Tag: IT
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The Great Fall: Decoding the CrowdStrike-Microsoft Outage of July 2024
On July 18, 2024, the digital world experienced a significant disruption known as “The Great Fall,” when a global outage affected millions of users and brought critical services to a standstill. The root cause of this widespread issue was traced back to a software update from the cybersecurity company CrowdStrike.The incident originated from a null…
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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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The emergence of TinyML
The emergence of Tiny Machine Learning (TinyML) is revolutionizing edge computing, enabling powerful machine learning capabilities on resource-constrained devices. As we move into 2024, the significance of TinyML is becoming increasingly evident across various sectors, from consumer electronics to industrial applications. This blog explores how TinyML is reshaping the edge computing landscape, with real-life examples…
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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 – Cisco
<10 milestones> <Business model> Cisco’s business model primarily focuses on providing networking hardware, software, telecommunications equipment, and high-technology services to diverse customers. The company’s core strategy involves selling integrated solutions that help businesses connect, secure, and automate their operations in an increasingly digital world. For example, Cisco provides networking equipment and software to major telecommunications…
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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…