Releases AI Blueprints to Help Developers Quickly Deliver AI Applications

posted on March 2, 2022


The artificial intelligence (AI) and machine learning (ML) platform provider, an Intel subsidiary, has announced the availability of AI Blueprints. The new offering intends to let developers quickly produce AI apps with easy-to-use ML pipelines that can operate on any infrastructure.

What is In-Memory Computing?

posted on February 22, 2022


Learn more about in-memory computing → The hardware behind analog AI → Check out the AI hardware toolkit → Have you ever thought about how the apps and services you use every day rely on Artificial Intelligence – and how much energy that higher level computing requires? In this video, Nicole Saulnier […]

Machine Learning – What It Can Bring to Cyber Security?

posted on February 13, 2022


In 1959, Arthur Samuel derived the term of machine learning and defined it as a field of study that provides computers the ability to learn without the addition of explicit coding. Machine learning enables computers to think and learn from their surroundings using various data models as well as trial and error algorithms. The term ‘machine learning’ is self-explanatory as it provides the computer with the ability to think and make decisions by using various data training and testing algorithms, thus giving the ‘machines’ the ability of ‘learning’ and having control of driving conclusions based on the trained data. The addition to machine learning can work great wonders in cyber security.

Machine Learning: Definition and Types

Machine learning is a branch of artificial intelligence, which is a sophisticated technology that performs tasks without human help. The algorithms are designed to learn from experience and better perform at complex tasks. Netflix’s recommendation system is a good example here.

Types of Machine Learning

The programmers or data scientists choose the type of machine learning based on the data they are dealing with. The four types include supervised, unsupervised, semi-supervised, and reinforcement.

1. Supervised Learning

Algorithms in supervised machine learning are trained based on the labeled datasets which in turn classifies the data and derives the results accordingly. Supervised learning is task-driven.

Example: Filtering out spam emails.

Algorithms Used: Naive Bayes algorithm, support vector machine(SVM), etc. are some examples.

2. Unsupervised Learning

Datasets are not labeled in this one and the algorithm analyzes the datasets and looks for the presence of any pattern in them. Unsupervised learning is data-driven.

Example: Image recognition.

Algorithms Used: K-means clustering, probabilistic clustering, etc.

3. Semi-Supervised Learning

It is a balance between supervised and unsupervised machine learning algorithms and uses a mixture of both labeled and unlabeled data sets. The semi-supervised learning model explores its understanding of the data itself.

Example: Audio and video manipulation.

Algorithms Used: Self-trained naive Bayes algorithm (natural language processing).

4. Reinforcement Learning

Learns the environment on its own and doesn’t use the sampled datasets. Reinforcement machine learning algorithm operates on the trial and error method. Bad outcomes are rejected and the system uses the correct generated results for training.

Example: Policy creation.

Algorithms Used: Q-learning.

A Word on Sophia, the Robot

Activated in 2014, Sophia is the first humanoid robot. She is smart and can not only express facial expressions but can also use humor in her words. Sophia was first launched publicly in Texas. She was also granted citizenship by Saudi Arabia. In the not too distant future, robots will be able to perform daily regular activities in the same manner that humans do in real life.

Machine Learning and Cybersecurity: Enhancing Security

Machine language is imperative to realize the dream of a digital world, giving decision-making control to machines and providing ease to human beings from working on tardy tasks. Apart from just being a helper in daily work, machine learning can also provide benefits in the department of cybersecurity, which is the most present-day demand by the institutes working on confidential data. It is imperative for companies to have a secure system that protects their confidential records and prevents any attempts of hacks. Data breaches of, for example, company profiles can significantly damage their reputation, lead to financial loss and even fines. The introduction of machine learning in cyber security can help solve the security issue present in organizations today.

The future of cyber security lies in advanced technologies like machine learning. With machine learning, we can add security systems trained to recognize the patterns and improve the security systems based on the generated outcomes. Artificial intelligence can cover the loopholes and the hidden ambiguities in cybersecurity, with advancements like facial recognition, voice recognition, eye recognition, and fingerprint recognition, etc. Moreover, technologies like an identity verification system and know your customer kyc compliance can also provide security control on login checks to stop unauthorized users from accessing and corrupting the system.

Role of Identity Verification in Cybersecurity

The addition of identity verification can provide the security of the confidential information needed at the current moment. An identity verification system authenticates the user before giving them access to their system. Identity verification solutions authenticate the identity of customers during onboarding. The verification documents presented by the consumer are verified for their originality. The user’s identity is verified with biometric verification services like Facial recognition that can use 3D mapping and analyze the skin texture along with detecting the liveness of the user.


