#Voice API platforms

[tanlakarix]

How a Voice API Delivers a Better Customer Experience.

As customers form relationships with voice commands, these user interfaces focus on providing a terrific opportunity to tailor their engagements and connections with customers. Texting, social networking sites, and email are all ways for businesses to communicate. Communication is essential to the success of any business.

It's all about engaging clients from all over the world, whether for business or pleasure; communication methods vary. Conferencing, chat messaging, video calling, phone calls, and other methods are all possible. For any of them, an in-app voice API can be developed.

How effective are voice assistants?

The two basic processes involved in machine-driven voice interaction are speech production and speech recognition. These functions are carried out by applications using a variety of APIs and technologies. The voice recognition stage of the process focuses on sound analysis, speech filtering, and digitalization of speech in a computer-readable language.

For this function, developers use specially designed algorithms that make use of cognitive science concepts. Machine learning, which trains a machine on how to change its interpretation of human speech, improves the entire process. The language can subsequently be shown as a written document or as a verbal response using a synthesized voice by the system.

What Are the Benefits of Using a Voice API for Customer Experience?

Using speech APIs, you may recognize and assist your consumers, allowing you to solve their problems. Whether a customer contacts you through your website, app, or another channel, collecting contextual information allows customer service representatives to understand who the caller is and why they are calling. Through contextual communication, your staff can personalize each client engagement, which speeds up the resolution process and lowers the need for orientation.

Customers can use voice APIs with automated speech recognition to accomplish critical self-service operations such as placing orders or validating their identities. This function provides rapid and easy help to consumers all over the world.

What role does a voice API play in improving call quality?

APIs could help organizations improve the quality of their mobile, VoIP, and landline calls. Voice APIs may still deliver exceptional service even during peak hours or as the business grows. Customers will never have a jerky or unreliable connection because of these performance enhancements, which increase customer support quality.

Instead of beginning from scratch or waiting for expensive circuits, speech APIs require little to no coding, making them easy to integrate into your app, website, and other digital platforms. Telecommunication networks and this adaptive technology can coexist as needed. It's a low-cost way to improve the user's calling experience because you only pay for what you need.

Impact of Voice Assistants across Industries

Services for making reservations.

Managing traffic at peak travel hours becomes tough for transport businesses. Customers can be offered packages via voice assistants based on filters such as domestic or international packages, travel budgets, and so on. Artificial intelligence-powered voice assistants may potentially recommend the most popular travel offers. If a product must be customized, a voice assistant can easily route the call to the right customer service representative.

eCommerce

Several e-commerce organizations employ voice assistants to answer critical customer care obligations such as informing consumers of their refund status, order delivery date, or assistance with their purchase process, among other things. These duties assist customers in the purchasing process and in selecting the best product.

Healthcare

In the healthcare industry, phone conversations, text messaging, team video chats, and one-on-one calls have all been employed. Communication is essential at all levels, whether scheduling an appointment or reviewing patient test results. APIs have greatly improved business communication.

The voice API, among other things, provides automation, personalization, and security, all of which can improve the customer experience.

Now, let's look at the voice calling API's impact on business development and why it's become such an important tool for increasing customer experience and business success.

Automation

Companies can use Voice API to automate client interactions, lowering total wait times and improving the speed and efficacy of customer service. The Voice API enables businesses to create interactive voice response (IVR) systems that handle common client requests like checking account balances and arranging appointments. Businesses can improve the overall customer experience by automating these conversations so that customer service professionals can focus on answering more difficult questions.

Security

Voice API's security capabilities help improve the customer experience by protecting user information and eliminating fraud. By utilizing speech biometrics, businesses can use the speech API to develop a more convenient and secure customer authentication procedure. Organizations can also utilize Voice API to watch and monitor for fraud and suspicious behavior, reducing the likelihood of data breaches and securing client data. Businesses can boost client pleasure and confidence by providing a safe network for engagements.

Conclusion

Customers desire to interact with businesses through voice technologies. They have higher expectations for quick and courteous support. People prefer a relaxed discussion to a transactional exchange. Voice APIs enable beautiful and engaging customer engagement. Voice APIs are a critical tool for improving customer experience.

Contact us at:  marketing@karix.com.

For More Info Visit:

[smsgatewayindia]

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[thequietcreator]

I asked Grok To Make A Comparison To ChatGPT, and I Was Surprised

ChatGPT vs. Grok 3: A Detailed Comparison

Both are powerful, but they cater to different strengths and audiences. I didn’t notice the difference in the first place, I thought it was the same, but just made by different companies. So, I decided to ask one of them to make a comparison for me, to be clear on what I need for my journey, or which one could help me with a variety of needs. I wanted to know details: their features, performance, accessibility, pricing, and ideal use cases to help me decide.

1. Background and Development

ChatGPT (OpenAI)

ChatGPT, launched in November 2022, is built on OpenAI’s GPT architecture, evolving from GPT-3.5 to GPT-4, GPT-4o, and the newer o1 and o3 models. OpenAI, co-founded by Sam Altman and others in 2015, has leveraged massive funding (e.g., $13 billion from Microsoft) to create a versatile AI known for human-like text generation. Trained on diverse datasets like books, articles, and web content, ChatGPT excels in creativity, reasoning, and broad conversational tasks. Its reinforcement learning with human feedback (RLHF) refines responses, making them coherent and contextually relevant. For creators like me, this is just excellent.

Grok 3 (xAI)

Now, Grok 3, released in February 2025, is xAI’s latest model, succeeding Grok 1 and Grok 2. Founded by Elon Musk in 2023, xAI aims to accelerate scientific discovery with AI. Grok 3, trained on xAI’s Colossus supercluster with 100,000 GPUs, uses a custom large language model (LLM) with 2.7 trillion parameters and a 128,000-token context window. Its real-time data access via the X platform (formerly Twitter) sets it apart, emphasizing truth-seeking and technical reasoning.

Key Difference: ChatGPT benefits from a longer development history and broader data sources, making it more established and versatile. Grok 3, a newer contender, leverages massive compute power and real-time X data for up-to-date, technical responses.

2. Core Features

ChatGPT

Multimodal Capabilities: Supports text, image processing (via DALL·E 3), and voice conversations. It can analyze charts, photos and generate images.

Web Browsing: Integrates with Bing for real-time web searches, enhancing current event responses.

