TargetArc is an independent consultancy practice specializing in Modern Data Strategy and Digital Transformation, providing impartial advice and direction for organizations to build information ecosystems.

TargetArc

TargetArc is an independent consultancy practice specializing in Modern Data Strategy and Digital Transformation, providing impartial advice and services related to Information Management.

TargetArc | 648 followers on LinkedIn. Enabling organizations to navigate digital transformation by harnessing the power of untapped data. | TargetArc specializes in designing Information Ecosystems that help organizations embrace Digital Transformation and AI. Our services empower organizations to build knowledge Ecosystems by making their structured and unstructured data FAIR (Findable, Accessible, Interoperable &amp; Reusable), and designing Data and Knowledge Products that target business use cases. Technology agnostic accelerators developed by our domain experts enable companies to fast track data product and digital twin initiatives.

Modern Data Strategy and Digital Transformation Leader

Murali Kala

Cloud Data Engineer Intern at Targetarc | Data Analytics AI/ML | MS CS@NYU | Data-Driven | Cloud Computing | Python, Java, AWS, React, Docker…

Susmitha Kusuma

Modern data strategist

Danny Shoshan

GHC'23 | MS in Information Technology and Management | Seeking Full-time Opportunities. | SQL | Python | Angular | React

Nimisha R Pocharam

Seamless implementation of AI capabilities with our FAIR suite of accelerators provides immediate and continued Business Value in the Pharmaceutical Industry.

Enhancing AI Security: Key Takeaways for Organizations

TargetArc's FAIR Transformation Engine #FAIR #AI #KnowledgeGraph #llm

Are you ready to fast track your journey towards a FAIR Data Ecosystem? While organizations are making progress toward FAIR data, it is a painfully slow journey with many trying to skip the foundational work, hoping to jump straight to the business value outcome, but the problems surrounding AI Model hallucinations and Data Product non-Interoperability stem from using data directly from traditional systems, transactional systems, warehouses and data marts. Organizations are quickly realizing, that without creating a FAIR data foundation, investing in these modern data initiatives is leading to more chaos and absolutely no returns on investments. What if the foundational work necessary for creating a FAIR data ecosystem could be achieved in little to no time? Maybe even by the click of a button? We're tremendously excited to announce the release of our flagship accelerator, the FAIR Transformation Engine. Revolutionize the way your users access data, discover patterns and analyze data for unparalleled breakthroughs! Check this out for more information. https://lnkd.in/e6SdDn2v #FAIR #KnowledgeGraph #llm #AI

Introducing Prompt Manager: Transforming Prompt Engineering for the Modern Era

The secret of AI: it’s all about building your Knowledge Graphs. This open secret deserves more spotlight: a LLM, at its core, is fundamentally a database, a knowledge graph. But, it’s not just any database. It's an interactive, dynamic repository of data nodes that we can activate through natural language queries. The real magic happens when you merge this AI knowledge graph with your own data, creating a synergy. Like the yin and yang it creates a unique entity. Your unique knowledge and insights balance and enhance the LLM capabilities, leading to unprecedented power. When you map your own knowledge onto an AI platform, you’re not just feeding it data; you’re teaching it context, perspective, and nuance. This process creates a more refined, intelligent, and applicable tool that understand better your specific needs and challenges. Knowledge Graph is the next frontier of AI development: the future lies in personalization, bringing your KG to an LLM does exactly that. It's about creating systems that don't just process data but understand and adapt to the unique contexts they are applied in. Embrace this concept, and watch as AI transforms your intellect and creativity. The future of AI is here, and it's more personal, interactive, and powerful than ever.

Jérémy Ravenel

🤔 Are conceptual modeling and semantic modeling the same thing? ⛔ Not exactly... A conceptual model explicitly and accurately represents... 1️⃣ concepts of interest 🧠 2️⃣ relationships between the concepts ➡️ 3️⃣ axioms that constrain concepts and relationships 📜 🤖👥 A semantic model is a specific type of conceptual model that is not only understandable by humans but also by computer systems. 🌐📚 A semantic model is generally described using the W3C-defined standards for the semantic web #TheDataJoy #datamodeling

Andrea Gioia

Revolutionizing Drug Discovery: Structure Activity Research (SAR) Structure-Activity Research (SAR) is at the heart of drug discovery, but it often faces challenges in data integration, findability, and reproducibility. Enter FAIR data principles and Knowledge Graphs - a transformative combination. ·Checkout our new article on enabling scientists to efficiently conduct SAR in Pharma Discovery! #DrugDiscovery #SAR #FAIRData #KnowledgeGraphs #Innovation #Research #pharmaceuticals

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