The chairman of Google, Eric Schmidt, says that the press and media have immensely covered the innovation of self-driving cars and robots whereas the real future of the company lies in machine learning. Machine learning gives computers the ability to become smarter and more personal.

To wind up the whole conversation, machine learning is important, not only for digitizing the world but also for enhancing the current cybersecurity precision and improving the safety protocols of organizations.

The post Machine Learning – What It Can Bring to Cyber Security? appeared first on SiteProNews.

How Artificial Intelligence Can Improve Data Privacy

posted on February 11, 2022


Artificial Intelligence (AI) is used for many tasks in the global digital domain. From customer service bots to virtual assistants, predictive analytics, HR portals, companion chatbots and numerous other applications, AI is literally everywhere around us in the global world.

The last 2 years have given us a much needed lesson on the development of the digital world. The COVID-19 pandemic has taught us that anything that we used to do in person before the pandemic can also be done digitally. Remote work was a distant possibility before the pandemic came, but a number of companies have taken their operations remote and have gone for a digitalized method of operations. From buying groceries to meeting new people, seeing the doctor and celebrating birthdays, almost everything is being managed online.

Now that the light at the end of the long COVID-19 tunnel is finally visible, it can be said that a number of things that we did during the pandemic are here to stay for long. With 5G deployment over the globe, the success of edge computing and the growth of IoT devices, it can easily be said that our lives in the future are bound to get a whole lot better.

Data Threats in a Highly Connected World

The idea of living in a connected world gives us immense passion and joy. But it also has to be said that there are certain data threats that companies and individuals may get to encounter due to the high connectivity in the world around us. There are constant threats looming over the privacy and security of our data, as almost everything is digital now and accessible to all.

The more digital our lives have become, the more we are exposed to the perils of the digital world. 2021 has seen a stark increase in data leaks and ransomware attacks around us today. The cyber world is prone to attacks, and our data seems to be on the radar.

Besides the misuse of data by brands, data breaches from external threat actors have also compromised the safety of sensitive customer information. It was recently found that sensitive customer data, including names, passwords, emails and numbers, were the most common data sources to be compromised in data breaches.

Companies around the world are working on ways they can follow to secure data, and AI has come up with a plausible solution. In this article, we take a look at how artificial intelligence can improve data privacy and the benefits it can provide for the future. Stick with us to find out how AI is determining the waves of change around us.

AI Holds the Future of Data Privacy

According to a recent study released by Gartner in 2019, almost 40 percent of all privacy technologies in the digital world will utilize AI by 2023. This figure and the rising trust of consumers in AI engines goes to prove that customers trust AI and the related algorithms for their work.

The use of AI and automated operations for securing data does make a lot of sense. The world is using such a massive amount of data today that it doesn’t make sense for us to manually update and secure this data. A manual approach will not only waste time but also make it difficult for organizations to improve data security measures.

Integrating AI-driven solutions in your algorithms can help update the security of your data stack and can also add an extra layer of privacy.

Companies can turn to AI algorithms to set up extra layers of protection against data breaches, leaks and attacks. The privacy that comes from AI protection is just what customers expect today and is something that can go a long way to improve customer trust in brands.

How AI Makes a Difference

One can only truly understand how AI makes a difference when they study the challenges in data protection and privacy faced by organizations around us. While the complications of data security and privacy vary across organizations, the two common challenges come in the form of user activity volume and variance in regulations around user data.

Organizations working globally are host to a number of regulations and industry standards, which are different in nature. AI can help organizations with all challenges, as the right AI algorithm can implement access control and multi-factor authentication to provide excellent services. The AI model can adapt to the behaviors shown by users and implement security measures based on that.

The best thing about the AI approach is that it isn’t invasive in nature. Companies and organizations have to be mindful of the security practices they implement because of the fine line between data security and non-compliance.

AI algorithms know how to segment data generated through e-commerce shopping sprees so that only the essential information is disclosed to providers. This means that the shipping company only gets your shipping information, and the payment gateway only gets your financial information needed to complete a transaction. Manually isolating this information from all providers during a typical transaction can be a hard task, but AI makes it possible through effortless operations.

AI Proving Its Worth

Artificial Intelligence algorithms can also help secure data present in different transactions beyond e-commerce. These algorithms make sure that all private data stored within servers comes with an expiration date, which can stop organizations from using data sources for ulterior motives long after the transaction has been performed and secured.

As is the trend with AI across the board, there are multiple applications for AI in data privacy and security. The technology has the potential to hand over the power and the control over data sources to people who actually own it. AI has raised the bar for data security and protection and has provided a pathway that organizations can follow in the time to come.

The post How Artificial Intelligence Can Improve Data Privacy appeared first on SiteProNews.