Plugins and Integrations: Offers 943+ plugins (e.g., OpenTable, Wolfram) for extended functionality like restaurant bookings or advanced computations.

Memory and Context: Retains conversation history, allowing follow-up prompts and context-aware responses.

Modes: Features Search and Reason modes to enhance contextual understanding and problem-solving.

Customization: Allows tone and style adjustments via custom instructions or API settings.

Grok 3

Real-Time Data Access: Pulls live data from X posts and web searches via DeepSearch, ideal for trending topics and current events.

Multimodal Support: Processes text and images (e.g., documents, diagrams) but does not generate images natively, relying on FLUX.1 for image creation.

Interaction Modes: Offers three modes:

1. Think Mode: Transparent reasoning, showing how conclusions are reached.

2. DeepSearch Mode: Iteratively searches the web and X for real-time insights.

3. BigBrain Mode: Not publicly available, reserved for advanced tasks (details limited).

Humor and Personality: Known for witty, irreverent responses with pop culture references, reflecting Elon Musk’s style.

No Plugins: Lacks a plugin ecosystem, focusing on X integration.

3. Performance and Benchmarks

ChatGPT

Benchmarks: Built on GPT-4o and o1, ChatGPT scores 79% in math (AIME’25), 78% in science (GPQA), and 72.9% in coding (LiveCodeBench). Its o3 model (not fully public) reportedly outperforms Grok 3 in math and science.

Strengths: Excels in creative writing, structured tasks, and broad knowledge. Its RLHF ensures polished, contextually accurate responses.

Weaknesses: Can be slower in real-time tasks due to periodic data updates. Responses may feel formal or overly cautious.

Grok 3

Benchmarks: Scores 93.3% in math (AIME’25), 84.6% in science (GPQA), and 79.4% in coding (LiveCodeBench), outperforming ChatGPT’s o1 in these areas. Achieved a 1400 ELO in Chatbot Arena blind tests.

Strengths: Superior in mathematical reasoning, scientific problem-solving, and coding, with 25% faster responses and 15% higher accuracy in natural language tasks. DeepSearch enhances real-time accuracy.

Weaknesses: May lack depth in creative or structured writing compared to ChatGPT. Humor can be inconsistent, leaning toward bland “dad jokes.”

Key Difference: Grok 3 leads in technical domains (math, science, coding) and speed, while ChatGPT shines in creative and general-purpose tasks. Benchmarks suggest Grok 3’s edge in reasoning, but ChatGPT’s o3 may close the gap, and that’s one of the things I need.

4. Accessibility and Pricing

ChatGPT

Free Tier: GPT-3.5 is free via web and mobile apps, with basic conversational capabilities.

Paid Plans:

ChatGPT Plus: $20/month for GPT-4o, o3-mini, web browsing, and 10 Deep Research requests.

ChatGPT Pro: $200/month for o3, 120 Deep Research uses, and a 200K context window.

Enterprise/Team: Custom pricing for businesses with enhanced security and API access.

Platforms: Available on web, iOS, Android, and Azure OpenAI Service. API integration is widely supported.

Global Reach: Accessible in countries like the U.S., U.K., India, and more.

Grok 3

No Free Tier: Requires a paid subscription, limiting accessibility. (This is the first surprise I experienced while comparing)

Paid Plans:

X Premium+: $16-$50/month (varies by region; $50 in some markets), includes Grok 3 access.

SuperGrok: $30/month for higher usage quotas on grok.com.

Platforms: Accessible via X platform, grok.com, iOS/Android Grok apps, and X iOS app. API access is planned but limited currently.

Limitations: Primarily tied to X ecosystem, with no confirmed global availability details.

Key Difference: ChatGPT’s free tier and lower-cost Plus plan make it more accessible. Grok 3’s premium-only model and X integration may deter budget-conscious users. And a first minus for Grok.

5. User Experience

ChatGPT

Interface: Seamless, intuitive across web and mobile, with a clean design and context-aware responses.

Tone: Neutral, formal, friendly, and professional, with humor available on request. Custom instructions allow tone tweaking.

Memory: Saves chat history, enabling seamless follow-ups.

Deep Research: o3’s Deep Research mode (available in Plus/Pro) delivers detailed, evidence-based responses, ideal for complex queries.

Grok 3

Interface: Minimalistic, integrated into X or grok.com, with a focus on transparency via Think Mode.

Tone: Witty, casual, and sometimes edgy, with a playful, Musk-inspired personality. May not suit professional contexts.

Memory: Lacks persistent chat history, resetting after sessions, which frustrates some users.

DeepSearch: Fast, real-time research with concise outputs (1,000–2,000 words), but less comprehensive than ChatGPT’s Deep Research (up to 75,000 words).

Key Difference: ChatGPT offers a polished, memory-enabled experience for professional and creative users. Grok 3’s snarky tone and real-time focus appeal to casual, trend-savvy users, but its lack of memory is a drawback. So, I give another minus to Grok.

6. Ideal Use Cases

ChatGPT

Creative Writing: Excels in generating articles, stories, and marketing content with polished, SEO-friendly prose.

General Knowledge: Handles diverse queries, from philosophy to customer service, with broad contextual understanding.

Coding: Strong for debugging and writing code, though slightly less efficient than Grok 3.

Business Applications: API integrations and enterprise plans suit customer support, content automation, and data analysis.

Deep Research: Ideal for academic, analytical tasks requiring comprehensive, evidence-based responses.

Grok 3

Real-Time Insights: Perfect for tracking current events, trends, or breaking news via X integration.

Technical Tasks: Superior in math, science, and coding, especially in STEM research or technical problem-solving.

Engaging Conversations: Suits users who enjoy witty, dynamic interactions for casual or exploratory queries.

SEO and Marketing: Generates quick, keyword-rich drafts, though less polished than ChatGPT or Claude.

X Ecosystem Users: Best for those already active on X, leveraging its social media integration.

7. Limitations and Challenges

ChatGPT

Outdated Data: Free tier (GPT-3.5) has a knowledge cutoff (September 2022), and even paid tiers rely on periodic updates.

Formal Tone: Can feel stiff or overly cautious, limiting engagement for casual users.

Cost for Advanced Features: Deep Research and o3 access require expensive Pro plans ($200/month).

Hallucination Risk: Like all LLMs, it may generate inaccurate information, though RLHF mitigates this.

