Generative AI: Exciting Possibilities and Important Questions

After my recent explorations into generative AI and attending the inspiring London Book Fair, I’m now diving deeper into generative AI’s broader impact on society, work, and the environment. There’s no denying it – generative AI is reshaping our world in remarkable ways.

Transforming the Information Ecosystem

Generative AI is rapidly changing how we create, share, and consume information. It’s become clear to me how powerful these technologies are, boosting productivity across knowledge sectors. However, alongside these exciting possibilities, I’ve found myself grappling with critical questions about its broader effects.

Environmental Footprint: A Double-Edged Sword

One aspect that really caught my attention was the environmental impact. Data centres – the beating heart of AI – consume vast amounts of energy, projected to surge globally from 460 TW in 2022 to an astonishing 1,050 TW by 2026. The sheer volume of resources, including significant water use and substantial CO2 emissions (552 tons from training just one GPT-3 model), made me pause.

Yet, there’s hope. Compact models and energy-efficient hardware are making strides to offset these impacts. Balancing these gains with AI’s expanding usage will be crucial, and it’s a trade-off I’m eager to see resolved sustainably.

Workforce Shifts and Regional Disparities

Another striking trend is generative AI’s unique impact on the workforce. Unlike previous automation waves, this technology predominantly affects highly educated, white-collar roles. In places like San Jose, up to 43% of workers could see significant changes in their tasks, compared to 31% in less office-oriented regions like Las Vegas.

This uneven impact highlights an urgent need for upskilling initiatives and supportive policies. As someone deeply invested in publishing, I see exciting potential here – AI could free creative professionals to focus on more innovative tasks, transforming how we approach knowledge work.

Productivity and Economic Growth

The economic implications are impressive. Research suggests generative AI might boost productivity growth by 0.1% to 0.6% annually through 2040. Such gains are critical for addressing slower employment growth in developed economies. The idea that AI could save knowledge workers roughly one day per week by streamlining information access is exhilarating, especially for industries driven by ideas and innovation.

Ethical Concerns and Societal Impacts

Despite these benefits, generative AI also poses risks – most notably misinformation through deepfakes and biased content. This underscores the importance of ethical guidelines. With over 190 countries adopting AI ethics frameworks, the global community clearly recognizes these challenges.

My Continued Journey with AI

Balancing optimism and responsibility, I’m deeply motivated to explore how generative AI can sustainably transform publishing and beyond. I believe in leveraging its vast potential while conscientiously addressing its challenges. This nuanced approach excites me, and I’m committed to contributing positively to this fascinating and evolving field.

AI at the London Book Fair: Reflections from an Inspiring Event

Having previously shared my fascination with generative AI and Small Language Models (SLMs) in the publishing industry, I eagerly anticipated the London Book Fair (LBF) 2025. Now that the fair has wrapped up, I’m buzzing with ideas and inspired by how prominently AI featured in this year’s discussions.

A Gathering of AI Enthusiasts

Olympia London was buzzing between March 11–13 as more than 30,000 attendees gathered from around the globe. Publishers, authors, technologists, and industry leaders explored the exciting ways AI is reshaping publishing. From engaging panel discussions to hands-on demonstrations, AI was everywhere.

AI and the Future of Copyright

One of the standout sessions was on AI and copyright policy, featuring Maria Pallante from the Association of American Publishers and Dan Conway from the UK Publishers Association. They highlighted the critical need for evolving policies to ensure AI benefits creators ethically. Their insights left me pondering the balance between innovation and protection—something I’m keen to explore further.

Audiobooks Powered by AI

I was particularly impressed by the expanded ‘audio village’, showcasing how AI is enhancing audiobook production. A memorable fireside chat between Helena Gustafsson (Storytel) and Ana Maria Allessi (Hachette Audio) revealed fascinating developments in AI-driven narration and personalized listener experiences. The rapid growth of audiobooks combined with AI’s capabilities promises an exciting new chapter for publishers and readers alike.

Captivating the Next Generation

The fair’s new focus on engaging younger readers resonated deeply with me. Authors Will Rayfet Hunter and Taylor-Dior Rumble discussed how AI-powered interactive storytelling and educational tools could draw young audiences back to reading. It’s inspiring to think of AI not only preserving but reinvigorating the passion for literature among future generations.

