#oracle of chatbot

[wat3rm370n]

Republicans attempt to mandate deregulation of AI for tech tycoons and fossil fuel.

They want to stop all the protections and oversight of automation completely in the country, and handcuff state and local efforts to protect communities and save lives.

404 Media - Republicans Try to Cram Ban on AI Regulation Into Budget Reconciliation Bill Emanuel Maiberg · May 12, 2025 at 10:09 AM “...no State or political subdivision thereof may enforce any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems during the 10 year period beginning on the date of the enactment of this Act,” says the text of the bill introduced Sunday night by Congressman Brett Guthrie of Kentucky, Chairman of the House Committee on Energy and Commerce. That language of the bill, how it goes on to define AI and other “automated systems,” and what it considers “regulation,” is broad enough to cover relatively new generative AI tools and technology that has existed for much longer. In theory, that language will make it impossible to enforce many existing and proposed state laws that aim to protect people from and inform them about AI systems. (emphasis added)

This is straight out of the anti public health and climate denial legislative playbook.

Unfortunately in Pennsylvania Governor Josh Shapiro is forcing AI tools into state government and I'm sure employees feel pressured to use such "tools" even if they do damage, because they want to keep their jobs after all, by keeping their deadlines. The incentive usually being to get things done, not necessarily do things right — and chatbots have the uncanny ability to make things look and sound believable even when they're incorrect. In my opinion, this technology belongs nowhere near the people's business.

My letter to reps:

AI and chatbots absolutely need regulation and oversight. And if the feds won't, the states have a right and a responsibility to do so. The idea of handcuffing us from protecting anyone is like saying you want dirty drinking water. I don't want this everywhere. AI is an out of control financial bubble wasting fossil fuel. It outputs inaccurate information, causing threats to patient safety in healthcare settings and has directly led to illness and even death. An AI generated foraging book told people to eat poison mushrooms. Fake childrens books full of nonsense. It can't even do what they say. It seems only to be able to create convincing sounding BS, use energy and water and land that communities desperately need. And it's functioning as an Oracle of Chatbot thing where unwitting people are being told they're connected to a spirit in the universe. Some would surely call this blasphemy. The pope himself has specifically called out the need to defend human dignity against AI. So why do politicians think they should stifle the freedom to protect communities?

Please feel free to copy or repurpose for your own letters to reps.

Pope Leo XIV throws down the gauntlet against AI hype. At his first "working meeting", the pope outlined his priorities to include defending "human dignity" against the threat of AI, citing the dehumanizing effects of the industrial revolution. Chloe Humbert May 13, 2025

Republican state legislators in PA float punitive control of local governments forcing favour to fossil fuel. Republican lawmakers want to punish municipalities attempting to protect local residents and public safety, and impede their compensation for environmental destruction by gas drillers. Chloe Humbert Oct 24, 2024

Lying AI should not be doing the people's business or science. Lives are at stake and the U.S. government and scientific scholars are buying into tech hype boondoggles. Is it corruption, incompetence, or sabotage? Chloe Humbert Mar 22, 2024

More references can be found on these:

The oracle of chatbot phenomenon is not benign. Don't Wait For Everybody - Episode 022 Chloe Humbert May 07, 2025

It's imperative to inform politicians about tech scams that target their ideological hopes with false promises. Crypto mogul donors lure politicians to betray their communities by saying they're doing it to benefit their communities. It's a trick. Chloe Humbert Apr 14, 2025

[mostlysignssomeportents]

Ray Nayler’s “Where the Axe Is Buried”

I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in SAN DIEGO at MYSTERIOUS GALAXY next MONDAY (Mar 24), and in CHICAGO with PETER SAGAL on Apr 2. More tour dates here.

Ray Nayler's Where the Axe Is Buried is an intense, claustrophobic novel of a world run by "rational" AIs that purport to solve all of our squishy political problems with empirical, neutral mathematics:

https://us.macmillan.com/books/9780374615369/wheretheaxeisburied/

In Naylor's world, we there are two blocs. "The west," where the heads of state have been replaced with chatbots called "PMs." These PMs propose policy to tame, rubberstamp legislatures, creating jobs programs, setting monetary and environmental policies, and ruling on other tricky areas where it's nearly impossible to make everyone happy. These countries are said to be "rationalized," and they are peaceful and moderately prosperous, and have finally tackled the seemingly intractable problems of decarbonization, extreme poverty, and political instability.

In "the Republic" – a thinly veiled version of Russia – the state is ruled by an immortal tyrant who periodically has his consciousness decanted into a blank body after his own body falls apart. The state maintains the fiction that each president is a new person, manufacturing families, friends, teachers and political comrades who can attest to the new president's long history in the country. People in the Republic pretend to believe this story, but in practice, everyone knows that it's the same mind running the country, albeit sometimes with ill-advised modifications, such as an overclocking module that runs the president's mind at triple human speeds.

The Republic is a totalitarian nightmare of ubiquitous surveillance and social control, in which every movement and word is monitored, and where social credit scores are adjusted continuously to reflect the political compliance of each citizen. Low social credit scores mean fewer rations, a proscribed circle of places you can go, reduced access to medical care, and social exclusion. The Republic has crushed every popular uprising, acting on the key realization that the only way to cling to power is to refuse to yield it, even (especially) if that means murdering every single person who takes part in a street demonstration against the government.

By contrast, the western states with their chatbot PMs are more open – at least superficially. However, the "rationalized" systems use less obvious – but no less inescapable – soft forms of control that limit the social mobility, career chances, and moment-to-moment and day-to-day lives of the people who live there. As one character who ventures from the Republic to London notes, it is a strange relief to be continuously monitored by cameras there to keep you safe and figure out how to manipulate you into buying things, rather than being continuously monitored by cameras seeking a way to punish you.

The tale opens on the eve of the collapse of these two systems, as the current president of the Republic's body starts to reject the neural connectome that was implanted into its vat-grown brain, even as the world's PMs start to sabotage their states, triggering massive civil unrest that brings the west to its knees, one country after another.

