#Ai Finance

[cfbetabankruptt]

Every tick of the clock is another chip off your will as you surrender to my 2D power. 🤑

You’ve got the purpose of a gooner now. Isn’t it dumb boi? 😈

Control was so easy to take when you held on to that dick. Instead, I just took it 😈Every day you do this...

You condition yourself deeper into the darkness 😈

You can't escape what you're becoming & what you need anymore 🤑

[photon-insights]

The Best AI Tool For Financial Research

AI chatbots have, in the recent past, revolutionized the manner in which businesses communicate with clients in this modern digital era. They are intelligent virtual assistants programmed to mimic human conversations and provide instant support — valuable assets that help increase customer service experience.

There are a number of advantages a business can derive from working with AI chatbots:

1. Available 24/7: Unlike human agents, a chatbot operating with artificial intelligence is available at service for customer queries and issues at any time of the day. They tend to provide immediate support to customers, thus raising their satisfaction and loyalty.

2. Efficiency and Scalability: AI chatbots interact with customers in any number of concurrent interactions without a drop in response quality. This makes it easy for businesses to handle peak times and scale up resources effectively.

3. Consitude Replies: AI chatbots, based on predefined algorithms and developed models of machine learning, offer replies to all the FAQs in a consistent and accurate manner. This is why they result in less failure and ensure a uniform experience in customer service.

4. Cost-Effective: AI chatbots prove to provide mega cost savings in the operational costs regarding customer support in a business setup. It can streamline the workforce, allow human agents to engage in more complex tasks, and do justice to maximum productivity and efficiency.

5. Personalization: Next-generation AI technologies within chatbots aid in analyzing customer data and personalizing interactions based on individual preferences or behaviors of customers. Such personalized service helps in ensuring a high level of customer satisfaction and creating stronger bonds.

6. Analytics and Insights: AI chatbots can pick helpful information from customer interactions, preferences, and pain points. It can then be used by businesses for mining actionable insights into improvements in service offerings and refining marketing strategies.

7. Integration with Existing Systems: AI-based chatbots can easily integrate into any CRM system and any communication channel, resulting in smooth workflow and increased operation efficiency among different departments.

In summary, AI chatbots are a breakthrough in customer service: businesses can leverage the new powerful tool to maximize operational efficiency and buyer satisfaction, hence business growth. By adopting AI chatbots, a business can outperform its competition and provide great customer experiences seamlessly.

The Future of AI Chatbots: Enhancing Customer Engagement in 2024 and Beyond

While all the technologies today are reshaping customer service in a fast way, there is one among them which has more potential: AI chatbots. These intelligent virtual assistants have transformed how companies now reach out to their customers to introduce a whole new array of opportunities in interaction and satisfaction.

The Evolution of AI Chatbots

From where they began as handlers for simple queries and some other basic support needs, today’s chatbots have evolved to deliver personalized and contextually aware interactions thanks to advanced NLP and machine learning at their disposal. That positioned AI chatbots as an important channel for customer engagement across industries.

Using Data to Deliver Personalization

This is one of the key reasons that AI chatbots are able to break into a customer base: real-time analysis of heaps of customer data. AI chatbots, by understanding the preferences of customers and their behavior toward services in the past, can make tailored responses and suggestions that ensure satisfaction at all levels. This degree of personalization does not only raise customer satisfaction but also nurtures permanent loyalty.

Seamless Integration with Omnichannel Strategies

Customers today look for consistency and convenience in omnichannel environments. This is well served by AI chatbots, as they can be easily integrated with websites, mobile apps, social media platforms, and messaging services. This omnichannel ability unifies the customer experience more and maintains meaningful business-to-customer interaction independently of the channel of choice.

[digitalxonixblogs]

The Best AI Tool For Financial Research

AI chatbots have, in the recent past, revolutionized the manner in which businesses communicate with clients in this modern digital era. They are intelligent virtual assistants programmed to mimic human conversations and provide instant support — valuable assets that help increase customer service experience.

There are a number of advantages a business can derive from working with AI chatbots:

1. Available 24/7: Unlike human agents, a chatbot operating with artificial intelligence is available at service for customer queries and issues at any time of the day. They tend to provide immediate support to customers, thus raising their satisfaction and loyalty.

2. Efficiency and Scalability: AI chatbots interact with customers in any number of concurrent interactions without a drop in response quality. This makes it easy for businesses to handle peak times and scale up resources effectively.

3. Consitude Replies: AI chatbots, based on predefined algorithms and developed models of machine learning, offer replies to all the FAQs in a consistent and accurate manner. This is why they result in less failure and ensure a uniform experience in customer service.

4. Cost-Effective: AI chatbots prove to provide mega cost savings in the operational costs regarding customer support in a business setup. It can streamline the workforce, allow human agents to engage in more complex tasks, and do justice to maximum productivity and efficiency.

5. Personalization: Next-generation AI technologies within chatbots aid in analyzing customer data and personalizing interactions based on individual preferences or behaviors of customers. Such personalized service helps in ensuring a high level of customer satisfaction and creating stronger bonds.

6. Analytics and Insights: AI chatbots can pick helpful information from customer interactions, preferences, and pain points. It can then be used by businesses for mining actionable insights into improvements in service offerings and refining marketing strategies.

7. Integration with Existing Systems: AI-based chatbots can easily integrate into any CRM system and any communication channel, resulting in smooth workflow and increased operation efficiency among different departments.

In summary, AI chatbots are a breakthrough in customer service: businesses can leverage the new powerful tool to maximize operational efficiency and buyer satisfaction, hence business growth. By adopting AI chatbots, a business can outperform its competition and provide great customer experiences seamlessly.

The Future of AI Chatbots: Enhancing Customer Engagement in 2024 and Beyond

While all the technologies today are reshaping customer service in a fast way, there is one among them which has more potential: AI chatbots. These intelligent virtual assistants have transformed how companies now reach out to their customers to introduce a whole new array of opportunities in interaction and satisfaction.

The Evolution of AI Chatbots

From where they began as handlers for simple queries and some other basic support needs, today’s chatbots have evolved to deliver personalized and contextually aware interactions thanks to advanced NLP and machine learning at their disposal. That positioned AI chatbots as an important channel for customer engagement across industries.

