Equitus.ai

?? ?????????????????????? ?????? ???? ?????????????? ???????? ???????? ???????? ???????????????? ?? Eliminate the need for Complex ETL Pipelines, High Infrastructure Costs, and Data Movement. No more Reprocessing Data or dealing with Duplicate Storage! ????? ?Equitus is reshaping the way we Integrate Data. Unlike conventional ETL, KGNN (Knowledge Graph Neural Network) minimizes the need for complex data pipelines and opens the door to Faster, more Efficient Data Workflows.???? 1?? ?????????????? ????????????????????: Eliminate the need for extensive manual data mapping, cumbersome schema transformations, and complex data engineering. ???? 2?? ?????????????????? ????????????????: Break down data silos by querying multiple sources in real-time without moving the data. ??? 3?? ?????????????? ?????? ??????????????????????: Simplified architecture with faster data source inclusion. Easily scale your data infrastructure without reengineering pipelines every time a data source changes. ???? 4?? ????????-???????? ????????????????: Immediate access to fresh data for analytics, AI, and ML supports faster decision-making and real-time use cases like fraud detection and supply chain optimization. ?????? 5?? ?????????????? ?????????? & ????????: Speed up data accessibility with automated ingestion, avoid labor-intensive manual processing, and lower infrastructure and maintenance costs. This frees up valuable time and budget for innovation and strategic initiatives! ???? ?? ????????: ????????-???????? ?????????????????? ?????? ???? ?????????????? ?????? ?????? ????????????????????! ? ?? Data Integration made Simpler, Faster, and more Efficient. ?? ?????????????? ???? ?? --------------------------------------- Learn more about traditional ETL with this excellent article from Doug Rose https://lnkd.in/ed3Y9UTt also take a look at his very informative newsletter: https://lnkd.in/e9wA23zj Don't forget to check out the funny illustrated post by Benjamin Rogojan that humorously captures the challenges data teams face and their strategies, in a delightful way https://lnkd.in/eJEVE79F Or even 'In God we trust; all others must bring data,' by Benn Stancil. This post is not about ETL but is more philosophical, emphasizing the need for complete, structured, clean, AI-ready data to generate relevant, bias-free, error-free insights for making decisions based on actionable facts. Love it! https://lnkd.in/e5Thm7Ze

Twenty years ago, the financial industry faced a harsh lesson: ???????? ?????? ???????? ?????????????????????????? ?????????????????? ??????'?? ???????????????? ?????? ????????.?? The mortgage crisis demonstrated that Good Data Science + Bad Data = Bad Business Results. As AI promises transformative outcomes, we're reminded that data quality is more critical than ever.??? AI models frequently get things wrong, not because of flawed algorithms, but because they're fed with poor-quality data.?????? ?? Warnings about data quality come from industry leaders and researchers alike, yet many organizations have yet to tackle this pressing issue. ?? ?? The article below by Tom Redman, published in Harvard Business Review, dives deeper into the critical importance of data quality in AI initiatives. ????, ????????'?? ?????? ????????????????? ?? Data readiness is the foundation of successful AI initiatives. Equitus helps organizations overcome data challenges by automating: ? ???????? ?????????????????????? : Seamlessly bring together data from diverse sources without the manual hassle. ?? ? ???????????????????????????? ???????????????????? ????????: Provide your AI models with high-quality, relevant data for better predictions and insights.?? ? ???? ?????? ??????-??????????: Prepare your data for for AI Projects, AI Apps, and Next-Gen Apps. Ready for Retrieval-Augmented Generation (RAG), enhancing the capabilities of generative AI models. ?? Don't let history repeat itself; ensure your AI projects deliver impactful results with the right data. ?????????????? ?????????? ?????? ???????????????? ???????????????????????????? ????????????????????, ???????????? ??????????, ?????? ???????????????????? ????-???????????? ????????????????????.??? ?????????????? ???? ?? ?#DataQuality #AI #DataIntegration ------------------------------------------ ?? I also recommend following experts like Dr. Sebastian Wernicke , Kevin Hu, PhD, and George Firican for their valuable insights on data quality and AI. ?? I'd love to hear your thoughts, please share your expertise in the comments! Cedric Signori By Dr. Sebastian Wernicke "Data quality is the backbone of every successful data strategy, yet often treated like broccoli on a kid's plate" https://lnkd.in/eDgG87Az By Kevin Hu, PhD, "Data is useless on its own. It needs context to have any impact." By George Firican, "Do you want to have less data quality issues?" https://lnkd.in/eEtz9Jif

