#Azure AI Engineer

[atcuality1]

Create Impactful Digital Experiences with Augmented Reality Development Services

At Atcuality, we believe in the power of augmented reality to transform how users interact with brands. Our augmented reality development services provide businesses with innovative solutions that captivate audiences by blending digital and real-world elements. This immersive technology enables users to visualize products, explore environments, and experience services in a whole new way. Our experienced team of developers and designers work collaboratively with clients to deliver custom AR applications that align with specific business goals. By adopting AR, businesses can enhance customer engagement, increase interaction, and differentiate themselves in a crowded market. With Atcuality’s augmented reality development services, you can create digital experiences that leave a lasting impression, building stronger connections with your audience. Discover how AR can benefit your brand and redefine customer interaction with Atcuality's expertise at your service.

[azureai102]

VisualPath in Hyderabad offers expert-led Azure AI Engineer Training to help you earn the AI-102 Certification. Our Azure AI-102 Online Course covers SQL Server, Data Science, Microsoft Azure, Generative AI, and Artificial Intelligence. With hands-on learning and real-world projects. Call +91-9989971070 to schedule your free demo session today

WhatsApp: https://www.whatsapp.com/catalog/919989971070/

Visit Blog: https://visualpathblogs.com/

Visit: https://www.visualpath.in/online-ai-102-certification.html

[kariniai]

Karini AI Unlocking Potential: Strategic Connectivity with Azure and Google

Generative AI is a once-in-a-generation technology, and every enterprise is in a race to embrace it to improve internal productivity across IT, engineering, finance, and HR, as well as improve product experience for external customers. Model providers are steadily improving their performance with the launch of Claude3 by Anthropic and Gemini by Google, which boast on par or better performance than Open AI’s GPT4. However, these models need enterprise context to provide quality task-specific responses. Over 80% of large enterprises utilize more than one cloud, dispersing enterprise data across multiple cloud storages. Enterprises struggle to build meaningful Gen AI applications for Retrieval Augmented Generation (RAG) with disparate datasets for quality responses.

At the launch, Karini.ai provided connectors for Amazon S3, Amazon S3 with Manifest, and Websites to crawl any website, but it had the vision to provide coverage for 70+ connectors. We are proud to launch support of additional fully featured connectors for Azure Blob Storage ,Google Cloud Storage(GCS) , Google Drive , Confluence, and Dropbox . The connectors provide an easier way to ingest data from disparate data sources with just a few clicks and build a unified interactive Generative AI application. All the connectors are fully featured:

Karini.ai includes an nifty feature called which allows the connectors to gauge the volume of source datasets and file types before executing the ingest.

Perform full initial load and subsequently perform incremental ingest, aka Change Data Capture (CDC)

Filter the source connectors using regular expressions for selective ingest. For example, to ingest only PDF files, use filter as (*.pdf)

Recursive search capabilities are available to search all child directories and subsequent directories.

With the addition of Google, Azure, Confluence, and Dropbox connectors, Karini.ai enables enterprises to unlock the true potential of Generative AI. Our comprehensive collection of connectors tackles the challenge of siloed data, allowing the creation of powerful RAG applications that leverage data from across various sources. This streamlines development and improves data quality, ultimately delivering superior GenAI experiences for internal and external users.

Karini.ai remains committed to expanding its connector ecosystem, fostering a future where Generative AI seamlessly integrates with the ever-evolving enterprise data landscape.

Build your Generative AI application today! Leverage these enterprise connectors and unify disparate cloud-based sources. With Karini.ai, you can unlock the true potential of Generative AI, streamline development, improve data quality, and deliver superior GenAI experiences.

About Karini AI:

Fueled by innovation, we're making the dream of robust Generative AI systems a reality. No longer confined to specialists, Karini.ai empowers non-experts to participate actively in building/testing/deploying Generative AI applications. As the world's first GenAIOps platform, we've democratized GenAI, empowering people to bring their ideas to life – all in one evolutionary platform.

Contact:

Jerome Mendell

(404) 891-0255

sales@karini.ai

[mariacallous]

Elon Musk’s so-called Department of Government Efficiency (DOGE) used artificial intelligence from Meta’s Llama model to comb through and analyze emails from federal workers.

Materials viewed by WIRED show that DOGE affiliates within the Office of Personnel Management (OPM) tested and used Meta’s Llama 2 model to review and classify responses from federal workers to the infamous “Fork in the Road” email that was sent across the government in late January.

The email offered deferred resignation to anyone opposed to changes the Trump administration was making to its federal workforce, including an enforced return-to-office policy, downsizing, and a requirement to be “loyal.” To leave their position, recipients merely needed to reply with the word “resign.” This email closely mirrored one that Musk sent to Twitter employees shortly after he took over the company in 2022.

Records show that Llama was deployed to sort through email responses from federal workers to determine how many accepted the offer. The model appears to have run locally, according to materials viewed by WIRED, meaning it’s unlikely to have sent data over the internet.

Meta and OPM did not respond to requests for comment from WIRED.

