Tag: AI
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Types of Data Scientists
Data science has emerged as one of the most sought-after fields in recent years, with organizations across industries recognizing the value of data-driven decision-making. However, not all data scientists are cut from the same cloth. The term “data scientist” often conjures images of tech-savvy individuals working in Silicon Valley startups or significant tech companies. While…
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Case study – Google
Google <10 Milestones> <Business Model> Google’s business model is primarily built on advertising, the company’s primary revenue source since its inception. In 2023, advertising accounted for over 77% of Alphabet’s (Google’s parent company) total revenues, amounting to $237.85 billion. This model is structured as a multisided platform, serving users, advertisers, and content publishers, creating a…
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Quantum Computing – Real world applications
<What is Quantum computing?> Quantum computing is a computing concept that uses quantum mechanics to perform operations. It utilizes life superposition and entanglement principles to process information more efficiently than traditional computers. It is used in various practical applications across multiple sectors, leveraging its unprecedented computational power to solve complex problems intractable for classical computers.…
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Personalization algorithm – Amazon, Paypal and Spotify uses it?!
Personalization algorithms are at the heart of modern social media and content platforms like Instagram and YouTube. These sophisticated systems begin by collecting vast user data, including interactions, preferences, and behaviors, from every like, comment, share, and time spent viewing specific content, which is meticulously tracked and analyzed. This wealth of information forms the foundation…
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Case Study- NVIDIA
<10 Milestones> <Business model> Nvidia’s business model is built on strategic partnerships. It centers on designing and selling high-performance graphics processing units (GPUs) and system-on-chip units (SoCs) for various markets, including gaming, data centers, professional visualization, and automotive industries. The company leverages its expertise in GPU development to create innovative solutions that cater to the…
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All about Digital Twin- even IBM uses it?
<What is Digital Twin?> A digital twin is a virtual replica of a real-world physical object, system, or process synchronized with its physical counterpart in real-time, and this trend has been going on since 2019. This technology leverages data from sensors, IoT devices, and other sources to create an accurate, up-to-date digital model that reflects…
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What really is ‘Data Science’ ?
Nowadays, data science is going massively viral and becoming one of the jobs that promise the future—the most essential fields. Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines elements of mathematics, statistics, computer science, and domain-specific knowledge…
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Key outcomes of: Korea-US Advanced Industry and Technology Cooperation Forum 2024
The Korea-US Advanced Industry and Technology Cooperation Forum 2024 took place on June 27th in Washington, DC. It brought together leaders and innovators from both nations to discuss cutting-edge technologies and foster collaboration in advanced industrial sectors. This year’s event, themed “Toward a Stronger, Strategic, and Resilient Partnership for Innovation,” marked the third iteration of…
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The rise of edge computing in IoT and 5G network-2
<Real-World Applications and Use Cases> Several well-known brands leverage edge computing in IoT and 5G networks to enhance their operations and services. Amazon’s AWS Wavelength integrates with 5G networks to bring edge computing capabilities closer to end-users, enabling low-latency gaming and video streaming applications. Robustel’s EG5120 5G Edge Computing Gateway, certified by Microsoft Azure and…
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AI ethics in 2024 – Tackling Bias, Transparency, and Responsible Innovation
Recently, as artificial intelligence continues to emerge in AI development and deployment, the need for ethical considerations has become more critical than ever. In 2024, the focus on addressing bias, ensuring transparency, and promoting the responsible use of AI technologies has intensified, with organizations and governments taking significant steps to mitigate potential risks and build…