???? Amazon Web Services (AWS) ?????????? ?????????? ????-????????, ????’???? ?????????????? ?????????????? ???IBM ?????????????? ?????????? ???? ?????? ??????????! ?? Many businesses are rethinking their cloud strategies and shifting workloads back to on-premises infrastructure due to cost concerns, data ownership, and the need for greater control over resources. ?????? ?? ?????? ???????????? ???????? ?????? ??????????????: 1?? ?????????? ???????????????????????? ??????????: AWS acknowledges that customers are moving workloads back to on-premises environments. 2?? ?????????????? ?????? ?????? ??????????: Factors include reallocating internal finances, adjusting access to technology, and increasing ownership of resources, data, and security. 3?? ???????? ????????????????????????????: The promise of cloud cost-effectiveness is being questioned as on-premises and hybrid solutions offer more predictable expenses. 4?? ???????????? ?????? ???????????????????? ????????????????????: Many companies are not entirely abandoning AWS but are exploring hybrid and multicloud setups for flexibility and control. ?? ???????????????????? ???? ????-???????????????? ????????????????????????????: ? ???????????????? ??????????????: Complete ownership over hardware and software configurations. ?? ???????? ????????????????: Greater ability to implement stringent security measures and comply with regulatory requirements. ???????????????????????? ????????????????????????: Tailored solutions to meet specific workload needs without relying on shared cloud resources. ?? ???????? ????????????????????????????: Fixed costs associated with maintaining in-house infrastructure. To overcome data fragmentation and AI challenges, embedding ?????????????? ???????? ???? IBM ?????????????? ?????????????? ???????????????? ?? ????????????, ????????, ?????? ????????-?????????????????? ????-???????????????? ????????????????. ???? This integration, optimized for MMA, automatically transforms disparate, unstructured data into semantically rich, AI-ready information on GPU-free servers (AIU chip), which are ?????????????? ???? ?????? ?????? ?????? ?????? ???? ?????????? ???????????? ??????????????????????. ???? ?? ???????? ???? ?????? ?????????????? ???? ?????????????????? ?????? ???????? ?????????????????? ????????????????????????, enabling real-time data processing and analysis at the edge, crucial for industries like defense, manufacturing, and finance where latency and data security are paramount. ?????? Equitus empowers businesses to ?????????????? ???????????????? ???? ???????????????????????? ?????????? ?????????????????????? ?????????????? ???????? ?????????? ???????? ?????? ???????????????????????????? ???? ?????? ???????? ????????-?????????????????? ??????. ????? ?????????????? ???? ???? ?????????????? ?????? ?????????????????????????? ???? ???????? ????????????????????????! ??? https://lnkd.in/eJCZ9TBf

#KG "?????? ???????????? ???? ???? ???????????????? ?????? ?????? ???????????? ???? ???? ??????????." *?? If your system can't Define it, Explain it, Correlate it, and put it into Context, does it really exist? Or maybe the Data is here but it's just noise. ?? In theory, querying a dataset seems simple, straightforward queries pulling isolated data points. But in reality, it's rarely that easy.. ???? ???? ???? ???????????????? ????????????????????????, overlapping processes, and conflicting priorities, ???????????? ?????? ??????????. ???Interrelated and conflicting information, disambiguation challenges, and duplicate data further complicate the landscape. ?? ???????? ???? ?????????? ???????????????????? ?????????????????? ?????????????? ????????????????? By layering ontologies and semantic frameworks, we not only handle complexity but improve reasoning. Structured knowledge turns disorganized data into actionable insights, allowing us to understand, contextualize, and make informed choices. ?? ??Building an ontology or a semantic layer looks simple on the surface, but the complexity behind the scenes is where true value is created. ?????? ?????????????????? ??????'?? ???? ?????? ??????????????, ????'?? ???? ?????????????????? ???? ??????????????????????. ?? ?? ????????’?? ?????????? ???? ??????????: At the enterprise level, the sheer volume of fragmented data, the variety in its nature, the continuous flow of real-time data, and the multi-location silos make manual handling impossible, beyond human capabilities. ?? ?????????????????? I????????????????, ???????????????????? ??????????????, ?????? ?????????????????? ?????????? ????????-???????????????????????? ?????? ???? ???????????? ????????????????, they are critical to ensuring scalable, real-time data handling and intelligence across the enterprise.?? ?????? ????'?? ?????? ??????????????????, ????'?? ?????? ????????????. ?????? ???????? ???????? ??????'?? ??????????, ???? ??????'?? ??????????????.? ?????????? ???? ???????? ???? ???????????? ???? ?????? ?????????????? ???? ?????????? ????. ?????????? ???? ???????? ???????? ??????????????????, ???? ???????? ???? ??????????????. At the end of the day, ???????? ?????????????? ?????????????? ???? ???????? ??????????. A robust semantic layer ensures clarity, accuracy, and relevance. ??Choose your data framework wisely. ?? ???As humanoid robots ?? like Neo from 1X, Bernt ?ivind B?rnich, and Figure 02 , Brett Adcock, rise to become autonomous co-workers, they will need to understand our world much like we do. To achieve that, they’ll require structured knowledge: ?Equitus.ai KGNN? ------- ROBOTS Figure 02: https://lnkd.in/esduZX8S 1X Neo Beta: https://lnkd.in/eui_WmMT ------- Check out "Meaning is in the structure..." by Andrea Gioia https://lnkd.in/ef3jk22n Explore ontologies "Where do you start... ?" from Jérémy Ravenel https://lnkd.in/enhgjmTv Design: Gapingvoid Culture Design Group * Ludwig Wittgenstein, philosopher

