
Blog
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What is Generative AI? All you need to learn.
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Generative AI is a subset of artificial intelligence that creates original content, ranging from text to art, using techniques like Generative Adversarial Networks and Transformers. It operates by interpreting user prompts to generate responses, enhancing creativity and productivity across various domains, including content creation and automation. Effective prompt design is crucial for optimal results.
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Impact of Artificial Intelligence on Knowledge Work
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We stand at the precipice of a major shift in our understanding of work. Just as the Industrial Revolution marked the transition from hand production methods to machines, the AI Revolution is poised to redefine what we perceive as ‘knowledge work’. As we enter this new era, we are seeing the steady integration of artificial…
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How AI Models Are Built? From Problem Definition to Deployment—The Full Lifecycle of AI Model Development
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The video features Martin Keen explaining a five-step framework for building and deploying AI models. It highlights the impact of AI on various aspects of work and life, emphasizing the processes involved in AI development and implementation. The framework aims to provide a clear structure for creating effective AI solutions.
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The Impact of Artificial Intelligence
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Artificial Intelligence (AI) has transformative impact on various industries and daily life. It has the potential to unlock trillions in productivity. While AI enhances creativity and optimizes operations, it requires quality data and human oversight. Understanding its capabilities and limitations is essential as AI continues to reshape job roles and skills.
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What Are the Limitations of Artificial Intelligence?
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Artificial intelligence has notable limitations, including difficulties in understanding context, a lack of true creativity and emotional intelligence, dependence on quality data, challenges in explaining reasoning, and a need for continuous maintenance. Recognizing these constraints fosters a balanced approach to AI’s potential while considering its broader implications.
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Applications of Artificial Intelligence (AI)
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AI has many applications across various sectors. AI is revolutionizing various sectors including agriculture, education, energy, entertainment, environment, finance, healthcare, manufacturing, retail, and transportation. It enhances efficiency through personalized experiences, predictive analytics, and automation. These applications highlight AI’s versatility, but understanding its limitations and broader implications remains essential as we explore its transformative impact.
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What Are Neural Networks?
A neural network is a machine learning model that emulates human brain functions to make decisions. Convolutional Neural Networks (CNNs) excel in processing image, speech, and audio data. Martin Keen from IBM explains their operation in a lightboard video, highlighting their capability to enable machines to perceive the world as humans do.
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Interview with Joe Worth of Avetix Group – Tales of TIC – Leaders of Industry
Dr. Maralani’s interview with Joe Worth of Avetix Group – Tales of TIC – Leaders of Industry
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Interview with Mohammed Atif of Green Transition on Generative AI
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My Interview with Mohammed Atif of Green Transition on Generative AI
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Interview with DeDee Cia on How Automation Helps Solopreneurs and Small Businesses
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Interview with DeDee Cia on How Automation Helps Solopreneurs and Small Businesses
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