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Rolls-Royce’s Ridiculous Ride

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Rolls-Royce Unveils Exclusive Miniature Home Decor – The Cameo

Looking for stocking fillers? Then I have great news. Rolls-Royce is branching out into home decor.

The Unique Design

The Cameo, "an exquisite miniature sculpture" that captures the "essence of Rolls-Royce motor cars in their most elegant form". It’s the most beautiful (and ridiculous) toy car ever made. The design is intended as a homage to early open-tops while the process is intended to parallel the way cars are handcrafted at Goodwood today. That means you have to build it yourself by fitting two sections together to create the classic two-tone finish.

Materials and Details

The oak body magnetically attaches to the aluminium chassis, "emulating a seminal stage in the Home of Rolls-Royce assembly journey". This is known as the ‘marriage’, when the body is mounted to the drivetrain. Next, the 3D-printed interior has to be installed. This is painted in Rolls-Royce’s signature Grace White hue.

Additional Features

Inside, the Cameo sports 3D-printed components trimmed in the same Arctic White leather as in full-scale Rolls-Royce cars. It even comes with a driver wearing a white cap. Yohan Benchetrit, from Bespoke Design at Rolls-Royce, said: “Creating Cameo was a wonderful creative challenge. The purity and abstract nature of the form empowered us to distill the fundamental principles of Rolls-Royce styling into a playful sculptural piece. Cameo is crafted to captivate and delight, enabling our clients to enjoy the marque’s peerless craftsmanship and artistry in their own homes.”

Pricing

The price? Just $5,500 from Rolls-Royce showrooms and Private Office boutiques. That actually doesn’t sound bad considering how much you can pay for a Lego Marvel logo. Alternatively, you could pick up one of the best 3D printers and design your own miniature stocking filler.

Conclusion

The Cameo is an exquisite and unique miniature home decor item that captures the essence of Rolls-Royce. With its attention to detail, luxurious materials, and playful design, it is sure to captivate and delight.

FAQs

Q: What is the Cameo?

A: The Cameo is an exquisite miniature sculpture that captures the essence of Rolls-Royce motor cars in their most elegant form.

Q: What materials are used to make the Cameo?

A: The oak body magnetically attaches to the aluminium chassis, with 3D-printed interior components trimmed in the same Arctic White leather as in full-scale Rolls-Royce cars.

Q: Can I customize the Cameo?

A: The Cameo is a one-of-a-kind design, but Rolls-Royce offers bespoke design services to create customized pieces.

Q: Where can I buy the Cameo?

A: The Cameo is available at Rolls-Royce showrooms and Private Office boutiques.

Q: Is the price reasonable?

A: The price of $5,500 may seem high, but it’s a unique and exclusive piece that showcases Rolls-Royce’s craftsmanship and artistry.

AI and Multimodal Learning: Future Horizons in 2025

Reflections on the Education Landscape in 2024

Key Takeaways

  • The integration of artificial intelligence has elevated learning experiences, but educators remain irreplaceable.
  • Students desire engaging, personalized learning experiences that cater to diverse learning styles.
  • The democratization of education is becoming a reality through multimodal learning resources and online programs.

Lessons Learned in 2024

From STEM to general education, the lessons learned through student and instructor feedback have been universal. Students do not want to be fed answers, and educators must ensure their students are learning, not cheating. The most profound lesson has been the reaffirmation of the irreplaceable role educators play in the learning process.

The Rise of Multimodal Learning

The rise of short-form videos and multimodal learning resources has shown that students benefit immensely when we cater to diverse learning styles. By incorporating visual aids, interactive elements, and audio, education is becoming more accessible and engaging.

The Future of Learning

I believe the future of learning depends on a hybrid approach, combining unique human teaching approaches with the versatility of AI. Educators bring nuance, empathy, and context that technology alone cannot provide. This collaboration must be instrumental in shaping content, ensuring it is not only pedagogically sound but also resonates with students on a personal level.

