#Preparing for Google's AI update

[seohabibi]

Unlock the full potential of your online presence with "Inclusive SEO Best Practices: Ensuring Web Accessibility for People with Disabilities." Learn how to create a digital space that welcomes everyone by implementing accessibility measures. This comprehensive guide covers strategies to enhance your website's usability, cater to diverse user needs, and boost overall inclusivity. Elevate your SEO game while making a positive impact on users of all abilities.

[8pxl]

PSA: Tumblr/Wordpress is preparing to start selling our user data to Midjourney and OpenAI.

you have to MANUALLY opt out of it as well.

to opt out on desktop, click your blog ➡️ blog settings ➡️ scroll til you see visibility options and it’ll be the last option to toggle.

to opt out on mobile, click your blog ➡️ scroll then click visibility ➡️ toggle opt out option.

if you’ve already opted out of showing up in google searches, it’s preselected for you. if you don’t have the option available, update your app or close your browser/refresh a few times. important to note you also have to opt out for each blog you own separately, so if you’d like to prevent AI scraping your blog i’d really recommend taking the time to opt out. (source)

[tricksfunn]

Gemini Takes Flight at Google I/O: Unveiling New Features and the Future of AI

Google I/O 2024 was an event bursting with innovation, and as a user, you might be wondering how these advancements will impact your daily interactions with technology. Let’s delve into the highlights and see how they translate into real-world benefits for you. Gemini 1.5 Pro and Flash: Tailored to Your Needs At the heart of the excitement were the latest additions to the Gemini family: Gemini…

[mostlysignssomeportents]

Naomi Alderman’s ‘The Future’

Naomi Alderman burst onto the scene in 2016 with The Power, an explosive and brilliant feminist apocalyptic parable. Now, seven years later, she's back with a chunky, propulsive second novel about a very different sort of apocalypse: The Future:

https://www.simonandschuster.com/books/The-Future/Naomi-Alderman/9781668025680

The Power was a thriller about a mysterious force that gives women the power to administer violent electric shocks – even lethal ones – from the palms of their hands. As this power races around the world, the status quo is abruptly shattered. Abusers get nasty surprises. The Saudi government topples. Parents of teenaged boys demand sex-segregated classes to protect their sons from vicious girls:

https://memex.craphound.com/2017/10/10/naomi-aldermans-the-power-in-which-fierce-power-of-women-is-awoken/

In The Future, we get a very different kind of apocalypse: the imagined apocalypse of the prepper. At the core of prepperism is a fantasy: that the world will experience a cataclysm that requires the special skills and supplies of the prepper themselves. Water chemists who turn prepper fantasize about attacks on the water-supply – not because there's any special reason to expect one, but because if terrorists attack the water supply, then water chemists become civilization-rescuing heroes:

https://pluralistic.net/2020/03/22/preppers-are-larpers/#preppers-unprepared

(And of course, if the world ends in such a way that marauding bandits rove the wasteland, eating their former neighbors, then macho, AR-15-obsessed musketfuckers get to reinvent themselves as warlords who defend the sheeple from "bad guys.")

This is what makes billionaire prepper fantasies just so weird – for most of us, it's hard to imagine how the skills of a billionaire are the one thing we'll need to see us through a crisis. But for billionaires themselves, the necessity of billionaires in rebooting civilization is so self-evident as to be unquestionable.

What's more, billionaires are convinced – more than any of us – that the world is about to end. As Douglas @Rushkoff puts it, these guys want to earn enough money to outrun the consequences of how they're making all that money. This is #TheMindset, the idea that your own position has jeopardized civilization itself, but that also, you must survive the cataclysm, because only you can survive it.

Rushkoff chronicles the real-world fantasies of luxury bunkers patrolled by mercenaries locked into explosive discipline collars in his book Survival of the Richest:

https://pluralistic.net/2022/09/13/collapse-porn/#collapse-porn

But billionaires don't just suck at running civilization, they also suck at making up stories about its collapse. One thing that's striking about Rushkoff's ethnography of rich people preparing to outlive the end of the human race is how banal their eschatological fantasies are.

It's not that there aren't any exciting stories to tell about billionaire survival fantasies. The granddaddy of these is, of course, Edgar Allan Poe's 1842 "#MasqueOfTheRedDeath":

https://www.poemuseum.org/the-masque-of-the-red-death

I published an updated version with the same title in 2019 in my novella collection #Radicalized:

https://pluralistic.net/2020/03/14/masque-of-the-red-death/#masque

In The Future, we get a cracking, multi-point-of-view adventure novel about billionaires prepping for the end of the world. Three billionaires, the lords of thinly veiled analogs to Facebook, Google and Amazon, each getting ready in their own way. Stumbling into their midst comes Lai Zhen, a prepper influencer vlogger with millions of followers.

When Zhen becomes romantically entangled with Martha Einkorn, the top aide and chief-of-prepping for one of these billionaires, she finds herself in possession of an AI chatbot that is devoted to protecting a very small number of people from incipient danger. This chatbot determines that Zhen is being stalked by an assassin at a mall in Singapore, and guides her to safety.

The chatbot is a closely held secret among the tech billionaire cabal. It is designed to monitor world events and predict when The Event is imminent, be it disease, war, or other cataclysmic disaster. With the chatbot's predictive powers and its superhuman guidance, the billionaires, their families, and their closest confidantes will be able to slip away before the shit hits the fan, fly by different private jets to one or another luxury bunker, and wait out the apocalypse. Once the fires raging without have died down to embers, the chatbot's billionaire charges will emerge to assume their places as wise and all-powerful leaders of the next human civilization.

As you might imagine, not everyone who finds out about this plan – including various members of the billionaires' families who are fully aware of these rich, powerful people's fallibility – is enthusiastic about it. As we build toward a looming crisis, we cycle between these family members, Zhen and her hacker buddies, and members of an online prepper community where Einkorn is a kind of provocateuse and eminence grise.

