#scope for ai

[cybtekk]

Software developers with AI & ML skills have a wide range of career opportunities which gives a promising growth too. With the evolution of technology, the demand for professionals in this field will remain strong.

[pharawee]

As for Bangkok Boy ep 2, I think I liked it even better than the first ep - precisely because it was still all backstory and zero romance (essentially because the leads still haven't met but that seems to finally change next week and oh boy, Sun looks smitten already).

I think ultimately I like BLs best when the romance seems almost accidental, and ends up not as the body of the story but instead as its heart.

Is the story cheesy and overdramatic and overdone? Sure. But I think that's the whole point. And ultimately, the beauty of Thai BL becoming more mainstream (or, as all the advertising and funding proves, indeed more of a soft power) is that there's enough room for there to be core romance along with other genres where the BL element is just another puzzle piece of the narrative.

Plus, if gagaoolala puts something in their BL/Yaoi bracket then that's all the confirmation I need. It didn't bother me with Shadow and it doesn't bother me now.

That being said, I need to know if Kawin (aka Top Piyawat's character) is ok in prison. Is he eating elright? Is his hair still all soft and shiny? 🙏

[littleeyesofpallas]

maybe the funniest and most telling/damning thing about the whole forced AI art horseshit is that of all the actual artists who might sensibly stand to benefit from it, or otherwise end up on the wrong side of this argument, the guys out there churning out boring unimaginative porn at a breakneck pace haven't adopted AI at all...

The guys who aren't particularly good artists. Don't have any unique artistic vision they're achieving or putting out into the world. The guys that live and die by their twitter post count. Churning out the same 3 poses and the same 1 bodytype with just a rotating assortment of topically popular cartoon/videogame characters... Those guys.

Not only did they not make the jump to AI generated porn. They didn't even incorporate AI into their workflow. Like, while I would not have been surprised if some of these guys had absolutely zero artistic integrity and put down their pen/stylus entirely, I also would have at least expected a good chunk of them to fall somewhere in the middle on this issue and embrace using AI to render their handdrawn lineart and increase the speed at which they produce their low quality art. Especially the ones who already have so much crap that they actually could train an AI learnset on their own work.

Yet such a hypothetical guy just straight up doesn't exist somehow. It's incredibly telling that the people verymuch at the bottom of the totempole of the artistic community at large don't seem to see any use for AI art.

[matthesoundless]

I made all of the fish catchable in Toontown into my OCs- ^v^

[livef1sh]

//also hang on why is octo expansion literally just portal for fish

[sleepy-jei]

the thing about AI industry is to actually solve problems instead of creating solutions to problems that don't exist, you have to care about the domain, really dig deep into the domain and specialize. But the whole selling point of AI is that it's a black box, that you don't have to understand your data to get predictions (lol), so a lot of the people in the industry don't want to go into the domain they're in and then get confused why they cannot find problems to solve.

[wispstalk]

tags from my notifs re: a post I reblogged. I don't want to pick on anyone in particular but this idea of "killing AI" is a common sentiment here and it's just so detached from reality.

AI is already weaponized in the literal sense. US-based companies are begging for regulation--weird, right? Corporations hate that shit. But regulation positions them well to acquire government contracts.

It's more useful to think of image generators and chat tools as a consumer-grade toy, like the $40 drones you can buy on Amazon: the fact that we have access to them means that it's wayyyy too late to even entertain the idea of "killing" the tech. And even if you're hellbent on the idea, the way to get there is not through cheering on corporations as they forge a path to sue us all for unauthorized blorboposting!

[anakinh]

every year i read sustainability reports for my job and it's always depressing. this year it's even more depressing b/c the reports are obsessed with AI. "We're using AI software to reduce energy consumption at our offices :)" what? shut the fuck up. this is why we need to report upstream emissions

anyway sustainability reports are pure greenwashing and the worst part of all this? they're all better than my company's sustainability reports. Their ESG targets? better. Their decarbonization initiatives? Better. Their greenhouse gas accounting? Much better. Their benefits? So much better. It's infuriating. Like I know these reports are propaganda but so is my company's report. Our propaganda can't hold a fucking candle to theirs. And I have to read it for work

[cybersecurityict]

AI Voice Cloning Market Size, Share, Analysis, Forecast, Growth 2032: Ethical and Regulatory Considerations

The AI Voice Cloning Market was valued at USD 1.9 Billion in 2023 and is expected to reach USD 15.7 Billion by 2032, growing at a CAGR of 26.74% from 2024-2032.