Meta CEO Mark Zuckerberg appeared alongside other Silicon Valley tech leaders like Musk and Amazon founder Jeff Bezos at Trump’s inauguration in January, but little has been publicly known about his company’s tech being used in government. Because of Llama’s open-source nature, the tool can easily be used by the government to support Musk’s goals without the company’s explicit consent.

Soon after Trump took office in January, DOGE operatives burrowed into OPM, an independent agency that essentially serves as the human resources department for the federal government. The new administration’s first big goal for the agency was to create a government-wide email service, according to current and former OPM employees. Riccardo Biasini, a former Tesla engineer, was involved in building the infrastructure for the service that would send out the original “Fork in the Road” email, according to material viewed by WIRED and reviewed by two government tech workers.

In late February, weeks after the Fork email, OPM sent out another request to all government workers and asked them to submit five bullet points outlining what they accomplished each week. These emails threw a number of agencies into chaos, with workers unsure how to manage email responses that had to be mindful of security clearances and sensitive information. (Adding to the confusion, it has been reported that some workers who turned on read receipts say they found that the responses weren’t actually being opened.) In February, NBC News reported that these emails were expected to go into an AI system for analysis. While the materials seen by WIRED do not explicitly show DOGE affiliates analyzing these weekly “five points” emails with Meta’s Llama models, the way they did with the Fork emails, it wouldn’t be difficult for them to do so, two federal workers tell WIRED.

“We don’t know for sure,” says one federal worker on whether DOGE used Meta’s Llama to review the “five points” emails. “Though if they were smart they’d reuse their code.”

DOGE did not appear to use Musk’s own AI model, Grok, when it set out to build the government-wide email system in the first few weeks of the Trump administration. At the time, Grok was a proprietary model belonging to xAI, and access to its API was limited. But earlier this week, Microsoft announced that it would begin hosting xAi’s Grok 3 models as options in its Azure AI Foundry, making the xAI models more accessible in Microsoft environments like the one used at OPM. This potentially, should they want it, would enable Grok as an option as an AI system going forward. In February, Palantir struck a deal to include Grok as an AI option in the company’s software, which is frequently used in government.

Over the past few months, DOGE has rolled out and used a variety of AI-based tools at government agencies. In March, WIRED reported that the US Army was using a tool called CamoGPT to remove DEI-related language from training materials. The General Services Administration rolled out “GSAi” earlier this year, a chatbot aimed at boosting overall agency productivity. OPM has also accessed software called AutoRIF that could assist in the mass firing of federal workers.

[techniktagebuch]

06. März 2025

Die Transkriptionssoftware hat zwar Manieren, aber vertuscht dafür die eigene Inkompetenz

Als ich gerade Marlene Etschmanns Notiz über die manierliche Transkriptionsengine von Microsoft Teams lese, fällt mir ein, dass ich immer noch nicht alle meine im letzten Sommer durchgeführten umfangreichen Interviews für mein Forschungsprojekt neu transkribiert habe. Genau wie Marlene habe ich diese Interviews mit Microsoft Teams geführt und dabei die integrierte Aufzeichnung und Transkription genutzt. Die Funktion ist auf den ersten Blick und für viele Fälle wirklich sehr nützlich. Wenn man allerdings auf eine gewisse Akkuratheit angewiesen ist, muss man die Transkription später entweder sehr genau manuell korrigieren oder einfach in einem besseren Tool nochmal machen lassen.

Die Gründe dafür liegen in der merkwürdigen Angewohnheit von Teams, bei (leider sehr häufig vorkommenden) nicht vollständig erkannten Wörtern oder Silben anscheinend den gesamten Satz nochmal neu auf vermeintliche Sinnhaftigkeit zu prüfen. Nein, meine Gesprächspartnerin hat nicht Blumenjournalismus studiert und Sätze wie "Das ist eine." sind an der Tagesordnung. Insgesamt lesen sich die Transkripte, als hätten alle meine Gesprächspartnerinnen völlig sinnloses Zeug gestammelt. Man kann das gut bei der Live-Transkription beobachten, wenn ein falsch verstandenes Wort am Satzende plötzlich den bisher bereits korrekt niedergeschriebenen Satz verändert, sodass er in sich konsistent mit dem falsch verstandenen Wort ist, nur leider oft das Gegenteil von dem aussagt, was eigentlich gesagt wurde. Oder gerne auch mal etwas im aktuellen Kontext überhaupt nicht Sinnhaftes, der Korrekturkontext reicht also nicht nennenswert weit in die Vergangenheit zurück, oder tut das, aber das System fällt dann auf die eigenen Sinnverdrehungen herein und verschlimmert sich dann über die Zeit sogar noch. So genau will ich das nicht wissen, das dürfen gerne andere erforschen.

Ich habe Perplexity.ai gefragt, welche Engine Microsoft hier verwendet, weil ich ähnliche sinnentstellende Fehler in dieser Dichte von meinen kläglichen Versuchen mit der lokal ausgeführten Speech-to-Text-Engine Whisper kenne, jedoch bekam ich folgende unkritisch aus dem Microsoftschen Marketing-Sprech übernommene Antwort:

Tatsächlich nutzt Microsoft seine eigene fortschrittliche Spracherkennungstechnologie, die Teil der Azure AI Services ist [Quellenlink]. Diese Technologie basiert auf jahrelanger Forschung und Entwicklung von Microsoft im Bereich der künstlichen Intelligenz und Spracherkennung.

