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December 2024

3 Ways To Reinvent Your Products And Services For The Future

By Banking, Career, Cryptocurrency, Cybersecurity, Digitalization, Food for thoughtNo Comments

With the rise of the metaverse and web3 technologies, there’s no denying the next evolution of the internet is already underway. This is what I mean when I talk about the “future internet” – the next generation of the internet, characterized by immersive virtual metaverse worlds (such as Fortnite or Meta’s Horizon Worlds) and decentralized web3 technologies (think crypto, blockchain and NFTs).

For organizations, this future internet brings many opportunities – and threats. This means every organization must take a look at the products and services they provide and consider new and improved ways to serve their customers.

Here are three avenues to explore.

1. Augmenting Your Existing Products And Services

A good starting point is to look at your existing products and services and explore how you could enhance them with metaverse and/or web3 technologies. Consider how Fortnite has reinvented itself from a gaming platform to a trailblazing metaverse platform that provides immersive virtual experiences (like gigs by real-world megastars). Or consider how smartphone manufacturers are increasingly building AR capabilities into their phones, allowing users to see immersive virtual elements overlayed over the real-world view simply by using the built-in camera. Both are great examples of making your existing products or services more compatible with the next, more immersive evolution of the internet.

Could you augment your products and services for the future internet? If you ignore this question, the danger is another company will come along with that improved offering. Consider how services like Audius are reimagining music streaming and challenging established platforms like Spotify. Audius is a blockchain-based, artist-owned, decentralized streaming service with its own crypto token – in essence, the platform lets musicians decide how their music is monetized and allows them to connect directly with fans.

2. Creating New, Digital-Only Products

The next generation of consumers is only too happy to spend real money on products that don’t exist in the physical world. My children routinely spend their pocket money on Fortnite Skins, and yours may well do the same. In fact, Fortnite (and gaming in general) has led the way in creating digital-only products. What’s really interesting is Fortnite is a free-to-play game, so the sale of in-game items is clearly a vital revenue-earner for the game’s makers. In-game purchases are so popular that close to 70 percent of Fortnite players purchase outfits, accessories, and dance moves for their virtual characters. These outfits, accessories and moves don’t give players any actual advantage when playing the game – it’s purely about making your character look different from those who don’t pay for products. It goes to show that, in the metaverse era, digital-only products have very real value.

What about new services for the future internet? A great example comes from BlockBar, the NFT marketplace for high-end wines and spirits. BlockBar is a direct-to-consumer NFT marketplace that connects consumers and collectors with luxury alcohol brands such as Glenfiddich and Hennessy – allowing brands to sell NFTs that are tied to physical luxury and limited-edition products. (The NFT acts as proof of ownership but may also provide the NFT holder with access to exclusive perks and content.) As a service, BlockBar is taking the business of selling wine and spirits into the 21st century. And it’s proving popular with brands and consumers alike; the marketplace reached $7 million in sales in its first year and attracted more than 300,000 users.

Ask yourself, could your business create new products and services that are designed with the future internet in mind – or could your existing products or services be threatened by new, digital-native offerings?

3. Creating Hybrid Products And Services That Span Both Digital And Physical

What about blending the physical and digital to create hybrid products and services? One cool example comes from Merge EDU, which has designed a range of digital teaching aids for STEM subjects. The teaching aids immerse students with 3D objects and simulations they can “touch” and interact with – thereby helping students understand complex science concepts. This shows how digital products and services can deliver significant value in the physical world.

Of course, physical products can also be enhanced with a digital element, such as an accompanying NFT. Like how legendary music magazine SPIN – known for its iconic covers that are collectors’ items in their own right – is selling its covers and other art assets as collectible NFTs.

This “tokenization” of physical products is interesting because it also allows products to be sold in a distributed ownership model – where multiple customers share ownership of an asset. One example comes from the Crurated wine platform, which offers members the chance to buy fractions of wine barrels certified by NFT and blockchain technology.

Can You Afford To Ignore The Future Internet?

There’s no doubt in my mind that companies that ignore the impact of the metaverse and Web3 risk being overtaken by startups who are creating new, improved versions of existing products and services – essentially, reimagining them for the future internet.

