#digitalization and artificial intelligence

[voyant-du-vide]

What a lukewarm take.

1. Is academia destroyed? Idk man, I’m deep in academia right now, getting my mfa in fiction writing and also learning how to teach first year rhetoric and composition classes. I’m writing a paper on AI in college writing classes. There’s an internal discourse war going on at my university because they instituted an official chatgpt tool. Academia is alive and fucking well and doing what it always does: making money and arguing internally. In my corner of academia, the fascists defunding us are a way more immediate threat than AI.

2. People have been cheating their way through college for ages. That’s not new.

3. You saw “I spend so much time on TikTok that my eyes hurt” and you thought the problem was the AI? I’m not even trying to direct the blame onto TikTok or the individual student. This is systemic. What is pushing SO MANY students to dissociate into their phones? Could it be the total fucking chaos bullshitstorm we’re all trapped in? And you want them to write a boring-ass summary of your boring-ass assigned readings? When their new best friend Chat can do that for them without you even noticing? Lol. Lmao even. They’re human adolescents. If you want to teach robots who will listen to you with eagerness and produce neat little summaries for you no matter what you give them, go train AI. That’s paying pretty well these days.

4. There are ways to AI-proof classes, and it’s not by saying “No AI” or using AI detectors. It’s by Engaging Your Students! Make it personal. Have them write the stories only they can tell. Let them learn how to write by telling you all about their undying love of Keyboard Customization or Anime Conventions or Brazil. Make the assignments worth their time and things they will want to do.

5. This will be the most radical thing I have to say, but AI can actually be used to build critical thinking skills. Teach them to question it. You should be teaching them to question what they’re reading! Here’s a tool you can trust to be untrustworthy. Use that. Show them the danger in not questioning, from failing an assignment to electing a fascist. Question it to its “face” and see if it learns. Ask your students to think about how it learns. Ask them to think about how they learn. There has been a HUGE body of writing produced on this subject just in the last 2 or 3 years. If you can’t think of how to teach in an AI age, that is 100% a you problem.

Academia is fine. Professors have been out of touch for too long. AI is just making that more apparent.

Generative AI has destroyed academia.

In the next few decades we’re going to have thousands of people who don’t really know anything, and can’t do any critical thinking.

[hanavbara]

support HUMAN artists, not AI‼️

AI generated images are NOT art. art is CREATED, not GENERATED.

this is not just about taking jobs from artists (which is already a huge deal), it’s also about devaluing art itself, turning it into mass-produced, empty and soulless content. it’s heartbreaking to see AI stealing from real artists: from Studio Ghibli to smaller creators like us.

personally, we started our art journey by reinterpreting what we love: music, TV series, anime and transforming it into our vision inspired by the 90’s anime that we grew up with. when we create our illustrations, we try to capture the emotion and love we feel for the subject, aiming to tell a story with each drawing. ever since AI was created, we have had many people asking if our art is AI generated. honestly, it’s heartbreaking every single time. for us, art is a deeply human experience that we’ve been dedicating ourselves to for seven years. creating from nothing takes dedication, skill, and an emotional investment that, in our opinion, AI simply can’t capture.

you’ve probably seen your feed flooded with AI generated images in a “Studio Ghibli style”. trends like these reinforce the idea that art can be easily replicated and devalued. the future of artists is more uncertain than ever. we don’t know if in a few years we’ll still be able to make a living from this, since many companies are adopting the mindset of “why should i pay someone for their well-earned work when a machine can do it for free in an instant?” that mindset is the real problem: the way society is starting to perceive art.

art is essential to human life. many people realized this during the pandemic: what would we do without music, movies, books, that bring us comfort? art is more than just the final product. it’s about the process, struggles, and personal growth that comes with it. when you create, you grow, learn, and challenge yourself. AI erases that, replacing it with instant and shallow replication. real art brings people together, evoking emotions and reminding us of what it means to be human.

relying on AI to make art isn’t innovation, it’s avoiding the challenge of creating something meaningful. AI tools like these are being pushed as "the future," but what does that say about us? replacing human artistry with shallow, mass-produced content takes away humanity from art, do we really want to be part of a world where art is just another disposable product? what value do we place on creativity?

if you’ve made it this far, it means you care about these issues. let’s raise our voices together and speak up. don’t consume AI generated images. value and respect creativity. SUPPORT REAL HUMAN ARTISTS.

[sami--onley]

I'm tired of sharing news with you on Tumblr. Every day I mention some people, some of them answer and some of them don't, but will you help me today by sharing the post with the largest number of people who die every day in Gaza and need your donations?