Alderman skillfully maneuvers all these power players and blocs into position before detonating the crisis that sets off the book's second act, where we get into some damned fine Masque of the Red Death territory, but clad in Tony Stark mecha survival suits and against a backdrop of total disaster.

I won't give away any spoilers here, except to say that there are lots of twists (that won't surprise readers of The Power, which had its own excellent surprises). But without delving too deeply into the fake-outs, crosses, and turns that Alderman lays, I will say that this is a fantastic and incredibly satisfying comeuppance novel that gets very deep into the ideology of wishing the world would end, and dreaming that when it does, you will finally matter.

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/2023/11/07/preppers-of-the-red-death/#the-event

[vedangkadia]

🚀 Meta's New Ad Tools for Facebook & Instagram Are Here! 🎯

Meta just released exciting updates to its ad platforms, aimed at making your campaigns smarter and more effective. Here's a quick look at what’s new and why it matters:

1️⃣ Smarter Targeting with AI: Meta's AI-powered optimization helps you polish your ad targeting. Whether you're customizing ads for different audiences or adjusting campaigns, these tools are designed to reach the right people more efficiently.

2️⃣ New Incremental Attribution Model: This new attribution setting targets those who are more likely to convert after seeing your ad—customers who wouldn’t have taken action otherwise. Early tests show an average 20% increase in incremental conversions, ensuring your ads have a real impact.

3️⃣ Better Analytics Integration: Meta is simplifying connections with external analytics tools like Google Analytics and Adobe, providing a clearer view of how your campaigns perform across platforms. Now, you can track and understand the full customer journey, from paid social to SEO, all in one place.

✨ Key Features :

- Conversion Value Rules: Prioritize high-value customers without creating separate campaigns. Adjust your bids for different customer actions based on long-term value, so you can place higher bids on customers who offer more value over time—all within the same campaign.

- Incremental Attribution: Focus on “incremental conversions”—customers who wouldn’t have converted without seeing your ad. Early adopters have seen a 20% rise in these valuable conversions.

- Cross-Platform Analytics: Meta’s direct connections with analytics platforms allow you to merge data from different channels, giving you a holistic view of your ad performance. Early tests show a 30% increase in conversions when third-party analytics tools like Google Analytics are used alongside Meta ads.

These updates are about improving the precision and efficiency of your ad campaigns. Meta’s new AI-driven features help you achieve better results, make smarter decisions, and maximize the value of your ad spend.

💡 What to Do Now :

✔️ Review your current Meta ad strategy to ensure you're ready to take advantage of these tools.

✔️ Map out your customer journey to identify where these new features can add the most value.

✔️ Be prepared to test these updates as they roll out—early adopters are already seeing impressive gains.

How do you plan to use these new Meta tools? Share your thoughts in the comments below! 💬

📌Follow us on Social Media📌

📢 LinkedIn — Vedang Kadia — Amazon Associate | LinkedIn

📢 Quora — Vedang Kadia

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📢 Medium — Vedang Kadia — Medium

[kashish-arora20]

How to Crack Digital Marketing job

Introduction

Digital marketing is the best career opportunity. You recently completed your graduation and are starting your career in digital marketing. First, understand what digital marketing is. What is your current role and how do you navigate the job. Here I guide you to help you to crack a digital marketing job You find the jobs easily on LinkedIn. 

Digital Marketing Overview

Digital Marketing promotes products and services through digital methods, for example, SEO, social media marketing, content writing, ads, email marketing, etc. It is important to know the marketing strategies.

Important Skills

Knowledge skill: gaining practical knowledge in SEO (search engine optimization), writing blogs, and content marketing. WordPress, SMM (social media marketing), Google Ads, etc. 

Creative skill - you must have knowledge of creative skills in graphic design for example Canva, photoshop, and Abode like. 

Tools - must have knowledge of AI tools for example ChatGPT and other tools.

Social media profile 

Profile. It is important to have a social media profile and be active on it, for example, on LinkedIn, Instagram, Facebook, Twitter, etc.…

Stay updated

 Stay Updated on new marketing trends tools and creative learning.

Keys areas knowledge and skills which require maximum focus"

SEO (search engine optimization) is the process of optimizing a website or webpage to increase the quality and quantity of its traffic from a search engine organic result.

SMM (Social Media Marketing) is the process of making a network and sharing information about the companies. it is also a digital marketing and e-marketing

Content Writing is the process of writing content example blogs and others.

Email Marketing is the process of direct digital marketing sending emails to other people regarding brands and services.

Video marketing is the process of digital marketing advertising method to promote any brands or services digitally method

For digital marketing success, it is important to do marketing research and identify your brand strategies.

crack digital marketing job

For jobs, you must have good communication skills. and marketing knowledge. and practical experience in all digital marketing strategies.

learn how to use AI tools and other tools example Google Analytics and many more tools

first, you complete your course and internship program and gain knowledge and experience. and more learning on social media platforms. join digital marketing groups on LinkedIn.

For job interview

Before you apply for a job, you must have a good-quality resume. and after you prepare for the interview 

for the interview be ready for sample digital marketing questions 

for example,

what is digital marketing? and how it is work

what is SEO?

what do you mean by advertising? and how it is help?

what is PPC?

Focus on the main points

cracking a digital marketing job. You must have a combination of knowledge and skill. For example, Creative skills, technical skills, practical knowledge, and experience. Gaining knowledge in marketing, being active on social media, joining a digital marketing group, and search jobs on LinkedIn.

you must have the best learning skills.

you have skills and knowledge. you crack a job easily

to do best practices

strengthen your creativity

focus on your goal

don't give up

good communication

Networking

Make a strong network with other people on social media Example for LinkedIn. You find jobs on LinkedIn anytime and crack the interview.

to crack the job always keep the latest updates and remain active on social media platforms.

And use your internship experience for cracking the job

Conclusion

you must your main focus is on marketing strategies, brand building, learning skills communicating yourself and stay updated latest trend

If you are serious about my article, DM me for more details. 