That said, because the future internet is evolving so fast, some of the products and services being developed now may not exist in a few years’ time. There will be new products and services that we can’t yet imagine. The upshot is amazing innovations are coming our way, and we can’t predict where all this is going. But don’t let that stop you from reimaging your own products and services and experimenting with future internet innovations. Don’t wait, in other words. The time to experiment is now.

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The 6 Most Powerful AI Marketing Trends That Will Transform Your Business In 2025

By Banking, Career, Cryptocurrency, Cybersecurity, Digitalization, Food for thoughtNo Comments

The quiet hum of AI servers is rapidly drowning out the traditional drumbeat of marketing departments worldwide. As we venture deeper into 2025, this technological revolution isn’t just changing how we market – it’s fundamentally transforming what marketing means.

Over the last decades of analyzing digital trends, I’ve never seen such a profound shift in how businesses connect with their customers. While AI and automation are undoubtedly the stars of this show, other fascinating developments are emerging from the wings, from the evolution of influencer culture to a growing emphasis on digital privacy. Let’s explore the most significant trends that will shape marketing’s future in the coming year.

The Move Towards Dynamic Content Creation

The buzz around generative AI isn’t just hype – it’s the harbinger of a fundamental shift in content creation. But here’s the interesting part: while many marketers are still stuck in the basic ChatGPT-generated blog post phase (a strategy that’s increasingly showing its limitations), the real innovators are pushing boundaries we didn’t even know existed. They’re creating content that adapts in real-time, responding to context and audience sentiment in ways that make traditional personalization look primitive.

What’s particularly exciting is how forward-thinking content creators are integrating AI into their creative process itself. They’re not just using AI to generate content – they’re showing their audiences how to use it in novel ways, creating engaging meta-content that builds authority and drives engagement. In 2025, we’ll see the emergence of truly dynamic content that transforms based on viewer behavior, time of day, or even global events, taking the concept of marketing “micro-moments” to an entirely new level.

AI’s Strategic Takeover

While AI’s role in tactical marketing operations is well established, 2025 will mark its emergence as a crucial strategic partner. We’re moving beyond basic data analytics and recommendation systems into an era where AI actively participates in high-level planning and decision-making. Imagine AI systems that can predict future market trends with unprecedented accuracy, simulate entire campaign outcomes before launch, and optimize resource allocation in real time.

This strategic evolution of AI is particularly exciting because it’s happening first in marketing departments. As we push into 2025, marketing teams are becoming the proving ground for AI’s ability to contribute to strategic business decisions, setting patterns that other business functions will likely follow.

Search Is Dead, Long Live Search

The integration of generative AI into search engines isn’t just an upgrade – it’s a complete reimagining of how people find information online. With both Google and Bing now embedding AI-generated responses directly into search results, marketers are facing a fundamental shift in how they approach visibility. The traditional SEO playbook isn’t just being updated – it’s being completely rewritten.

But here’s what makes this trend particularly fascinating: as AI chatbots increasingly become the go-to tool for information seeking, we’re seeing a shift in user behavior that could rival the move from desktop to mobile. Marketing teams are now grappling with the challenge of not just ranking in traditional search results but also ensuring their brand messages are effectively captured and conveyed through AI-generated responses. This isn’t just about keywords anymore – it’s about understanding and influencing the AI systems that are becoming the new gatekeepers of information.

Video Marketing Gets A Brain Upgrade

If content is king, video continues to be its crown jewel. The appetite for quick, engaging, “snackable” video content shows no signs of slowing down, particularly among Gen-Z consumers. What’s changing is the sophistication of video creation and distribution. AI-driven video production tools are making it possible to create personalized, targeted video content at scale, while new formats like shoppable video and live streaming are opening up exciting new possibilities for brand engagement.

User-generated content remains a powerful force, but the tools and platforms for creating and sharing it are becoming increasingly sophisticated. In 2025, the ability to create, optimize, and distribute video content will become less about technical capability and more about strategic application.

Your Next Influencer Might Not Be Human

Virtual influencers have been around for a while, but 2025 is the year they get smart – really smart. We’re moving beyond static digital avatars to AI-powered personalities that can engage in meaningful, real-time interactions with audiences. This isn’t just about posting pretty pictures anymore – it’s about creating authentic connections through intelligent conversation.

The implications for brands are enormous. Imagine having an influencer who perfectly embodies your brand values, is available 24/7, and can engage with thousands of followers simultaneously in personalized conversations.