? ?????????????????? ???????????? ???????????????????? ???????????????????? ???? ?? ???????????????? ???????? ?????? ???????? ???????????????????? ?????? ?????????????????????????? ??If we can’t trust data, we can’t trust AI outcomes. Prioritizing data quality and governance is essential as demands grow. ?? Traditional data monitoring and governance approaches fall short. Teams must now continuously monitor and resolve issues at scale. ???? Knowledge Graphs are now a major force in #DataGovernance, recognized as a key tool by the 2024 Gartner Hype Cycle for Data Governance, where they've reached the Slope of Enlightenment. ?? This highlights their growing role in ensuring trustworthy, high-quality data and compliance. #KnowledgeGraphs are proving to be a highly effective solution for managing and governing complex data ecosystems at scale. ?? ?????? ???? ?????????????????? ???????????? ?????????????? ???????? ?????????????????????????? ?????? ????????????????????? ???? 1?? ???????? ?????????????? ?????? ???????????????????? ????: Track data origins and transformations for transparency and governance compliance. Detailed tracking helps understand how data has evolved and who has accessed it. 2?? ???????????????????? ???????????????? ????? KGs connect data points and represent relationships, providing rich insights that help detect data issues and assess their impact across systems. They also enhance security by identifying where sensitive data resides, how it flows, and who has access to it. 3?? ?????????????????? ?????????????????????? ???? Knowledge Graphs like KGNN automatically map and integrate data from diverse sources, ensuring that it is structured, clean, and aligned with governance policies. This reduces manual intervention, minimizes errors, and ensures data is ready for analysis. 4?? ????????-???????? ???????????????????? ??? Ensure data quality and governance compliance dynamically. Quickly detect inconsistencies, non-compliance issues, or unauthorized access, for immediate issue resolution. 5?? ???????????????? ???????? ?????????????????? & ???????????? ?????????????? ??KGs offer a clear and holistic view of the data ecosystem, enabling easy data discovery while enforcing governance rules. Fine-grained access controls ensure that only authorized users access sensitive data, maintaining privacy and security. 6?? ???????????????? ???????????????????? & ???????????????????? ????KGs enrich data with context, simplifying quality checks and governance. They help classify data based on sensitivity and regulatory needs, ensuring compliance while supporting AI and machine learning use cases. KGs can be integrated into a data fabric to enhance Data Observability and governance, complementing platforms like Monte Carlo (Barr Moses) or Cloudera (Charles Sansbury). Check the great post from George Firican on Data Governance https://lnkd.in/er4P4WVf, and the webinar from Andrea Gioia on KGs https://lnkd.in/eEsWSiMR

