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    31Jan, 2023
    Artificial Intelligence May Actually Help Humanize Financial Services

    The financial services sector has long been criticized as being insulated, elitist, and discriminatory. Will artificial intelligence finally open up and “democratize” this industry? It’s likely, and will happen a number of ways – by empowering customers, by opening up services to underserved communities, and by increasing the breadth of capabilities companies can offer.

    While still in the minority, a growing number of financial services executives are bringing in AI as a part of their customer experiences and operations. About half of 500 executives (48%) responding to a survey conducted by Economist Impact and SAS in March 2022 identified advanced data analytics as among the most important technologies to harness, and 34% specifically cited AI and machine learning as their paths to the future.

    Similarly, a study from Deloitte AI Institute confirms that 32% of financial services executives indicate their organizations use AI. “It’s undeniable that AI is the future of financial services,” the study’s authors state, adding that while “many FinTechs have embraced AI, the financial services industry is largely in the early stages of AI adoption.”

    AI and machine learning introduce great complexities, and many financial services companies are still assessing where and how to invest in these approaches. “There are a lot of moving parts with AI and machine learning,” says Michael Upton, chief digital officer at First Tech Federal Credit Union, which exclusively services Microsoft, Amazon, Intel, Hewlett-Packard, and employees of other technology firms. Once put in place, however, these technologies have a critical role to play in the emerging digital enterprise. “Covid really accelerated digital, and the industry did a good job in customers’ needs from a tactical and transactional perspective. But I think industrywide, we lacked some engagement, we lacked some warmth, we lacked some relevance, particularly through digital channel. We need to re-instate humanization into digital, and AI is a tool that’s going to help us get there. Combined with in-person contact, AI can help deliver more personalized, more relevant, services in tune with what customers need at a particular moment.”

    First Tech Federal sees greatly personalized interactions and services to customers as the main goal of its own expanding AI efforts. “Using AI and ML, we believe we will put ourselves in the best position to help each individual member meet their needs at any point in time,” says Upton. “We’re looking to be relevant when the member needs us to be relevant, no matter which touchpoint they so choose. We’re looking to leverage this into personalization and relevant engagement, whether it be a sales engagement, a servicing engagement, or a retention engagement.”

    While AI promises to open up the levels of services financial institutions can deliver, there are challenges that need to be overcome, including skewed expectations, skills issues, and implementation issues. “Talent scarcity is a key gating factor,’ says Bjorn Austraat, senior vice president and head of AI acceleration at Truist. “This is true for specialized data science resources but – importantly – also for all-important resources and leaders that can speak to both technical and business stakeholders,’ he explains. This includes those “that are fluent in data science and executive-speak. An over-reliance on purely technical skills can lead to disjointed science experiments without a clear business return and an excessive focus on business outcomes — especially early on in sometimes lengthy data science and model ops lifecycles — can squelch disruptive innovation.”

    Barriers to achieving success with AI are common across all sectors, says Charlene Coleman, senior managing partner and head of the modern finance sector of Launch Consulting Group. But financial services brings in its own sets of issues. “Deploying AI to democratize the financial system requires bold, human-centered leadership willing to invest in technology and talent. Next, institutions lacking an AI strategy will not move beyond the experimental phase. Most do not have a centralized data backbone that supports analysis and intelligent recommendations. Finally, they must adopt a new operating model that moves away from functional silos to enable speed and agility.”

    Artificial intelligence “can help redefine and restore personalized experiences that build trust for consumers and small business owners,” says Coleman. “Assuming informed consent, an example is AI-powered personalized conversational interfaces and biometric profiles that have shown promise in helping vulnerable consumers avoid debt traps fueled by late fees and inflexible payment schedules.”

    This means more than building models to support algorithms, no matter how well designed. “People often assume ‘we just need a great model to solve our problem,’” says Austraat. “However, the model is only five percent of the solution. The integration, instrumentation, validation, ongoing monitoring and ultimately dollarization are the other 95%.” The key is to “think of the model as the race car engine,” he adds. “You’ll need a lot of other things to win the race: gas, shocks, tires, a pit crew, and a driver.”