The Privacy Paradox

The marketing world has long grappled with the balance between personalization and privacy. As we move into 2025, this balance is becoming more crucial – and more complex – than ever. Smart marketers are adopting what I call “privacy-first personalization,” an approach that delivers highly relevant experiences while maintaining transparent and ethical data practices.

This isn’t just about compliance with growing regulations – it’s about building trust in an era where consumers are increasingly aware of and concerned about their digital footprint. The marketers who succeed in 2025 will be those who can deliver personalized experiences while demonstrating a genuine commitment to protecting consumer privacy.

Looking ahead, it’s clear that success in 2025’s marketing landscape won’t just be about adopting new technologies – it will be about using them thoughtfully and strategically to create genuine value. The most successful marketers won’t be those who chase every new trend but those who understand how to integrate these innovations into a coherent strategy that puts the customer first.

The Simple ChatGPT Trick That Will Transform Your Business AI Interactions

By Banking, Career, Cryptocurrency, Cybersecurity, Digitalization, Food for thoughtNo Comments

I believe ChatGPT and other generative AI tools can help pretty much any business. With a low-cost subscription or even simply using free tools, advanced AI assistance that would have seemed the stuff of science fiction just a few short years ago is within reach of anyone.

Without specific information, though, the advice and output that these genAI tools give can be very formulaic and mundane.

Simply ask it to “write me a blog on subject X” or “create a business plan for my Y business” and you’ll see what I mean.

The problem is that by default, it doesn’t know enough about you or your business and its specific challenges to create anything very useful

Luckily, there’s a way to ensure it has the information it needs to give you very specialized, specific advice that’s relevant to your opportunities and challenges. Get it to ask you what it needs to know.

With that in mind, here are a few prompts that can be used to get AI to help you with everyday business tasks, but in a way that’s customized and personal to you. Of course, you can use these as they are or personalize them further to make them even more relevant to your own situation and challenges.

Either way, they all make good jumping-in points for anyone wanting to start putting AI to work for them in a personalized way:

Review Compliance Regulations Around A Project

I need you to help me create a list of all my compliance and regulatory obligations around a project I am planning. Please ask me questions, one at a time, to get all of the information you need to know. Then create a step-by-step, prioritized list of actions I need to take in order to ensure I am fully compliant.

Understand Cybersecurity Requirements

I need your help understanding all of the steps I need to take in order to ensure my business is protected against cybersecurity threats. Please ask me questions about my business, one at a time, to get all of the information you need. When you are ready, please create a step-by-step strategy for implementing cybersecurity measures in a way that’s specifically relevant to my business.

Create A Social Media Marketing Campaign

Please help me create five social media posts optimized to generate maximum engagement. First, ask any questions, one at a time, you need in order to understand my business, our products and services, and our branding and messaging. It’s important you understand who our customers are and our brand’s voice, tone and style. When you have enough information, please draft the posts.

Create A Website FAQ Page

I need you to help me create a FAQ page for my company website. Please ask me questions, one at a time, to get the information you need to understand my business and customers. Then, ask me for details on any specific questions that I frequently encounter. When you have enough information, please generate a list of questions and answers in an FAQ format suitable for use on our company website.

Write A Business Plan For Use In Applying For Loans And Financing

Please help me write a business plan designed to maximize my chances of success when applying to banks or investors for loans or funding. Format the plan in a way that you think is best in order to optimally present the information clearly and concisely. Ask me questions, one at a time, to get all of the information you need to generate the plan. When you have all the information needed, go ahead and draft the plan.

Create A Customized Blog Post Relevant To Your Audience

Please help me create a blog post introducing my products or services to my online audience. Ask me questions about myself, my business, products/services, my customer base, and what I hope to achieve with the blog post in order to get all of the information you need to create a post that is informative, engaging, and optimized to achieve my aims.

Creating Your Own Personalized Prompts

As you can probably see, by following this formula, it’s possible to get ChatGPT (or whatever chatbot you prefer) to create personalized help, advice, and plans for just about any business task.

Asking it what information it needs means you can guarantee that you’ll always get more useful responses than simply expecting it to rely on whatever it already knows.

Mastering this technique will take you a step closer to leveraging the full potential of generative AI when it comes to assisting with everyday business tasks, helping you save time, money and effort.