[mcabalse]

Progress Update #3

The production phase of my capstone project is now underway. I emailed Sharla the design and template of what one Instagram post would look like and I was given approval! However, I had to make a couple of changes to my project. I initially was going to use four ChatGPT models and Canva Magic Media, but I felt that it was too excessive and would overwhelm my viewers with so many choices. So, I decided to use three ChatGPT models instead, as well as drop Canva Magic Media.

I would first like to mention that by doing this project, I am, by no means, claiming that I am a "color expert." Color perception is subjective, and this project is an exploration of the different color perceptions of people and technology. I will first create my color palette before generating in AI because I don't my color decisions to be influenced or swayed by the results that AI generates. I will use a variety of image search engines such as Google Images and Unsplash to seek inspiration and create a mood board.

After I create my color palette, I will generate color palettes from the seven AI models that I am using: ColorMagic, Color Palette Designer (ChatGPT), Color Palette & Design (ChatGPT), Color Palette Generator (ChatGPT), Adobe Firefly, & Midjourney. Adobe Firefly & Midjourney are particularly different from the rest of the AI model because they spew out images rather than a color palette, so I use Adobe Color to extract colors from the images and create a color palette.

After I create all 8 color palettes, I will gather them together and post them on my Instagram stories, asking two questions: Which color palette best represents the word prompt, and which color palette was human made. It is a blind poll, meaning that there are no labels indicating who or what model made the color palette.

In the next two weeks, I will start working on each word prompt and preparing posts to upload to my Instagram page.

[gradsireninc]

How To Get An Online Internship In the IT Sector (Skills And Tips)

Internships provide invaluable opportunities to gain practical skills, build professional networks, and get your foot in the door with top tech companies.

With remote tech internships exploding in IT, online internships are now more accessible than ever. Whether a college student or career changer seeking hands-on IT experience, virtual internships allow you to work from anywhere.

However, competition can be fierce, and simply applying is often insufficient. Follow this comprehensive guide to develop the right technical abilities.

After reading this, you can effectively showcase your potential, and maximize your chances of securing a remote tech internship.

Understand In-Demand IT Skills

The first step is gaining a solid grasp of the most in-demand technical and soft skills. While specific requirements vary by company and role, these competencies form a strong foundation:

Technical Skills:

Proficiency in programming languages like Python, JavaScript, Java, and C++

Experience with front-end frameworks like React, Angular, and Vue.js

Back-end development skills - APIs, microservices, SQL databases Cloud platforms such as AWS, Azure, Google Cloud

IT infrastructure skills - servers, networks, security

Data science abilities like SQL, R, Python

Web development and design

Mobile app development - Android, iOS, hybrid

Soft Skills:

Communication and collaboration

Analytical thinking and problem-solving

Leadership and teamwork

Creativity and innovation

Fast learning ability

Detail and deadline-oriented

Flexibility and adaptability

Obtain Relevant Credentials

While hands-on skills hold more weight, relevant academic credentials and professional IT certifications can strengthen your profile. Consider pursuing:

Bachelor’s degree in Computer Science, IT, or related engineering fields

Internship-specific courses teaching technical and soft skills

Certificates like CompTIA, AWS, Cisco, Microsoft, Google, etc.

Accredited boot camp programs focusing on applied skills

MOOCs to build expertise in trending technologies like AI/ML, cybersecurity

Open source contributions on GitHub to demonstrate coding skills

The right credentials display a work ethic and supplement practical abilities gained through projects.

Build An Impressive Project Portfolio

Nothing showcases skills better than real-world examples of your work. Develop a portfolio of strong coding, design, and analytical projects related to your target internship field.

Mobile apps - publish on app stores or use GitHub project pages

Websites - deploy online via hosting services

Data science - showcase Jupyter notebooks, visualizations

Open source code - contribute to public projects on GitHub

Technical writing - blog posts explaining key concepts

Automation and scripts - record demo videos

Choose projects demonstrating both breadth and depth. Align them to skills required for your desired internship roles.

Master Technical Interview Skills

IT internship interviews often include challenging technical questions and assessments. Be prepared to:

Explain your code and projects clearly. Review them beforehand.

Discuss concepts related to key technologies on your resume. Ramp up on fundamentals.

Solve coding challenges focused on algorithms, data structures, etc. Practice online judges like LeetCode.

Address system design and analytical problems. Read case interview guides.

Show communication and collaboration skills through pair programming tests.

Ask smart, well-researched questions about the company’s tech stack, projects, etc.

Schedule dedicated time for technical interview practice daily. Learn to think aloud while coding and get feedback from peers.

Show Passion and Curiosity

Beyond raw skills, demonstrating genuine passion and curiosity for technology goes a long way.

Take online courses and certifications beyond the college curriculum

Build side projects and engage in hackathons for self-learning

Stay updated on industry news, trends, and innovations

Be active on forums like StackOverflow to exchange knowledge

Attend tech events and conferences

Participate in groups like coding clubs and prior internship programs

Follow tech leaders on social mediaListen to tech podcasts while commuting

Show interest in the company’s mission, products, and culture

This passion shines through in interviews and applications, distinguishing you from other candidates.

Promote Your Personal Brand

In the digital age, your online presence and personal brand are make-or-break. Craft a strong brand image across:

LinkedIn profile - showcase achievements, skills, recommendations

GitHub - displays coding activity and quality through clean repositories

Portfolio website - highlight projects and share valuable content

Social media - post career updates and useful insights, but avoid oversharing

Blogs/videos - demonstrate communication abilities and thought leadership

Online communities - actively engage and build relationships

Ensure your profiles are professional and consistent. Let your technical abilities and potential speak for themselves.

Optimize Your Internship Applications

Applying isn’t enough. You must optimize your internship applications to get a reply:

Ensure you apply to openings that strongly match your profile Customize your resume and cover letters using keywords in the job description

Speak to skills gained from coursework, online learning, and personal projects

Quantify achievements rather than just listing responsibilities

Emphasize passion for technology and fast learning abilities

Ask insightful questions that show business understanding

Follow up respectfully if you don’t hear back in 1-2 weeks

Show interest in full-time conversion early and often

Apply early since competitive openings close quickly

Leverage referrals from your network if possible

This is how you do apply meaningfully. If you want a good internship, focus on the quality of applications. The hard work will pay off.