Wenn sinnentstellende Änderungen ganzer Sätze hin zu plausiblen und in sich konsistenten, aber leider inhaltlich nicht zutreffenden Variationen Fortschritt sein soll, verzichte ich lieber. Zudem ist auch nicht vorgesehen, dass Teams bei Unklarheiten eine Markierung hinterlässt, sodass man leider letztlich das gesamte Interview nochmal selber anhören und gleichzeitig kritisch mitlesen muss, um diese Fehler zu entdecken. Das ist bei der hohen Fehlerdichte allemal für meine Forschungsdaten indiskutabel. Aber auch für die eigentlich beworbene Funktion der Liveuntertitelung geschäftlicher Meetings – gerne mit einer automatischen Übersetzung garniert – kann ich mir vorstellen, dass hier eine vermeintliche Verhandlungssicherheit suggeriert wird, die am Ende nicht eingehalten werden kann.

Im Ergebnis lade ich dann die Videos in Adobe Premiere und führe dort eine lokale Transkription durch. Die ist schon ohne Nachbearbeitung um Klassen besser als das, was aus Teams herausgefallen ist. Viel besser ist aber der Workflow zur Korrektur, denn Premiere markiert Unklarheiten freundlicherweise, sodass man schnell und fokussiert da durch springen kann, wenn man zeitlich knapp aufgestellt ist.

Und das beste daran ist auch noch, dass die Transkription tatsächlich lokal durchgeführt wird, was für mein erstes Video von einer guten Stunde Länge bei mir keine 10 Minuten gedauert hat. Dabei verlassen meine Forschungsdaten meinen Einflussbereich nicht, für die ich – von Microsoft-Servern in Irland explizit abgesehen – Vertraulichkeit zugesagt hatte. Das gebietet aus meiner Sicht schon die sogenannte gute wissenschaftliche Praxis.

Ich bin ohnehin erstaunt, wie viele Kolleginnen und Kollegen aus der Forschung völlig sorglos und oft unter klarer Missachtung von Datenschutzregeln ihre Forschungsdaten in irgendwelche Cloud-KI-Systeme einspeisen, weil die ja so nützlich sind. Mal von dem kleinen Problemchen abgesehen, dass deren Ergebnisse alle schlicht nicht zuverlässig und vertrauenswürdig sind. Und dem anderen kleinen Problemchen, dass die Daten nun in eine nicht überschaubare Riesenmaschine eingespeist wurden, wo man jegliche Kontrolle an der Tür abgibt. Gute wissenschaftliche Praxis, wissenschon. 🙈

(Gregor Meyer)

[samarthdas]

Exploring DeepSeek and the Best AI Certifications to Boost Your Career

Understanding DeepSeek: A Rising AI Powerhouse

DeepSeek is an emerging player in the artificial intelligence (AI) landscape, specializing in large language models (LLMs) and cutting-edge AI research. As a significant competitor to OpenAI, Google DeepMind, and Anthropic, DeepSeek is pushing the boundaries of AI by developing powerful models tailored for natural language processing, generative AI, and real-world business applications.

With the AI revolution reshaping industries, professionals and students alike must stay ahead by acquiring recognized certifications that validate their skills and knowledge in AI, machine learning, and data science.

Why AI Certifications Matter

AI certifications offer several advantages, such as:

Enhanced Career Opportunities: Certifications validate your expertise and make you more attractive to employers.

Skill Development: Structured courses ensure you gain hands-on experience with AI tools and frameworks.

Higher Salary Potential: AI professionals with recognized certifications often command higher salaries than non-certified peers.

Networking Opportunities: Many AI certification programs connect you with industry experts and like-minded professionals.

Top AI Certifications to Consider

If you are looking to break into AI or upskill, consider the following AI certifications:

1. AICerts – AI Certification Authority

AICerts is a recognized certification body specializing in AI, machine learning, and data science.

It offers industry-recognized credentials that validate your AI proficiency.

Suitable for both beginners and advanced professionals.

2. Google Professional Machine Learning Engineer

Offered by Google Cloud, this certification demonstrates expertise in designing, building, and productionizing machine learning models.

Best for those who work with TensorFlow and Google Cloud AI tools.

3. IBM AI Engineering Professional Certificate

Covers deep learning, machine learning, and AI concepts.

Hands-on projects with TensorFlow, PyTorch, and SciKit-Learn.

4. Microsoft Certified: Azure AI Engineer Associate

Designed for professionals using Azure AI services to develop AI solutions.

Covers cognitive services, machine learning models, and NLP applications.

5. DeepLearning.AI TensorFlow Developer Certificate

Best for those looking to specialize in TensorFlow-based AI development.

Ideal for deep learning practitioners.