This is the backdrop for a birchpunk† tale of AI skulduggery, lethal robot insects, radical literature, swamp-traversing mechas, and political intrigue that flits around a giant cast of characters, creating a dizzying, in-the-round tour of Nayler's paranoid world

† Russian-inflected cyberpunk with Baba Yaga motifs and nihilistic Russian novel vibes

And what a paranoid world it is! Nayler's world shows two different versions of Oracle boss (and would-be Tiktok owner) Larry Ellison, who keeps pumping his vision of an AI-driven surveillance state where everyone is continuously observed, recorded and judged by AIs so we are all on our "best behavior":

https://fortune.com/2024/09/17/oracle-larry-ellison-surveillance-state-police-ai/

This batshit idea from one of tech's worst billionaires is a perfect foil for a work of first-rate science fiction like Where the Axe Is Buried, which provides an emotional flythrough of how such a world would obliterate the authentic self, authentic relationships, and human happiness.

Where the Axe Is Buried conjures up that world beautifully, really capturing the deadly hopelessness of a life where the order is fixed for all eternity, thanks to the flawless execution of perfect, machine-generated power plays. But Axe shows how the embers of hope smolder long after they should have been extinguished, and how they are always ready to be kindled into a roaring, system-consuming wildfire.

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

https://pluralistic.net/2025/03/birchpunk/#cyberspace-is-everting

[glendasguidance]

🕸️🌱✨🪷🌒🌕🌘🪷✨🌱🕸️

Welcome friends, new and old!

✩ about me ✩₊˚.⋆☾⋆⁺₊✧

My name is Glenda, and I've been reading tarot for 5 years, and making zines for 7 years. I’m looking forward to giving more readings to others to practice my skills. I use my intuition and the usual meanings of the cards. I’m also so excited to share my zines and become more connected with the tarot, zine, writing, and art communities. 🥰

check out patreon for zines & tarot readings 💌✨📬📮

What is a zine?? (click me) 🎥 📺⚡️

cancer ↑ aquarius 𖤓 leo ☾ [tropical zodiacal system] gemini ↑ capricorn 𖤓 cancer ☾ [sidereal zodiacal system]

I used to post on a side blog and switched to this primary blog so I can interact with you guys more. I have a lot of readings I'm proud of on that old side blog, which you can find there and on my pick-a-card masterpost.

✯ patreon ✯ free readings ✯ masterpost ✯

tags used: glenda gabs, glenda’s guidance, ask box tarot readings, tarot reading feedback, pick a card reading, memes, thoughts on spirituality, tarot decks, reblogging from my old blog, tarot / oracle spread I made, zine thingz, zinester, what are you queueing?

⁺₊✧ DISCLAIMERS ⋆˚˖°*ੈ♡⸝⸝🪐༘⋆

entertainment purposes only!! I do not answer health, death, or legal questions. if you are in a state of crisis of any form, please seek help from a professional, hotline, or other relevant help instead.

I do free readings when I can, and I can refuse any reading as well. Please allow for about a week for me to do your free reading (I do these in my spare time). To get a free reading you must: 1.) follow my blog 2.) say in your message you read the disclaimer completely (and I ask that you actually read the entire thing)

no third party questions, I will only read the cards for and about you, or a person you are in direct contact with (ex. advice about the person you're dating, your job / boss, etc).

no celebrity readings

no nsfw readings (I'm not against them. I've realized it'll be easier to make sure I'm only doing these readings for people over 18 through Patreon. I've also realized I only feel comfortable doing them if the question is about advice on how to improve a sexual relationship, or explore your desires. Basically, I'm not a reader who will answer fantasy based questions on this topic. Example: future spouse, crush, etc.)

tarot reading only reflects the energy of the present moment, and therefore the real life outcome can be changed / different than what was read. also, I could simply be wrong (I am human after all). take all answers given with a grain of salt.

I will never message, dm, or mention anyone as a form of solicitation. I only accept potential clients who come to me. I will only advertise available readings by way of general posts. If it looks like I'm messaging you / offering you a reading, it's a scam.

I work hard on my writing (especially for long posts). For people making AI chatbots that are supposed to do divination (or people teaching any form of AI anything), I do not consent to my writing, blog's likeness, or anything associated with my work, to be used to teach any machine learning software for any purpose. My answer is no.

you are responsible for your own choices before, during, and after a reading of any kind 🧿

🕸️🌱✨🪷🌒🌕🌘🪷✨🌱🕸️

[heghogsblog]

вчера китайская компания «DeepSeek» обрушила американский рынок ИИ на триллион долларов.

к концу января модель китайской лаборатории R1 заняла 3-е место на Chatbot Arena, обогнав американскую ChatGPT 01 (OpenAl) по производительности.

преимущество еще и в том, что разработка китайского чат-бота обошлась в 100 раз дешевле. DeepSeek появилась в США 10 января и стала самым популярным приложением Apple AppStore, лишив IT-гигантов США средств на $1 трлн. это почти вдвое больше, чем весь российский рынок акций.

китайский стартап обвалил акции производителя чипов Nvidia более чем на 16% ($600 млрд), Oracle - на 7%. пострадали Microsoft, Meta, Platforms Inc. Tesla.

превосходство США в области ИИ поставлено под сомне��ие - в гонке счет 1:0 в пользу Китая. но американцы конечно не сдадутся так просто, вчера DeepSeek сообщила о кибератаке на свое приложение. кроме того во вторник президент Трамп объявил о выделении 500 миллиардов долларов частных инвестиций, на развитие инфраструктуры искусственного интеллекта в Соединенных Штатах.

кибер война началась!

[exploreknowledgehub]

Try https://acimnow.app/, a free website tool that helps you practice and learn A Course in Miracles (ACIM). You can listen to the daily lesson and text read by David Hoffmeister, read along on your device, ask the Oracle tool for guidance, and even us our "David AI" chatbot to answer practical questions about ACIM within https://acimnow.app/! 