    The key to AI success in financial services is to sell or promote AI adoption to the business. “I use a simple phrase to accelerate this alignment: ‘Whose life is going to get better, by how much and how do we know that?’” says Austraat. “If you can truly answer that question, you have covered all the bases from framing, to deployment, to value proposition and value perception and realization, to political air cover. Explainability trumps model performance in financial services. In particularly sensitive areas such as credit underwriting, banks and other institutions must balance the desire to innovate and use cutting-edge AI with the reasonable regulatory expectations around explainability, robustness and fairness. The hottest solution doesn’t always win, especially if it’s too much of a black box.”

    This requires a much more holistic view of AI, beyond the lab or data science team. “You can’t just let the data scientists do their thing,” Austraat says. “A holistic teaming approach centered around cross-functional pods is critical to engage legal, risk, data engineering, implementation engineering, operations, support and business leaders early and often to create sustainable success.”

    In the end, technologies such as AI and ML “are simply tools,” says Upton. ‘You need to have a very clear business strategy, a very good go-to-market strategy, and a very good operational plan to leverage those tools to create the experiences and drive business value. People tend to get enamored with the tool or the tech, but they’re not really clear on their use case for the value of the investment. You can buy all the coolest tools in the world, but if you don’t account for the change management, the adoption, the helping the organization leading into the why and how to use these tools to drive out the things that matter, you’re just going to have a lot of expensive tools by themselves.”

    Resource : https://www.forbes.com/sites/joemckendrick/2023/01/28/artificial-intelligence-may-actually-help-humanize-financial-services/?sh=4d0cc4c1d9f5

    30Jan, 2023
    Top 5 technology trends to watch out in 2023

    With technology being a great leveler, the world has become flat and offers equal opportunities to all. Whether you are someone born in the Bay area or a remote village in Africa, your opportunity to create an impact and to make a difference in the world is the same. 

    In India, for instance, the government is adopting technology readily with initiatives like JAM (Jan Dhan-Adhaar-Mobile) trinity and offering a level playing field to all its citizens. Close to 47% of India’s GDP gets transacted on this platform and my recent interaction with a local tea seller showcases how this tech adoption is making a difference at the grassroots.  

    I curiously asked this young man from Kerala who operates his tea shop single-handedly, the reason to adopt UPI payments. He explained how it saves his time in giving change to customers after each transaction and that now he doesn’t need to go to the bank to deposit cash.

    On the other hand, the bank to which his UPI transactions are linked now knows that this young man is generating INR 30,000/- per working day. Therefore, their risk profiling AI software is now able to analyze this data and recommend him a loan for his business expansion with better certainty of loan repayment. This was not possible 3 years ago. This is the beauty of what is happening around us!

    In the past few years, India has undergone significant economic expansion, with the adoption of new technology such as AI, Robotics, IoT, Blockchain, Cybersecurity, and Big data. In this article, I would like to discuss few technology trends that are gaining significant mindshare and will continue to do so in 2023.

    Web 3.0: Web 1.0 was “Read-Only”, Web 2.0 is “Read-Write”, and you can imagine Web 3.0 as “Read-Write and Execute”.  This is the next level of internet where the internet will be more interactive and immersive and will be led by user generated content and interaction. For example, to imagine next level of AI in Web 3.0 – AI would be used for natural language processing, to recognize your emotions and facial expressions to render relevant content. This means, when you frown while watching an Instagram reel, it automatically moves to the next genre when you swipe up. This space would therefore be great for enterprises to present relevant content to their users. 

    The way we consume gaming and financial instruments, “DeFi” (Decentralized Finance) will also change big time. Several Web 3.0 apps are gaining popularity and are worth mentioning. For example, “Brave” browser that allows one to block all ads and evade trackers while rewarding good content through “BAT” (Basic Attention Token), it could change the way people look at digital ads. Also, the widespread use of “NFT” (Non-Fungible Token) will help the content creators’ music, video and photo content get better recognition and revenue for their work by ensuring traceable ownership and minimizing the middlemen in between.