Credit: Bernard Marr

The 12 Best Smart Home Devices Transforming Homes in 2025

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By now, “smart” versions exist of just about every home appliance, gadget and gizmos we can think of. However, manufacturers continue to come up with new ways to inject everyday devices with new features designed to make our lives easier, more informed, or just more colorful.

The latest devices – and those slated for release next year – offer some of the most advanced and innovative functionality we’ve seen yet. Many of them harness the power of AI, either generative AI or predictive machine learning, to understand our habits and fit seamlessly into our lives.

While not all of these devices are available yet (and I can’t guarantee all of them will make it into our hands before the end of 2025), these are some of the most interesting and potentially useful that have been released recently or are on the cards for next year.

Ring Always Home Cam

Ring has been teasing its indoor drone camera for some time, but so far, it hasn’t been available to buy. This year, we could finally get the chance to get our hands on what is certainly a very futuristic piece of kit, if it finally goes on general release. The camera autonomously navigates your home, alerting you to intruders or security threats in real time and returning to its dock to charge.

MagicFit Smart Fitness Mirror

It’s a floor-standing mirror that also gives you personalized fitness training, analyzing your form and counting out reps as you work out. Smart weights and a bench are also available for the ultimate home exercise platform, and unlike some similar devices, they don’t require a paid subscription.

Google Nest Hub Max

Probably the most fully featured and versatile of the current crop of smart home assistant hubs. Google’s most recent Nest Hub has connectivity with a huge range of devices and standards, as well as a large, useful screen and powerful speakers. A great choice for a home hub if you aren’t tied into a competing ecosystem.

LG Styler ShoeCase With ShoeCare

First, demonstrated at CES 2023, this could be the year that the ultimate sneakerhead’s gadget finally becomes available. The ShoeCase offers stylish visual storage for your collection of limited-edition sneakers and is capable of autonomously keeping them clean thanks to the built-in ShoeCare TrueSteam system.

Samsung Ballie

Ballie is an autonomous AI home companion that, according to Samsung,  will be able to assist with home tasks by connecting to and managing home appliances. It also acts as a mobile security camera and has a built-in projector that can project images onto floors and walls. It can even feed your pets! Ballie is another device that has been teased for some time but may finally see a release in 2025.

Philips Wi-Fi Palm Recognition Smart Deadbolt

Smart locks and home entry systems have been growing in popularity in recent years, and Philips has consistently created innovative models. This latest smart deadbolt relies on biometric palm data, so there’s no more need to remember PINs or fumble for keys.

SiiPet Pet Camera

Billed as the world’s first pet behavior analysis camera, this device offers real-time monitoring for abnormal behaviors, which could be an early warning of health problems. It is able to identify and track the behavior of multiple pets and offer explanations and recommendations based on their activities in the home.

Motion Pillow

Demonstrated at CES this year and hopefully available during 2025, this pillow connects to an app that detects snoring and automatically adjusts the sleeper’s head position by inflating or deflating segments of its memory foam filling. The app also collects and analyzes sleep data to help you get a good night’s rest.

Kohler Stillness Infinity Bath

This bath not only gives an infinity-pool experience, with overflowing water continuously circulating through surrounding channels, but it also features built-in aromatherapy and chromotherapy experiences, all controlled from the Kohler Connect smartphone app for the ultimate immersive bathing experience. It is not currently available and is unlikely to be cheap when it finally is.

Ebo Air Pet Robot Camera

Another pet camera, this one, is designed to follow it around the house on its mini caterpillar tracks, acting as a companion and playmate and enabling you to keep an eye on your pet’s activities while out of the house.

LG MoodUP Fridge Freezer

Certainly the most colorful smart refrigerator, this new model from LG is built from LED panels, which offer 438 combinations of colors. It also features the innovative InstaView functionality, where knocking on a panel twice causes it to turn transparent, allowing you to see inside without opening the door.

As we look at these innovative smart home devices for 2025, it’s clear that we’re entering an era where AI and automation are becoming seamlessly integrated into our daily lives. While some of these products may seem futuristic – and their price points might initially put them out of reach for many consumers – they represent the exciting direction that home technology is taking. As these technologies mature and become more accessible, they promise to make our homes not just smarter, but more responsive to our needs, more secure, and ultimately more enjoyable places to live.

