Data has long been fuel for digital transformation, but generative AI is refining data into rocket fuel—and this is putting new pressures on IT and its applications.
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In today's rapidly evolving job market, professionals often find themselves seeking new opportunities and exploring different career paths.
"The great thing about Python is that it combines remarkable power with clear syntax. I fell in love with it at first sight." - Guido van Rossum, Python Programming Language Creator.
Indian data science leaders frequently develop novel concepts that democratise technology, predict future business scenarios, and provide a tailored solution before the problem even exists. Their ideas are going beyond standard business practices to create something novel.
The vast expanse of data lies the potential to unlock profound insights, drive innovation, and propel organizations into the future. Often likened to magic, data science is a systematic and enchanting journey that transforms raw, seemingly chaotic data into actionable knowledge.
Shashank's story unfolds as a captivating narrative of adaptability, entrepreneurship, and the quest for knowledge.
"When I wanted to join the data science domain, someone told me to start my learning journey with Python, and I ended up learning HTML. That's how bad it was for me; I couldn't understand a thing..." Kriti thinks back.
The two powerhouse domains, Data Science and Artificial Intelligence, stand out as catalysts for innovation and problem-solving.
In the current situation, we are witnessing a highly developed and thoroughly researched form of data science that is rapidly growing and impacting every industry possible. It has significantly propelled technological advancements and exponentially boosted data production.
Discover the 15-year career journey filled with courage and adventure of Subramanian Ayyappan!