6. AWS Certified Machine Learning – Specialty

Focuses on AI and ML applications in AWS environments.

Includes model tuning, data engineering, and deep learning concepts.

7. MIT Professional Certificate in Machine Learning & Artificial Intelligence

A rigorous program by MIT covering AI fundamentals, neural networks, and deep learning.

Ideal for professionals aiming for academic and research-based AI careers.

Choosing the Right AI Certification

Selecting the right certification depends on your career goals, experience level, and preferred AI ecosystem (Google Cloud, AWS, or Azure). If you are a beginner, starting with AICerts, IBM, or DeepLearning.AI is recommended. For professionals looking for specialization, cloud-based AI certifications like Google, AWS, or Microsoft are ideal.

With AI shaping the future, staying certified and skilled will give you a competitive edge in the job market. Invest in your learning today and take your AI career to the next leve

[ansibytecodellp]

Unlock Business Innovation with Expert Azure Consulting Services

Unlock innovation and growth with expert Azure consulting services for scalable, secure, and cost-effective cloud solutions. Please visit:- https://ansibytecode.com/unlock-business-innovation-with-expert-azure-consulting-services/

[atcuality1]

Future-Proof Your Business with Innovative AR Solutions - Atcuality

The demand for innovative digital experiences is skyrocketing — is your business ready? At Atcuality, we help you stay ahead of the curve with bespoke augmented reality development services tailored to your industry needs. Whether launching a new product, enhancing customer service, or streamlining employee training, our AR solutions transform how users engage with your brand. We combine creative storytelling with technical excellence to deliver apps that delight and inform. Ready to elevate your business with immersive technology? Let’s collaborate and bring your vision to life with AR solutions that drive measurable impact.

[jcmarchi]

10 Best Plugins For Adding AI to Your WordPress Website – Speckyboy

New Post has been published on https://thedigitalinsider.com/10-best-plugins-for-adding-ai-to-your-wordpress-website-speckyboy/

10 Best Plugins For Adding AI to Your WordPress Website – Speckyboy

Artificial intelligence (AI) has entered the mainstream. We’re finding more and more products that integrate with the technology. WordPress plugins are a prime example.

These plugins add a variety of AI-powered features to websites. Some are there to spur creativity, while others are all about saving you time. The trend is helping to spawn new products and enhance existing ones.

AI is rapidly changing the WordPress ecosystem. So, we wanted to explore the different ways plugins are using it. Will they make our lives easier? Will they help users? Let’s find out!

Here’s a collection of WordPress plugins that, in one way or another, add artificial intelligence to your website. Some are longtime favorites, while others are upstarts breaking into the ecosystem. We hope you find them useful!

Rank Math is one of many SEO plugins that integrate AI into their product. The difference here is in the depth of the AI tools offered. There are options for generating entire blog posts, outlines, SEO titles and descriptions, fixing grammar mistakes, and more.

You’ll need a free account to access the various AI features. The benefit is making SEO easier for novices and experts alike. Generating various types of content provides a solid foundation. You’ll have more time to focus on other areas of your site.

Automattic’s do-it-all suite offers Jetpack AI Assistant, allowing you to generate various types of content. For example, the tool will generate a featured image for your blog post based on its content or a custom prompt.

In addition, it will help improve grammar, rewrite your content, or generate an entire page. There’s a free tier with 20 monthly requests, while paid plans offer higher limits.

Here’s an option that specifically targets WooCommerce stores. Kestrel AI is a commercial plugin that generates or optimizes product descriptions, replies to customer reviews, and adds order notes.

It places an icon on relevant areas of the screen. Click it, and the assistant will help you perform the noted tasks. The plugin works with OpenAI and includes placeholders that pull the correct product data.

Here’s proof that AI integrations don’t need to overwhelm users. OptinMonster is a plugin that creates popups and opt-in forms to generate leads. The plugin features a “smart optimization” tool that uses AI to improve the content of your popup. It doesn’t generate text for you. Rather, it seeks to improve what’s already there. It’s a subtle-but-helpful use case.

AI-powered chatbots are on the rise. They aim to answer user questions and help them find relevant content. WPBot uses services like ChatGPT and DialogFlow to provide a “live” chat with a virtual assistant.

The plugin’s pro version can also train AI on your website’s content, leading to better answers and more efficient resource usage. Other features include adding custom text responses, an option for users to contact you, and multi-language support.

AI Engine is a suite of tools for adding artificial intelligence to your WordPress website. Install the plugin, insert your OpenAI API key, and add features.

What sort of features? You can add a chatbot, generate images and text, translate content, and run various tasks inside WordPress. The plugin will also help you keep track of API usage, an important feature, as the costs can add up.

You can use Uncanny Automator to link all sorts of website activities together. For example, these “triggers” can send a customer a follow-up email a few days after they order a product. There are integrations with several popular plugins.

It also ties in with OpenAI, allowing for automated blog post summaries, social media posts, featured images, translations, and more. It’s a natural extension of what the plugin already does.

Categorizing and tagging content isn’t always easy. The goal is to create a logical structure for your content. That’s better for SEO and users. TaxoPress is a taxonomy management plugin that helps you create and manage that structure.