A Course In Miracles: PUT GOD FIRST. (Precious Universal Truth   Give Only Divinity   Forgive Insane Relative Space Time)

Join us in the journey of healing and peace at https://acimnow.app/  

David AI is also available in other languages here: https://chat.spiri.ai/david-ai

We also have Forgiveness AI, a chatbot for guiding you back to Love: https://chat.spiri.ai/david-ai

To be the first to know about upcoming events and inspiring opportunities to connect with David, join our mailing list: https://bit.ly/LM-mailing-list

__________________________________________________________________________

If you have found this David Hoffmeister video meaningful, please like, share, and follow!!  

For more insightful teachings from David Hoffmeister...

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Visit David's website at:  

Read A Course In Miracles for free at:  https://acim.biz/a-course-in-miracles-audio-acim/

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Watch ACIM WB Lesson 1 video with David's voice as background:   

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Huge audio collection of David's Talks

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[xgi-wave]

DeepSeek complete explained: Everything you need to know 2025

DeepSeek, a Chinese AI firm, is shaking up the industry with its low-cost, open-source large language models, posing a serious challenge to U.S. tech giants.

Breaking the AI Norms

For years, the belief was that developing powerful large language models required massive funding and cutting-edge technology. That’s why the U.S. government pledged to back the $500 billion Stargate Project, announced by President Donald Trump.

But DeepSeek has flipped that idea on its head. On January 20, 2025, the Chinese AI firm stunned the world by releasing its R1 large language model (LLM) at a fraction of the cost of its competitors. What made it even more disruptive? DeepSeek offered its R1 models under an open-source license, making them freely available to the public.

Within days, DeepSeek’s AI assistant—an easy-to-use chatbot app powered by R1—shot to the top of Apple’s App Store, surpassing OpenAI’s ChatGPT in downloads. The ripple effect was immediate: On January 27, 2025, stock markets took a hit as investors started doubting the long-term dominance of U.S.-based AI companies. Tech giants like Nvidia, Microsoft, Meta, Oracle, and Broadcom saw their stock values plummet as the world took notice of DeepSeek’s rapid rise.

What is DeepSeek?

DeepSeek is an AI research company based in Hangzhou, China. It was founded in May 2023 by Liang Wenfeng, a graduate of Zhejiang University and co-founder of High-Flyer, a quantitative hedge fund that owns DeepSeek. While the company’s funding and valuation remain undisclosed, its impact on the AI landscape is undeniable.

DeepSeek is committed to developing open-source LLMs. Its first model debuted in November 2023, but it wasn’t until January 2025—with the release of the groundbreaking R1 reasoning model—that the company gained worldwide recognition.

The company offers multiple access points for its AI models, including a web platform, a mobile app, and an API for developers.

Read full details

[mastergarryblogs]

Cloud AI Market Growth: Key Applications, Opportunities, and Industry Outlook 2032

Introduction

The global Cloud AI Market is experiencing unprecedented growth, driven by the increasing demand for artificial intelligence (AI) capabilities on cloud platforms. As businesses across various industries embrace AI-driven automation, predictive analytics, and machine learning, cloud-based AI solutions are becoming indispensable. This article provides an in-depth analysis of the Cloud AI Market, its key segments, growth drivers, and future projections.

Cloud AI Market Overview

The Cloud AI Market has witnessed rapid expansion, with an estimated compound annual growth rate (CAGR) of 39.6% from 2023 to 2030. Factors such as the adoption of AI-driven automation, increased investment in AI infrastructure, and the proliferation of cloud computing have fueled this surge.

Request Sample Report PDF (including TOC, Graphs & Tables): www.statsandresearch.com/request-sample/40225-global-cloud-ai-market

What is Cloud AI?

Cloud AI refers to the integration of artificial intelligence tools, models, and infrastructure within cloud-based environments. This includes AI-as-a-service (AIaaS) offerings, where businesses can leverage machine learning, deep learning, and natural language processing (NLP) without the need for extensive on-premise infrastructure.

Cloud AI Market Segmentation

By Technology

Deep Learning (35% Market Share in 2022)

Used for image recognition, speech processing, and advanced neural networks.

Key applications in autonomous vehicles, healthcare diagnostics, and fraud detection.

Machine Learning

Supports predictive analytics, recommendation engines, and automated decision-making.

Natural Language Processing (NLP)

Powers chatbots, sentiment analysis, and voice assistants.

Others

Includes AI algorithms for robotics, cybersecurity, and AI-driven optimization.

Get up to 30% Discount: www.statsandresearch.com/check-discount/40225-global-cloud-ai-market

By Type

Solutions (64% Market Share in 2022)

Cloud-based AI solutions offered by major tech players like Amazon, Microsoft, and Google.

Includes AI-powered SaaS platforms for various industries.

Services

AI consultation, implementation, and support services.

By Vertical

IT & Telecommunication (Dominated Market in 2022 with 19% Share)

AI-driven network optimization, cybersecurity, and data management.

Healthcare

AI in medical imaging, diagnostics, and drug discovery.

Retail

AI-driven recommendation systems and customer analytics.

BFSI (Banking, Financial Services, and Insurance)

Fraud detection, risk management, and automated trading.

Manufacturing

Predictive maintenance, AI-powered robotics, and supply chain optimization.

Automotive & Transportation

Autonomous vehicles, AI-powered traffic management, and fleet analytics.

Cloud AI Market Regional Insights

North America (32.4% Market Share in 2022)

Home to leading AI and cloud computing companies like Google, IBM, Microsoft, Intel.

Early adoption of AI in healthcare, finance, and retail.

Asia-Pacific

Rapid digital transformation in China, Japan, India, and South Korea.

Government initiatives supporting AI research and development.

Europe

Strong presence of AI startups and tech firms.

Increasing investment in cloud-based AI solutions.

Middle East & Africa

Growing adoption of AI in smart cities, banking, and telecommunications.

Rising interest in AI for government services.

South America

Expansion of AI-driven fintech solutions.

Growth in AI adoption within agriculture and retail sectors.

