Ismail Rehman’s Post

Transformers have been adopted in every domain. You can copy and paste the architecture and use it everywhere by just changing the data. 😁 #LLMs #Transformers #SelfAttention #GenAI

Quick Sunday read : NAND Research's Steve McDowell working with WEKA has put together a killer 'buyer's guide' of sorts for enterprises looking to deploy #AI solutions on top of legacy storage architectures. It has loads of useful info on the demands placed on those kinds of data infrastructures and how storage architectures have to evolve. Take a look:

NAND Research's Steve McDowell working with WEKA has put together a killer 'buyer's guide' of sorts for enterprises looking to deploy #AI solutions on top of legacy storage architectures. It has loads of useful info on the demands placed on those kinds of data infrastructures and how storage architectures have to evolve. Take a look:

NAND Research's Steve McDowell working with WEKA has put together a killer 'buyer's guide' of sorts for enterprises looking to deploy #AI solutions on top of legacy storage architectures. It has loads of useful info on the demands placed on those kinds of data infrastructures and how storage architectures have to evolve. Take a look:

🌐 Breaking Barriers in Industrial Knowledge Graphs! 🏭 Exciting breakthrough for software architects, data pros, and domain experts: Introducing the Polyglot Domain Model Library! 🚀 Key Highlights: 🔍 Bridging gaps between semantic engineers, developers, and standards experts 💡 Translates complex domain models across multiple formalisms 🤝 Simplifies Knowledge Graph adoption in manufacturing Why It Matters: - Faster standard implementation - Reduced translation complexities - Enhanced data interoperability The approach: One domain, multiple formal languages - from industry standards to OWL ontologies! Transforming how organizations understand and leverage their data, one model at a time. Who's ready to revolutionize knowledge representation? 💻🌟 Join Veronika Haderlein-Høgberg, PhD at https://lnkd.in/djfbSe_6 #KnowledgeGraphs #IndustrialInnovation #DataStandardization #SemanticEngineering #AIinManufacturing #TechTalk #EmergingTech #SemTech #SoftwareEngineering #CDL24

Optimizing the trio of performance, cost, and scalability remains the holy grail for data infrastructure 🏆⚖💰 Thanks to InfoWorld for publishing my thoughts on how #AI changes things, from #governance to #datapipelines to #hybrid architectures.

We are developing machine learning components for event-driven architecture use cases🤖 The challenge to solve is to deliver tangible value from machine learning while maintaining a minimal cost footprint. Currently we are focusing on these specific use cases: ⛓️💥 Kafka Operations: Detecting failures within Kafka environments 🚨 Alert Management: Reducing false positives to improve quality 💸 Payment Processing: Advance payment error detection To drive value, we start with accessible data, formulate a pertinent question, and leverage a proven sandbox of tools to generate real-time insights. Stay tuned for upcoming releases of open-source software designed to extract, process, and analyze real-time data! 🔥 #MachineLearning #AnomalyDetection #Observability #Innovation #KafkaOps #AlertManagement #FraudDetection

Today is a great day for innovation and the #AIInfraDeck Release 2 topic is #CoresAndSpines, an essential part of modern data center networking. Let’s break it down. In a hierarchical network architecture, core switches, or simply cores, are the high-capacity switches that act as the central hub. They handle data routing to and from various segments of the data center, making them crucial for maintaining smooth and efficient operations. Then, we have spine switches, which are integral to the #SpineAndLeafArchitecture. These connect to every leaf switch in the network, creating a highly interconnected system. This setup enables #FastEfficientDataTransfer across the entire data center, significantly #ReducingLatencyAndMaximizingBandwidth. Why does this matter? With the heavy traffic demands of AI computations and applications, minimizing bottlenecks and optimizing performance are critical. Whether it’s training large language models, running real-time analytics, or processing massive datasets, having a robust cores-and-spines architecture ensures your network can handle the load without compromising speed or efficiency. If you’d like to dive deeper into how cores and spines impact your #AIInfrastructure and how this architecture can benefit your business, please reach out. I’d love to assemble my team and tailor a conversation to your needs. Thanks for checking this out. Get out there, do great things, inspire folks, be kind and also check out Ignite’s upcoming event: *** Founders & Funders Happy Hour | TUES, DEC 10 *** https://lnkd.in/gDN4XnZE

Did You Know That DataWalk Is Designed For Scalability?? DataWalk is architected to scale in order to enable analysis of vast volumes of data. DataWalk achieves this using a horizontally scalable Massively Parallel Processing (MPP) architecture for storing and processing data, with unique technology that solves the three major challenges associated with horizontal scalability, regardless of the business model or data mapping performed: even distribution of data across multiple node, no data rebalancing needed to execute queries, and maximum information-join on stored content. DataWalk’s unique, commercial-grade data storage solution provides flexible information management with high efficiencies required for deploying enterprise-class analytical environments. This technology delivers fast, complex, multi-dimensional analyses that are quickly completed on large, multi-billion record data sets.

Welcome to the world of machine learning lifecycle architecture! 🤖🌀 From data collection to model deployment, every step plays a crucial role. 📊🔍 . . #upskillcampus #edtech #MachineLearning #LifeCycle #AIDevelopment #lifecyclearchitecture #artificialintelligence #datascience #technology #innovation #dataengineering