Artificial-intelligence Archives - Kenkarlo.com

The Future Is Here: How Artificial Intelligence Is Being Used Today

John Trogdon, Contributor — Mon, 02 Dec 2019 20:12:20 PST

If you got introduced into AI through Matrix for the first time, raise your hand! That movie was incredible. But when we revisit it from today’s point of view, it doesn’t seem that incredible. Machines haven’t taken our world yet, but they are definitely more present in our lives.

One thing that the movie predicted pretty well was our dependence on technology. Look at us today. We have personal voice-powered assistants to answer any question in a matter of seconds. Self-driving vehicles used to be a dream, but they are pretty much reality nowadays.

Artificial intelligence advancements took off so quickly that we’re still not aware of all that’s been achieved. This technology is still in its infancy, but it’s getting us far.

We no longer need to imagine a future driven by technology. It’s already here.

How AI Is Being Used Today

AI in Customer Support

Source: Vocalcom.com

You see two online stores that offer the same product for the same price. Which one will you choose? You’re most likely to opt for the one that has a better online reputation, which resulted from a high-quality customer support system. You’ll see what store is better at sending packages ASAP and solving any issues that the customers complain about. If the support system is active 24/7, it will make a huge difference.

Some of the best websites that sell products, services, or software rely on high-tech customer support systems. They still have representatives to answer the phone and write emails. However, chatbots work as AI customer assistants for answering simple questions.

If you’re checking out a custom essay writing service and you want to know about the deadline, price, or the status of your order, you’ll be able to use a 24/7 live chat to ask a question. In most cases, these simple questions are answered by a chatbot. Since AI is getting so sophisticated in a conversational context, the customers don’t even notice the difference. If a more complex issue arises, they are instantly referred to as a customer support representative.

This is a much quicker and more effective way of handling customer queries. On the other hand check Zypes IT Support in relation to computer networking and IT support.

AI in Marketing

Source: SocialMediaExplorer.com

How many times have you been in awe about Facebook or Google’s ads? It feels like your smartphone has been reading your mind or overhearing your conversations, so it suggests the exact type of product or service you wanted to check out.

No one is listening to your conversations.

AI-powered programs collect data. Whenever you use a website or search for something, they take note. Then, Facebook, Google, and other platforms use this data to serve an ad that really gets your interest. These in-depth insights enable them to develop more relevant marketing campaigns that hit all the right spots.

Let’s take Coca-Cola as an example. The company constantly analyzes social media content to see how consumers use its products and adjust its marketing strategy accordingly. We’re talking about a huge volume of data that cannot be collected and analyzed manually. Artificial intelligence does that. It delivers reports, and then marketing teams decide what action to take.

AI in Healthcare

Source: InternetOfBusiness.com

This is possibly the most useful advancement of AI that concerns an average person. AI healthcare is no longer science fiction. It’s real, and it’s transforming the way we stay healthy.

Smartwatches are part of the process. They measure vital signals and deliver feedback. They inspire us to stay active, but they will also inform us about raised blood pressure or irregular heart rates.

Diagnostics are also more effective thanks to AI. According to the American Cancer Society, false results of mammograms are very common. Artificial Intelligence enables faster and much more accurate review and translation of mammograms. Thus, it reduces the need for unneeded biopsy.

AI helps doctors and surgeons to make better decisions, too. Predictive analytics technology uses pattern recognition to compare a patient’s condition to a base of big data. It can identify the risk of developing a certain condition and suggest methods of treatment.

AI as a Personal Assistant

Source: FuturumResearch.com

“Hey Alexa, play Jimi Hendrix for me.”

Amazon’s Alexa and Apple’s Siri are so nice to talk to. They do what we ask with great speed and efficiency. It’s easier to ask Siri to open the calculator on a Mac than to look for the app through all that clutter you accumulated over years of use.

Voice assistants use a natural language user interface and voice queries to perform different tasks and answer questions. We haven’t seen all that they can do. This technology is already surprising, but it’s still in its early stages of development.

Smart Cars

Source: EconomicTimes.com

Autonomous vehicles make us feel like we’re already in the future. When are they going to float above the ground? Well, we still haven’t reached the Back to the Future stage, but we’ve certainly come far in the automotive industry.

