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Category: Artificial intelligence

  • What are the Risks associated with Artificial Intelligence ( AI)? How to mitigate them?

    What are the Risks associated with Artificial Intelligence ( AI)? How to mitigate them?

    Reading Time: 3 minutes

    What are the Risks Associated with Artificial Intelligence ( AI) – Artificial intelligence is trending today. We can see how the face of literally all the apps, websites, and even toys has been changing with AI. The software industry also has seen a new phase of exceptional quality standards with artificial intelligence.

    Everything is transforming with new trends. But excess of everything is bad. We must not ignore the fact that AI has its own set of risks that can endanger life too. 

    Here we will discuss, in short, how organizations can reap the benefits of new trends by leveraging AI and minimizing or mitigating the risks.

    Risks associated with AI

    Inadvertent Vulnerabilities. 

    AI is backed by a Large Language Model (LLM ) that has been made and trained with code of dubious origin, also known as garbage in, garbage out. Therefore such code often exposes us to harmful vulnerabilities.

    IP ownership complexity

    Ownership and right over property have always been an issue. AI is also exposed to the same as intellectual copyrights, property rights, and ownership with regard to AI-generated code are still under process.

    For example, AI-generated code based on open-source software fails to adhere to the license requirements of the respective software and, thus, is a copyright violation. 

    As such, many legal precedents and guidelines are framed to preserve the same and minimize the issue of IP ownership with AI generative coding.

    Code scalability and Maintainance

    AI-generated code is a result of immediate and quick resolution, but in the long term, it doesn’t work out. As such code is difficult to read and understand, it may become a hindrance when it comes to scalability and maintenance. Also, we cannot ignore the fact that AI code may not align with quality and design too.

    Certainly, there are risks associated with AI, but using it with caution and proper guidance can bring huge benefits. Developer productivity can increase multiple times if channelized the correct way. Here are a few guidelines that can help minimize the risk of Artificial intelligence –

    Take charge of senior developer.

    AI may take all of your burdens and help you write effective code as per your needs but never get down the seat of the Senior. Always treat AI as your junior and inculcate the ideology of skepticism. Be vigilant and try to find mistakes as it may become risks associated with AI.

    Review and Test

    Make it a priority to review the code consistently. AI generates codes, but they must not be taken for granted. Trust should be limited, and one must be alert and active while doing the reviews. Not only reviewing process must be done regularly, but testing should also be done before putting it to final use.

    Establish the limits

    Generative AI can produce things that are dangerous for society, and the pros may turn into cons for some, thus becoming a risk associated with AI. The limits need to be defined, and make proper arrangements. Users must feel the responsibility and make proper arrangements in the first place and not wait for the ill effects. The Hollywood movie MM3GAN, plot follows the eponymous artificially intelligent doll who develops self-awareness and becomes hostile toward anyone who comes between her and her human companion.

    Employee and machine relationship

    Ai is vulnerable, and giving AI to someone is like giving AK 47 to a child. You can very well feel the harm it can provide. Therefore AI must be handled by well-trained staff and a well-engineered software supply chain. The human resource must be capable and responsible enough to make use of AI generative codes as it may become an unintentional source of insecure code.

    Conclusion

    Undoubtedly, AI Ii today one of the invaluable and irreplaceable tools. Industries have seen a paradigm shift in the various platforms. We cannot ignore the cons but certainly make use of its advantages to its best. The judicious use of AI with a clear set of guidelines must be brought into circulation to avoid the risk associated with AI. Therefore to conclude, there must be a right balance between leveraging generative AI for productivity and certainly working to mitigate potential risks.

  • What is Metaverse ? 4 Pro tips to get ready for the Metaverse

    What is Metaverse ? 4 Pro tips to get ready for the Metaverse

    Reading Time: 3 minutes

    What is Metaverse? Metaverse is an amalgamation of various trending and advanced technologies like AR/VR, AI, 3D reconstruction, and more. It is an acquaintance with the new technology space that would eventually give you a new outlook on working with daily chores and making routine work easy.