The pro version offers an AI integration (OpenAI, IBM Watson) that automatically creates and determines the best taxonomies for your content. It removes an often frustrating step from your content creation workflow.

AI Power is notable for its compatibility with several large language models (LLM). You can connect the plugin to OpenAI, DeepSeek, Claude, Gemini, Azure, and more. Choose your model and take advantage of an all-in-one collection of website tools.

You can optimize your site’s SEO, bulk-generate content, create a chatbot, use text-to-speech capabilities, or generate images. You can also train a model on your website’s content for a more personalized experience. There are free and pro versions available.

Sensei LMS is a plugin for building online courses. The pro version offers a few handy tools powered by AI. First, an auto Quiz Generator will create questions based on your course’s content. The second is a Tutor AI block available through the Sensei Interactive Blocks add-on.

It adds a chatbot that can answer user questions regarding your course content. The block isn’t limited to Sensei – it’s also compatible with other LMS plugins. It’s an example of how AI can improve the online learning experience.

Bring the Power of AI to Your Website

We’re still in the early days of AI. Thus, the plugins in this roundup are only scratching the surface of what may come down the road. Still, they offer both convenience and utility.

The key is finding options that fit your needs. You may notice that there is some overlap in what these plugins do. For instance, several plugins generate text and images. The odds are you don’t need more than one of these for your website.

With that, consider how you can use AI to improve your website. Perhaps you’re all about streamlining your workflow or improving the front end for users. There are good options here either way.

What will the future bring? It’s safe to say AI will have tighter integrations with WordPress and will be able to accomplish more useful tasks. We can’t wait to see what’s next!

More Essential Free WordPress Plugins

Related Topics

[itcareerblogs]

Top 10 In- Demand Tech Jobs in 2025

Technology is growing faster than ever, and so is the need for skilled professionals in the field. From artificial intelligence to cloud computing, businesses are looking for experts who can keep up with the latest advancements. These tech jobs not only pay well but also offer great career growth and exciting challenges.

In this blog, we’ll look at the top 10 tech jobs that are in high demand today. Whether you’re starting your career or thinking of learning new skills, these jobs can help you plan a bright future in the tech world.

1. AI and Machine Learning Specialists

Artificial Intelligence (AI)  and Machine Learning are changing the game by helping machines learn and improve on their own without needing step-by-step instructions. They’re being used in many areas, like chatbots, spotting fraud, and predicting trends.

Key Skills: Python, TensorFlow, PyTorch, data analysis, deep learning, and natural language processing (NLP).

Industries Hiring: Healthcare, finance, retail, and manufacturing.

Career Tip: Keep up with AI and machine learning by working on projects and getting an AI certification. Joining AI hackathons helps you learn and meet others in the field.

2. Data Scientists

Data scientists work with large sets of data to find patterns, trends, and useful insights that help businesses make smart decisions. They play a key role in everything from personalized marketing to predicting health outcomes.

Key Skills: Data visualization, statistical analysis, R, Python, SQL, and data mining.

Industries Hiring: E-commerce, telecommunications, and pharmaceuticals.

Career Tip: Work with real-world data and build a strong portfolio to showcase your skills. Earning certifications in data science tools can help you stand out.

3. Cloud Computing Engineers: These professionals create and manage cloud systems that allow businesses to store data and run apps without needing physical servers, making operations more efficient.

Key Skills: AWS, Azure, Google Cloud Platform (GCP), DevOps, and containerization (Docker, Kubernetes).

Industries Hiring: IT services, startups, and enterprises undergoing digital transformation.

Career Tip: Get certified in cloud platforms like AWS (e.g., AWS Certified Solutions Architect).

4. Cybersecurity Experts

Cybersecurity professionals protect companies from data breaches, malware, and other online threats. As remote work grows, keeping digital information safe is more crucial than ever.

Key Skills: Ethical hacking, penetration testing, risk management, and cybersecurity tools.

Industries Hiring: Banking, IT, and government agencies.

Career Tip: Stay updated on new cybersecurity threats and trends. Certifications like CEH (Certified Ethical Hacker) or CISSP (Certified Information Systems Security Professional) can help you advance in your career.

5. Full-Stack Developers

Full-stack developers are skilled programmers who can work on both the front-end (what users see) and the back-end (server and database) of web applications.

Key Skills: JavaScript, React, Node.js, HTML/CSS, and APIs.

Industries Hiring: Tech startups, e-commerce, and digital media.

Career Tip: Create a strong GitHub profile with projects that highlight your full-stack skills. Learn popular frameworks like React Native to expand into mobile app development.

6. DevOps Engineers

DevOps engineers help make software faster and more reliable by connecting development and operations teams. They streamline the process for quicker deployments.

Key Skills: CI/CD pipelines, automation tools, scripting, and system administration.

Industries Hiring: SaaS companies, cloud service providers, and enterprise IT.

Career Tip: Earn key tools like Jenkins, Ansible, and Kubernetes, and develop scripting skills in languages like Bash or Python. Earning a DevOps certification is a plus and can enhance your expertise in the field.