Self-driving cars are already on the streets. Tesla is the leader in this technology. The manufacturer’s full self-driving feature is expected to be released soon.

An autonomous car is a connected robotic vehicle that senses its environments and navigates through traffic to get you where you’re headed. It requires little human input. Can we please get to the point in the future when driving licenses are no longer needed?

Self-driving cars bring us to another important implementation of AI in our daily lives: navigation. Even if we have a normal vehicle or we try to reach a place by public transport or walking, navigation software helps us get there through the shortest and quickest directions possible.

Home Robots

Do you remember The Jetsons? This cool cartoon made us dream about robots that would assist with cleaning and food preparation. Well, we have them today. Even if you don’t have a Roomba or an iRobot, you’ve certainly seen one. The AI vacuuming technology had humble beginnings. Today, many people can’t imagine their lives without it. Vacuuming may be a small task, but it means a lot when a device takes care of it on a daily basis. Vacuums aren’t the only robots in people’s homes. AI is also implemented in surveillance, pool cleaning, and kitchen utensils.

Drones

Source: DroneBelow.com

Did you know that Nicola Tesla was the father of drone technology? He had a vision for a radio-controlled boat, which would be navigated from a distance. This is where it all started.

Today, we have drones that film concerts, weddings, and music videos. That's the use that the general audience is most aware of. But not all of us know that drones are also used for delivering small items, surveilling dangerous areas, monitoring wildlife, law enforcement, and aerial combat. They are being used more than we assume.

That’s Not All!

It’s safe to say that artificial intelligence is part of everyone’s life, whether we’re aware of it or not. If you just saw an ad for a product you really wanted, it was delivered thanks to artificial intelligence. If you asked Siri to do something for you, you interacted with AI.

When we get deeper into the topic, we realize that more impressive implementations of AI are all around us. With its powerful capabilities for machine learning, predictions, and autonomous work, it’s driving our future in a direction we never thought possible.

Artificial intelligence is still not very advanced. The technology is in its early days, but what matters is that we have a strong foundation to build on. Truly intelligent systems will become more common in the future. They will be able to learn on their own, and they will improve every part of our lives, from research to healthcare to home maintenance.

Isn’t that the kind of future that we’d all like to live in?

Featured image via Finance.Yahoo.com

Revolutionary Impact of Machine Learning on Financial Sectors

John Morphy, Contributor — Thu, 17 Dec 2020 23:15:19 PST

Artificial Intelligence is becoming increasingly popular in the Finance Industry with recent advances in technology. Be it dealing with public relations or making an investment decision, AI sub-branch machine learning is creating better opportunities for financial institutions. With machine learning, Fintechs can make their financial operations smooth and secure and provide the customer with an effortless experience. According to Cision PR Newswire, the total revenue generated by integrating AI products in the Finance sector will be around $7,305 million US dollars.

How Much Machine Learning Is Useful?

Machine Learning (ML) helps in identifying various patterns in big data sets. By detecting relations between events and sequences, ML algorithms extract the relevant information hidden in raw data acquired from different sources. These patterns are hard to identify with human expertise since there exists a certain level of complexity, and the amount of work is enormous. Artificially intelligent systems can learn from a set of examples and perform predictions based on learning, which helps FinTech businesses to recognize potential opportunities ahead of time. Artificial Intelligence also utilizes biometric authentication technology to make customer verification procedures safe, reliable, and fast for Fintechs.

Machine Learning Applications in the Banking Industry

With the power of machine learning, Fintech companies operating in the banking sector can achieve better interest rates from ventures. According to research by Venture Tech on categories in Artificial Intelligence, machine learning technologies and applications dominate the finance sector by a fair margin. The fact that the banking and finance industry incorporates massive volumes of user data makes the problem challenging. Machine learning presents both a viable and reliable means to process and analyze the information through real-time algorithms with better turnaround times.

Optimized Loan Management

There were days when issuing a loan from the bank took long hours of verifications and lengthy procedures. With advances in the recent past, peer-to-peer lending over the internet made it possible for consumers to borrow loans over the internet much faster. But recently, interest rates have also gone sky-high for P2P lending that forces conventional banks and digital lenders to improve the market situation without adding any potential risks.