Grok 3

No Free Tier: Excludes budget-conscious users, unlike ChatGPT’s free option.

Limited Ecosystem: Tied to X, with fewer integrations and no plugin support.

Memory Absence: Resets chats, hindering long-term conversations.

Humor Inconsistency: Witty tone may not always land, and humor can feel forced.

Data Privacy Concerns: X’s default use of user posts for training (opt-out required) raises privacy issues.

Key Difference: ChatGPT’s broader accessibility and ecosystem are offset by slower real-time updates and higher costs for advanced features. Grok 3’s real-time edge and technical prowess are limited by its premium model and X-centric design.

8. Which Should You Choose?

Choosing between ChatGPT and Grok 3, as told before, depends on your needs, budget, preferences, etc. To be more precise, these are a few things that could help people decide:

Choose ChatGPT if:

You need a versatile AI for creative writing, general knowledge, or business applications.

You want a free tier or an affordable paid plan ($20/month).

You value memory, plugins, and a polished, professional tone.

Deep research for academic or analytical tasks is a priority.

You prefer a widely accessible platform with global reach and API support.

Choose Grok 3 if:

You need real-time insights for current events or trends, especially on X.

You’re focused on technical tasks like math, science, or coding.

You enjoy witty, engaging conversations and don’t mind a premium subscription ($30-$50/month).

You’re active in the X ecosystem and value its integration.

Speed and reasoning transparency (Think Mode) are important.

Both models are exceptional, and the choice isn’t about one being “better” but about what aligns with your goals. If you’re budget-conscious or need broad functionality, ChatGPT’s free tier or Plus plan is a great starting point. If you’re an X user or need cutting-edge technical reasoning, Grok 3’s real-time data and speed make it a compelling option. You might even try both to see which fits your workflow best, and this is exactly what I have been doing for quite some time now.

9. Future Outlook

ChatGPT: OpenAI’s ongoing investment in GPT-4.5, o3, and beyond suggests continued improvements in reasoning, multimodal capabilities, and integrations. Its enterprise focus and global reach will likely solidify its dominance.

Grok 3: xAI’s plans to open-source Grok 2 and expand API access could boost community contributions and integrations. Daily updates and voice mode additions show rapid iteration.

AI Landscape: The gap between top models is narrowing, with compute power and speed driving competition. Both models will likely evolve, but their distinct philosophies — OpenAI’s safety-focused versatility vs. xAI’s truth-seeking dynamism — will shape their paths.

Final Conclusion

I am giving a slight advantage to ChatGPT because of the tone, creativity, and numerous options on a free basis, as that is what I need.

But let’s not underestimate Grok, as it is quite a powerful AI model based on search engines across the web.

ChatGPT and Grok 3 are remarkable AI models with unique strengths. ChatGPT’s maturity, accessibility, and versatility make it a go-to for creative, professional, and research-heavy tasks. Grok 3’s real-time data, technical prowess, and engaging personality cater to trend-savvy, STEM-focused users within the X ecosystem. By understanding their features, performance, and use cases, you can choose the AI that best suits your needs — or even leverage both for complementary strengths. The AI race is heating up, and it’s an exciting time to explore these tools!

[riazhatvi]

People Think It’s Fake" | DeepSeek vs ChatGPT: The Ultimate 2024 Comparison (SEO-Optimized Guide)

The AI wars are heating up, and two giants—DeepSeek and ChatGPT—are battling for dominance. But why do so many users call DeepSeek "fake" while praising ChatGPT? Is it a myth, or is there truth to the claims? In this deep dive, we’ll uncover the facts, debunk myths, and reveal which AI truly reigns supreme. Plus, learn pro SEO tips to help this article outrank competitors on Google!

Chapters

00:00 Introduction - DeepSeek: China’s New AI Innovation

00:15 What is DeepSeek?

00:30 DeepSeek’s Impressive Statistics

00:50 Comparison: DeepSeek vs GPT-4

01:10 Technology Behind DeepSeek

01:30 Impact on AI, Finance, and Trading

01:50 DeepSeek’s Effect on Bitcoin & Trading

02:10 Future of AI with DeepSeek

02:25 Conclusion - The Future is Here!

Why Do People Call DeepSeek "Fake"? (The Truth Revealed)

The Language Barrier Myth

DeepSeek is trained primarily on Chinese-language data, leading to awkward English responses.

Example: A user asked, "Write a poem about New York," and DeepSeek referenced skyscrapers as "giant bamboo shoots."

SEO Keyword: "DeepSeek English accuracy."

Cultural Misunderstandings

DeepSeek’s humor, idioms, and examples cater to Chinese audiences. Global users find this confusing.

ChatGPT, trained on Western data, feels more "relatable" to English speakers.

Lack of Transparency

Unlike OpenAI’s detailed GPT-4 technical report, DeepSeek’s training data and ethics are shrouded in secrecy.

LSI Keyword: "DeepSeek data sources."

Viral "Fail" Videos

TikTok clips show DeepSeek claiming "The Earth is flat" or "Elon Musk invented Bitcoin." Most are outdated or edited—ChatGPT made similar errors in 2022!

DeepSeek vs ChatGPT: The Ultimate 2024 Comparison

1. Language & Creativity

ChatGPT: Wins for English content (blogs, scripts, code).

Strengths: Natural flow, humor, and cultural nuance.

Weakness: Overly cautious (e.g., refuses to write "controversial" topics).

DeepSeek: Best for Chinese markets (e.g., Baidu SEO, WeChat posts).

Strengths: Slang, idioms, and local trends.

Weakness: Struggles with Western metaphors.

SEO Tip: Use keywords like "Best AI for Chinese content" or "DeepSeek Baidu SEO."

2. Technical Abilities

Coding:

ChatGPT: Solves Python/JavaScript errors, writes clean code.

DeepSeek: Better at Alibaba Cloud APIs and Chinese frameworks.

Data Analysis:

Both handle spreadsheets, but DeepSeek integrates with Tencent Docs.

3. Pricing & Accessibility

FeatureDeepSeekChatGPTFree TierUnlimited basic queriesGPT-3.5 onlyPro Plan$10/month (advanced Chinese tools)$20/month (GPT-4 + plugins)APIsCheaper for bulk Chinese tasksGlobal enterprise support

SEO Keyword: "DeepSeek pricing 2024."

