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The online space continues to grow rapidly, opening more opportunities for cyberattacks to occur within a computer system, network, or web application. To mitigate and prepare for such risks, penetration testing is a necessary step in finding security vulnerabilities that an attacker might use. What is penetration testing? A penetration test, or “pen test,” is …
Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Building proofs of concept is relatively straightforward because cutting-edge foundation models are available from specialized providers through a simple API call. Therefore, organizations of various sizes …
Field operations can be one of the most complex aspects of a telecommunications business. Whether it’s because of process inefficiencies, inaccurate information, lack of proper equipment, or inexperience with an underlying issue, telco field service technicians often face delays when dealing with customer issues, forcing them to seek help from senior technical professionals. As a …
Read more “Multimodal gen AI models automate telecom field ops and enhance customer experience”
IBM works with our insurance clients through different fronts, and data from the IBM Institute for Business Value (IBV) identified three key imperatives that guide insurer management decisions: Adopt digital transformation to enable insurers to deliver new products, to drive revenue growth and improve customer experience. Improve core productivity (business and IT) while reducing cost. …
Posted by Ameya Velingker, Research Scientist, Google Research, and Balaji Venkatachalam, Software Engineer, Google Graphs, in which objects and their relations are represented as nodes (or vertices) and edges (or links) between pairs of nodes, are ubiquitous in computing and machine learning (ML). For example, social networks, road networks, and molecular structure and interactions are …
Read more “Exphormer: Scaling transformers for graph-structured data”
In today’s data-driven world, the ability to leverage real-time data for machine learning applications is a game-changer. Two key players in this field, Striim and Google Cloud with BigQuery, offer a powerful combination to make this possible. Striim serves as a real-time data integration platform that seamlessly and continuously moves data from diverse sources to …
Read more “Real-time data processing for machine learning with Striim and BigQuery”
Mark Swinnerton aims to fight climate change by transforming abandoned mines into storage tanks of renewable energy. The CEO of startup Green Gravity is prototyping his ambitious vision in a warehouse 60 miles south of Sydney, Australia, and simulating it in NVIDIA Omniverse, a platform for building 3D workflows and applications. The concept requires some …
Read more “Buried Treasure: Startup Mines Clean Energy’s Prospects With Digital Twins”
This paper was accepted at the workshop on Regulatable ML at NeurIPS 2023. Conformal Prediction (CP) is a method of estimating risk or uncertainty when using Machine Learning to help abide by common Risk Management regulations often seen in fields like healthcare and finance. CP for regression can be challenging, especially when the output distribution …
by Peter Wilczynski, Product Lead for the Ontology System “Show me the incentive and I’ll show you the outcome” — Charlie Munger I. As an industry, we are producing more software at an ever-increasing rate and yet the impact of this software on economic productivity has been marginal. This lack of progress is inherent to how the software industry …
The General Data Protection Regulation (GDPR) is a European Union (EU) law that governs how organizations collect and use personal data. Any company operating in the EU or handling EU residents’ data must adhere to GDPR requirements. However, GDPR compliance is not necessarily a straightforward matter. The law outlines a set of data privacy rights …