Machine learning beats conventional ways and means of loan accommodation by better assessing the borrower’s ability to pay back funds. This is possible by analyzing the user’s portfolio through a series of verification checks which involve machine learning techniques. A few factors which these algorithms take into account are social profiles, rent payments, or utility bills.

Conventional Loan Grants

Banks and financial institutions have been using antiquated methods to grant loans to borrowers. Banks review loan applications based on the following information: credit history, cash flow statements if you are an organization, previous bank statements, and proof of bank security. Based on these items, the bank allotted a particular credit score to the individual requesting the loan. The review process becomes tedious and time-taking when performed by a human workforce.

How does Artificial Intelligence Help?

AI-based algorithms assess the complex patterns involved in financial records to assign a risk score based on each parameter. An accurate risk score is computed by aggregating and analyzing data of thousands of users, which is then used as ground truth for further computations. Machine learning algorithms embedded in banking systems review the lender’s information based on pre-defined parameters, generate a risk score based on the analysis and approve the lender’s request if the score is below the threshold and vice versa.

Benefits and Takeaways

Credit scoring for loan grants is automated and easy to perform with intelligent algorithms and come with a couple of advantages which are:

More borrowers are attracted towards banks and lending platforms with better loan approvals
The overall risk of a fake lender is significantly mitigated, and an accurate credit score is assigned

Identity Theft Protection

Fintechs face many cybersecurity threats due to a large number of monetary operations involved in their business activities. Whether it is an already established enterprise or an emerging startup, cybercrime is always imminent. The aftermath of a data breach can cause irreparable damage to the financial organization that may take years to recover. According to the Identity Force, almost 14.4 million users were subjected to identity theft fraud in 2019, and the number is increasing with each passing day.

Machine Learning algorithms can detect suspicious transactions and track customer behavior to safeguard banking entities from money laundering and terror financing activities. By learning about specific risk factors and unusual behavior in transactions, machine learning solutions deter fraudulent activities through business platforms and financial organizations by taking into account the historical data of a client.

How Are These Solutions Helpful?

ML comes with a set of advantages when it comes to preventing online identity fraud in the banking sector, which is below:

Effective defense against identity theft
Detect and rate the risk level of larger transactions which is hard to achieve with manual checks
Pointing out hidden relations in data sets to track fraud
Reduced verification measures and automatic detection with real-time processing

Comply with Financing Rules and Regulations

When operating in the banking industry, financial entities and organizations have to follow stringent compliance practices. These obligations are purpose-built to guarantee transparency in transactions and verify customer identity. They not only tend the bank or Fintech business to perform Anti Money Laundering checks but also enforce them to establish a proper means of user identity verification. Fintechs use regulatory technology (RegTech) to meet compliance requirements chartered by global watchdogs like the European Union, FinCen, and FATF. Machine learning aids financial organizations like banks to monitor transactions and identify anomalies using automated systems.

How ML Helps in Compliance?

Banking entities can comply with regulatory requirements better since supervisory expectations using intelligent solutions are met in a good fashion.
Manual tasks performed by humans can be replaced with accurate procedures which help in meeting compliance
Non-compliance costs can be significantly reduced and avoided by saving business expenses.

To sum it all up, artificial intelligence and machine learning help banks, fintech, and the finance sector in optimizing loan approvals, better risk assessment to take down identity theft, and follow international rules and regulations for financial compliance.

4 Ways in Which Artificial Intelligence Rules Every Business

Chris Philips, Contributor — Sat, 12 Feb 2022 03:53:49 PST

This decade saw various innovations. Among all these new ideas, AI (Artificial Intelligence), benefitted the most. It made a great impact on the everyday lives of people. Between 2019-2021, most companies employed these AI-backed project management software. It helped them to create quality, hassle-free work. It is not false to say that 2022 will be the era of AI-based software. It is bound to bring a revolutionary change in the way people work and the kind of work they create. The best part about AI is error-free work, at a fast pace. Time is money for every business. Profits increase when each minute will get utilized to its full potential. The lives of professionals have changed for the better with this kind of software and rightly so. More and more businesses are looking for AI-based tools and services to improve their business efficacy.

