Due to the pace at which digitalization and modern IT are becoming pervasive, implementing, managing, and rethinking IT strategies concerning customer experience cannot just be limited to an IT function. While organizations should enable cross-collaboration among multiple teams and the IT department, there is also a need to consider how technology decisions affect value delivery and consumer experience. In this paradigm shift, customer identity and access management (CIAM) becomes prominent and requires cross-functional collaboration and deliberate decision-making. On the one hand, the IT team has to ensure that consumer identities are protected while they access the resources needed for attaining value. On the other hand, CX professionals need to ensure that the consumer experience is seamlessly integrated into CIAM, and even leverage enhanced and advanced CIAM capabilities. CIAM is no longer just an IT concern, and it should enable the organization to achieve better business outcomes by carefully balancing security and experience. Furthermore, this article discusses the five key focus areas of CIAM beyond IT. 1. Security And Experience: Balancing Trade-OffsHistorically, only relying on password-based authentication has been inefficient and insecure as users tend to use repeated passwords and follow poor password hygiene. In fact, credential-based attacks are often employed successfully in publicly disclosed data breaches. You can, however, strengthen password-based authentication with multi-factor authentication (MFA) methods such as knowledge-based authentication, one-time passwords or unique links sent via email. While MFA offers an additional layer of security, it also introduces friction to the user experience. This is a good trade-off to improve your security if your users are as concerned about their data security or won’t mind this inconvenience. On the other hand, it’s ideal to improve password-based authentication with alternatives such as social login, single sign-on or just one-time passwords. This helps users remember one less credential, thus reducing the possibility of affected password hygiene and inefficiencies due to forgotten passwords. In any circumstance, the imperative is to understand your users and what they value primarily—that is, to what degree they perceive security and convenience as necessary. Once you understand these preferences closely, it becomes straightforward to balance security and experience tradeoffs in line with the business and IT needs. 2. Optimally Delivering Mass PersonalizationIn the digital landscape, engaging users with relevant, value-rich experiences is more important to growing revenue and building brand loyalty. In addition to authenticating and authorizing users, your CIAM strategy can act as a platform for user data centralization and process the data in meaningful ways to deliver personalized experiences. As a result, this requires close collaboration with IT and marketing to determine how to process data and serve personalization. 3. Managing Compliances And Associated RisksWith your CIAM strategy, you should evaluate CIAM solutions that integrate or offer built-in rules engines or customizations for better compliance. Ideally, you should bring together compliance and risk management teams along with CX and IT teams to understand the requirements and streamline the trade-offs to create optimal evaluation criteria. It solidifies your organization-wide CIAM strategy and helps implement it with a closely aligned CIAM solution. As a result, this approach is efficient as it centralizes data and implementation and simplifies collaboration among compliance, risk and IT teams. In turn, it becomes simplified to glean compliance risks and assess risk tolerance levels in near real time. 4. Seamlessly Integrating Customer Relationship ManagementAs you centralize user data with your CIAM, you will gain greater visibility into user journeys from signing up for a free trial or account to becoming a paid user or regular customer. This visibility helps marketing and sales teams deeply understand real user interactions and purchasing behavior, which, in turn, helps retain and grow revenue by tactically addressing buyer objections, pain points and concerns. Secondly, the CIAM becomes the single source of truth, which helps: •Collect, process and maintain data in a product-based cycle that allows all the teams to leverage user data effectively •Avoid sending duplicate messaging to the same users •Enforce a privacy policy and serve user data deletion or modification requests more seamlessly. 5. Maintaining And Enforcing A Friendly Privacy PolicyUsers today are becoming ever more conscious about what personal data companies collect and how they use it. In addition to maintaining compliance with various data privacy regulations, you should create a clear, coherent and meaningful privacy policy that not only complies with data regulations but also considers user preferences in this respect. Strategically creating and enforcing a user-friendly policy requires establishing a liaison to coordinate among CX, IT and compliance teams to ensure that privacy is not only a compliance concern but a business priority. It helps to ensure everyone understands the need of today's users and to maintain a competitive and friendly privacy policy for meeting user needs. As your CIAM helps manage user data, you should strategize maintaining and enforcing your privacy policy using your CIAM platform. This helps reduce costs and deliver timely service for user data privacy-related requests. ConclusionCIAM has evolved from traditional IAM to meet business needs by enhancing user experience and ensuring security while helping with compliance management. Hence, CIAM is not limited to IT and needs collaboration among multiple teams to realize the value from your CIAM and create business advantages. Originally published with Forbes https://bit.ly/3QJf7wI https://images.unsplash.com/photo-1542744173-8e7e53415bb0?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDE0fHxvZmZpY2V8ZW58MHx8fHwxNjcyOTUyNDM4&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2023/01/17/5-areas-where-ciam-is-more-than-an-it-responsibility/