?? ?????????????????? ?????????? ????????????????: ?????? ?????? ???????? ?????????????????????? ??????????????! ??In the first half of 2024, we've seen a surge in major tech firms snapping up knowledge graph startups. Here's why: ?? ???? ??????????????????????: Samsung Electronics acquired Oxford Semantic Technologies to boost Galaxy AI ?? ???????? ??????????????????: Altair bought Cambridge Semantics Inc. for advanced insights ?? ???????????????????? ????????????: Squirro integrated Synaptica for improved taxonomy management ?? ???????????????????? ????????: ComplyAdvantage strengthened compliance with Golden acquisition ----------------- ?????? ?????? ????????? ?? ------------------ ?? Knowledge graphs unlock new levels of insight and efficiency ?? They connect data in ways that mimic human reasoning ?? Crucial for personalization, search, and complex problem-solving The message is clear:??????????????????? ?????????? ???????????????????? ???? ???? ???????????? ????????????????, ????'?? ?????????????????? ?????? ?????????????? ?????????????????????? ???? ??????????'?? ???????? ??????????????????. ?? The future belongs to those who can harness the power of knowledge graphs. ?? ???? ???????????????????? ?????? ???????????????????? ?????? ???????????????????? ???? ????????, ???????? our ???????????????? ?????????????????? ?????????? ???????????????? ???????????????????????? ?????????????? ?????????????????????????? ???????????????????? ?????????????????? ????????????, empowering organizations to achieve unprecedented levels of insight, efficiency, and accuracy. ?? Are you leveraging the power of knowledge graphs? ???? #KnowledgeGraphs #TechAcquisitions #AI #DataAnalytics #Innovation IBM ---------------------------------------------------------------------------------- Curious to hear thoughts from leaders like Andreas Horn, Jérémy Ravenel Mike Dillinger, PhD, PhD, Tony Seale and Chia Jeng Yang, this trend could be game-changing for both knowledge graph startups and the clients of major tech firms. ----------------------------------------------------------------------------------- GenAI.Works would love for you to cover KG technology, enhancing LLMs, RAG, AI explainability, and much more!

Knowledge Graphs are The Future of.. ?Data Integration, Data Analytics, Data Management, Business Intelligence, AI...

?? ????: ?????????????????????? ???? ??????????, ?????? ???????? ?? Forget replicating entire datasets. The future of Data Integration is all about replicating FACTS. ?? Traditional methods like manual ETL and data lakes are becoming outdated as we face an explosion of unstructured data, 80-90% of the world's data is now unstructured! ??This complexity means data scientists spend nearly 80% of their time just preparing data instead of analyzing it.?? ?? ?????? ?????????? ???? ???????? ?????? ?????? ?????????????????? ???????????? 1?? ????????-?????????????? ????????????????: Auto ETL zeroes in on relevant facts, not entire datasets. This targeted strategy slashes processing time and conserves resources, making data management lean and efficient. 2?? ?????????????????? ?????????? ??????????????????????: By overlaying knowledge graphs onto data fabrics, we create a semantic and ontological map of data. This preserves context and meaning, enabling a nuanced understanding of how different data points interconnect. 3?? ????-?????????????? ????????????????????: NLP, ML drive the extraction, transformation, and loading of data, creating resilient and self-maintaining pipelines. When data sources evolve, our systems adapt seamlessly, ensuring continuous data flow. 4?? ???????????????? ?????????? ??????????????????: Knowledge graphs empower businesses to execute razor-sharp queries. By targeting specific data relationships and facts, we bypass the need to sift through massive, unwieldy datasets, leading to faster, more accurate insights. 5?? ???????????????????? ??????????????????: By focusing on facts rather than entire datasets, we significantly cut data redundancy. This not only optimizes storage and processing resources but ensures that the data in use is always relevant and up-to-date. -------------------------------------------------------------------- ?? ???? ???????????? ?????? ???????? ?????????????? ????????, ?????? ?????????? ?????????????????????? ????.? At the intersection of ?????????????????? ??????, ???????????????? ?????????????? ????????????????????, and ????????????????-???????????? ???????? ?????????????????????? lies the future of data management. -------------------------------------------------------------------- ?? That’s the power of ??????????????' ???????? ???????????????? #???????????????????????????? ?????? ?????? ???????????????????? ???????????????? ???????? ??????????????. It understands context, adapts to change, and delivers precise insights when you need them most. ------------------- A Big Thank You to the Knowledge Graph, Data Architecture and Data Integration Experts! ------------------- ?? Special thanks to Juan Sequeda, Deepak Bhardwaj, Charlotte Ledoux, Barr Moses their outstanding work and thought leadership in this space. Your posts are a goldmine of knowledge for anyone passionate about these topics. ?? I highly recommend checking out their insightful posts and giving them a follow!

