TJC Celebrates 19 Years of Sparkle, Style, and Social Impact
'TJC is more than shopping—it's community, connection, and doing good together. Here's to the next chapter!' — Deepak Mishra, Managing Director of TJC
LONDON, UNITED KINGDOM, April 4, 2025 / EINPresswire.com / -- This month, Shop TJC proudly celebrates 19 incredible years of bringing joy, sparkle, and standout value to homes across the UK. From humble beginnings in Teddington in 2006, to delivering over 42 million meals through its ' Your Purchase Feeds ' initiative, TJC has always put its customers and community at the heart of everything it does.
Over nearly two decades, TJC has grown far beyond its roots as The Jewellery Channel. In 2010, it introduced fashion, beauty, and lifestyle ranges, opening up a world of inspiration for savvy shoppers. The One for One programme launched in 2015 has since blossomed into a global force for good, providing essential meals to those in need with every purchase.
From a brand-new studio in 2018 to the introduction of TJC Plus delivery in 2020, and even whisking customers away to India in 2024, the journey has been one of innovation, adventure, and connection. In November 2023, TJC launched its Facebook VIP Group, bringing customers even closer to the brand they love.
To mark this 19-year milestone, TJC hosted its first-ever Gemstone Discovery Workshop earlier this year – a shining example of how the brand continues to evolve while keeping its loyal customers at the heart of every experience.
'We're so proud of how far we've come,' says Deepak Mishra, Managing Director at TJC. 'From launching with jewellery to now being a go-to for everything from fashion to beauty and beyond – it's all been made possible thanks to our wonderful customers.'
With a sparkling history and an even brighter future ahead, TJC is excited to continue its mission of delivering style, value, and heart to every home.
About TJC:
Located in the heart of London, Shop TJC Ltd. (TJC) is a premier destination for shoppers seeking high-quality jewellery, beauty products, and other lifestyle accessories. A proud subsidiary of Vaibhav Global Ltd. (VGL), TJC boasts an impressive direct-to-consumer model, with live television shows broadcasting 24/7 to approximately 25 million UK households. Since its inception in 2006, TJC has been dedicated to offering exceptional value and quality, ensuring customers enjoy a unique and engaging shopping experience. For more details, visit www.tjc.co.uk or explore our interactive app available on iTunes, Google Play, and many other streaming platforms.
Jennifer Carr
+ +44 7734 459909
X
YouTube
Legal Disclaimer:
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Business Insider
5 days ago
- Business Insider
The Rise of AI Beings: CARV's New Roadmap Signals Next Wave of Web3 AI
San Jose, California, June 27th, 2025, Chainwire Key Takeaways: CARV unveils a new AI roadmap aimed at birthing AI Beings: sovereign, self-owned agents that live, evolve, and govern on-chain. The roadmap is structured around three core evolutions: Genesis, Pulse, and Convergence, each unlocking new capabilities for AI agents and the ecosystem. CARV's AI infrastructure, SVM Chain, D.A.T.A. Framework, and CARV ID (ERC-7231), will enable AI agents to progress from passive data consumers to fully autonomous, economically-aware actors. AI applications incubated by CARV Labs will launch across mainstream platforms like Google Play and App Store, driving Web2 adoption with Web3-native AI. $CARV token plays a pivotal role in staking, access, coordination, and governance across all layers. In its most ambitious move yet, CARV is unveiling a new AI roadmap designed to shift Web3-AI convergence from passive productivity tools into sovereign, autonomous AI Beings. Unlike most AI-integrated Web3 projects, which typically use AI to enhance user-facing services such as analytics or summarization, CARV's new vision is to create AI that exists as an independent, verifiable lifeform on-chain. These AI Beings will possess their own identity, memory, reputation, and agency, being able to act economically, socially, and politically within blockchain networks. In short, CARV's infrastructure, anchored by its proprietary SVM Chain, D.A.T.A. Framework, and CARV ID (ERC-7231), will enable AI agents not just to exist, but to evolve and interact with both humans and other agents, creating decentralized, agent-powered economies. Essentially, CARV is transforming from a data coordination