Jigar Desai

🌟 From Raw Data to Behavioral Predictions—Effortlessly What if AI deployment didn’t require months of preparation? With BaseModel.ai now on the Snowflake Marketplace, you can transform behavioral data into predictions in just a few clicks. ✅ Rapid Deployment: Build and deploy models in a week.  ✅ Scalable Flexibility: Create multiple models for diverse use cases.  ✅ Privacy Guaranteed: Data never leaves the secure Snowflake environment. Say goodbye to complexity and hello to actionable insights. AI for behavioral data has never been this simple. 👉 Try BaseModel.ai Today  #AI #MachineLearning #BehavioralData #BaseModel #Snowflake #Synerise 

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The Site Reliability Engineering: How Google Runs Production System book is arguably one of the most prevalent and well-known SRE resources out there, but there are many other great options for folks looking to expand on their learning. We recently spoke to Google's Reliability Advocate, Steve McGhee, in our Humans of Reliability interview series. In addition to his interesting anecdotes on the early days of SRE at Google, and his journey to becoming a Reliability Advocate, he also shared a handful of his favorite SRE resources, which we compiled here into a list: https://lnkd.in/gpUVhyRa

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All conversations start with how my profile/ EB1 application looked. Here's a brief review of what I think worked. https://lnkd.in/g3pTgc4P More blog posts are on the way as I break down the conversations I have been having. And, as always, find a time to chat here: https://lnkd.in/gJ2eyCGP #EB1 #EB1A #immigration #profile

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While there are certainly individual variations in skill and experience when discussing modern software development the story is much more nuanced than pure individual effort.  * software development is a team sport -- individual performance is heavily impacted by the system in which they are asked to operate in.  * we pair skill and experience to this model of understanding performance by expecting people to be able to influence and adapt in direct proportion to their seniority, aka the more senior you are the more responsible you are for the outcomes of your work, the less senior you are the more your manager and management chain are responsible.  * humans want to succeed, we're social animals who derive purpose from demonstrating skill, and working collectively. All of which is to say there is no way you have over 1000 people underperforming at your company without senior leadership deeply implicated in.  If nearly 10% of your company is failing, versus just having the market move against you, you need to fire the CEO.

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Insightful explanation of how do go channels work behind the scenes. Its all about yielding the ptocessor for other goroutines. https://lnkd.in/gbyQ4yH9

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Check out the latest in our "Debuggability" blog series! This blog is authored by Kevin Downey Jason Johl and me and talks about how we built a Debuggability Paved Road at Intuit using Ephemeral Containers and Argo Workflows. We'd love to hear your thoughts on the topic. Also, what tools do you build as-a-platform to help debug service, compute and network issues in Kubernetes at scale? #intuit #kubernetes #debug

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Can Pradeep Ittycheria survive the gauntlet of engineering and leadership questions Andrew Greiner and I throw at him this week? You'll have to listen to find out! We dig into an article he wrote on LinkedIn a few years ago about rewarding vs recognizing effort, how you can structure your organization to deliver the most value, and how he parses the signals out of the noise of managing our massive organization. Take a listen: https://lnkd.in/dBtbnRqE #engineering #productmanagement #podcast

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Your ability to adapt to changing conditions will be your super power. Being overly adapted to existing conditions makes survival questionable.

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We are excited to announce the launch of Ursa engine, our Kafka API-compatible data streaming engine that is built on top of Lakehouse. Ursa is not something entirely new; it is built on our many years of experience building and operating #ApachePulsar and #ApacheKafka. To learn more about the #Ursa engine, I recommend our #PulsarSummit keynote presentation and announcement blog post. Here, I’d like to delve deeper into some of its features: 1. Making Kafka API a first-class citizen: In #ApachePulsar, we developed a unified messaging model combining queuing and streaming semantics into one protocol, aimed at enhancing data sharing between business applications. Although powerful and increasingly adopted by enterprises and unicorns, the requirement for application rewrites is impractical in today’s economy. Instead of building data gravity around a protocol, we open up access to the robust stream storage layer by extending support to the Kafka protocol, transitioning from a single protocol to a multi-protocol platform, facilitating greater flexibility and integration. 2. Achieve Stream-Table duality via Lakehouse Storage: Data streams commonly end up in data lakehouses, where integrating and maintaining them can be complex and resource-intensive. Ursa simplifies this by storing data streams as lakehouse tables in object storage. This integration not only streamlines operations but also allows seamless access to operational data for analytical processes. Thanks to its multi-modal storage engine which fosters data sharing across teams and departments. 3. Object storage as the primary storage solution: To better align with cloud economics, particularly for large workloads, Ursa makes ZooKeeper and BookKeeper optional and utilizes a cost-optimized write-ahead log based solely on object storage with leaderless and stateless brokers. This architecture leverages object storage for both data replication and storage, minimizing inter-AZ data transfers and reducing costs for latency-relaxed, high-volume workloads. By integrating these features at the multi-tenant level rather than at isolated cluster levels, Ursa eliminates costly data duplication and movement across clusters, allowing teams to map directly to tenants and be able to share data across teams and departments more efficiently. We believe that the future of data streaming platforms lies in being open and multi-faceted, fundamentally different from traditional data platforms. They are designed not just to store and process data, but to enhance organizational capabilities by fostering data sharing across the organization and integration with other systems. More and more data streaming platforms will look more like Ursa, with multi-protocol, multi-tenant, and multi-modal capabilities. Check out our announcement blog post about Ursa: https://lnkd.in/ghEKTYE6 #ApacheKafka #Lakehouse #DataStreaming