?????????????????? ???????????? ???????????? ?????? ???? ?????????????????? ???????????? $??.?? ?????????????? ???? ???????? This surge isn’t just a trend or hype—valued at USD 1 billion in 2022, its massive adoption driven by the critical need for data integration and unification across industries has already surpassed predictions. As organizations grapple with the challenge of managing vast, disparate data sources, ?????????????????? ???????????? ???????? ???????????? ??????????????????????????. ???? 1?? ??????????????????????????, what are you waiting for? 2?? ??????????????????, don’t miss the chance to invest in Equitus AI, one of the most promising players in the field, as the market for knowledge graphs is set for exponential growth. ???? -------------------- ?????? ???????????? ??????????????: -------------------- ? ???? ?????? ???? ??????????????????????: The growing adoption of AI and ML technologies has significantly fueled the demand for knowledge graphs. These graphs enhance the ability of systems to understand and process natural language, leading to more accurate and context-aware applications. ???? ? ???????? ?????????????????????? ?????? ????????????????: Knowledge graphs offer a powerful solution for integrating, managing, and analyzing disparate data sources. By connecting related data points and uncovering hidden relationships, they provide insights that traditional databases might miss. ???? -------------------------------------------------------------------- ?????????????????????????????, ?????? ???????? ???? ?????? ???? ??????—leverage this powerful technology to stay ahead in a data-driven world.? ?? ??????????????????, ?????? ?????????????????????? ???? ????????—Equitus AI stands out as a leading innovator poised to capitalize on this explosive market growth. ?? Don’t wait: position yourself for success?? ?? ???????? ?????????? ?????? ???? ?????? ?????? ???????????????????? ?????????????????????????? ?????????????? ???? ?????? ???????????? ???? ??????????????????, ????????????????, ?????? ?????????????????? ????????????. ?? Jérémy Ravenel Mike Dillinger, PhD Jay (JieBing) Yu, PhD Anthony Alcaraz Tony Seale Chia Jeng Yang Your dedication and expertise are helping the community and organizations around the world understand the immense benefits of this fantastic technology. There's so much room for growth, and we’re just getting started! ?? #SemanticSearch #RecommendationSystems #DataIntegration #KnowledgeManagement #AI #ML ???Resources: Website: https://equitus.ai/ Market Insights: https://lnkd.in/esvYcACa

?????????????????? ???????????? ???????????? ?????? ???? ?????????????????? ???????????? $??.?? ?????????????? ???? ???????? This surge isn’t just a trend or hype—valued at USD 1 billion in 2022, its massive adoption driven by the critical need for data integration and unification across industries has already surpassed predictions. As organizations grapple with the challenge of managing vast, disparate data sources, ?????????????????? ???????????? ???????? ???????????? ??????????????????????????. ???? 1?? ??????????????????????????, what are you waiting for? 2?? ??????????????????, don’t miss the chance to invest in Equitus AI, one of the most promising players in the field, as the market for knowledge graphs is set for exponential growth. ???? -------------------- ?????? ???????????? ??????????????: -------------------- ? ???? ?????? ???? ??????????????????????: The growing adoption of AI and ML technologies has significantly fueled the demand for knowledge graphs. These graphs enhance the ability of systems to understand and process natural language, leading to more accurate and context-aware applications. ???? ? ???????? ?????????????????????? ?????? ????????????????: Knowledge graphs offer a powerful solution for integrating, managing, and analyzing disparate data sources. By connecting related data points and uncovering hidden relationships, they provide insights that traditional databases might miss. ???? -------------------------------------------------------------------- ?????????????????????????????, ?????? ???????? ???? ?????? ???? ??????—leverage this powerful technology to stay ahead in a data-driven world.? ?? ??????????????????, ?????? ?????????????????????? ???? ????????—Equitus AI stands out as a leading innovator poised to capitalize on this explosive market growth. ?? Don’t wait: position yourself for success?? ?? ???????? ?????????? ?????? ???? ?????? ?????? ???????????????????? ?????????????????????????? ?????????????? ???? ?????? ???????????? ???? ??????????????????, ????????????????, ?????? ?????????????????? ????????????. ?? Jérémy Ravenel Mike Dillinger, PhD Jay (JieBing) Yu, PhD Anthony Alcaraz Tony Seale Chia Jeng Yang Your dedication and expertise are helping the community and organizations around the world understand the immense benefits of this fantastic technology. There's so much room for growth, and we’re just getting started! ?? #SemanticSearch #RecommendationSystems #DataIntegration #KnowledgeManagement #AI #ML ???Resources: Website: https://equitus.ai/ Market Insights: https://lnkd.in/esvYcACa