Credit: Bernard Marr

The AI-Powered Citizen Revolution: How Every Employee Is Becoming A Technology Creator

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Something remarkable is happening in organizations around the world. The traditional gatekeepers of technology – IT departments – are witnessing a revolution as employees across all departments harness AI and user-friendly tools to become technology creators themselves. Marketing managers are building AI models, nurses are developing healthcare apps, and finance teams are creating their own automation solutions.

“This has been creeping up on us over time,” explains Tom Davenport, distinguished professor at Babson College and co-author of ‘All Hands on Tech: The AI-Powered Citizen Revolution.’ “Technology has gotten so much easier to use, and we all carry around very powerful devices in our pockets that we have to become familiar with if we’re going to negotiate modern life.”

The Three Types Of Citizens

The citizen revolution encompasses three main categories of technology creators. First are the citizen developers, who use low-code/no-code platforms to build applications. Second are citizen automators, who create workflows and automated processes. Finally, there are citizen data scientists who leverage AI and analytics tools to derive insights from data.

“The concept that humans are becoming more tech-savvy and more comfortable with technology is converging with technology becoming progressively more human and human friendly,” says Ian Barkin, co-author of ‘All Hands on Tech.’ “To the point where so much attention is given to prompting and just effectively speaking to a computer and saying, ‘this is what I’d like you to build for me.'”

From Valve Turner To Tech Pioneer

One of the most inspiring examples of this revolution comes from Shell, where Stevie Sims transformed from literally “turning valves” at a refinery to becoming a citizen developer champion. As Barkin explains, “You saw domain expertise leveraged, you saw an intelligent person who knew the business and understood the challenges operating in that environment, who was then able to turn those ideas into actions and created automations that then inspired a movement.”

The IT Tension

This democratization of technology hasn’t been without its challenges. Many IT departments initially resisted, viewing citizen development as dangerous “shadow IT.” Davenport shares the story of “Mr. Citizen,” a supply chain professional who dramatically improved his productivity using data analysis tools, only to face pushback from IT, who insisted he should use their preferred programming language instead.

However, progressive organizations are learning to embrace and enable it while maintaining appropriate controls. “If you think you can stop the ingenuity and problem-solving of your teams of people who both have the ideas and then the tenacity to pursue them to solve problems they face every day – if you think you can squash that, good luck,” says Barkin. The solution, he suggests, is creating better structures that capitalize on people’s desire to solve problems creatively while maintaining necessary safeguards.

Managing The Risks While Enabling Innovation

The key to successful citizen development isn’t about replacing IT – it’s about transforming IT’s role from gatekeeper to enabler. Organizations need what Barkin calls “two ITs” – one focused on maintaining enterprise systems and security, and another dedicated to nurturing citizen developers through training, guidance, and maintaining safe development environments.

The most successful organizations are implementing what Shell calls a “red, amber, green” system – where green projects can be freely developed by citizens, red projects must be handled by IT, and amber projects require collaboration between citizens and IT professionals.

The Future Of Work And Innovation

This citizen revolution isn’t just changing how technology gets created – it’s transforming the very nature of work and innovation. Organizations that embrace this movement are finding they can innovate faster and more effectively by tapping into the domain expertise of their employees.

“This is an incredible resource,” Davenport emphasizes. “Every organization today feels the need to digitize. It’s taking too long. It’s costing too much. There aren’t enough professionals to do it. And you have this very powerful resource within your company of people who have domain expertise and can learn the skills that they don’t have already.”

Embracing The Revolution

The future belongs to organizations that can effectively harness this citizen movement while maintaining appropriate governance. As Barkin notes, “The future is going to be about a really sensible orchestration of the best AI for the job and really well-informed, capable humans.”

The message is clear: the citizen revolution isn’t something that can be stopped – nor should it be. Instead, organizations need to embrace and enable it, providing the right tools, training, and guardrails to help their employees become effective technology creators. In doing so, they’ll unlock unprecedented levels of innovation and productivity while empowering their workforce to solve the problems they understand best.

Credit: Bernard Marr

6 Mistakes IT Teams Are Guaranteed To Make In 2025

By Banking, Career, Cryptocurrency, Cybersecurity, Digitalization, Food for thought, UncategorizedNo Comments

The next wave of artificial intelligence isn’t just knocking at enterprise doors – it’s exposing fundamental flaws in how organizations approach technology transformation. As IT teams race to stay competitive in 2025, they’re making mistakes that could significantly impact their digital initiatives.