Using Data to Deliver Personalization

This is one of the key reasons that AI chatbots are able to break into a customer base: real-time analysis of heaps of customer data. AI chatbots, by understanding the preferences of customers and their behavior toward services in the past, can make tailored responses and suggestions that ensure satisfaction at all levels. This degree of personalization does not only raise customer satisfaction but also nurtures permanent loyalty.

Seamless Integration with Omnichannel Strategies

Customers today look for consistency and convenience in omnichannel environments. This is well served by AI chatbots, as they can be easily integrated with websites, mobile apps, social media platforms, and messaging services. This omnichannel ability unifies the customer experience more and maintains meaningful business-to-customer interaction independently of the channel of choice.

[jamespotter7860]

The Impact of AI on Enhancing Risk Analysis in Financial and Corporate Research.

The Impact of AI on Enhancing Risk Analysis in Financial and Corporate Research.

In the current financial environment, which is fast-paced the ability to measure risks accurately and efficiently is essential. As businesses navigate the complex world of finance and complex financial markets, the introduction technology such as Artificial intelligence (AI) has transformed risk assessment processes for corporate and financial research. Photon Insights stands out as the leader in making use of AI technology to boost these vital functions, offering tools that do not just improve accuracy, but also enable more informed decision-making.

The Importance of Risk Assessment

The process of risk assessment involves a approach to identifying, analyzing and addressing possible threats that could affect the financial health of an organization. For corporate and financial research, a sound risk assessment can help stakeholders comprehend the risks of volatility in markets as well as operational failures, defaults on credit as well as regulatory compliance concerns. A thorough risk assessment enables companies to make better choices, efficiently allocate resources and minimize the potential loss.

Challenges in Traditional Risk Assessment

Traditional risk assessment techniques typically use historical data and manual processes. These are time-consuming and susceptible to human errors. The main challenges are:

1. Data Overload Financial institutions are flooded with huge amounts of information from a variety of data sources. This makes it hard to gain relevant insights.

2. “Lagging Indices” Traditional risk assessment usually depends on lagging indicators which could not accurately predict the future risk, which can lead to the use of reactive strategies rather than proactive.

3. Subjectivity and bias Human analysts could cause bias in their assessments, affecting the objectivity of risk assessments and ultimately leading to poor decision-making.

4. Inefficiency Manual processes can drag the timeframe for assessment and make firms more exposed to rapidly changing market conditions.

AI-Powered Risk Assessment

AI technologies, specifically the use of machine learning as well as natural language processing provide innovative solutions to these problems. Through automating data analysis and providing prescriptive insight, AI significantly enhances the risk assessment process.

Key Benefits of AI in Risk Assessment

1. Enhanced Processing of Data AI algorithms can analyse massive data sets quickly, identifying patterns and patterns that analysts might miss. This allows companies to make use of real-time data in more precise risk assessments.

2. Predictive Analytics: AI can predict future dangers by studying the past and identifying patterns. This proactive approach lets companies to anticipate possible problems and to take preventive steps.

3. Automating Routine Tasks Automating repetitive tasks, like data collection or preliminary analysis AI lets human analysts concentrate on higher-order strategic thinking and making decisions.

4. Bias Protection AI systems are created to eliminate biases in human analyses and provide more accurate risk assessment. With the help of data-driven insights companies can improve the credibility of their assessments.

5. Continuous Learning: AI systems improve over time through learning from the new inputs of data which makes risk assessments more precise and a reflection of current market conditions.

Photon Insights: Transforming Risk Assessment

Photon Insights illustrates the efficient integration of AI into corporate and financial research. With advanced analysis and risk assessment tools this platform allows organizations to improve their decision-making process. Let’s see what Photon Insights is transforming risk assessment:

1. Comprehensive data Integrations : Photon Insights aggregates data from a variety of sources, such as the financial report, trends in markets as well as news reports. This method of integration allows organizations to get a complete understanding of risks.

2. Real-Time Analytics The platform provides real-time data that helps businesses keep ahead of changes in the market. With the latest information available firms can modify their strategies quickly, while limiting the risk of being exposed to.

3. User-Friendly Interface Photon Insights offers an intuitive interface that makes it simple for analysts and decision makers to use the platform. This ease of use encourages adoption and helps facilitate collaboration between teams.

4. Customizable risk models Businesses can modify risk assessment models to meet their particular needs. Photon Insights allows users to develop custom algorithms that reflect their own risk profile which can enhance the usefulness of the information.

5. “Scalability”: as businesses grow, their risk management requirements change. Photon Insights is designed to grow with businesses, making sure that they have the right tools to effectively manage risk as they grow.

Real-World Applications

The use to AI for risk analysis using Photon Insights is already yielding substantial benefits to various sectors. For instance:

Banking and Finance Financial institutions use automated risk management tools that assess credit risk more precisely and result in more effective lending decisions and lower default rates.

Insurance: Insurance companies employ AI to determine the risk of underwriting through the analysis of applicant data as well as historical claims, which results in more precise premium pricing.

Corporate Governance companies are implementing AI to assess operational risks, compliance concerns along with market dynamic, improving general corporate management.

Future Implications

Future risk assessments in corporate and financial studies will change as technology advances AI technology. As companies increasingly depend on AI to make decisions, a number of tendencies are expected to be observed:

1.Integration between AI as well as humans Insight: Although AI will play an important role in the analysis of data but human judgment will be vital in the process of understanding results and making strategic choices. Combining AI capabilities with human insight will provide more efficient risk management.

2. Increased Regulatory scrutiny: As AI becomes more commonplace in risk assessment, regulators will likely to establish stricter guidelines regarding the use of AI. Companies must be ready to show transparency and accountability when using AI in their processes.

3. Expanding into New Markets* As AI technology advances its applications will go beyond traditional financial industries and offer the latest risk assessment tools to new markets and industries.

4. Focus On Ethical AI: In order to ensure ethical use of AI is of paramount importance. The organizations will have to prioritise transparency, accountability, fairness and transparency when developing their AI models in order to ensure the trust of their stakeholders.

Conclusion

AI is fundamentally altering the risk assessment landscape in corporate and financial research. Through automating data analysis, delivering the ability to predict and improve the objectivity of research, AI empowers organizations to make better decisions in a complex world. Photon Insights stands at the forefront of this change by providing cutting-edge tools that help companies manage risk effectively and strategically. As the use of AI is evolving and grow, companies that embrace these advances are better prepared to succeed in the ever-changing world of finance, ensuring longevity and success.