Trends to Watch in 2025

  • Expansion of Multimodal Learning Experiences: Students will increasingly expect learning materials that engage multiple senses. Integrating short-form videos created and vetted by actual educators, interactive simulations, and audio content will cater to different learning preferences, making education more inclusive and effective.
  • Deepening Collaboration with Educators: Teachers will play an even more critical role in developing and curating multimodal content. Their expertise ensures that the integration of technology enhances, rather than detracts from, the learning experience.
  • Leveraging Audio Models for Accessible Learning: Audio learning will become a significant component of education. By utilizing advanced audio models, we can provide students with the flexibility to learn anytime, anywhere, accommodating those who prefer auditory learning or need to learn while multitasking.
  • Hybrid Learning Models Becoming the Norm: Blended learning environments that combine in-person instruction with AI-driven, multimedia-rich online resources will become standard. This approach acknowledges that while technology can significantly enhance learning, the human touch remains essential.
  • AI-Powered Personalization Enhanced by Multimedia: AI will deliver personalized learning paths enriched with various content formats. By adapting to individual learning styles—whether visual, auditory, or kinesthetic—we can make education more engaging and effective.

Conclusion

As we step into 2025, I am more optimistic than ever about the future of education. By embracing a hybrid approach that values both cutting-edge technology and the irreplaceable human touch, we can create learning experiences that are more engaging, personalized, and accessible than ever before. The democratization of learning is closer than ever thanks to the tools being developed alongside the feedback from students and expertise of teachers.

Frequently Asked Questions

Q: What is the role of educators in the future of education?
A: Educators will play a crucial role in developing and curating multimodal content, ensuring that technology enhances, rather than detracts from, the learning experience.

Q: How will AI impact the future of education?
A: AI will deliver personalized learning paths enriched with various content formats, adapting to individual learning styles and making education more engaging and effective.

Q: What is the significance of multimodal learning in education?
A: Multimodal learning will cater to diverse learning preferences, making education more inclusive and effective by incorporating visual aids, interactive elements, and audio content.

Google Unveils AI Tool to Break Down Enterprise Silos

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Google Agentspace: Unlocking Enterprise Expertise with Agentic AI

Data: The Key to Unlocking Enterprise Expertise

Google’s Agentspace is a new offering that promises to revolutionize how enterprises access and utilize their data. By combining Google’s powerful search capabilities with agentic AI, Agentspace allows employees to access and leverage critical insights from across the organization, regardless of where the data is hosted.

Agentic AI: The Future of Search

Agentic AI is a user interface with "action-capabilities" that combines situational awareness, planning, and action. With Agentspace, this technology is integrated with Google Search, enabling employees to find and leverage critical insights with unprecedented ease.

Security Considerations

Agentspace uses Google’s Secure by Design architecture, which provides granular control over data and who can use it. This includes role-based access control, virtual private cloud service controls, identity and access management integration, and customer-managed encryption keys.

Data Silos No More

Agentspace allows employees to access and combine data from across the organization, regardless of where it’s hosted. This includes Confluence, Google Drive, Jira, Microsoft Sharepoint, and ServiceNow, as well as other data silos. By combining these silos into a single, searchable repository, Agentspace enables employees to access the information they need to make informed decisions.

NotebookLM: Processing Collections of Documents

NotebookLM is a tool for processing collections of documents, such as articles, reports, and other documents. Users can upload batches of documents to individual folders called Notebooks, and then use Google Gemini to perform AI-enabled tasks on those notebooks, such as summarizing the information or synthesizing it in various ways.

Revolutionizing Enterprise Search

According to Nokia’s Chief Digital Officer, Alan Triggs, "Google Agentspace has the potential to revolutionize how our teams across Nokia find and leverage critical insights." By unifying knowledge resources, providing AI-powered assistance, and automating workflows, Agentspace enables employees to reduce time spent searching for information, make faster decisions, and improve collaboration and productivity.

Conclusion

Google Agentspace is a game-changing offering that promises to revolutionize enterprise search and access to critical insights. By combining agentic AI with Google Search and data silos, Agentspace enables employees to access the information they need to make informed decisions. Whether you’re a business leader, IT professional, or simply someone looking to streamline your workflow, Agentspace is an offering worth exploring.

FAQs

Q: What is Google Agentspace?
A: Google Agentspace is a new offering that combines Google Search with agentic AI to enable employees to access and leverage critical insights from across the organization.

Q: What is agentic AI?
A: Agentic AI is a user interface with "action-capabilities" that combines situational awareness, planning, and action.

Q: What are the benefits of Agentspace?
A: Agentspace enables employees to access and combine data from across the organization, reducing time spent searching for information, making faster decisions, and improving collaboration and productivity.

Q: How does Agentspace ensure data security?
A: Agentspace uses Google’s Secure by Design architecture, which provides granular control over data and who can use it.

