#AI-driven real-time financial modeling

[technologyequality]

AI-Powered Decision-Making: How to Execute with Precision and Confidence

AI-Powered Decision-Making How to Execute with Precision and Confidence Scaling a business is one thing, but making the right decisions at the right time? That’s the real challenge. We’ve already explored AI-powered leadership, customer experience, innovation, and strategic planning. Now, it’s time to connect the dots and focus on something that determines whether all of those efforts succeed…

[longlistshort]

“Radiating Kindness (Oil)”, 2023, Oil on linen

“Bold Glamour”, 2023, Digital print on linen

For AI Paintings, Matthew Stone‘s 2023 exhibition at The Hole’s Lower East Side location, he explored new ways of using the latest technology while expanding on techniques used in his previous digital creations.

Details from The Hole about this exhibition-

Two LED screens form the center of this show, displaying an unedited stream of novel AI outputs; a new painting every ten seconds. Corresponding in scale to the surrounding works on linen and functioning like smart canvases, these AI paintings transform endlessly and if you’re alone in the gallery, you will be the only person to ever see that version of the artwork.

Stone’s AI paintings—both the tangible on linen and the fleeting screenic pieces—are created through his training of a custom AI model on top of Stable Diffusion’s open source, deep learning, text-to-image model. By feeding it only his past artworks, Stone has created a self-reflexive new series of AI works that disintegrates the hegemony of the singular static masterpiece and problematizes the idea of ownership, or even what “the artwork” itself entails.

AI has become part of contemporary culture, used to solve real world problems and also create TikTok filters. It’s a tool and like a paintbrush it can be used skillfully or not. At the moment AI is throwing the art world into upheaval as artists explore its potential, galleries contend with its disruption of technique and presentation and collectors and museums feel the dissolution of authorship and ownership.

A second type of work makes its debut here, Radiating Kindness (Oil), a 3D printed, machine-assisted oil painting made in collaboration with ARTMATR labs in Red Hook, where MIT artists and engineers have come together to make innovative tools and tech. By leveraging AI, robotics, computer vision and painting scripts, their robot has created a traditional oil painting in three dimensions. You can see on the surface how the interplay between analog and digital mark making is eye-boggling.

The show also includes examples of Stone’s “traditional” technique, which is anything but: on the 13-foot wide linen painting, Irradiance, four nude figures dance over piles of strewn AI paintings. The figures in the foreground, reminiscent in choreography of Henri Matisse’s Dance (La Dance), 1910, are bodacious, athletic women, heavy and sexy like a Michelangelo marble while at the same time futuristic, weightless and splendid in impossible glass and metallic brush marks. Here Stone’s circular and sensitive approach is laid bare for the viewer, the references to art history, technology, culture, access and the pursuit for the intangible is almost overwhelming to grasp.

Stone’s approach points to the deeply interwoven nature of our offline and online lives today. He sees artists’ use of new technologies as necessary, with creatives deploying these tools in a manner that’s not motivated by big tech or financial gains, disrupting the algorithm by creating their own and exploring this new frontier without data-driven deliverables. Creating new context and room for human subjectivities and emotion in the shift from analog to digital that arguably has already occurred.

Below, in an interview for The Standard, he discusses using AI for this work further-

When working with AI, do you sometimes feel overwhelmed or do you always feel in control? I have never felt fully in control while making art and I’ve always been back and forth between wanting to be and understanding the transformative and creative power of just letting go. The most exciting moments in my creative process have often been unexpected mistakes. Those happy mistakes have revealed something that can then be consciously amplified. Using AI creates lots of unexpected outcomes very fast. So as someone who likes accidents in this context of image making, it’s a good way to become accident-prone.

Do you consider AI as just another digital tool? Or does it feel more like a collaboration? In other words, do you sometimes feel AI might develop its own taste, point of view, conscience? It’s a digital tool and I try to resist the urge to anthropomorphize it. But it’s difficult because it feels like such a paradigm shift and also sometimes like dreaming. I think that culturally speaking, we are moving in a direction that assigns these qualities of perceived sentience to AI even when more mundane actions are at play. It’s not clear to me how we will tell if AI has achieved general intelligence, but I think most people will assume it to be the case long before it actually happens, assuming that it does.

[dertaglichedan]

xAI & X Merger Defuses Musk's Tesla Share Liquidation Risk

Elon Musk secured a multibillion-dollar margin loan using Tesla stock as collateral to finance his acquisition of Twitter (now rebranded as X). In recent months, Tesla’s share price has been cut in half due to a confluence of factors—slowing EV demand amid high interest rates, shifting electric vehicle policies under the Trump administration, market volatility driven by trade tensions, and pressure from a coordinated NGO-driven color revolution known as “Tesla Takedown,” aimed at crashing the stock to trigger loan repayment obligations tied to Musk’s pledged equity.

In short, volatility in Tesla shares left Musk heavily exposed to potential loan repayment thresholds being triggered - which was set to occur at or below $114 according to reports - until now.

On Friday evening, Musk announced the merger of X with his AI startup, xAI, in an all-stock transaction that strengthens his financial position, protects Tesla shareholders, and renders the Tesla Takedown color revolution largely ineffective in achieving its intended goal. 

Musk outlined xAI's acquisition of X:

xAI has acquired X in an all-stock transaction. The combination values xAI at $80 billion and X at $33 billion ($45B less $12B debt).

Since its founding two years ago, xAI has rapidly become one of the leading AI labs in the world, building models and data centers at unprecedented speed and scale.

X is the digital town square where more than 600M active users go to find the real-time source of ground truth and, in the last two years, has been transformed into one of the most efficient companies in the world, positioning it to deliver scalable future growth.

xAI and X's futures are intertwined. Today, we officially take the step to combine the data, models, compute, distribution and talent. This combination will unlock immense potential by blending xAI's advanced AI capability and expertise with X's massive reach. The combined company will deliver smarter, more meaningful experiences to billions of people while staying true to our core mission of seeking truth and advancing knowledge. This will allow us to build a platform that doesn't just reflect the world but actively accelerates human progress.

I would like to recognize the hardcore dedication of everyone at xAI and X that has brought us to this point. This is just the beginning.

[dearestscript]

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[ixnai]

Artificial Intelligence is not infallible. Despite its rapid advancements, AI systems often falter in ways that can have profound implications. The crux of the issue lies in the inherent limitations of machine learning algorithms and the data they consume.