AI in Rights Management

The International Rights Center, bustling with nearly 550 tables, highlighted another practical AI application—streamlining rights negotiation. AI’s ability to rapidly analyze trends and predict market demands demonstrated impressive potential to simplify what has historically been a complex process. Seeing this firsthand made me optimistic about how AI can facilitate smoother global collaborations.

A Global Perspective

The international diversity at LBF enriched conversations around AI, especially with contributions from prominent attendees from China, Germany, the US, and more. Hearing author Liu Zhenyun discuss AI’s potential from a global storytelling viewpoint reinforced my belief that AI will continue to expand the creative possibilities for writers and publishers worldwide.

Looking Forward: My AI Journey Continues

Leaving the fair, my excitement for integrating AI into publishing is stronger than ever. The potential for AI-driven innovation—from personalized content to streamlined processes—is vast and thrilling. I can’t wait to put these insights into action, continuing to explore how AI can elevate storytelling and publishing in meaningful ways.

Small Language Models, Big Impact – My Next Chapter in AI Publishing

It’s amazing how much can change in a short time. Not long ago I shared my journey into generative AI in publishing, marveling at everything from AI co-authors to agentic chatbots. Since then, I’ve been drawn to a new star on the AI horizon: Small Language Models, or SLMs for short. If the GPT-4s of the world are like blockbuster bestsellers, think of SLMs as the brilliant novella – more compact, but with their own kind of power. In this follow-up, I’m diving into how these “fun-sized” AI models are poised to revolutionize the publishing industry. Spoiler: I’m really excited about what I’ve discovered, and I think you will be too.

Tiny Titans: The Rise of SLMs

When I first heard about small language models, I pictured a classic David-versus-Goliath scenario in AI. SLMs might have only a fraction of the parameters of the giants, but they’re already punching above their weight . No wonder many folks now view these compact systems as a more targeted, cost-effective way to implement AI .

So what exactly is an SLM? Essentially, it’s a language AI that’s been put on a diet. We’re talking models that might have a few million to a few billion parameters, instead of the hundred-billion-plus behemoths hogging the spotlight . Because they’re smaller, they need less data and computational muscle to train and run. That makes them cheaper and faster, without necessarily sacrificing too much intelligence. We even saw this in action recently: Microsoft unveiled a model called Phi-4 that reportedly outperformed some larger models at math reasoning and language tasks . The fact that a lean 13-billion-parameter model can beat out a bloated one in certain tasks still blows my mind.

Even industry leaders are taking note of the “smaller is smarter” movement. Nandan Nilekani, a tech leader in India, captured it well by noting that big firms want to “take charge of our AI destiny” – and they can do so with small, task-specific models rather than gigantic ones . It’s a practical approach: not everyone has the budget or patience for a huge model, and SLMs ease that burden by running on fewer resources and even offline, which helps address data privacy concerns too .

Big Benefits of Going Small

Accessible and Affordable, Easier to Customize, More Energy Efficient, Cheaper to Develop, and Valuable for Educational Purposes – these are some of the often-cited advantages of small language models. In other words, bigger isn’t always better in the AI world . Let’s break down a few key reasons why SLMs shine compared to their giant counterparts:

• Efficiency & Speed: SLMs are inherently lean. They require far less memory and computing power to operate, which means they can run fast even on modest hardware. Fewer parameters also translate to quicker responses – no more waiting for a sluggish cloud AI to finish your sentence. This lightweight design makes them more energy-efficient as well, consuming less electricity and leaving a smaller carbon footprint .

• Accessibility & Cost-Effectiveness: Because they don’t demand expensive supercomputers or massive GPU clusters, SLMs are bringing AI to the masses. A researcher or writer with a decent laptop can experiment with language AI without a mega-budget . For publishers and indie authors, this is huge: it lowers the barrier to using AI in content creation. Smaller models are also easier to deploy on-site or on personal devices, keeping everything offline for maximum privacy . In an age of tight budgets and strict privacy norms, having a capable AI assistant that doesn’t break the bank (or expose your manuscript to the internet) is a real game-changer .

• Adaptability & Fine-Tuning: One of my favorite things about SLMs is how trainable they are. Need an AI that excels at Victorian-era prose? Or one that understands medical-journal jargon? With SLMs, it’s feasible to fine-tune a model on a specific corpus or task without weeks of training time or a million-dollar cloud bill . These smaller models can quickly adapt to niche domains and often perform better than large general models in those areas . In fact, this specialization sometimes lets an SLM outshine a much larger model on certain benchmarks .