Succeed in Your Remote Internship

The hard work pays off when you secure that long-awaited internship! Continue standing out through the actual internship by:

Over Communicating in remote settings - proactively collaborate

Asking smart questions and owning your learning

Finding mentors and building connections remotely

Absorbing constructive criticism with maturity

Shipping quality work on or before deadlines

Clarifying expectations frequently

Going above and beyond prescribed responsibilities sometimes

Getting regular feedback and asking for more work

Leaving with letters of recommendation and job referrals

When you follow these tips, you are sure to succeed in your remote internship. Remember, soft skills can get you long ahead in the company, sometimes core skills can’t.

Conclusion

With careful preparation, tenacity, and a passion for technology, you will be able to get internships jobs in USA that suit your needs in the thriving IT sector.

Use this guide to build the right skills, create an impressive personal brand, ace the applications, and excel in your internship.

Additionally, you can browse some good job portals. For instance, GrandSiren can help you get remote tech internships. The portal has the best internship jobs in India and USA you’ll find. The investment will pay dividends throughout your career in this digital age. Wishing you the best of luck! Let me know in the comments about your internship hunt journey.

[unschool]

5 Best Books for Digital Marketing

Business guidance is everywhere these days, and it may not seem that books offer much more than what’s freely available online. Books offer something special regarding robust tips that last for years. Experts have written tips and tricks about their domain. Therefore, the best books for digital marketing pass along time-tested strategies for taking your company or nonprofit to the next level.

Moreover, you can also get hands-on experience on jobs with a digital marketing certificate from Unschool. This program consists of 6 months, followed by a career in digital marketing. This digital marketing course with a job guarantee helps the learners get well-versed in the first four months; the rest is covered for preparing to crack a job. Enroll now!

Pick up a copy and line your bookshelves with the kind of knowledge you can refer back to again and again.

Ready to learn more about the best books on digital marketing? Then let’s get started!

1. They Ask, You Answer: A Revolutionary Approach to Inbound Sales, Content Marketing, and Today’s Digital Consumer (Marcus Sheridan, 2019)

You can’t have a digital marketing conversation without realizing the impact of Search Engine Optimization(SEO). This book employs relatable stories from the author’s career journey to explain how content marketing can make a big difference in any digital platform. While it is good to read books and getting a digital marketing course with an internship adds a cherry on the cake. 

This book discusses why quality content matters and how to use it as part of an organic, authentic digital marketing strategy minus all the icky keyword stuffing. If you plan to build your career in content writing, enroll in an online course certification from Unschool. 

2. Digital Marketing in an AI World: Futureproofing Your PPC Agency (Frederick Vallaeys, 2019)

Artificial intelligence (AI) is blowing up the world today, with worries that algorithms may fully replace humans in creating digital content. Author Vallaeys acknowledges the problems in this book by stating that it’s powerful but not the perfect solution. His breakdown of what AI is best used for and how it helps PPC marketers do their jobs better is both reassuring and practical. 

Moreover, you can get hands-on knowledge from online courses with certifications from Unschool in digital marketing. Our industry experts have shared their experiences according to the in-demand trends. So what are you waiting for? Enroll now to enhance your knowledge. 

3. Marketing Made Simple: A Step-by-Step StoryBrand Guide for Any Business (Donald Miller, 2020)

You may have already heard of Donald Miller, a best-selling author with notoriety in the branding sphere. His latest book takes that initial momentum into an actionable checklist for building sales funnels. Even if you’re familiar with funnels, the principles behind them are worth reviewing. Moreover, a step-by-step workbook lets you brainstorm and strategize before executing those principles. Hence the readers get a nuts-and-bolts look at creating a marketing plan, including email and an engaging website. 

4. Join or Die: Digital Advertising in the Age of Automation (Patrick Gilbert, 2020)

Despite the book’s somewhat threatening title, Join or Die is a detailed look at how automation transforms digital marketing jobs. Gilbert refers to Google Ads in most case studies but highlights the adaptability of the mindset to almost any paid media platform where automation tools exist.

While agencies and marketers may be hesitant to embrace automation, it’s already here, and this book acts as a primer to how it all works. In addition, it explores why the most successful marketers adopt it to make their campaigns more relevant and scalable. Therefore get on board with the digital marketing job guarantee program from Unschool. 

5. One Million Followers, Updated Edition: How I Built a Massive Social Following in 30 Days (Brendan Kane, 2020)

Who wouldn’t want a million followers? While social media has more to offer apart from having zillions of followers. It’s widely accepted that the more followers, the easier to get your message out there. The book covers all the pros and cons of his journey to a million fans. Those already familiar with social media jargon and wanting to know how big brands make a splash will find it intriguing. Well, you can learn more about how to increase your online presence on social media platforms via online certificate programs. 

How to get on a digital marketing job program

If you’re excited to learn more about digital marketing, it can be tempting to jump into all these ideas simultaneously. Therefore, start exploring a digital career and what skills, online courses with certificates or more are required. Remember, digital marketing is a vast concept incorporating anything a brand does to reach its target audience online. With so many options, it’s easy to spread yourself thin. Consider upgrading your knowledge with online course certification with an internship in the same domain.  Are you just getting into digital marketing and need some guidance on where to start? Enroll in the digital marketing job program from Unschool to help you learn if digital marketing is the right career.

[catastrophe-sandwich]

A little while back Google sent me an ultimatum. Pay 24 bucks a month for my and my parents Google accounts, or lose access to all my email, purchases, books, photos, decades of history. Flickr did the same thing. Cloudflare, another company I loved, got into the business of platforming the alt right. Microsoft bought GitHub and stole everyone's code for their AI training.

All these things that I liked, even loved, existed solely to be bought out, upsold or flipped for a profit and gutted. Maybe not immediately. But there's really one goal in capitalism, and that's extracting as much value from the thing as you can.