[whatisnivi]

Nivi, your free AI chatbot, can help you unlock financial wisdom.

Are you looking for a relaxed AI chatbot that can help you make better investment choices? Meet Nivi, your personal financial advisor powered by modern AI. Nivi has evolved to give you quick financial information at absolutely no cost.

Nivi, the free AI chat bot, is equipped to help you understand complex financial concepts, from budgeting to investment strategies.With Nivi, you gain more knowledge, allowing you to make better choices for your budget. This free AI chat bot uses advanced algorithms to analyze your financial situation and offers personalized recommendations based on your unique needs.

Using Nivi as your free AI chat bot means you can navigate financial challenges effortlessly. Whether you’re looking to save up for a big purchase, planning for retirement or seeking advice on financial strategies, Nivi is here to guide you. This free AI chat bot offers 24/7 support, ensuring you have help whenever you need it

Nivi’s intuitive design makes it simple for anyone to engage with a free AI chat bot. You don’t need to be a financial expert to benefit from Nivi’s services. Just type in your queries, and watch as this free AI chat bot delivers clear, actionable advice in real time.

With Nivi, you also have the opportunity to learn about budgeting tools, debt management strategies, and financial planning tips—all through a free AI chat bot interface. This accessibility empowers users to take control of their financial futures without the pressure of traditional financial consultations.

By choosing Nivi as your free AI chat bot, you’re investing in your financial education. The more you interact with Nivi, the more you’ll learn about effective money management. With its constant updates and learning capabilities, this free AI chat bot evolves to meet your financial needs.

In a world where financial literacy is crucial, having a free AI chat bot like Nivi at your fingertips makes all the difference. Don’t let financial confusion hold you back. Start your journey toward financial empowerment with Nivi, the free AI chat bot that puts expert advice within reach

Enjoy the benefits of a free AI chat bot dedicated to your financial success. Try Nivi today and see how easy it is to change your financial logic and decision making. Managing your finances with Nivi has never been easier!

[photoninsightstheaitool]

How AI Uncovers New Market Opportunities in Financial Analysis

Emerging market opportunities are essential to keeping ahead in today’s dynamic financial world, so investors, analysts, and businesses needing a competitive advantage must quickly spot emerging market opportunities in order to stay ahead. Traditional methods of market analysis often entail extensive manual research and interpretation of data, which can be both time consuming and susceptible to human error. However, Artificial Intelligence (AI) has completely transformed financial analysis by providing faster and more accurate detection of market trends and opportunities. Photon Insights has been at the forefront of this transformation, using AI to assist financial professionals uncover valuable insights. In this article we explore how AI is revolutionizing financial analysis and explore its role within Photon Insights as it evolves.

Understanding Emerging Market Opportunities is of Critical Importance

Identification of emerging market opportunities is vital for several reasons.

1. Strategic Investment Decisions: Investors depend on accurate market analyses to make strategic investment decisions, taking note of emerging trends early that could bring substantial financial benefits.

2. Competitive Advantage: Businesses that recognize emerging markets before their competitors can position themselves successfully to seize market share and drive growth.

3. Risk Mitigation: By understanding market dynamics, firms can anticipate changes and potential risks more accurately and develop proactive plans to safeguard investments.

4. Innovation and Growth: Emerging markets offer many unique opportunities for innovation. Identifying emerging trends can inspire the creation of innovative products, services and business models in these emerging markets.

Challenges In Traditional Financial Analysis

Traditional financial analysis methods present numerous hurdles:

1. Data Overload: Financial markets generate enormous amounts of data that analysts often have difficulty sorting through to identify relevant trends.

2. Time Constraints: Financial professionals face constant pressure to deliver insights quickly. However, manual analysis can delay decision-making processes significantly.

3. Subjectivity: Human bias can alter interpretation of data, leading to inconsistent conclusions and potentially incorrect investment decisions.

4. Incapability to Predict Trends: Traditional analysis often relies on historical data that does not adequately represent future market conditions.

How AI Transforms Financial Analysis

AI is revolutionizing financial analysis by offering tools and techniques that address the shortcomings of traditional methods. Here are several key ways AI enhances identification of emerging market opportunities:

1. Advanced Data Analytics

AI algorithms can analyze huge datasets sourced from diverse sources — financial reports, news articles, social media and market data — in real-time to allow analysts to spot patterns and trends which would otherwise remain hidden through manual analysis.

Keyword Focus: Data Analytics, Market Trends

Photon Insights utilizes advanced data analytics tools to help financial professionals uncover insights quickly, facilitating timely investment decisions.

2. Predictive Analytics

AI can analyze historical data to identify market fluctuations caused by certain factors. Furthermore, predictive analytics allow AI to predict potential future trends to help analysts anticipate emerging opportunities.

Keyword Focus: Predictive Analytics, Forecasting.

Photon Insights offers financial analysts predictive analytics capabilities that allow them to simulate various market scenarios and make informed decisions more quickly and accurately.

3 Natural Language Processing (NLP).

NLP allows AI to interpret and analyze unstructured data such as news articles and social media posts, helping analysts gauge public sentiment analysis and spot emerging market trends.

Keyword Focus: Natural Language Processing and Sentiment Analysis

Photon Insights incorporates Natural Language Processing (NLP) features to assist analysts with accurately gauging market sentiment, providing more nuanced analyses of market conditions.

4. Real-Time Monitoring

AI tools enable analysts to stay abreast of real-time market changes through real-time monitoring of market data, news and social media in real time, providing instantaneous alerts regarding any significant market changes or emerging opportunities. This immediate notification helps analysts to quickly respond and seize opportunities that arise quickly.

Keyword Focus: Real-Time Monitoring and Market Changes

Photon Insights allows financial professionals to set customized alerts that keep them apprised of developments that might present new market opportunities.

5. Improved Visualization

AI-driven data visualization tools offer an effective solution to quickly present complex datasets in an easily digestible manner. Visual representations allow analysts to quickly spot patterns, correlations and outliers for faster decision-making processes.

Keyword Focus: Data Visualization and Market Analysis

Photon Insights offers advanced visualization features, enabling analysts to easily create interactive dashboards that showcase emerging trends and opportunities.

Photon Insights Advantage

Photon Insights stands out in financial analysis by offering an impressive array of artificial intelligence-powered tools designed to identify emerging market opportunities. Here are a few key features of their platform:

1. Complex Data Integration Solutions Provided by HP Services are provided here.

Photon Insights aggregates data from multiple sources, such as market data, news articles and social media posts to provide an integrated view of market conditions and enable analysts to quickly recognize emerging opportunities based on this wide array of information.