SLMs in Publishing: Big Creativity from Small Models

How do these advantages play out in the publishing world? As someone eager to integrate AI into my writing and editing workflow, I see SLMs fitting in perfectly. Here are a few ways small language models could boost creativity and productivity in publishing:

• Co-Author and Brainstorming Buddy: Imagine having a personal AI sidekick on your laptop, trained on your favorite writing styles. Need ideas for a plot twist at 2 AM with no internet? Your offline SLM is ready to riff in the voice of a noir detective or a Regency-era narrator – whatever style you’ve taught it. The best part is that it’s your model, tuned to your preferences, so it often “gets” your prompts better than a generic AI would. I’ve found that a custom-tuned SLM can spark my creativity in unexpected ways, all while keeping the entire process private.

• Turbocharged Editing Assistant: Editing and proofreading are crucial in publishing, and SLMs can be the tireless assistant editors always wished for. You might have one model fine-tuned on grammar and style rules catching every last Oxford comma issue, and another trained on your publication’s past content checking for tone and consistency. They also excel at summarizing text – a handy tool when an editor wants a quick synopsis of a 400-page manuscript. Essentially, it’s like having a junior editor who never sleeps and can instantly recall the entire Chicago Manual of Style on demand.

• Faster Content Creation & Repurposing: Publishing isn’t just about books; it includes blogs, articles, marketing copy, social media posts – a deluge of content. SLMs shine at generating draft content quickly in a controlled manner. For example, a small model trained on your magazine’s archives could whip up a first draft of a routine news story with the right tone and facts in place. They can also help repurpose material: feed it a lengthy research paper, and an SLM can spit out a snappy summary or a handful of tweet-sized highlights. This boosts productivity and frees up human writers to focus on polishing the content – adding the humor, voice, and soul that only humans can.

• Multilingual Magic: I’m particularly excited about using SLMs to bridge language gaps. In global publishing, we want to bring stories to readers in many languages. Large models tend to be English-centric, but a smaller model can be trained specifically on, say, Arabic or Swahili texts without needing an enormous dataset. Yann LeCun even suggests that SLMs could help close the AI’s linguistic diversity gap . Imagine a publisher’s mini-model, trained on a trove of literature in a local language, assisting translators or even drafting text directly in that language. More stories could be shared worldwide because the AI tools to adapt them are finally accessible. For writers and readers in less-represented languages, that’s a very hopeful development.

Across all these examples, one thing is clear: SLMs amplify human creativity and efficiency – they don’t replace it. A writer remains the master storyteller, but now with a smart muse on standby. An editor is still the ultimate curator of quality, but now with a supercharged eagle-eye for errors. And the fact that these AI helpers can be deployed without heavy infrastructure or dependence on big tech makes it all the more empowering for independent creators and small publishers.

Looking Ahead: Small Models, Big Ambitions

A paper rocket lifting off a stack of books – a fitting visual metaphor for how I see SLMs propelling the publishing world into the future. The technology behind storytelling is evolving at breakneck speed, and I feel incredibly energized by the possibilities. Just as that little rocket suggests, even a compact model can launch our ideas to new heights.

Going forward, I’m keen to experiment even more with small language models in my own projects. I plan to fine-tune some mini-models on different writing styles and topics to see how they might assist in crafting a research paper one day and a sci-fi short story the next. The beauty is that this hands-on tinkering is actually feasible for people like me – a just PhD researchers in a lab.

My outlook is overwhelmingly optimistic. Yes, there will be challenges (we’ll need to keep our small models accurate and unbiased, and maintain a healthy human-AI balance). But as I continue this journey, I’m struck by how far we’ve come in making AI a friendly collaborator in creativity. In the grand story of publishing, SLMs just might be the next exciting chapter – empowering voices and ideas that might not have flourished otherwise. And I, for one, can’t wait to turn the page and see how it all unfolds.

My Journey into Generative AI in Publishing

I’ve always been fascinated by artificial intelligence – not just the cool gadgets in sci-fi movies, but the real AI that’s increasingly part of our daily lives. From smart assistants that recognize my voice to algorithms curating my social media feed, I can’t help but wonder about AI’s huge impact on society. Lately, my curiosity has zeroed in on a specific question: How is generative AI reshaping the publishing industry? As an avid reader and an aspiring researcher, I’m both excited and cautious about what this means for the future of books, articles, and storytelling.