I quite love my MacBook. It's easily the best computer I've ever owned. But on the flip side I have friends I just can't contact because they use iPhones. My mum wants to know why she can't FaceTime me, and I have friend groups with group chats I'm not invited to because I use Android. This was a deliberate, documented decision by Apple to lock everyone into their ecosystem and extract as much value as they can with the least effort possible.

I fucking hate it.

But if anything has made me any more anticapitalist it's Elon.

Fucking Elon.

Twitter was a product that I loved. 15 years ago I joined, on a whim, because it was doing the same thing I was trying to make my blog do. Little updates in the sidebar. I never imagined it would have such a big impact on my life.

I think I was 21. Damn. I basically grew up on Twitter. Living through my 20s with (initially SMS access, but eventually) a permanent uplink to the hive mind which shaped who I am today. Initially I was just broadcasting my thoughts, which reflected my narrow worldview at the time. But it slowly became more of a community thing and opened my eyes to the larger world around me.

#btub was a monthly meetup of Brisbane folks, The Brisbane Twitter User Brigade. A hodgepodge group of internet weirdos who would rock up to Greystone Bar and just hang out together. Network. Get drunk. We had those cheesy "hello my name is" stickers which we'd write our Twitter handles on (@goAshley!). It was hilariously dorky, but I loved it in an ironic sort of way.

At its peak we filled the entire deck area and went late into the night.

Through the years I met some of my best and closest friends on Twitter, through btub and otherwise. Eventually it became maybe not mainstream, but a lot less about community. But it was still my uplink to all my internet friends. Any moment of the night or day I could pull out my phone and not be alone. Or sometimes be more alone than I ever was, depending.

I always said I would leave Twitter when they introduced ads in the feed. They introduced ads years ago, but I still loved that place. They introduced the algorithmic timeline that amplified hate and surfaced other people's anxieties to make them yours. But I stuck around because you could turn that off. Jack Dorsey introduced crypto to the platform and I still stuck around, reluctantly, because that's where all my internet friends were.

Then Elon Musk.

I was willing to see it through because I used to like the place. But I don't think anyone was prepared for the speed it devolved. Elon seems to be an outlier in this tale of capitalist bulldozing, because there's no motive here other than that he appears to be a complete fucking idiot. But nevertheless It's clear he has no respect for this thing that we have collectively loved, and he's certainly not going to make it a safe or pleasant place to be from now on.

It's heartbreaking. The end of an era. All because the rich man wanted to own the internet.

The hive mind, my avian companion, custodian and curator of my thoughts existed solely to be bought out, flipped for a profit and gutted. Fucking capitalism.

Anyway this whole post came about because I love Automattic. They do really good stuff and Tumblr is lovely…

[webmarketingar]

SEO: Report Brings The Biggest Challenges In 2022 And The Main Trends For 2023 by Fernanda Donnini.

The Search Engine Journal (SEJ) recently released their latest State of SEO report with many trends and predictions for 2023. In the report, they analyzed the latest research and expert POVs to understand the biggest challenges SEO professionals faced this year and what the greatest expected shifts in SEO are for 2023. SEJ's state of SEO report predicts that machine learning & AI, Google updates, and third-party cookie deprecation will be the biggest changes in SEO by 2023. To properly prepare for future threats, SEJ asked respondents what they think will be the three biggest changes in SEO within the next few years. Read the article http://bit.ly/3ITf3Zk

[nitor-infotech]

How do Big Data and AI work Together?

Data is the new oil, and AI is the engine driving its power. Well, we are not saying this, but a recent study says that - 79% of organizations have gained new insights and achieved significant improvements in their analytical capabilities by leveraging the power of AI. So, in today’s rapidly evolving technological landscape, the fusion of artificial intelligence (AI) and big data is set to expand the boundaries of what’s possible.

In this 3-minute read, you'll explore the relationship between AI and big data, discover their capabilities, and some real-world examples.

So, let’s get started!

Relation between AI and Big Data

In the past decade, businesses amassed vast amounts of data—marking the big data revolution. However, storing this data wasn't enough. To truly harness its value, companies slowly turned towards advanced AI and machine learning techniques.

Machine learning uses algorithms to find patterns and insights, unlike traditional methods that follow fixed rules. On the other hand, big data provides the vast amounts of information needed for these algorithms to work effectively.

This is how they work:

· Data Collection and Storage: Big data systems collect and store vast amounts of information from multiple sources using various frameworks like Hadoop or cloud-based data lakes.

· Data Processing: Tools like Apache Spark preprocess and structure this data for analysis.

· Feature Extraction: Next, various techniques like Principal Component Analysis (PCA) or t-distributed Stochastic Neighbor Embedding (t-SNE) identify relevant features from raw data, preparing it for AI models.

· Machine Learning: Algorithms, such as neural networks or decision trees, analyze data to uncover patterns and build predictive models.

· Model Training and Validation: AI models are trained and validated on subsets of data to ensure accuracy.

· Deployment: Trained models are deployed for real-time predictions using platforms like TensorFlow Serving.

· Feedback Loop: Performance is monitored, and the models are then updated based on new data.

Hope you’re clear about their relationship and working. If yes, next, let’s talk about the exceptional capabilities it can bring to your table.

Leveraging Big Data with AI’s Power

Here are the top 5 benefits of combining AI with Big Data’s capabilities:

1. Comprehensive Customer Insights: Digital footprints are expanding, allowing companies to gain deeper customer insights using automated analytics over data lakes, revolutionizing customer understanding.

2. Interactive Data Engagement: Generative AI enables easy data interactions through conversational prompts, making data extraction accessible to all users.

3. Tailored Recommendations: AI helps create detailed user profiles for personalized content and product suggestions, improving relevance across various industries.

4. Boosted Customer Acquisition and Retention: AI and big data refine customer insights to enhance products and strategies, boosting satisfaction, conversions, and loyalty.

5. Advanced Fraud Detection: Big data analytics detect and prevent fraud by analyzing large data volumes for anomalies. Thus, enhancing cybersecurity.

