Sumedh Sakdeo

Husband, Father, Data Geek, Foodie, Diver, Traveler.

[Sumedh Sakdeo @sumedhsakdeo]

Excited to announce OpenHouse, A Control Plane for Tables! OpenHouse simplifies table management in open-source data lakehouse deployments. We're eager to hear from the data community about similar challenges they face and how they solve them. https://t.co/34x0THqaBF.

[Confluent @confluentinc]

.@TheDanicaFine kicks off day 2 of #Current24 with four data streaming engineers ⤵️
🌟 @gwenshap from @niledatabase
🌟 Madhuri Jain from @TechAtBloomberg
🌟 @vahidh from @PinterestEng
🌟@sumedhsakdeo from @LinkedIn & Creator of OpenHouse

[Sumedh Sakdeo @sumedhsakdeo]

🥃 tasting

[Historic Vids @historyinmemes]

I've been drinking wrong my whole life

[Sumedh Sakdeo @sumedhsakdeo]

@deedydas Where can I buy the tickets?

[TechCrunch @TechCrunch]

OpenAI demos real-time language translation with its latest GPT-4o model.

[Madhav Chanchani @madhavchanchani]

🚨 Nandan Nilekani says that India’s path in AI (artificial intelligence) is different.

Indian startups have to focus on applications and use cases rather than building the biggest large language models (LLMs) like Silicon Valley startups.

“Let those people with capital, and who have better chips do that,” he said.

“Our advantage currently lies not in compute, cloud, or chips. 𝐎𝐮𝐫 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 𝐢𝐬 𝐨𝐮𝐫 𝐩𝐨𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐚𝐬𝐩𝐢𝐫𝐚𝐭𝐢𝐨𝐧𝐬. 𝐓𝐡𝐢𝐬 𝐢𝐬 𝐰𝐡𝐲 𝐰𝐞 𝐡𝐚𝐯𝐞 𝐭𝐨 𝐛𝐫𝐢𝐧𝐠 𝐝𝐨𝐰𝐧 𝐭𝐡𝐞 𝐜𝐨𝐬𝐭 𝐨𝐟 𝐢𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐟𝐫𝐨𝐦 𝐑𝐬 100 𝐭𝐨 𝐑𝐬 1……𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐞 𝐟𝐫𝐮𝐠𝐚𝐥𝐥𝐲 𝐭𝐨 𝐝𝐫𝐚𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐫𝐞𝐝𝐮𝐜𝐞 𝐭𝐡𝐞 𝐜𝐨𝐬𝐭 𝐨𝐟 𝐀𝐈. 𝐖𝐞 𝐜𝐚𝐧'𝐭 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐢𝐭 𝐭𝐨 𝐚 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐩𝐞𝐨𝐩𝐥𝐞 𝐮𝐧𝐥𝐞𝐬𝐬 𝐰𝐞 𝐜𝐚𝐧 𝐛𝐞𝐠𝐢𝐧 𝐭𝐨 𝐜𝐡𝐚𝐫𝐠𝐞 1 𝐫𝐮𝐩𝐞𝐞 𝐩𝐞𝐫 𝐭𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧.”

"Winners in AI in India will be those who meet customers where they are," Nilekani said at an event by @PeoplePlusAI earlier this week. These are some comments that I found interesting from his chat.

Startups and companies should leverage AI’s capabilities to personalize products at scale, which has not been possible earlier, according to Nilekani.

“We are moving to a world where instead of you adjusting to the technology, the technology will adjust to you. It will adjust to you as a person, adjust to your skills, adjust your talents, adjust, your capabilities, adjust your language, and your skills……what we have found is whenever we make it easier for technology to adjust to you then our usage goes up,” he said.

Nilekani mentioned that companies should leverage the combination of digital public infrastructure (DPI) and AI. DPI is the combination of Aadhaar, UPI, Account Aggregator (AA), and ONDC open-source software.

This includes examples like leveraging local language capabilities of AI platforms like Bhashini and Sarvam to deliver personalized financial services products or offers, by understanding customer's banking profiles through AA.