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Agentic AI: When Chatbots Get Ambitious

A robotic hand types on a laptop, symbolizing AI-powered writing. One of the latest buzzwords I’ve encountered in my AI adventures is agentic AI. In simple terms, agentic AI refers to AI systems that don’t just generate content on command, but can autonomously take actions and make decisions to achieve a goal. Essentially, it’s like giving a chatbot a bit of independence and a mission. Instead of only responding to prompts, these AI “agents” can plan tasks, use tools, and adapt on the fly – acting almost like a virtual assistant with a mind of its own. Tech experts describe agentic AI as a system with the “agency” to perform tasks on behalf of a user by orchestrating its own workflow ibm.com. Imagine asking an AI not just to write an article, but also to research the facts, fetch relevant images, and publish it online while you sit back and sip coffee. That’s the kind of future agentic AI promises. It’s still early days for this technology, but 2024 has seen surging interest in these autonomous AI agents, sparked by experiments like Auto-GPT that loop GPT-4 outputs to accomplish complex goals arstechnica.com. The publishing world is paying attention – if AI can start doing end-to-end content creation, that’s a potential game-changer.

So how exactly is generative AI (and its more ambitious cousin, agentic AI) influencing publishing right now? Let’s dive into what I’ve observed, from the thrilling opportunities to the tricky challenges.

Exciting Opportunities: AI as Co-Author and Super-Tool

When I first tried using a generative AI model to help with my business writing, I felt like I’d discovered a superpower. Many authors and publishers are experimenting with AI as a creative partner rather than a threat. It’s not just hobbyists like me – a recent survey found that half of publishers are already using generative AI in some form fadel.com. That number amazed me, confirming that this trend is more than just hype. Based on what I’ve read and experienced, here are some exciting ways AI is boosting the publishing process:

• Lightning-fast content creation: Writer’s block, begone! Generative AI can whip up drafts of news articles, blog posts, or even short stories in a fraction of the time it takes a human. This doesn’t mean the end of human writers – rather, it offers a first draft or a pile of ideas to build upon. News organizations have tapped AI to produce routine reports at record speed. For example, the Associated Press has been using AI since 2014 to generate breaking news updates and financial reports, delivering information to readers faster than ever fadel.com. As an impatient writer, I find it exciting that mundane writing tasks can be offloaded to AI, leaving us humans more time for the creative, juicy parts of storytelling.

• Smarter editing and proofreading: I’ll admit it – grammar is not my favorite part of writing. AI to the rescue! Modern AI editing tools do more than just catch typos; they can suggest rewrites, simplify complex sentences, and ensure a manuscript follows a consistent style. Publishers are leveraging these tools to streamline editing workflows and maintain quality. An AI can enforce a style guide across thousands of articles with unwavering consistency fadel.com. It’s like having a tireless copy editor on call 24/7. This not only saves time but also helps less experienced writers (like me) polish their work to professional standards. In academic publishing, it’s even leveling the playing field for researchers who aren’t native English speakers by helping articulate their thoughts more clearly wiley.com.

• Creative collaboration: Perhaps the coolest part is using AI as a brainstorming buddy. Stuck on a plot twist or looking for the perfect headline? Generative AI models can churn out a dozen suggestions in seconds. While not every idea will be gold, they often spark my own creativity. The AI can propose character dialogue or background descriptions that a human writer might refine and integrate. This collaboration can lead to fresh, innovative content that neither could have produced alone. In essence, AI is becoming a versatile tool in the writer’s toolbox, from generating images for book covers to narrating audiobooks with lifelike synthetic voices. It’s also leveling the playing field; even a solo author today has AI tools for research, illustration, and marketing that once required a team. As someone dreaming of publishing my own book, I find that tremendously empowering.

The Other Side of the Coin: Challenges and Concerns

It’s not all sunshine and rainbows, of course. As much as I geek out about AI’s potential, I also worry about some of the storms it’s stirring up in the publishing world. Embracing generative AI means we have to grapple with serious ethical and practical challenges. Here are a few that keep me up at night (and why I’m glad people are talking about them):

• A ‘Closed’ sign, symbolizing halted submissions due to AI-generated story spam. Flood of AI-generated content: If AI makes writing so easy, what’s to stop an avalanche of auto-generated books and articles? It’s already happening. Not long ago, a renowned sci-fi magazine, Clarkesworld, had to halt story submissions because it was inundated with hundreds of AI-generated entries from people trying to make a quick buck pcmag.com. The editor lamented that the surge of obviously machine-written stories was clogging up the system for real authors. Similarly, the internet has seen an explosion of cookie-cutter e-books produced by AI. Reuters reported that by early 2023, there were already hundreds of books on Amazon listing ChatGPT as an author or co-author vice.com. As an aspiring author, this freaks me out a bit – how will genuine voices get heard if the online bookstores are crowded with auto-written content? This deluge also raises quality concerns, because many AI-generated works are, frankly, not good yet.