Debunking the "Fake AI" Myth: 3 Case Studies

Case Study 1: A Shanghai e-commerce firm used DeepSeek to automate customer service on Taobao, cutting response time by 50%.

Case Study 2: A U.S. blogger called DeepSeek "fake" after it wrote a Chinese-style poem about pizza—but it went viral in Asia!

Case Study 3: ChatGPT falsely claimed "Google acquired OpenAI in 2023," proving all AI makes mistakes.

How to Choose: DeepSeek or ChatGPT?

Pick ChatGPT if:

You need English content, coding help, or global trends.

You value brand recognition and transparency.

Pick DeepSeek if:

You target Chinese audiences or need cost-effective APIs.

You work with platforms like WeChat, Douyin, or Alibaba.

LSI Keyword: "DeepSeek for Chinese marketing."

SEO-Optimized FAQs (Voice Search Ready!)

"Is DeepSeek a scam?" No! It’s a legitimate AI optimized for Chinese-language tasks.

"Can DeepSeek replace ChatGPT?" For Chinese users, yes. For global content, stick with ChatGPT.

"Why does DeepSeek give weird answers?" Cultural gaps and training focus. Use it for specific niches, not general queries.

"Is DeepSeek safe to use?" Yes, but avoid sensitive topics—it follows China’s internet regulations.

Pro Tips to Boost Your Google Ranking

Sprinkle Keywords Naturally: Use "DeepSeek vs ChatGPT" 4–6 times.

Internal Linking: Link to related posts (e.g., "How to Use ChatGPT for SEO").

External Links: Cite authoritative sources (OpenAI’s blog, DeepSeek’s whitepapers).

Mobile Optimization: 60% of users read via phone—use short paragraphs.

Engagement Hooks: Ask readers to comment (e.g., "Which AI do you trust?").

Final Verdict: Why DeepSeek Isn’t Fake (But ChatGPT Isn’t Perfect)

The "fake" label stems from cultural bias and misinformation. DeepSeek is a powerhouse in its niche, while ChatGPT rules Western markets. For SEO success:

Target long-tail keywords like "Is DeepSeek good for Chinese SEO?"

Use schema markup for FAQs and comparisons.

Update content quarterly to stay ahead of AI updates.

🚀 Ready to Dominate Google? Share this article, leave a comment, and watch it climb to #1!

Follow for more AI vs AI battles—because in 2024, knowledge is power! 🔍

[mariacallous]

Like a venomous puss moth emerging from its hard cocoon, the social network formerly known as Twitter has fully metamorphosed into X.com.

Various elements of Twitter had already embraced the rebranding, and the company has been using X.com links since early April. But now the domain has flipped over entirely, marking the end of a tumultuous transition period—and erasing the last vestiges of the bird app.

“We are letting you know that we are changing our URL, but your privacy and data protection settings remain the same,” reads a message at the bottom of the X login and home pages.

The switchover has been a long time coming. X owner Elon Musk announced the shift from Twitter to X last July, a few months after he officially acquired the company. But the billionaire has for decades harbored a dream of creating an “everything app” by that name, and Twitter is his vessel.

“The Twitter name made sense when it was just 140-character messages going back and forth—like birds tweeting—but now you can post almost anything, including several hours of video,” Musk wrote on the newly redubbed X last summer. “In the months to come, we will add comprehensive communications and the ability to conduct your entire financial world. The Twitter name does not make sense in that context, so we must bid adieu to the bird.”

Twitter under Musk has indeed added video and voice calls to its roster of features. It has also replatformed conspiracy theorists like Alex Jones, fostered a welcoming environment for porn spam accounts, made an absolute hash out of verification, introduced a monetization system that encourages rampant engagement farming, gutted its trust and safety team, allowed a surge in hate speech on the platform, designated NPR as “US state-affiliated media,” removed news headlines entirely and then reintroduced them in a weird spot, kneecapped a bunch of fun bots and third-party apps by introducing wildly expensive API changes while giving blue-check verification to AI-generated chum, pivoted to video, introduced an AI model that will help you do crimes, and overseen a decline in usage of more than 20 percent in the US, according to app analytics firm SensorTower.

The “entire financial world” part remains a work in progress.

A sentimentalist may bemoan the death of Twitter, which for all its faults always had a capacity to delight and surprise. But remember that this transformation was inevitable. Musk first owned X.com in 1999, when he cofounded an online bank by that name; it would eventually merge with a competitor and become PayPal. He bought X.com back from PayPal in 2017, tweeting that it had “great sentimental value.” And he has seen Twitter as an opportunity to create X on Earth since before the acquisition was even completed, according to Musk biographer Walter Isaacson.

“In the days leading up to his takeover of Twitter at the end of October 2022, Musk’s moods fluctuated wildly,” Isaacson wrote in Elon Musk. “He said that he would turn it into the combination of financial platform and social network he had envisioned 24 years earlier for X.com, and he added that he planned to rebrand it with that name, which he loved.”

To put an even finer point on it, Musk’s tweet today announcing that “all core systems are now on X.com” featured the logo of the company he founded 25 years ago.

While X may never become the everything app of Musk’s dreams, it’s undeniably and indelibly a different place than the one he bought. Which in some ways makes this final transition all the more palatable. Whatever Elon Musk’s platform has become, it’s certainly not Twitter. Call it whatever you want.

[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.

[emon-khalid]

The Evolution of Web 2.0

The Evolution of Web 2.0: Transforming the Internet Experience

The internet has come a long way since its inception, and one of the most significant milestones in its evolution is Web 2.0. This term, first coined in the early 2000s, represents the shift from static web pages to dynamic, user-driven platforms. With the rise of social media, user-generated content, and interactive online services, Web 2.0 has revolutionized the way we connect, communicate, and create.

What is Web 2.0?

In simple terms, Web 2.0 refers to the transformation of the web into a more interactive and collaborative space. Unlike its predecessor, Web 1.0, which primarily consisted of static websites where users could only consume content, Web 2.0 allows users to actively participate in the creation and sharing of information. This paradigm shift has led to the rise of social networks, blogs, wikis, and other platforms that encourage collaboration and community building.

Key Features of Web 2.0:

User-Generated Content: Platforms like YouTube, Twitter, and Wikipedia have made it easier than ever for users to create and share their own content, whether it's videos, articles, or social media posts.

Social Networking: Facebook, Instagram, and LinkedIn are prime examples of Web 2.0's emphasis on building online communities where people can connect, share experiences, and collaborate.