Why is AI Software the Need of the Hour?

It is not false to say that the rules of the business world are constantly changing. Every business must adapt to the fast-changing world to be on the top. Many companies deal with a lot of clients and a variety of projects. Al-based tools and software will increase productivity and hassle-free work.

One of the most important parts of project governing software is time trackers for employers. It helps in achieving all the goals and deadlines, for each day. This tool has led many companies to achieve everyday efficiency, planning, and quality output. When AI advances, it reduces human effort and enables the workforce to produce efficient and rewarding tasks.

Al-Assistants

The introduction of Al Chatbots has smoothened the process of task management. Being an employer is usually difficult to manage tasks of every team. Something or the other might be amiss, and the project will be redundant. To save you from all these troubles, Al chatbotsfulfill all these responsibilities. It assigns tasks to each team member. Secondly, it gets status updates, tracks time, sets alarms off in case of security issues, etc. Several companies have employed these chatbots to reduce the everyday hassle. When Al-Assistants aid the process, employees have a better understanding of their everyday tasks. Apart from that, Chatbot also increases the website interactivity. Once you install a chatbot on your website, it can easily communicate with your visitors, solve their queries and share every detail with you.

Produces Error Free Results

Humans are bound to make mistakes. And Al-based softwares have your back! In every kind of project, you can use this to remove all errors. AI will track progress, compare it with your competitors, accurately predict the errors. Once the errors are in front of you, it will be easy to remedy them.

For example, IIf you are using any of the best time tracking app, you will find it easy to identify the weak spots of your employees. When you track their project performances, it will reduce the chances of underperformance. AI can easily demonstrate the weaknesses in every task. It even provides recommendations on what to do to improve the case.

Schedules Every Project Accurately

In 2020, most employees were working from home due to Covid. During this period, top companies saw a 35% decrease in meeting deadlines. Most projects were not completed on time. Companies were losing out on their trusted clients. What came to their aid? Time tracker for employees that has the best AI features.

With this technology, every second will get accounted for. The projects and the timelines will get established with 100% clarity. Employees know what they have to cover in a day. You can now sit back and relax! AI will monitor everything. At the end of the day, you will receive analyzed reports on the work done by each one of your team members.

Improves Productivity

The time tracker for employees is a great tool. When you use this, the AI sets every timeline for the projects that need more attention. Once the tracker is on, you can see what your employee is working on. You can automate these tasks, however, you want. It will help you understand which project requires more time. You can also assign more tasks to your employees, once you see that their timeline is empty. The clarity that AI provides in everyday work is phenomenal.

AI has changed the face of every business. It is not false to say that it will show positive growth for all companies in the coming years. If you are looking for such an AI-based project management software, choose KnowYourDay. With powerful and competent AI tools, your business will be the king of the market!

AI Dominance in Tech Future

Ken Karlo Staff, Staff — Sun, 29 Jan 2023 15:12:06 PST

Artificial Intelligence (AI) is already playing a major role in today's technology landscape and is poised to dominate it even further in the next few years. With advancements in machine learning, deep learning, and natural language processing, AI has the potential to change the way we live and work.

In the near future, AI will be integrated into virtually all aspects of our lives, from healthcare to finance, education to entertainment. AI-powered virtual assistants and chatbots are becoming increasingly common, while self-driving cars and smart homes are changing how we move and live. AI is also revolutionizing the way businesses operate, with intelligent systems helping companies to optimize their operations, improve customer service, and enhance their products and services.

One of the key drivers of AI's growth is the exponential increase in data and computing power. This enables researchers and engineers to build more advanced AI algorithms and models to process and analyze massive amounts of information in real time. These models can make complex decisions, recognize patterns and relationships in data, and even learn from their own experiences.

Another major factor in AI's growth is the increasing availability of high-quality data and labeling services. This data is used to train AI models, and the more data they have access to, the more accurate and effective they become. This is especially true in fields such as computer vision, where AI models can be trained on massive amounts of annotated images to develop deep learning algorithms that can accurately identify objects, scenes, and actions in real time.

