Join us June 23rd to understand how to create a robust Data Architecture for BI and data analytics that takes both business and tech needs into consideration.
Researchers at Intel Labs Creates A New Data Science Pipeline that Accelerates Single-cell RNA-Seq Analysis
A new study by the Intel oneDAL team in collaboration with Katana Graph teams at Intel Labs improves the pipeline’s performance by applying more parallel algorithms and fine-tuning its performance to the architecture.
Graph technology, in conjunction with other analytics technologies, can enable organizations to unlock deep insights from the enormous amount of data they already own. Katana Graph’s platform addresses these technologies, to help extract intelligence from data.
Hyper-parameters are invaluable to devising accurate predictions from advanced machine learning models, which are oftentimes implemented with the compute and scale of deep learning. Those predictions, of course, can solve almost a limitless variety of business problems, from fortifying cyber security defenses to determining which customers are most advantageous to issue loans.
According to Gartner, graph technologies will be used in 80% of data and analytics innovations by 2025, a significant increase from the 10% used in 2021.
Join us June 13th for this one-day hybrid event (Austin and virtual), and be sure to attend our CTO and co-founder Chris Rossbach's presentation.
Katana Graph announced today that Katana Graph CEO and co-founder Keshav Pingali will be presenting with Intel Vice President & General Manager of AI and Analytics Wei Li at Intel Vision.
Historically, the financial services vertical has been one of the earliest adopters of sophisticate analytics techniques involving graph computing. Today, however, there’s a growing movement within finance to utilize many of these same graph AI techniques for a potentially transformative, revenue-generating application: assessing credit risk.
Join us at this three-day hybrid event (New York and virtual) occurring from May 2 to 6 and be sure to attend our presentations.
Keshav Pingali, CEO and co-founder at Katana Graph, believes that graph technology’s need is apparent – and will be even more so in the coming years.
Katana Graph's analytics library powers genomic analysis on Intel’s Next-Gen Xeon Scalable processor.
Katana Graph has developed a graph machine-learning based technique to solve twenty-two problems in the Therapeutics Data Commons’ molecular property predictions competition.
The basics of High-Performance Computing (HPC) are fairly well known by those acquainted with even a modest amount of computer science. Instead of relying on a single machine for computations, HPC approaches involve multiple machines, which produce two notable effects that directly benefit analytics.
Katana Graph Recognized on “Trend-Setting Products for 2022” list in Database Trends and Applications
Katana Graph announced today that its Graph Intelligence Platform made the list for Database Trends and Applications’ “Trend-Setting Products for 2022.” The list honors products, platforms, and services – from long-established offerings to early-stage, breakthrough technologies – that meet the needs of its users.
Katana Graph is excited to be included in 'Trend-Setting Products in Data and Information Management for 2022'.
Chris Rossbach, CTO at Katana Graph, discusses Graph AI in this informative article for AI Time Journal.
Longtime database and analytics guru Barry Zane is the most recent addition to Katana Graph, an Artificial Intelligence powered graph company based in Austin, Texas. As the company’s VP of Engineering, Zane will work closely with the Katana graph team on the graph query engine that’s arguably foundational to its leading edge graph intelligence platform.
Engineering Data Analytics and Graph Database pioneer joins rapid-growth graph intelligence company to accelerate the platform’s market adoption.
Katana Graph’s Abhishek Mehta and Hadi Ahmadi will both be speaking at the summit on “Graph Intelligence: Keep up with the Cybercrime Evolution around Remote Work and Cloud Transition” on December 9th.
Graph computing leader’s development of Python library and Metagraph plug-in expands opportunities for open core community and more impactful data insights.
Katana Graph, in collaboration with Intel, has released a high-performance graph analytics library for Python developers, complete with an extensible Python API and usage examples and benchmarks.
Data science has always been characterized by innovation and opportunity. How will 2022 embrace important trends in data science such as the convergence of supervised and unsupervised learning, and structuring unstructured data for newfound ease and accessibility?
Industry leaders, including Katana Graph's own John Rueter, head of marketing, and Keshav Pingali, CEO and co-founder, discuss how #AI enables search to surmount its basic keyword limitations to become a nuanced form of simplistic linguistic interactions and the utility provided by search itself.
Join Katana Graph online December 1-3, 2021 at Connected Data World and be sure to attend our CEO Keshav Pingali's talk "Knowledge Graphs, Graph AI, and the Need for High-performance Graph Computing" on December 3rd.
Katana Graph announced today that it will participate in the Intel Innovation conference taking place on October 27-28, 2021.
150 of the fastest-growing companies to accelerate your career. Discover the most innovative startups so far this year, and why working for them might just be your best job yet.
Computing on massive amounts of data takes time, energy and resources. To get the most out of the knowledge graphs, high performance computing is necessary, and scaling is a requirement for high performance computing.
Katana Graph announced today that senior software engineer Roshan Dathatri will participate in a featured presentation and panel at the AI & Big Data Expo.
The prestigious award is based entirely on what current employees say about their experience working at Katana Graph.
As the amount of data we generate grows, it requires more complex technology to be able to extract all the possible value from it. More and more of that data is unstructured and that makes it harder to interpret, but Katana Graph is using graph technology to identify relationships between entities which is modeled using a graph.
Katana is fusing graph technology with machine learning to build a platform for high-speed computing on massive graphs, using large clusters of computers.
In the twelve months since its launch the company has raised $28.5 million in a round led by Intel Capital and secured clients in the pharmaceutical, financial services, security and electronic design automation sectors.
Katana Graph announced today that Keshav Pingali, CEO and cofounder, will be a keynote speaker next week at the Knowledge Graph Conference.
Katana Graph seeks to take on those headaches of unstructured data on behalf of its clients, with technology designed to ingest large datasets and extract valuable insights.
Graph computing leader’s solution runs more than twice as fast on 3rd Gen Intel Xeon Scalable processors and Intel memory architecture; processes massive graphs within seconds on smaller clusters.
Katana Graph announced today that it has completed a $28.5 million Series A financing round led by Intel Capital with participation from existing and new investors.
Graph analytics is finding innovative applications in financial services, healthcare, pharmaceutical, telecom, and other industries.
Graph analytics is gaining favor for business applications in which insights must be derived from massive unstructured, connected datasets.
Katana Graph collaborating with Intel on enterprise-scale computing.