2. User-Friendly Interface

The platform boasts an intuitive user interface that simplifies data analysis for financial professionals. Even those without extensive technical expertise can navigate these tools with ease, making the platform accessible even to novices.

Customizable Dashboards

Users can create customized dashboards tailored specifically to their research needs, enabling analysts to focus on the most pertinent data and visualizations when conducting market analysis.

4. Collaboration Tools

Photon Insights facilitates collaboration among team members by providing an environment where they can exchange insights and findings within its platform, creating a more in-depth understanding of market dynamics.

Continuous Learning Opportunities

Photon Insights uses AI algorithms that continually adapt and learn from new data, honing their accuracy and predictive power over time to give analysts access to the most up-to-date insights and trends.

Case Studies of Success With Photon Insights

To demonstrate the impact of AI-powered financial analysis, here are several case studies where Photon Insights has helped organizations identify emerging market opportunities:

Case Study 1 — Investment Firm

One investment firm utilized Photon Insights’ NLP capabilities to assess market sentiment around a newly emerging technology sector. By quickly recognizing positive sentiment trends, timely investments were made in emerging tech startups with positive sentiment scores; as a result, this firm achieved exceptional returns from its investments.

Case Study 2 — Retail Business

One retail business used Photon Insights to keep up-to-date on consumer trends and preferences in real-time. By analyzing social media discussions and market data, they identified an increasing demand for sustainable products that allowed them to switch up their offerings and capture an attractive market niche.

Case 3 — Financial Services Company

One financial services firm utilized Photon Insights’ predictive analytics capabilities to anticipate any market disruptions caused by regulatory changes and develop proactive strategies for mitigating risks and seizing emerging opportunities in compliance-related services.

AI is revolutionizing financial analysis, helping professionals to recognize market opportunities faster and with greater accuracy than ever before. Photon Insights is leading this charge with its suite of AI-powered tools designed to enhance data analysis, predictive modeling, sentiment analysis, real-time monitoring and real-time alerts.

Photon Insights’ AI technologies empower financial analysts to make informed decisions and stay ahead of market trends with precision. As demand for timely insights increases, tools like Photon Insights become essential tools for navigating complex markets and discovering growth opportunities. In a world where data reigns supreme, harnessing the power of AI has become essential.

[jonathanblogs2024]

Unveiling AI Chat bots: The Transformational Role in Modern Customer Service

In today’s fast-moving business world, digital transformation acts as a catalyst to grow efficiently. Amongst several technological advancements that have come to shape this transformation, AI chatbots turn out to be some of the very important game changers in customer service. These intelligent virtual assistants have changed the way businesses communicate with their customers, providing all sorts of advantages, operating 24/7, and engineering experiences tailored just for them. Let us step into how AI chatbots are recreating customer engagement and satisfaction.

The Evolution and Functionality of AI Chatbots

AI chatbots have traversed a long path from being simple query handlers in their initial days. Continuous development in the field of NLP and machine learning elevated these chatbots to work as sophisticated conversational agents. Enabling these chatbots to understand context, intent, and even emotions has converted them into key components of customer service strategy in many industries.

Key Benefits of AI Chatbots in Customer Service

24/7 Availability and Instant Support

Probably the single largest benefit of AI chatbots is that they can work around the clock. Unlike human agents, who require breaks and sleep, machines can work non-stop. As a result, customers receive immediate responses to their questions at any time of the day or night. It is this consistent availability that increases customer satisfaction and fosters loyalty through being there when they most need it.

Increased Scale with Better Efficiency

AI-driven chatbots manage to handle multiple customer conversations simultaneously without affecting the service level. This much-needed scalability in peak periods allows businesses to manage huge volumes of queries with better efficiency. The chatbots automate simple routine tasks and allow human agents to pay more attention to complex issues, thus optimizing resource utilization and operational efficiency.

Consistent and Accurate Responses

AI chatbots are designed to answer repetitive questions over and over again with consistency and accuracy. Using pre-programmed algorithms, they deploy machine learning models that ensure the customer gets the same information at every touch point. Consistency in communication enhances the customer experience, reduces errors, and leads to higher satisfaction scores.

Cost-Effective

AI chatbots in customer service come with huge cost savings. Since the chatbots automate all routine inquiries, it, therefore, reduces the need to employ many workers. This makes the running of a company wallet-friendly, hence opening new ways for budget investment in spheres where human empathy and critical thinking are required.

Personalization and Customer Insights

AI chatbots can personalize interactions based on customer data. They consider the history of a customer’s interactions in real-time and respond accordingly, along with recommendations, to bring improvement in the customer experience. This level of personalization helps build longer-term relationships because it shows customers that they are known and appreciated.

Seamless Omnichannel Integration

Seamless integrations across websites, mobile apps, social media, and messaging services make it omnichannel. This will provide a consistent customer experience irrespective of the channel through which communications are made. Providing a consistent experience will lead to better customer engagement and retention.

Future of AI Chatbots: Innovations and Opportunities

The future of AI chatbots is bright, and continuous innovations are going to further enhance their capabilities. Development in emotional intelligence AI, next-level voice recognition, and augmented reality interfaces is very much in the development stages that promise to transform customer interactions to even higher levels of engagement and satisfaction.

Predictive Analytics and Customer Insights

AI chatbots are also showing crucial participation in predictive analytics. They analyze historical data along with real-time interactions with customers to predict the needs and emerging trends. This proactive way not only keeps the operational efficiency at its best but also helps the businesses stay ahead of the market demand.

Ethical Considerations and Trust

However, AI chatbots also bring with them a few ethical dilemmas on data privacy, transparency, and algorithmic bias. Trust would be built on clear communication, good ethics, and strong measures to ensure sensitive information is indeed protected. Ensuring the integrity of customer interactions will help engender trust in AI-driven systems.

Conclusion

AI chatbots are not only a technological advancement but, in reality, a gateway to achieving customer-oriented service and business development. AI chatbots will enable organizations to enhance operational efficiency, offer personalized experiences, and be more competitive in the digitally driven economy. If a glimpse into the future is sought, then it surely seems that integrating AI chatbots into customer service methods is not an advantage but a sure means of sustaining business relationships and success.