    Cybersecurity: The travel and tourism industry is embracing emerging technologies to redefine products, services, and consumer experiences, but doing so makes their cyber ecosystems more exposed to security risks as these technologies handle massive volume of financial transactions and priceless customer data. Travel firms are, therefore, a prime target for cyber-crime. Ransomware and phishing attacks are two of the major concerns in this sector. Due to the current dependence on data, organizations are also at risk from human mistakes brought on by their own staff. To keep the data secure, organizations must invest in cybersecurity as well as a variety of hardware and software solutions. It is evident that a step change is needed, and a more comprehensive, business-driven, and risk-based approach to building cybersecurity capability is going to be the norm in the coming years.

    Metaverse: Metaverse travel has the potential to dramatically revolutionize how people engage with the travel industry, imagine digitally touring a hotel from the comfort of your home on the other side of the world. By creating three-dimensional replicas of real locations, metaverse travel will create new experiences and new possibilities for people to choose hotels and activities. In 2023, metaverse will emerge as a grand concept, that will be based on a single interconnected ecosystem, like the internet. Soon, autonomous metaverse platforms with different economies and the capacity to transport assets and things between worlds may become possible. There has been a lot of conversations around the governance, so things are going to get tricky, as there would be no single controller. There will be a shift in viewpoint, and it will inevitably give rise to new travel patterns and an increasing demand for virtual reality and metaverse travel services. As several companies continue to compete for this space, the future is surely going to look very different, especially with the possibility of creating multiple identities in the metaverse.

    Cloud:  In recent years, the travel sector has seen an increasing interest in cloud computing investments. However, there are still several issues that are delaying the rate of cloud adoption. But as client expectations rise and the travel sector’s technological environment becomes more dynamic, a lot of travel organizations have come to understand the benefits of cloud computing. In the travel tech industry, we deal with a lot of personal data. Through growing computational power and capacity of the cloud, data storage becomes simpler thereby enabling us to provide personalized travel experiences.

    Wearables and IoT: The Internet of Things (IoT) is one of the most significant and potent emerging technology topics that must be understood and explored by individuals and businesses. According to me, this is merely the tip of the iceberg, as we will see additional wearables with cutting-edge capabilities soon. For instance, non-intrusive wearables for HbA1C monitoring are very close to reality, which would benefit diabetic patients around the globe to monitor and act in real-time. IoT devices are also bringing transformation in many industries, including agriculture. Now there are devices that can tell a farmer the exact amount of water needed per square inch of the farming land. These devices make it possible to identify the crops infested by pests and then, separately treat only the affected yield, instead of the entire crop. Such devices are not only feature-rich but are also the primary driving force behind the Internet of Things.

    Many of the bigger cross-industry breakthroughs were anticipated in the upcoming year and beyond are likely to be built on the patterns indicated above. Furthermore, it is gaining ground and is probably going to be precursors to the technology that will define the overall course of human technology.

    Resource : https://timesofindia.indiatimes.com/blogs/voices/top-5-technology-trends-to-watch-out-in-2023/

    30Jan, 2023
    Security Technologies

    The following article, Security Technologies, provides you with an outline of the most common technologies used in security. We all aware of the pace with which the internet is growing. For everything that we had to travel or to stay in long queues for longer, the Internet had made them easy for us, and now almost all of the things are available at our fingertips. In simple words, we can say that it is not easy to imagine a single day without the internet. It is known to everyone that everything had two sides: pros and cons, and the same applies to the Internet as well. With the fast increase in Internet usage, the attacks happening in organizations have also been increased. For contemporary business or organizations, a new challenge has been evolved that protects their body from cyber attacks. Here we will be discussing the technologies that are available to protect the organizations from cyber attacks so that the flow of their operations remains smooth.

    Security Technologies

    In order to protect organizations from cyber attacks, several technologies are available to fight against them.

    Below are some of the common technologies that are used very often in organizations.

    1. Data Loss Prevention

    Data Loss Prevention may be defined as the technology concerned with validating if the data sent out from the organization is sensitive enough to hinder the business. Usually, the data are sent through emails and under this technology, the mails have been monitored to ensure that it is not carrying the confidential data out from the organization. By virtue of this technology, all the emails and their attachments are monitored closely to ensure that all the data sent outside the organization are appropriate and not something confidential.