How Is Artificial Intelligence (AI) Impacting the Dental Billing Industry?

posted on February 9, 2022


Artificial intelligence (AI) is a sheer advancement in technology focused on developing high-end computerized applications and software – capable of helping perform critical operations efficiently with minimum human involvement. With the great capabilities of easing critical operations and speeding up things, AI has taken over almost every industry. And dental billing is yet another one of those industries being massively impacted by the rise of AI technology.

The two previous years have been majorly difficult for the dental industry, with most businesses shut down because of the prevailing pandemic. However, the threat and fear of Covid-19 spread have relatively downsized recently, and dental operations seem to open up. But at the same time, there’s a lot to handle for dental professionals, such as the pressure of recovering from the loss and dealing with an excessive number of patients.

This pressure or recovering the loss and handling an increased number of patients directly impacts the billing operations of a dental clinic. And it won’t be wrong if we say that artificial intelligence is rising at the right time and could have some amazingly positive impacts on the dental billing industry.

Here’s How AI Is Positively Impacting the Dental Billing Industry

There are several ways AI could prove to be a beneficial technology for dental billing. The popular among them may include:

AI-Based Quick Scheduling

Since AI is primarily focused on simplifying processes and minimizing human involvement, AI-Based quick scheduling could be a real win for dental clinics. Especially with an increased influx of patients post Covid-19 – quick and automated scheduling could really help streamline your dental practices.

The staff at your clinic wouldn’t have to spend hours taking patient calls and scheduling their appointments only to end up with several empty slots due to a last-minute cancellation. The automated scheduling feature would help patients to book appointments quickly, notify you about canceled slots in time and help organize those on the waiting lists – leaving no empty slots behind.

It would help keep both your patients satisfied and your cashflows streamlined.

AI-Based Easy Information Retrieval

Integrating your patient management software with AI technology could be of great use. Since AI can access, retrieve, and store everything from basic information to behavior of human interactions, it can easily retrieve important patient information and keep it stored in your system.

Your staff doesn’t have to spend hours fetching patient information; instead, it can be easily retrieved by your AI-based software in no time. This timely and accurate gathering of information can really speed up your billing process and support your practice’s accounting team in their collection efforts.

AI-Based Clinical Documentation

A very significant part of dental billing is clinical documentation. You cannot claim treatment at an insurance provider unless you’ve got a foolproof document explaining the entire treatment, analysis, and medication. Also, it’s a real hectic process for the dental professional to accurately jot down everything about the procedure. It takes a lot of time to do that – time that on the other hand could be utilized to treat another patient.

Thus, AI-based clinical documentation could be very beneficial. AI can listen to the entire treatment and analysis discussion between patient and doctor, record everything accurately and convert this data into clean documentation, which then can be easily used for submitting billing claims. This cannot only help take the workload off the dentists’ shoulders but also make the process highly efficient and speedy.

AI-Based Efficient Billing & Coding

Preparing dental bills is a critical task and requires a lot of updated information and focus. Imagine you could get your hands on something that’s capable of automatically creating 100% accurate billing claims in complete alignment with the updated coding policies each and every time! Sounds exciting, right?

Well, AI-integrated dental billing software can do just that without any hassle.

How to Make the Most of AI Technology & Enhance Your Dental Billing Practices?

Since AI has taken over the entire dental billing industry, all you’ve got to do is hire a dental billing service that utilizes an AI integrated dental billing software. It would solve all your dental billing problems and help streamline your billing with increased cashflows while almost eliminating accounts receivables aging on the backend.

The post How Is Artificial Intelligence (AI) Impacting the Dental Billing Industry? appeared first on SiteProNews.

Is AI Technology Your Friend?

posted on February 7, 2022


Technology has been evolving for ages, and every day, it has something new to offer. One such remarkable contribution is artificial intelligence. With the invention of artificial intelligence technology, work operations and other functions have gotten faster and easier. This revolutionary development aims to reduce the pressure on humans while some consider it a replacement, but that is improbable. It has become a resort for various organizations to provide an exquisite system and experience for their users. This virtual tool has been modifying lives and helps with information, data analysis, and other insights within a company.

Let Us Begin with the Definition of AI Technology

AI technology is considered a substitute for humans in providing solutions, creating opportunities, and accomplishing tasks. These machines are programmed to respond with human capacities for contemplation and judgment. AI helps deal with situations intentionally and with intelligence. Some define it as an interdisciplinary science with multiple approaches.

Norvig and Russell, the authors of ‘Artificial Intelligence: A Modern Approach’ explore artificial intelligence based on factors such as thinking and acting both rationally and humanly. It determines the behavioral factor and thought process confined within the AI technology.

