The Global Smart Technology (GST) group of companies is a recognized leader in the field of e-Governance, leveraging its expertise in technology to transform the administrative functions of governments and organizations across the globe. By developing and implementing advanced technology solutions, GST plays a pivotal role in helping governments, public institutions, and organizations modernize and streamline their operations. Through its innovative approach, GST is not just about providing...
It’s fascinating to see how DeepSeek currently seems to be everywhere on our social media feeds throughout the last couple of days. Unsurprisingly, it’s now sparking a mix of excitement and anxiety across the industry. For some, it’s a revolutionary breakthrough. For others, it’s raising serious concerns (and the deep correction in most tech stocks on NASDAQ on January 27th only confirms that). The big debate: Whether DeepSeek is truly better than what OpenAI, Anthropic, or others have achieved. The internet is still split over which model outdoes the others. Some early tests do indicate that DeepSeek R1 manages to outscore its peers on some of the testing benchmarks.
03/02/2025Creating a successful social media app begins with a clear understanding of its purpose and the audience it intends to serve. This step is crucial, as it lays the foundation for all subsequent decisions in the app development process. First, you need to pinpoint the primary goal of your app. What specific need or problem does it address? Is it meant for sharing photos, connecting professionals, discussing hobbies, or something else entirely? This objective should resonate with potential users and offer them a compelling reason to choose your app over existing options on the market. When narrowing in your target audience, consider factors like age, location, interest, and online behavior. Are you targeting young adults or working professionals? Is the app designed for a local community or a global connection? Don’t try to become the next Facebook. Saying your social media app is for “everyone” will be a recipe for disaster—as this approach often results in the app appealing to nobody at all. Instead, try to corner a specific market and fill a need for those users. Use tools like surveys, focus groups, and social media analysis to gather insights about your target audience. What are their likes and dislikes? How do they interact with current social media platforms? What are they missing in existing apps that your app can provide? This research will help you tailor your app to meet the specific needs and desires of your target audience. Step 2 – Establish a Unique Selling Proposition (USP) and Strategy Differentiating your app in the competitive social media landscape is vital for capturing attention and building a user base. A unique selling proposition (USP) is what sets your app apart from others, making it unique and appealing to your target audience. Your USP could be a novel feature, a unique approach to social interaction, or a specific focus that addresses a particular need or interest. To help you brainstorm and help you further understand this concept, here are some potential USPs to consider for your social media app: A social media platform dedicated to connecting local artists and art enthusiasts. A social networking app that focuses on real-time, location-based social networking for event discovery. Social media with advanced privacy controls for users concerned about online security. A social network app with built-in language learning tools and cultural exchange opportunities. Niche social media apps for pet owners, eco-conscious and environment awareness networks, social activism, etc. An app with a focus on mental health with features promoting positive online behavior and well-being. Integration of augmented reality for innovative content creation. A community-driven social platform where content is solely generated and moderated by users. Each of these USPs addresses specific needs or interests, providing a clear reason for users to choose your app over others. These are just a handful of examples, but there are literally thousands of different ways to approach this. One real-life example is the social media app Daylyy. Created with BuildFire, Daylyy sets itself apart from the crowd with a USP that focuses on authenticity.
02/08/2024The year 2024 marks a huge milestone for The Executive Centre. In the 30 years since Paul Salnikow opened the doors of his first flexible office space in Hong Kong, we have grown to 36 cities, now providing 4.5 million sq.ft. of collaborative workspaces for over 48,000 Members. To mark the occasion, we invited Paul for an interview to get his insights on leading TEC, building client relationships, and shaping the future of the modern workplace. Who inspired you to become an entrepreneur? It’s cliche, but true - my dad; he has an interesting background. His family was Russian nobility and after the Revolution in the last century they became refugees. They moved to Yugoslavia at that time and then during the Second World War they emigrated to Argentina where he met my mother. They got married and moved to New York where he got a job with IBM and built up a successful career. As a kid, growing up with a lot of change and challenges instilled a drive for grasping opportunities and making things work. Travelling and being raised surrounded by global perspectives, I developed the need for stimulus. I feel that there’s always been restlessness in me. I feed off the stimulus that occurs by seeking out opportunities and trying to react to them.
01/08/2024Building artificial intelligence (AI) systems involves more than learning how to perform a specific task from data; it requires a strong data foundation and infrastructure architecture. This foundation, as my colleagues have said on this blog many times, assists organizations large and small as they scale the Ladder to AI. As CDO of this great company, I spend a lot of time architecting data plans for our expansive global enterprise that spans 170 countries. As we grow, and as our data volumes grow, it was only natural that we would increasingly rely on the predictive, automated, and truly cognitive capabilities of AI to help manage and extract as much value from these volumes as we could. And we’re doing just that. And we’re getting more recognized for it. In fact, a unique aspect of the CDO discipline is camaraderie, not only within an organization, but with peers in other organizations and across industries. A real yearning exists in this particular circle of CxOs to learn from those who are succeeding in particular areas. Call it a penchant for best-practices, or a collective response to the global imperative to better manage and mine this great new resource called data. Perhaps nowhere is this attitude more prevalent than at our bi-annual CDO Summits. These gatherings, which continue to grow in size, are busy with conversations, presentations, and meetings all about the best way to manage, exploit and secure our data. Continuing in that spirit, I am excited to announce the formation of the AI Enterprise Accelerator, a collaborative cross-enterprise initiative that builds on IBM’s own internal AI transformation. This new service is designed to help data leaders ramp up quickly with solutions and processes that were used to spark our own successes here at IBM. The Accelerator melds three critical components to accelerate the journey to becoming an AI enterprise: The invaluable feedback garnered from Chief Data Officers (CDOs) at our CDO Summits and other industry events. At its core, this initiative is designed by CDOs, for CDOs; IBM’s own experience across technology, data, organization, and business process transformation; IBM’s extensive investments in AI, global deployment resources, and competencies to streamline and accelerate transformation. The AI Enterprise Accelerator offers foundational models for clients to replicate. These models serve as examples of where and how AI-transformed business processes can generate value and zero in on these five topics: Data strategy. We start with understanding the business strategy. Then, we create a data strategy that aligns AI and data resources accordingly. This is the compass for all future data-driven AI initiatives. AI Enterprise Data Architecture. We illustrate a multi-cloud architecture and associated workflows that offer seamless integration and movement of data across AI and analytic workloads — the bedrock of an AI enterprise. Automated Metadata Generation. We describe the value and know-how of generating metadata automatically using deep learning and natural language understanding, including the technical system specifications and business process workflow. Data Privacy. We demonstrate the value in deploying AI resources and automation that address data privacy regulations, such as GDPR. Also included is a governance, security, communication and automation framework for current and future data privacy regulation compliance. AI Applications, which include (but are not limited to): AI Sales Enablement. A 360° view of clients with AI-powered seller recommendations used across the enterprise as the single truth for client insights, coupled with insights about products delivered through an AI-powered chatbot; Contractual Insights. Use annotators and machine learning for proactive client contractual relationship and expansion management; Risk Insights. Use AI to identify how natural and other disasters will impact your data centers and supply centers in real-time. The AI Accelerator is now available through the IBM Chief Data Officer website. The Accelerator leverages IBM resources such as IBM Analytics University, IBM Design Thinking Workshops, and IBM Cloud and Cognitive Garages, located across the globe, to enable clients to replicate the above capabilities. Visit ibm.com/analytics/chief-data-officer to select your showcases for replication today.
29/7/2024