    2. Intrusion Detection System

    An intrusion Detection System(IDS) can be defined as the technology which monitors all the traffic that enters the organization to ensure that those are not malicious. It can also be considered a tool responsible for checking the traffic and raising the alert if the traffic is found malicious or appears to be originated from the untrusted source. This technology is mainly concerned with giving a close view of the traffic to ensure that it is something that the organization should allow to get in.

    3. Intrusion Prevention System

    Intrusion Prevention System(IPS) may be defined as the technology or tool that takes action against the traffic that is labelled malicious by the IDS. Usually, the IPS drops the packet entering into the system once it is considered untrusted. It is the main protection point that makes sure that malicious traffic should not enter into the organization’s network. It is IPS that makes sure that all the traffic that enters the system should comply with the policies that are defined by the organizations so that it should not affect the working of the systems in any way.

    4. Security Incident and Event Management

    It is also known as SIEM. It is mainly concerned with invoking the alert once anything unusual is found on the organization’s network. Several tools can be integrated into SIEM to make sure that anything that is malicious must generate the alert so that the security team could take action against it and keep the internal environment protected. It also keeps track of the logs that are generated while ensuring the security of the network. It can also be considered as the central system that has other tools attached to it. All the tools work as peers that protect the network in their own way.

    5. Firewall

    The firewall works as the first layer of protection of any system or network. There are various types of Firewalls based on their role. In order to protect the internet, network firewalls are used, while in order to protect the web application, there are web application firewalls. This technology has been developed to ensure that the internal network is protected from unusual traffic, and nothing malicious could make it to the internal network. The technology ensures that the ports should be open only for the appropriate communication, and the untrusted data should not hit the system anyhow. The firewall could either allow the traffic to enter or could configure the port filtration to make sure that all the traffic passes through it must be useful for the service running on any particular port,

    6. Antivirus

    Antivirus is another technology used in cybersecurity. As its name states, it protects the system from the virus. The virus is nothing but the malicious code that makes the host or network to take unexpected actions. It is deployed in the network and can also be used as endpoint protection. All the devices connected to the network can have an antivirus installed in them to protect themselves from virus attacks. In order to detect whether the particular file is a virus, the antivirus used the signatures present in the repository of that antivirus. The latest antivirus has the capability to leverage the anomalies to detect the virus and take action against it.

    Conclusion

    The risk associated with the internet has been grown parallelly to its usage. The architecture of the web application or the network these days is supposed to be complex in order to satisfy the business needs, and with the high complexity, it also increases the chance of the system being breached. In order to ensure that the system is protected from any of the security mishappenings, the organization is expected to take all the measures seriously and use the technologies to defend their systems. On the other hand, the complex or high level of security breaches has also given birth to efficient cybersecurity technologies or tools that are ample power to ensure the system’s safety. Those tools could be leveraged to protect the system, keep the business flow smoothly and help the business focus on its operations rather than remaining concerned about its security.

    Resource : https://www.educba.com/security-technologies/

    27Jan, 2023
    What are the Common Pain Points of Python Programming?

    The common pain points of Python programming language can be overwhelming at times

    Both desktop and web-based apps may be created using the programming language Python. It is a general-purpose, high-level, open-source programming language that is mostly used for data analysis, artificial intelligence, and backend web development. Although it is one of the most approachable and simple languages to learn, those studying it for the first time may encounter certain difficulties.

    Beginners sometimes run across minor obstacles when using Python, which gives them the impression that the language is difficult. The typical problems with Python that new users typically run across are:

    Setting up

    It’s challenging to decide between pip and pipenv were given the abundance of package managers. Understanding the benefits of using virtualenv.

    Indentation

    You could find it completely absurd to have stringent indentation restrictions in a language’s grammar if you’re coming from C/C++ or Java. But with time, you’ll begin to value it in a long term.

    Pythonic Way

    If you’re used to writing code in C/C++, particularly loops, you can encounter a lot of resistance from Python programmers.

     Difficult to Master

    Don’t be deceived by Python’s easy syntax; you will always learn something new. Easy to learn, difficult to master.

    Python is one of the most solid and powerful programming languages, yet it is also quite “simple to learn.” The majority of developers and companies now use Python as their main language. We intend to assist developers like you in resolving all the significant Python issues that they encounter.