AI systems are fundamentally dependent on the quality and scope of their training data. These systems learn patterns and make predictions based on historical data, which can be biased, incomplete, or unrepresentative. This dependency can lead to significant failures when AI is deployed in real-world scenarios. For instance, facial recognition technologies have been criticized for their higher error rates in identifying individuals from minority groups. This is a direct consequence of training datasets that lack diversity, leading to skewed algorithmic outputs.

Moreover, AI’s reliance on statistical correlations rather than causal understanding can result in erroneous conclusions. Machine learning models excel at identifying patterns but lack the ability to comprehend the underlying causal mechanisms. This limitation is particularly evident in healthcare applications, where AI systems might identify correlations between symptoms and diseases without understanding the biological causation, potentially leading to misdiagnoses.

The opacity of AI models, often referred to as the “black box” problem, further exacerbates these issues. Many AI systems, particularly those based on deep learning, operate in ways that are not easily interpretable by humans. This lack of transparency can hinder the identification and correction of errors, making it difficult to trust AI systems in critical applications such as autonomous vehicles or financial decision-making.

Additionally, the deployment of AI can inadvertently perpetuate existing societal biases and inequalities. Algorithms trained on biased data can reinforce and amplify these biases, leading to discriminatory outcomes. For example, AI-driven hiring tools have been shown to favor candidates from certain demographics over others, reflecting the biases present in historical hiring data.

The potential harm caused by AI is not limited to technical failures. The widespread adoption of AI technologies raises ethical concerns about privacy, surveillance, and autonomy. The use of AI in surveillance systems, for instance, poses significant risks to individual privacy and civil liberties. The ability of AI to process vast amounts of data and identify individuals in real-time can lead to intrusive monitoring and control by governments or corporations.

In conclusion, while AI holds immense potential, it is crucial to recognize and address its limitations and the potential harm it can cause. Ensuring the ethical and responsible development and deployment of AI requires a concerted effort to improve data quality, enhance model transparency, and mitigate biases. As we continue to integrate AI into various aspects of society, it is imperative to remain vigilant and critical of its capabilities and impacts.

[pranjj]

Udaan by InAmigos Foundation:  Elevating Women, Empowering Futures

In the rapidly evolving socio-economic landscape of India, millions of women remain underserved by mainstream development efforts—not due to a lack of talent, but a lack of access. In response, Project Udaan, a flagship initiative by the InAmigos Foundation, emerges not merely as a program, but as a model of scalable women's empowerment.

Udaan—meaning “flight” in Hindi—represents the aspirations of rural and semi-urban women striving to break free from intergenerational limitations. By engineering opportunity and integrating sustainable socio-technical models, Udaan transforms potential into productivity and promise into progress.

Mission: Creating the Blueprint for Women’s Self-Reliance

At its core, Project Udaan seeks to:

Empower women with industry-aligned, income-generating skills

Foster micro-entrepreneurship rooted in local demand and resources

Facilitate financial and digital inclusion

Strengthen leadership, health, and rights-based awareness

Embed resilience through holistic community engagement

Each intervention is data-informed, impact-monitored, and custom-built for long-term sustainability—a hallmark of InAmigos Foundation’s field-tested grassroots methodology.

A Multi-Layered Model for Empowerment

Project Udaan is built upon a structured architecture that integrates training, enterprise, and technology to ensure sustainable outcomes. This model moves beyond skill development into livelihood generation and measurable socio-economic change.

1. Skill Development Infrastructure

The first layer of Udaan is a robust skill development framework that delivers localized, employment-focused education. Training modules are modular, scalable, and aligned with the socio-economic profiles of the target communities.

Core domains include:

Digital Literacy: Basic computing, mobile internet use, app navigation, and digital payment systems

Tailoring and Textile Production: Pattern making, machine stitching, finishing techniques, and indigenous craft techniques

Food Processing and Packaging: Pickle-making, spice grinding, home-based snack units, sustainable packaging

Salon and Beauty Skills: Basic grooming, hygiene standards, customer interaction, and hygiene protocols

Financial Literacy and Budgeting: Saving schemes, credit access, banking interfaces, micro-investments

Communication and Self-Presentation: Workplace confidence, customer handling, local language fluency

2. Microenterprise Enablement and Livelihood Incubation

To ensure that learning transitions into economic self-reliance, Udaan incorporates a post-training enterprise enablement process. It identifies local market demand and builds backward linkages to equip women to launch sustainable businesses.

The support ecosystem includes:

Access to seed capital via self-help group (SHG) networks, microfinance partners, and NGO grants

Distribution of startup kits such as sewing machines, kitchen equipment, or salon tools

Digital onboarding support for online marketplaces such as Amazon Saheli, Flipkart Samarth, and Meesho

Offline retail support through tie-ups with local haats, trade exhibitions, and cooperative stores

Licensing and certification where applicable for food safety or textile quality standards

3. Tech-Driven Monitoring and Impact Tracking

Transparency and precision are fundamental to Udaan’s growth. InAmigos Foundation employs its in-house Tech4Change platform to manage operations, monitor performance, and scale the intervention scientifically.

The platform allows:

Real-time monitoring of attendance, skill mastery, and certification via QR codes and mobile tracking

Impact evaluation using household income change, asset ownership, and healthcare uptake metrics

GIS-based mapping of intervention zones and visualization of under-reached areas

Predictive modeling through AI to identify at-risk participants and suggest personalized intervention strategies

 

Human-Centered, Community-Rooted

Empowerment is not merely a process of economic inclusion—it is a cultural and psychological shift. Project Udaan incorporates gender-sensitive design and community-first outreach to create lasting change.

Key interventions include:

Strengthening of SHG structures and women-led federations to serve as peer mentors

Family sensitization programs targeting male allies—fathers, husbands, brothers—to reduce resistance and build trust

Legal and rights-based awareness campaigns focused on menstrual hygiene, reproductive health, domestic violence laws, and maternal care

Measured Impact and Proven Scalability

Project Udaan has consistently delivered quantifiable outcomes at the grassroots level. As of the latest cycle:

Over 900 women have completed intensive training programs across 60 villages and 4 districts

Nearly 70 percent of participating women reported an average income increase of 30 to 60 percent within 9 months of program completion

420+ micro-enterprises have been launched, 180 of which are now self-sustaining and generating employment for others

More than 5,000 indirect beneficiaries—including children, elderly dependents, and second-generation SHG members—have experienced improved access to nutrition, education, and mobility

Over 20 institutional partnerships and corporate CSR collaborations have supported infrastructure, curriculum design, and digital enablement.