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Built-in authentication security mechanisms are like the DNA of a technology platform. They are integral to the success of a platform and have been present since their inception. Every business prioritizes digital transformation, which means every industry has been putting extra effort into fostering positive customer experience. And this is visible in the speed at which customers connect with companies–via websites, apps or social media channels. However, the biggest concern of users remains unchanged; compromised private information. But technical glitches, security vulnerabilities, and sloppy work done by third-party vendors are often blamed. When it comes to building communities and networks, user authentication is essential. Businesses must get robust identity security mechanisms to reassure customer authentication security. They should use built-in authentication methods like biometric authentication and behavioral analytics. Let’s understand the aspects of incorporating a built-in authentication security mechanism and why it is becoming the need of the hour for businesses to secure customer identities on their platforms. What is Authentication Security? Why is it Important Now More Than Ever?Authentication security is essential for user identity security. Authentication is the process of confirming your identity to prove that you are who you say you are. This process can take many forms: a password, a fingerprint scan, or something more complicated like a biometric scan of your iris pattern. Authentication security is crucial because customers know their privacy and data security rights. If they feel mistreated, they will stop doing business with that company. This means that companies need to make sure that their authentication systems are as secure as possible so that users don’t have any reason to worry about whether their information is safe and secure with them. Besides this, privacy and data security regulations are a hot topic, with the EU’s general data protection regulation (GDPR) and California’s consumer privacy act (CCPA). Awareness of these regulations and how they affect your business is essential. But what about your customers? How do they feel about these regulations? And what do they think about the way businesses use their details? If you want to keep your customers happy and comply with these regulations, you must understand how customers feel about your business practices. Various Modes of Built-in Authentication Methods That Reinforce Platform SecurityWhen it comes to securing your platform with robust built-in security, many businesses rely on old-school 2FA authentication mechanisms. And, significantly, when the global cybersecurity threat vector has increased, it loses sensitive customer data since these mechanisms don’t work efficiently. Hence, businesses need to understand that their platform security can only be reinforced by incorporating a robust multi-factor authentication (MFA) mechanism that leaves no stone unturned in shielding users against several modern threat vectors. Let’s understand in detail. Multi-Factor Authentication (MFA) for Reinforcing Security StructureHave you ever wondered how your personal information is protected on the internet? You’re typically prompted to enter a password when you log into an account—whether it’s a bank account, social media site, or even your email. This is the first layer of security offered by that site. But as we all know, passwords can be hacked. That’s why many companies have added a second layer of security: Multi-factor authentication (MFA). Multi-factor authentication ensures robust platform security by adding multiple layers of authentication besides the conventional id and password. MFA improves security in cases where the first line of defense, like passwords, is compromised. In fact, according to Google’s statistics, 94% of data breaches involved weak or stolen passwords. How does multi-factor authentication work? It depends on which method you choose for your login. Generally, it involves a combination of two or more out of three factors: Something you know (your password), something you have (a security token), or something you are (your fingerprint). In addition to providing a second layer of authentication, MFA also helps prevent man-in-the-middle attacks where hackers intercept data between two parties communicating with each other over an unsecured network. Adaptive Authentication for the Next Level of Authentication SecurityAdaptive authentication is the most advanced form of multi-factor authentication that ensures the highest level of platform security in high-risk situations. Unlike traditional multi-factor authentication, which relies on static factors such as passwords, pins, or even fingerprints (which can be stolen or mimicked), adaptive authentication analyzes any unusual login behavior in terms of several login attempts, location of