Mistake 1: Mishandling AI Governance

Many organizations are mishandling AI deployment by operating without proper guardrails, while employees increasingly turn to unauthorized “shadow AI” applications to boost their productivity. In 2025, we’ll see the consequences of this oversight manifest in data breaches, biased outputs, and compliance violations. Organizations are discovering sensitive data being fed into public AI models through unofficial channels, creating massive security vulnerabilities. Forward-thinking IT leaders are already implementing comprehensive AI governance frameworks that cover everything from model selection to output verification while providing approved alternatives to popular consumer AI tools. This isn’t just about risk management – it’s about building sustainable AI practices that can scale with your organization’s growing needs while keeping shadow AI use in check through education and accessible, secure alternatives.

Mistake 2: Ignoring Regulatory Requirements

IT teams are significantly underprepared for incoming AI regulations. While the U.S. currently lacks comprehensive federal AI legislation, states like Colorado are implementing strict requirements around automated decision-making systems, and the EU’s sweeping AI Act will impact any organization doing business in Europe. By 2025, organizations will need to demonstrate their AI systems aren’t discriminatory, provide transparency reports for high-risk applications, and comply with complex international requirements. Even existing regulations are being reinterpreted through an AI lens – from biometric privacy laws to consumer protection statutes. IT teams building AI systems today without considering these emerging compliance requirements are creating unnecessary technical debt. Smart organizations are future-proofing their AI implementations by designing for transparency, establishing clear governance frameworks, and building systems that can adapt to evolving regulatory demands across multiple jurisdictions.

Mistake 3: Creating Integration Complexity

In rushing to modernize, organizations are creating unnecessary technical debt with brittle architectures that span old and new systems. While everyone wants to talk about their latest AI implementation or cloud migration, organizations are drowning in hundreds of point-to-point connections between specialized tools and aging legacy platforms. Smart organizations are taking a hybrid approach, methodically modernizing their core systems while implementing robust integration frameworks that can scale. They’re replacing brittle connections with flexible architectures that can adapt as systems evolve. This isn’t as exciting as launching the latest chatbot, but building sustainable, maintainable technology ecosystems is fundamental to long-term success.

Mistake 4: Neglecting Data Quality

Organizations are building AI initiatives without addressing fundamental data quality issues. Their data lakes are more like murky swamps – plagued by inconsistent standards, conflicting formats, and quality issues that render them nearly unusable for advanced AI applications. The problem goes beyond mere technical challenges. Business units are hoarding information in isolated silos, data governance policies are outdated or ignored, and metadata management is often an afterthought. The result? AI initiatives that produce unreliable outputs, models that perpetuate hidden biases, and massive costs in data cleanup and rework. Forward-thinking organizations are treating data quality as a board-level priority, investing in robust data governance frameworks, and building centralized data platforms that enforce consistent standards. They understand that in 2025, the difference between AI success and failure often comes down to the quality of the data foundation it’s built upon.

Mistake 5: Compromising Security

IT teams are compromising security in their push for rapid innovation. The pressure to deliver new capabilities at speed is leading to incomplete security reviews and inadequate protections. This is particularly concerning as cyber threats evolve into hybrid attacks that combine AI capabilities with traditional hacking methods. Automated systems are probing for vulnerabilities 24/7, while AI-powered social engineering attacks are becoming increasingly sophisticated and harder to detect. Adding to this perfect storm is the looming threat of quantum computing that is forcing organizations to confront the possibility that their current encryption methods may soon be obsolete. Forward-thinking organizations are adopting zero-trust architectures and implementing DevSecOps practices that bake security into every stage of development. They’re also investing in quantum-safe encryption and AI-powered security tools that can detect and respond to threats in real time. In 2025, a single security breach can undo years of digital transformation efforts.

Mistake 6: Maintaining Outdated Skills Development

Organizations are maintaining outdated approaches to skill development and technical training. The technical skills that were cutting-edge six months ago are now baseline requirements, while entirely new competencies emerge almost weekly. This skills gap is particularly apparent in AI and quantum computing, where the underlying technology evolves faster than training programs can adapt. Progressive organizations are taking a radically different approach, implementing continuous learning platforms that combine foundational principles with real-time skill adaptation. They’re fostering partnerships with AI vendors, cloud providers, and educational institutions to create dynamic learning environments. The focus has shifted from traditional certifications to practical experience and adaptability – because, in 2025, the most valuable skill is the ability to learn and unlearn at the pace of innovation.