Interactive Interfaces: Technologies like AJAX and APIs enable more dynamic, responsive web pages that allow real-time updates without refreshing the page. This has greatly enhanced the user experience, particularly on social media platforms.

Rich User Experiences: Web 2.0 applications are designed with the user in mind, making it easy to navigate, interact with, and personalize their online experiences.

The Impact of Web 2.0 on Digital Culture

Web 2.0 has empowered individuals to have a voice in the digital world. Blogs, forums, and social media platforms have democratized content creation, giving anyone with an internet connection the ability to publish their thoughts, ideas, and creations to a global audience.

For businesses, this shift has created new opportunities for engagement with consumers. Brands are now able to interact with customers directly through social media platforms, fostering a sense of community and loyalty.

Moreover, the rise of influencers and content creators on platforms like YouTube and Instagram has changed the landscape of marketing. People trust recommendations from peers and influencers more than traditional advertising, and brands have quickly adapted to this new form of communication.

What’s Next After Web 2.0?

As technology continues to advance, discussions around the next phase of the web—often referred to as Web 3.0—have begun. While Web 2.0 focuses on user interaction and community-driven content, Web 3.0 promises to take things even further by incorporating artificial intelligence, machine learning, and decentralized technologies like blockchain. In this new era, the web could become even more personalized, secure, and user-centric.

Conclusion

Web 2.0 has truly transformed the way we interact with the internet, bringing about an age of collaboration, connection, and creativity. As we look forward to the future, it's exciting to imagine how the web will continue to evolve and shape our digital experiences.

What are your thoughts on the future of the web? Share in the comments below!

For more details on the history and significance of Web 2.0, check out these sources:

The History of Web 2.0

Understanding Web 2.0 Concept

[govindhtech]

Open Platform For Enterprise AI Avatar Chatbot Creation

How may an AI avatar chatbot be created using the Open Platform For Enterprise AI framework?

I. Flow Diagram

The graph displays the application’s overall flow. The Open Platform For Enterprise AI GenAIExamples repository’s “Avatar Chatbot” serves as the code sample. The “AvatarChatbot” megaservice, the application’s central component, is highlighted in the flowchart diagram. Four distinct microservices Automatic Speech Recognition (ASR), Large Language Model (LLM), Text-to-Speech (TTS), and Animation are coordinated by the megaservice and linked into a Directed Acyclic Graph (DAG).

Every microservice manages a specific avatar chatbot function. For instance:

Software for voice recognition that translates spoken words into text is called Automatic Speech Recognition (ASR).

By comprehending the user’s query, the Large Language Model (LLM) analyzes the transcribed text from ASR and produces the relevant text response.

The text response produced by the LLM is converted into audible speech by a text-to-speech (TTS) service.

The animation service makes sure that the lip movements of the avatar figure correspond with the synchronized speech by combining the audio response from TTS with the user-defined AI avatar picture or video. After then, a video of the avatar conversing with the user is produced.

An audio question and a visual input of an image or video are among the user inputs. A face-animated avatar video is the result. By hearing the audible response and observing the chatbot’s natural speech, users will be able to receive input from the avatar chatbot that is nearly real-time.

Create the “Animation” microservice in the GenAIComps repository

We would need to register a new microservice, such “Animation,” under comps/animation in order to add it:

Register the microservice

@register_microservice( name=”opea_service@animation”, service_type=ServiceType.ANIMATION, endpoint=”/v1/animation”, host=”0.0.0.0″, port=9066, input_datatype=Base64ByteStrDoc, output_datatype=VideoPath, ) @register_statistics(names=[“opea_service@animation”])

It specify the callback function that will be used when this microservice is run following the registration procedure. The “animate” function, which accepts a “Base64ByteStrDoc” object as input audio and creates a “VideoPath” object with the path to the generated avatar video, will be used in the “Animation” case. It send an API request to the “wav2lip” FastAPI’s endpoint from “animation.py” and retrieve the response in JSON format.

Remember to import it in comps/init.py and add the “Base64ByteStrDoc” and “VideoPath” classes in comps/cores/proto/docarray.py!

This link contains the code for the “wav2lip” server API. Incoming audio Base64Str and user-specified avatar picture or video are processed by the post function of this FastAPI, which then outputs an animated video and returns its path.

The functional block for its microservice is created with the aid of the aforementioned procedures. It must create a Dockerfile for the “wav2lip” server API and another for “Animation” to enable the user to launch the “Animation” microservice and build the required dependencies. For instance, the Dockerfile.intel_hpu begins with the PyTorch* installer Docker image for Intel Gaudi and concludes with the execution of a bash script called “entrypoint.”

Create the “AvatarChatbot” Megaservice in GenAIExamples

The megaservice class AvatarChatbotService will be defined initially in the Python file “AvatarChatbot/docker/avatarchatbot.py.” Add “asr,” “llm,” “tts,” and “animation” microservices as nodes in a Directed Acyclic Graph (DAG) using the megaservice orchestrator’s “add” function in the “add_remote_service” function. Then, use the flow_to function to join the edges.

Specify megaservice’s gateway

An interface through which users can access the Megaservice is called a gateway. The Python file GenAIComps/comps/cores/mega/gateway.py contains the definition of the AvatarChatbotGateway class. The host, port, endpoint, input and output datatypes, and megaservice orchestrator are all contained in the AvatarChatbotGateway. Additionally, it provides a handle_request function that plans to send the first microservice the initial input together with parameters and gathers the response from the last microservice.

In order for users to quickly build the AvatarChatbot backend Docker image and launch the “AvatarChatbot” examples, we must lastly create a Dockerfile. Scripts to install required GenAI dependencies and components are included in the Dockerfile.

II. Face Animation Models and Lip Synchronization

GFPGAN + Wav2Lip

A state-of-the-art lip-synchronization method that uses deep learning to precisely match audio and video is Wav2Lip. Included in Wav2Lip are:

A skilled lip-sync discriminator that has been trained and can accurately identify sync in actual videos

A modified LipGAN model to produce a frame-by-frame talking face video

An expert lip-sync discriminator is trained using the LRS2 dataset as part of the pretraining phase. To determine the likelihood that the input video-audio pair is in sync, the lip-sync expert is pre-trained.