There was a demo by Pine Labs/Setu of a new chat-based personal finance product.

“We have a unique infrastructure in India where we are building digital public infrastructure for AI. We are building a set of digital public goods for AI. We are building on top of an existing DPI to power AI and therefore accelerating the adoption of AI in India,” said Nilekani.

“And that's what this is a really the unique way that India is doing in AI which is what gives us confidence that we can move very rapidly in this space. Now, we talk about unbundling, but now with AI, we have a chance to bundle again. It was James Clarke of Netscape who said that we spend half our lives unbundling and then the next half re-bundling.”

“This means that all these AI Tools now allow you to put things back together in a very effective way to get the full impact of the solutions. Because for the first time, we can now personalize at scale.”

[Sumedh Sakdeo @sumedhsakdeo]

@JayChia5 @LinkedIn @daft_dataframe Make sure you post it on LinkedIn too. ;) Thanks for great talk!

[Sumedh Sakdeo @sumedhsakdeo]

Looking forward to your talk Jay!

[Jay Chia - eventual.ai @jaychia_]

I'm going to be talking at LinkedIn Sunnyvale tomorrow on: Big Data in Python using @daft_dataframe

https://t.co/gIy9M3Apie..

Let me know if you're going to be there - looking forward to meeting yall :)

[Venice @VeniceDataBase]

Catch the replay of this #QCon talk about #VeniceDB and other infra!

[Sumedh Sakdeo @sumedhsakdeo]

@DolanRyanne My dog would definitely do that. 😂

[Sumedh Sakdeo @sumedhsakdeo]

@SumitM14455640 We built https://t.co/mzK4VJ7pey services using Spring boot. I enjoyed the pluggability and ease of use of the framework. Integration with open api allows for auto generated client stubs during build process which is neat. next step is to integrate with spring security.

[Sumedh Sakdeo @sumedhsakdeo]

OH while waiting at urgent care.

Nurse: how are you doing?
Patient (in a not so good condition) : I’m good.

We are so used to this response even when we’re not feeling well. 😂

[Robin Moffatt 🍻🏃🥓 @rmoff]

FOMO'd on #KafkaSummit? Want to catch up on what's happening in the data and streaming world?

Here is the 🌼 March 🌸 edition of #CheckpointChronicle with tons of great content for you.

🔗 https://t.co/wxQf8pZqxk

[InfoWorld @InfoWorld]

LinkedIn open sources lakehouse tool OpenHouse https://t.co/BOH2vezrRV

[Daniel D. Gutierrez @ddgutierrez73]

BREAKING! Open Sourcing OpenHouse: A Control Plane for Managing Tables in a Data Lakehouse -- https://t.co/668ixVkU4i

#datalake #database @LinkedInEng

[BigDATAWire @BigDATAwireNews]

Linkedin To Open Source Its Data Lakehouse Management Tool OpenHouse

https://t.co/PpC13e891u

[Sumedh Sakdeo @sumedhsakdeo]

@rahulj51 @criccomini OpenHouse sits on the control path where we can do things like obfuscate location of table on the storage from end-user, or transfer ownership of files written during commit to system user.

[Sumedh Sakdeo @sumedhsakdeo]

@rahulj51 @criccomini One thing we made an early call on was, OpenHouse will not be sitting on the data path and compromise performance. Trade off is sitting on data path makes control easier.

[Sumedh Sakdeo @sumedhsakdeo]

@rahulj51 @criccomini This was exactly the delicate dance we had to play, where to put constraints and where not to. We can’t put too much constraints because existing users are used to certain level of flexibility and we didn’t want to make migrations for them impossible.

[Daniel D. Gutierrez @ddgutierrez73]

Taking Charge of Tables: Introducing OpenHouse for Big Data Management -- https://t.co/d8npB8widK

#BigData @LinkedInEng

[Neelesh Salian 💻 @nssalian]

LinkedIn building great abstractions. Here’s one over open table formats: https://t.co/oh8qnfeiIF