AI Voice Cloning Market is rapidly reshaping the global communication and media landscape, unlocking new levels of personalization, automation, and accessibility. With breakthroughs in deep learning and neural networks, businesses across industries—from entertainment to customer service—are leveraging synthetic voice technologies to enhance user engagement and reduce operational costs. The adoption of AI voice cloning is not just a technological leap but a strategic asset in redefining how brands communicate with consumers in real time.

AI Voice Cloning Market is gaining momentum as ethical concerns and regulatory standards gradually align with its growing adoption. Innovations in zero-shot learning and multilingual voice synthesis are pushing the boundaries of what’s possible, allowing voice clones to closely mimic tone, emotion, and linguistic nuances. As industries continue to explore voice-first strategies, AI-generated speech is transitioning from novelty to necessity, providing solutions for content localization, virtual assistants, and interactive media experiences.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/5923 

Market Keyplayers:

Amazon Web Services (AWS) – Amazon Polly

Google – Google Cloud Text-to-Speech

Microsoft – Azure AI Speech

IBM – Watson Text to Speech

Meta (Facebook AI) – Voicebox

NVIDIA – Riva Speech AI

OpenAI – Voice Engine

Sonantic (Acquired by Spotify) – Sonantic Voice

iSpeech – iSpeech TTS

Resemble AI – Resemble Voice Cloning

ElevenLabs – Eleven Multilingual AI Voices

Veritone – Veritone Voice

Descript – Overdub

Cepstral – Cepstral Voices

Acapela Group – Acapela TTS Voices

Market Analysis The AI Voice Cloning Market is undergoing rapid evolution, driven by increasing demand for hyper-realistic voice interfaces, expansion of virtual content, and the proliferation of voice-enabled devices. Enterprises are investing heavily in AI-driven speech synthesis tools to offer scalable and cost-effective communication alternatives. Competitive dynamics are intensifying as startups and tech giants alike race to refine voice cloning capabilities, with a strong focus on realism, latency reduction, and ethical deployment. Use cases are expanding beyond consumer applications to include accessibility tools, personalized learning, digital storytelling, and more.

Market Trends

Growing integration of AI voice cloning in personalized marketing and customer service

Emergence of ethical voice synthesis standards to counter misuse and deepfake threats

Advancements in zero-shot and few-shot voice learning models for broader user adaptation

Use of cloned voices in gaming, film dubbing, and audiobook narration

Rise in demand for voice-enabled assistants and AI-driven content creators

Expanding language capabilities and emotional expressiveness in cloned speech

Shift toward decentralized voice datasets to ensure privacy and consent compliance

AI voice cloning supporting accessibility features for visually impaired users

Market Scope The scope of the AI Voice Cloning Market spans a broad array of applications across entertainment, healthcare, education, e-commerce, media production, and enterprise communication. Its versatility enables brands to deliver authentic voice experiences at scale while preserving the unique voice identity of individuals and characters. The market encompasses software platforms, APIs, SDKs, and fully integrated solutions tailored for developers, content creators, and corporations. Regional growth is being driven by widespread digital transformation and increased language localization demands in emerging markets.

Market Forecast Over the coming years, the AI Voice Cloning Market is expected to experience exponential growth fueled by innovations in neural speech synthesis and rising enterprise adoption. Enhanced computing power, real-time processing, and cloud-based voice generation will enable rapid deployment across digital platforms. As regulatory frameworks mature, ethical voice cloning will become a cornerstone in brand communication and media personalization. The future holds significant potential for AI-generated voices to become indistinguishable from human ones, ushering in new possibilities for immersive and interactive user experiences across sectors.

Access Complete Report: https://www.snsinsider.com/reports/ai-voice-cloning-market-5923 

Conclusion AI voice cloning is no longer a futuristic concept—it's today’s reality, powering a silent revolution in digital interaction. As it continues to mature, it promises to transform not just how we hear technology but how we relate to it. Organizations embracing this innovation will stand at the forefront of a new era of voice-centric engagement, where authenticity, scalability, and creativity converge. The AI Voice Cloning Market is not just evolving—it’s amplifying the voice of the future.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[krmangalam1011]

Study B.Tech. in Artificial Intelligence and Machine Learning in 2025

Are you extremely fascinated with the latest advancements in technology? Do you wish to pursue a spectacular career which elevates your career graph in one go? If Yes, then it’s time to pursue a B.Tech. in Artificial Intelligence and Machine Learning from K.R. Mangalam University which is one of the most sought-after programmes in today’s generation. 

