The Ravit Show

Host of "The Ravit Show" I love to interview folks on my LinkedIn and YouTube Live. Anything and everything that's trending can be a topic on the show.

Founder and Host

Gartner

Gartner Ambassadors are active leaders who are eager to drive the discussion, share their knowledge, make new connections, and build their personal brand.

Gartner Ambassador

EM360

Board Advisor

AtScale

I look after social media, content, podcast production and community!

Head Community Evangelist

Story by Data

Affiliate Member

Open Data Science Conference (ODSC)

Packt

Senior Content Marketing Editor

As a Content Marketing Editor in the Expert Network team and look after content marketing materials produced by and for Expert Network authors and their titles. I am responsible for a portfolio of content marketing assets for each title, liaising with Producers, Technical Editors, and the wider EN team, and individual authors and technical reviewers as necessary. I am also responsible for liaising with other teams in the business to make appropriate marketing content available, on a title by title basis, as requirements arise, and sourcing further material where there are gaps.

- Create a repository of content marketing assets for each title, visible and available to other stakeholders
- Maintain and develop further content marketing assets as required in support of the individual title marketing for each EN author
- Ensure the completeness, accuracy, and availability of all promotional title information and materials for Expert Network titles.
- Create and maintain the Expert Network forthcoming catalogue to share with internal and external partners.
- Create, source, and curate content for the Outreach team, PTN team, Direct marketing team, and social channels.

Responsibilities:

I work with the Producer and Technical Editor of a title, and other team stakeholders, to pre-emptively produce or curate the following assets for each title across the lifecycle of the project:

- Content articles for the Hub and other partner channels in phases right from pre-pub to post-pub.
- Generate podcasts for authors to talk about the topic and promote the book.
- Providing a suggested social content plan across Expert Network titles, for integration and execution by the Packt social team
- An early pre-release extract, a “sneak preview” in the month before launch, and a highly shareable article immediately post-launch.
- An article based on an author interview with questions provided by the editor.
- The content and images for an Amazon A+ page, based on the author interview.

Content Marketing Editor

- Primary and secondary research on new development in the field of tech
- Getting insights from an industry expert on your projects to give an edge and value to your project making it unique
- Preparing questionnaires for the authors and the clients on our product line
- In-depth market forecasting and analysis of various sectors
- Creating roadmaps while working closely with multiple stakeholders on different projects in accordance with the TAT
- Prepared market engineering sheets at regular intervals that help you visualize complex data via MS Office Tools
- Internal and external stakeholder management including presentation to CXOs
- Understanding the business need, evaluating various processes and controls present in the organization, communicating control deficiencies and other issues encountered during the research process
- Keeping a tap on the commercial viability of the products

Associate Category Manager

S K Patodia & Associates

- Look after different domains of the business with accordance to the clients
- Managing team and preparing questionnaires for the training of research
- Handling accounts and budgets related to the projects
- In-depth primary research related to the projects
- Handling clients PAN India, while closely associating with internal stakeholders
- Forecast new areas in terms of commercial viability

Assistant Manager Research 

Hexa Research Pvt. Ltd.

- Prepare reports on different domains such as media, ICT, Chemical, Tech, FMCG and consumer insights
- Handling client reports while closely working with different internal and external stakeholders 
- To prepare reports with accordance with the client requirements from across the United States, Europe, APAC, Middle East
- Market forecasting considering the factors affecting the industries by Primary Research
- Understand the budget aspects as per the client's requirement
- Training the team and finishing the projects in given turn around time

Research Associate

Reliance Industries Limited

Working for Indirect Taxation on CENVAT credit input.

Finance Intern

Founder & Host of "The Ravit Show". I love to interview Data/AI Leaders on The Ravit Show. Hosted 500+ Data Science/AI leaders on The Ravit Show.

Ravit Jain is well known for --

- Hosting live events
- Data Community Building
- Community Evangelism
- Product Marketer
- Share free resources with Community
- Helping Data Science/AI Community

As the Founder & Host of The Ravit Show, my mission is to illuminate the intersection of media and technology by engaging with Data and AI leaders. With a focus on new business development and compelling communication, I've established a platform that resonates with industry professionals and enthusiasts alike.

I leverage my expertise in B2B influence to foster thought leadership and community building. Our team is dedicated to sharing knowledge, driving conversations, and creating meaningful connections within the tech community, with a special emphasis on the burgeoning fields of Data and AI.

You can reach out to me at Ravitjain0909@gmail.com for The Ravit Show queries :)

Flink Forward 2025 was not just about streaming. It was about what comes next for enterprise AI. I sat down with Qingsheng Ren, Team Lead, Flink Connectors & Catalogs at Ververica | Original creators of Apache Flink®, and Xintong Song, Staff Software Engineer at Alibaba Cloud, to talk about something that could change how enterprises build AI systems in production: Flink Agents.

Flink Agents is being introduced as an open source sub-project under Apache Flink. The goal is simple and ambitious at the same time: bring agentic AI into the same reliable, scalable, fault-tolerant world that already powers real-time data infrastructure.

We talked about why this matters.

First, why Flink Agents and why now?
They walked me through the motivation. Most AI agent frameworks today look exciting in a demo, but they break once you try to run them against live data, streaming events, strict SLAs, audit requirements, cost pressure, and real users. There’s a big gap between prototypes and reliable operations. That’s the gap Flink Agents is aiming to close.

Why open source?
Both Ververica and Alibaba made it clear that this is not meant to be a proprietary, closed feature. They want this to be a community effort under Apache Flink, not a vendor lock-in story. The belief is that enterprises will only bet on AI agents at scale if the runtime is open, portable, and battle tested.