One of the biggest challenges in the growth of AI is ensuring that it remains ethical and responsible. AI can potentially be used for malicious purposes, such as creating fake news and deep fakes, and there are also concerns about job displacement and the impact of AI on privacy and security. As AI becomes more widespread, it is important for researchers, policymakers, and technology companies to work together to develop standards and regulations that ensure that AI is used for the greater good.

Despite these challenges, the potential benefits of AI are enormous. AI has the potential to solve some of the world's biggest problems, from improving healthcare outcomes to reducing poverty and inequality. AI can also help to create new jobs and industries, and it has the potential to drive economic growth and innovation.

In conclusion, the next few years will be an exciting time for AI as it continues to transform the technology landscape and impact virtually all aspects of our lives. Whether you are an individual, a business, or a government, it is important to stay informed about the latest developments in AI and to be prepared to embrace this exciting technology as it continues to evolve and mature.

Tips for Learning Artificial Intelligence: A Comprehensive Guide for Beginners

Ken Karlo Staff, Staff — Sat, 10 Jun 2023 17:47:02 PST

Artificial Intelligence (AI) has emerged as a transformative technology, influencing various industries and revolutionizing our lives and work. Understanding this field can be rewarding as the demand for AI professionals continues to rise. Whether you are a novice or experienced, these directions will help you navigate the world of AI and enhance your learning journey.

Understanding the Basics of Artificial Intelligence

Before diving in-depth into AI, it's crucial to grasp the foundational concepts. Start by familiarizing yourself with AI's basic terminologies and principles, such as machine learning, neural networks, and natural language processing. Online courses, tutorials, and AI fundamentals books will provide a solid starting point.

Choosing the Right Learning Path

AI is a vast field with various domains and subfields. Take time to study the different branches of AI, such as robotics, computer vision, and natural language processing. This exploration will assist you to identify your interests and choose a learning path that aligns with your goals and aspirations.

Building a Strong Foundation in Mathematics and Statistics

Mathematics and statistics form the backbone of AI. To understand algorithms, models, and techniques used in AI, develop a strong understanding of linear algebra, calculus, probability, and statistics. Online courses and textbooks can aid your mathematical journey and provide the necessary foundation for AI learning.

Mastering Programming Languages and Tools

Proficiency in programming languages is essential for AI development. Programming languages like Python with libraries like TensorFlow and PyTorch, Python is widely used in the AI community. Additionally, familiarize yourself with languages like R and Julia, depending on your interests. Practice coding regularly to strengthen your programming skills.

Exploring Machine Learning and Deep Learning

Machine learning (ML) and deep learning (DL) are critical parts of AI. Study various ML algorithms such as linear regression, decision trees, and support vector machines. Delve into DL techniques like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Hands-on projects and online courses will provide practical exposure to ML and DL.

Emphasizing Practical Projects and Hands-on Experience

Theory alone won't suffice in AI learning. Undertake practical projects that allow you to implement AI concepts and algorithms. Start with small tasks and gradually work on complex ones. Kaggle competitions, open-source projects, and personal initiatives will help you gain valuable experience and showcase your skills.

Leveraging Online Resources and Communities

Take advantage of the wealth of online resources available for AI learning. MOOC platforms like Coursera and edX offer specialized AI courses from renowned universities. Websites like Medium, Towards Data Science, and other AI Blog that provide informative articles and tutorials. Engage with AI communities on platforms like GitHub and Stack Overflow to exchange knowledge and seek guidance.

Networking and Collaborating with AI Professionals

Building connections within the AI community is invaluable for your growth. Attend AI conferences, meetups, and workshops to interact with experts and fellow learners. Participate in online forums and social media groups dedicated to AI. Collaborating on projects and engaging in discussions will enhance your learning experience.

Staying Updated with the Latest Trends and Research

AI is a rapidly evolving field, with new developments and breakthroughs occurring frequently. Stay updated with the latest research papers, journals, and industry news. Follow influential AI researchers and thought leaders on social media. This continuous learning will inform you about emerging trends and enable you to stay ahead in the field.

Cultivating a Growth Mindset for AI Mastery

AI is a complex field that requires perseverance and a growth mindset. Embrace challenges, learn from failures, and stay motivated throughout your AI learning journey. Be open to continuous learning and adapting to new technologies and methodologies. With dedication and a growth mindset, you can master AI and contribute to its advancements.