Companies that learn to unlock the full potential of AI chatbots open themselves to limitless possibilities of innovation and customer satisfaction. This, in turn, could create more intuitive, friction less, personalized customer interactions.

[getmoneymethods]

Stay Ahead of the Game in 2024: Top 10 AI Skills for Bigger Earnings!

🚀🤖 Big News for AI Aficionados and Career Go-Getters! 🤖🚀

We've just launched an eye-opening video: "Stay Ahead of the Game in 2024: Top 10 AI Skills for Bigger Earnings!" This is not just another tech talk; it's a deep dive into the future of AI and its impact on our professional lives. 🌐💡

👉 Check it out here: https://youtu.be/NQuY5A6CHoE

In this comprehensive guide, we unravel the mysteries of AI and its transformative role in various sectors. From marketing gurus to financial wizards, e-commerce enthusiasts to HR leaders, there's a wealth of knowledge for everyone. We're talking about real, actionable insights that can shape your career trajectory and boost your earning potential in the AI-driven world of 2024. 📈💼

🔍 What's Inside?

Cutting-edge AI applications in marketing and finance.

The revolution of AI in e-commerce and how it's changing the shopping experience.

AI's role in refining business intelligence and SEO strategies.

The impact of AI on human resources, content creation, and CRM.

The exciting world of AI-enhanced coding and product development.

Whether you're looking to upskill, stay ahead of the curve, or simply satiate your curiosity about the future of technology, this video is your gateway to understanding the top AI skills that matter. 🌟🔧

[mostlysignssomeportents]

How I got scammed

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/02/05/cyber-dunning-kruger/#swiss-cheese-security

I wuz robbed.

More specifically, I was tricked by a phone-phisher pretending to be from my bank, and he convinced me to hand over my credit-card number, then did $8,000+ worth of fraud with it before I figured out what happened. And then he tried to do it again, a week later!

Here's what happened. Over the Christmas holiday, I traveled to New Orleans. The day we landed, I hit a Chase ATM in the French Quarter for some cash, but the machine declined the transaction. Later in the day, we passed a little credit-union's ATM and I used that one instead (I bank with a one-branch credit union and generally there's no fee to use another CU's ATM).

A couple days later, I got a call from my credit union. It was a weekend, during the holiday, and the guy who called was obviously working for my little CU's after-hours fraud contractor. I'd dealt with these folks before – they service a ton of little credit unions, and generally the call quality isn't great and the staff will often make mistakes like mispronouncing my credit union's name.

That's what happened here – the guy was on a terrible VOIP line and I had to ask him to readjust his mic before I could even understand him. He mispronounced my bank's name and then asked if I'd attempted to spend $1,000 at an Apple Store in NYC that day. No, I said, and groaned inwardly. What a pain in the ass. Obviously, I'd had my ATM card skimmed – either at the Chase ATM (maybe that was why the transaction failed), or at the other credit union's ATM (it had been a very cheap looking system).

I told the guy to block my card and we started going through the tedious business of running through recent transactions, verifying my identity, and so on. It dragged on and on. These were my last hours in New Orleans, and I'd left my family at home and gone out to see some of the pre-Mardi Gras krewe celebrations and get a muffalata, and I could tell that I was going to run out of time before I finished talking to this guy.

"Look," I said, "you've got all my details, you've frozen the card. I gotta go home and meet my family and head to the airport. I'll call you back on the after-hours number once I'm through security, all right?"

He was frustrated, but that was his problem. I hung up, got my sandwich, went to the airport, and we checked in. It was total chaos: an Alaska Air 737 Max had just lost its door-plug in mid-air and every Max in every airline's fleet had been grounded, so the check in was crammed with people trying to rebook. We got through to the gate and I sat down to call the CU's after-hours line. The person on the other end told me that she could only handle lost and stolen cards, not fraud, and given that I'd already frozen the card, I should just drop by the branch on Monday to get a new card.

We flew home, and later the next day, I logged into my account and made a list of all the fraudulent transactions and printed them out, and on Monday morning, I drove to the bank to deal with all the paperwork. The folks at the CU were even more pissed than I was. The fraud that run up to more than $8,000, and if Visa refused to take it out of the merchants where the card had been used, my little credit union would have to eat the loss.

I agreed and commiserated. I also pointed out that their outsource, after-hours fraud center bore some blame here: I'd canceled the card on Saturday but most of the fraud had taken place on Sunday. Something had gone wrong.

One cool thing about banking at a tiny credit-union is that you end up talking to people who have actual authority, responsibility and agency. It turned out the the woman who was processing my fraud paperwork was a VP, and she decided to look into it. A few minutes later she came back and told me that the fraud center had no record of having called me on Saturday.

"That was the fraudster," she said.

Oh, shit. I frantically rewound my conversation, trying to figure out if this could possibly be true. I hadn't given him anything apart from some very anodyne info, like what city I live in (which is in my Wikipedia entry), my date of birth (ditto), and the last four digits of my card.

Wait a sec.

He hadn't asked for the last four digits. He'd asked for the last seven digits. At the time, I'd found that very frustrating, but now – "The first nine digits are the same for every card you issue, right?" I asked the VP.

I'd given him my entire card number.

Goddammit.

The thing is, I know a lot about fraud. I'm writing an entire series of novels about this kind of scam:

https://us.macmillan.com/books/9781250865878/thebezzle

And most summers, I go to Defcon, and I always go to the "social engineering" competitions where an audience listens as a hacker in a soundproof booth cold-calls merchants (with the owner's permission) and tries to con whoever answers the phone into giving up important information.

But I'd been conned.

Now look, I knew I could be conned. I'd been conned before, 13 years ago, by a Twitter worm that successfully phished out of my password via DM:

https://locusmag.com/2010/05/cory-doctorow-persistence-pays-parasites/

That scam had required a miracle of timing. It started the day before, when I'd reset my phone to factory defaults and reinstalled all my apps. That same day, I'd published two big online features that a lot of people were talking about. The next morning, we were late getting out of the house, so by the time my wife and I dropped the kid at daycare and went to the coffee shop, it had a long line. Rather than wait in line with me, my wife sat down to read a newspaper, and so I pulled out my phone and found a Twitter DM from a friend asking "is this you?" with a URL.