access, and more, and adds another stringent layer of authentication. This means that if you are trying to log into your account from an unknown location or using a device you have never used before, adaptive authentication will lock down your account until another factor like mobile phone verification or email verification has authenticated it. This extra layer of security makes it harder for hackers to access your account and protects against phishing attacks by ensuring that whoever is logging in is actually who they claim to be. Adaptive authentication helps ensure that even if multiple layers of authentication are compromised, the account remains secure. When you log in to your account, adaptive authentication is a system that checks several layers of security to ensure that only someone who knows your username and password can access your account. This includes your computer’s IP address, the location from which you’re connecting to the internet, and the type of browser being used (for example, Chrome or Firefox). To ConcludeWhen building a platform, authentication is an integral part of the process. You have to ensure that your users can trust and identify themselves with your platform and that they can do so securely. You also want to make sure that it’s easy for them to do so because if they have a terrible experience with the login process, they might not come back! Security mechanisms like MFA and adaptive authentication help reinforce overall security posture and build customer trust. The goal of any security mechanism is to keep users safe from threats. To do this, you must understand your users’ needs and how they interact with your site or app to provide a solution that works for them. By incorporating built-in platform authentication mechanisms, including MFA and adaptive authentication, you can build the trust of your customers by showing that you care about their safety. Originally Published at Security Boulevard https://bit.ly/3CITk2q https://guptadeepak.com/content/images/2023/01/Biometrics-Government-770x300.jpg https://deepakguptaplus.wordpress.com/2023/01/13/built-in-authentication-security-mechanisms-to-reinforce-platform-security/ As technology advances, so does the potential for Artificial Intelligence (AI) to understand and interact with humans in increasingly complex ways. One of the most exciting aspects of this development is the potential for AI to understand and interact with humans on an emotional level. This article will explore the current state of AI and emotional intelligence, the potential applications of this technology, and the implications of its use in the future. Current State of AI and Emotional IntelligenceArtificial Intelligence (AI) has come a long way since its inception, with advancements in technology and research leading to incredible developments. AI is used in various industries, from healthcare to finance, to improve efficiency, accuracy, and productivity. AI is also being used to develop more sophisticated systems for understanding and responding to human emotions. Learning and responding to human emotions is known as Emotional Intelligence (EI), and it has the potential to revolutionize the way we interact with technology. EI is the ability to recognize, understand, and respond to emotions. It involves understanding the emotions of oneself and others and the ability to use this information to make decisions and interact with others. AI has the potential to help us better understand and respond to emotions, as well as to create more efficient and accurate systems for responding to them. AI has already been used to develop systems that can detect and respond to emotions in various ways. For example, AI can see facial expressions, tone of voice, and body language to better understand a person's emotional state. AI can also analyze text and speech to detect and respond to emotions. AI is also being used to develop systems that can respond to emotions more naturally and effectively. For example, AI can create chatbots that can interact with people more naturally and create virtual assistants that can respond to emotions more humanly. AI can detect basic emotions such as joy, sadness, and anger, but it is not yet able to interpret more complex emotions such as guilt, shame, or fear. Additionally, AI cannot accurately predict how humans will react to certain situations, as this requires a deep understanding of human behavior and psychology. The current state of AI and EI is still in its early stages, but the potential for these technologies to revolutionize how we interact with technology is immense. Furthermore, with continued research and development, AI and EI have the potential to become even more powerful tools for understanding and responding to human emotions. Potential Applications of AI and Emotional IntelligenceAI with EI is the most important and rapidly evolving technology of the 21st century. AI is the science of creating machines that can think and act like humans, while EI is the ability to recognize, understand, and manage emotions. Both of these technologies have the potential to revolutionize the way we interact with technology and with each other. The potential applications of AI and emotional intelligence are vast. AI can automate mundane tasks, such as data entry or customer service, or make decisions based on complex data sets. AI can also create virtual assistants, such as Alexa or Siri, to help users with tasks such as setting reminders or finding information. EI, on the other hand, can be used to create more natural and human-like