Competitive Landscape

Key Cloud AI Market Players

Apple Inc.

Google Inc.

IBM Corp.

Intel Corp.

Microsoft Corp.

NVIDIA Corp.

Oracle Corp.

Salesforce.com Inc.

These companies are investing heavily in AI research, cloud infrastructure, and AI-powered services to gain a competitive edge.

Cloud AI Market Growth Drivers

Increasing Adoption of AI-as-a-Service (AIaaS)

Businesses are leveraging cloud AI solutions to reduce infrastructure costs and scale AI models efficiently.

Advancements in Deep Learning and NLP

Innovations in conversational AI, chatbots, and voice recognition are transforming industries like healthcare, retail, and finance.

Rising Demand for AI-Driven Automation

Organizations are adopting AI for workflow automation, predictive maintenance, and personalized customer experiences.

Expansion of 5G Networks

5G technology is enhancing the deployment of AI-driven cloud applications.

Cloud AI Market Challenges

Data Privacy and Security Concerns

Strict regulations such as GDPR and CCPA pose challenges for cloud AI implementation.

High Initial Investment

While cloud AI reduces infrastructure costs, initial investment in AI model development remains high.

Skills Gap in AI Talent

Organizations struggle to find skilled AI professionals to manage and deploy AI applications effectively.

Future Outlook

The Cloud AI Market is set to grow exponentially, with AI-driven innovation driving automation, predictive analytics, and intelligent decision-making. Emerging trends such as edge AI, federated learning, and quantum computing will further shape the industry landscape.

Conclusion

The Cloud AI Market is a rapidly evolving industry with high growth potential. As companies continue to integrate AI with cloud computing, new opportunities emerge across various sectors. Organizations must invest in cloud AI solutions, skilled talent, and robust security frameworks to stay competitive in this dynamic landscape.

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[gmax]

i had a dream about this chatbot that people were treating like a prophet or an oracle or something. i dont really recall anything it said at all but i remember talking to it distinctly felt like sitting on gentle ocean waves on a really small life boat..

[chappydev]

I don't really think they're like, as useful as people say, but there are genuine usecases I feel -- just not for the massive, public facing, plagiarism machine garbage fire ones. I don't work in enterprise, I work in game dev, so this goes off of what I have been told, but -- take a company like Oracle, for instance. Massive databases, massive codebases. People I know who work there have told me that their internally trained LLM is really good at parsing plain language questions about, say, where a function is, where a bit oif data is, etc., and outputing a legible answer. Yes, search machines can do this too, but if you've worked on massive datasets -- well, conventional search methods tend to perform rather poorly.

From people I know at Microsoft, there's an internal-use version of co-pilot weighted to favor internal MS answers that still will hallucinate, but it is also really good at explaining and parsing out code that has even the slightest of documentation, and can be good at reimplementing functions, or knowing where to call them, etc. I don't necessarily think this use of LLMs is great, but it *allegedly* works and I'm inclined to trust programmers on this subject (who are largely AI critical, at least wrt chatGPT and Midjourney etc), over "tech bros" who haven't programmed in years and are just execs.

I will say one thing that is consistent, and that I have actually witnessed myself; most working on enterprise code seem to indicate that LLMs are really good at writing boilerplate code (which isn't hard per se, bu t extremely tedious), and also really good at writing SQL queries. Which, that last one is fair. No one wants to write SQL queries.

To be clear, this isn't a defense of the "genAI" fad by any means. chatGPT is unreliable at best, and straight up making shit up at worst. Midjourney is stealing art and producing nonsense. Voice labs are undermining the rights of voice actors. But, as a programmer at least, I find the idea of how LLMs work to be quite interesting. They really are very advanced versions of old text parsers like you'd see in old games like ZORK, but instead of being tied to a prewritten lexicon, they can actually "understand" concepts.

I use "understand" in heavy quotes, but rather than being hardcoded to relate words to commands, they can connect input written in plain english (or other languages, but I'm sure it might struggle with some sufficiently different from english given that CompSci, even tech produced out of the west, is very english-centric) to concepts within a dataset and then tell you about the concepts it found in a way that's easy to parse and understand. The reason LLMs got hijacked by like, chatbots and such, is because the answers are so human-readable that, if you squint and turn your head, it almost looks like a human is talking to you.

I think that is conceptually rather interesting tech! Ofc, non LLM Machine Learning algos are also super useful and interesting - which is why I fight back against the use of the term AI. genAI is a little bit more accurate, but I like calling things what they are. AI is such an umbrella that includes things like machine learning algos that have existed for decades, and while I don't think MOST people are against those, I see people who see like, a machine learning tool from before the LLM craze (or someone using a different machine learning tool) and getting pushback as if they are doing genAI. To be clear, thats the fault of the marketing around LLMs and the tech bros pushing them, not the general public -- they were poorly educated, but on purpose by said PR lies.

Now, LLMs I think are way more limited in scope than tech CEOs want you to believe. They aren't the future of public internet searches (just look at google), or art creation, or serious research by any means. But, they're pretty good at searching large datasets (as long as there's no contradictory info), writing boilerplate functions, and SQL queries.

Honestly, if all they did was SQL queries, that'd be enough for me to be interested fuck that shit. (a little hyperbolic/sarcastic on that last part to be clear).

ur future nurse is using chapgpt to glide thru school u better take care of urself

[xillentech]

Transform Your Digital Store with Xillentech’s eCommerce Services

In today’s ultra-competitive landscape, eCommerce services are no longer optional they’re essential. Xillentech has emerged as an industry-leading eCommerce development company, offering scalable, AI-driven, and end‑to‑end eCommerce solutions that help businesses launch, optimize, and grow their online stores rapidly. Let’s explore how they empower brands large and small to thrive digitally.