Onwards to some real-life examples!

AI and Big Data in Action: Inspiring Examples

Get inspired with these real-world examples of AI-powered big data integration:

· Netflix uses machine learning to tailor recommendations for each user, enhancing their experience and increasing engagement on the platform.

· Google leverages machine learning to deliver personalized features such as predictive text and optimized directions. Additionally, it uses big data to develop generative AI LLMs, improving search functionality.

· Amazon utilizes AI and big data to offer hyper-personalized shopping experiences. By analyzing user behavior and purchase history, its recommendation engine suggests products, boosting both user satisfaction and sales.

So, as we move forward, the fusion of machine learning, big data, and advanced analytics will be crucial for informed decision-making. Organizations that overlook this integration risk falling behind in the digital transformation race.

Secure your business today and enjoy growth - reach us at Nitor Infotech.

[govindhtech]

New GKE Ray Operator on Kubernetes Engine Boost Ray Output

GKE Ray Operator

The field of AI is always changing. Larger and more complicated models are the result of recent advances in generative AI in particular, which forces businesses to efficiently divide work among more machines. Utilizing Google Kubernetes Engine (GKE), Google Cloud’s managed container orchestration service, in conjunction with ray.io, an open-source platform for distributed AI/ML workloads, is one effective strategy. You can now enable declarative APIs to manage Ray clusters on GKE with a single configuration option, making that pattern incredibly simple to implement!

Ray offers a straightforward API for smoothly distributing and parallelizing machine learning activities, while GKE offers an adaptable and scalable infrastructure platform that streamlines resource management and application management. For creating, implementing, and maintaining Ray applications, GKE and Ray work together to provide scalability, fault tolerance, and user-friendliness. Moreover, the integrated Ray Operator on GKE streamlines the initial configuration and directs customers toward optimal procedures for utilizing Ray in a production setting. Its integrated support for cloud logging and cloud monitoring improves the observability of your Ray applications on GKE, and it is designed with day-2 operations in mind.

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Getting started

When establishing a new GKE Cluster in the Google Cloud dashboard, make sure to check the “Enable Ray Operator” function. This is located under “AI and Machine Learning” under “Advanced Settings” on a GKE Autopilot Cluster.

The Enable Ray Operator feature checkbox is located under “AI and Machine Learning” in the “Features” menu of a Standard Cluster.

You can set an addons flag in the following ways to utilize the gcloud CLI:

gcloud container clusters create CLUSTER_NAME \ — cluster-version=VERSION \ — addons=RayOperator

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GKE hosts and controls the Ray Operator on your behalf after it is enabled. After a cluster is created, your cluster will be prepared to run Ray applications and build other Ray clusters.

Record-keeping and observation

When implementing Ray in a production environment, efficient logging and metrics are crucial. Optional capabilities of the GKE Ray Operator allow for the automated gathering of logs and data, which are then seamlessly stored in Cloud Logging and Cloud Monitoring for convenient access and analysis.

When log collection is enabled, all logs from the Ray cluster Head node and Worker nodes are automatically collected and saved in Cloud Logging. The generated logs are kept safe and easily accessible even in the event of an unintentional or intentional shutdown of the Ray cluster thanks to this functionality, which centralizes log aggregation across all of your Ray clusters.

By using Managed Service for Prometheus, GKE may enable metrics collection and capture all system metrics exported by Ray. System metrics are essential for tracking the effectiveness of your resources and promptly finding problems. This thorough visibility is especially important when working with costly hardware like GPUs. You can easily construct dashboards and set up alerts with Cloud Monitoring, which will keep you updated on the condition of your Ray resources.

TPU assistance

Large machine learning model training and inference are significantly accelerated using Tensor Processing Units (TPUs), which are custom-built hardware accelerators. Ray and TPUs may be easily used with its AI Hypercomputer architecture to scale your high-performance ML applications with ease.

By adding the required TPU environment variables for frameworks like JAX and controlling admission webhooks for TPU Pod scheduling, the GKE Ray Operator simplifies TPU integration. Additionally, autoscaling for Ray clusters with one host or many hosts is supported.

Reduce the delay at startup

When operating AI workloads in production, it is imperative to minimize start-up delay in order to maximize the utilization of expensive hardware accelerators and ensure availability. When used with other GKE functions, the GKE Ray Operator can significantly shorten this startup time.

You can achieve significant speed gains in pulling images for your Ray clusters by hosting your Ray images on Artifact Registry and turning on image streaming. Huge dependencies, which are frequently required for machine learning, can lead to large, cumbersome container images that take a long time to pull. For additional information, see Use Image streaming to pull container images. Image streaming can drastically reduce this image pull time.

Moreover, model weights or container images can be preloaded onto new nodes using GKE secondary boot drives. When paired with picture streaming, this feature can let your Ray apps launch up to 29 times faster, making better use of your hardware accelerators.

Scale Ray is currently being produced

A platform that grows with your workloads and provides a simplified Pythonic experience that your AI developers are accustomed to is necessary to stay up with the quick advances in AI. This potent trifecta of usability, scalability, and dependability is delivered by Ray on GKE. It’s now simpler than ever to get started and put best practices for growing Ray in production into reality with the GKE Ray Operator.

Read more on govindhtech.com

[ahansaxena12]

Best Courses for Software Development at MindStick: Empowering the Next Generation of Innovators

At MindStick, our mission is simple: We train people for the upcoming future technology with the help of our courses and training programs. In a rapidly evolving digital landscape, staying updated with the latest trends and technologies is crucial for success in the field of software development. Whether you're a novice or a seasoned professional, our carefully curated courses will help you stay competitive and prepared for tomorrow's technological challenges.

1. Introduction to Programming with Python

Python has cemented its place as one of the most versatile and widely used programming languages in the tech industry. Whether you’re a beginner or looking to expand your coding skills, our Introduction to Programming with Python course offers a solid foundation.

Why Python?

Beginner-friendly and widely applicable.

Used in web development, data science, automation, and AI.