AIs are often known for replacing humans, as mentioned above, but in reality, artificial intelligence technology is programmed to make decisions based on incorporated data. Their algorithms work differently from mechanical and passive machines because of sensors, digital data, and other programmed inputs. With its tremendous sophistication like storage capacities, processing velocity, and analyzing performance, AI has never failed to stun its audience.

Industries Using AI Technology

Undoubtedly, every organization and human being is exposed to artificial intelligence at least once in their everyday life. This could be through their smartphones, websites, or the materials they use. Artificial intelligence has swooped up various genres, niches, and startups, from cars to games to home appliances. According to Stanford University’s AI 100 Index of AI startups, the number of AI startups has multiplied fourteen times since 2000.

Here are a few industries that are popularly known to have partnered with artificial intelligence to elevate their business:


Tesla’s self-driving cars are incorporated with an AI mechanism that can signify the malfunctioning of certain parts, show directions, and provide emergency protocols. The car being able to understand the road and drive on its own is a known feature of AI technology.


The online market is undoubtedly a competitive ground, and understanding consumer behavioral patterns plays a significant role in marketing strategy and end-user satisfaction. Applications and websites of online retail use AI to observe and analyze their customers. This includes suggestions based on customers’ search algorithms and recommendations to related products. AI also powers the chatbots that pop up while you enter a website to answer the customer’s interest and queries. AI is used as a tool to enhance user experience and maintain customer satisfaction.


AI has indeed helped diagnose and identify various intense health issues and medical conditions. It helps sort out medical imaging, drug processing, and conduct machine surgery. Artificial Intelligence for Drug Discovery (AIDD) uses AI to understand the relationship between drugs and the disease at a system level. AI is also used as a healthcare tool to derive meaning from a treatment plan, analyze patient records, suggest potential treatment and other intellectual programmed processes.


Like e-commerce, AI helps the entertainment applications suggest related articles, videos, and shows based on the end user’s watchlist or search engine. Artificial intelligence is also used to add digital effects and editing, create creative content, and speed up production in the film industry.


A significant contribution of AI technology is its usage in building an encrypted platform for data, information, and personalization. Face or fingerprint recognition, passcode protection, scanning, and access cards are some of the latest forms of security used by access control software.

While these are some industries that widely use artificial intelligence, there are more like Food technology, travel, real estate, gaming industry, beauty industry, field service management, etc. It is safer to say that, in the present century, no industry, including start-ups, can expand or survive the market demand without the help of AI technology. There are famous companies like Microsoft, Google, Apple, and more that cannot move an inch without AI technology.

What Are Some of the Prominent Features Offered by AI Technology?

Facial Recognition

AI recognizes the user’s face with biometric mapping. It is used in mobile phones instead of passcodes, and law agencies use surveillance technology in CCTV cameras.

Data Analysis

When two or more devices are connected or two software synced, AI collects similar data, analyses, and organizes required information. It understands processes based on previous experiences and gathers information from sources into its data-storage medium.


These AI features are found in almost every service-based website. It works great for customer service and other automated functions. It understands commands and provides suggestions to users as required.


Storage space is an essential component for any business. AI has been upgraded to help with cloud computing. It helps the organizations work more efficiently and with a proper strategy by having all their data automatically updated into the cloud and accessed around the clock.


AI is also an efficient personal assistant that can help you find anything in the digital world. With voice assistants like Siri, Google, and Alexa, everything from scheduling on our calendars, navigation, lights, music, and information has become automated around us. It helps save time and effort as opposed to being done manually.

From all of the above testimonials and features, there are still speculations about AI technology having the power to replace humans. However, creation can never replace or overpower the creator. The technology works based on its programming and attained data. It has sustained a more balanced and smoother life unless exploited for personal gains by the corporate industry.

To answer the question, ‘Is AI technology your friend?’ YES! AI technology has supported us in various forms in our daily lives to make it easier and nothing less. With its extended features and growing power, AI technology has developed an intellectual and intelligent platform for significant deployments like finance, healthcare, national organizations, transportation, etc. It helps with generating a substantial economy and livelihood for its users. It has resolved major complications, issues, and implications impossible for humans. It is, without a doubt, an influential and one of the most used human innovations.

The post Is AI Technology Your Friend? appeared first on SiteProNews.

Survey: Zero Trust, AI/ML, Serverless Computing in Top-3 Cloud Technologies

posted on February 7, 2022


Zero trust, artificial intelligence (AI)/machine learning (ML), and serverless computing are the top three cloud-related technologies that enterprises aim to employ in the next two years. It’s one of the outcomes of a study published by the CSA and commissioned by CyberRes.