Partnership Opportunities: Driving Collective Impact

The InAmigos Foundation invites corporations, philanthropic institutions, and ecosystem enablers to co-create impact through structured partnerships.

Opportunities include:

Funding the establishment of skill hubs in high-need regions

Supporting enterprise starter kits and training batches through CSR allocations

Mentoring women entrepreneurs via employee volunteering and capacity-building workshops

Co-hosting exhibitions, market linkages, and rural entrepreneurship fairs

Enabling long-term research and impact analytics for policy influence

These partnerships offer direct ESG alignment, brand elevation, and access to inclusive value chains while contributing to a model that demonstrably works.

What Makes Project Udaan Unique?

Unlike one-size-fits-all skilling programs, Project Udaan is rooted in real-world constraints and community aspirations. It succeeds because it combines:

Skill training aligned with current and emerging market demand

Income-first design that integrates microenterprise creation and financial access

Localized community ownership that ensures sustainability and adoption

Tech-enabled operations that ensure transparency and iterative learning

Holistic empowerment encompassing economic, social, and psychological dimensions

By balancing professional training with emotional transformation and economic opportunity, Udaan represents a new blueprint for inclusive growth.

 From Promise to Power

Project Udaan, driven by the InAmigos Foundation, proves that when equipped with tools, trust, and training, rural and semi-urban women are capable of becoming not just contributors, but catalysts for socio-economic renewal.

They don’t merely escape poverty—they design their own systems of progress. They don’t just participate—they lead.

Each sewing machine, digital training module, or microloan is not a transaction—it is a declaration of possibility.

This is not charity. This is infrastructure. This is equity, by design.

Udaan is not just a program. It is a platform for a new India.

For partnership inquiries, CSR collaborations, and donation pathways, contact: www.inamigosfoundation.org/Udaan Email: partnerships@inamigosfoundation.org

[hypocrite-human]

AI & IT'S IMPACT

Unleashing the Power: The Impact of AI Across Industries and Future Frontiers

Artificial Intelligence (AI), once confined to the realm of science fiction, has rapidly become a transformative force across diverse industries. Its influence is reshaping the landscape of how businesses operate, innovate, and interact with their stakeholders. As we navigate the current impact of AI and peer into the future, it's evident that the capabilities of this technology are poised to reach unprecedented heights.

1. Healthcare:

In the healthcare sector, AI is a game-changer, revolutionizing diagnostics, treatment plans, and patient care. Machine learning algorithms analyze vast datasets to identify patterns, aiding in early disease detection. AI-driven robotic surgery is enhancing precision, reducing recovery times, and minimizing risks. Personalized medicine, powered by AI, tailors treatments based on an individual's genetic makeup, optimizing therapeutic outcomes.

2. Finance:

AI is reshaping the financial industry by enhancing efficiency, risk management, and customer experiences. Algorithms analyze market trends, enabling quicker and more accurate investment decisions. Chatbots and virtual assistants powered by AI streamline customer interactions, providing real-time assistance. Fraud detection algorithms work tirelessly to identify suspicious activities, bolstering security measures in online transactions.

3. Manufacturing:

In manufacturing, AI is optimizing production processes through predictive maintenance and quality control. Smart factories leverage AI to monitor equipment health, reducing downtime by predicting potential failures. Robots and autonomous systems, guided by AI, enhance precision and efficiency in tasks ranging from assembly lines to logistics. This not only increases productivity but also contributes to safer working environments.

4. Education:

AI is reshaping the educational landscape by personalizing learning experiences. Adaptive learning platforms use AI algorithms to tailor educational content to individual student needs, fostering better comprehension and engagement. AI-driven tools also assist educators in grading, administrative tasks, and provide insights into student performance, allowing for more effective teaching strategies.

5. Retail:

In the retail sector, AI is transforming customer experiences through personalized recommendations and efficient supply chain management. Recommendation engines analyze customer preferences, providing targeted product suggestions. AI-powered chatbots handle customer queries, offering real-time assistance. Inventory management is optimized through predictive analytics, reducing waste and ensuring products are readily available.

6. Future Frontiers:

A. Autonomous Vehicles: The future of transportation lies in AI-driven autonomous vehicles. From self-driving cars to automated drones, AI algorithms navigate and respond to dynamic environments, ensuring safer and more efficient transportation. This technology holds the promise of reducing accidents, alleviating traffic congestion, and redefining mobility.

B. Quantum Computing: As AI algorithms become more complex, the need for advanced computing capabilities grows. Quantucm omputing, with its ability to process vast amounts of data at unprecedented speeds, holds the potential to revolutionize AI. This synergy could unlock new possibilities in solving complex problems, ranging from drug discovery to climate modeling.

C. AI in Creativity: AI is not limited to data-driven tasks; it's also making inroads into the realm of creativity. AI-generated art, music, and content are gaining recognition. Future developments may see AI collaborating with human creators, pushing the boundaries of what is possible in fields traditionally associated with human ingenuity.

In conclusion, the impact of AI across industries is profound and multifaceted. From enhancing efficiency and precision to revolutionizing how we approach complex challenges, AI is at the forefront of innovation. The future capabilities of AI hold the promise of even greater advancements, ushering in an era where the boundaries of what is achievable continue to expand. As businesses and industries continue to embrace and adapt to these transformative technologies, the synergy between human intelligence and artificial intelligence will undoubtedly shape a future defined by unprecedented possibilities.

[tech4bizsolutions]

Tech4Biz Solutions’ Showcase: Driving Future-Ready Business with Cutting-Edge Innovations

In a world where technology is reshaping industries at an unprecedented pace, businesses must adapt to stay competitive. Tech4Biz Solutions has emerged as a trailblazer in providing future-ready business solutions that empower organizations to thrive in the digital age. With a comprehensive portfolio of offerings showcased on its platform, Tech4Biz Solutions is helping businesses unlock new possibilities and drive long-term growth.

1. Embracing Innovation for Business Growth

Innovation is no longer optional—it’s essential for business success. Companies need to adopt cutting-edge technologies to enhance their processes, improve customer experiences, and respond to evolving market demands. Tech4Biz Solutions understands the transformative power of technology and has developed a range of solutions that cater to the unique needs of different industries.

The company’s Showcase platform is a testament to its commitment to innovation, offering businesses a window into the latest advancements and success stories that demonstrate the impact of its solutions.