A LipGAN-like architecture is employed during Wav2Lip training. A face decoder, a visual encoder, and a speech encoder are all included in the generator. Convolutional layer stacks make up all three. Convolutional blocks also serve as the discriminator. The modified LipGAN is taught similarly to previous GANs: the discriminator is trained to discriminate between frames produced by the generator and the ground-truth frames, and the generator is trained to minimize the adversarial loss depending on the discriminator’s score. In total, a weighted sum of the following loss components is minimized in order to train the generator:

A loss of L1 reconstruction between the ground-truth and produced frames

A breach of synchronization between the lip-sync expert’s input audio and the output video frames

Depending on the discriminator score, an adversarial loss between the generated and ground-truth frames

After inference, it provide the audio speech from the previous TTS block and the video frames with the avatar figure to the Wav2Lip model. The avatar speaks the speech in a lip-synced video that is produced by the trained Wav2Lip model.

Lip synchronization is present in the Wav2Lip-generated movie, although the resolution around the mouth region is reduced. To enhance the face quality in the produced video frames, it might optionally add a GFPGAN model after Wav2Lip. The GFPGAN model uses face restoration to predict a high-quality image from an input facial image that has unknown deterioration. A pretrained face GAN (like Style-GAN2) is used as a prior in this U-Net degradation removal module. A more vibrant and lifelike avatar representation results from prettraining the GFPGAN model to recover high-quality facial information in its output frames.

SadTalker

It provides another cutting-edge model option for facial animation in addition to Wav2Lip. The 3D motion coefficients (head, stance, and expression) of a 3D Morphable Model (3DMM) are produced from audio by SadTalker, a stylized audio-driven talking-head video creation tool. The input image is then sent through a 3D-aware face renderer using these coefficients, which are mapped to 3D key points. A lifelike talking head video is the result.

Intel made it possible to use the Wav2Lip model on Intel Gaudi Al accelerators and the SadTalker and Wav2Lip models on Intel Xeon Scalable processors.

Read more on Govindhtech.com

[tanlakarix]

What you should know about Missed Call Service and Voice OTP

With the support of Voice API platforms, you can now employ compelling voice messaging solutions for your organization that can be easily scaled and customized. These platforms can assist you in automating voice notifications for low-balance changes, suspicious activity warnings, password resets, and other functions that contribute to client loyalty and satisfaction with your brand. You can even get missed call solutions through such API platforms, among other things.

Missed call services are increasingly being used by organizations all over the world for a variety of purposes, ranging from client verification to the promotion of services or products. It is frequently used to perform surveys or pools. In this approach, a phone number is typically promoted to clients using platforms such as websites, social media, SMS, emails, and others. Customers only need to make a missed call to this number to provide feedback, register for the product or service, look for special offers, and more. The missed call system is extremely convenient for both businesses and customers.

In today’s fast-paced world, few customers have the time, even if they want to, to engage with brands. As a result, they are continually looking for the simplest, most economical, fastest, and most convenient ways to communicate with a company. In this circumstance, missed call service is an excellent communication tool. It is a very convenient means of communication that is completely free of charge.

Missed call solutions are used in a variety of ways by modern commercial companies, including:

Verify authenticity: Companies that deal with food ordering or e-commerce frequently require their customers to leave a missed call from their registered number to check the order and the consumer.

Increase reach: Because missed calls are free, businesses may reach even the most remote areas, such as villages and small towns. It can be a good source of quality leads for a variety of businesses.

Feedback forms: While feedback is essential for business progress and advancement, getting input from customers is not always easy. Feedback is often limited in many circumstances. Because of its low cost and ease of use, the missed call system has the potential to increase the sample size of this feedback process.

How does voice-based communication work?

Voice-based communication strategies utilized by modern corporations can take several forms. Many businesses use voice-based OTPs in addition to outbound and incoming calling services. One-Time Password, or OTP, is a two-factor authentication (2FA) procedure that generates one-time passwords to provide an extra layer of security to messages. When the delivery of an OTP SMS fails regularly, voice-based OTP Services come in handy. During the OTP verification procedure, a customer can also initiate the generation of an OTP Voice. Most businesses utilize voice OTPs for:

Authorization: Voice OTPs are critical in granting third-party access, such as allowing delivery agents into secured areas.

Authentication: Voice OTP verification is excellent for exceptionally secure transactions such as product or service registration and net banking.

Transaction verification: By validating high-value transactions with the use of a Voice OTP service, businesses can better safeguard their consumers from financial fraud.

Resets: Voice OTP can be a safe and simple way for clients to recover access to services after changing their email address or password.

Account reactivations: Using a secure IVR OTP sequence is an excellent approach to greet consumers who are resuming their services with a company.

Voice-based communication strategy for enterprises

A professional communication plan is essential for all businesses. While emails, social media, and texting are certainly useful for engaging with leads, an increasing number of businesses are looking into Enterprise Voice Solutions to speed up their communication strategy. To engage with their clients in an innovative, engaging, and user-friendly manner, they often use Voice API systems that offer voice calling, conferencing, and missed call services. You can govern your inbound calls and convert more calls into income by employing these Voice API solutions effectively. It may even allow you to integrate call tracking into your existing software platform to eliminate data silos.

Advantages of using a voice messaging system for business

Increase in business engagement level.

Voice calling capabilities enable a more personalized customer experience. Some of these systems even handle vernacular languages. As a result, your clients can interact with your company in the language of their choice. This method dramatically increases corporate engagement and ensures increased customer satisfaction.

Easy to scale.

Voice API systems enable your company to connect with carriers across borders. This is a big benefit for businesses that cater to worldwide clients or customers. With the support of these platforms, they may easily scale up their communication approach.

Time-sensitive voice OTPs

Many voice systems enable the sending of OTPs. They ensure the timely distribution of crucial and time-sensitive information around the world via calls. Voice-based OTP, like traditional SMS OTP, is a two-factor authentication method. It is a reliable and timely notification solution that ensures messages are sent securely to consumers’ mobile phones on time. It is commonly used for utility passwords and notifications.

With clever outbound calling services, you may rapidly send prerecorded messages of phone calls to thousands of mobile numbers at the same time. It facilitates the delivery of real-time information to target customers. Inbound voice solutions, on the other hand, assist you in answering routine caller questions on your own by automating the process and decreasing the call load of agents.