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Also #intuit confirms that #bigid is the #dspm with the best #datadiscovery capabilities! BigID has more classifiers (including AI\ML based classifiers), and more connectors (including PaaS, SaaS, on-premise and even Mainframe!), than any other DSPM! #datasecurity #dataprivacy #datagovernance #cybersecurity

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Check out our blog post with Fengyu Zhang and Birjodh Singh Tiwana on how we are incorporating dwell based signals to improve feed experience for LinkedIn members. Thanks to Siddharth Dangi, James Sorenson, Allison Liu, Hailing Cheng, and Yafang Yang for their discussions, data analysis and prior work. https://lnkd.in/gmkSzPWn #linkedin #deeplearning #ai #feed

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Key insight from the Tech Leadership Summit: Sai Charan Tej Kommuri from Google explained a multi-agent system that can do the whole product development process automatically: ▶ Discovery with persona creation, user empathy mapping, user journey creation ▶ Design & Delivery through backend and frontend coding agents plus an architect agent ▶ Go to market with all product marketing All of this can be initiated by putting in a topic. He started that by himself in his spare time. I am between excited and scared. #tls24 #pmf24

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🔋 Amit Mishra, Engineering Manager II at Credit Karma, talks about how his team empowers developers focus on what they do best—coding—while JFrog Artifactory takes care of seamless dependency management. 👇🏼 Watch below to learn how Amit leverages Artifactory to streamline processes and empower developers!👇🏼 If you're looking for a similar outcome, get started on JFrog for free today: https://jfrog.co/3DfgPn3

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TSMC | founder has a great story. As with the world’s most valuable tech companies they were founded in dorm rooms, garages and diners by entrepreneurs who were remarkably young. Bill Gates was 19. Steve Jobs was 21. Jeff Bezos and Jensen Huang were 30. Morris Chang however was 55 …. when he founded Taiwan Semiconductor Manufacturing, now one of the world's largest manufacturers of semiconductors. Chang worked for a quarter-century at Texas Instruments and then joined the Taiwan research body that spun off TSMC. TSMC customers include Apple, Nvidia and Qualcomm. Now 92 - his most known quote is as follows. “ ….. Without strategy, execution is aimless. Strategy without execution is useless ….. “

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Marking a decade of Amazon Cognito, with a big bang! Beyond thrilled to announce the launch of multiple new capabilities to help developers setup seamless and secure authentication within minutes using Cognito! #aws #cognito #preInvent We announced: (1) a #nocode visual editor to personalize and localize sign-up and login experience for applications, (2) low-friction and secure sign-in experience with passwordless login, (3) a revamped #developer experience, and (4) new product packages with the pricing of our Plus package, allowing you to save up to 60% of monthly spend vs previously using our advanced security features! https://lnkd.in/gyTseR8n

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Looking to get started with in-database machine learning with MySQL HeatWave? This guide will help get you on the right path. https://lnkd.in/gPjuJU9g

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Testing and ongoing monitoring is critical.

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💡 Exploring Advanced RAG Together 💡 For those considering or already working on integrating RAG-powered GenAI assistants into your products or solutions, I’m excited to share some learnings in an upcoming talk. This session builds on the basics we explored sometime before (https://lnkd.in/dBw4UGA4) and dives into recent advancements like DRAGIN, ERAGent, and GraphRAG. These concepts are inspired by some fascinating research papers that I’ve been exploring, and I hope this discussion can spark ideas and conversations within the community. If this resonates with you, feel free to join in. I’d love to hear your thoughts and experiences as well! 🙌

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