Designed in collaboration with top experts from IBM, this course also offers constant mentorship to the students. Moving forward, in this blog we will talk about the major aspects related to this course which include its core highlights, eligibility criteria, fees and the overall programme structure. 

B.Tech. in Artificial Intelligence and Machine Learning Course Highlights 

A highly intellectual course which is curated in collaboration with leading professionals from IBM. Upon enrolling for this course, you will learn to develop advanced computer applications arising in the field of AI & ML. Moreover, students also get hands-on experience through internships, paid international visits, conferences and seminars. Eventually, all these aspects prepare the students for an impactful career in the data-driven industries. Here’s a quick snapshot of the course.  

Course Name 

B.Tech. CSE (AI & ML) with academic support of IBM & powered by Microsoft Certifications

Course Type: 

Undergraduate 

Duration: 

4 Years 

Study Mode:

Full-Time 

Programme Fee Per Year:

Rs 2,65,000/-  (as of 25th March 2025) 

Admission Process:

Written Test + Personal Interview 

Top Recruiters: 

Amazon, Flipkart, Google, OLA, KPMG, Cure Fit 

B.Tech. in Artificial Intelligence and Machine Learning Eligibility Criteria

To enrol for this course at KRMU, you must meet the necessary eligibility requirements asserted by the university. The general criteria are as follows: 

A candidate must have cleared the 10+2 examination with Physics and Mathematics as compulsory subjects.

For the remaining course, choose from Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship from a recognised board/university with a minimum 50% aggregate overall. 

B.Tech. in Machine Learning and Artificial Intelligence Subjects

At KRMU, we majorly focus on teaching the students about the basics of computational mathematics, and fundamental aspects of computer science along with modern developments taking place in AI and machine learning. In clear terms, the B.Tech. in AI and ML course is a highly informative programme which consists of 8 different semesters and is taught by expert professionals. Here’s a general overview of the artificial intelligence course syllabus for your reference. 

Linear Algebra and Ordinary Differential Equations

Object Oriented Programming using C++

Engineering Calculus

Clean Coding with Python

Engineering Drawing & Workshop Lab

Data Visualization using PowerBI

Discrete Mathematics

Data Structures

Java Programming

Probabilistic Modelling and Reasoning with Python Lab

Theory of Computation

Operating Systems

Natural Language Processing

Arithmetic and Reasoning Skills

Computer Organization & Architecture

Neural Networks and Deep Learning

Career Scope After B.Tech. in Artificial Intelligence & Machine Learning

The foremost benefit of pursuing a B.Tech. in Artificial Intelligence and Machine Learning course is that you have a plethora of career options available in different industries ranging from e-commerce, food, travel, automation etc. Top career options are: 

Machine Learning Engineer/Developer

AI Research Scientist

Data Scientist

Machine Learning Operations (MLOps) Engineer

AI/ML Software Developer

AI Product Manager

AI Ethics Consultant

Data Engineer

AI/ML Consultant

Research Analyst

Conclusion

B.Tech. in Artificial Intelligence and Machine Learning is a perfect programme for you if you’re keen on experimenting and developing unique computer applications. Pursue this course from K.R. Mangalam University and get access to highly sophisticated laboratories with the latest technologies. So what are you waiting for? Choose to enrol today and drive high towards the in-demand career opportunities. 

Frequently Asked Questions 

What is the average salary after B.Tech. in Artificial Intelligence and Machine Learning programme?

After completing this popular programme, students are expected to secure a whopping package ranging in between 6-10 LPA. 

What is the future scope of B.Tech. in AI & ML?

This programme holds an impactful future. Students are loaded with diversified career opportunities in multiple sectors. 

What can I pursue after B.Tech. in Artificial Intelligence?

You can pursue an M.Tech in AI & ML or an MBA after completing your graduation. 

[differenttimemachinecrusade]

AI-Enabled Global Capability Center (GCC) Market Size, Share, Scope, Analysis, Forecast, Growth and Industry Report 2032 – Strategic Outlook

The AI-Enabled Global Capability Center (GCC) Market size was valued at USD 32.78 billion in 2023 and estimated at  USD 211.08 billion in 2032, and grow at a CAGR is 21.03% for 2024-2032.

The AI-Enabled Global Capability Center (GCC) market is witnessing a dynamic transformation. Driven by automation, data intelligence, and digital-first strategies, GCCs are evolving from support hubs to innovation engines. This shift is accelerating their role in delivering global business value and driving enterprise-wide transformation.