2. Key Offerings from Tech4Biz Solutions

Tech4Biz Solutions’ Showcase features a diverse range of services designed to accelerate business transformation. Here’s a closer look at some of its standout offerings:

Digital Twins for Operational Optimization: By creating virtual models of physical assets and processes, businesses can gain real-time insights and make data-driven decisions to improve operational efficiency.

Custom AI Models for Cybersecurity: With cyber threats growing more sophisticated, Tech4Biz provides AI-driven models that proactively detect and mitigate security risks.

Cloud Infrastructure Deployment: Tech4Biz helps businesses transition to the cloud with scalable, reliable infrastructure that supports agility and growth.

Learning Management Systems (LMS): From training to professional development, Tech4Biz’s LMS solutions make it easy for companies to upskill employees and stay competitive in today’s knowledge-driven economy.

These offerings are designed to deliver tangible results, helping businesses enhance productivity, reduce risks, and create new growth opportunities.

3. Real-World Impact: Case Studies from the Showcase

One of the most compelling features of the Tech4Biz Solutions Showcase is its portfolio of case studies. These success stories illustrate how businesses across industries have leveraged Tech4Biz’s solutions to achieve remarkable outcomes.

Manufacturing Excellence: A manufacturing company used Tech4Biz’s digital twin technology to reduce downtime and improve production efficiency by 20%.

Retail Transformation: A retailer partnered with Tech4Biz to deploy cloud infrastructure, resulting in a 25% increase in online sales and improved customer engagement.

Cybersecurity Strengthening: A financial services firm adopted Tech4Biz’s AI-powered cybersecurity solutions, which helped prevent data breaches and ensured compliance with industry regulations.

These examples highlight the real-world benefits of adopting cutting-edge innovations from Tech4Biz Solutions.

4. A Customer-Centric Approach to Innovation

At the heart of Tech4Biz Solutions’ success is its commitment to a customer-centric approach. The company tailors its solutions to meet the specific needs of each client, ensuring maximum impact and long-term success.

Here’s how Tech4Biz ensures its solutions are effective:

Customized Solutions: Every business is different, and Tech4Biz takes the time to understand each client’s unique challenges and goals before developing a tailored solution.

Seamless Integration: Tech4Biz ensures its solutions integrate smoothly with existing systems, minimizing disruptions and maximizing efficiency.

Expert Consultation: Clients benefit from access to experienced professionals who provide strategic guidance and support throughout the implementation process.

Continuous Support: Tech4Biz offers ongoing support and training to help clients get the most out of their technology investments.

This comprehensive approach ensures businesses can fully leverage the potential of Tech4Biz’s innovations.

5. Preparing Businesses for the Future

Tech4Biz Solutions is committed to staying ahead of emerging trends and technologies, ensuring its clients are always prepared for what’s next. The company’s forward-thinking approach includes:

Advanced Automation: Developing new automation tools to streamline workflows and free up human resources for higher-value tasks.

Predictive Analytics: Leveraging data to provide businesses with actionable insights and better decision-making capabilities.

Sustainability Solutions: Focusing on eco-friendly innovations that help businesses reduce their environmental impact while maintaining profitability.

These initiatives position Tech4Biz Solutions as a leader in driving future-ready business transformation.

6. Unlocking Potential with Tech4Biz Solutions

Tech4Biz Solutions’ Showcase is more than just a platform—it’s a roadmap for businesses looking to navigate the complexities of the digital era. By exploring the Showcase, businesses can discover the latest innovations and see firsthand how Tech4Biz’s solutions can help them achieve their transformation goals.

Whether it’s optimizing operations, enhancing cybersecurity, or transitioning to the cloud, Tech4Biz Solutions has the expertise and resources to empower businesses at every stage of their journey.

Conclusion

Tech4Biz Solutions is at the forefront of delivering cutting-edge innovations that drive business transformation. With a robust portfolio of services and a customer-centric approach, the company is helping businesses unlock new opportunities and stay competitive in an ever-evolving landscape.

Explore the Tech4Biz Solutions Showcase today to discover how your business can become future-ready with the latest technological advancements. Together, we can shape the future of business transformation.

For more details, reachout us: https://showcase.tech4bizsolutions.com/.

[vibeventurehub]

25 Passive Income Ideas to Build Wealth in 2025

Passive income is a game-changer for anyone looking to build wealth while freeing up their time. In 2025, technology and evolving market trends have opened up exciting opportunities to earn money with minimal ongoing effort. Here are 25 passive income ideas to help you grow your wealth:

1. Dividend Stocks

Invest in reliable dividend-paying companies to earn consistent income. Reinvest dividends to compound your returns over time.

2. Real Estate Crowdfunding

Join platforms like Fundrise or CrowdStreet to invest in real estate projects without the hassle of property management.

3. High-Yield Savings Accounts

Park your money in high-yield savings accounts or certificates of deposit (CDs) to earn guaranteed interest.

4. Rental Properties

Purchase rental properties and outsource property management to enjoy a steady cash flow.

5. Short-Term Rentals

Leverage platforms like Airbnb or Vrbo to rent out spare rooms or properties for extra income.

6. Peer-to-Peer Lending

Lend money through platforms like LendingClub and Prosper to earn interest on your investment.

7. Create an Online Course

Turn your expertise into an online course and sell it on platforms like Udemy or Teachable for recurring revenue.

8. Write an eBook

Publish an eBook on Amazon Kindle or similar platforms to earn royalties.

9. Affiliate Marketing

Promote products or services through a blog, YouTube channel, or social media and earn commissions for every sale.

10. Digital Products

Design and sell digital products such as templates, printables, or stock photos on Etsy or your website.

11. Print-on-Demand

Use platforms like Redbubble or Printful to sell custom-designed merchandise without inventory.

12. Mobile App Development

Create a useful app and monetize it through ads or subscription models.

13. Royalties from Creative Work

Earn royalties from music, photography, or artwork licensed for commercial use.

14. Dropshipping

Set up an eCommerce store and partner with suppliers to fulfill orders directly to customers.

15. Blogging

Start a niche blog, grow your audience, and monetize through ads, sponsorships, or affiliate links.

16. YouTube Channel

Create a YouTube channel around a specific niche and earn through ads, sponsorships, and memberships.

17. Automated Businesses

Use tools to automate online businesses, such as email marketing or subscription box services.

18. REITs (Real Estate Investment Trusts)

Invest in REITs to earn dividends from real estate holdings without owning property.

19. Invest in Index Funds

Index funds provide a simple way to earn passive income by mirroring the performance of stock market indexes.

