearly. It is a type of artificial neural network that is connected with each and every node.
• This neural network uses a nonlinear activation function (mainly hyperbolic tangent or logistic function).

Applications of multilayer perceptron include speech recognition and machine translation technologies.

Also, Read  Master the art of Artificial Intelligence

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” Stephen Hawking also raised concern over the rise of powerful artificial intelligence systems. He also stated that this could be the end of humanity “

Well, your viewpoint clearly depends upon how you take up the things. Whether you take it as an advancement of technology or as a curse for humanity. But you clearly need to clear your misconceptions before you make the final judgment about why the world is so much concern about the future of AI.

It is the human tendency that they become afraid of what they don’t understand. Fear has also been because of racism, homophobia, and other sources of discrimination. We, humans, are always surrounded by any kind of mystery. Some technological advancements were almost unrealistic beyond the expectations of people till they were discovered and that is why many times humans fail to believe that it literally happened. They have to understand that there are no ghosts in the machine.

There are the chances that in the year 2035, humanoid robots powered by artificial intelligence systems will become a part of everyday life. A well-known detective called Del Spooner hates robots because in a car accident the robot pulled him out and left a 12-year-old girl child to die. This is because the odds of her life were statistically low than of Spooner. You would have surely started thinking that is this the future of AI? Will these machines become so intelligent that they will start thinking up to that point where it will become more capable than humans? Remember, capable not powerful. No doubt that computers are more powerful at giving answers than the human brain. But are they more capable? This is what most of the people all around the world are worried about. But, don’t worry AI will not take over the world because the movies like I, Robot are just science fiction. Remember, fiction not reality. So, ultimately AI is a machine tool that is supporting various companies making their work easier. It is just creating a better customer experience.

However, at the same time, we need to consider a few different aspects too. Humans have been at the top of the food chain for a long time. But, now it can be said the things are changing, time is changing. We aren’t the physically strongest species on this earth because a gorilla can smash our head into the earth so easily. We aren’t the fastest too. A cheetah can easily run way faster than the fastest man living on the earth. In fact, we are also not the most durable species because cockroaches can survive in even extreme conditions. The only competitive edge that we have is our intellect. Our ability to communicate, interact, or make decisions set us apart from other species. Through our intellect, we can create our life better and dominate other species for our own needs, such as entertainment and food. We manipulate animals for our own selfish needs. Knowledge is power. But, human intellect is now also challenging. With the advancement in technology, Artificial Intelligence is becoming superior physically as well as intellectually than we humans.

But let us demystify that the most popular AI techniques, collectively known as machine learning. It allows a machine to learn a task without being programmed with proper instructions. Those machines are programmed with the help of a program or an algorithm. They are designed to become able to perform tasks with the available data. There are different methods to achieve this. Perhaps a good example of it is Google Deepmind’s artificial player. It has surpassed every human player in their performance of the game. It learns quickly and in a very different way than humans. It plays a number of games with itself that no human can ever play throughout his lifetime. By playing the same again and again, it has discovered all the situations and the best actions to take that no human has ever taken.

” Artificial Intelligence has reached its tipping point and will quickly make its way in our daily lives, whether we will realize it or not. “

Currently what we are seeing is just the beginning. So, who knows that it might happen the way it occurs in the movies. But in my opinion, probably not.

The success of modern AI is less due to the breakthrough in new techniques and more due to the vast amount of data and computational power available. However, just because AI can learn, it doesn’t mean it will learn all the aspects of human intelligence and outsmart humans. AI is able to learn and become more intelligent, but it doesn’t mean that it would be more successful.

Personally, I am more concerned about how humans will make use of AI. A machine learning algorithm is often thought of as the black boxes. We are obsessed more with the performance less with the understanding. Understanding the solution to any problem is important because we can evaluate if they are correct or not.

Final Point: Machine learning and artificial intelligence are just tools. They can be used in the right or wrong way, like every other tools and machine in the world. We should be concerned about how we will use, not about their intellect, power, and capability. Because until today, we are struggling with Alexa commands because half of the time it does not make the right action according to our instructions.

So, relax AI will not rule the world and take over the humans. Certainly not in this lifetime and future is unpredictable my friend!!

Mira Smith is a tech freak academic writer at an online assignment help to needy students.

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You might be devastating to apprehend that AI i.e. artificial intelligence can prepare anything and all from using the drones concerning the scope of medical commitments to helping attorneys to outfit for court. Certainly, AI encourages us each day and also every province of our times. For various organizations, AI can organize processes and enhance decision-making including advanced data interpretation. Automating everyday tasks can further free agents up to serve on bigger commercial designs that can drive your business ahead.

AI Automation In 2019

Nowadays, every one of us is utilizing AI in our day to day life circumstances in one form or another. We continue not only using it but further maintaining it, as well as acknowledging to artificial intelligence each second, flashes an hour, sufficient to state we are acknowledging 24 hours and 365 days. To some degree, we are practicing it undeviatingly or diffusely.