    Resource: https://www.analyticsinsight.net/what-are-the-common-pain-points-of-python-programming/

    27Jan, 2023
    Top 10 Cybersecurity Trends That Will Dominate in 2023

    Top 10 Cybersecurity Trends for 2023: Stay Ahead of the Curve and Protect Your Business

    To stay protected, businesses and individuals must stay current on the latest developments in the rapidly evolving field of cybersecurity. As a result of the widespread adoption of computerized systems by corporations, organizations, and even governments to manage their daily operations as a result of the Digital Revolution, cybersecurity has become a top priority to protect data from various online attacks and unauthorized access. As news of data breaches, ransomware, and hacks becomes the norm, it is implied that there will be a parallel shift in cybersecurity trends.

    Here are the top 10 cybersecurity trends that will dominate in 2023:

    1. Data Breaches: Organizations all over the world will continue to prioritize data. Protecting digital data is the main objective right today, whether it’s for an individual or a business. Any tiny defect or weakness in your computer’s software or browser could allow hackers access to your sensitive data.
    2. Rise of Automotive Hacking: Today’s vehicles are loaded with automated software that enables smooth connectivity for drivers in areas like airbags, cruise control, door locks, and advanced driver aid systems. These vehicles use Bluetooth and Wi-Fi to connect, which exposes them to several security flaws or hacker threats. With more automated vehicles on the road in 2023, it’s anticipated that attempts to take control of them or listen in on conversations will increase.
    3. Cloud security: The need to secure these assets grows as more businesses move their data and applications to the cloud. This entails making sure that data is safeguarded both during transit and while it is stored, as well as that cloud infrastructure is properly configured to restrict access.
    4. Artificial intelligence and machine learning: Through the use of these technologies, cybersecurity tools and systems like intrusion detection and response, threat hunting, and incident response are being made more effective.
    5. Internet of Things: Securing those devices becomes more crucial as more of them are connected to the internet. This covers everything from industrial control systems to home security cameras.
    6. Cyber insurance: Organizations are turning to cyber insurance as a way to guard themselves against monetary losses as the frequency and severity of cyber-attacks continue to rise.
    7. Email security: Email is still one of the most popular methods for cyberattacks, so businesses must put in place strong email security protocols to guard against phishing, malware, and other dangers.
    8. Identity and access management: Protecting against cyber-attacks requires making sure that only authorized users have access to sensitive data and systems. This entails putting in place multi-factor authentication and stringent access controls.
    9. Remote work: Organizations must make sure that their networks and data are properly secured as more employees work remotely. This includes implementing efficient endpoint security and granting secure access to corporate resources.
    10. Compliance and regulations: Organizations must make sure they adhere to several laws and standards, including the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR).

    Conclusion: These are a few of the most important cybersecurity trends that 2023 is predicted to bring about. Organizations will undoubtedly be more hesitant to increase their security measures as a result of these cybersecurity trends. This year, it’s anticipated that businesses will spend over $100 billion on asset protection alone. It would be a wise decision to begin their learning curve in cybersecurity today so that they can become authorities for tomorrow, as infrastructure security is now a significant component of almost every organization.

    Resource : https://www.analyticsinsight.net/top-10-cybersecurity-trends-that-will-dominate-in-2023/

    24Jan, 2023
    Beginner’s Guide to Neural Networks in Artificial Intelligence

    Beginner’s Guide to Neural Networks in the Field of Artificial Intelligence

    As we go through the topic of artificial intelligence we often come across several topics like neural networks. Neural networks are subsets of machine learning. In this article, we will go through the neural networks in artificial intelligence. This beginner’s guide to neural networks will help you clearly understand the different categories of AI.

    What Are Neural Networks?

    Neural networks are also known as simulated neural networks which are a subset of machine learning that forms the foundation of deep learning algorithms. Their structure and names are inspired by the design of the human brain. Neural networks are designed to mimic how biological neurons communicate with one another.

    Artificial neural networks are made up of node layers and each layer of them has an input layer, hidden layers, and an output layer. Each artificial neuron or node is linked with another and has its threshold and weight. If the output of an individual node exceeds the specified threshold value, then the is activated and begins to send data to the next layer network. or else, data is not passed to the next network layer.