The Price Of Inaction

These mistakes are already impacting digital transformation efforts across industries. The organizations that will thrive in 2025 are those that recognize these issues for what they are: predictable, preventable problems that require immediate attention. The time to course-correct is now, before these compounding issues create problems too expensive and complex to fix. The choice is clear: address these challenges head-on today, or watch your digital transformation efforts falter tomorrow under the weight of avoidable mistakes.

11 Most Reliable AI Content Detectors: Your Guide To Spotting Synthetic Media

By Banking, Career, Cryptocurrency, Cybersecurity, Digitalization, Food for thought, UncategorizedNo Comments

Since the launch of ChatGPT just two years ago, the volume of synthetic – or fake – content online has increased exponentially.

Firstly, not all “fake” content is inherently bad. Generative AI text, image and audio tools have streamlined many repetitive tasks, from drafting routine letters and notices to storyboarding and prototyping in more creative projects.

But AI-generated content becomes problematic when it’s intended to mislead, misinform or spread fake news. Some have even gone as far as to say it threatens to destabilize democratic processes and create a “truth crisis.”

So what can be done? Well, luckily, a number of methods of differentiating between AI-generated and authentic content have been developed. These include sociological approaches, emphasizing the importance of education and critical thinking. They also include technological solutions, often leveraging the same generative and machine learning models used to create “fake” content, repurposed to detect it instead.

Here, I’ll focus on the latter. I’ll start by covering how they work, then take a look at some of the most popular tools and applications in this category.

The last few years have seen a big increase in both. However, the term “fake news” covers any deliberately constructed stories, lies, or disinformation designed to deceive. Whereas “deepfake,” “fake content,” or “synthetic content” specifically refers to content that’s not just designed to deceive but also generated by AI.

This deception could simply be for the sake of entertainment – as in the case of viral internet fakes like “deepfake Tom Cruise”, or “Pope In A Puffer Jacket.”

On the other hand, and increasingly, it could also be intended to cause real harm, such as influencing elections, damaging trust in public figures, or spreading geopolitical propaganda.

This year, ahead of upcoming elections in many countries, the WEF recognized AI misinformation as the biggest cybersecurity risk facing society. This all suggests that developing methods and tactics for identifying and combatting the rise of deepfake content is important for all of us.

What Are AI Content Detectors And How Do They Work?

In the simplest terms, most AI content detectors work by analyzing content and attempting to spot patterns that suggest it may have been generated by AI.

Often, they rely on AI itself to do this, leveraging neural networks that are trained to recognize typical traits.

For text, this could be particular phrases or ways of structuring information that is typical of large language models (LLMs), such as those powering ChatGPT or Google Gemini.

With images, this could mean looking out for telltale mistakes. For example, it’s frequently observed that AI image generators will often have difficulty with adding the correct number of fingers to their drawings of hands, correctly rendering text, and dealing with lighting and shadows.

It’s important to remember, however, that even the best tools are not foolproof. For example, it’s easy to mix AI and human-generated content to create hybrid content, but that’s likely to confuse AI content detectors.

Because of this, most of the tools covered here don’t categorically determine whether content is either AI or genuine. Instead, they are more likely to assign a probability or estimate how much of the text is likely to be AI-generated.

(To demonstrate this, I fed the text of this article, which is entirely human-written, into all of the text-based AI detectors mentioned here. You can see the results below)

The Best AI Content Detectors

AI Or Not

This paid-for site detects the use of generative AI in both images and audio.

Copyleaks

AI text analysis that’s widely used by businesses and academia.

Is this article written by AI? No

Deepfake Detector

Identifies fake video and audio with a claimed 92% accuracy.

Deepware

Deploy professional-quality deepfake detection resources on-premises for businesses.

GPTZero

One of the first widely available AI text detectors.

Is this article written by AI? 4%

Grammarly

The real-time grammar-checking plugin also offers an AI content detector.

Is this article written by AI? 50%

Hive Moderation

Designed to provide real-time moderation of video, audio and text content, also detects AI content.

Is this article written by AI? 0%

Is It AI?

