Tag: AI

Feed: AWS Partner Network (APN) Blog. Author: Eliane Eisenring. By Eliane Eisenring, Communication Manager – Trivadis – Part of AccentureBy Simon R. Böhmer, Associate Cloud Application Architect – AWSBy Markus Winterholer, Delivery Practice Manager – AWS Trivadis Artificial intelligence (AI) is among the most disruptive technologies of our generation. Whether it’s used to drive innovation, reduce operational costs, increase efficiency, or improve customer experience—AI has completely changed the way business is made. Thus, it comes as no surprise that companies increasingly seek to make use of this technology. In “The state of AI in 2021” study by McKinsey & Company, ... Read More

Feed: Microsoft Azure Blog. Author: Sarah Bird. A core priority for the Cognitive Services team is to ensure its AI technology, including facial recognition, is developed and used responsibly. While we have adopted six essential principles to guide our work in AI more broadly, we recognized early on that the unique risks and opportunities posed by facial recognition technology necessitate its own set of guiding principles. To strengthen our commitment to these principles and set up a stronger foundation for the future, Microsoft is announcing meaningful updates to its Responsible AI Standard, the internal playbook that guides our AI product ... Read More

Feed: SAS Blogs. Author: Emily Johnson. Rainforests are a vital part of the climate and life on our planet. Rainforests are known as ‘the lungs of the Earth’ because they produce 20% of the world’s oxygen. Because of this, conservation efforts are more important than ever. By combining the power of AI and analytics technologies with partners like the IIASA and the Amazon Conservancy, identifying and tracking deforestation can happen more quickly and with greater accuracy to expedite intervention and drive much-needed change. Humans and AI are the ultimate duo In 2020, SAS partnered with the International Institute of Applied ... Read More

Feed: Crayon Data. Author: Sruthi Ravishankar. The way humans communicate is in bite sized pieces. So-Young Kang believes that we’ve been practicing micro learning for 1000s of years now.  Our most recent guest on Slaves to the Algo says, “It’s the neuroscience of learning. There’s the behavior design component of it. But there are decades of research around how humans learn and maximize our potential. And it’s not through long form one way communication.”  So-Young is a pioneer and serial entrepreneur constantly looking at new ways of solving big challenges. Her latest challenge is focused on how to maximize human potential ... Read More

Feed: Neo4j Graph Data Platform. Author: Yolande Poirier. Back in January, we previewed Neo4j AuraDS and Google Cloud Vertex AI’s partnership and demonstrated how you can build and deploy graph-based machine learning models. AuraDS is graph data science as a service now running as a managed service on top of GCP. With the Neo4j Graph Data Science platform, you can easily use graph structure to compute algorithms or create embeddings and increase the accuracy and reliability of machine learning pipelines. The worked example from the blog stores data in AuraDS, and computes graph embeddings with FastRP to feed into the ... Read More

Feed: Neo4j Graph Data Platform. Author: Angela Zimmerman. In January, we previewed Neo4j’s and Google Cloud Vertex AI’s partnership in a blog about how you can use graphs for smarter AI when using Neo4j AuraDS to generate graph embeddings.That blog post garnered a lot of attention from data scientists looking to amplify their machine learning (ML) pipelines by feeding knowledge (graph features) of the graph to enhance the ML model’s predictability.Since then, Neo4j released a new 2.0 version of the Neo4j Graph Data Science Platform. This makes it incredibly simple to get started on Google Cloud with the general availability ... Read More

Feed: Journey to AI Blog; Author: Heather Gentile; The use of artificial intelligence (AI) is now commonplace throughout society. The adoption of AI is driven by its utility and the improvements in efficiency it creates. Every day, most of us rely on AI for tasks like autocompleting our text messages, navigating our route to a new location, and recommending what movie to watch next. Beyond these common uses of AI, there are also uses that regulators are beginning to identify as areas where there may be a higher risk. These higher-risk areas can include uses of AI in employment, financial, ... Read More

Feed: R-bloggers. Author: The Jumping Rivers Blog. If you came here looking for an introduction to water, or a synopsis of the 2003 TV series about teenage mermaids you have sadly come to the wrong place. The H2O that we will talk about is H2O.ai, a company which develops products for easy, scalable, machine learning and artificial intelligence. Introduction Machine learning and artificial intelligence (or AI for short) are topics which have had a lot of interest over the past 4-5 years. Some of this interest has come from businesses as they begin to utilise the information they collect on ... Read More

Feed: Journey to AI Blog; Author: Anil Shankar; Artificial intelligence is being infused slowly but surely into all aspects of our lives, and it will be ubiquitous in everyday life sooner than we might imagine. Governments and regulatory bodies around the world are working to establish safety standards. In the U.S., the Consumer Finance Protection Bureau (CFPB) recently outlined options to prevent algorithmic bias in home valuations for mortgage lenders. The proposed rules aim to govern automated valuation models to protect borrowers. In October 2021, the White House Office of Science and Technology Policy announced, “Americans Need a Bill of ... Read More

Feed: Alation. Author: Neil Raden. June 2, 2022 — In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. In part two of this series, I’ll dive more deeply into AI/ML and data lineage, in the cloud and otherwise, and discuss how data governance and security can support these critical use cases, wherever they reside. Governing and Tracking ML/AI: The Rise of XAI Organizations have attempted to manage the data they use for analytics ... Read More