Q: Can I integrate NotebookLM with Agentspace?
A: Yes, NotebookLM can be integrated with Agentspace to enable AI-enabled processing of collections of documents.

Honeycomb Sees Sweet Reward in Unifying Dev and Ops

DevOps Tension and the Honeycomb Solution

The “DevOps” phrase may be easy to say, but it masks an underlying tension between development and operations that can lead to poor communication and ultimately poor management of increasingly complex tech stacks. Addressing this DevOps tension and communication gap is a challenge that the founders of an observability startup called Honeycomb aim to solve.

Honeycomb’s Story

Honeycomb’s story starts circa 2012, when two engineers, Christine Yen and Charity Majors, found themselves working together at Parse, which developed a back-end for mobile apps. Yen was a developer while Majors was more inclined towards the infrastructure. A friendship blossomed between them, despite differences in jobs and natural talents.

“Everything was so fast you could churn through tons and tons and tons of data, spit out a chart, and then say ‘Drill into this one app and this one SDK version,'” Yen said. “Because we were a platform, we wouldn’t know if there was a Russian dating app that would launch, that would use a new endpoint in an unexpected way and take down our Mongo cluster. But it happened all the time, and so we had to figure out how to get ahead of that.”

Emboldened by the Scuba experience, Yen and Majors left Facebook and founded Honeycomb in 2016. The pair had an idea for a new kind of observability tool that could express operations concepts in a developers’ language, and (hopefully) bridge the gap between Dev and Ops, thereby bringing back some semblance of simplicity—or at least understandability.

Honeycomb’s Technology

At a technical level, Yen and Majors made a few decisions in 2016 that set Honeycomb on its path. It decided there was no good reason to split up the Holy Trinity of observability data—logs, metrics, and traces—as some observability companies do. By storing logs, metrics, and traces together, it would be easier to correlate details found in them, which would accelerate the remediation of problems.

The second big architectural decision the company made was it selected a column-oriented database in which to store all this observability data. This made Honeycomb more like Snowflake than Datadog, Yen said.

“We didn’t invent column stores, and we’ll be the first to tell you that there’s nothing, honestly, all that special about column stores,” she told BigDATAwire in an interview at re:Invent 2024 last week. “But we were the first people to really start to question, should we maybe not have logs over here and metrics over here forever? Should we maybe try to find ways [to keep them together], especially if they’re talking about the same thing that happened in an application?”

Providing Context

Instead of spending time and effort trying to join these data types together so they can be analyzed, Honeycomb’s design naturally stores them together, using the OpenTelemetry (OTEL) format. That not only eliminates the need for data integration, but it helps with the next capability that Honeycomb is known for: Providing context to the complex metadata it collects, which in turn helps turn the technical infrastructure jargon that operations folks speak into the business language that developers speak.

“It meant that previously Charity would be like ‘Christine, what did you do to the write throughput on my Cassandra instance?’ And I’d be like, let me try to figure it out. I’m really scared,” Yen said. “It turned those conversations into, ‘Hey, Christine, I saw elevated write throughput on my Cassandra instances. So I looked, and it seems that that elevated traffic is driven by this app on this endpoint. What’s going on?'”

And I’d be like, Oh, that’s a regression,” she continued. “Now let me go look, because now it’s in my world. Now I can go try to reproduce it in a test. Now I can go look at the business logic. Now I understand why it matters, because I know which apps you’re talking about, and that’s the way that it changed how we work together as an engineering team.”

Conclusion

Honeycomb’s approach seems to be resonating, as the San Francisco-based company has already signed 800 paying customers, including companies like Vanguard, Fender Guitars, and Jack Henry & Associates. The company, which has raised about $147 million through a Series D round, also last week picked up a 2024 BigDATAwire Readers’ Choice Award in the category of Best Big Data Product: DataOps and Observability.

Frequently Asked Questions

Q: What problem does Honeycomb aim to solve?
A: Honeycomb aims to solve the DevOps tension and communication gap between development and operations teams.

Q: Who founded Honeycomb?
A: Honeycomb was founded by Christine Yen and Charity Majors in 2016.

Q: What is Honeycomb’s technical approach?
A: Honeycomb’s technical approach includes storing logs, metrics, and traces together in a column-oriented database, and using OpenTelemetry (OTEL) format.