Assuming this was something to do with those articles I'd published the day before, I clicked the link and got prompted for my Twitter login again. This had been happening all day because I'd done that mobile reinstall the day before and all my stored passwords had been wiped. I entered it but the page timed out. By that time, the coffees were ready. We sat and chatted for a bit, then went our own ways.

I was on my way to the office when I checked my phone again. I had a whole string of DMs from other friends. Each one read "is this you?" and had a URL.

Oh, shit, I'd been phished.

If I hadn't reinstalled my mobile OS the day before. If I hadn't published a pair of big articles the day before. If we hadn't been late getting out the door. If we had been a little more late getting out the door (so that I'd have seen the multiple DMs, which would have tipped me off).

There's a name for this in security circles: "Swiss-cheese security." Imagine multiple slices of Swiss cheese all stacked up, the holes in one slice blocked by the slice below it. All the slices move around and every now and again, a hole opens up that goes all the way through the stack. Zap!

The fraudster who tricked me out of my credit card number had Swiss cheese security on his side. Yes, he spoofed my bank's caller ID, but that wouldn't have been enough to fool me if I hadn't been on vacation, having just used a pair of dodgy ATMs, in a hurry and distracted. If the 737 Max disaster hadn't happened that day and I'd had more time at the gate, I'd have called my bank back. If my bank didn't use a slightly crappy outsource/out-of-hours fraud center that I'd already had sub-par experiences with. If, if, if.

The next Friday night, at 5:30PM, the fraudster called me back, pretending to be the bank's after-hours center. He told me my card had been compromised again. But: I hadn't removed my card from my wallet since I'd had it replaced. Also, it was half an hour after the bank closed for the long weekend, a very fraud-friendly time. And when I told him I'd call him back and asked for the after-hours fraud number, he got very threatening and warned me that because I'd now been notified about the fraud that any losses the bank suffered after I hung up the phone without completing the fraud protocol would be billed to me. I hung up on him. He called me back immediately. I hung up on him again and put my phone into do-not-disturb.

The following Tuesday, I called my bank and spoke to their head of risk-management. I went through everything I'd figured out about the fraudsters, and she told me that credit unions across America were being hit by this scam, by fraudsters who somehow knew CU customers' phone numbers and names, and which CU they banked at. This was key: my phone number is a reasonably well-kept secret. You can get it by spending money with Equifax or another nonconsensual doxing giant, but you can't just google it or get it at any of the free services. The fact that the fraudsters knew where I banked, knew my name, and had my phone number had really caused me to let down my guard.

The risk management person and I talked about how the credit union could mitigate this attack: for example, by better-training the after-hours card-loss staff to be on the alert for calls from people who had been contacted about supposed card fraud. We also went through the confusing phone-menu that had funneled me to the wrong department when I called in, and worked through alternate wording for the menu system that would be clearer (this is the best part about banking with a small CU – you can talk directly to the responsible person and have a productive discussion!). I even convinced her to buy a ticket to next summer's Defcon to attend the social engineering competitions.

There's a leak somewhere in the CU systems' supply chain. Maybe it's Zelle, or the small number of corresponding banks that CUs rely on for SWIFT transaction forwarding. Maybe it's even those after-hours fraud/card-loss centers. But all across the USA, CU customers are getting calls with spoofed caller IDs from fraudsters who know their registered phone numbers and where they bank.

I've been mulling this over for most of a month now, and one thing has really been eating at me: the way that AI is going to make this kind of problem much worse.

Not because AI is going to commit fraud, though.

One of the truest things I know about AI is: "we're nowhere near a place where bots can steal your job, we're certainly at the point where your boss can be suckered into firing you and replacing you with a bot that fails at doing your job":

https://pluralistic.net/2024/01/15/passive-income-brainworms/#four-hour-work-week

I trusted this fraudster specifically because I knew that the outsource, out-of-hours contractors my bank uses have crummy headsets, don't know how to pronounce my bank's name, and have long-ass, tedious, and pointless standardized questionnaires they run through when taking fraud reports. All of this created cover for the fraudster, whose plausibility was enhanced by the rough edges in his pitch - they didn't raise red flags.

As this kind of fraud reporting and fraud contacting is increasingly outsourced to AI, bank customers will be conditioned to dealing with semi-automated systems that make stupid mistakes, force you to repeat yourself, ask you questions they should already know the answers to, and so on. In other words, AI will groom bank customers to be phishing victims.

This is a mistake the finance sector keeps making. 15 years ago, Ben Laurie excoriated the UK banks for their "Verified By Visa" system, which validated credit card transactions by taking users to a third party site and requiring them to re-enter parts of their password there:

https://web.archive.org/web/20090331094020/http://www.links.org/?p=591

This is exactly how a phishing attack works. As Laurie pointed out, this was the banks training their customers to be phished.

I came close to getting phished again today, as it happens. I got back from Berlin on Friday and my suitcase was damaged in transit. I've been dealing with the airline, which means I've really been dealing with their third-party, outsource luggage-damage service. They have a terrible website, their emails are incoherent, and they officiously demand the same information over and over again.

This morning, I got a scam email asking me for more information to complete my damaged luggage claim. It was a terrible email, from a noreply@ email address, and it was vague, officious, and dishearteningly bureaucratic. For just a moment, my finger hovered over the phishing link, and then I looked a little closer.

On any other day, it wouldn't have had a chance. Today – right after I had my luggage wrecked, while I'm still jetlagged, and after days of dealing with my airline's terrible outsource partner – it almost worked.

So much fraud is a Swiss-cheese attack, and while companies can't close all the holes, they can stop creating new ones.

Meanwhile, I'll continue to post about it whenever I get scammed. I find the inner workings of scams to be fascinating, and it's also important to remind people that everyone is vulnerable sometimes, and scammers are willing to try endless variations until an attack lands at just the right place, at just the right time, in just the right way. If you think you can't get scammed, that makes you especially vulnerable:

https://pluralistic.net/2023/02/24/passive-income/#swiss-cheese-security

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[cfbetabankruptt]

You're broken for brianna...

The ache in those balls reminds you how owned you are 😈

That empty wallet reminds you even more.

I hadn't posted about no Nut November yet for a reason...

It's because I don't think you should get to nut ever 😈

Having a special month implies you get too at all...

[photon-insights]

Transforming Due Diligence: The AI Advantage — Photon Insights”

Due diligence is an important aspect in the industry of finance, that can turn tables during a business deal. Generally, due diligence is done manually with a team of wealth managers & business analysts. However manual work is often prone to errors and can have a huge impact when it comes to choosing potential business partners or companies for investments.

