Malcolm Hawker’s Post

Data Revolution: The Emergence of the Decentralized Enterprise Knowledge Graph An AI tsunami is on the rise, and the past few months have only amplified it. To survive it and thrive in tomorrow’s economy, organizations big and small must rethink the way they do business. To do this, a radical shift in the way they work with their data is needed. Achieving this will require a radical rethink of some established ideas about enterprise data integration. The truth is meaningful data doesn't exist in isolation; everything is positioned within the context of everything else. That is why the future of data is graph shaped … but what are graphs and what is so great about them? Knowledge Graphs are a really powerful tool, but on their own, they are not enough to transform enterprise data integration. We also need to get our heads around the complex idea of decentralisation. In a decentralised data mesh, the responsibility for data integration is pushed down to the individual applications. Unbeknownst to most people, a third of all web pages now contain little islands of data that help the search engines build their knowledge graphs. Enterprises do not need to reinvent the wheel to build themselves a Decentralised Enterprise Knowledge Graph. They can just take this battle-hardened web tech and use it behind their firewall to connect their internal data. In other words, the tools for this job already exist but enterprises are not yet using them internally. In this talk, we’ll share the hard won experience of how this was done for the world’s largest financial organizations. You'd be justified to think this forward-looking message by Tony Seale was just delivered in a recent talk. In fact, this talk is a #FlashbackFriday podcast episode from our vault. A departure from our usual schedule of delivering podcast episodes every first Monday on the month. Enjoy, and prepare for something big to drop on Monday. Hint: Tony will be a part of it too. --- Tony Seale is a Knowledge Graph Architect at UBS. An experienced software architect and polyglot programmer with a proven track record of successfully delivering Knowledge Graphs into production for Tier 1 investment banks. He has been exclusively focused on building decentralized Knowledge Graphs for the last ten years and has given talks, produced videos and written articles to promote the technology. #KnowledgeGraph #AI #DataScience #EmergingTech #Podcast https://lnkd.in/dgqY-eDy

In our latest podcast, Dr Imad Syed dives into the revolutionary approach SmartIG brings to data migration. Here’s what makes SmartIG stand out: 🔹 Predefined Processes: 80% of the transformations you need are already set up by SmartIG, simplifying the complex shift. 🔹 Reduced Dependency on Experts: Traditional methods need a lot of specialized consultants. SmartIG changes this by integrating data science and built-in pipelines that handle everything from validation to transformation. 🔹 Efficient and Autonomous: With SmartIG, your data migration can run overnight. SmartIG seamlessly connects, discovers, and analyzes data automatically, making migrations smooth and straightforward. Imagine doing your go-live simulations and testing while you sleep! That’s the power of SmartIG. Stay tuned for more insights and transform the way you think about data migration! 🌟 #datascience #dataanalytics #datamigration #smartintegraphics Pio Marolla

Self-serve data is the holy grail — it's the democratization of data where anyone can ask any question. But the challenge I’ve seen is that even with access, people often don’t know what to ask. This is where AI will play a major role in guiding those questions and unlocking the full potential of data insights. Check out my conversation on the DataFramed podcast with Richard Cotton.

Here’s what makes SmartIG stand out Predefined Processes 80% of the transformations you need are already set up by SmartIG, simplifying the complex shift.

Luke Komiskey, DataDrive’s CEO, is becoming quite the hit on the podcast circuit. On a recent episode of Action’s “Data in Chief” series, Luke discusses the transformative impact of managed analytic services on small and medium-sized businesses (SMBs). Tune in as he waxes eloquently on the critical components of building a robust data foundation, the future of analytics in the age of AI, and practical advice for businesses navigating their own data journeys. https://bit.ly/3UwXWC3

A great listen on some of the challenges associated with AI and how Informatica can help! Please reach out if you are interested in learning more.

The MLOps Community podcast was one of the podcasts I always enjoyed listening to. So, it was particularly exciting that Demetrios Brinkmann had asked me to contribute. In the latest Coffee Session episode, you can hear me talk about how data visualization and embeddings can support you in understanding your machine learning data. Here are some insights from our discussion: - Visualization Techniques: I discuss using UMAP to simplify data into two-dimensional maps to identify clusters and anomalies in large ML datasets. - Practical Applications: We explore how these techniques are applied in real-world scenarios, particularly in collaborations with automotive companies to enhance simulations and data analysis. - Challenges with Data: We address the challenges of large, unstructured datasets and the need for better tools. - Feedback and Iteration: We talk about the importance of incorporating real user feedback into the development of models and visualizations. 🎙️ Visualize - Bringing Structure to Unstructured Data // Markus Stoll // #258 https://lnkd.in/gyHpYr-V

The key takeaways from Sunday's SDSS Podcast featuring guest Nathan Brown underscore the importance of data quality and contextual understanding in machine learning. Together, these insights reflect a consensus on the critical need for thoughtful data management and the human touch in optimizing technological solutions. #TransformCX #SDSS #SDSSPodcast #ThoughtLeadership Tim Keefe | Andreas Wieman | Nathan Brown | Matt Benjamin | Scott Sneddon | Amy Huston Goetze | Arlene Durana | Marina Tiopisto | Len Manzano

Welcome to this week's episode of the Bytes to Insights podcast, where we discuss the latest breakthroughs and trends in artificial intelligence. Join us as we explore how AI is reshaping industries, governance, and innovation across the globe. Let’s dive in!   

AI-ready data significantly impacts businesses by enabling more accurate and efficient decision-making. It ensures that data is clean, structured, and relevant, which facilitates the development of reliable AI models. This can lead to improved operational efficiency, personalized customer experiences, and innovative product offerings. Additionally, AI-ready data helps in predictive analytics, risk management, and strategic planning, ultimately driving competitive advantage and business growth. #Precisely #dataintegrity