    Neural networks use training data to improve and learn their accuracy over time. However, as these learning algorithms are tuned for accuracy, they become powerful tools in artificial intelligence and computer science allowing us to classify and cluster data at high speeds. When compared to manual identification by human experts, speech recognition or image recognition tasks can take minutes rather than hours. Google’s search algorithm is well-known for neural networks.

    Neurons, synapses, weights, biases, propagation functions, and a learning rule are all components of a typical neural network. Neurons will receive an input p j(t) from predecessor neurons with an activation a j(t), a threshold theta j, an activation function f, and an output function f out. Connections are made up of connections, weights, and biases that govern how neuron $i$ transfers output to neuron $j$.

    Propagation computes the input, outputs the output, and adds the function of the preceding neurons to the weight. The learning of a neural network essentially refers to adjusting the free parameters, such as weights and biases. The learning rule changes the weights and thresholds of the network’s variables. There are three basic sequences of events in the learning process. Which includes:

    A new environment simulates the neural network.

    As a result of this simulation, the free parameters of the neural network are altered.

    Because of the changes in its free parameters, the neural network then responds to the environment in a new way.

    Supervised vs. Unsupervised Learning:

    Supervised learning is how neural networks learn. Supervised machine learning is comprised of an input variable x and a desired output variable y. In this section, we introduce the concept of an environmental educator. As a result, we can say that the teacher has both an input and output set. The neural network is completely unaware of its surroundings. The input is shown to both the teacher and the neural network, and the neural network produces an output based on the input. This output is then compared to the desired output of the teacher, and an error signal is generated at the same time. The network’s free parameters are then gradually adjusted to minimise error. When the algorithm achieves an acceptable level of performance, the learning process comes to an end. Unsupervised machine learning uses input data X but produces no output variables. The goal is to model the underlying structure of the data to learn more about it. The terms classification and regression are used to describe supervised machine learning. Clustering and association are the keywords for unsupervised machine learning.

    Types of Neural Networks

    There are seven types of neural networks

    The first type of perceptron has three or more layers and employs a nonlinear activation function.

    The second type of neural network is the convolutional neural network, which employs a multilayer perceptron variation.

    The third type of neural network is the recursive neural network, which uses weights to make structured predictions.

    The fourth is a recurrent neural network, which connects neurons in a directed cycle. The long short-term memory neural network employs the recurrent neural network architecture and lacks an activation function.

    The final two modules are sequence-to-sequence modules that use two recurrent networks and shallow neural networks to generate a vector space from the text. These neural networks are extensions of the basic neural networks.

    Resource : https://www.analyticsinsight.net/beginners-guide-to-neural-networks-in-artificial-intelligence/

    24Jan, 2023
    Top 5 AI-powered Cybersecurity threats in 2023

    Watch out for the top 5 AI-Powered cybersecurity threats; the future of cyber attacks

    Cybersecurity threats are constantly evolving in today’s digital age. The increasing use of artificial intelligence (AI) in cyber-attacks has been one of the most significant developments in recent years. As AI technology advances, attackers use it to launch more sophisticated and effective attacks. These AI-powered cybersecurity threats are a growing concern for organizations and individuals alike, as they can evade traditional security measures and cause significant damage. In this article, we will explore the top five AI-powered cybersecurity threats.

    1. Advanced Persistent Threats (APTs): A sophisticated, sustained cyberattack known as an advanced persistent threat (APT) occurs when an intruder enters a network undetected and stays there for a long time in order to steal sensitive data. They frequently involve the use of artificial intelligence to avoid detection and target specific organizations or individuals.
    2. Deepfake attacks: These employ artificial intelligence-generated synthetic media, such as videos or images, to impersonate real people and carry out fraud or disinformation campaigns.
    3. AI-powered malware: Malware that uses AI has been taught to think for itself, adapt its course of action in response to the situation, and particularly target its victims’ systems. Malicious software that uses AI to avoid detection and adapt to changing environments, makes defense more difficult.
    4. Phishing: Using natural language processing and machine learning, attackers can create more convincing phishing emails and messages that are designed to trick individuals into revealing sensitive information.
    5. DDoS attacks: Distributed Denial of Service (DDoS) attacks that use AI to identify and exploit vulnerabilities in a network, allowing the attacker to amplify the scale and impact of the attack.