How is building an AI agent different from building a normal Flink job?
This part was interesting. A standard Flink job processes streams. An agent has to do more. It has to reason, take actions, call tools, maintain context, react to feedback, and keep doing that continuously. 

What kind of companies is this for?

We got into enterprise workloads that actually need this. Think about environments where fast decisions matter and you can’t afford to go offline:

- Fraud detection and response
- Customer support and workflow automation
- Operational monitoring, alert triage, and remediation
- Real-time personalization and recommendations
- Anywhere you need an autonomous loop, not just a dashboard

And finally, roadmap.
We talked about the next 2 to 3 years. The focus is on deeper runtime primitives for agent behavior, cleaner developer experience, and patterns that large enterprises can trust and repeat.

My takeaway
Flink Agents is not just “yet another agent framework.” It’s an attempt to operationalize agentic AI on top of a streaming backbone that already runs at massive scale in production.

This is the conversation every enterprise AI team needs to be having right now.

#data #ai #FlinkForward #Flink #Streaming #Ververica #TheRavitShow

Ravit Jain

BREAKING: Live from Flink Forward Barcelona 2025. The keynote made one thing clear. Real-time AI is ready for production. Here is what was announced and why it matters. I am excited to share my take below -- 

- Flink Agents collaboration
Alibaba Cloud, Ververica | Original creators of Apache Flink®, Confluent, and LinkedIn are joining forces to bring agent building blocks into Apache Flink. Agents can read events, reason, call tools, and take actions on live data. The standout detail is action consistency tied to Flink checkpoints so side effects happen once even under failures. Built for Python and Java with LLM and vector store integrations. This is aimed at high-scale, low-latency use cases.

- VERA-X engine
A native vectorized runtime for Flink that keeps your APIs the same but speeds up execution under the hood. The team showed single-digit millisecond latencies on stateful jobs, higher throughput on SQL streaming benchmarks, and lower CPU use in tests. If you manage hot pipelines, this can cut both latency and cost without a rewrite.

- Apache Fluss in Ververica's Unified Streaming Data Platform
Fluss treats data as both a log and a table. You capture changes once and query them with sub-second freshness. It is positioned to serve features for ML so teams do not juggle separate online and offline stores. That reduces drift and simplifies pipelines.

- Ververica Platform 3.0
Platform 3.0 ties engine, storage, and AI together. Batch and streaming share one model. There are native hooks to use LLM and RAG patterns inside Flink SQL. The goal is to enrich streams with context and build assistants on fresh data without adding extra systems.

Why this is important?
Most AI projects slow down because data is late or the stack is complex. These updates push in the other direction. Faster runtime. Storage built for fresh reads. Agent patterns that respect exactly-once behavior. This is how you build applications that learn and act in the moment.

My take from the room --

If you run heavy state, benchmark one critical job on VERA-X and measure end-to-end latency, checkpoint time, and CPU per record. 

If you fight online versus offline feature drift, move one feature pipeline to Fluss and compare freshness. 

If you are exploring autonomous workflows, trial Flink Agents in a narrow path with a safe external action and watch how exactly-once plays out. Then look at Ververica Platform 3.0 as the surface to run all of this with fewer moving parts.

As usual great work by Ververica | Original creators of Apache Flink® Team and Open Source Contributors, 

Alexander Walden, 🐿️ Ben Gamble🧑🏾‍🦯, Karin Landers, Vladimir Jandreski, Giannis Polyzos, Jark Wu, Yuan Mei, Xintong Song, Qingsheng Ren and many more!!!!

Sharing all links to the announcement below!!!!

#data #ai #FlinkForward #Flink #Streaming #Ververica #TheRavitShow

EXCITED!!!! Small Data SF: I will be on site covering it live. I did it last year and we will be there again this year. What a lineup!

I will be in San Francisco for Small Data SF, a two-day event focused on simple, local-first data and practical AI. I will be on the ground filming conversations and sharing takeaways in real time.

What I will cover

- Keynotes and talks on right-sized data and agent workflows
- Workshops that move from idea to working demo fast
- Panels that focus on real outcomes in production

5 reasons this will be amazing

- Builders on stage
You will learn from people who ship products every day. Expect hard lessons and clear patterns you can use.

- Actionable sessions
Talks will focus on performance, cost control, and smaller models that still deliver. You will leave with playbooks you can run.

- Small data mindset that scales
The program will show how simple architectures and local compute can cut waste and speed up delivery.

- Cross-stack perspective
Engineering, product, and research leaders will share what is working across the stack so you see the full picture.

- High-signal community
I will meet founders, engineers, and data leaders who care about doing the work. You will see fast takeaways from these conversations.

The speaker lineup is stacked. You will hear from Adi Polak, Barr Moses, Barry McCardel, Rebecca Bruggman, Benn Stancil, Brian Douglas, Colin Zima, Dennis Hume, elvis kahoro, George Fraser, Glauber Costa, Holden Karau, Jacob Matson, Joe Reis, Jordan Tigani, Ravin Kumar, Russell Garner, Sahil Gupta, Sam Alexander, Scott Haines, Shelby Heinecke, PhD, Tahlia DeMaio, Teague Sterling, Thierry Jean, Tristan Handy, Upal Saha, Zain Hasan, and Zulfikar Qureshi.

If you will be there, say hi. I will share live clips and a full recap after the event.

#data #ai #motherduck #smalldatasf #theravitshow

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