Is the GenAI out of the bottle?
Crayon Data Blog
by Sunantha Sanjeeva Rao
14h ago
GenAI can be funny  Alexa, are you blue?”  Alexa: Only my light ring… Only my light ring.  GenAI can be productive  “Translate ‘Where is the restroom?’ into Spanish.  GenAI can be savage  Siri, what’s zero divided by zero?”  Siri: “Imagine that you have zero cookies and you split them evenly among zero friends. How many cookies does each person get? See? It doesn’t make sense. And Cookie Monster is sad that there are no cookies, and you are sad that you have no friends.”  But can GenAI be an enterprise’s hidden door to more potential revenue? That’s what ..read more
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#OnTheShouldersOf Arthur Samuel
Crayon Data Blog
by Sunantha Sanjeeva Rao
1w ago
In this week’s episode, we delve into the legacy of Arthur Samuel, an icon whose contributions continue to shape the landscape of artificial intelligence. Samuel, a visionary ahead of his time, laid the groundwork for modern AI with his groundbreaking work in the mid-20th century. “A machine is not a genie, it does not work by magic, it does not possess a will, and … nothing comes out which has not been put in, barring of course, an infrequent case of malfunctioning,” Samuel once remarked, emphasizing the rationality and discipline inherent in AI. His crowning achievement, the Samuel Checkers ..read more
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Crayon Data on Financial Times ‘ High-Growth Companies Asia-Pacific 2024 list
Crayon Data Blog
by Sunantha Sanjeeva Rao
1w ago
Date: March 13, 2024 Source: Financial Times Guess who has Crayon in their name and made it to Financial Times’ list of High-Growth companies in the APAC region – It’s us, Crayon Data! How do we do it? The mantra is “A great product coupled with great talent will not go unrecognized”. Having sensed the power of AI long before it became sensational, we knew it was only a matter of time until our product got the due recognition. Our powerfully simple AI solutions have helped enterprises match the perfect product with the qualified customer. As a key player in AI domain, we expect the wave of per ..read more
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Crayon Data handles data with art
Crayon Data Blog
by Sunantha Sanjeeva Rao
1w ago
Date: April 4, 2024 Source: The Business Times When talent meets hard work, success is inevitable. MORE than a decade ago, Suresh Shankar saw the potential of Big Data, and observed that companies had a growing interest in harnessing such data for their business decisions. So in 2012, he formed data analytics startup Crayon Data with co-founders Vijaya Kumar Ivaturi, Srikant Sastri and Aarti Ramakrishnan. With skills and knowledge in Big Data analytics, technology and marketing, the team shared a vision of simplifying complex data to create value for companies, said Aarti. Check out the full ..read more
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Karunakaran Neelakandan on Indian Startup Times’ list of visionaries at the helm of Artificial Intelligence
Crayon Data Blog
by Sunantha Sanjeeva Rao
2w ago
Date: March 29, 2024 Source: Indian Startup Times “Leadership is the capacity to translate vision into reality”, said the American author Warren Bennis. If there’s someone who epitomizes this quote best, it’d certainly be Karunakaran Neelakandan, our VP of Engineering. His vast experience and deep knowledge have driven Crayon to excel further in its pursuits. So, it wasn’t exactly a great surprise for us to find him on the Indian Startup Times’ list of visionaries heading the AI revolution. Here’s what the article had to say about him: In the ever-evolving landscape of Artificial Intelligence ..read more
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Natural Language Processing Market Propelled by Rising Adoption of Chatbots and Need for Efficient Data Processing
Crayon Data Blog
by Sunantha Sanjeeva Rao
3w ago
Date: March 12, 2024 Source: WhaTech In this age of AI, NLP (Natural Language Processing) is one of the most-sought after capabilities by enterprises. With their to ability to efficiently analyze unstructured data, their popularity is not just a trend, but is here to stay for good and evolve further. We at Crayon Data have been pioneers in using NLP on external data and combining it with enterprise data to unlock value for enterprises. So it’s only natural that we aced this game! Here is WhaTech’s take on the exponentially expanding market of NLP and Crayon Data’s position in this field. Incre ..read more
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#OnTheShouldersOf Herbert Simon
Crayon Data Blog
by Sunantha Sanjeeva Rao
2M ago
Imagine a polymath of the modern era, whose intellect seemed to transcend disciplinary boundaries, leaving indelible marks in fields as diverse as political science, computer science, economics, and cognitive psychology. That’s Herbert Alexander Simon for you – a true Renaissance mind whose pioneering work continues to shape our understanding of decision-making, problem-solving, and the very essence of human cognition. Simon wasn’t just another scholar; he was a visionary, a trailblazer, whose curiosity knew no bounds. His groundbreaking theories of “bounded rationality” and “satisficing” offe ..read more
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#OnTheShouldersOf Stuart Russell 
Crayon Data Blog
by Susanna Myrtle Lazarus
3M ago
Stuart J. Russell is a renowned computer scientist and a prominent figure in artificial intelligence. Russell’s academic career has been closely tied to the University of California, Berkeley, where he held various positions before becoming a Professor of Computer Science.   Throughout his career, he has made significant advancements in areas like machine learning, probabilistic reasoning, and decision-making under uncertainty. His work on probabilistic reasoning and decision-making has been instrumental in developing AI systems that can handle real-world situations where uncertainty ..read more
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#TheAIAlphabet: Z for Zero-Shot Learning
Crayon Data Blog
by Suresh Karthik
3M ago
Zero-shot learning (ZSL) is an innovative approach in the realm of artificial intelligence that aims to teach machines to recognize and understand objects or concepts they have never encountered during their training phase. Unlike traditional machine learning models that rely on a predefined set of classes, zero-shot learning enables AI systems to generalize their knowledge and make predictions about unfamiliar data. In conventional machine learning, a model is trained on a specific dataset with labeled examples. These labeled examples serve as the foundation for the model to learn patterns an ..read more
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#TheAIAlphabet: Y for YOLO
Crayon Data Blog
by Susanna Myrtle Lazarus
3M ago
Imagine you’re at a massive art gallery filled with countless paintings, each depicting a variety of scenes and objects. Your task is to quickly identify and label everything in the artwork. Traditionally, this process involves meticulously examining each painting in multiple passes – first identifying regions of interest and then categorizing them. It’s akin to reading a book chapter by chapter.  Now, enter You Only Look Once (YOLO), a game-changing approach that transforms this process into a streamlined and efficient operation. YOLO treats object detection like reading the entire book ..read more
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