interactions between people and technology. For example, AI-powered chatbots can be programmed to recognize and respond to emotional cues like anger or joy to provide a more personalized experience. EI can also be used to create virtual counselors, which can help people with mental health issues or provide advice on difficult decisions. AI could be used to create more personalized user experiences, as it is capable of recognizing and responding to individual emotions. For example, AI could improve customer service by detecting customer frustration and reacting appropriately. AI could also create more effective marketing campaigns, as it can recognize and respond to customer emotions. The potential applications of AI and EI are virtually limitless. As these technologies evolve, they will become increasingly important tools for businesses, governments, and individuals. As a result, AI and EI have the potential to make our lives easier, more efficient, and more meaningful. Implications of AI and Emotional IntelligenceAI has the potential to automate many of the mundane tasks that humans currently perform, freeing up time for more creative endeavors. AI can also be used to improve customer service, as it can quickly process customer requests and provide personalized recommendations. AI can also improve decision-making by analyzing large amounts of data and providing insights that would otherwise be difficult to obtain. EI has the potential to revolutionize the way we interact with technology. By understanding users' emotions, AI can provide more personalized experiences and better understand customers' needs. For example, AI can detect user sentiment and tailor responses accordingly. Additionally, AI can see users' signs of stress or anxiety, allowing for more proactive interventions. The use of AI and emotional intelligence has both positive and negative implications. On the positive side, AI could create more personalized user experiences and improve customer service. For example, it can be used to develop more effective marketing campaigns, which could increase consumerism. On the negative side, AI could manipulate people by taking advantage of their emotions. It would also be better for governments to consider regulating some critical AI standards. ConclusionAI and emotional intelligence have the potential to revolutionize the way humans interact with technology. However, as AI develops, its applications and implications will become increasingly complex. Therefore, it is essential to consider both the potential benefits and risks of AI and emotional intelligence before implementing it in any capacity. https://bit.ly/3ipOdNH https://images.unsplash.com/photo-1507146153580-69a1fe6d8aa1?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDN8fEFJJTIwd2l0aCUyMGh1bWFufGVufDB8fHx8MTY3MzA0NDgyNw&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2023/01/09/ai-and-emotional-intelligence-ei-a-look-into-the-future/ To better protect personal data and ensure information security, organizations should be taking advantage of vulnerability assessments and measuring against application security benchmarks. These application security validations and certifications ensure your applications comply with fundamental security specifications, including safe programming, organized design structure and secure operations. This CISO‘s guide to secure software development can help you understand and follow the priorities of the specifications for application protection and why investing in application security programs is necessary. First, some basics. Data Leaks and Breaches are CostlyThe cost of a data breach and the necessity of application security risk management is one of the main reasons why a secure application strategy is a top priority for CISOs. Regardless of an organization’s size, a data breach can have devastating consequences both economically and on a company’s brand reputation. Key highlights from the report that CISOs should be aware of:
5 Reasons CISOs Should Invest in Application Security
How to Build a Secure Application Strategy
Developing and following a strategy, use of the right tools and ensuring your entire organization is committed to application security can reduce the chances of a data breach, safeguard the bottom line and protect your business’s reputation. Originally Published at Security Boulevard https://bit.ly/3CtvW9b https://images.unsplash.com/photo-1552664730-d307ca884978?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDEzfHxkZXZlbG9wbWVudHxlbnwwfHx8fDE2NzI5ODM2ODg&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2023/01/06/cisos-guide-to-secure-software-development/ A zero-day vulnerability is a computer security vulnerability unknown to the software developer or vendor. It is called a "zero-day" because it is discovered on the same day an attacker exploits it. This means that the vulnerability had existed for “zero days”, meaning that it was not found before it was controlled. Because the exposure is unknown, the software developer or vendor had not had the opportunity to fix it before it was used. Zero-day vulnerabilities can be very dangerous because malicious people can use them to access systems and data without being detected. Understanding the importance of keeping your computer and other devices up to date is essential. Software developers and vendors usually release updates to fix vulnerabilities, so downloading and installing them is necessary to ensure your device is safe. What impacts could it have?Zero-day vulnerabilities can be exploited in various ways.
What are some examples?