• Accuracy and trust issues: We’ve all heard the saying “don’t believe everything you read.” That becomes even more crucial when AI is involved. Generative AI doesn’t really know truth from fiction – it just produces plausible-sounding text. This has led to some high-profile missteps. One example that made me cringe was when a major tech site, CNET, tried using AI to write financial articles, but had to issue corrections after discovering the stories were rife with errors – a fiasco the Washington Post dubbed a “journalistic disaster” xenoss.io. This incident shows how risky it can be to rely on AI outputs without human oversight. As a reader, it was a wake-up call – if publishers lean too heavily on unvetted AI, they could lose our trust.

• Ethical and legal quandaries: There’s also a maze of unresolved questions about who owns AI-generated content and how to keep it fair. If an AI writes an article, who is the author? (My gut says the human who used the AI, since an AI isn’t a person – but the law hasn’t caught up yet.) Publishers are also wrestling with potential copyright issues since AI models train on existing works. If a model was trained on my novel and then generated something similar, is that plagiarism or just inspiration? Many writers I know fear their jobs could be automated away. Groups like the Authors Guild are urging ethical guidelines to make sure AI doesn’t undercut the writing profession authorsguild.com. We’ll need to figure out how to credit AI’s contributions and where to draw the line on using others’ work. It’s challenging, but I’m hopeful we’ll get it right.

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Looking Ahead: Excited to Explore Further

I feel both excited and responsible at this crossroads. I’m thrilled by the possibilities – I could dream up a story and have an AI help me bring it to life while I focus on the creative sparks. But I also know we have to tread carefully. Publishing has always been about amplifying voices responsibly, and that shouldn’t change just because the pen is now partly digital.

Every day brings a new breakthrough or cautionary tale. I plan to keep exploring, experimenting, and talking with other researchers. Generative AI in publishing isn’t just a tech trend to me; it’s a fascinating evolution in how we create and consume stories. With a balanced approach – embracing the opportunities while minding the pitfalls – I believe AI and human creativity can thrive together. As a researcher in the making, I can’t wait to be part of that future.

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Making sense of MVP (Minimum Viable Product)

What a driverless world could look like !

What if traffic flowed through our streets as smoothly and efficiently as blood flows through our veins? Transportation geek Wanis Kabbaj thinks we can find inspiration in the genius of our biology to design the transit systems of the future. In this forward-thinking talk, preview exciting concepts like modular, detachable buses, flying taxis and networks of suspended magnetic pods that could help make the dream of a dynamic, driverless world into a reality.

iBeacon: The New Digital Dimension

‘Connecting Minds, Creating the Future’

Dubai Design District, or d3 is the latest addition to Dubai’s Smart City vision set to be unveiled at the World Expo 2020, entitled, ‘Connecting Minds, Creating the Future’.

The district is employing break through technologies like Apple’s iBeacon to aggregate and analyze data from various sensors, solutions, and partner applications to support a wide range of urban services.

Smart Solutions

The district was the smart destination of choice to inaugurate the Internet of Things World forum in association with Cisco, hosting a variety of life – enhancing initiatives, including smart parking meters, smart energy meters, smart waste management and smart security solutions.

What is the Internet of Things?

The Internet of Things (IOT) is the network of physical objects, devices, vehicles, buildings and other items, embedded with electronics, software, sensors, and network connectivity that enables these objects to collect and exchange data.  IOT is opening up a world of capabilities with immense possibilities.

What is iBeacon?

iBeacon, also referred to as just Beacon is the name of Apple’s Bluetooth low-energy (BLE) wireless technology capable of providing location-based information and services to both iOS and Android smartphone devices.

The one-way communication method can broadcast or ‘advertise’ self-contained packets of data, which are collected by devices such as smartphones and used for a variety of smartphone applications to trigger actions like push messages, app responses, and prompts.

Users must install specific apps on their smartphones to interact with the beacons, a safety measure that prevents users being spammed or potentially tracked against their will.  There has also been some discussion of iBeacon’s capabilities as a payment system but Apple has released a separate system of NFC (Near Field Communication) for it’s Apply Pay, a two-way technology with a shorter radius.