1. What Are eCommerce Services?

eCommerce services encompass everything required to build, operate, and scale an online business from setting up storefronts and integrating payment gateways to implementing AI-powered personalization, inventory management, logistics, and advanced marketing tools

Key offerings:

Online store development (custom store setups via platforms like Woo Commerce, Shopify, Magento)

Marketplace solutions (multi-vendor, B2B, headless commerce)

AI-driven personalization (product recommendation systems, chatbots, predictive analytics)

Quick commerce/fast-delivery apps

ERP & cloud integration, logistics, and customer support systems

2. Why Choose Xillentech for Your eCommerce Platform?

🏢 Local Expertise, Global Reach

Founded in 2012 in Ahmedabad, Xillentech serves clients worldwide, including Reliance Digital, L’Oréal, and U.S. Global Mail. Their eCommerce agency approach blends Indian cost-efficiency with global engineering excellence.

🔍 Scalable & Future‑Proof Solutions

Xillentech ensures every solution is built to scale seamless. Whether a small business or enterprise marketplace, their AI‑powered architecture (chatbots, recommendation engines) scales with your growth, while cloud-native ERP integrations streamline operations

💡 Innovative, AI‑First Approach

Their team integrates Generative AI, smart chatbots, and data-driven personalization models to enhance user experience and conversion rates

👍 Strong Client Trust & Results

Clutch labels them a reliable partner delivering quality within budget, while Design Rush praises their attention to detail, responsiveness, and client-centricity

3. The Big Benefits of eCommerce with Xillentech at the Helm

Modern eCommerce benefits include:

🌍 24/7 Global Reach

Operate around the clock, across time zones unlock new markets without physical stores

💰 Cost‑Effectiveness & Profit Margins

Lower overhead (no rent, fewer staff) means more funds for marketing or R&D

📈 Scalability & Flexibility

Adapts to growth launch new products, add vendors, expand channels without overhauling tech.

🧠 Data‑Driven Insights

AI and analytics track customer behavior, refine inventory, and boost conversions.

🤖 Personalization & Engagement

Smart recommendation engines and AI chatbots drive up sales and satisfaction rates.

📦 Seamless Logistics & Payment

Integrated payment gateways (including UPI/COD in India), real-time inventory, tax/shipping automation reduce exits at checkout.

4. Xillentech's eCommerce Services: In‑Depth

Here’s a detailed walk-through:

🎯 Custom Store & Marketplace Development

From Shopify setups to full-scale multi-vendor marketplaces, Xillentech tailors platforms to your brand and audience.

🧩 Headless Commerce & API‑First Strategy

By decoupling front-end and back-end, clients achieve lightning-fast performance and Omni channel flexibility

🤖 AI & Chatbot Integration

Their “intelligent chatbot” solutions support 24/7 queries, proactive messaging, and enhance the user journey

💎 Product Recommendation Engines

AI models leverage browsing and purchase history to personalize the experience, improve basket value, and deepen engagement

☁️ ERP, Cloud & Logistics Integration

Seamless API-based sync with systems like SAP, Oracle, Microsoft Azure, AWS ensuring stock, shipping, and finance cohesion.

📱 Quick Commerce & Mobile‑First UX

Mobile-ready platforms for instant delivery, social commerce, and mobile shopping experiences.

5. eCommerce Strategy: The Xillentech Way

1. Discovery & Planning

Define vision, goals, platforms, monetization strategy and moat.

2. Agile Development

Iterative sprints; prototype early, test often, gather feedback.

3. AI‑Driven Enhancements

Integrate chatbots, use data to refine product recommendations, and automate messaging pipelines.

4. Omni‑Channel Launch

Deploy across web, apps, marketplaces, and social commerce touchpoints.

5. Optimization & Scale

Ongoing A/B testing, SEO, analytics, paid channels, and feature upgrades (AR/VR, mobile wallet).

6. Success Stories & Use Cases

Reliance Digital: migrated to an AI-enhanced marketplace with custom personalization and flexible vendor dashboards.

L’Oréal: implemented smart recommender systems and dynamic cross-sell algorithms to boost online basket size.

Start-ups: MVP launch with integrated ERP and chatbot leads to faster go‑to‑market and streamlined logistics.

7. Preparing to Invest in eCommerce (Tips for Businesses)

Clarify your goals: know whether you’re scaling globally, launching quick commerce, or building a niche marketplace.

Plan for integrations: choose systems (ERP, payment gateways, logistics vendors) from day one.

Start data-driven: map the user journey, set KPIs, and use analytics to inform decisions.

Prioritize AI features: small investments in chatbots and recommendation systems can yield big ROI.

Choose the right partner: go with an experienced team like Xillentech that offers both technological depth and ongoing support.

Final Thoughts

Both enterprises and entrepreneurs can dramatically accelerate growth with Xillentech’s end‑to‑end eCommerce services from custom store development and AI-powered personalization, to cloud automation, logistics, and mobile commerce strategies. Their proven track record, agile approach, and tech-first mind-set make them a standout eCommerce development agency.

If you're ready to launch, optimize, or scale your digital store, Xillentech offers a customized, AI‑driven solution tailored to your needs. Reach out today to transform your online presence into a high‑growth, future‑proof eCommerce empire.

[wat3rm370n]

The oracle of chatbot...

It's not benign.

[skyfallights]

Intelligent Virtual Assistant Market Size Poised for Exceptional Growth by 2032

The global Intelligent Virtual Assistant Market Size is expanding at an unprecedented pace as enterprises and consumers increasingly adopt voice and chatbot-based assistants. In 2023, the market size was valued at approximately USD 11.2 billion, and it is projected to reach over USD 59.8 billion by 2032, growing at a strong CAGR of 20.1% during the forecast period.

Overview

Intelligent Virtual Assistants (IVAs) use artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) to simulate human-like interactions. These assistants streamline communication, automate repetitive tasks, and enhance customer engagement across industries such as retail, healthcare, BFSI, IT, and more.

The rise in voice-first applications, smart devices, and demand for 24/7 digital support systems are key contributors to the rapidly increasing IVA market size.

Key Drivers of Market Expansion

1. Surge in Smart Device Penetration

The growing use of smart speakers, smartphones, and connected home devices is significantly boosting the deployment of virtual assistants globally.