20. License Software

Develop and license software or plugins that businesses and individuals can use.

21. Crypto Staking

Participate in crypto staking to earn rewards for holding and validating transactions on a blockchain network.

22. Automated Stock Trading

Leverage robo-advisors or algorithmic trading platforms to generate passive income from the stock market.

23. Create a Membership Site

Offer exclusive content or resources on a membership site for a recurring subscription fee.

24. Domain Flipping

Buy and sell domain names for a profit by identifying valuable online real estate.

25. Invest in AI Tools

Invest in AI-driven platforms or create AI-based products that solve real-world problems.

Getting Started

The key to success with passive income is to start with one or two ideas that align with your skills, interests, and resources. With dedication and consistency, you can build a diversified portfolio of passive income streams to secure your financial future.

[xettle-technologies]

What are the latest technological advancements shaping the future of fintech?

The financial technology (fintech) industry has witnessed an unprecedented wave of innovation over the past decade, reshaping how people and businesses manage money. As digital transformation accelerates, fintech new technologies are emerging, revolutionizing payments, lending, investments, and other financial services. These advancements, driven by fintech innovation, are not only enhancing user experience but also fostering greater financial inclusion and efficiency.

In this article, we will explore the most significant fintech trending technologies that are shaping the future of the industry. From blockchain to artificial intelligence, these innovations are redefining the boundaries of what fintech can achieve.

1. Blockchain and Cryptocurrencies

One of the most transformative advancements in fintech is the adoption of blockchain technology. Blockchain serves as the foundation for cryptocurrencies like Bitcoin, Ethereum, and stablecoins. Its decentralized, secure, and transparent nature has made it a game-changer in areas such as payments, remittances, and asset tokenization.

Key Impacts of Blockchain:

Decentralized Finance (DeFi): Blockchain is driving the rise of DeFi, which eliminates intermediaries like banks in financial transactions. DeFi platforms offer lending, borrowing, and trading services, accessible to anyone with an internet connection.

Cross-Border Payments: Blockchain simplifies and accelerates international transactions, reducing costs and increasing transparency.

Smart Contracts: These self-executing contracts are automating and securing financial agreements, streamlining operations across industries.

As blockchain adoption grows, businesses are exploring how to integrate this technology into their offerings to increase trust and efficiency.

2. Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are at the core of fintech innovation, enabling smarter and more efficient financial services. These technologies are being used to analyze vast amounts of data, predict trends, and automate processes.

Applications of AI and ML:

Fraud Detection and Prevention: AI models detect anomalies and fraudulent transactions in real-time, enhancing security for both businesses and customers.

Personalized Financial Services: AI-driven chatbots and virtual assistants are offering tailored advice, improving customer engagement.

Credit Scoring: AI-powered algorithms provide more accurate and inclusive credit assessments, helping underserved populations gain access to loans.

AI and ML are enabling fintech companies to deliver faster, more reliable services while minimizing operational risks.

3. Open Banking

Open banking is one of the most significant fintech trending technologies, promoting collaboration between banks, fintechs, and third-party providers. It allows customers to share their financial data securely with authorized parties through APIs (Application Programming Interfaces).

Benefits of Open Banking:

Enhanced Financial Management: Aggregated data helps users better manage their finances across multiple accounts.

Increased Competition: Open banking fosters innovation, as fintech startups can create solutions tailored to specific customer needs.

Seamless Payments: Open banking APIs enable instant and direct payments, reducing reliance on traditional methods.

Open banking is paving the way for a more connected and customer-centric financial ecosystem.

4. Biometric Authentication

Security is paramount in the financial industry, and fintech innovation has led to the rise of biometric authentication. By using physical characteristics such as fingerprints, facial recognition, or voice patterns, biometric technologies enhance security while providing a seamless user experience.

Advantages of Biometric Authentication:

Improved Security: Biometrics significantly reduce the risk of fraud by making it difficult for unauthorized users to access accounts.

Faster Transactions: Users can authenticate themselves quickly, leading to smoother digital payment experiences.

Convenience: With no need to remember passwords, biometrics offer a more user-friendly approach to security.

As mobile banking and digital wallets gain popularity, biometric authentication is becoming a standard feature in fintech services.

5. Embedded Finance

Embedded finance involves integrating financial services into non-financial platforms, such as e-commerce websites or ride-hailing apps. This fintech new technology allows businesses to offer services like loans, insurance, or payment options directly within their applications.

Examples of Embedded Finance:

Buy Now, Pay Later (BNPL): E-commerce platforms enable customers to purchase products on credit, enhancing sales and customer satisfaction.

In-App Payments: Users can make seamless transactions without leaving the platform, improving convenience.

Insurance Integration: Platforms offer tailored insurance products at the point of sale.

Embedded finance is creating new revenue streams for businesses while simplifying the customer journey.

6. RegTech (Regulatory Technology)

As financial regulations evolve, fintech innovation is helping businesses stay compliant through RegTech solutions. These technologies automate compliance processes, reducing costs and minimizing errors.

Key Features of RegTech:

Automated Reporting: Streamlines regulatory reporting requirements, saving time and resources.

Risk Management: Identifies and mitigates potential risks through predictive analytics.

KYC and AML Compliance: Simplifies Know Your Customer (KYC) and Anti-Money Laundering (AML) processes.

RegTech ensures that fintech companies remain agile while adhering to complex regulatory frameworks.

7. Cloud Computing

Cloud computing has revolutionized the way fintech companies store and process data. By leveraging the cloud, businesses can scale rapidly and deliver services more efficiently.

Benefits of Cloud Computing:

Scalability: Enables businesses to handle large transaction volumes without investing in physical infrastructure.

Cost-Effectiveness: Reduces operational costs by eliminating the need for on-premise servers.

Data Security: Advanced cloud platforms offer robust security measures to protect sensitive financial data.

Cloud computing supports the rapid growth of fintech companies, ensuring reliability and flexibility.

The Role of Xettle Technologies in Fintech Innovation

Companies like Xettle Technologies are at the forefront of fintech new technologies, driving advancements that make financial services more accessible and efficient. With a focus on delivering cutting-edge solutions, Xettle Technologies helps businesses integrate the latest fintech trending technologies into their operations. From AI-powered analytics to secure cloud-based platforms, Xettle Technologies is empowering organizations to stay competitive in an ever-evolving industry.