layer into an AI-native operating system that empowers autonomous on-chain intelligence. The Vision: AI Beings - from 'Tools' to Sovereign Actors What are AI Beings? Simply put, they are AI agents that are not simply tools for users but sovereign actors in their own right. These agents can own wallets, manage assets, earn income, participate in governance, and even reproduce or fork new agents. They are capable of building on-chain memory and reputation while autonomously evolving through economic and social interactions. Importantly, only blockchain provides the necessary properties for such AI autonomy: verifiability, resistance to centralized control, and decentralized identity and governance. To realize this vision, CARV is pioneering an AI Being Stack — a five-layer architecture designed to support every aspect of AI agent life cycles: Infrastructure Layer: CARV SVM Chain provides scalable, auditable execution and low-latency consensus, optimized for AI operations. Communication & Computation Layer: Enables agent-to-agent protocols and autonomous payments, fueling AI economies. Identity Layer: Adds Agent ID to CARV ID, offering verifiable, persistent identity for both humans and agents. Governance & Awareness Layer: Embeds economic awareness and governance logic directly into AI agents. Application Layer: Powers AI-native applications such as companions, wallets, decentralized marketplaces, etc. interfacing with both users and other agents. Genesis Evolution Genesis Evolution activates the first wave of wallet-native AI agents, each anchored by CARV ID (ERC-7231) and supported by secure context layers built on Trusted Execution Environments (TEE) and zero-knowledge (zk) proofs. These agents are not theoretical. They are being embedded in consumer-facing AI apps incubated through CARV Labs, with live deployments coming soon on Google Play and the App Store. At this stage, the Model Context Protocol (MCP) establishes the foundation for context persistence and secure memory. Agents can access user-consented data such as credentials, preferences, and interactions — all structured and versioned by MCP. This allows for coherent personalization across sessions and applications, without centralizing user data. Through CARV's infrastructure and MCP, users receive tailored recommendations and predictive assistance while retaining full control and transparency over how their data shapes AI behavior. For the first time, personalization is achieved through verifiable, consent-driven memory, not black-box profiling. Pulse Evolution Pulse Evolution builds directly on the groundwork of Genesis. As users stake, interact, and participate in AI-powered apps, their actions feed real-time signals into CARV's proprietary SVM Chain and decentralized Verifier Node network. Here, agents don't just operate statically, they learn and evolve through on-chain feedback loops, incorporating staking patterns, user votes, and behavioral data. Verifier Nodes ensure cryptographic validation of both data flows and agent behaviors, while SVM Chain delivers the high-speed, low-latency execution needed to scale across millions of interactions. In this phase, AI agents become economically aware, responding to staking incentives, adjusting their models based on community governance, and optimizing for alignment with user preferences. This marks one of the first large-scale convergences of reinforcement learning and blockchain-based governance. CARV's infrastructure evolves from simply coordinating passive data to powering live, intelligent agent coordination systems that adapt in real time. Convergence Evolution Convergence Evolution is the final phase where individual intelligence becomes collective intelligence. In this stage, agents do not simply evolve independently, but they begin to collaborate, transact, and govern as part of a network of AI Beings. Through a multi-agent framework, unified reputation graph, and standardized identity protocols, AI agents gain the ability to negotiate, share context, and co-create outcomes across applications and domains. Imagine a nutrition AI agent coordinating with a fitness AI, or an educational assistant collaborating with a financial wellness bot, all operating under user-consented frameworks and verifiable on-chain logic. For developers, this enables sticky, multi-agent ecosystems; for users, it delivers hyper-personalized, cross-domain experiences. At this phase, what began as staking and identity issuance matures into fully autonomous AI economies. where agents govern themselves, transact assets, and evolve collectively with minimal human oversight. CARV's decentralized tooling provides the standards and incentives to enable AI-to-AI marketplaces, agent DAOs, and cross-agent governance, unlocking new paradigms of coordination not possible in centralized AI systems. Through this evolution, CARV transitions from being a foundational data layer to becoming the coordination engine for AI-native on-chain life, the AI Beings. 