Q: What is the purpose of Honeycomb’s design?
A: The purpose of Honeycomb’s design is to provide context to the complex metadata it collects, turning technical infrastructure jargon into business language that developers understand.

Q: What recognition has Honeycomb received?
A: Honeycomb received a 2024 BigDATAwire Readers’ Choice Award in the category of Best Big Data Product: DataOps and Observability.

Sonic 3 Holiday Havoc

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Paramount’s Hilarious Christmas Parody Posters for Sonic the Hedgehog 3

A Christmas Treat for Fans

Paramount has released a series of parody Christmas film posters to promote the upcoming release of Sonic the Hedgehog 3. The posters put a playful spin on some beloved holiday classics, featuring cameos from Sonic, Jim Carrey’s Dr. Robotnik, and other iconic cast members.

Instantly Recognizable Designs

The best film posters are instantly recognizable, and these examples are no different. Even with the Sonic twist, the posters have got fans in the festive spirit, with many flocking to praise the amusing designs.

Designs Inspired by Christmas Classics

The parody posters were inspired by family favourites like Elf, The Grinch, and Home Alone, as well as Christmas Vacation, The Nightmare Before Christmas, Scrooged, and even Die Hard. The posters weave in crafty Sonic references, much to the delight of the franchise’s fans.

Fan Reaction

My favorite design by far has to be the Love Actually parody poster, complete with the tagline "Very fast. Very powerful" – absurdity aside, you can’t knock the level of detail of these hilarious spoofs. Over on [X], fans shared their delight over the posters. "The marketing for this movie is on fire these Christmas film parody posters are awesome", wrote one fan, while another added, "These poster parodies are giving me life".

Conclusion

Movie marketing campaigns have been on a roll recently, with creative and engaging campaigns like Alien Romulus’ terrifying OOH campaign and Smile 2’s eerie guerrilla marketing techniques. It’s great to see film marketing exploring more creative ways to engage with fans, and I’m excited to see how this trend develops.

FAQs

Q: What is the release date of Sonic the Hedgehog 3?
A: The release date has not been announced yet.

Q: Who are the main cast members in the parody posters?
A: The parody posters feature Sonic, Jim Carrey’s Dr. Robotnik, and other iconic cast members.

Q: Can I download the parody posters?
A: No, the parody posters are only available online and cannot be downloaded.

Q: How can I stay updated on the latest news about Sonic the Hedgehog 3?
A: You can follow [X] for the latest updates and information about the movie.

Google’s NotebookLM AI podcasts add ‘interactive’ mode

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Google’s NotebookLM and its podcast-like Audio Overviews have been a surprise hit this year, and today Google company is starting to roll out a big new feature: the ability to actually talk with the AI “hosts” of the overviews.

## New Interactive Feature

When the feature is available to you, you can try it out with new Audio Overviews. (It won’t work with old ones.) Here’s how, according to a blog post:

### How to Use the Interactive Feature

* Create a new Audio Overview.
* Tap the new Interactive mode (BETA) button.
* While listening, tap “Join.” A host will call on you.
* Ask your question. The hosts will respond with a personalized answer based on your sources.
* After answering, they’ll resume the original Audio Overview.

The ability to actually talk with NotebookLM seems like a potentially useful way to learn more about what you’ve collected in the app. However, Google cautions that it’s an “experimental feature” and that “hosts may also pause awkwardly before responding or occasionally introduce inaccuracies,” so it may not be a totally polished experience to start.

## New Interface and NotebookLM Plus Subscription

In addition to the interactive Audio Overviews, Google is introducing a new interface for NotebookLM that organizes things into three areas: a “sources” panel for your information, a “chat” panel to talk with an AI chatbot about the sources, and a “studio” panel that lets you make things like Audio Overviews and Study Guides. I think it looks nice.

Google is also announcing a NotebookLM subscription, NotebookLM Plus. The subscription will give you “five times more Audio Overviews, notebooks, and sources per notebook,” let you “customize the style and tone of your notebook responses,” let you make shared team notebooks, and will offer “additional privacy and security,” Google says. The subscription is available today for businesses, schools and universities, and organizations and enterprise customers. It will be added to Google One AI Premium in “early 2025.”

## Agentspace for Enterprises

Google is also launching “Agentspace,” a platform for custom AI agents for enterprises. “Agentspace can provide conversational assistance, answer complex questions, make proactive suggestions and take actions based on your company’s unique information,” Google says. It also has connectors for apps like Microsoft SharePoint, Jira, and ServiceNow.

