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Podcast Summary

In Good Company with Nicolai Tangen

Snowflake के CEO: AI एजेंट कैसे बदल देंगे काम करने का तरीका (Hindi Version)

Date: June 22, 2026
Host: Nicolai Tangen (Norges Bank Investment Management)
Guest: Sridhar Ramaswamy (CEO, Snowflake)

Episode Overview

In this episode, host Nicolai Tangen sits down with Sridhar Ramaswamy, CEO of data cloud platform Snowflake, to discuss how AI agents are revolutionizing the way we work. The conversation dives into the evolution of data tools, the role of coding agents, integration with legacy systems, regulatory considerations, and what the future holds for software engineering.

Key Discussion Points & Insights

1. The Evolution of Data Platforms and Cloud Computing

Snowflake’s Mission: Snowflake transforms the approach to analytical workloads, offering essentially “infinite storage and massive computing power” available on demand.
Prior to the rise of cloud platforms, enterprise computing was limited to fixed “boxes” with set storage and compute capacities.
Quote:

"Cloud computing kis puri soch ko badaldiya... ab aap lagbhag infinite storage or zabardast compute power vale systems bana sakte hain." (B, 02:35)

2. The Role and Impact of AI & Coding Agents

Coding Agents as Game-Changer:
Ramaswamy describes how Snowflake has invested in developing AI-powered coding agents that simplify complex software development tasks, lowering barriers for users and engineers alike.
Companies across verticals—financial services, healthcare, advertising—are rapidly adopting such agents.
Quote:

"Hamne bhi apna coding agent banaya hai... puri information ecosystem ke liye." (B, 05:18)
The shift allows for programmable, on-demand access to data, facilitating new use cases and business models.
Sales & Engineering Synergy:
Modern sales teams at Snowflake leverage instant-access tools and agent-enabled solutions for demos and customization, improving customer experience.

3. AI, Interoperability & Programmable Access

Snowflake Intelligence:
- Enables programmable, protocol-driven, and language model-supported access to data sources.
- Opens up the architecture so that external agents and front-ends (even remote ones) can interact seamlessly with Snowflake’s data.
Memorable Example:

"Agent janta hai ki portfolio tools use karne hain... isliye agents har level par kaam ko badal rahe hain." (B, 09:50)
Agents are changing the landscape at every level—from code abstraction to structured database interaction.

4. Legacy System Integration & Data Modernization

Complex Migrations:
AI-driven agents tackle the challenge of migrating data from legacy systems, automating much of the process ("agent-driven migrations").
Quote:

"Coding agents complex data set par detail me likhe gaye programs ko manage kar sakte hain." (B, 12:30)

5. Data Governance & Regulatory Compliance

Snowflake incorporates governance features compliant with international standards like GDPR.
AI must be handled with regulations in mind to ensure data protection.
Quote:

"Governance features offer karte hain... or GDPR regulations ka dhyan rakhna padta hai." (B, 13:50)

6. Artificial Intelligence, Quantum Computing & Security

Risks and Opportunities:
The interplay between AI models, quantum computing, security, and data optimization is crucial for future growth.
AI can enable advanced search and analytics but also brings new security concerns, particularly with the emergence of quantum computing.
Quote:

"Quantum computing AI models ke sath security risk... aur data optimization ke naye tareeqe." (B, 15:40)

7. Software Engineering Culture—Recruitment, Learning & Values

Ramaswamy highlights passion and attention to detail as the marks of great software engineers at Snowflake.
Training and career progression include experience across labs, schools, and specialized technical roles.
Quote:

"Modern AI driven software engineer conceptual agents ko samajhkar unhe hal karta hai." (B, 19:38)

8. Corporate Culture & Leadership Principles

The company culture emphasizes open, honest communication and teamwork as essential baselines.
Personal stories highlight how values from outside the workplace—like teamwork with his sister—shape leadership approaches.
Quote:

"Open or honest communication ya teamwork — yeh baseline hai." (B, 24:52)

Notable Quotes & Memorable Moments

On Changing Paradigms:

"Cloud computing kis puri soch ko badaldiya..." (B, 02:35)
On Coding Agents:

"Hamne bhi apna coding agent banaya hai... puri information ecosystem ke liye." (B, 05:18)
On Programmable Access:

"Model control protocol... kisi data source se baat kar sakta hai agent." (B, 08:40)
On Data Governance:

"Governance features offer karte hain... or GDPR regulations ka dhyan rakhna padta hai." (B, 13:50)
On Cultural Values:

"Open or honest communication ya teamwork — yeh baseline hai." (B, 24:52)

Important Timestamps

| Timestamp | Segment | |-----------|-----------------------------------------------------| | 00:00–04:50 | Introduction, Snowflake’s platform evolution | | 05:08–08:25 | AI agents, company strategy & engineering synergy | | 08:36–12:15 | Programmable data, agent-driven workflows | | 12:25–13:47 | Legacy systems, complex migrations | | 13:47–14:25 | Governance & compliance | | 15:37–17:38 | Quantum computing, security & optimization | | 18:06–19:33 | Growth, value creation & software engineering culture| | 24:29–29:08 | Corporate culture, leadership, and closing remarks |

Summary

This episode explores how AI agents, cloud computing, and a culture of openness are transforming the software and data landscape at Snowflake. Sridhar Ramaswamy shares insights on technical evolution, the growing impact of coding agents, the necessity for robust governance amidst regulatory changes, and the importance of fostering a passionate engineering and corporate culture. For leaders and technologists alike, the conversation is a compelling roadmap for navigating the future of AI-powered work.