Machine learning-powered AI image detector with free and paid-for options.

Originality

This lets you verify that the content you are planning to publish is authentic and trustworthy by checking it for AI, as well as plagiarism and factualness.

Is this article written by AI? 3%

Plagiarismcheck

Powerful AI text detection suite, with specialized tools for educational use cases.

Is this article written by AI? 0%.

Quillbot

Free-to-use AI text checker with no sign-up requirements.

Is this article written by AI? 0%

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Winston is a comprehensive AI checking tool that can detect fake images as well as text. It also offers a certification program, certifying content as human-created.

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As AI-generated content becomes increasingly sophisticated, the tools and technologies we use to detect it must evolve in parallel. While today’s AI content detectors offer valuable insights, they’re not infallible – as demonstrated by the varying results when testing this human-written article. The key lies in using these tools as part of a broader approach to content verification, combining technological solutions with critical thinking and digital literacy. As we navigate an increasingly complex information landscape, these detection tools will become essential components in our collective effort to maintain digital truth and combat harmful misinformation.

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What are the 4 Vs of Big Data?

By Banking, Career, Cryptocurrency, Cybersecurity, Digitalization, Food for thought, UncategorizedNo Comments

How do you know if the data you have is considered big data? There are generally four characteristics that must be part of a dataset to qualify it as big data—volume, velocity, variety and veracity. Value is a fifth characteristic that is also important for big data to be useful to an organization.

Our world has become datafied. From data that shows activity such as our Google searches and online shopping habits to our communication and conversations through text, smartphones and virtual assistants, and all the pictures and videos we take to the sensor data collected by internet-of-things devices and more, there are 2.5 quintillion bytes of data created each day. The better companies and organizations manage and secure this data, the more successful they are likely to be. How do you know if the data you have has the characteristics that qualify it as “big”? Most people determine data is “big” if it has the four Vs—volume, velocity, variety and veracity. But in order for data to be useful to an organization, it must create value—a critical fifth characteristic of big data that can’t be overlooked.

Volume

The first V of big data is all about the amount of data—the volume. Today, every single minute we create the same amount of data that was created from the beginning of time until the year 2000. We now use the terms terabytes and petabytes to discuss the size of data that needs to be processed. The quantity of data is certainly an important aspect of making it be classified as big data. As a result of the amount of data we deal with daily, new technologies and strategies such as multitiered storage media have been developed to securely collect, analyze and store it properly.

Velocity

Velocity, the second V of big data, is all about the speed new data is generated and moves around. When you send a text, check out your social media feed and react to posts on Facebook, Instagram or Twitter or make a credit card purchase, these acts create data that need to be processed instantaneously. Compound these activities by all the people in the world doing the same and more and you can start to see how velocity is a key attribute of big data.

Variety

Today, data is generally one of three types: unstructured, semi-structured and structured. The algorithms required to process the variety of data generated varies based on the type of data to be processed. In the past, data was nicely structured—think Excel spreadsheets or other relational databases. A key characteristic of big data is that it not only is structured data but also includes text, images, videos, voice files and other unstructured data that doesn’t fit easily into the framework of a spreadsheet. Unstructured data isn’t bound by rules like structured data is. Again, this variety has helped put the “big” in data. We are able to use technology to make sense of unstructured data today in a way that wasn’t possible in the past. This ability has opened up a tremendous amount of data that have previously not been accessible or useful.

Veracity

The veracity of big data denotes the trustworthiness of the data. Is the data accurate and high-quality? When talking about big data that comes from a variety of sources, it’s important to understand the chain of custody, metadata and the context when the data was collected to be able to glean accurate insights. The higher the veracity of the data equates to the data’s importance to analyze and contribute to meaningful results for an organization.

Value

While this article is about the 4 Vs of data, there is actually an important fifth element we must consider when it comes to big data. This is the need to turn our data into value. In fact, organizations that have not created a data strategy to yield insights and to drive data-driven decision-making are going to fall behind competitors. Big data that’s analyzed effectively can provide important understanding of customers and their behaviors and desires, how to optimize business processes and operations and to improve a nearly endless amount of applications. Whether you use data to create a new product or service or to understand a way to cut costs, it is incredibly important that big data creates value. This value is why organizations of every size must have a data strategy in place in order to ensure the data needed to achieve the business objectives they adopted are being collected and analyzed.

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