Start By Taking Small Steps at a time by appreciating all details

• Diving hastily within AI/automation might be terrifying, so preferably, start small. Taking one step at a time is going to help a lot than hastily reaching towards the goal. It is the key idea of thriving business growth.
• Begin by combining a chatbot within your website either you can also apply it by utilizing a medium that benefits to automating common jobs. By that process, you can deliberately get adapted to the AI/automation reconstruction instead of staying bewildered by it. So, make sure to keep in mind that taking small steps will help you grow in the long term rather than taking a massive step at a time.

” For The Success And Impact Company On Top Marketers Need AI Automation”

• Improvements in technology might be terrifying, however, they can additionally be very interesting. Concerning the maximum segment, these are pieces of equipment that are being created to assist you. So you can eventually excited regarding them, learn regarding them and conclude out how your company can profit from them.
• You need to appreciate each new step as every new step will bring with it a new sense of innovation. Therefore, the smartest way to welcome it is by getting excited about it. This way, you and company both will be able to benefit from it.

Know how to be a leader by enhancing your data support

• Knowing how AI and self-regulation are most beneficial in your particular business is essential to getting them to operate for you. This particular technology is on rage beyond many businesses and recognized as the subsequent big stuff for practically every enterprise.
• Staying forward of the competition and adopting the technology as it serves beneficial in your area can place you aside as a novelty for other people to follow. That’s a place all of us aspire to be in. Thus, make sure to comprehend how AI works and how can it benefit you in the process of being a leader.

” AI Automation Of  Benefits Data Support In the Long Business Run “

• AI is based on good information. Accordingly, you must assure you possess the foundation in position to control AI. You don’t require costly tools to make this, as there remain some outstanding data science methods which you can practice. Make sure to evacuate out any copies or other kinds of corrupt data.
• As soon as you get your support in place, you’ll be equipped to use the full power concerning the AI revolution. Thus, improving the data support is what you need to look for in the first place so that no one but you are going to get benefit in the long run.

Pay attention To Human labour While Emphasizing AI Security

• AI is normally regarded as a menace to workers — but various business administrators and business owners are bothered too. The administration has to spend massively in domains that AI doesn’t transcend at, such as analytical thinking, compassion, customer happiness, and creativity.
• Devices are only intended to substitute tedious, monotonous jobs, whereas a customized approach reflects on its own. Thus, paying attention to the human element is as important as paying attention to technology. hence, you must never overlook that particular factor. In the end, you are the one who going to get all the benefits.

” IT Matters in Information Safety in Human Labour With Security Methods “

• AI and automation are hitting up various day-to-day purposes, though that doesn’t indicate they can be utterly left on programmed. AI and automation need high amounts of monitoring concerning security warnings.
• Should AI systems outfit infected with malware, they can suddenly cause destruction beyond the IT support. Guarantee that all workers are fully knowledgeable of security sufficient methods to manage your company’s information safe. Thus, one must never neglect the importance of AI security. Paying attention to the details is what matters the most in this field.

Advantages of the requisite preparation – What Needs to be done

People are constantly looking forward to a new revolution these days, so trying out new ideas is extremely beneficial concerning the growth of the companies. Thus, if you are looking for effective solutions in your company, you need to get hold of AI and automation to a great extent.

Furthermore, attracting customers and getting organic traffic in your business is also possible these days by the help of automation which includes AI as the most important characteristic.

The way by which technology is advancing these days, we can expect huge and drastic modification in the technology industry within a short time.

Remember that a good result always comes from substantial effort. So, if you are on an outlook to enhance your company then you have to put additional effort. And, that is only possible with technology enhancements.

Wrapping Up

Now that you have already come to know about the process of preparation for AI automation, make sure to apply all the steps mentioned above so that you do not lag behind by any means.

Furthermore, you need to think precisely as AI is a vast area and is not just technology and science. So, thinking in different terms will help you a lot if you focus on the respective points carefully. Also, make sure not to neglect the security and protection perspectives.

                                                       — Monika Raisinghani is a professional and experienced article and web content writer from a quite long time. She has expertise in writing tech articles such as articles on freelancing. SEO, blogging, WordPress.

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These days, we all are using AI in our day to day life in one way or another. We are not only utilizing it but also managing it, as well as responding to artificial intelligence every seconds, minutes and hour, better to say we are responding 24 hours and 365 days. To some extent, we are using it directly and or indirectly.

Is Artificial Intelligence Changing Our Lives

We will explore how artificial intelligence can be beneficial for the sake of an individual’s life. We will also explore the importance of AI in business. Therefore, moving a bit ahead we are accepting that you are reading this blog post, and you know something about artificial intelligence in a practical way.

In short, Let us discuss how AI that is artificial intelligence is helping people in their lives.

• Artificial intelligence is automated repetitive tasks.
• It brings favorable changes in almost all types of business process systems.
• Hope you have heard the sentence “Let machines manage and do our works and play our roles”.
• AI is there, from production to recycling, infrastructure development to design transportation, and many different works, including engineering and communication.
• AI helps in personalized as well as contextual digital advertising.
• Nowadays, AI-based email marketing is possible.

To sum it up, we can say that AI is rapidly transforming our lives to new standards, new methods, new routines, and healthy habits, new ailments with new problems and solutions at the same time. Now it is your time. Are you ready for the big league of AI.

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