    The world is buzzing with the word ‘Meta’. The futuristic concept is now the new reality. Meta verse is no longer an advanced technological concept. It is the present. It is the new reality in the technological universe. You can’t just ignore its strong presence in the world. Meta verse is truly omnipresent. 

    The term metaverse was first used in the year 1992 Sci-fi Novel “Snow Crash” by Neal Stephenson. Today in 2023 we can bet on its presence and importance in all varied industries. Its exceptional features and capabilities have a realm of intelligence that has the capacity to revolutionalize the gravity of the unachievable.

    The first takers on Metaverse

    Big industrial and technical giants like Roblox, Nike, and Adidas have already made their debut in Metaverse for achieving their marketing functions. The beautiful and mesmerizing TVCs give new insights into the world of new advancements. Virtual interactions with meta are trending and making people go awed by their abilities.

    This article will focus on the various ways that will tell you how to enter the Metaverse and make profits. 

    How to enter the Metaverse and make profits?

    Businesses study the business environment to analyze the new happening in the universe. They vigilantly observe the strength and weaknesses that give them the chance to shine bright with effective utilization of resources. Looking at the present trends it will take a mere span of 5-7 years for Metaverse to become the mainstream. Virtual reality is trending and the evolution of the new world is now not far away. 

    The 3d virtual space is now becoming the new foundation for businesses. The new stepping stones are being included in the form of experts and technological equipment. Here are a few factors that advocate the new technological universe of the metaverse.

    Choosing the Right Platform

    Similarly, Fortnite has also become a popular venue where people can attend virtual concerts by prominent celebrities like Travis Scott and Ariana Grande. You can choose the best platform that will help your business scale better in the Metaverse industry. 

    Take a name of industry and you can find the possibilities of the new arena technological advancement in the mainstream verticals. NFTs, cryptocurrencies, and Gaming are the few industries that have already taken the gear of virtual space with meta. Today, Roblox has over 47 Million active users that are witnessing the change in the Meta world. 

    Enhance Your Online Presence

    Your online presence plays a vital role if you want to be a player in the game of Metaverse. Your online existence will become the catalyst for making the best out of the new genre of meta. The ocean of metaverse is divine and the seabed will certainly have some treasures worth it. So make sure you outshine and make your place in the online segment through social media, websites, and e-commerce. The platform can give you a plethora of opportunities only if you dive in with your swimsuit of an online presence. 

    Choose the Right Target Audience

    Metaverse will make the world see the new version of virtual reality. If you are making use of metaverse to showcase your business and wish to align it to your business vision, you must choose your target audience. Your target audience will eventually help you decide the realm of meta to choose, will define your reach, and will help your e-commerce business to boost. For example, Nike’s TVC with meta verse makes you spellbound and is a perfect material to target the audience in the age bracket of 15- 35.

    What is the actual concept of the metaverse?

    Certainly, it works on the principle of making your users and audience engage and interact. The visual concepts promise an unparallel experience that makes you bet on the world of reality. You cannot escape the captivating effects it leaves that can place your product or service on the horizon of a spectacular arena.

    Your concepts can then actually make the customers come back and spend their limited resources to enjoy the view of the metaverse. This will in turn lead to retention and undoubtedly aim for new customers too. 

    Final Words

    Things always seem greener on the other side. As we spend time welcoming new beginnings in the technological universe, we cannot ignore the possibilities of its adverse effects. The future is meta, that is slowly evolving out, but remember not to forget the roots. The traditional methods never go wrong. Change is necessary but may invite problems too. The horizon of reality and virtual is slowly appearing in the real world. Contact our Web developers to make you ready and make the necessary accommodations to get yourself a safe flight in the land of meta. 

  • What is Artificial intelligence (AI)? How to Become an Artificial Intelligence Engineer?

    What is Artificial intelligence (AI)? How to Become an Artificial Intelligence Engineer?

    Reading Time: 3 minutes

    Artificial Intelligence (AI) is a computer system’s ability to mimic human behavior. Machines demonstrate this sort of intelligence, which can be compared to the natural intelligence that humans and animals demonstrate. 

     What does AI mean?

    Artificial intelligence is the machine’s response and ability to simulate and mimic human behavior in different situations. It is the science and engineering of building intelligent machines and computer programs. 