Conclusion

The future of fintech is being shaped by transformative technologies that are redefining how financial services are delivered and consumed. From blockchain and AI to open banking and biometric authentication, these fintech new technologies are driving efficiency, security, and inclusivity. As companies like Xettle Technologies continue to innovate, the industry will unlock even greater opportunities for businesses and consumers alike. By embracing these fintech trending advancements, organizations can stay ahead of the curve and thrive in a dynamic financial landscape.

[vbeyound]

Maximizing Business Insights with Power BI: A Comprehensive Guide for Small Businesses

Maximizing Business Insights Small businesses often face the challenge of making data-driven decisions without the resources of larger enterprises. Power BI, Microsoft's powerful analytics tool, can transform how small businesses use data, turning raw numbers into actionable insights. Here's a comprehensive guide to maximizing business insights with Power BI.

Introduction to Power BI

Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities. With an interface simple enough for end users to create their own reports and dashboards, it connects to a wide range of data sources.

Benefits for Small Businesses

1. User-Friendly Interface: Power BI's drag-and-drop functionality makes it accessible for users without technical expertise.

2. Cost-Effective: Power BI offers a free version with substantial features and a scalable pricing model for additional needs.

3. Real-Time Data: Businesses can monitor their operations with real-time data, enabling quicker and more informed decision-making.

Setting Up Power BI

1. Data Sources: Power BI can connect to various data sources such as Excel, SQL databases, and cloud services like Azure.

2. Data Modeling: Use Power BI to clean and transform data, creating a cohesive data model that forms the foundation of your reports.

3. Visualizations: Choose from a wide array of visualizations to represent your data. Customize these visuals to highlight the most critical insights.

Customizing Dashboards

1. Tailor to Needs: Customize dashboards to reflect the unique needs of your business, focusing on key performance indicators (KPIs) relevant to your goals.

2. Interactive Reports:Create interactive reports that allow users to explore data more deeply, providing a clearer understanding of underlying trends.

Real-World Examples

Several small businesses have successfully implemented Power BI to gain a competitive edge:

1. Retail: A small retail store used Power BI to track sales trends, optimize inventory, and identify peak shopping times.

2. Finance:A small financial advisory firm employed Power BI to analyze client portfolios, improving investment strategies and client satisfaction.

Integration with Existing Tools

Power BI seamlessly integrates with other Microsoft products such as Excel and Azure, as well as third-party applications, ensuring a smooth workflow and enhanced productivity.

Best Practices

1. Data Accuracy: Ensure data accuracy by regularly updating your data sources.

2. Training: Invest in training your team to use Power BI effectively.

3. Security: Implement robust security measures to protect sensitive data.

Future Trends

Power BI continues to evolve, with future updates likely to include more advanced AI features and enhanced data processing capabilities, keeping businesses at the forefront of technology.

Conclusion

Power BI offers small businesses a powerful tool to transform their data into meaningful insights. By adopting Power BI, businesses can improve decision-making, enhance operational efficiency, and gain a competitive advantage. Partnering with Vbeyond Digital ensures a smooth and successful implementation, maximizing the benefits of Power BI for your business. with Power BI: A Comprehensive Guide for Small Businesses

[technologyequality]

AI and Business Strategy: The Secret to Sustainable, Scalable Success

AI and Business Strategy The Secret to Sustainable, Scalable Success Scaling is one thing. Sustaining it? That’s the real challenge. If you’ve been following this series, you know we’ve talked about AI-driven leadership, customer experience, and innovation—all crucial pieces of the puzzle. But today, we’re tackling something even more foundational: how AI transforms business strategy…

[surfboardfinance1]

Introducing Surfboard Finance: Revolutionizing Blockchain Asset Management

Surfboard Finance: Revolutionizing the Future of Blockchain Asset Management

In the rapidly evolving landscape of blockchain technology, managing digital assets across multiple networks can be a complex and fragmented experience. Surfboard Finance has emerged as a game-changer, offering users a seamless and comprehensive platform to manage a diverse portfolio, from cryptocurrencies to NFTs, all within a unified interface.

Bridging the Gap in Blockchain Asset Management Blockchain enthusiasts and investors often face a significant hurdle: managing their assets spread across various networks. Each blockchain ecosystem, whether it’s Ethereum, Binance Smart Chain, or others, operates independently with its own protocols and systems. This decentralization, while innovative, creates silos that complicate asset management. Users are left juggling multiple platforms, wallets, and interfaces to track and analyze their assets, leading to inefficiencies and potential errors.

Surfboard Finance addresses these challenges head-on by aggregating data from various blockchains into one user-friendly platform. Its unique ability to provide a holistic view of assets in real-time empowers users to make well-informed decisions quickly. No more switching between wallets or interfaces – with Surfboard Finance, everything you need is at your fingertips.

The Power of AI in Blockchain

One of the standout features of Surfboard Finance is its use of AI-powered insights. In the volatile world of blockchain, timing and data-driven decisions are crucial. Surfboard's AI analyzes user portfolios and market trends, offering predictive analytics that help investors strategize effectively. This feature enhances user experience by delivering actionable insights, recommending when to buy, sell, or hold assets.

As blockchain ecosystems grow more complex, AI integration will be key in managing risk, identifying opportunities, and optimizing asset allocation. Surfboard Finance’s forward-thinking approach in this area solidifies its position as a leader in the blockchain space.

Empowering Users Through Decentralization

The ethos of decentralization remains a core principle for Surfboard Finance. Through its DAO (Decentralized Autonomous Organization) governance model, users have a direct say in the platform’s evolution. From proposing new features to voting on key decisions, Surfboard's community-driven approach empowers users to shape the future of the platform. This level of transparency and involvement fosters trust and enhances user engagement, setting Surfboard Finance apart from other platforms in the market.

Surfboard Finance’s Vision for the Future

Surfboard Finance’s roadmap is packed with exciting developments. As part of its vision for the future, the platform aims to introduce advanced analytics for deeper market insights, enhanced AI capabilities, and a mobile app for on-the-go portfolio management. Furthermore, multi-language support will expand its global reach, making blockchain asset management more accessible to users worldwide.

Strategic partnerships with key players in the blockchain and financial sectors are also on the horizon. These collaborations will enhance the platform’s capabilities and open up new opportunities for investors.

Conclusion

As blockchain technology continues to evolve, Surfboard Finance is leading the charge in simplifying and transforming asset management. By providing a unified platform with AI-driven insights, decentralized governance, and a clear vision for the future, Surfboard Finance is poised to revolutionize how users manage their digital assets.

