Tag: Artificial intelligence

Feed: IBM Big Data & Analytics Hub - All Content; Author: holly-vatter; Big data doesn’t need to be a daunting challenge for small or midsized business (SMBs). Accessing, storing and exploring big data can be done by businesses of any size. An influx of data from sensors, streaming audio and video log files, web, and social media are increasing the volume, velocity, and variety of data. But that means there are new opportunities for well-prepared SMBs to uncover insights and unlock value.Harnessing big data – data sets of a size or type is beyond the ability of traditional relational databases ... Read More

Feed: Cloud Data Transformation Software | Matillion. Author: Damian Chan, Solution Engineer; Damian Chan, Solution EngineerIndustry experts, competitors, and even your customers are talking about machine learning and artificial intelligence. The terms, while used widely and interchangeably, are often misunderstood and carry a narrow definition. Both machine learning and artificial intelligence have distinct and practical applications for your business – not only driverless cars!Machine learning is the process of building and training models to process data. In this capacity, your models are learning from your data to make better predictions. Artificial intelligence, consequently, uses these learnings to make a computer ... Read More

Feed: SAS Blogs. Author: Christian Engel. If a bank gets in touch with a software company and wants to know how it could use artificial intelligence (AI), that means two things. First, the bank is willing to consider AI, and second, that it really does not know much about the subject. Banks want AI, and they have the necessary budget. However, they do not necessarily know what they actually want to do. This is the big question that is currently exercising the banking industry: We know AI can help us, but how?  I think the answer may be simpler than ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. As technology makes it easier to connect with constituents, state and local governments are looking to build systems centered around and empowered by the citizen experience. This is especially the case with health and social services agencies.Public health systems often struggle to connect data across agencies and systems—leaving some communities without the insights they need to optimally allocate resources or to take action in the face of emerging epidemics. In a keynote address to over 800 government health IT leaders, Taha Kass-Hout, senior leader of healthcare and artificial intelligence at Amazon ... Read More

Feed: SAS Blogs. Author: Marcin Nadolny. Anti-money laundering has been an issue for banks and financial institutions for some time. Transaction monitoring systems have been around for many years. Meeting and complying with regulations at the regional or national level, however, remains a challenge. Many financial institutions are almost playing catch-up with regulators, as anti-money laundering regulations change and develop. This just-in-time compliance poses its own risks, as well as being stressful for the institutions concerned.  At the same time, fraudsters and criminals are not standing still. Money laundering techniques are becoming increasingly sophisticated. It is perhaps inevitable that fraudsters ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Today is the first-ever Global Graph Celebration Day! Graph enthusiasts all over the globe are honoring the birthday of Leonhard Euler, the inventor of graph theory, with 60+ events worldwide. As part of today’s graph-inspired festivities commemorating Euler, we have an exciting announcement to share with you.We’re thrilled to announce the availability of the O’Reilly book Graph Algorithms: Practical Examples in Apache Spark & Neo4j – a practical guide to help you get the most out of graph analytics.Until recently, adopting graph analytics required significant expertise and determination – tools and integrations ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: wennie-allen; I am working on a project that requires a lot of research on how people are using artificial intelligence (AI) and machine learning (ML) in real-world business cases. While AI and ML are two of the hottest trends in technology, they don’t seem to be proliferating as widely or as quickly as we would expect.In fact, according to an Economist Intelligence Unit survey, 70 percent of business executives rated analytics as “very” or “extremely important.” But just 2 percent say they have already achieved “broad positive results.” There ... Read More

Feed: SAS Blogs. Author: Giada Scalpelli. Which topics and priorities will be the focus for chief risk officers in 2019? A range of experts and representatives of major banking institutions addressed these questions at a recent event, CRO and CFO Banking Agenda 2019, organised by CeTIF, the Research Center on Technologies, Innovation and Financial Services, in collaboration with SAS. There was no shortage of candidates for key topics for 2019. Risk officers in banks and financial institutions have a number of things on their plates: joint development of the risk and finance roles, risk analytics, digital transformation of credit processes, machine ... Read More

Feed: SAS Blogs. Author: John Balla. At the risk of oversimplifying, I think of artificial intelligence as what becomes possible after you’ve fully embraced analytics and you’re starting to get bolder about how to use it. Your models are getting better, your predictions are more accurate, your results are stronger and over all, confidence grows in the decisions that are being made with the analytic models you’ve built. And model building is rarely once-and-done. It’s iterative like any other scientific or mathematical process. It starts with a hypothesis, or a business need. Then you develop and apply a construct, you ... Read More

Feed: All - O'Reilly Media. Author: Mike Loukides. San Francisco (source: O'Reilly) Visit the O'Reilly online learning platform for presentations from the Strata Data Conference in San Francisco 2019. The Strata Data Conference in San Francisco was filled with speakers talking about opportunity. But those opportunities were balanced against risks—risks that loom large as we discover more powerful ways to apply data using machine learning and artificial intelligence. It's a necessary tension we'll need to understand as we continue on the journey into the age of data. Cloudera's merger with HortonWorks demonstrates some of the opportunities. They "drank their own ... Read More