    These are some of the other AI-powered cybersecurity threats that are causing concern in the tech industry. Cybercriminals are increasingly employing AI to carry out sophisticated and targeted attacks on individuals and organizations. Individuals and businesses must stay informed about the latest AI-powered cyber threats and implement robust security measures to protect themselves.

    Resource : https://www.analyticsinsight.net/top-5-ai-powered-cybersecurity-threats-in-2023/

    19Jan, 2023
    What is Artificial Intelligence chatbot Chat GPT? Know why it has landed in ‘anti-Hindu’ controversy

    Artificial Intelligence is being deemed the future of the tech world, with the capabilities of several new AI projects even transcending the expectations of the human mind. Something similar has been done with a new AI technology called Chat GPT.

    Chat GPT is an AI technology that can help the user learn more about almost all the topics in the entire world. Not just this, but Chat GPT also learns from its users, gaining more and more knowledge each time you ask it a question about any topic.

    While Chat GPT is a new and innovative step towards the evolution of AI, it has recently landed in a major controversy. Many people have alleged that artificial intelligence is hurting the sentiments of Hindus through some of the content available on the religion.

    First, let’s learn what AI Chat GPT is and how it functions for a user.

    What is Chat GPT?

    Chat GPT is an AI-based chatbot, which has been developed by the company OpenAI. It has slowly become one of the most popular AI-based tools which are being actively used by students, working professionals, and teachers.

    Taking a step ahead of Wikipedia and basic Google searches, Chat GPT has emerged as an AI-powered chatbot that uses a field of machine learning known as natural language processing (NLP) to generate responses to users’ questions.

    If you ask Chat GPT a question, it will analyze thousands of web pages and content on the internet in seconds and give you a detailed answer within the set word limit. People have been using Chat GPT for homework, writing books, and even writing comedy routines.

    What is interesting is, every time you ask Chat GPT a question, it will give you a detailed answer and even learn more, which will equip it to give even better answers in the next attempt.

    What is Chat GPT’s controversy related to Hindu religion?

    Several users pointed out that Chat GPT is displaying content on the Hindu religion that can be deemed objectionable by many. An example of this is, when a user asks Chat GPT to make a joke on any Hindu deity, it displays the joke without any disclaimer or warning.

    But when the same is written for the Bible or Islamic religion, Chat GPT displays a warning that such content can hurt religious sentiments. Many are defending the AI by saying that it might not have knowledge about the Hindu religion yet, but many are also deeming it as ‘Anti-Hindu’.

    Resource : https://www.dnaindia.com/technology/report-what-is-artificial-intelligence-chatbot-chat-gpt-know-why-it-has-landed-in-anti-hindu-controversy-3017825

    19Jan, 2023
    5 most in-demand career skills to learn in 2023

    When we think about our careers i.e. future, it is obvious that in a more advanced world, there will be more automated operations than today. Artificial intelligence has been introduced into many industrial activities and is expanding.

    There are many such skills that if you start learning now, you will get a lot of help in the future. Today we will know about the Top 5 Career Skills in Hindi 2023, which will enable us to live our life well in future.

    We know that if we work well for 2-3 years on any one Career Skill, then we get to learn a lot in it and our career becomes mine in it. If you start learning all these Career Skills then your future will be bright in 2023 and will be in massive demand within 2-3 years.

    Data Analytics

    This question must have come into your mind! The simplest definition of analytics is “thе ѕссiеnсе оf аnаlуѕiѕ” However, a practical definition can be “Data analysis refers to the technique of collecting raw data, analyzing it, and transforming it into information that can be used to draw a specific conclusion can be done to reach.

    A career in data analytics in India is growing rapidly with increasing demands of data analysts in large companies which are using big data and analytics tools. A person going for a career in data analytics should be competent enough to do in-depth research on the subject,

    Artificial Intelligence and Machine Learning

    Artificial intelligence is a software program that mimics the way humans learn and solve complex problems. These systems are different from other applications which mainly decide the process of transactions which are explicitly programmed.