7. Blockchain Developers

They build secure, transparent, and unchangeable systems. Blockchain is not just for cryptocurrencies; it’s also used in tracking supply chains, managing healthcare records, and even in voting systems.

Key Skills: Solidity, Ethereum, smart contracts, cryptography, and DApp development.

Industries Hiring: Fintech, logistics, and healthcare.

Career Tip: Create and share your own blockchain projects to show your skills. Joining blockchain communities can help you learn more and connect with others in the field.

8. Robotics Engineers

Robotics engineers design, build, and program robots to do tasks faster or safer than humans. Their work is especially important in industries like manufacturing and healthcare.

Key Skills: Programming (C++, Python), robotics process automation (RPA), and mechanical engineering.

Industries Hiring: Automotive, healthcare, and logistics.

Career Tip: Stay updated on new trends like self-driving cars and AI in robotics.

9. Internet of Things (IoT) Specialists

IoT specialists work on systems that connect devices to the internet, allowing them to communicate and be controlled easily. This is crucial for creating smart cities, homes, and industries.

Key Skills: Embedded systems, wireless communication protocols, data analytics, and IoT platforms.

Industries Hiring: Consumer electronics, automotive, and smart city projects.

Career Tip: Create IoT prototypes and learn to use platforms like AWS IoT or Microsoft Azure IoT. Stay updated on 5G technology and edge computing trends.

10. Product Managers

Product managers oversee the development of products, from idea to launch, making sure they are both technically possible and meet market demands. They connect technical teams with business stakeholders.

Key Skills: Agile methodologies, market research, UX design, and project management.

Industries Hiring: Software development, e-commerce, and SaaS companies.

Career Tip: Work on improving your communication and leadership skills. Getting certifications like PMP (Project Management Professional) or CSPO (Certified Scrum Product Owner) can help you advance.

Importance of Upskilling in the Tech Industry

Stay Up-to-Date: Technology changes fast, and learning new skills helps you keep up with the latest trends and tools.

Grow in Your Career: By learning new skills, you open doors to better job opportunities and promotions.

Earn a Higher Salary: The more skills you have, the more valuable you are to employers, which can lead to higher-paying jobs.

Feel More Confident: Learning new things makes you feel more prepared and ready to take on tougher tasks.

Adapt to Changes: Technology keeps evolving, and upskilling helps you stay flexible and ready for any new changes in the industry.

Top Companies Hiring for These Roles

Global Tech Giants: Google, Microsoft, Amazon, and IBM.

Startups: Fintech, health tech, and AI-based startups are often at the forefront of innovation.

Consulting Firms: Companies like Accenture, Deloitte, and PwC increasingly seek tech talent.

In conclusion,  the tech world is constantly changing, and staying updated is key to having a successful career. In 2025, jobs in fields like AI, cybersecurity, data science, and software development will be in high demand. By learning the right skills and keeping up with new trends, you can prepare yourself for these exciting roles. Whether you're just starting or looking to improve your skills, the tech industry offers many opportunities for growth and success.

[talentfolder]

The Future of Jobs in IT: Which Skills You Should Learn.

With changes in the industries due to technological changes, the demand for IT professionals will be in a constant evolution mode. New technologies such as automation, artificial intelligence, and cloud computing are increasingly being integrated into core business operations, which will soon make jobs in IT not just about coding but about mastering new technologies and developing versatile skills. Here, we cover what is waiting to take over the IT landscape and how you can prepare for this future.

1. Artificial Intelligence (AI) and Machine Learning (ML):

AI and ML are the things that are currently revolutionizing industries by making machines learn from data, automate processes, and predict outcomes. Thus, jobs for the future will be very much centered around these fields of AI and ML, and the professionals can expect to get work as AI engineers, data scientists, and automation specialists.

2. Cloud Computing:

With all operations now moving online, architects, developers, and security experts are in high demand for cloud work. It is very important to have skills on platforms such as AWS, Microsoft Azure, and Google Cloud for those who wish to work on cloud infrastructure and services.

3. Cybersecurity:

As dependence on digital mediums continues to increase, so must cybersecurity measures. Cybersecurity, ethical hacking, and network security would be skills everyone must use to protect data and systems from all the continuous threats.

4. Data Science and Analytics:

As they say, the new oil in this era is data. Therefore, organisations require professionals who would be able to analyze humongous datasets and infer actionable insights. Data science, data engineering, as well as advanced analytics tools, will be your cornucopia for thriving industries in the near future.

5. DevOps and Automation:

DevOps engineers are the ones who ensure that continuous integration and deployment work as smoothly and automatically as possible. Your knowledge of the business/operations will orient you well on that terrain, depending on how that applies to your needs.

Conclusion

IT job prospects rely heavily on AI, cloud computing, cybersecurity, and automation. It means that IT professionals must constantly innovate and update their skills to stay in competition. Whether an expert with years of experience or a newcomer, focusing on the following in-demand skills will gather success in this diverse land of IT evolution.