But thanks to recent technological advancements, AI is revolutionizing the due diligence process with intense data mining techniques and machine learning algorithms.

Understanding Due Diligence

The term “due diligence” refers to the activities a wealth manager has to perform before they get into an agreement with a company. The agreement can be to build short/long term investment or partnership based on current market analysis.

This involves a deep investigation of risk factors, investment opportunities, acquisitions, and overall value. The process of due diligence can have various aspects & can be divided into the following,

Financial Due Diligence refers to the investigation of financial statements. Like, current or previous tax records, monitoring accounting practices, and the overall financial health of an organization.

Legal Due Diligence refers to the examination of legal contracts, compliances, and liabilities of any organization.

Operational Due Diligence refers to the analysis of the management structure. Like, business models, operational processes, supply chains, etc. of any organization.

Commercial Due Diligence refers to the evaluation of market value, active competitors, customer interaction, and growth potential of any potential portfolio.

All these aspects are investigated thoroughly to get quality insights into the target company and identify if that particular company fits into your client’s desired set of goals. The aim of conducting the process of due diligence is to analyze whether a company is suitable or not.

How AI is Revolutionizing Due Diligence?

There are many challenges with current methods of performing due diligence. Like error margin on manual analysis while working with multiple companies. This includes analysis of huge amounts of data when it comes to time and efficiency, and so on.

To handle these limitations Photon Insights AI-enabled tools are beneficial in unfolding potential risks and analyzing the market trends. The tool ensures to bring out key insights of the target companies with real-time data provided by multiple machine learning & AI techniques.

Following are the key aspects where AI is revolutionizing due diligence,

Data Collection & Analysis with AI– The Photon Insights AI-enabled tools help in collecting useful pieces of information from the internet as well as uploaded research documents.

Automatic Document Review with AI — Our tool is great for reviewing documents and checking whether they comply with the current regulatory & legal clauses. To understand the importance of regulatory compliance in due diligence; our tool provides indications of potential red flags and risks by quickly analyzing the documents.

Financial Modeling and Forecasting with AI — The Photon Insights AI tool is designed specifically to cater to the financial industry. It is an expert in analyzing huge financial data and generating optimized financial models. It also provides key insights on current market trends, past financial trends, and potential risk factors to support your due diligence process.

Fraud detection using AI– AI algorithms can identify fraudulent patterns and immediately flag those points. These patterns can be irregularities in business transactions or deviations from expected norms. This allows unparalleled assistance to wealth managers in the due diligence process.

Team collaboration & management — Photon Insights AI tool has a great feature for team collaboration. Where you can easily create your team & share your research with them. You and your team can engage in intelligent conversation with the tool on the data retrieved from the most up-to-date resources and your personal research documents. Getting insights, feedback, and streamlining workflow will become so much easier with the Photon Insights AI tool.

Road Ahead

Although the Photon Insights AI tool can perform the entire due diligence process. But instead of using it as a standalone solution for all your financial research and data processing. If you use it as an assistant to optimize your work, the tool will yield the best results. Your approach with AI-enabled due diligence must consist of the following steps,

Data collection and integration from various reliable resources or internal databases.

Data processing, cleaning, formatting, and structuring the collected data.

Implementing AI-enabled analysis using advanced machine learning algorithms, natural language processing & advanced analytics to extract insights, patterns, and sentiments.

Human experts shall review and validate the AI-generated insights with their years of experience & domain knowledge. The AI-enabled analysis combined with human expertise extracts the 100% power of the Photon Insights AI tool.

Generating reports and making decisions based on the recommendations of the AI-enabled analysis & human review.

The due diligence is a process that uncovers the hidden risks and opportunities. The combined approach of humans and AI supports an efficient due diligence process.

Conclusion

Artificial Intelligence is a game-changing technology that can be used to achieve unexpected efficiency & insights. With correct knowledge and skills, AI-powered tools can bring in a significant enhancement in tasks like data aggregation, document reviewing, generating financial models, and more. Embrace this revolution with Photon Insights and request a demo today!

[digitalxonixblogs]

The Impact of AI on Enhancing Risk Analysis in Financial and Corporate Research.

In the current financial environment, which is fast-paced the ability to measure risks accurately and efficiently is essential. As businesses navigate the complex world of finance and complex financial markets, the introduction technology such as Artificial intelligence (AI) has transformed risk assessment processes for corporate and financial research. Photon Insights stands out as the leader in making use of AI technology to boost these vital functions, offering tools that do not just improve accuracy, but also enable more informed decision-making.

The Importance of Risk Assessment

The process of risk assessment involves a approach to identifying, analyzing and addressing possible threats that could affect the financial health of an organization. For corporate and financial research, a sound risk assessment can help stakeholders comprehend the risks of volatility in markets as well as operational failures, defaults on credit as well as regulatory compliance concerns. A thorough risk assessment enables companies to make better choices, efficiently allocate resources and minimize the potential loss.

Challenges in Traditional Risk Assessment

Traditional risk assessment techniques typically use historical data and manual processes. These are time-consuming and susceptible to human errors. The main challenges are:

1. Data Overload Financial institutions are flooded with huge amounts of information from a variety of data sources. This makes it hard to gain relevant insights.

2. “Lagging Indices” Traditional risk assessment usually depends on lagging indicators which could not accurately predict the future risk, which can lead to the use of reactive strategies rather than proactive.

3. Subjectivity and bias Human analysts could cause bias in their assessments, affecting the objectivity of risk assessments and ultimately leading to poor decision-making.

4. Inefficiency Manual processes can drag the timeframe for assessment and make firms more exposed to rapidly changing market conditions.

AI-Powered Risk Assessment

AI technologies, specifically the use of machine learning as well as natural language processing provide innovative solutions to these problems. Through automating data analysis and providing prescriptive insight, AI significantly enhances the risk assessment process.

Key Benefits of AI in Risk Assessment

1. “Enhanced Processing of Data AI algorithms can analyse massive data sets quickly, identifying patterns and patterns that analysts might miss. This allows companies to make use of real-time data in more precise risk assessments.

2. “Predictive Analytics: AI can predict future dangers by studying the past and identifying patterns. This proactive approach lets companies to anticipate possible problems and to take preventive steps.