One application of the technology is using points of interest, such as a store, bus stop, room or a more specific location like a piece of furniture or a vending machine, to trigger delivery of the packets.

What’s great about the technology is that it’s so easy to use.  BLE is a wireless personal area network technology used for transmitting data over short distances with minimal energy consumption and cost.  It can last up to 3 years on a single coin cell battery.

How iBeacon is Boosting Business

iBeacon technology opens up a whole new universe of marketing to retailers and the ability to engage shoppers in-store where it matters most.  It allows you to intersect shoppers in the path-to-purchase and deliver contextual experiences at the peak of their relevance to consumers. This specific targeting vastly drives usage, retention and new ad revenue.

Imagine you can install apps on your phone that only receive relevant information when you are in the vicinity of that product or service. Retail apps that notify you of special offers as you enter a store, museums that deliver information about an exhibit you are viewing, arenas that transmit full event details, restaurants that highlight a dish of the day, or even traffic messages warning of congestion as you enter certain areas. The possibilities are limitless.

Who’s Using iBeacon Successfully?

iBeacon solution, inMarket has been the first to take the technology into the mass market with their Mobile-to-Mortar platform in the United States.  The platform enables publishers, retailers, and brands to connect with consumers in-store and is the first multi-retailer implementation of iBeacon technology, spanning 250 grocery store locations working with over 100 brands and reaching 20 million shoppers Other companies like Mobiquity Technologies have followed suit, installing iBeacon-enabled networks into the corridors and common areas of over 100 U.S. malls.

McDonalds implemented iBeacon across 26 of it’s franchises in Georgia, USA over four weeks, recording an 8% uplift in McChicken Sandwich sales and 7% Chicken McNugget sales.  These are impressive results that have spurred other major brands like Virgin Atlantic and Easyjet to trial the technology to improve their customer experience beyond their competitors.

Who’s Using iBeacon Successfully in MENA?

Knoq.me, is a Dubai based startup using iBeacon technology to make the Emirates Smart vision a reality.  Knoq is a free iOS and Android compatible application to deliver push notification from iBeacons in real-time location and trigger smartphone functions to enhance user experience.  In basic terms, it allows companies, especially retailers, to deliver event advisories, hot deals, announcements, discount coupons and other useful tips based on real time locations.

The GCC based, Al Madani Group of companies recently implemented the technology to provide a greater customer experience across its Levi’s, Dockers and Charley’s Bagel Bar brands.

The Future of iBeacon

This article outlines the immense successes of iBeacon since it’s launch in 2013 even whilst still in its infancy.  The Internet of Things is on the brink of exponential growth that will revolutionize the way we interact with each other and it is imperative that brands begin to embrace this technology now to position themselves ahead of the competition, before they get left behind.

Scrum Master in an Agile World

At Brand Lounge, we deeply understand the immense power of creativity.  It is integral to our growth and the success of our clients. Embarking on a creative endeavor is an energy rich process that must be harnessed correctly in order to spark a new, previously unseen thought or for an idea significantly different from the past to come into existence.

Since creative power is an energy flow, having the ability and power to manifest a creative idea is an art.  The collaborative nature of a well managed team allows individuals from diverse backgrounds to combine their expertise, experiences and perspectives in a conducive environment for knowledge, passion and understanding to openly interact.

Ideas surrounding the best methodology to achieve maximum performance within an organization continue to be developed and exchanged over time, but one of the greatest enduring concepts is that of Agile software development.

What is Agile Software Development?

Rooted in the 1950’s but rising to main-stream prominence in the tech boom of the 1990’s, Agile is a collection of software development methods that evolved as a response to the need for rapid, flexible and adaptive planning, evolutionary development, early delivery and continuous improvement.  It focuses on the collaboration of self-organizing, cross-functional teams, rather than an overarching sole manager.

Agile was originally implemented in software development in direct opposition to the ‘waterfall’ methodology of sequential development, asserting that if software was developed like an automobile on an assembly line, it would take so long that the technology would be considered old before it was even fully finished.

However, the Agile techniques can be applied to the development of non-software products and to the general management sphere.  Agile Business Management is particular relevant to the fields of strategy, governance, risk and finance.

Scrum Product Development – An Agile Software Development Framework

Scrum is a product development strategy based on the Agile Software Development Framework.  First defined in 1986 by Hirotaka Takeuchi and Ikujiro Nonaka, it is a form of, ‘organizational knowledge creation’, that brings about, ‘innovation continuously, incrementally and spirally’, to increase speed and flexibility in product development.