    Machines represent themselves with intelligence which is comparable to natural intelligence and take decisions based on those facts and learnings that is a characteristic of human and animal intelligence. Some of the common applications of AI are expert systems, natural language processing systems, speech recognition, and machine intelligence.

    How does AI work?

    As a toddler learns from new learnings and experiments, Ai learns from experiences. Artificial intelligence has its solution bank vested in past data and actions that may be assertive or negative. This solution bank along with the new information is used to make corrections and make a better version of itself by giving appropriate answers.

    As such to a great extent machine behaves human-like as both take decisions based on past information and experiences and simultaneously use fresh input commands.

    Who operates AI? What is AI Engineering?

    Artificial intelligence engineering is an emerging disciple that synchronizes principles from various fields of engineering, software development, computer science, and human-personified designs that replicate the Intelligence expected from humans. 

    What Does an AI Engineer Do?

    Ai works on the foundation base of AI models that make interpretations based on machine learning algorithms and deep learning neural networks. AI engineers primarily take the responsibility of building diverse AI applications like contextual advertising based on sentiment analysis, visual identification, and perception.

    AI engineer is a well-versed knowledgeable human that possesses a solid understanding of programming, software engineering, and data sciences. They apply different combinations of tools and techniques that perpetually process data and maintain the AI systems.

    What Does It Take To Become an AI Engineer?

    One can certainly have a promising career by opting for AI engineering by systematically following the stepping stones to success

    Obtain a Secondary School Diploma

    The most basic prerequisite to enter the field of artificial intelligence is to get a promising high school diploma with a specialization in a scientific discipline, such as chemistry, physics, or mathematics. Having Statistics as one of the objects is another. A strong foundation in scientific subjects helps you dive into the ocean of infinite knowledge smoothly.

    Complete a Bachelor’s Degree

    After the elementary phase, you need to get to your name a certified bachelor’s degree that is a 3 year integrated course. An engineering degree in information technology or computer science can also act as a connecting link to the professional artificial intelligence discipline. Your pervasive knowledge of data science and machine learning can fetch you a better career.

    Pursue a Master’s Degree

    After a good bachelor’s degree opt for a master’s to give your career a better chance. Not only it will increase your earning capacity but also a higher confidence. Master’s will allow you to peak in the details that would brush up your technical skills and entitle you to a specialized opportunity. An entrance like GATE will help you reserve a seat for the same.

     Employment opportunities.

    Technical knowledge with implied success in degree courses will help you specialize in the domain to rule the world. Now you would be eligible to apply for job positions in artificial intelligence (AI), deep learning, and machine learning. Amongst these, you can also earn the title of data scientist, AI expert, machine learning developer, ML engineer, robotics engineer, and data scientist. Such a promising educational background can help you earn the job role that can advance you on the path of transcending success.

    What does an AI Engineer actually do?

    As an AI engineer or an ML engineer, you will perform certain tasks that will include the development, testing, and deployment of AI models through programming algorithms like random forest, logistic regression, linear regression, and so on.

    The AI engineer has the following responsibilities:

    ? AI engineer primarily converts the machine learning models into application program interfaces (APIs).

    ? Build realistic AI models from scratch that will help the different departments of the organizations, product managers, and stakeholders understand what results they could gain from the models.

    ? Create the data ingestion and data transformation infrastructure

    ? Automate the infrastructure for data scientists.

    ? Perform statistical analysis and tune the results for the function of controlling and redirecting the efforts.

    ?     Set up and ensure AI development and production infrastructure is up to industry standards

    ? Be a good team player, and work with liaison with others.

    How to Build a Career in AI

    Learnings and education come a long way, but working with industry people gives you the right understanding and exposure to the real world.

    Today Artificial intelligence is used in the fields of healthcare, education, research, science and solves the easiest to complex queries in everyday life.

    How Can Sifars Help You?

    Sifars has the best resources that can help you land an Artificial Intelligence career, especially for professionals willing to know how to become an AI engineer. The exponential growth of Sifars with diverse projects has helped Sifars to be one of the most preferred AI companies with expertise in Python and data science. 

    Talk to our Experts now.

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