Simple syntax that emphasizes readability and efficiency.

By the end of the course, you’ll be able to develop basic Python applications and understand fundamental programming concepts like loops, conditions, and functions. With Python's growing demand, mastering it can open doors to countless opportunities across industries.

2. Full Stack Web Development

If you aspire to become a versatile web developer, mastering both front-end and back-end technologies is essential. Our Full Stack Web Development course equips you with the skills needed to build and deploy complete web applications from scratch.

Course Highlights:

Front-end development with HTML5, CSS3, and JavaScript frameworks like React or Angular.

Back-end development using Node.js, Django, or Flask.

Database management with SQL and NoSQL.

Deployment and version control using Git and GitHub.

This course not only covers the technical aspects of web development but also focuses on building scalable, responsive, and user-friendly websites. By becoming proficient in both front-end and back-end development, you’ll be able to handle end-to-end software development processes.

3. Mobile App Development (iOS and Android)

In today's mobile-first world, mobile app development is a critical skill for developers. Our Mobile App Development course covers both iOS and Android platforms, enabling you to create native and cross-platform applications.

Why This Course?

Learn native development with Swift (iOS) and Kotlin (Android).

Explore cross-platform development with Flutter or React Native.

Design intuitive user interfaces with mobile-specific tools.

Deploy applications to the App Store and Google Play.

Mobile apps are central to modern digital experiences. Through this course, you’ll learn how to develop efficient, interactive, and high-performing apps, positioning you as an essential player in the ever-growing mobile market.

4. Cloud Computing and DevOps

As businesses continue migrating to the cloud, understanding cloud architecture and DevOps practices has become a highly sought-after skill set. Our Cloud Computing and DevOps course introduces you to the world of cloud infrastructure and deployment strategies.

Course Focus:

Master the fundamentals of cloud platforms like Amazon Web Services (AWS), Google Cloud, and Microsoft Azure.

Learn Continuous Integration/Continuous Deployment (CI/CD) processes for seamless development.

Explore containerization with Docker and orchestration with Kubernetes.

Gain hands-on experience with automation tools to streamline software development.

By the end of this course, you’ll know how to deploy, manage, and scale applications on cloud platforms, preparing you for future challenges in cloud-based software development.

5. Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of technological advancement, reshaping industries like healthcare, finance, and automotive. Our Artificial Intelligence and Machine Learning course is designed to equip you with the skills to work with these cutting-edge technologies.

What You’ll Learn:

Foundational AI and ML concepts, including Supervised, Unsupervised, and Reinforcement Learning.

Practical applications using TensorFlow and PyTorch.

Data preprocessing, feature engineering, and model evaluation.

Hands-on projects in areas like Natural Language Processing (NLP) and Computer Vision.

This course will empower you to build intelligent systems capable of analyzing vast datasets and making predictions, a skill set that is highly in demand across all industries.

6. Cybersecurity and Ethical Hacking

With the increasing frequency of cyber-attacks, there’s an urgent need for professionals trained in cybersecurity and ethical hacking. Our comprehensive course in Cybersecurity and Ethical Hacking offers hands-on learning for identifying vulnerabilities and securing networks.

Course Focus:

Learn the essentials of network security and encryption.

Conduct penetration testing and vulnerability assessments.

Explore ethical hacking techniques to safeguard systems.

Understand security best practices for developing secure software.

In a world where data breaches are becoming increasingly common, cybersecurity skills are in high demand. Completing this course will allow you to protect organizations from emerging cyber threats and make you a valuable asset in the IT security landscape.

Conclusion

At MindStick, we train people for the upcoming future technology by offering courses that address the most critical and in-demand skills in software development. Whether you're aiming to become a full-stack developer, dive into AI and machine learning, or specialize in cybersecurity, our programs are designed to prepare you for success in the fast-evolving tech world.

By investing in your education with MindStick, you’re not just learning the tools of today—you’re preparing for the innovations of tomorrow.

[shosiblog]

How Does Google’s AI Update (Google Bard) Affect SEO Strategies?

In 2024, Google has introduced a significant AI update known as Google Bard, which is designed to enhance the search experience by leveraging advanced artificial intelligence. As AI continues to reshape various aspects of digital marketing, understanding how Google Bard impacts SEO strategies is crucial for staying ahead in the competitive landscape.

In this blog, we’ll explore how Google Bard affects SEO strategies and provide actionable tips to help you adapt and optimize your approach to align with this new AI-driven search paradigm.

Understanding Google Bard

Google Bard is an advanced AI-powered tool that aims to improve the accuracy, relevance, and personalization of search results. By leveraging natural language processing (NLP) and machine learning, Bard can understand and interpret user queries with greater nuance, delivering more precise and contextually relevant results. This update represents a significant shift in how Google approaches search and information retrieval.

How Google Bard Affects SEO Strategies

1. Emphasis on High-Quality, Relevant Content

Google Bard’s advanced understanding of language and context means that search results are more focused on delivering high-quality, relevant content. This places a stronger emphasis on creating content that is not only informative but also contextually accurate and valuable to users.

Actionable Tip: Invest in producing in-depth, high-quality content that addresses user intent and provides comprehensive answers to their queries. Focus on relevance and accuracy to meet Bard’s expectations.

2. Increased Importance of User Intent

Google Bard enhances the ability to understand user intent behind search queries. This means that SEO strategies must align more closely with the specific needs and questions of users. Content should be optimized to address the nuances of user intent and provide precise answers.

Actionable Tip: Conduct thorough keyword research to understand user intent and incorporate long-tail keywords and natural language phrases that reflect the way users ask questions.

3. Enhanced Role of Structured Data

With Bard’s advanced capabilities, structured data (schema markup) becomes even more crucial. Structured data helps search engines understand the context of your content, making it easier for Bard to deliver accurate and relevant search results.

Actionable Tip: Implement structured data on your website to provide additional context about your content, such as product information, reviews, and events, to improve visibility in search results.