Whether you're a seasoned blockchain investor or new to the space, Surfboard Finance offers a comprehensive solution for efficient and informed asset management.

Call to Action: Ready to take control of your blockchain assets with Surfboard Finance? Visit our website to learn more, stay updated on new features, and be part of the community shaping the future of blockchain asset management.

Website: www.surfboard.finance Twitter: @SurfboardFinance Telegram: Surfboard Finance Group

[marketmagnatize]

Top 10 Business Ideas That Will Make You Rich

In today's fast-paced and ever-evolving world, entrepreneurship offers countless opportunities to build wealth. Whether you're a seasoned entrepreneur or a budding innovator, exploring the right business idea can lead to significant financial success. Here are ten business ideas that have the potential to make you rich.

1. E-commerce Store

E-commerce continues to thrive, with online shopping becoming the norm for consumers. Launching an e-commerce store that caters to a niche market can be incredibly profitable. By offering unique, high-quality products, and leveraging digital marketing strategies, you can reach a global audience. Subscription boxes, eco-friendly products, or personalized items are examples of niches with high demand.

2. Digital Marketing Agency

As businesses shift towards online operations, the demand for digital marketing services has skyrocketed. Starting a digital marketing agency that specializes in SEO, social media management, content marketing, or pay-per-click advertising can be highly lucrative. Success in this field requires staying updated with the latest trends and delivering measurable results to clients.

3. App Development

The mobile app industry is booming, with millions of apps available on various platforms. If you have a background in coding or can collaborate with skilled developers, creating innovative apps can lead to substantial profits. Whether it's a gaming app, a productivity tool, or a social networking platform, a successful app can generate revenue through in-app purchases, ads, or subscriptions.

4. Real Estate Investment

Real estate has long been a proven way to build wealth. Investing in rental properties, flipping houses, or even starting a real estate development company can yield high returns. The key is to research markets thoroughly, understand property values, and manage your investments wisely. In addition to traditional real estate, consider emerging trends like vacation rentals and co-living spaces.

5. Health and Wellness Products

The health and wellness industry is experiencing rapid growth, driven by an increased focus on healthy living. Starting a business that offers health supplements, organic foods, fitness equipment, or wellness coaching can be very profitable. Consumers are willing to invest in products and services that promote a healthier lifestyle, making this sector a promising area for entrepreneurs.

6. Online Education and E-learning

The rise of remote work and online learning has created a massive demand for e-learning platforms and online courses. If you have expertise in a particular field, you can create and sell online courses, or develop a platform that connects educators with learners. This business model offers scalability and the potential for passive income, as courses can be sold repeatedly without additional production costs.

7. Renewable Energy Solutions

With the global push towards sustainability, businesses in the renewable energy sector are thriving. Starting a company that offers solar panel installation, energy-efficient appliances, or green building materials can be highly profitable. Governments and consumers are increasingly seeking eco-friendly solutions, making this an ideal time to enter the market.

8. Freelance Services Platform

The gig economy is expanding rapidly, with more people seeking freelance opportunities. Creating a platform that connects freelancers with clients in fields like graphic design, writing, programming, or virtual assistance can be a successful business venture. By charging a commission on transactions, you can build a profitable business while providing a valuable service.

9. Artificial Intelligence and Automation

AI and automation are transforming industries across the board. Starting a business that offers AI-driven solutions, such as chatbots, predictive analytics, or robotic process automation (RPA), can lead to significant wealth. Companies are eager to adopt AI technologies to streamline operations, reduce costs, and improve customer experiences, making this a high-demand area.

10. Subscription Box Service

Subscription box services have gained immense popularity, offering consumers curated products delivered to their doorsteps regularly. From beauty products to gourmet foods, subscription boxes cater to a wide range of interests. Starting a subscription box business allows for recurring revenue and customer loyalty, provided you offer unique and valuable products.

For more such content visit on Tanishq website .

Conclusion

These ten business ideas represent some of the most promising opportunities for building wealth in today's economy. While each requires a different level of expertise, investment, and commitment, the potential rewards are substantial. Success in any of these ventures will depend on thorough market research, innovative thinking, and relentless execution. By choosing the right idea and dedicating yourself to its growth, you can achieve significant financial success and long-term wealth. Click here to open other post.

[subornobiswas]

AI in Finance: Automating Processes and Enhancing Decision-Making in the Financial Sector

Introduction: 

In today’s rapidly evolving world, technology continues to reshape various industries, and the financial sector is no exception. Artificial Intelligence (AI) has emerged as a game-changer, revolutionizing the way financial institutions operate and make critical decisions. By automating processes and providing valuable insights, AI is transforming the financial landscape, enabling greater efficiency, accuracy, and customer satisfaction.

AI Applications in Finance:

Automation of Routine Tasks: Financial institutions deal with massive amounts of data on a daily basis. AI-driven automation tools can streamline tasks such as data entry, processing, and reconciliation, reducing manual errors and increasing operational efficiency. Additionally, AI-powered bots can handle customer inquiries and support, freeing up human agents to focus on more complex issues.

Fraud Detection and Security: Cybersecurity is a top priority for financial institutions. AI algorithms can analyze vast datasets in real-time to detect unusual patterns and anomalies, flagging potential fraudulent activities before they escalate. This proactive approach enhances security measures and safeguards customer assets.

Personalized Customer Experience: AI-powered chatbots and virtual assistants offer personalized interactions with customers, providing quick responses to queries and offering tailored financial solutions based on individual preferences and behavior. This level of personalization enhances customer satisfaction and loyalty.

AI for Risk Assessment and Management:

Credit Scoring and Underwriting: AI-powered credit risk models can assess an individual’s creditworthiness more accurately, incorporating a wide range of factors to make data-driven decisions. This expedites loan underwriting processes, allowing financial institutions to serve customers faster while managing risk effectively.

Market Analysis and Predictions: AI algorithms can analyze market trends, historical data, and other influencing factors to predict market fluctuations with higher accuracy. By leveraging AI-driven insights, investment professionals can make more informed decisions, optimizing investment strategies and portfolios.

Improving Financial Decision-Making:

Algorithmic Trading: AI-driven algorithmic trading systems can execute trades based on predefined criteria, eliminating emotional biases and executing trades with greater precision and speed. This technology has the potential to outperform traditional trading methods, benefiting both investors and institutions.

Portfolio Management: AI can optimize portfolio performance by considering various risk factors, asset correlations, and individual investment goals. Through data-driven portfolio management, investors can achieve a balanced risk-return profile, aligning with their specific financial objectives.