In conclusion, learning artificial intelligence is an exciting and rewarding journey. By understanding the basics, choosing the right learning path, acquiring strong mathematical and programming skills, exploring ML and DL, emphasizing practical projects, leveraging online resources, networking, staying updated, and cultivating a growth mindset, you can become an AI expert. Embrace the challenges, stay persistent, and enjoy the process of unraveling the limitless possibilities of AI.

How Does AI Help to Improve Video Content Making for Your Website

Guest Post, Staff — Fri, 14 Jul 2023 10:05:50 PST

To stand out in today's competitive digital landscape, creating high-quality content is the only way. A unique, informative, and well-crafted piece of article has been proven to bring sound success to all online businesses. Meanwhile, making different types of videos to share on your site is also a must.

Artificial intelligence has been transforming various areas of our lives, and video editing is no exception. With technological advances and the increasing demand for high-quality content, video publishers have turned to AI to improve their workflows and create videos more efficiently. Let's see today how AI changed video editing.

The impact of AI on the video editing process

Artificial intelligence is transforming video production in unprecedented ways. With new AI-powered solutions, video producers can work more efficiently, reduce costs, and improve content quality.

One of the ways AI is changing video production is by using data analytics algorithms to identify patterns and trends in audience behavior. This allows video producers to create more relevant and personalized content that resonates with their audiences.

Another area where AI is making a significant impact in video production is video editing. AI algorithms can analyze video content and automatically detect the most interesting moments, allowing video producers to create more engaging and dynamic videos.

AI is also transforming video post-production. AI algorithms can help video editors reduce the time and costs associated with manual editing, allowing them to focus on creativity and storytelling.

How does AI help your video-making process

As AI continues to transform the video editing industry, more and more AI-powered tools are becoming available to video editors. We are going to introduce how AI video editing tools such as FlexClip help in your video editing workflow.

AI video content generation

The AI video generator will extract keywords from your prompt and automatically match stock photos and videos to generate a fancy video for you. If you are not fully satisfied with the result, you can even customize the video with millions of stock resources in the editor. The AI text-to-video feature will help you generate a variety of videos, such as promotional videos for YouTube, explainer videos, social media videos, and more.

AI Video Script Generator

Integrated with ChatGPT, the script generator can support almost all languages and help generate scripts in your wanted language, making it easy to make videos in different languages. The AI tool will analyze your prompt and use natural language processing algorithms to create a script that meets your needs.

If you are a small business owner who wants to create a script for a promo video, business presentation or social media post, you can do it all inside the editor.

AI Image Generator

If you are looking for good-quality photos for your video, an AI image maker will be a good choice. It helps you create avatars, illustrations, product photos, and other marketing materials. You can choose from various s such as 3D, Cartoon, Painting, and Realistic Photo.

Future trends for AI in video editing

AI has already significantly impacted video editing, but what does the future hold? One of the most exciting trends in AI-powered video editing is personalized video creation. AI can be used to analyze user information, such as her search history and her interests, and create personalized videos accordingly. Additionally, AI can also be used to create videos in real-time, allowing publishers to tailor videos as they are being created. Here are some perspectives on how AI could continue to transform video editing in the future:

More immersive augmented and virtual reality experiences

AI will continue to drive the evolution of augmented and virtual reality experiences, enabling the overlay of virtual elements in the real world with greater precision and realism. This will open up new opportunities in areas such as entertainment, advertising, education and training.

Video content personalization and recommendation

AI will continue to improve the ability to analyze user behavior and preferences to deliver highly personalized and relevant video content. This will allow for a more personalized and engaging video viewing experience for viewers.

Thus, the future of AI video processing is bright. AI will continue to revolutionize the way videos are created, edited and used, opening up exciting new opportunities and possibilities in the world of video processing.

Conclusion

Artificial intelligence has revolutionized video processing, bringing a wide range of capabilities and benefits that were previously unthinkable. AI has transformed the way we interact with video in the modern age and has pushed video processing to new heights, enabling greater quality, efficiency, and automation in video editing and classification. With the constant advancement of technology, AI will continue to play a critical role in the future of video processing, offering exciting and promising opportunities for this ever-evolving industry.