## Conclusion

The new features and updates announced by Google for NotebookLM aim to enhance the learning experience and provide more ways to interact with the app. The interactive Audio Overviews and NotebookLM Plus subscription offer more flexibility and customization options, while Agentspace provides a platform for enterprises to create custom AI agents.

## FAQs

Q: What is NotebookLM Plus subscription?
A: NotebookLM Plus is a subscription that offers five times more Audio Overviews, notebooks, and sources per notebook, customization of style and tone of responses, shared team notebooks, and additional privacy and security.

Q: When is NotebookLM Plus subscription available?
A: NotebookLM Plus subscription is available today for businesses, schools and universities, and organizations and enterprise customers. It will be added to Google One AI Premium in “early 2025.”

Q: What is Agentspace?
A: Agentspace is a platform for custom AI agents for enterprises. It provides conversational assistance, answers complex questions, makes proactive suggestions, and takes actions based on company-specific information.

Q: What apps does Agentspace have connectors for?
A: Agentspace has connectors for apps like Microsoft SharePoint, Jira, and ServiceNow.

Frightfully Good Idea

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The Cabin Factory: Details

Developer: International Cat Studios

Publisher: Future Friends Games

Release date: 13 December 2024

Platforms: PC (Steam)

The design of The Cabin Factory is a masterclass in how to do a lot with very little. Cast as a new employee at said factory, you descend in a lift to the production floor while being told by a robotic voice that a few customers have complained that the cabins they’re receiving are haunted. Hence, it’s your role to provide some much-needed quality assurance.

The Cabin Factory Review: Who You Gonna Call?

Your new job is to simply wander into the cabins as they roll up on a giant conveyor belt, then check them carefully to see whether anything is amiss. If all is fine, head back out and hit the green ‘Clear’ button. But if you spot anything moving inside, it’s time to run for your life and smash the red ‘Danger’ button as fast as you can.

The layout of each cabin is identical, and they all tend to have the same standard décor, including an alarmingly creepy portrait of a woman, a mannequin of a man eating his lunch and a child-sized dummy upstairs with a cloth over its head. Which does lead you to wonder who on earth is buying these incredibly creepy cabins. Still, the absurdity of it all is key to the appeal. And I marvelled at how much variety and interest can be generated from the endless recycling of this one cabin.

The Cabin Factory Review: Genuinely Terrifying

Because you’re told to watch out for any movement, you find yourself scrutinising the cabins intensely: and any change, even tiny, can be momentous. Like when the lunch-eating mannequin swivelled its head slightly in my direction, prompting a deluge of expletives on my part and a panicked dash to the exit.

At times, though, the cabin becomes utterly unhinged. I don’t want to spoil anything about these ingenious little episodes, since the surprise is key to their appeal. But I will say that the hauntings can lead in some unexpected directions, and even extend beyond the confines of the cabin itself.

The Cabin Factory Review: Verdict

Beautifully simple by design and executed just as deftly, The Cabin Factory is a genuinely creepy, occasionally terrifying, play on space, design and things that go bump in the night (and in weird factories). Chilling.

Conclusion

The Cabin Factory is a unique and compelling experience that will have you on the edge of your seat. With its clever design and unexpected scares, it’s a must-play for anyone who enjoys a good horror game.

FAQs

Q: What is The Cabin Factory?

A: The Cabin Factory is a horror game where you play as a quality assurance tester in a factory that produces haunted cabins.

Q: How do I play the game?

A: Your goal is to inspect the cabins as they roll off the production line, checking for any signs of haunting. If you spot anything moving, you must flee the cabin and reset the counter to zero.

Q: How long does the game take to complete?

A: With nerves of steel, you can finish the game in about an hour. However, the experience is designed to be replayed multiple times to uncover all the hidden secrets and scares.

Q: Is The Cabin Factory suitable for all ages?

A: No, The Cabin Factory is rated 18+ due to its intense horror elements and frightening imagery.

Leaked iPhone 17 Pro design raises eyebrows

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The Next iPhone Design Leak: A Radical Departure from the Norm?

A New Camera Layout

It’s that time of year again, when the dust has settled on the latest iteration of the iPhone and the rumour mill turns its attention to what’s coming next. After the somewhat underwhelming iPhone 16 Pro, many are hoping for a redesign in 2025. And the latest rumours suggest this could indeed be on the cards.