The AI-Enabled Global Capability Center (GCC) Market continues to grow as enterprises seek to centralize and scale operations efficiently while adopting artificial intelligence to boost productivity. GCCs, traditionally known for cost arbitrage and back-office functions, are now at the forefront of innovation, enabling digital transformation, advanced analytics, and strategic decision-making across global organizations.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/4722 

Market Keyplayers:

Accenture (AI Consulting Services)

Tata Consultancy Services (TCS) (TCS Cognix)

Wipro (Wipro HOLMES)

Infosys (Infosys Nia)

Cognizant (Cognizant AI)

IBM (IBM Watson)

Deloitte (Deloitte AI Services)

Capgemini (Capgemini AI Solutions)

Tech Mahindra (Tech Mahindra AI)

HCL Technologies (HCL AI Services)

Genpact (Genpact AI Solutions)

LTI (Larsen & Toubro Infotech) (LTI Mindtree AI)

Zensar Technologies (Zensar AI)

Mphasis (Mphasis Digital Risk)

NTT Data (NTT Data AI Solutions)

Cimpress (Cimpress AI)

Syntel (Syntel AI Solutions)

Zebra Technologies (Zebra AI Solutions)

C3.ai (C3 AI Suite)

Qualcomm (Qualcomm AI Engine)

Trends Shaping the Market

Several key trends are driving the evolution of AI-enabled GCCs across industries and regions:

Shift from Cost Centers to Value Creators: Modern GCCs are contributing directly to business growth by developing AI-based solutions, driving R&D, and supporting enterprise innovation.

Rise of Intelligent Automation: AI-powered automation is enabling GCCs to streamline repetitive processes, enhance accuracy, and reduce operational inefficiencies.

Focus on Digital Talent and Capability Building: Companies are upskilling their GCC workforce with AI, data science, and cloud capabilities to meet digital transformation goals.

Decentralized but Connected Models: Many enterprises are adopting hybrid GCC models, leveraging cloud and AI tools to operate seamlessly across borders while maintaining centralized control.

Enquiry of This Report: https://www.snsinsider.com/enquiry/4722 

Market Segmentation:

By Service Type:

Information Technology (IT) Services

Business Process Management (BPM)

Knowledge Process Outsourcing (KPO)

Engineering and R&D Services

By Industry Vertical:

Banking, Financial Services, and Insurance (BFSI)

Healthcare and Life Sciences

Retail and Consumer Goods

Manufacturing and Automotive

Telecom & IT

By Organization Size:

Large Enterprises 

Small and Medium Enterprises (SMEs)

Market Analysis

The AI-Enabled GCC Market is expected to expand steadily as enterprises prioritize digital transformation and AI integration. Key insights include:

Asia-Pacific Leadership: India, the Philippines, and Eastern Europe remain top destinations due to tech talent availability and maturing digital infrastructure.

Increased Investment: Multinational corporations are expanding their AI-focused GCCs with investments in cloud, data analytics, and intelligent automation platforms.

Strategic Partnerships: Collaborations with academic institutions, AI startups, and tech vendors are helping GCCs stay competitive and future-ready.

Future Prospects

The future of the AI-enabled GCC market looks promising, with multiple drivers set to influence long-term growth:

AI-First Operating Models: GCCs will increasingly adopt AI-first frameworks, integrating machine learning, NLP, and cognitive computing into business processes.

Expansion into Tier 2 Cities: To tap into new talent pools and manage operational costs, companies will establish GCCs in emerging locations across Asia, Latin America, and Eastern Europe.

Innovation Hubs and Centers of Excellence (CoEs): Future GCCs will act as strategic innovation hubs, leading enterprise-wide initiatives in AI, automation, cybersecurity, and digital experience.

Greater Boardroom Visibility: GCCs will evolve into strategic partners for CEOs and CTOs, contributing to digital strategy and enterprise agility at the highest levels.

Access Complete Report: https://www.snsinsider.com/reports/ai-enabled-global-capability-center-market-4722 

Conclusion

The AI-Enabled Global Capability Center Market is rapidly transforming from a support-focused model to a strategic, innovation-led engine of enterprise value. With AI, cloud computing, and automation at the core, GCCs are playing a vital role in helping organizations become more resilient, data-driven, and future-ready.