Please share my friend 🩶🩶

[vbeyonddigital23]

4 Use cases of automation and digitization 

In this digital age, automation and digitization are essential for businesses of all sizes. In this blog, we look at four ways your company can benefit from automation and digitization, from reducing costs to improving customer experiences.

The term ‘Digital Transformation’ and its real-world significance have expanded in this new decade of the 21st century, as a force driving the next phase of modernization in information technologies and systems. From keeping up with increasing digital adoption among consumers to ensuring business continuity in the face of global events like the COVID-19 pandemic, the need for adopting the latest enterprise technologies has become mandatory rather than a choice.  According to IDC, global spending on digital transformation technologies and services is projected to reach $2.3 trillion by 2023. At the same time, the enterprise software segment is expected to clock $243.30 billion in revenues in 2022, marking an increased demand for digital and Software-as-a-Service (SaaS) platforms to fast-track digitalization.  Artificial Intelligence (AI) and Machine learning (ML) have advanced rapidly over the last few years, creating new opportunities to use them for business efficiency through automation and analytics. This new wave of digital transformation is all about analyzing the current level of maturity and enhancing systems further to leverage automation for various use cases. For this, understanding the changing roles of AI in digital transformation is the best way to gauge your automation needs and find the right way forward.

AI is a key driver of digitization and automation

At the core, digitization and digitalization are all about how information is shared, interpreted, and applied by businesses in their processes and decision-making. And artificial intelligence is one of the biggest driving forces of digital transformation. AI does much more than performing simple, repeatable tasks, and can also aid in building a self-governing and updating digital infrastructure with machine learning, handling day-to-day data classification and management, and helping in creating a robust automation system that connects processes and makes them autonomous. From creating a smart data analytics platform to designing an automated business process architecture, AI has evolved by leaps and bounds in terms of what it can achieve. The application of AI in workplace automation shows tremendous promise with the ability to carry out not only in-office processes but also industrial operations. Let’s look at some key business areas where AI offers deep automation capabilities to help enterprises build scalable, intelligent workflows.

AI and process digitalization: 4 popular use cases

1. Retail and Supply Chain Management Automation in retail and supply chain management is a real game-changer for organizations. It’s one of the areas where robotic process automation (RPA) and business process automation (BPA) can be used most effectively because of the repetitive, and scalable nature of work. Not only does it help with reducing overhead costs but also improves the quality of supply chain operation while reducing errors. From managing inventory to tracking the shipment until it reaches the final consumer, automation can be incorporated at each step to streamline workflows and make them trackable for all teams involved.

Today, organizations are using supply chain automation to find innovative solutions to issues related to managing order processing, inventory, shipping and logistics, and post-sale customer service. With regards to process automation in daily operations, AI can carry out a variety of manual data input, transfer, recording, and presentation tasks with utmost efficiency, freeing up human resources who only need to ratify these processes and take decisions.

Activities like order fulfillment, product shipment, and maintaining taxation and delivery records can be automated to save logistics costs and time-consuming tasks. For instance, with third-party logistics, automated shipping technology helps businesses find the most efficient route for product shipping.

2. Business Analytics The modern data-driven business environment demands fast and deep business insights that are not possible for humans to interpret. Using advanced AI and ML systems to support data analytics adds significant value to overall processes, and enables more effective strategies and execution of the same.

The key role of automated data analytics is to simplify and speed insight generation and presentation for the end user, be it an operations executive or a senior leader/decision-maker. Using the natural language generation program, the augmented data analytics system provides easy-to-understand insights that can be accessed by anyone within the organization.

Maintaining transparency in AI is still a major concern in data analytics automation. Tech experts recommend following strict security compliance with data analytics automation to maintain the integrity and security of the data. Here, cloud and DevOps offer an effective way to build agile systems that can be developed, improved, and deployed for better outcomes.

3. Customer Service The global pandemic forced businesses to reinvent their approach to customer service due to restrictions on physical proximity, and communicate with customers by any means necessary. For traditional B2C brands, the transition from brick and mortar to selling online meant they also needed to engage with them digitally to resolve issues and offer pre- and post-sale support. AI technologies like chatbots, enabled by machine learning and natural language processing (NLP) played a huge role in making customer interactions more engaging, efficient, and effective. Furthermore, brands that integrate AI with their lead tracking or customer relationship management (CRM) platforms can better analyze lead and customer data to determine how their sales teams or customer success teams should communicate with a lead or customer. They can also use data and analytics more effectively to anticipate customer demands, suggest products or relevant information on products they have purchased, and drive unique, targeted campaigns using email and social media.