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Transcript22 lines

[00:01]
A
Hi dosto meh ho Nikolai Tengan Norwegian sovereign wealth Fundhar Ramaswamy jo Snowflake CEO hain Snowflake ek data platform hai Jasper bank hospital patient data. Or ham har din database.
[00:54]
B
Thanks Nikolai. Hame cloud computing platforms. Analytic data platform. Global 2000 addressable companies. Financial services, healthcare advertising or kai dusri industries. Or hum hum customers. Melogon se katahun ki pichle pachas Salonse Jabhi Kisi Co. Co Computing Ki zaruda thotham ache box karite whose box may storage compute or memory ki fix matrah jo pah fix rathithi or am torpor apko usi box kesat karipada compute yes. Integration project karna part Snowflake cloud computing kai stamal kirke is puri sochko badaldiya cloud ko aap lagbhag infinite storage or zabardast compute power vale systems. Deep analytic job. Historical information. Or stable or. Oriska matlab AAP resources tabhi spin up Karte hai jabunki zarurath Ziadatar analytic jobs may demand Ek jaisi nahi houthi ab jante transactional workloads may be din or raat KE beach kafi badafar Khotah rath melog utane banking transactions. Consumption model. Manage or amortize value creation. Or apki team Snowflake ka istimal karthi hai is.
[04:51]
A
Competitor.
[05:08]
B
Or agar musse puche to AI models. Software development industrialization or model companies or coding agents so in sabko dekte huay hamne bhi apna coding agent Banaya hai computing or puri information ecosystem front door software engineers
[06:14]
A
Amazon or Microsoft competing products
[06:19]
B
no offense pure data platforms top of the charts or dekhi jo companies itna bade scale per operate underestimate. Coding agents software industry. Number one challenge okay. Okay AI or snowflake jaisi software company. Engineering team or ham AAP jesse customers Kohamara software implement Karname madhat karte hai to hamari bhat sari energy is bhat per focused sales side per hamari sellers instant access sales agent solution engineers customized demo in tools. Or software engineering. Coding development. Pura process. Software engineering. Or in nai possibilities. Average software engineer
[08:26]
A
okay AI ki ani kebad buddy companies apnea data estates.
[08:36]
B
Snowflake intelligence. Is fast programmable access ki vajay future. Or yahi value. Model control protocol Jiski Madhad se koi language model ya coding agent kisi data source se Baat karakta hai or Usse jankari lesakta hai or ham chaate hai ki hamaare customers Snowflake intelligence. Interoperability. External front end remotely access kya ja saktah Jesse. Or agents. Or. For example write a little program for me. Or Peru's code Ko chalane kali kisi local tool. Agent jantahe ki portfolio tools or isliye agents her level per kam ko badal rahe hain coding agents Jesse Chiso concept coding agents abstraction agents. Snowflake structured data. For example Snowflake intelligence agent. Cloud cowork ya snow work jai. Programmable hai or sabkuch interconnected analysis.
[12:16]
A
Or legacy systems Sma AI KE stemal or apk product koapna kili
[12:25]
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data. Ki problems per coding agents complex data set. Koti buddy detail me. Likhegai programs. Agent driven migrations. Or data modernization.
[13:40]
A
Personal data protection laws.
[13:48]
B
Governance features offer. Or gdpr. Regulations.
[14:25]
A
Negative consequences. Okay so quantum computing Snowflake.
[15:38]
B
Quantum computing AI models security risk or data optimization or search. Confidence. Consumer products. Search or information.
[17:38]
A
Learning experiences Europe. Share price.
[18:06]
B
Growth. Legendary frank sloot man. So saval yahi ho tahe kikya AAP essay products Banarah sachmuch or value create Karnaka focus. Banahe search Karna logo excitement or kitna pyar hai her software engineer.
[19:27]
A
Software engineers.
[19:33]
B
Software engineering. Details per passionate level. Modern AI driven software engineer conceptual agents. Or unhe hal karna co. Or banay jarahe product. Millisecond latency streaming systems design Karna uski specialty or abvo ek AI lab dad school or uskebad me Sikh se kut. Specialized discipline software engineers product managers designers product marketing managers technical program managers.
[24:29]
A
Corporate culture.
[24:51]
B
Important baseline. Open or honest communication or teamwork. Or asa kuchbi nai tha jovo mere or meri behen khelie ek behatar. Cell biology. Interesting subject Hai topic. Kat important.
[29:07]
A
Thank you so much.
[29:09]
B
Thank you you thank you. Thank you so much Nikolai.