Recent Blog Posts

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  • Blog
    Measuring Set Similarity with Jaccard Coefficients
    Measuring Set Similarity with Jaccard Coefficients

    A Jaccard Coefficient is a measure between 0 and 1 (representing 0 to 100%) that quantifies the similarity between two sample sets. It compares members of each set to see which are shared and which are unique to each of the sets and the higher the coefficient, the more similar the two sets are deemed to be.

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  • Blog
    Single-Source Shortest Path and Connected Components
    Single-Source Shortest Path and Connected Components

    This article is the second in a series of short pieces introducing the Katana Graph Python Library for Graph Analytics. We will focus on single-source shortest path and connected components graph analytics algorithms in the library.

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  • Blog
    Recommender Systems
    Recommender Systems

    As product availability becomes vaster and more varied, consumers want simpler shopping experiences.

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  • Blog
    The Graph Computing Differentiator for Life Sciences
    The Graph Computing Differentiator for Life Sciences

    Few industries are as data-intensive—and as highly regulated—as life sciences. Organizations in this space routinely contend with data at an unparalleled scale compared to those in other verticals, especially for mission-critical use cases like precision medicine and bringing new pharmaceuticals to market.

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  • Blog
    Introducing Katana Graph’s Python Library for Graph Analytics
    Introducing Katana Graph’s Python Library for Graph Analytics

    Graph processing is an emerging application area and a necessary tool for data scientists working with large datasets. Graphs in practical applications can grow to immense sizes. For example, social networks today can have billions of nodes and edges, so high-performance parallel computing is essential.

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  • Blog
    The Importance of Human-in-the-Loop Systems in ML and AI
    The Importance of Human-in-the-Loop Systems in ML and AI

    As Eric Schmidt, former CEO of Google, said in his 2017 book, How Google Works, "A.I. is imprecise, which means it can be unreliable as a partner. But, on the other hand, it's dynamic in the sense that it's changing all the time. It's emergent and does things that you don't expect. And, most importantly, it's capable of learning."

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  • Blog
    A New Approach to Drug Discovery
    A New Approach to Drug Discovery

    Bold, innovative companies are leading the charge toward drug discovery through artificial intelligence and machine learning, resulting in a more effective, less expensive method for finding new drugs. However, the modern drug discovery process is loaded with Big Data, and it’s difficult to find small needles in immense haystacks.

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  • Blog
    AI-Curated Models Bridge the Credit Decisioning Gap
    AI-Curated Models Bridge the Credit Decisioning Gap

    The digital transformation of the financial services industry is one of the biggest things happening in the banking industry. The way people access and receive credit is quickly changing, and this change will affect all credit-focused lenders, including mortgage lenders.

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Webinars & Podcasts

  • Podcast
    CEO Extracts Actionable Insights from Massive Datasets

    Keshav Pingali, CEO and co-founder of Katana Graph, joins the I AM CEO podcast to discuss Katana Graph’s origins and the duties and responsibilities of a CEO.

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  • On-demand Webinar
    On-demand Webinar: Building a Foundation for Scalable ML and AI
    On-demand Webinar: Building a Foundation for Scalable ML and AI

    Artificial intelligence is making its mark on every aspect of computing and graphs are playing a key role in AI and big data analytics, providing insights in many domains through traditional graph algorithms and graph neural networks. As the size of these data sets increase, the computing power needed also increases and the software techniques to manage it becomes ever more critical. Watch this special DBTA-hosted roundtable discussion featuring Roshan Dathathri, Sr. Software Engineer at Katana Graph, Josiah Vincent Solutions Engineer at Delphix, Phoebe Liu, Senior Data Scientist at Appen and moderated by Stephen Faig, Research Director at Unisphere Research and DBTA, to learn how to manage AI at scale utilizing clusters of machines and specialized hardware for processing large scale graphs. In addition, you will earn how Katana Graph and Intel are teaming together to analyze massive data sets and producing an efficient and scalable graph analytics and AI library that works across a wide variety of platforms. Simply fill out the form to the right to watch now.

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Latest News & Events

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DEMOS & DEVELOPER SUPPORT

Our Graph-Intelligence Platform in Action

Check out a series of demo videos demonstrating the Katana Graph platform’s unique capabilities. Get a feel for how end-to-end data flow and high-performance computing can turn your massive data into real-world results.

Explore the Demos

Data Sheets

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  • Data Sheets
    Credit Modeling
    Financial Services Credit Modeling

    Achieving new breakthrough levels of improved lending outcomes requires continuous improvement of credit modeling using the most advanced predictive technologies possible, particularly graph AI.

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  • Data Sheets
    360 Degree Customer Insights
    Financial Services 360 Degree Customer Insights

    Organizations have more customer data sources than ever—purchase history, campaign activity, interactions across all channels, demographics and countless more—which together can reveal new, 360-degree customer insights, including predicting future needs and wants.

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  • Data Sheets
    RDKit Integration
    Health & Life Sciences RDKit Integration

    The success of your drug discovery innovation efforts depends heavily on the speed and accuracy in which hypotheses can be generated and tested. The Katana Graph intelligence platform fulfills this essential need for life sciences companies in ways alternative solutions simply cannot match.

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  • Data Sheets
    Intelligent Identity Governance & Administration (IGA)

    The 2020 global pandemic forced organizations to accommodate a sudden, massive spike in remote work, business and communications. Many companies have found their identity and access management (IAM) systems cannot keep up with today’s highly complex and demanding identity landscape.

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  • Data Sheets
    The Katana Graph Intelligence Platform

    Katana Graph provides a Graph Intelligence Platform offering elastic performance at massive scale for Graph Queries (contextual search), Graph Analytics (path finding, centrality and community detection), Graph Mining (pattern discovery), and Graph AI (prediction).

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  • Data Sheets
    System Intrusion Detection

    Katana Graph Intelligence Platform detects a broad spectrum of intrusions in real time that might otherwise evade traditional IDS tools, through the power of next-generation graph analytics, mining and AI.

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  • Data Sheets
    Industry Overview: Life Sciences
    Health & Life Sciences Industry Overview: Life Sciences

    Katana Graph offers a breakthrough graph intelligence platform that enables life sciences organizations to reap the huge potential of graph processing and AI, at levels of scale and performance no other data platform can match.

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  • Data Sheets
    Drug Discovery
    Health & Life Sciences Drug Discovery

    Katana Graph enables life sciences knowledge workers to store, query, mine and develop AI models using heterogeneous data sources, to reveal breakthrough insights at levels of scale and performance no other data platform can match.

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  • Data Sheets
    Fraud Detection
    Financial Services Fraud Detection

    Katana Graph has developed a next generation graph intelligence platform that provides breakthrough processing essential for today’s real-time anti-fraud applications. Katana Graph efficiently handles highly complex graph queries, algorithms and deep learning models, at massive scale and speed that other graph solutions simply cannot match.

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  • Data Sheets
    Industry Overview: Security

    Organizations are actively improving customer engagement and optimizing business operations. New technologies to fulfill these demands have been introduced, from the Internet of Things (IoT) to SaaS solutions capable of managing the most complex networks of customers, partners and distributors. However, these technologies have also become targets for cybercrime.

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  • Data Sheets
    Industry Overview: Financial Services

    Katana Graph helps financial services companies more effectively detect fraud in real time, while also seizing new business opportunities through expanded, personalized services.

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