You might also like: How to crack interview in MNC IT

[apcseo]

Meta and Microsoft Unveil Llama 2: An Open-Source, Versatile AI Language Model

In a groundbreaking collaboration, Meta and Microsoft have unleashed Llama 2, a powerful large language AI model designed to revolutionise the AI landscape. This sophisticated language model is available for public use, free of charge, and boasts exceptional versatility. In a strategic move to enhance accessibility and foster innovation, Meta has shared the code for Llama 2, allowing researchers to explore novel approaches for refining large language models.

Llama 2 is no ordinary AI model. Its unparalleled versatility allows it to cater to diverse use cases, making it an ideal tool for established businesses, startups, lone operators, and researchers alike. Unlike fine-tuned models that are engineered for specific tasks, Llama 2’s adaptability enables developers to explore its vast potential in various applications.

Microsoft, as a key partner in this venture, will integrate Llama 2 into its cloud computing platform, Azure, and its renowned operating system, Windows. This strategic collaboration is a testament to Microsoft’s commitment to supporting open and frontier models, as well as their dedication to advancing AI technology. Notably, Llama 2 will also be available on other platforms, such as AWS and Hugging Face, providing developers with the freedom to choose the environment that suits their needs best.

During the Microsoft Inspire event, the company announced plans to embed Llama 2’s AI tools into its 360 platform, further streamlining the integration process for developers. This move is set to open new possibilities for innovative AI solutions and elevate user experiences across various industries.

Meta’s collaboration with Qualcomm promises an exciting future for Llama 2. The companies are working together to bring Llama 2 to laptops, phones, and headsets, with plans for implementation starting next year. This expansion into new devices demonstrates Meta’s dedication to making Llama 2’s capabilities more accessible to users on-the-go.

Llama 2’s prowess is partly attributed to its extensive pretraining on publicly available online data sources, including Llama-2-chat. Leveraging publicly available instruction datasets and over 1 million human annotations, Meta has honed Llama 2’s understanding and responsiveness to human language.

In a Facebook post, Mark Zuckerberg, the visionary behind Meta, highlighted the significance of open-source technology. He firmly believes that an open ecosystem fosters innovation by empowering a broader community of developers to build with new technology. With the release of Llama 2’s code, Meta is exemplifying this belief, creating opportunities for collective progress and inspiring the AI community.

The launch of Llama 2 marks a pivotal moment in the AI race, as Meta and Microsoft collaborate to offer a highly versatile and accessible AI language model. With its open-source approach and availability on multiple platforms, Llama 2 invites developers and researchers to explore its vast potential across various applications. As the ecosystem expands, driven by Meta’s vision for openness and collaboration, we can look forward to witnessing groundbreaking AI solutions that will shape the future of technology.

This post was originally published on: Apppl Combine

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Discover the Future: How Artificial Intelligence Will Transform Business Operations in 2024!

As the business world continues to evolve, Artificial Intelligence (AI) is at the forefront of innovation, reshaping operations and opening new avenues for growth. In our latest blog, we delve into the profound impact AI has had on business landscapes, from revolutionizing operations to creating unprecedented growth opportunities.

In 2024, the influence of AI on business operations is set to soar to new heights. From streamlined processes to enhanced efficiency, AI is no longer just a trend but a critical driver of change. Our blog explores the key trends, industries poised for transformation, and the emergence of AI as a service.

Join us as we uncover the top AI trends for 2024, including responsible AI development, simplified software development, and the next generation of generative AI. We'll also delve into the industries set to benefit the most from AI technology, from healthcare and finance to cybersecurity and mining.

Learn about AI as a service and discover the top companies leading the charge in AI innovation, including Microsoft Azure AI Services. Explore real-world case studies, such as Starbucks' advanced AI-driven recommendation engine, and discover how businesses are leveraging AI to gain a competitive edge.

Whether you're a seasoned AI enthusiast or new to the world of artificial intelligence, our blog has something for everyone. Stay ahead of the curve and unlock the full potential of AI in your business operations.

Contact us at ECF Data to learn more about how AI and machine learning services can enhance your applications and services. Don't miss out on the future – dive into the world of AI with us today!"

https://www.ecfdata.com/impact-of-artificial-intelligence-on-business-operations-in-2024/

[azurecertifications1]

Navigating the Future as Azure Certifications in 2024

In the ever-evolving landscape of cloud technology, Azure certifications continue to be instrumental in shaping the careers of IT professionals and influencing the strategies of organizations worldwide. As we step into 2024, it's essential to explore the current trends, advancements, and the transformative impact that Azure certifications are poised to have in the coming year.

The Continued Relevance of Azure Certifications

Azure certifications are not mere credentials; they are gateways to expertise and recognition in the dynamic world of cloud computing. As businesses increasingly rely on cloud solutions, the demand for skilled Azure professionals continues to grow. In 2024, Azure certifications stand as key assets, ensuring that professionals possess the knowledge and skills needed to navigate the complexities of cloud technology effectively.