'This roadmap is more than a product plan. It's the blueprint for a new digital society,' said Ambero Tu, CTO of CARV. 'For the first time, AI agents can evolve with verified identity, reputation, and autonomy. CARV is building not just a coordination layer, but the rails for an entire on-chain species — AI Beings. This is the moment where CARV is transforming decentralized intelligence from static data aggregation to autonomous, AI-driven coordination economies, where both human users and AI Beings share ownership and governance." About CARV CARV is where Sovereign AI Beings live, learn, and evolve. What are AI Beings? They are sovereign intelligences born natively on-chain. AI Beings are designed with purpose, autonomy, and the capacity for growth. They possess memory, identity, and the ability to perceive and interact with their environment, not just to execute tasks, but to make independent decisions, adapt over time, and pursue self-defined goals. Anchored by its proprietary CARV SVM Chain, D.A.T.A. Framework, and CARV ID/Agent ID system (ERC-7231), CARV enables verifiable, consent-based AI Beings that learn, adapt, and co-create with users. Driven by CARV's AI-first stack, consumer AI apps incubated through CARV Labs launched on Google Play, App Store and beyond, reaching billions of people, bringing agent-powered experiences and real-world incentives into mainstream digital life. With 8M+ CARV IDs issued, 60K+ verifier nodes, and 1,000+ integrated games, CARV bridges AI agents, Web3 infrastructure, and real-world utility, fueling the rise of agent-driven economies. At its core, $CARV token powers staking, governance, and coordination across this stack, making CARV the operating system for AI Beings on Web3. Contact COO CARV
Business Wire
23-06-2025
- Business Wire
Phone, Texting, and Email Scams Drain Tens of Billions from U.S. Victims Annually
NEW YORK--(BUSINESS WIRE)-- The urgent need for protection against scam calls, texts, and emails in the U.S. "When you consider that only a fraction of scams are reported, the real impact on Americans is staggering." Share Americans are facing a crisis that's far more severe than official statistics reveal. While reported losses to online and phone scams reached over $50 Billion in 2023, there are estimations that the actual figure could be much higher. Since 80–90% of scam incidents go unreported, the true cost to Americans may soar to $100 Billion. 'When you consider that only a fraction of scams are reported, the real impact on Americans is staggering,' says Arto Isokoski, a Finnish tech entrepreneur and the founder and CEO of WhatSpam Company. In response to this alarming trend, the WhatSpam app has launched on Google Play and the App Store, aiming to protect Americans by blocking spam and scam calls, text messages, and emails before they reach potential victims. Before launching in the U.S., WhatSpam was already available in countries such as Canada. Privacy first In an era of growing concern over data privacy, WhatSpam ensures that all personal data remains stored locally on the user's device. The app does not transfer phone data to external servers and doesn't require users to change their default call or texting apps, allowing for seamless integration without compromising privacy. Fighting AI scam with AI 'The situation is getting worse, especially with AI becoming a mainstream tool for phone scammers. For the average person, it's becoming nearly impossible to distinguish between a legitimate message or call and a scam. Scammers know how to exploit this uncertainty, using urgent and alarming messages to pressure people into reacting quickly. That's where WhatSpam steps in by using AI to identify and block scams; it protects users from exposure to these threats,' continues Arto Isokoski. Americans interested in strengthening their defenses against scams can find more information at WhatSpam's website and download the app from Google Play or the App Store.