Zero-day vulnerabilities are typically discovered by security researchers who are on the lookout for them. Once discovered, the researcher can alert the affected party so that they can patch the vulnerability and protect their systems. In some cases, security researchers may also sell the details of the zero-day vulnerability to third parties, such as governments or cyber criminals. https://bit.ly/3vD97fv https://images.unsplash.com/photo-1660644808219-1f103401bc85?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDF8fHZ1bG5lcmFiaWxpdHklMjBzZWN1cml0eXxlbnwwfHx8fDE2NzIxNjczNjU&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2022/12/28/what-is-zero-day-vulnerability/ As a startup, you have a small team. Maybe you have some people in your IT security team who might not be experienced. But they have a basic understanding of it. And if you want to start the cybersecurity team with a limited budget, you can do a few things. There is a lot of public knowledge out there. There are a lot of online courses available where your team can learn essential cybersecurity, and they can learn about specific challenges that you are having about cybersecurity. So use public knowledge as much as you can. The second thing you can do is buy some books. If you have some specific challenge, buy a book that will give insight into how to solve those problems and build up your cybersecurity knowledge within your team. The third thing many forget is the weekly lunch and learn sessions, where your team members can pick a topic and explain it to the whole team every week. This builds communication within the team and allows everyone on your team to learn more about cybersecurity! Another step is that while you're building your cyber security brochure, you can start making an internal knowledge base for your cyber security. You can start building up the playbooks of incidents that have happened or could happen in the future, so some of those playbooks and internal knowledge base would always be helpful, not just for now but even in the future as your company grows. And last but not least: every city nowadays has local cybersecurity meetups and webinars where security experts talk about cybersecurity and teach or train people about it! Encourage your team members to learn about cybersecurity and build their knowledge base at these events. https://bit.ly/3PGFVgN https://images.unsplash.com/photo-1519309621146-2a47d1f7103a?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDI1fHx0ZWFtfGVufDB8fHx8MTY3MDg5NzIzNw&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2022/12/21/how-to-build-a-cybersecurity-team-for-startup/ In today’s digital-first business environment, having a go-to-market tech stack is essential for companies looking to create a great customer experience and maximize their product-led growth. For a product-led company, the right technology choices can significantly impact customer engagement, product adoption, and revenue. Go-to-market (GTM) is typically composed of a suite of customer relationship management (CRM), marketing automation, analytics, customer feedback, data warehousing, and customer success management software. By investing in the right tech stack, product-led companies can better understand their customers and drive growth efficiently. This article will cover the three critical elements of a go-to-market tech stack for product-led companies: customer relationship management (CRM), marketing automation, and customer success management. We’ll also discuss choosing the right tools, tactics, and processes for setting up a successful GTM tech stack. Why Invest in a Go-to-Market Tech Stack?Having the right go-to-market tech stack in place can be a game changer for product-led companies. It enables them to better understand their customer and their needs, deliver a more personalized experience, and increase product adoption. By investing in the right technology, product-led companies are better able to:
In short, a go-to-market tech stack can help product-led companies better understand their customers and drive more efficient growth. What to Include in Your Go-to-Market Tech StackA go-to-market tech stack for product-led companies usually consists of three main components: customer relationship management (CRM), marketing automation software, and customer success management software. Customer Relationship Management (CRM)CRM is essential for product-led companies. It helps companies better understand their customers, track customer data, and build stronger relationships. CRM software enables product-led companies to capture customer data such as customer names, contact information, purchase history, and customer preferences. This data can then be used to identify leads, target personalized campaigns, and gain valuable customer insights. The right CRM software can also help product-led companies track customer lifetime value (CLV), measure customer engagement, and create segmented customer profiles. Marketing Automation SoftwareMarketing automation software is essential for product-led companies looking to reach the right customers with the right message. It automates and streamlines marketing campaigns, allowing companies to target personalized campaigns to the right audiences at the right time. The right marketing automation software can help product-led companies:
Customer Success Management SoftwareCustomer success management software is essential for product-led companies looking to increase product adoption and customer lifetime value. It helps companies track customer usage and engagement, identify customer needs, measure customer experience, and create personalized customer success strategies. The right customer success management software can help companies:
How to Choose the Right Tools, Tactics, and ProcessesProduct-led companies must carefully evaluate their go-to-market technology stack and ensure they have the right tools, tactics, and processes. Here are some tips on how to choose the right tools and processes for a successful go-to-market tech stack:
ConclusionHaving the right go-to-market tech stack is essential for product-led companies looking to maximize customer engagement and drive product-led growth. An effective GTM tech stack should include customer relationship management (CRM), marketing automation, and customer success management software. When choosing the right tools and processes for your GTM tech stack, gather customer data, research and evaluate technology, define strategies and workflows, and measure and optimize your stack. By investing in the right go-to-market technology, product-led companies can better understand their customers, deliver a more personalized experience, and drive more efficient growth. https://bit.ly/3YA2NCA https://guptadeepak.com/content/images/2022/12/tech-stack-GTM-product-led-saas.webp https://deepakguptaplus.wordpress.com/2022/12/20/how-to-set-up-your-go-to-market-tech-stack-for-a-product-led-company/ Team training is the most important thing you can do to protect your business from data breaches. ?? Your team is out there working with your customers, so they need to be aware of basic cybersecurity practices. They need to know what they can do to protect your data, and if they have some education on this topic, I think that would be the best thing you can do to prevent most of the threats. By providing your employees with cyber security awareness training, you give them the knowledge they need to stay vigilant online. The benefits of cyber security awareness training for employees are countless: it allows them to feel more confident online; employees can also recognize potential threats and stay safe online; this will also upskill them to progress in their careers. Aside from benefiting your employees from the team training, there are also business benefits such as protecting your business's network, data, revenue, and reputation. Safeguard your customers who entrust you with their data and ensure no disruption to business operations. So, I would say team education is crucial! You should have small cybersecurity training in place for your team—that's what I'd recommend! Does your current company provide team training about cybersecurity? I want to know, so leave your comment in our community space below! ?⚡ //www.instagram.com/embed.js https://images.unsplash.com/photo-1523875194681-bedd468c58bf?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDE4fHxidXNpbmVzcyUyMHNlY3VyaXR5fGVufDB8fHx8MTY3MDg5NzM1OA&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2022/12/14/making-your-business-cyber-secure-must-do/ As businesses increasingly rely on RESTful APIs to connect and share data between applications and services, robust API security measures are becoming more critical. However, despite the best efforts of developers and cybersecurity professionals, RESTful APIs are still vulnerable to various security risks. In this article, we will explore five common RESTful API security risks and discuss how to protect against them.
In conclusion, RESTful APIs are an essential part of modern business operations but are also vulnerable to various security risks. By understanding these risks and implementing appropriate measures to protect against them, businesses can ensure the security and integrity of their APIs and the sensitive data they handle. https://bit.ly/3BsxgbG https://images.unsplash.com/photo-1545987796-200677ee1011?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDI5fHxzZWN1cml0eXxlbnwwfHx8fDE2NzAzNjMxMzE&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2022/12/12/5-common-restful-api-security-risks-and-how-to-protect-against-them/ ChatGPT is an advanced artificial intelligence (AI) chatbot platform mimics human-like conversation based on user prompts. It uses natural language processing capabilities and machine learning algorithms to understand user conversations and engage with them in meaningful ways. Many applications and use cases are still developing from a search engine, getting directions, automating customer support, automating product queries, etc. One use case for creators for ChatGPT is that it can analyze social media conversations and provide insights on the best ways to interact with followers, optimize posts for maximum engagement, and provide timely and helpful advice to users. ChatGPT can help creators in the following ways to optimize their social media:
ChatGPT is an invaluable tool for creators who want to optimize their social media presence. By leveraging its natural language processing capabilities and machine learning algorithms, creators can get personalized advice and insights on optimizing their content and engaging with their followers in meaningful ways. With ChatGPT, creators can maximize their social media presence and ensure that their content reaches the right audiences. https://bit.ly/3BhbMi8 https://images.unsplash.com/photo-1655720840699-67e72c0909d1?crop=entropy&cs=tinysrgb&fit=max&fm=jpg&ixid=MnwxMTc3M3wwfDF8c2VhcmNofDJ8fEFJfGVufDB8fHx8MTY3MDQ1NDk0Ng&ixlib=rb-4.0.3&q=80&w=2000 https://deepakguptaplus.wordpress.com/2022/12/08/how-chatgpt-will-help-creators-to-optimize-social-media/ |
AuthorChristopher Reardon, PhD, is a computer scientist and experimental roboticist. He joined the faculty at the University of Denver in late 2020 as an Assistant Professor in the Department of Computer Science at the Ritchie School of Engineering and Computer Science. Prior joining DU, Dr. Reardon spent over four and a half years as a research scientist at the U.S. Army Research Laboratory, where his research focused on enabling better human-robot teaming for autonomous mobility and maneuver contexts. Dr. Reardon has published over 25 peer-reviewed journal and conference articles to date. He is an IEEE Senior Member. He is actively involved in the greater robotics research community, regularly serving in organizational leadership roles at conferences and workshops. ArchivesNo Archives Categories |