Azure Certification Paths in 2024

Azure certifications are structured into comprehensive paths, catering to individuals at various stages of their cloud journey. From foundational certifications for beginners to advanced tracks tailored for specialized roles like Azure Solutions Architect or Azure DevOps Engineer, the certification paths have evolved to align with the diverse needs of IT professionals. The year 2024 sees an increased focus on role-based certifications, allowing individuals to hone specific skills relevant to their job roles.

Key Benefits of Azure Certifications in 2024

Career Advancement:

Azure certifications are a proven catalyst for career growth. In 2024, as businesses seek skilled professionals, holding an Azure certification becomes a valuable asset for those aiming to advance their careers in cloud technology.

Industry Recognition:

Globally recognized, Azure certifications validate one's expertise in Microsoft's cloud services. Employers across industries acknowledge and value these certifications as a mark of proficiency in handling Azure-based solutions.

Continuous Learning Culture:

In 2024, Azure certifications are not just about achieving a one-time qualification; they embody a commitment to continuous learning. Microsoft regularly updates its certification paths to align with emerging technologies, encouraging professionals to stay abreast of the latest industry trends.

Increased Employability:

As the job market becomes more competitive, possessing Azure certifications enhances employability. In 2024, businesses are actively seeking candidates with practical Azure skills, making certification holders highly sought after.

Emerging Trends in Azure Certifications for 2024

Micro-Certifications:

2024 witnesses a rise in micro-certifications, focusing on specific, targeted skills. These bite-sized certifications allow professionals to demonstrate expertise in niche areas, providing a more granular approach to skill validation.

Scenario-Based Assessments:

Azure certification exams in 2024 are increasingly incorporating scenario-based questions. This shift aims to evaluate not just theoretical knowledge but the ability to apply that knowledge in practical, real-world situations.

Integration of AI and ML:

With the growing importance of artificial intelligence (AI) and machine learning (ML), Azure certifications in 2024 are placing a greater emphasis on these technologies. Certification tracks dedicated to AI and ML applications within Azure are gaining prominence.

Focus on Security:

In response to the heightened concern for cybersecurity, Azure certifications in 2024 place a significant focus on security-related tracks. Azure Security Engineer certifications are expected to be in high demand as organizations prioritize securing their cloud environments.

Tips for Success in Azure Certifications 2024

Stay Updated: Given the evolving nature of technology, staying updated with the latest Azure services and features is crucial. Regularly check Microsoft's official documentation and announcements for any updates.

Hands-On Experience: Practical experience is invaluable. Utilize Azure's sandbox environments, participate in real-world projects, and engage with the Azure portal to reinforce your theoretical knowledge.

Leverage Learning Resources: Microsoft provides a wealth of learning resources, including online courses, documentation, and practice exams. Take advantage of these resources to supplement your preparation.

Join the Azure Community: Engage with the Azure community through forums, webinars, and social media. Networking with professionals in the field can provide insights, tips, and support during your certification journey.

Conclusion

As we venture into 2024, Azure certifications stand as pivotal tools for IT professionals aiming to thrive in the dynamic world of cloud technology. Whether you are starting your journey with foundational certifications or advancing your skills with specialized tracks, Azure certifications in 2024 represent more than just qualifications – they symbolize a commitment to excellence, continuous learning, and a future shaped by innovation in the cloud. Embrace the opportunities, stay ahead of the curve, and let Azure certifications be your guide to success in the ever-evolving realm of cloud proficiency.

Frequently Asked Questions (FAQs)

What are the new Azure certifications introduced in 2024?

As of 2024, Microsoft has introduced several new certifications to align with emerging technologies. Notable additions include specialized tracks focusing on AI, ML, and advanced security.

How has the exam format changed for 2024?

The exam format in 2024 has evolved to include more scenario-based questions. This change is aimed at assessing practical application skills in addition to theoretical knowledge.

Are there any prerequisites for Azure certifications in 2024?

Prerequisites vary based on the specific certification. While some foundational certifications may have no prerequisites, advanced certifications often require prior experience or the completion of specific lower-level certifications.

Can I still take exams for older Azure certifications in 2024?

Microsoft often provides a transition period for older certifications, allowing candidates to complete them even as new certifications are introduced. However, it's advisable to check Microsoft's official documentation for specific details.

How frequently are Azure certifications updated?

Azure certifications are regularly updated to stay aligned with the latest technologies and industry trends. Microsoft recommends that candidates stay informed about updates through official communication channels.

[1o1percentmilk]

webdev is full of advertising, hardware engineering cant get u smaller chips anymore, software engineering is unoptimized, data science steals people's data and privacy, AI and ML steal jobs, systems engineering is too difficult, database architecture is boring, cloud engineering is dominated by AWS and Azure which are evil, UX/UI design is a form of torture for software engineers, people dont hire software and quality assurance testers anymore bc we have a/b testing and overnight patches now, computer graphics gets you the same visual effect as stuff from 2010, game development pays peanuts, mobile development is oversaturated, robots are being used for the military, project management isn't a real job, crypto is a fucking joke, and dont even look at theoretical computer science or you'll lose 6 years to a phD and alcoholism. do cybersecurity instead.