A Surprise Design

Photos of what leakers claim to be the frame of the iPhone 17 Pro have emerged online, and they show a surprising design that many are likening to Google’s Pixel range. With a horizontal camera layout, the design could mark a radical departure from the ‘triangle’ lens layout we’ve had since the iPhone 11 Pro.

A New Design Language?

The leak has raised eyebrows among iPhone fans. Some are casting doubt over the images, as it is believed that the lenses need to sit horizontally when the phone is being used as a camera in order to capture spatial video (which would explain why the lenses were switched back to vertical on the iPhone 16).

Pixel Vibes

But even more surprising is how overtly this design seems to echo that of the Google Pixel. Would Apple really borrow the design language of its most notable rival?

What’s Next?

Time will tell what design changes Apple has in store for the iPhone 17 line up. But while an apparently Pixel-inspired camera setup might be unlikely, it isn’t the first slightly baffling design rumour we’ve heard – if rumours are to be believed, we might also be in for a downgrade when it comes to materials.

Conclusion

The iPhone 17 Pro design leak is certainly an interesting one, and it will be exciting to see if Apple does indeed go down this route. With the company’s reputation for innovation, it’s possible that this design could be a game-changer for the brand.

FAQs

  • Q: Is this design leak real?
    A: While the images have been shared online, it’s difficult to confirm their authenticity.
  • Q: Why would Apple copy Google’s design language?
    A: It’s unclear, but it’s possible that Apple is looking to shake up its design approach or attract a new audience.
  • Q: What’s the purpose of the horizontal camera layout?
    A: It’s believed that the lenses need to sit horizontally to capture spatial video, but it’s unclear if this is the primary reason for the design change.

5 Essential Skills for Transitioning to Cloud-Based Automation Solutions – Robotics & Automation News

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Switching to cloud-based automation solutions can feel overwhelming at first – like trying to drive a race car without a manual. But, trust me, with the right skills in your toolkit, you can glide through the process and even look like a pro doing it.

Below, we’ll explore five key skills that will make the transition seamless, save you headaches, and perhaps even earn you a “Cloud Champion” coffee mug at work.

1. Cloud Computing Know-How

First things first – you can’t automate on the cloud if you don’t know the cloud. Think of cloud computing as the backbone, the foundation, the stage on which all your automation performances will happen.

Understanding cloud computing basics, like how data is stored and resources are accessed, is your first step. Start small by learning the differences between public clouds (like AWS), private clouds, or a mix of both (hello, hybrid cloud!).

Platforms like Azure, Google Cloud, and AWS are the popular kids in this space – and learning at least one of them is crucial.

Not sure where to start? DataCamp’s cloud courses have everything you need to grasp the essentials. Whether it’s AWS, Google Cloud, or Azure, they’ve got a course to suit your pace and expertise. And the best part? You don’t even have to write a single line of code to get started with their beginner-friendly modules.

2. An Understanding of Automation Basics

You wouldn’t build a house without knowing how to use a hammer, right? The same goes for automation. At its core, automation is about replacing repetitive tasks with clever workflows and algorithms. A foundational grasp of process mapping, workflow analysis, and scripting is a must.

Take time to identify the tasks within your organization that could benefit from automation. Think scheduling, ticket management, or even processing invoices. Do this well, and you’ll have your company’s processes humming along like a well-tuned orchestra.

Pro Tip: Start small. Automating one manual task – like responding to customer emails with predefined rules – can show instant value without overwhelming your system.

3. Data Analysis Expertise

Automation thrives on data, so being a data whisperer is non-negotiable. To automate effectively, you need to read, analyze, and understand the numbers driving your workflows.

Imagine automating a supply chain – but without knowing how to identify seasonal demand spikes? That’s like building a rocket without accounting for gravity. Spoiler alert – it won’t fly.

Develop these data-savvy skills for automation glory:

  • Understanding KPIs tied to business goals.
  • Using visualization tools like Power BI or Tableau.
  • Spotting patterns or abnormalities hidden within mountains of data.

Think of data analysis like decoding a treasure map – pinpoint the X and your automation system will deliver the gold.

4. Collaboration and Change Management

Here’s the deal – automating workflows doesn’t mean automating people out of jobs. But not everyone will get that memo. One of the most overlooked skills in cloud-based automation is managing hearts as well as minds.