The name Scrum, was originally derived from the rugby term for the tight-packed formation of players with their heads down, attempting to gain possession of the ball.  It mirrors the structure of one cross-functional team performing multiple overlapping phases, trying ‘to go the distance as a unit, passing the ball back and forth’.

The Scrum Workflow

As opposed to traditional sequential development like the example of the car assembly line, Scrum focuses on an iterative and incremental approach of repetitive, abbreviated work cycles.  These ‘sprints’ allows teams to work seamlessly for two weeks before re-evaluating the progress and direction of the project.  Two weeks is seen as an ideal frame of time to achieve work but also steer the project in another direction if necessary.

The Members of a Scrum Team

The Scrum framework highlights three core roles that represent the scrum team:

• The Product Owner: performs the core communication function, ensuring the team delivers value to the stakeholders.
• The Development Team: made up of 3-9 individuals, they are responsible for the actual work and delivering the product goals at the end of each sprint.
• The Scrum Master: is responsible for removing impediments that may prevent the team delivering the product goals and deliverables.

How Does a Scrum Master Differ from a Traditional Manager?

The function of the scrum master varies from traditional team leader or project manager, because their role is merely to act as a buffer and ensure the smooth implementation of the scrum framework.  They do not get involved in people management responsibilities, scrum masters are purely present to facilitate the product development process.

Why is Scrum Important for the Creative Process?

The Scrum Framework provides a ripe and flexible environment for individuals to organize themselves in the most conducive way to reach a common goal.

Innovation requires creative freedom and interaction, but client deadlines also require a pre-defined time frame.  Scrum unites these two diverse notions in an approach that increases the speed and flexibility of product development whilst also maximizing space for creativity.

We practice a scrum mentality at Brand Lounge and it has assisted us in achieving impressive results.  Although it can take time to align all stakeholders and refine the process, the results are well worth it.  Feel free to get in contact if you have further insights, we’re all about development!

Will your brand survive the digital paradigm?

Just in case you didn’t get the memo (because we were still sending “memos” when this was news) there’s a digital revolution going on. “Pathetic!” You are thinking. “Everyone knows about digital”, but you’d be wrong, or so it seems, because I meet businesses every day that just don’t seem to get it! I might even mean you, because there are a load of folks out there who talk a lot about digitisation, but still don’t really understand what it means.

So, just for the record, digital is changing everything. Yes, I mean EVERYTHING and if that’s news to you then there’s a good chance you’ll be one of the 70% of businesses that fold in the next very few years. That’s because those that will survive have already moved a long way down Transformation Road and most of those starting out now will fold trying to catch up.

At the current rate of change two billion new customers will have entered the world market in the period between 2010 and 2020. Good news? Yes, but only if yours is a business built on a digital model because pretty well all of these new customers will only be accessible to digital businesses. Now do I have your attention?

So, what are you doing about it? Is there anything you CAN do at this late stage? Well my mother used to say it’s never too late to change, so while you strap your skates on, listen up, because these are the first six questions you need to ask yourself to get an idea of where you stand.

1: Are you thinking Digital?

By this I mean do you come up with initiatives and then ask what role digital can play in this? If so the answer to question one has to be “No”. If you are digitally aligned your thinking will be driven by digital and you’ll be asking how you interpret this in a physical situation.

2: Is your organisation centred on a database?

A digital business is built on a database where everything about your product (Not just images, features and benefits, I mean everything, including customer feedback and third-party reviews) is kept and all your functions feed from.

3: Do you have a process in place to maintain this?

A database that isn’t up to date is a bit like a computer without software. There will be loads of processes involved in maintaining your database including those recording product and inventory changes, copy for ads and listings and product photography management. How are you going to keep all this up to date?

4: Are you listening to your customers?

People talk about your company, your brand and your products all day every day and if you are not in the loop you can bet you last pay cheque that your competitors are, so you’ll be left behind when they respond to your customers’ needs and entice them all way. You should be monitoring social media and engaging people on the forums where they are talking about you.

5: Are you truly omni-channel or just multi-channel?

Can people enter your business from any number of doors, physical and digital and have the same experience? Will their previous visits be taken into account and referenced when they arrive subsequently through a different door? Are you tailoring their experience based on their actions?

6: Are your employees in the loop?

