Zoho’s Post

ZOHO! The perfect role model to all Tech entrepreneurs (labor traders), IT Labor contractors(dalals), aggregation based startups (commission agents). Bharat, the first, ancient, original civilization, powered by Sanatana dharma, that gifted timeless brands (such as Yoga, Vimaana, binary number systems, Ayurveda......) always had been a No1, greatest, glorious & prosperous "Product Economy" on this planet. West Invasions, Influences converted glorious country in services/begging economy. ARISE, AWAKE! Bharat! Be ZOHO, don't be Infosys, Wipro, TCS or Zepto, BigBasket, Byju. Dharmo Rakshati Rakshitah!🙏 Comply dharma/righteousness, dharma will protect, respect, nuture, prosper you.

Privacy is an innate quality of Zoho Products.

At the recent user conference, Zoholics Austin, our CEO, Sridhar Vembu, discussed why it is so important to stay private and prioritize customer data privacy. He also shared his thoughts on how AI is affecting programming jobs. Check out the recap 👉 zurl.co/nvfy #disnova

This is one of the biggest reasons I joined this company and something I don't think gets enough attention. We've become so accustomed to just accepting our privacy being invaded that a company not using data they capture about their customers almost seems archaic. While metrics and customer profiling/success templating are much more difficult, I'd rather tell a customer that their privacy is paramount, than be armed with assumptions based on "similar" customer profiles we may have. As the Solution and Application market continues to expand, an interesting piece we are seeing is just how different "similar" customers can be. Even if customers share the same industry, region, employee size, or any other firmographic information, the divide between the customers can still be vast and the inefficiencies of trying to adapt processes to a bell curve solution are evident. Many have justified the capturing of customer data and it's usage as a means to help understand someone's business and predict their needs, but that reasoning is evaporating, and we are understanding just how big of an income source customer data is for some solution providers. I know several tech dinosaurs, start ups, marketing engines, whose data value long eclipsed their actual solution value. It feels good to know that Zoho will never be in that category.

🚀 Exciting insights from Zoholics Austin! 🚀 Our CEO, Sridhar Vembu, emphasized the importance of staying private and prioritizing customer data privacy in today's digital age. In a world where data breaches are becoming all too common, Zoho's commitment to safeguarding user information is more critical than ever. 🛡️ Additionally, Sridhar shared his thoughts on how AI is revolutionizing programming jobs. While AI is streamlining many processes, it's also creating new opportunities for innovation and growth within the industry. 🌟 Catch the full recap here 👉 zurl.co/nvfy #Zoho #ZoholicsAustin #DataPrivacy #AI #Innovation #TechIndustry #ZohoOne #EnterpriseSupport #Saas

One of the coolest features of our Relativity Innovation submission this year is the ability to natively process Teams and Oxygen data inside of Rel processing.

Just concluded 1st-place in Kaggle with a great team consisting of Geremie Yeo, Gaurav Rawat, Young Min Paik, and Yevhenii Maslov in the PII Data Detection Competition, competing against over 2000 teams. Many thought NER is a simple task, not when you are faced with real world cases. See that Presidio just do not cut the task alone :) Our approach combined post-processing, ensemble techniques, and the training of transformer models like Deberta, Longformer and other models across various architectures, such as multi-dropout and BiLSTM, and knowledge distillation. Solution Write-up: https://lnkd.in/g5rzkiMx We continue to investigate various emerging LLM architectures and found that code pretrained LLMs are great at identifying NER too. Due to time constraints and work commitment, we have yet to integrate that to our solution. But the ensembles done by the team is already strong enough to land 1st. Cheers to the good team effort!

Great presentation today to F5'ers from Frank Liu (https://lnkd.in/gQu-cb62) on Zilliz and Milvus, a open-source vector database. Realizing that I have a long-ways to go in understanding ML/AI infrastructure and operation.

Ep 11 - Rob Reesor Reesor: Insights, Tips, Tricks and Wisdom from a Tech Veteran EPISODE DESCRIPTION: It all started with stumbling into a computer science course at the University of Oregon and culminated in a decades-long tech career filled with success. Rob Reesor reflects on his journey from pioneering early e-commerce to advancing AI, shares a ton of wisdom on how to lead a team and deliver promise to customers, and looks forward to sharing his expertise in new and exciting ways. https://lnkd.in/epJRdN55

Best introduction to the #justicetech sector is this powerful new research from the Duke Center on Law & Tech. Thanks for your advocacy, Kelli Raker!