Tag: Artificial intelligence

Feed: SAS Blogs. Author: Michael Rabin. Some say that the insurance industry is a long, quiet river on which stately steamships cruise. Others say it is a shark tank where only the strongest survive. Which is right?  The answer is both. The insurance market is clearly mature, with a limited scope of action for individual players. There is, however, no question that merciless predatory competition is taking place, probably precisely because of this saturation. It is the perfect recipe for a ruinous price war, even though this is something that insurers really cannot afford in the long term. There is ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: publicsector. Amazon Web Services (AWS) and the British Heart Foundation (BHF) hosted a hackathon on January 22nd and February 5th. The hackathon provided AWS technologists and AWS Partner Network (APN) Partners with a collaborative opportunity to contribute to the greater good, innovating to solve some of the challenges the charity currently faces with its operations and objectives. Like many charities, the BHF is entirely reliant on the public’s generosity to fund its lifesaving research and receives no government funding.  With around seven million people in the UK living with heart and circulatory ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Marshall Lincoln. This is the first article in what will be a three-part series:  "How to make your mark on the world as a talented, socially conscious data scientist." In this article, we discuss how a socially-conscious data scientist might choose a domain to make the greatest impact. The next article will focus on how to maximize the impact you can make at your organization once you’ve chosen your path. In the final post, we will finish the series with a discussion around why the best data scientists are world class ... Read More

Feed: Databasejournal.com - Feature Database Articles. Author: . In September 2018, IBM announced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors data access patterns from executing SQL statements, uses machine learning algorithms to decide on optimal patterns and passes this information to the Db2 query optimizer for use by subsequent statements. Machine Learning on the IBM z Platform In May of 2018, IBM announced version 1.2 of its Machine Learning for z/OS (MLz) product. This is a hybrid zServer and cloud software suite that ingests performance data, analyzes and builds models that represent the health ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups.This blog series is designed to help you better utilize graph analytics and graph algorithms so you can effectively innovate and develop intelligent solutions faster using a graph database like Neo4j.Last week we wrapped up our look at Centrality algorithms, with our look at the Closeness Centrality algorithm.This week we begin our exploration of Community Detection ... Read More

Feed: Big Data Made Simple. Author: Vinati Kamani. The field of software testing has progressed from predominantly manual testing to incorporation of automation testing. The competitive market scenario and increasing technical complexity have encouraged that software development, testing, and deployment take place at breakneck speeds. The need to develop at a faster pace and test in a smarter way is increasing every day.While the current practices of Agile, Continuous Testing and DevOps are keeping the software development process at pace, unlocking the true potential can only happen by leveraging the power of Artificial Intelligence in software testing.The job of a ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Bill Schmarzo. There are several technology and business forces in-play that are going to derive and drive new sources of customer, product and operational value. As a set up for this blog on the Economic Value of Data Science, let’s review some of those driving forces. Artificial Intelligence holds the economic potential to drastic drive industry and business model disruptions. But having AI technologies is not sufficient, especially when most AI technologies are open source and readily available to everyone. Data is the source of economic potential, and the Data Lake is ... Read More

Feed: SAS Blogs. Author: Andreas Becks. When we talk about artificial intelligence (AI) and ethics, we are not referring primarily to dystopian applications in which an autonomous robot stubbornly makes decisions about life and death without human control in Terminator fashion. Of course, this does not mean that a critical discourse, for example, on autonomous weapons, is not urgently needed, which the Slaughterbots video by the Future of Life Institute and the renowned Berkeley professor Stuart Russell impressively demonstrated. But we don't have to go that far. Today's AI applications can have a significant impact on consumers, raising governance and ... Read More

Feed: SAS Blogs. Author: Mary Beth Moore. Every day, military intelligence analysts sit behind computers reading a never-ending stream of reports, updating presentation templates and writing assessments. But intelligence is more than documenting events and sharing breaking news. It involves understanding and predicting complexities in human behavior across various organizational constructs and using facets of information to make assessments on past, current and future circumstances. The availability of both human and technological resources has a large affect on the quality of these assessments. For the past two decades, technology has advanced at an incredible rate. Yet the technology available to ... Read More

Feed: Big Data Made Simple. Author: Baiju NT. A new global study finds that while the use of artificial intelligence (AI) is low today, it is expected to create increased revenue, productivity, profitability and shareholder value for businesses within two years.Overall, only 16 percent of business leaders surveyed perceive they are currently garnering significant value from advanced AI. However, AI programs are being fast-tracked and that number is expected to more than triple to 52 percent within the next two years.This is according to a new report, “Competing in the Cognitive Age: How companies will transform their businesses and drive ... Read More