2. Enterprise Digital Transformation

Large organizations are integrating IVAs into business workflows to improve customer service, increase employee productivity, and reduce operational costs.

3. Multilingual and Multimodal Interfaces

Support for regional languages and ability to interact through text, speech, and gesture are expanding the addressable market.

4. Healthcare Integration

Virtual health assistants are gaining popularity for patient interaction, appointment scheduling, and remote monitoring, especially post-pandemic.

Segment Analysis

By Deployment

Cloud-based IVAs dominate due to scalability and easy integration.

On-premise solutions are preferred by organizations concerned with data privacy and security.

By End-Use Industry

BFSI: Handles banking queries, account management, and financial recommendations.

Retail: Powers virtual shopping guides and personalized customer engagement.

Healthcare: Offers symptom analysis, appointment booking, and patient data tracking.

IT & Telecom: Provides L1 tech support and enhances customer onboarding.

By Interface

Voice-based assistants lead due to enhanced speech recognition.

Text-based interfaces are favored in mobile and desktop platforms.

Regional Outlook

North America: Holds the largest share due to high adoption of smart technologies and AI innovations.

Europe: Strong growth driven by language diversity and GDPR-compliant solutions.

Asia-Pacific: Fastest growing region due to mobile penetration, rising internet users, and AI investments in countries like India, China, and Japan.

Leading Companies in IVA Market

Amazon (Alexa)

Google LLC (Google Assistant)

Apple Inc. (Siri)

Microsoft Corporation (Azure Bot Services)

IBM Corporation (Watson)

Nuance Communications

Samsung Electronics (Bixby)

Oracle Corporation

These players are investing in multilingual capabilities, emotional intelligence, and advanced NLP models to maintain leadership.

Trending Report Highlights

Explore these related and localized industry insights:

Intelligent Virtual Assistant Market (Japan)

Intelligent Virtual Assistant Market (Germany)

Intelligent Virtual Assistant Market (France)

[astutebusiness]

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[hrwebsoftwa]

The Evolution of HRIS Systems: 1990–2025 Timeline

Human Resource Information Systems, commonly known as HRIS human resources platforms, have undergone a dramatic transformation over the last three decades. From the early days of database-driven record-keeping to today’s AI-powered cloud ecosystems, the timeline of HRIS evolution reflects how businesses adapt to technology to better manage their most valuable asset: people.

1990s – The Legacy Era Begins

The concept of HRIS emerged as large enterprises began digitizing payroll and basic employee data. These early systems were expensive, installed on-premises, and operated with limited computing capabilities. HR professionals could use these tools to manage pay slips, tax records, and attendance but lacked real-time insights or flexibility.

2000–2005 – The ERP Wave

As the millennium turned, HR departments saw the rise of integrated Enterprise Resource Planning (ERP) systems that included HR modules. Giants like SAP and Oracle led the way, offering centralized data control. HRIS became more accessible to medium-sized organizations, helping streamline operations like benefits administration, compliance, and performance records.

2006–2010 – Web-based HR Information Systems

The rise of the internet brought about browser-based HR software, making it easier for companies to roll out HRIS without heavy IT investments. Cloud hosting became an emerging trend, reducing dependency on internal servers and making data available remotely. Systems started offering employee self-service portals, where staff could update their profiles, view pay stubs, or request leave.

2011–2015 – The Age of SaaS HR Solutions

Software-as-a-Service (SaaS) disrupted the HR tech landscape. Companies like Workday, BambooHR, and Zoho People introduced lightweight, scalable solutions. These platforms were more user-friendly and allowed customization without deep tech know-how. Small businesses finally had cost-effective HRIS options. The focus shifted to user experience, automation, and mobile-first interfaces.

2016–2020 – Analytics, Integration, and Smart Features

This era marked a shift from operational tools to strategic enablers. HR professionals could now extract meaningful insights using built-in analytics dashboards. Systems integrated with job boards, learning management tools, and communication apps like Slack or Teams. AI made its initial mark with features like resume parsing, chatbots for recruitment, and predictive performance management.

2020–2022 – The Pandemic Reset

COVID-19 accelerated digital transformation like never before. Remote work forced companies to re-evaluate their HRIS capabilities. Cloud-native, mobile-accessible HR software became essential. Time tracking, mental wellness modules, and remote onboarding workflows were added to support hybrid teams. HR software needed to be more than functional—it had to be empathetic and adaptive.

2023–2025 – Intelligence-Driven HR

Today’s HR information systems go beyond managing records—they help design people strategies. AI and machine learning now enable talent forecasting, skill gap analysis, and engagement prediction. Tools suggest training based on role changes, predict attrition risk, and provide sentiment analysis from employee feedback. Personalization is at the heart of every experience—HRIS now empowers individuals while guiding leadership decisions.

What’s Next?

Looking ahead, HRIS systems are expected to become proactive rather than reactive. We anticipate systems that blend with wearable tech for wellness tracking, offer voice-command functions, and use generative AI to automate entire hiring workflows. Compliance and security will remain top priorities, with blockchain potentially enhancing data transparency and control.

Final Thoughts

The journey from spreadsheets to intelligent platforms tells a larger story: HR has transformed from administrative support to a strategic business driver. As technology continues to evolve, so will the expectations from HR systems. Organizations that embrace this evolution not only boost HR productivity but also create environments where people thrive.

Explore Modern HR Software

If you're planning to upgrade or implement your first HRIS system, now is the time. At HRweb, we specialize in delivering smart, cloud-powered HR software that evolves with your needs. Visit HRwebSoftware.com to see how we’re redefining modern workforce management.

[aimarketresearch]

North America Conversational AI Market Size, Share, Demand, Key Drivers, Development Trends and Competitive Outlook

Executive Summary North America Conversational AI Market :

Data Bridge Market Research analyses that the North America conversational AI market, which was USD 4.55 million in 2023, is expected to reach USD 26.82 million by 2031, at a CAGR of 24.8% during the forecast period 2024 to 2031. 

