To understand the threats and opportunities, and to be competitive in today’s enterprise world, businesses must gather structured and unstructured data from all available sources.

One of the most fascinating concepts to emerge from Facebook was the social graph. Basically, social graphs mapped the user’s connections. The output was a graph defining and illustrating the relationships between the users, their connections, their connections’ connections, and more. Visualization of the graph along with its implications have been a great source of amusement.

Keynote highlights from CEO Keshav Pingali’s talk at the Knowledge Graph Conference 2021, “High-Performance Knowledge Graph Computing on the Katana Graph Platform.”

The Language of Graph series of posts will attempt to tame some complexity and clarify graph terminology. The first post in this series is focused on Graph Query.

The pandemic changed the way we all work. Work from home (WFH) has provided businesses with new challenges in Identity and Access Management (IAM) safety. Last year alone McAfee ATR observed an average of 588 threats per minute, an increase of 40% in the third quarter of 2020 (McAfee ATR, 2021).

Extortion is big business. If measured as a country, cybercrime would be the third largest economy after the U.S. and China (Morgan, 2020). It is an understatement to say cybercrime has increased considerably since 2013. Billionaire businessman and philanthropist Warren Buffet recently wrote that cybercrime is now mankind’s greatest challenge, suggesting that cyberattacks are a bigger threat than nuclear weapons.

The Pandora Papers findings were brought together by the International Consortium of Investigative Journalists (ICIJ). Pandora definitely earns its name, and we know all too well how the ancient Greek story of Pandora’s Box turned out. In a recent disclosure, twelve million documents revealed hidden wealth, tax avoidance and, in some cases, money laundering by some of the world's richest and most powerful. The files exposed how some of the most powerful people in the world - including more than 330 politicians from 90 countries - use secret offshore companies to hide their wealth, uncovering dirty deeds that make honest folk cringe.

Graph analytics products cover a wide range of topics and end users, so terms can often be used by one group of users but not by another. In the spirit of helping everyone understand graph analytics better, here are the top 15 terms worth knowing.

What is network graph visualization and how can you start to use it today? There are many different ways to display, render, and interact with your graph data. Analysts are using tools from desktop applications like Graphviz, Gephi, and Cytoscape, web-based libraries and visualization platforms like sigma.js and Linkurio.us or data science platforms such as Python and Jupyter notebooks. In this post we look at an example from each of these categories to help you understand the options you have available.

The reports of the increase in fraud, suspicious account activity, and money laundering have also increased spending on threat detection. Fraud impacts most industries, but financial institutions are often targets for the most advanced attacks. In financial institutions, these serious threats have historically been treated as IT problems, but are now seen as needing tighter integration with business analytics.

"The pandemic makes collaboration a little bit harder. There are definitely times when it would be great to have a whiteboard. But by and large, we've made a lot of progress and continue to have a lot of fun and largely be unaffected, so I think we're very lucky in that regard." - Chris Rossbach

Katana Graph is proud to announce: We’re Great Place to Work Certified! Ninety-eight percent of our employees at Katana Graph said this is a great place to work; for typical US companies the rate is fifty-nine percent. Ninety-six percent of our employees said they joined Katana Graph because they felt like they were warmly welcomed. Katana values the talent and energy of all its members.

Katana Graph’s unified intelligence platform is built from the ground up to drive innovation across a wide range of industries and use cases.

In part one of this topic, we looked at how network graph tools do more than just visualize data. How data is stored and represented is essential, as are the kinds of analysis available to different tools. In this post, we continue the discussion and describe the role that query languages, databases, and software licensing play in the network graph toolkit space.

One of the greatest obstacles to using data to solve problems is that 80% of the world’s data is unstructured. Businesses are struggling to use data to gain important and timely insights to solve pressing problems. But another equally paralyzing challenge is the congestion resulting from the sheer bulk of relevant business data. Katana Graph has a strategy and technology to help businesses with the daunting task of utilizing their data so that business can grow and produce.

The Katana Graph Intelligence Platform enables enterprises to accelerate data-driven business decisions from R&D to production with a flexible, scalable, easy-to-use platform. The Graph Intelligence Platform focuses on solving the three main pain points working with enterprise data: scale, performance, and ease of use.