As global businesses continue to navigate complex digital landscapes, AI-enabled GCCs will be instrumental in shaping smarter, faster, and more scalable operations. Enterprises that embrace this shift stand to unlock significant advantages in speed, efficiency, and innovation.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Contact Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

[daveinediting]

So, start of the week I'm on a phone call with an executive producer talking about AI and field production.

That's really what this is about.

Because while it's true I crafted a video using as much AI as I could, the downside of working this way is obvious: lack of spontaneity, lack of human connection. 

Oh sure I can dazzle with unparalleled beauty. I can make everything just so. But if I'm making everything this way from front to back, top to bottom... I'm not actually making something better than what I made before. Which is what I'm after: making something better than I've made before. And it can't be better if everything is just so. It can be faster. It can cost less. But it can't meet the bar we set and raise it.

That much is crystal clear.

What's also crystal clear is how powerful are AI tools in the context of our existing toolkit of drones, HDcams, Sony Alphas, gopros, and iPhones.

Even without AI we can capture a lot of footage on the run at the same time. So what I'm looking at is where AI augments what we're doing.

For example, the AI Venice video contains more sunset shots than would normally be captured during a standard shoot. There's a diversity of geographic locations that normally can't happen given the 60 to 90 minutes of golden hour available to a production crew provided that golden hour actually happens while the crew is there. Using a variety of sunset photographs gives us that diversity while the production can then focus on something other than basic (although obviously breathtaking) coverage. 

The "falling in love" shot illustrates another advantage. Even though you can't throw a rock in Venice without hitting someone who's in love... what if that wasn't so? What if the field footage came back without such a shot?

Well, we can definitely manufacture one... is what I discovered. I can even give it a sunset vibe for some extra romance.

Moving beyond sunsets and romance, the video also reveals a fast way to achieve a greater variety of drone shots provided the coverage doesn't need to include anything from directly above. 

Going up the side of a basilica to its roofline?

Totally doable. 

For only the cost of a photograph.

If we want, we can capture more "drone" footage on the fly without having to deploy and pilot actual drones.

Definitely a time savings.

So augment... is what I'm thinking. For example I would never replace shooting a gondola sequence with alphas, go pros, and drones. I would never replace that effort for what I've done with AI tools. Beautiful as that work is, it lacks spontaneity and human interaction, genuine human moments. What I would do is use AI tools to make it look like we covered more canal than we did. More locations than we visited. More experiences, even at a distance.

We can create sequences that are broader, larger in scope if we wish. We can definitely commit more production time to human moments. We can definitely make more room to capture those moments by covering static locations with a preponderance of photographs transformed into moving imagery.

Static locations?

Sure. Think museums. Think cathedrals. Where most of what's important to the narrative isn't. moving.

Anyway...

There's definitely Tetris-ing of production camera time to consider. A producer's challenge if ever there was one. There's definitely strategic scheduling to implement in order to maximize human moments, capture beautiful and static subjects, and make good on the experiences we're trying to share in the time we have to capture... and share it.

Strategy is what I'm thinking. Bang for our buck is how I'm leaning. Figuring out how and where these new tools fit in order to help us do the best work we're capable of doing.

Better work than we've ever done.

That also manages to impress the hell out of us.

😁🤯☺️

[tagnoob]

Why is Niantic Selling Pokemon Go? To Jump on the AI Bandwagon of Course!

It slipped out last week that Niantic was in talks to sell their one and only massive success as a company to Scopely, who runs titles like Marvel Strike Force and Star Trek Fleet Command.  Players were immediately concerned about what impact that might have on Pokemon Go, as though one exploitive publisher would be more than a degree or two different from another. Pokemon Gone! It isn’t as…

[education-and-certification]

The Future of Coding: Generative AI in Software Development

Generative AI and large language models (LLMs) are not entirely novel technologies, but their significance became widely recognized with the introduction of ChatGPT by OpenAI.

The remarkably human-like capabilities of ChatGPT captivated the public’s interest, sparking discussions about concerns such as the potential for misinformation, biases, and the conceivable replacement of human roles, including that of software developers. Here, Generative AI software development certification brings new revolutions for engineers.

[sageuniversitybpl]

The world is rapidly transitioning into a digital-first environment, and technology plays a vital role in shaping the future of Artificial Intelligence (AI), often referred to as the frontier of modern technology, which is revolutionizing industries across the globe. Pursuing a B.Tech CSE (Hons) Artificial Intelligence offers the student a deep understanding of all the AI technologies, programming languages, how they are programmed through algorithms, and how they integrate with computer science.