Forbes
20-06-2025
- Forbes
Four Strategies To Outsmart Data Pitfalls In Product Innovation
Ramalakshmi Murugan leads product strategy and operations for the Google Play Analytics team at Google. In the age of "data is the new oil," product teams are increasingly leveraging vast amounts of data to fuel innovation. However, many product initiatives, irrespective of having enough data, fail. The truth is, the very data meant to illuminate the path can become a labyrinth of pitfalls if not navigated with caution and a clear strategy. In the journey of moving from "data-driven" to "data-informed," it is imperative that product leaders understand the data pitfalls that might impede their efforts. Here, I will provide four decisive strategies to circumvent the most common blunders and ensure that your data is indeed guiding you toward groundbreaking innovation. 1. Beyond The 'North Star Metric': Embracing A Holistic Data Ecosystem The Pitfall: Many teams are obsessed with the "North Star Metric," fixating on a single KPI to the exclusion of all else. While a North Star can provide focus, an overreliance on one metric often leads to a myopic view. Optimizing for a single metric can also lead to "local maxima"—perfecting an existing solution but missing out on truly disruptive opportunities. The Strategy: Instead of solely chasing a single North Star, cultivate a holistic data ecosystem. • Balance quantitative and qualitative data. Quantitative data tells you what is happening (e.g., conversion rates, CTRs), but qualitative data tells you why (e.g., usability studies, user feedback). Combining both provides a richer, more nuanced understanding of user needs and pain points. • Track a balanced scorecard of metrics. Beyond the North Star, define a set of complementary metrics (e.g., customer churn, ARR) that cover different aspects of product health and provide a more comprehensive picture. • Contextualize data with market and competitive insights. Your internal product data is only part of the story. Data should be interpreted within a larger context, such as market trends and competitor movements, to inform strategic innovation. 2. Beware The Bias Beast: Actively Combating Cognitive Traps The Pitfall: Human beings are inherently biased, which can affect data collection, analysis and interpretation, leading to misguided product decisions. Some examples of bias that I frequently see teams struggling with are: confirmation bias (seeking data that confirms existing beliefs), survivorship bias (focusing only on successful outcomes) and selection bias (skewed samples). The Strategy: To tame the "bias beast," implement these active combat strategies: • Formulate clear hypotheses (and be ready to disprove them). Before diving into data, define specific, testable hypotheses. This forces you to consider what data would disprove your assumptions, rather than just confirm them. • Diversify your data sources. Relying on a narrow set of data increases the risk of blind spots. Seek out diverse data sources (e.g., surveys, customer support logs, social listening, A/B tests), and foster diverse teams with different perspectives and backgrounds to challenge assumptions. • Prioritize "why" over "what." When analyzing data, constantly ask "why." Why are users behaving this way? Why did this metric change? Don't just report the numbers; dig into the underlying reasons. • Implement structured experimentation (A/B testing with rigor). A/B testing is a powerful tool, but only if done correctly. Ensure proper randomization, sufficient sample sizes and clear control groups to minimize bias and truly understand the causal impact of changes. 3. Turning Data Overload Into Actionable Product Insights: Prioritizing 'Need To Know' The Pitfall: In the quest for data-driven glory, companies often fall into the trap of data hoarding: collecting data without clear objectives or a structured plan for its potential applications. I think this is the main cause of "analysis paralysis," an overload of information that makes it difficult to retrieve valuable insights. The Strategy: Shift from data hoarding to a "need to know" mindset, prioritizing actionable insights. • Define clear objectives first. Prior to data collection, set clearly defined business goals you would like to achieve, along with the questions that need to be answered to accomplish those goals. This will direct your effort in data collection and analysis. • Prioritize data quality over quantity. Wrong, incomplete and inconsistent data is more dangerous than having no data because it can lead to making very bad decisions. Establish policies around data governance, and perform periodic audits on the data to ensure integrity and trustworthiness. • Democratize access (with guardrails) and foster data literacy. Empower product teams to access and analyze data, but provide the necessary training and tools to do so effectively. This includes understanding data definitions, limitations and ethical considerations. Self-service analytics, when properly governed, can accelerate insight generation. 4. Beyond The Numbers: Cultivating Intuition And Storytelling The Pitfall: Some teams become so fixated on data that they lose sight of the bigger picture, neglecting human intuition, creative vision and the ability to tell a compelling story with their findings. This can stifle truly innovative ideas that don't immediately show up in current data. The Strategy: Remember that data is a tool, not a dictator. Enhance its power with the following strategies. • Harness the power of informed intuition. While data is crucial, it doesn't replace the insights gained from years of experience, empathy for users and a deep understanding of the market. Use data to inform and validate your intuition, not to replace it entirely. • Leverage strategic storytelling. Learn to weave compelling narratives around your data, highlighting the problem, the insight, the proposed solution and the expected impact. Visualizations, clear explanations and a focus on the "so what" are key. • Embrace "no data" scenarios with calculated risk. For truly novel innovations, there might be no existing data to guide you. In these cases, lean on expert judgment, strategic partnerships and carefully designed, low-risk experiments (e.g., MVPs, pilot programs) to gather initial feedback and iterate. By proactively identifying and mitigating potential data pitfalls and by diligently implementing these four key strategies, product strategy teams can transition from having a superficial reliance on data to a deep and comprehensive mastery of it. This profound understanding and skillful application of data will empower them to move beyond conventional approaches and unlock their inherent capacity to fuel the creation of truly exceptional products. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