For More Info: https://www.karix.com/products/voice-solutions/

[toollistai]

What is Narrot? Automate your first line support with AI chat agents

Narrot is a cutting-edge AI-powered tool designed to streamline customer support processes. By leveraging advanced natural language processing and machine learning, Narrot provides an automated solution for customer interactions. It enables businesses to offer quick, accurate, and round-the-clock support, effectively reducing response times and improving customer satisfaction.

Features:

AI-Powered Automation: Automates customer queries with high accuracy, freeing up time for support teams.

24/7 Availability: Ensures customers receive help anytime, boosting overall satisfaction.

Multi-Channel Support: Integrates with various platforms to manage customer queries from multiple sources.

Customizable Responses: Tailor responses to align with brand voice and customer needs.

Analytics and Insights: Offers detailed analytics to help businesses refine their support strategy.

Uses: Ideal for customer service teams and businesses looking to enhance their support capabilities, Narrot assists by automating repetitive tasks and providing seamless customer support across channels. This tool helps reduce workload, improve efficiency, and maintain a consistent, high-quality customer experience.

[fabvancesolution]

The Future of Web Development: Trends, Techniques, and Tools

Web development is a dynamic field that is continually evolving to meet the demands of an increasingly digital world. With businesses relying more on online presence and user experience becoming a priority, web developers must stay abreast of the latest trends, technologies, and best practices. In this blog, we’ll delve into the current landscape of web development, explore emerging trends and tools, and discuss best practices to ensure successful web projects.

Understanding Web Development

Web development involves the creation and maintenance of websites and web applications. It encompasses a variety of tasks, including front-end development (what users see and interact with) and back-end development (the server-side that powers the application). A successful web project requires a blend of design, programming, and usability skills, with a focus on delivering a seamless user experience.

Key Trends in Web Development

Progressive Web Apps (PWAs): PWAs are web applications that provide a native app-like experience within the browser. They offer benefits like offline access, push notifications, and fast loading times. By leveraging modern web capabilities, PWAs enhance user engagement and can lead to higher conversion rates.

Single Page Applications (SPAs): SPAs load a single HTML page and dynamically update content as users interact with the app. This approach reduces page load times and provides a smoother experience. Frameworks like React, Angular, and Vue.js have made developing SPAs easier, allowing developers to create responsive and efficient applications.

Responsive Web Design: With the increasing use of mobile devices, responsive design has become essential. Websites must adapt to various screen sizes and orientations to ensure a consistent user experience. CSS frameworks like Bootstrap and Foundation help developers create fluid, responsive layouts quickly.

Voice Search Optimization: As voice-activated devices like Amazon Alexa and Google Home gain popularity, optimizing websites for voice search is crucial. This involves focusing on natural language processing and long-tail keywords, as users tend to speak in full sentences rather than typing short phrases.

Artificial Intelligence (AI) and Machine Learning: AI is transforming web development by enabling personalized user experiences and smarter applications. Chatbots, for instance, can provide instant customer support, while AI-driven analytics tools help developers understand user behavior and optimize websites accordingly.

Emerging Technologies in Web Development

JAMstack Architecture: JAMstack (JavaScript, APIs, Markup) is a modern web development architecture that decouples the front end from the back end. This approach enhances performance, security, and scalability by serving static content and fetching dynamic content through APIs.

WebAssembly (Wasm): WebAssembly allows developers to run high-performance code on the web. It opens the door for languages like C, C++, and Rust to be used for web applications, enabling complex computations and graphics rendering that were previously difficult to achieve in a browser.

Serverless Computing: Serverless architecture allows developers to build and run applications without managing server infrastructure. Platforms like AWS Lambda and Azure Functions enable developers to focus on writing code while the cloud provider handles scaling and maintenance, resulting in more efficient workflows.

Static Site Generators (SSGs): SSGs like Gatsby and Next.js allow developers to build fast and secure static websites. By pre-rendering pages at build time, SSGs improve performance and enhance SEO, making them ideal for blogs, portfolios, and documentation sites.

API-First Development: This approach prioritizes building APIs before developing the front end. API-first development ensures that various components of an application can communicate effectively and allows for easier integration with third-party services.

Best Practices for Successful Web Development

Focus on User Experience (UX): Prioritizing user experience is essential for any web project. Conduct user research to understand your audience's needs, create wireframes, and test prototypes to ensure your design is intuitive and engaging.

Emphasize Accessibility: Making your website accessible to all users, including those with disabilities, is a fundamental aspect of web development. Adhere to the Web Content Accessibility Guidelines (WCAG) by using semantic HTML, providing alt text for images, and ensuring keyboard navigation is possible.

Optimize Performance: Website performance significantly impacts user satisfaction and SEO. Optimize images, minify CSS and JavaScript, and leverage browser caching to ensure fast loading times. Tools like Google PageSpeed Insights can help identify areas for improvement.

Implement Security Best Practices: Security is paramount in web development. Use HTTPS to encrypt data, implement secure authentication methods, and validate user input to protect against vulnerabilities. Regularly update dependencies to guard against known exploits.

Stay Current with Technology: The web development landscape is constantly changing. Stay informed about the latest trends, tools, and technologies by participating in online courses, attending webinars, and engaging with the developer community. Continuous learning is crucial to maintaining relevance in this field.

Essential Tools for Web Development

Version Control Systems: Git is an essential tool for managing code changes and collaboration among developers. Platforms like GitHub and GitLab facilitate version control and provide features for issue tracking and code reviews.

Development Frameworks: Frameworks like React, Angular, and Vue.js streamline the development process by providing pre-built components and structures. For back-end development, frameworks like Express.js and Django can speed up the creation of server-side applications.

Content Management Systems (CMS): CMS platforms like WordPress, Joomla, and Drupal enable developers to create and manage websites easily. They offer flexibility and scalability, making it simple to update content without requiring extensive coding knowledge.

Design Tools: Tools like Figma, Sketch, and Adobe XD help designers create user interfaces and prototypes. These tools facilitate collaboration between designers and developers, ensuring that the final product aligns with the initial vision.

Analytics and Monitoring Tools: Google Analytics, Hotjar, and other analytics tools provide insights into user behavior, allowing developers to assess the effectiveness of their websites. Monitoring tools can alert developers to issues such as downtime or performance degradation.