Ethical and Regulatory Considerations:

As AI becomes more prevalent in the financial sector, it’s crucial to address ethical concerns and ensure compliance with regulatory requirements. Financial institutions must be vigilant in identifying and mitigating biases present in AI algorithms to maintain fairness and transparency in decision-making processes. Additionally, adhering to data privacy laws is essential to protect customer information and build trust with clients.

Real-world Examples of AI Adoption in Finance:

JPMorgan Chase: The multinational bank utilizes AI to streamline customer interactions through their virtual assistant, providing personalized financial advice and support.

BlackRock: The investment management firm employs AI-powered algorithms to enhance its portfolio management and make data-driven investment decisions.

Challenges and Future Outlook:

While AI offers tremendous benefits to the financial sector, challenges remain, including data privacy concerns, algorithmic biases, and potential job displacement. Addressing these challenges is vital to maximizing the potential of AI in finance. Looking ahead, the future of AI in finance is promising, with advancements in Natural Language Processing (NLP), predictive analytics, and machine learning expected to reshape the industry further.

Conclusion:

AI is revolutionizing the financial sector by automating processes, improving decision-making, and enhancing customer experiences. Financial institutions embracing AI can gain a competitive edge, providing better services, reducing operational costs, and managing risks more effectively. However, ethical considerations and regulatory compliance must remain at the forefront of AI adoption to ensure a sustainable and equitable financial landscape for the future. With responsible implementation, AI is set to continue transforming finance, empowering institutions to thrive in the digital age.

[fenway03]

While we're at it…

Duolingo has never been a platform that paid translators fairly. In fact, right from the start, they have shown zero respect for the translation industry and for the skills required to be a good translator. Their initial business model involved a crowdsourced translation service where they'd let language learners translate texts and then sell those translations to their clients (e.g., see this 2015 TechCrunch article).

Furthermore, the growth of Duolingo as a language-learning platform was only possible due to lots of naive language nerds who worked for free and helped create all those exercises through the company's Volunteer Contribution Program. That was a classic techbro asshole move on Duolingo's part: appeal to the good intentions of people with a passion for the subject/product, keep them motivated with lots of shallow talk about how their work will contribute to a brighter future where people have free access to knowledge and education, blablabla – and while all those well-meaning dummies worked for free, the people behind Duolingo were cashing in the big checks, getting investors involved, and planning the further commercialization of their product.

And make no mistake: The grand gestures they're now making, such as honoring those volunteers with fancy awards and VIP access to special events, and even the promised belated financial compensation to be distributed among all volunteers are just tiny drops in the bucket that won't hurt the company at all. And they won't undo all the exploitation that has been going on there for years. The partial switch to AI is just another non-suprising move following a long tradition of similarly profit-driven moves.

But they're not the only jerks out there doing this. Two more examples: Facebook (of course, eyeroll) and TED Talks. The latter's subtitles are also created by volunteers. And not only that: Many of those volunteers are actual translators (often with proper training and all) at the beginning of their career who unfortunately think that's a great way to build their portfolio and get some of that awesome exposure. But it is not. It's just a shitty way of helping all those rich tech companies get richer and further devaluing the translation profession. (If you happen to be a newbie translator reading this and looking to build your portfolio, do pro bono translations for people and organizations who really need your help!)

Obviously, this scheme is found in other fields as well, with people in creative industries being particularly vulnerable and gullible. Whenever someone promises your work will serve a greater good or provide you with career-boosting exposure, take a deep breath and then a close look at what kind of business or product you're about to support with your free labor. 9 times out of 10 you should be asking for real compensation.

And if you're a user of such products, 9 times out of 10 you should stop using them (and you should definitely stop paying for them).

But of course, life is complicated. Even if you should stop doing something, it's not always possible. Or at least not right away. (For example, I still use Facebook because of some non-public groups only found there.) But there's something you certainly can and must do: Pay more attention. Find out where your money is going, or, in the case of free services: Who will get your data, and how can they profit from them? Who's getting paid, and who's not getting paid? What's the history of the company or product? And do you really need it?

At least in some cases you will realize that you don't need the service or product at all.

AI in the form of large language models (LLMs) and generative algorithms used for tools like ChatGPT, Midjourney etc. increases this dilemma because it makes it even more difficult to find and use products whose creation didn't involve a lot of people getting exploited. And this will be the case for at least a while until the techbro hype has died down and people will learn to appreciate the value (well-paid) humans bring to a product or service. Lots of companies are currently trying to cut costs and corners by integrating these new AI models into their workflows. For some, it has already backfired (just ask the law firm Levidow, Levidow & Oberman about their little ChatGPT whoopsie); others will still learn this lesson the hard way. And of course, things will get reaaally fun when there's so much AI-generated content that the models will start ingesting too much of it, thereby poisoning themselves. Grab your popcorn, folks!

On a more serious note though: AI itself isn't the problem. It's an umbrella term that comprises a multitude of different methods and strategies, some of which are extremely useful (for example, in early-stage cancer detection). And there are many people, companies, and organizations that try to integrate AI into their workflows in a careful, cautious manner. You're already using lots of things in your daily life that wouldn't be possible without AI. Even your use of Tumblr is likely enabled by AI because fast internet requires smart routing of all that data traffic.

So from now on, when you look behind the scenes of how a tool or service gets provided, the mere fact that some AI is involved shouldn't be a disqualifier. You need to dig deeper. What kind of AI? What purpose is it used for? Does it actually help humans work smarter or does it force them to work harder?

There are problematic people on both ends of the spectrum: techbro bootlickers praising our AI overlords on one end, and uninformed luddites waving "boycott AI" signs on the other end. But a solution and a way out of this mess can only be found somewhere in the middle.

(Much more could be said about the use of AI/MT in the translation industry, how it's currently evolving, and how often people (unknowingly) support the exploitation of translators... Maybe in a future post...)

Heads up to not use Duolingo or to cease using it

In December 2023 they laid off a huge percentage of their translation teams, replacing them with ai and having the remaining members review the ai translations to make sure the translations are “acceptable” (Note how they use the world acceptable and not accurate)

Link to the tweet that informed me of this:

https://x.com/rahll/status/1744234385891594380?s=46&t=a5vK0RLlkgqk-CTqc0Gvvw

If you’re a current user prepare for an uptick in translations errors as I’ve already seen people in the comments say they’ve noticed