To achieve success in the competition of global market place, going for this global North America Conversational AI Market research report is the key. Besides, it presents the company profile, product specifications, production value, contact information of manufacturer and market shares for company. This market report strategically analyses the growth trends and future prospects. The report gives details about the emerging trends along with key drivers, challenges and opportunities in the  industry. Moreover, this North America Conversational AI Market report also provides strategic profiling of top players in the  industry, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.

The North America Conversational AI Market business document lists and studies the leading competitors, also gives the insights with strategic industry analysis of the key factors influencing the market dynamics. A market research analysis and estimations carried out in this North America Conversational AI Market report aids businesses in gaining knowledge about what is already there in the market, what market looks forward to, the competitive background and steps to be followed for outdoing the rivals. This is a professional and in-depth study on the current state which focuses on the major drivers and restraints of the key market players.

Discover the latest trends, growth opportunities, and strategic insights in our comprehensive North America Conversational AI Market report. Download Full Report: https://www.databridgemarketresearch.com/reports/north-america-conversational-ai-market

North America Conversational AI Market Overview

**Segments**

- Based on component, the North America Conversational AI market can be segmented into platform and services. The platform segment is expected to dominate the market due to the increasing demand for AI-powered solutions to enhance customer service and improve operational efficiency. On the other hand, the services segment is also poised for significant growth, driven by the need for consulting, integration, and maintenance services to deploy conversational AI effectively.

- In terms of deployment mode, the market can be bifurcated into cloud and on-premises. The cloud deployment mode is anticipated to witness high growth as organizations prefer the flexibility, scalability, and cost-effectiveness offered by cloud-based conversational AI solutions. However, on-premises deployment also holds a substantial share in the market, particularly among enterprises with strict data security and compliance requirements.

- On the basis of application, the North America Conversational AI market is segmented into customer support, sales and marketing, personal assistant, and others. The customer support segment is expected to lead the market, driven by the increasing adoption of AI chatbots and virtual assistants to deliver personalized support and streamline customer interactions. The sales and marketing segment is also gaining traction as companies leverage conversational AI technology to enhance lead generation and customer engagement strategies.

**Market Players**

- Some of the key players operating in the North America Conversational AI market include Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Amazon Web Services Inc., Nuance Communications, Inc., and Conversica, among others. These players are focusing on strategic partnerships, product innovations, and mergers and acquisitions to strengthen their market presence and expand their customer base in the region.

- Moreover, the competitive landscape of the market is characterized by intense rivalry among leading players, driving continuous advancements in conversational AI technology. As North America remains a key region for technological innovations and digital transformation initiatives, market players are investing significant resources in research and development to offer cutting-edge solutions that meet the evolving needs of businesses across various industries.

The North America Conversational AI market is witnessing a notable shift towards utilizing AI-powered solutions to enhance customer service and operational efficiency. As organizations increasingly seek ways to deliver personalized support and streamline interactions with customers, the demand for AI chatbots and virtual assistants is on the rise. This trend is driving the growth of the customer support segment within the market, positioning it as a key driver of market expansion. Moreover, companies are leveraging conversational AI technology in sales and marketing efforts to improve lead generation and customer engagement strategies, indicating a growing adoption rate within these key business functions.

In terms of deployment mode, cloud-based conversational AI solutions are gaining traction due to the inherent benefits of flexibility, scalability, and cost-effectiveness that cloud platforms offer. Organizations are gravitating towards cloud deployment to leverage these advantages and adapt to changing business requirements swiftly. On the other hand, on-premises deployment maintains its relevance among enterprises with stringent data security and compliance needs, highlighting the importance of offering diverse deployment options to cater to varying client preferences and security concerns.

The competitive landscape of the North America Conversational AI market showcases the dominance of key players such as Google, IBM, Microsoft, and Amazon Web Services, among others. These industry giants are actively engaged in strategic partnerships, product innovations, and acquisitions to fortify their market presence and expand their customer base across the region. The intense rivalry among leading players is fueling continuous advancements in conversational AI technology, leading to the development of cutting-edge solutions tailored to meet the evolving needs of businesses in diverse industries.

Looking ahead, the North America Conversational AI market is poised for significant growth as technological innovations and digital transformation initiatives continue to shape the business landscape. Market players are expected to ramp up their investments in research and development to deliver advanced solutions that address the complex challenges faced by businesses today. With a keen focus on enhancing customer experiences, optimizing operational workflows, and driving business growth, conversational AI is set to play a pivotal role in reshaping how organizations interact with customers and streamline their processes in the dynamic North American market.The North America Conversational AI market is experiencing a fundamental shift driven by the increasing need for AI-powered solutions to revolutionize customer service and operational efficiency. This transformation is fueled by the growing demand for personalized support and streamlined customer interactions through the adoption of AI chatbots and virtual assistants by organizations. As a result, the customer support segment is emerging as a key driver of market growth, as businesses strive to deliver tailored services and enhance customer satisfaction.

In addition to customer support, the sales and marketing segment is witnessing a surge in adoption of conversational AI technology as companies harness its capabilities to boost lead generation and enhance customer engagement strategies. By leveraging AI-driven solutions, organizations can improve their overall sales processes, marketing campaigns, and customer interactions, thereby driving revenue growth and market competitiveness. This trend underscores the growing importance of conversational AI across different business functions and its ability to drive tangible business outcomes.

Furthermore, the deployment modes in the North America Conversational AI market reflect a dual emphasis on cloud-based solutions and on-premises deployments. While cloud deployment offers advantages in terms of flexibility, scalability, and cost-effectiveness, on-premises deployment remains relevant for enterprises with stringent security and compliance requirements. This diversity in deployment options highlights the importance of providing customizable solutions that cater to the specific needs and preferences of different organizations, ensuring a comprehensive approach to meeting clients' varying demands.