4. Human Resource Management Automation in HR became a necessity as organizations transitioned to remote/hybrid working. With organizations competing to find the best talent in a post-pandemic market with high attrition, automation and digital continue to play a key role in streamlining the recruitment process, making it data-driven, and taking the guesswork out of it for more effective hiring outcomes.

Activities like collecting and processing candidate information and resumes, building a talent database, screening job applications, employee onboarding, employee performance management, and other aspects. With incremental advancements in technology, automation in recruitment is getting more sophisticated to handle complex tasks so that the HR team can focus on core business policies.

Conclusion

AI and digital technologies are always evolving. What started with undertaking shop-floor level tasks can now conduct more complex, high-level tasks with advanced computation and analytical capabilities, specifically for different sectors and business sizes. Digital adoption and automation will continue to be an integral part of technology strategy for growing enterprises seeking maximum efficiency with minimum costs of running processes and scaling their IT. Are you planning to incorporate or scale up automation in your business processes? VBeyond Digital offers 360-degree automation solutions from strategy to implementation and support with expertise in the latest cloud systems and methods.

Get in touch with us today. Share:

[iam-the-wild]

Using AI to cheat your way through school is bad, but I honestly don't know how someone is going to use it to pass exams when schools take so many measures to prevent cheating. Regardless people have always found ways to cheat through degrees. However AI does have some really neat uses in supplementing and assisting learning, which is how most people use it

This is from the American medical association

Dr. Triola: Sure. One of the first projects that we did was a project called DX Mentor where we are using AI to automatically identify learning resources and the latest medical literature based on the diagnoses of the patients they're caring for. We built a system here that connects data from our Epic electronic health record, and it understands which patients in Epic are being cared for by our medical students, connecting that data with a digital catalog of educational resources—some of these things are infographics, are videos about clinical diagnoses and the medical literature itself—all of the latest guideline and review papers that are published in PubMed.

This system every day curates a custom set of nudges for each of our students that delivers to them recommended learning and recommended readings for the patient they had admitted the day before or the night before. It's just in time, it's curated completely by the AI—no human intervention needed—and it's customized for every student. So it's a nice example of precision medical education enabled by the power of generative AI and artificial intelligence systems.

"i don't care if they make their whole way though uni with chatgpt" i think you guys are so internetpilled that you have forgotten there are actual jobs out there that require people to know what they are doing in any way possible or else people die

[noosphe-re]

"There was an exchange on Twitter a while back where someone said, ‘What is artificial intelligence?' And someone else said, 'A poor choice of words in 1954'," he says. "And, you know, they’re right. I think that if we had chosen a different phrase for it, back in the '50s, we might have avoided a lot of the confusion that we're having now." So if he had to invent a term, what would it be? His answer is instant: applied statistics. "It's genuinely amazing that...these sorts of things can be extracted from a statistical analysis of a large body of text," he says. But, in his view, that doesn't make the tools intelligent. Applied statistics is a far more precise descriptor, "but no one wants to use that term, because it's not as sexy".

'The machines we have now are not conscious', Lunch with the FT, Ted Chiang, by Madhumita Murgia, 3 June/4 June 2023

[dahmerskitchen]

[ahb-writes]

(from The Mitchells vs. the Machines, 2021)

[naturewondr]

[aloneinthedark-eagle]

Pain Changes People. If You Don't Want To Change A Person, Don't Hurt Him...🎶🎵🎶🌺🤗😊

[fidjiefidjie]

😁 Humour du jour 🤣

Histoire musicale 🍬 N° 1 d'Halloween 🎃 racontée par Joel Boden & Borat Okama

Source: Rart

The Animals 🎶 House of the Rising Sun

👋 Bel après-midi

[herigo]

[smooshednetwork]

CAINNEEE (I’m still figuring out how to draw all the characters hehehe)

I spent alot of time on the sketch so I’ll put it under the cut

[89hitokiri]

DANGER!!! DANGER!!! DANGER!!!

INCOMING!!! INCOMING!!! INCOMING!!!

EJECT!!! EJECT!!! EJECT!!!

CABIN IS NOT SUITABLE FOR COMPLEX LIFE FORMS!!!

EJECT!!! EJECT!!! EJECT!!! EJECT!!! EJECT!!! EJECT!!! ...

Wanna know more about KuroKage?

黒影 (Kurokage)

History of Kage Industries

[justdavina]

@justdavina of San Francisco AI Fashion Design