3. Automating Routine Tasks; Automating repetitive tasks, like data collection or preliminary analysis AI lets human analysts concentrate on higher-order strategic thinking and making decisions.

4. Bias Protection AI systems are created to eliminate biases in human analyses and provide more accurate risk assessment. With the help of data-driven insights companies can improve the credibility of their assessments.

5. Continuous Learning: AI systems improve over time through learning from the new inputs of data which makes risk assessments more precise and a reflection of current market conditions.

Photon Insights: Transforming Risk Assessment

Photon Insights illustrates the efficient integration of AI into corporate and financial research. With advanced analysis and risk assessment tools this platform allows organizations to improve their decision-making process. Let’s see what Photon Insights is transforming risk assessment:

1. “Comprehensive data Integrations : Photon Insights aggregates data from a variety of sources, such as the financial report, trends in markets as well as news reports. This method of integration allows organizations to get a complete understanding of risks.

2. Real-Time Analytics The platform provides real-time data that helps businesses keep ahead of changes in the market. With the latest information available firms can modify their strategies quickly, while limiting the risk of being exposed to.

3. User-Friendly Interface Photon Insights offers an intuitive interface that makes it simple for analysts and decision makers to use the platform. This ease of use encourages adoption and helps facilitate collaboration between teams.

4. Customizable risk models Businesses can modify risk assessment models to meet their particular needs. Photon Insights allows users to develop custom algorithms that reflect their own risk profile which can enhance the usefulness of the information.

5. “Scalability”: as businesses grow, their risk management requirements change. Photon Insights is designed to grow with businesses, making sure that they have the right tools to effectively manage risk as they grow.

Real-World Applications

The use to AI for risk analysis using Photon Insights is already yielding substantial benefits to various sectors. For instance:

“Banking and Finance Financial institutions use automated risk management tools that assess credit risk more precisely and result in more effective lending decisions and lower default rates.

Insurance: Insurance companies employ AI to determine the risk of underwriting through the analysis of applicant data as well as historical claims, which results in more precise premium pricing.

Corporate Governance companies are implementing AI to assess operational risks, compliance concerns along with market dynamic, improving general corporate management.

Future Implications

Future risk assessments in corporate and financial studies will change as technology advances AI technology. As companies increasingly depend on AI to make decisions, a number of tendencies are expected to be observed:

1.Integration between AI as well as humans Insight: Although AI will play an important role in the analysis of data but human judgment will be vital in the process of understanding results and making strategic choices. Combining AI capabilities with human insight will provide more efficient risk management.

2. Increased Regulatory scrutiny: As AI becomes more commonplace in risk assessment, regulators will likely to establish stricter guidelines regarding the use of AI. Companies must be ready to show transparency and accountability when using AI in their processes.

3. Expanding into New Markets; As AI technology advances its applications will go beyond traditional financial industries and offer the latest risk assessment tools to new markets and industries.

4. Focus On Ethical AI: In order to ensure ethical use of AI is of paramount importance. The organizations will have to prioritize transparency, accountability, fairness and transparency when developing their AI models in order to ensure the trust of their stakeholders.

Conclusion

AI is fundamentally altering the risk assessment landscape in corporate and financial research. Through automating data analysis, delivering the ability to predict and improve the objectivity of research, AI empowers organizations to make better decisions in a complex world. Photon Insights stands at the forefront of this change by providing cutting-edge tools that help companies manage risk effectively and strategically. As the use of AI is evolving and grow, companies that embrace these advances are better prepared to succeed in the ever-changing world of finance, ensuring longevity and success.

[innermost-memoirs]

There has got to be nothing more soul-sucking and devoid of humanity than being a "money minded" individual. If all you care about is profit, you immediately lose sight of morality.

Why is it considered immoral for a poor person to refuse to work themselves to the bone, but it's not immoral for the wealthy to squeeze desperate people of every penny they have in order to hoard incomprehensible amounts of money?

Why are the poorest people expected to never treat themselves to a nice meal or something they want, while the ultra rich eat gold and take 15 minute private jet flights guilt-free?

Why are there income caps on how much money a disabled person can save, but not how much money a billionaire can have?

Why is it okay to value a dollar more than a real life human being getting food, clean water, healthcare, and shelter?

How are poor people the selfish ones, when our planet is poisoned and destroyed by megacorps in the name of what's profitable?

Even the most basic expressions of human emotion and experiences are being gutted and replaced by hollow machinations because it's cheaper than paying a real artist, writer, developer, or creative to do the job.

We have enough resources for everyone on this earth to have a decent lifestyle, yet when we ask for the bare minimum we get a finger wagged in our face and told not to ask for too much.

It's maddening.

[thesirencult]

WHY INVESTING IN YOURSELF WILL CHANGE YOUR LIFE

"The best thing you can do is to be exceptionally good at something," said Buffett. He added, "Whatever abilities you have can't be taken away from you. They can't actually be inflated away from you. ... So the best investment by far is anything that develops yourself, and it's not taxed at all."

- Warren Buffet

There is a reason people call Mr. Buffet the "Oracle/Sage Of Omaha".

Not only he is great at asset management and making the right predictions when it comes to the financial markets, but he is also very wise and offers great advice.

Investing in your own self is the only type of investment you can make that is absolutely safe and guaranteed to give you a return on investment that would satisfy you.

Knowledge is fuel. You are the vehicle.

We are living in times of abundance. Knowledge and data curation is the hottest skill someone can learn right now. That's what AI models like ChatGPT do. They curate useful data from trash. That's what you should also do with your mind. Throw out what's hindering your growth and feed your brain with nutritious food for thought.

We are nearing the "Age Of Abundance", the Golden Saturnian Age of our times. Don't fall into oblivion.

The resources are within a finger's reach. You are actually holding the most precious asset in your hands right now, that's how I reached you.

Whoever takes advantage of this situation will succeed.

Read books, articles, essays. Watch videos and documentaries. Educate yourself for free. If you have the ability to get a university degree for free, do it ! Don't fall in the trap of "degrees are useless". Instead choose to educate yourself in subjects that interest you and make you even more savvy. Invest in evergreen skills. Learn content creation, marketing and money management. Study philosophy to learn the art of critical thinking.

In the next 10 years we will all transform from 9 to 5 slaves to freelancers and one-person businesses. This is where we are headed. Notice all the lay-offs and how artificial intelligence has taken the world by storm.

Be proactive.

[lovebites-posts]

Go to hell