4. Increased Focus on Natural Language Processing (NLP)

Google Bard’s use of NLP means that SEO strategies should prioritize natural language and conversational content. Search queries are becoming more conversational, and content should reflect this shift by adopting a natural, user-friendly tone.

Actionable Tip: Create content that addresses questions in a conversational manner and aligns with the way users naturally speak or type their queries.

5. Greater Emphasis on E-A-T (Expertise, Authority, Trustworthiness)

As Bard aims to deliver authoritative and trustworthy information, demonstrating expertise and credibility becomes even more important. Content from reputable sources is likely to be favored in search results.

Actionable Tip: Build your website’s authority by publishing expert-level content, acquiring high-quality backlinks, and ensuring that your site is secure and trustworthy.

6. Need for Adaptability and Continuous Monitoring

The introduction of Bard necessitates ongoing adaptability in SEO strategies. As AI technology evolves, staying informed about updates and changes is essential for maintaining optimal SEO performance.

Actionable Tip: Regularly monitor your SEO performance, stay updated on Google’s AI advancements, and be prepared to adjust your strategies in response to new developments.

7. Impact on Featured Snippets and Rich Results

Google Bard’s ability to understand context and intent may influence the way featured snippets and rich results are generated. Content that provides clear, concise answers to common questions is more likely to be featured.

Actionable Tip: Structure your content to answer common questions succinctly and use formatting techniques that improve the likelihood of being featured in snippets or rich results.

Adapting to Google Bard: Actionable Strategies

To effectively adapt to the impact of Google Bard on SEO strategies, consider the following approaches:

Invest in High-Quality Content: Focus on creating content that is both valuable and relevant to your audience, addressing their specific needs and questions.

Optimize for Natural Language: Incorporate conversational language and long-tail keywords into your content to align with the way users search.

Enhance Structured Data: Implement and update structured data to provide search engines with additional context about your content.

Build Authority and Trust: Establish your site as an authoritative source by producing expert content and acquiring quality backlinks.

Stay Informed and Adapt: Keep up with the latest developments in AI and SEO, and be ready to adjust your strategies as needed.

Conclusion

Google Bard represents a significant advancement in AI-driven search technology, impacting SEO strategies by emphasizing high-quality content, user intent, and natural language processing. By adapting to these changes and focusing on relevant, authoritative content, you can align your SEO efforts with Bard’s capabilities and enhance your search engine performance.

Ready to adapt your SEO strategy to the latest AI advancements and stay ahead in 2024? Partner with a leading Digital Marketing Agency in Tamil Nadu and let us help you navigate the evolving SEO landscape for optimal results!

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Transforming Logistics with Innovative App Development

Why Develop a Logistics App?

A well-designed logistics app can address several challenges faced by the logistics industry:

Efficiency and Optimization: Streamline operations by automating routine tasks, optimizing routes, and managing inventory more effectively.

Real-Time Tracking: Provide stakeholders with up-to-date information on shipment status, improving transparency and customer satisfaction.

Data-Driven Decisions: Utilize analytics to gain insights into performance metrics, identify inefficiencies, and make informed decisions.

Key Features of a Successful Logistics App

To ensure your logistics app meets industry demands and user needs, consider incorporating the following features:

Real-Time Tracking and Visibility

Enable users to track shipments and deliveries in real time.

Provide visibility into the entire supply chain, from warehouse to final delivery.

Route Optimization

Use algorithms to determine the most efficient routes for transportation.

Reduce fuel costs and delivery times by optimizing routes based on traffic, weather, and other factors.

Inventory Management

Track inventory levels, manage stock, and automate reordering processes.

Integrate with existing warehouse management systems for seamless operations.

Order Management

Simplify order processing and fulfillment.

Allow users to manage orders, handle returns, and track order statuses.

Analytics and Reporting

Generate reports on key performance indicators (KPIs) such as delivery times, costs, and customer satisfaction.

Use data to identify trends, make improvements, and enhance operational efficiency.

User-Friendly Interface

Design an intuitive and easy-to-navigate interface for both mobile and desktop users.

Ensure that key functionalities are easily accessible and that users can perform tasks with minimal effort.

Integration with Third-Party Services

Integrate with mapping services (e.g., Google Maps API) for accurate navigation and location tracking.

Connect with payment gateways, communication tools, and other relevant services.

Steps in Developing a Logistics App

Requirement Analysis and Planning

Identify the specific needs of your target users and define the app’s objectives.

Plan the app’s features, functionalities, and technical requirements.

Design and User Experience (UX)

Create wireframes and mockups to visualize the app’s design and user flow.

Focus on designing an intuitive UX that enhances user interaction and satisfaction.

Technology Stack Selection

Choose the appropriate technologies for frontend and backend development.

Consider cross-platform frameworks like React Native or Flutter for mobile app development, and robust backend technologies such as Node.js or Django.

Development and Testing

Develop the app’s frontend and backend, integrating necessary APIs and third-party services.

Conduct thorough testing to ensure functionality, performance, and security. This includes unit testing, integration testing, and user acceptance testing (UAT).

Deployment and Launch

Prepare for the app’s launch by setting up necessary infrastructure and deployment processes.

Develop a launch strategy that includes marketing, user training, and support.

Post-Launch Support and Maintenance

Provide ongoing support to address any issues and incorporate user feedback.

Regularly update the app to add new features, enhance performance, and ensure compatibility with the latest devices and operating systems.

Future Trends in Logistics App Development

The logistics industry is rapidly evolving, and so are the technologies driving it. Keep an eye on these trends:

Artificial Intelligence (AI): AI can enhance route optimization, predictive maintenance, and demand forecasting.

Internet of Things (IoT): IoT devices provide real-time data on vehicle conditions, cargo status, and environmental factors.

Blockchain: Blockchain technology offers improved transparency and security in supply chain transactions.

Conclusion

Developing a logistics app is a strategic investment that can greatly enhance efficiency, visibility, and overall performance in the logistics industry. By incorporating key features, following a structured development process, and staying updated with emerging trends, you can create a powerful tool that meets the evolving needs of your business and your customers.