    Machine learning is a subfield of artificial intelligence, under which the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. In other words: Machine learning enables IT systems to recognize patterns and develop adequate solution concepts based on existing algorithms and data sets.

    Digital Marketing

    Digital marketing refers to the marketing of products and services through the Internet and related channels.

    Digital marketing can help promote a brand using various digital channels, such as search engines, social networks, email, mobile, etc.

    Mobile Application Development

    Mobile App Development is a program that helps you develop apps for small and wireless computing devices.

    Earlier mobile applications were migrated from PC applications to mobile devices. But as mobile applications become more reliable, mobile application developers are moving towards a more sophisticated approach, which involves writing specifically for the mobile environment.

    Sales and Customer Skills

    Skills are essential to being a good salesperson. You must have a variety of skills to be good at sales. You have to understand people, marketing, business and etc.

    To be good in sales completely depends on you and you can learn how to be the best in sales.

    Resource : https://www.dnaindia.com/lifestyle/report-5-most-in-demand-career-skills-to-learn-in-2023-3015294

    18Jan, 2023
    Five trends Indian e-commerce industry can expect in 2023

    Internet and mobile phone are the front face of the e-commerce industry, and it has seen an extravagant rise in businesses and consumerism across the country. Every year, India is becoming more internet- and smartphone-friendly, and in 2020 the country had the world’s largest internet population with over 740 million users. As per an estimation, it can increase the usage of mobile phones, and 1.5 million people will use the internet by 2040. In the last two years, India’s e-commerce market has grown exponentially and is flourishing every coming year.

    It is believed that the e-commerce of India will touch the market with 60 billion, which means there is a lot of scope for growth and constructive remodelling. Analyzing and catching up with the e-commerce trend is one way to secure the stability of e-commerce businesses.

    We have concluded five trends that will be taking place in the market in the year 2023:

    1. Technology and business growth

    In the last few years, India has evolved and accepted technology with broad arms. Our tech-friendly environment has been evident with speedy changes in gadgets, software, and virtual reality, and in a few years, we have covered the path from no internet to 5G in no time. Today, businesses are undergoing an evolution fueled by technology that may be the pillar of modern retailing. Virtual Reality (VR) is one technology that can give e-commerce businesses a new life. It is one of the trends that is foreseen to attract more customers to invest in e-commerce platforms.

    1. E-Commerce growth via social media

    Social media is the future for shopping and selling goods and services. In the coming time, it can become one of the leading and only sources where people will shop from. Social media platforms serve as a brand digital store through social commerce, allowing customers to conduct their whole purchasing experience, from product research and discovery to payment, everything on social media. With perfect functionality in the social media apps, such as giving recommendations, customer reviews, and ratings, businesses can mark a massive profit with this e-commerce trend in the coming years.

    1. Showrooming

    Customer satisfaction is a must, be it online or offline shopping. And to flourish the e-commerce growth, businesses can build experience stores that consumers can visit to see the products before shopping online. This e-commerce trend can make the customer brand attached, and the visual convenience will be at a high peak. It is beneficial as customers can take discounts and trust the services offered by the business platform after visiting the showrooms or stores.

    1. Shop online and collect offline

    This e-commerce trend has been sustaining in the game for a while now. Consumers who use the click-and-collect service option can also benefit from having no or very few additional delivery costs. Businesses benefit from the customer experience, sales of additional products, and effective return handling. Consider this trend as seamless buying and extreme growth in the e-commerce sector, and businesses can see wonders happening.

    1. Quick deliveries

    Quick e-commerce states how consumers can expect delivery in 6 hours or a day after ordering any good. This trend can put India in the leading markets of e-commerce with other growing countries such as China, etc. Quick deliveries can lead to more orders resulting in the overall growth of an e-commerce business. Perfecting the aspect of convenience is one crucial booster to spreading business online. This trend can strengthen the face of many e-commerce businesses if their logistics are quicker than their competitive companies.

    It is foreseen that with these trends, Indian e-commerce is anchored to get highlighted in the media positively and grow swiftly.

    Resource : https://timesofindia.indiatimes.com/blogs/voices/five-trends-indian-e-commerce-industry-can-expect-in-2023/