Are your employees all involved in your intranet? Are you using digital as part of your internal marketing to constantly updating their understanding of your brand and making them aware of the changes they need to make in the way they do things in order to contribute fully to the delivery of your brand promise?

If you are struggling to say “Yes” to all of these then you have your work cut out, because that’s where the world is “at” right now. There are a lot more question like this that you need to be asking yourself of course, but now you have a snap-shot of what’s required let me know how ready you feel by answering this …

quick poll

Charity Sync { SIGN UP }

Our aim is to elevate the overall social-utility by compounding  charitable activities of individuals in their local community. We are objectively working to achieve this incrementally but in a disruptive way with few surprises under our sleeves… 🙂

Signup to be the first to receive a sneak perview of our alpha site planned for release in Q1 2015. A closed group access with limited spaces.

Signup for limited early invitation

Interstellar

For some reason the classic poem featured in Interstellar has touched me and echoed my despair in a subtle way..

DO NOT GO GENTLE INTO THAT GOOD NIGHT

Do not go gentle into that good night,
Old age should burn and rave at close of day;
Rage, rage against the dying of the light.

Though wise men at their end know dark is right,
Because their words had forked no lightning they
Do not go gentle into that good night.

Good men, the last wave by, crying how bright
Their frail deeds might have danced in a green bay,
Rage, rage against the dying of the light.

Wild men who caught and sang the sun in flight,
And learn, too late, they grieved it on its way,
Do not go gentle into that good night.

Grave men, near death, who see with blinding sight
Blind eyes could blaze like meteors and be gay,
Rage, rage against the dying of the light.

And you, my father, there on the sad height,
Curse, bless, me now with your fierce tears, I pray.
Do not go gentle into that good night.
Rage, rage against the dying of the light.

by Dylan Thomas

The Age of { Abundance }

Our planet is witnessing a turning point as social entrepreneurs across the globe are working around the clock in an attempt to solve humanity’s grand challenges. I strongly believe that we will eventually stumble into ‘Abundance’ unintentionally where resources are super-efficiently utilised and charitable enactment becomes habitually ingrained into our daily lives.

Humanity’s consciousness will leap forward to new level of connectedness via a vast interoperable systems and seamless integration of smart wearable technologies. This can lead to instance demand fulfillment, in a way, the world will be a responsive and an agile place where a “legitimate need” is fulfilled instantly. Check out the butterfly effect, the term first coined by Edward Norton Lorenz.

New technologies that could contribute in this space:

1. 3d Printing
2. Mobility & the Cloud
3. In-memory Computing
4. Three-factor Authentication
5. Global Wireless Coverage
6. Smart Wearable Artifacts

 

An awesome team is attempting to take micro payment and recycling to the next level. {watch this space}

CHARITY SYNC !

BABY STEPS TOWARDS A DREAM … Get early invitation

An awesome team of social entrepreneurs is stepping up to a challenge, at the heart of this project lies the concern of inequality and injustice our world is witnessing with “at least 80% of humanity lives on less than $10 a day”.

According to UNICEF, 22,000 children die each day due to poverty. And they “die quietly in some of the poorest villages on earth, far removed from the scrutiny and the conscience of the world. Being meek and weak in life makes these dying multitudes even more invisible in death.”

In 2005, the wealthiest 20% of the world accounted for 76.6% of total private consumption. The poorest fifth just 1.5%:

For more drastically dazzling facts please visit globalissues.org

One thing for sure, the team is working quietly to disrupt the market place in an attempt to narrow down this inconceivable gap. Sign-up to get early invitation.

Jack Ma and the { 40 } Tips

What a remarkable journey Mr Ma …

Illustration: Henry Wong

Failed his college entrance exam twice before succeeding on his third attempt. After schooling, received more than a dozen job rejections including KFC! to finally land on an English teaching job, earning him a mere $12 a month. Few years down the line, his entrepreneurial path has led him to two venture failures with the third attempt finally settling him in with –> Ali Baba {the rest is news!}

Here are 30 tips of success by Jack, the tips in Chinese are translated into English by Carl Pei.

1. List three of the most important things every day.
2. Arrive at least ten minutes earlier than others to the office.
3. Think before speaking – a few seconds would be enough.
4. Before throwing a tantrum count to 30.
5. Whenever in doubt, pick the hardest thing to do.
6. Everything you do should have a deadline.
7. Always sit in the front row.
8. Always observe people who are walking in front of you.
9. Leave the office at least ten minutes later than others.
10. Remember the names of everyone around you.