Conclusion

Web development is a rapidly evolving field that requires a blend of creativity, technical skills, and a user-centric approach. By understanding the latest trends and technologies, adhering to best practices, and leveraging essential tools, developers can create engaging and effective web experiences. As we look to the future, those who embrace innovation and prioritize user experience will be best positioned for success in the competitive world of web development. Whether you are a seasoned developer or just starting, staying informed and adaptable is key to thriving in this dynamic landscape.

more about details :- https://fabvancesolutions.com/

[shamebats]

While I'm in the mood for rambling about companies doing things that are terrible for users on purpose, there's also on-going drama with Reddit announcing that they'll be ending free calls to their API (the system apps use to get data and send data to Reddit). This will kill many very important 3rd party apps. Among them is Reddit for Blind, a better alternative to the official app for people who use a screenreader.

The mods of /r/blind have released a statement saying "This doesn't only impact your ability to access Reddit in a fluid, customizable, and efficient way; many of us on the mod team are also blind, and we depend on those third party apps to make sure that this community remains a safe, fun, and productive place. Unfortunately, new Reddit, and the official Reddit apps, just don't provide us with the levels of accessibility we need in order to continue effectively running this community. As well, the Transcribers of Reddit, the many dedicated folks who volunteer to transcribe and describe thousands and thousands of images on Reddit, may also be unable to operate."

Another statement from /r/ModCoord:

"On Android, the official Reddit mobile app is reasonably usable with the Android screen reader, but the experience on iOS is a completely different story. There are missing elements, broken navigation, nonsensical labels, and more problems that plague those who just want to interact with the site. If you decide to become a moderator the problems are compounded even more.

Third party apps, like Dystopia for Reddit and Apollo, have addressed this niche left so underserved for so many years because Reddit won't. It took literal years of tickets and complaints to get New Reddit to be accessible, and now the door has been shut in our collective faces. As things currently stand, this change doesn't just take away our clients; it takes away our voice."

So Reddit is about to push many visually impaired users off the platform because they want to make money off of free, not for profit 3rd party apps but have so far failed to make their official iOS app work properly with screen readers and they don't give a shit. Fuck Reddit.

[chatbox360suite]

Use the Right Whatsapp Message to Communicate Better To Promote Business

WhatsApp become the right platform for communication in both personal and professional contexts. It reaches a large user base and provides free and easy communication. If you are an official business, you should switch to the WhatsApp Business API. You have to check out the whatsapp message api pricing before going to hire a service. Businesses may incorporate WhatsApp's messaging features into their apps with the help of this potent technology.

Benefits of WhatsApp Business API

For businesses trying to develop relationships with their clients, WhatsApp Business API is a one-time expense. Let us explore the ten greatest benefits of the WhatsApp business API. Capabilities for real-time messaging in one app connected to the cloud are WhatsApp Business API. Real-time message sending and receiving is the biggest benefit. This instantaneous dialogue and interaction with your clients offers immediate assistance and answers their questions. For example, you can answer right away to a customer's question regarding whether a particular product is available. This facilitates effective communication and encourages them to purchase it.

Increased customer satisfaction:

A component of the API enables chatbots or pre-written message templates to provide instantaneous answers to frequently asked questions. This implies that even beyond business hours, clients obtain prompt responses. You can set up an automatic message to respond to a customer's inquiry regarding the shipment status of their order in real-time, guaranteeing their pleasure and cutting down on response time.

Personalized interactions 

It is not feasible to manually compile information about your customers' preferences based on their transactions or interactions. This problem is resolved by the WhatsApp Business API, which collects client data and uses it to provide tailored messages. Provide customized product recommendations to customers based on their past purchases or searches. Customers are drawn to your website by targeted messaging, increasing the likelihood of a successful sale.

Multimedia messaging options

The WhatsApp Business API offers free support for rich multimedia communications, in contrast to regular SMS. Using WhatsApp, you may send your clients documents, photos, videos, and even voice snippets. This creates innovative opportunities for grabbing clients' attention graphically. Send infographics to your clients to highlight your most recent products so they can view the specifics and decide what to buy.

Automated responses and chatbots

WhatsApp Business API's ability to use chatbots and automated responses is one of its main features. You can program responses to be sent out automatically in the event that a consumer contacts your company with a typical question, like finding out the status of an order. With the WhatsApp API, a chatbot may be integrated to offer immediate assistance. Time is saved, and timely and consistent customer service is guaranteed.

Conclusion:

You are able to manage several discussions at once with efficiency. By allocating support agents to individual chats, the API is an excellent method of guaranteeing that clients receive prompt responses. Using automated routing increases client loyalty and happiness. The WhatsApp business API cost helps to provide great support at all times. The WhatsApp Business API enables better response times and round-the-clock accessibility. In contrast to conventional customer care channels that have set hours of operation, WhatsApp allows businesses to offer 24/7 service.

[anushaansari]

🌟 Embracing the Future of Mobile App Development 🌟

Hey Tumblr fam! 📱✨ As we dive into 2024, the world of mobile app development is buzzing with exciting trends that are shaping the way we interact with technology. Here’s a glimpse into what’s on the horizon:

AI & Machine Learning: Apps are getting smarter, thanks to AI and ML, offering personalized experiences and predictive insights.

5G Revolution: With 5G, expect faster speeds and enhanced capabilities for apps, paving the way for immersive AR, VR, and IoT applications.

Cross-Platform Development: Tools like Flutter and React Native make it easier to develop apps that work seamlessly across different devices and platforms.

AR & VR Experiences: From virtual shopping to interactive gaming, AR and VR are transforming how users engage with apps.

Blockchain Integration: Enhancing security and transparency in mobile apps through decentralized solutions.

IoT Connectivity: Apps that connect with smart devices, offering seamless control and monitoring.

Progressive Web Apps (PWAs): Combining the best of web and mobile apps for a responsive and engaging user experience.

Enhanced Mobile Security: Biometric authentication, encryption, and secure APIs to protect user data.

Wearable Tech Integration: Apps that sync with smartwatches and fitness trackers, offering personalized health insights.

Voice-Activated Interfaces: Hands-free interaction with apps through virtual assistants like Siri and Alexa.

💡 Want to dive deeper into the world of mobile app development? Check out this insightful article on Warticles.com. It covers the top 10 key features to consider when choosing the best mobile app builder.

And if you’re thinking of building your own app, explore MageNative- Mobile App Builder on Shopify! It’s packed with features to streamline your development process.

Stay tuned for more updates and insights on technology trends. Follow for the latest in mobile app development and beyond! 📲💬