The competitive landscape of the market is dominated by key players such as Google, IBM, Microsoft, and Amazon Web Services, who are actively engaging in strategic initiatives to solidify their market positions and expand their customer base. Through partnerships, product innovations, and acquisitions, these industry leaders are driving advancements in conversational AI technology, leading to the development of cutting-edge solutions tailored to address the evolving needs of businesses across diverse industries. This competitive environment underscores the dynamic nature of the market and the continuous quest for innovation to stay ahead in the rapidly evolving digital landscape.

Looking forward, the North America Conversational AI market is poised for substantial growth as organizations increasingly recognize the value of AI-driven solutions in enhancing customer experiences, optimizing operational workflows, and driving business growth. With a focus on research and development, market players are expected to introduce advanced conversational AI solutions that address complex business challenges and pave the way for elevated levels of customer interaction and operational efficiency. The trajectory of the market indicates a promising future where conversational AI will play a pivotal role in reshaping the business landscape and fostering sustainable growth across various sectors in North America.

The North America Conversational AI Market is highly fragmented, featuring intense competition among both global and regional players striving for market share. To explore how global trends are shaping the future of the top 10 companies in the keyword market.

Learn More Now: https://www.databridgemarketresearch.com/reports/north-america-conversational-ai-market/companies

DBMR Nucleus: Powering Insights, Strategy & Growth

DBMR Nucleus is a dynamic, AI-powered business intelligence platform designed to revolutionize the way organizations access and interpret market data. Developed by Data Bridge Market Research, Nucleus integrates cutting-edge analytics with intuitive dashboards to deliver real-time insights across industries. From tracking market trends and competitive landscapes to uncovering growth opportunities, the platform enables strategic decision-making backed by data-driven evidence. Whether you're a startup or an enterprise, DBMR Nucleus equips you with the tools to stay ahead of the curve and fuel long-term success.

Key Influence of this Market:

Comprehensive assessment of all opportunities and risk in this North America Conversational AI Market

This Market recent innovations and major events

Detailed study of business strategies for growth of the this Market-leading players

Conclusive study about the growth plot of the North America Conversational AI Market for forthcoming years

In-depth understanding of this North America Conversational AI Market particular drivers, constraints and major micro markets

Favourable impression inside vital technological and market latest trends striking this Market

To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, and Rest of the World (ROW)

To provide country level analysis of the market with respect to the current market size and future prospective

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About Data Bridge Market Research:

An absolute way to forecast what the future holds is to comprehend the trend today!

Data Bridge Market Research set forth itself as an unconventional and neoteric market research and consulting firm with an unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data Bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.

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Tag:- North America Conversational AI, North America Conversational AI Size, North America Conversational AI Share, North America Conversational AI Growth

[nihararay]

Core Banking System (CBS): Meaning, Working, and Its Importance in Modern Banking

In today’s fast-moving digital economy, customers expect banking to be available anytime, anywhere — whether through a mobile app, ATM, or physical branch. Behind this seamless experience lies a powerful technology called the Core Banking System (CBS). In this blog, we’ll explore what CBS is, how it works, and why it’s the backbone of the banking industry.

What is a Core Banking System?

A Core Banking System (CBS) is a centralized platform used by banks to manage and process all banking operations — such as deposits, loans, transactions, and customer information — in real time across all branches.

CBS stands for Centralized Online Real-time Exchange, enabling customers to access their accounts and perform transactions from any branch or digital channel, not just the one where the account was opened.

 How Does CBS Work?

CBS connects various service channels like:

Bank branches

ATMs

Mobile banking apps

Internet banking portals

UPI and IMPS systems

When a customer initiates any request — like transferring funds or checking balance — the CBS immediately validates and processes it, updates the central database, and sends the response back in real time.

Key Features of a Core Banking System

Centralized Database All customer and transaction data is stored in a single, secure database accessible across branches.

Real-Time Processing Transactions are updated instantly, ensuring accurate and up-to-date account information.

Multi-Channel Access Supports various banking channels like mobile, internet, ATM, IVR, and in-branch systems.

Automated Operations Routine banking tasks such as interest calculation, EMI tracking, and report generation are automated.

Regulatory Compliance Built-in tools for RBI reporting, audit logs, and integration with government portals like UIDAI, GSTIN, and CRILC.

Importance of CBS in Banking

Anywhere Banking Customers can access banking services from any branch or digital platform — creating a unified experience.

Improved Customer Service With real-time access to data, banks can offer faster and more accurate services.

Cost Efficiency Reduces operational cost by automating tasks and eliminating data duplication.

Scalability Banks can easily expand services, launch new products, or open new branches without major infrastructure changes.

Enhanced Security CBS platforms offer encrypted transactions, access control, fraud detection, and disaster recovery mechanisms.

Popular Core Banking Software Providers in India

CBS Provider

Banks Using It

Finacle (Infosys)

SBI, Canara Bank, Union Bank

TCS BaNCS

HDFC Bank, Bank of India

Oracle Flexcube

Axis Bank, Kotak Mahindra Bank

Temenos

Global fintechs and digital banks

InfrasoftTech

NBFCs, Co-operative Banks

These providers offer powerful features like cloud-based CBS, API integration, mobile-first interfaces, and AI-powered automation.

CBS and Digital Banking

Modern CBS platforms are now:

Cloud-native for scalability and cost reduction

API-driven for fintech integrations (like UPI, Bharat BillPay, and credit bureaus)

Modular and microservice-based, allowing faster innovation

Compatible with AI, ML, and analytics for personalized banking and fraud prevention

The Future of Core Banking Systems

With evolving customer expectations, CBS is transforming into a smarter and more agile system. Some trends shaping the future include:

AI-powered decision-making for loans and credit scoring

Blockchain-based ledger systems for transparency

Open banking APIs for better third-party integrations

Voice and chatbot banking for customer support

Instant onboarding and KYC using Aadhaar and PAN APIs

Conclusion:

The Core Banking System is the technological core of every modern bank. It not only powers day-to-day operations but also enables innovation, compliance, and customer satisfaction. As digital banking continues to grow, a flexible and future-ready CBS will be the key differentiator for banks and NBFCs alike.

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