What this means practically:

  • Cross-department buzz for automation projects (hint: get “buy-in” early).
  • Communicating how automation will shift workloads – not eliminate jobs.
  • Providing ample training through the transition process.

Think of yourself as the automation hype person. If your team sees the value, you’re halfway to that sweet, streamlined operation.

5. Continuous Learning and Adaptability

You know that kid in school who kept reinventing themselves every year? That’s what you need to channel – but with cloud tech.

The landscape of automation is constantly evolving. Keeping up with trends, tools, and best practices is how you’ll maintain relevance and ride this (proverbial) wave like a pro surfer.

Sign up for webinars. Join automation communities. Heck, spend an hour each week browsing blogs or case studies. The point is, stay curious.

Example: Remember when automation was simple backend stuff like IT scripts? Now, we’ve got AI ruling the customer service kingdom with bots that actually understand sarcasm. (We know – our minds are blown, too.)

The Bottom Line

Transitioning to cloud-based automation isn’t about knowing everything. It’s about building the right foundation and adapting quickly. Develop these five skills, and pretty soon you’ll be the automation guru others look to for advice.

Speaking of advice, why not get started today? Hop into cloud courses to sharpen your edge. Your future self (and your business) will thank you for it.

Main image by Christina Morillo

Artificial Intelligence Will Become More Dangerous

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AI Risks in 2025: A Warning

Predictions vs. Reality

OpenAI CEO Sam Altman expects Artificial General Intelligence (AGI) around 2027 or 2028, while Elon Musk predicts 2025 or 2026. However, most AI researchers believe that simply building bigger and more powerful chatbots won’t lead to AGI.

The Real Risks Ahead

In 2025, AI will pose a massive risk, not from superintelligence, but from human misuse. This can be unintentional, such as relying too heavily on AI without understanding its limitations. For instance, lawyers have been sanctioned for using AI to generate erroneous court briefings.

Unintentional Misuses

  • Chong Ke was ordered to pay costs for opposing counsel after she included fictitious AI-generated cases in a legal filing.
  • Steven Schwartz and Peter LoDuca were fined $5,000 for providing false citations.
  • Zachariah Crabill was suspended for a year for using fictitious court cases generated using ChatGPT.

Intentional Misuses

  • In January 2024, sexually explicit deepfakes of Taylor Swift flooded social media platforms, created using Microsoft’s "Designer" AI tool.
  • Non-consensual deepfakes are proliferating, and ongoing legislation across the world seeks to combat them.

The Liar’s Dividend

As AI-generated audio, text, and images become increasingly realistic, it will be harder to distinguish what’s real from what’s made up. This could lead to the "liar’s dividend," where those in positions of power repudiate evidence of their misbehavior by claiming it’s fake.

Examples

  • Tesla argued that a 2016 video of Elon Musk could have been a deepfake in response to allegations of exaggerating the safety of Tesla autopilot.
  • An Indian politician claimed that audio clips of him acknowledging corruption were doctored.
  • Two defendants in the January 6 riots claimed that videos they appeared in were deepfakes, but were found guilty.

Dubious Products and Services

Companies are exploiting public confusion to sell products and services labeled as "AI." This can have severe consequences, such as denying people important life opportunities.

Examples

  • Retorio claims its AI predicts candidates’ job suitability based on video interviews, but a study found that the system can be tricked by superficial correlations.
  • The Dutch tax authority used an AI algorithm to identify people who committed child welfare fraud, wrongly accusing thousands of parents and demanding they pay back tens of thousands of euros.

Conclusion

In 2025, AI risks will arise not from AI acting on its own, but from how people use it. Mitigating these risks is a significant challenge for companies, governments, and society. It will be crucial to focus on the real issues and not get distracted by sci-fi worries.

FAQs

Q: What are the potential risks of AI in 2025?

A: The risks include human misuse, such as over-reliance on AI, non-consensual deepfakes, and denying people important life opportunities.

Q: How can we mitigate these risks?

A: Companies, governments, and society must work together to ensure that AI is used responsibly and ethically, and that its limitations are understood and respected.

Q: What is the "liar’s dividend"?

A: The "liar’s dividend" refers to the phenomenon where those in positions of power repudiate evidence of their misbehavior by claiming it’s fake, as AI-generated content becomes increasingly realistic.