Tag: Enterprise

Feed: IBM Big Data & Analytics Hub - All Content; Author: julianna-delua; So far, 2019 has been an exciting year for the evolution and adoption of artificial intelligence (AI) as more businesses are tapping into it as a technology-enabled business strategy. According to PwC 2019 AI Predictions, monetization of AI is projected to address key enterprise performance levers: growing revenue and increasing profits (48 percent of survey respondents), creating better customer experiences (46 percent), improving decision making (40 percent), innovating products (39 percent) and achieving cost savings (38 percent).Recently, IBM debuted AutoAI, a new capability of Watson Studio that automates ... Read More

Feed: Planet PostgreSQL. Recently I gave a "deep dive" talk on the topic of PostgreSQL security, and I wanted to capture one part of that content into a blog since this format is both better for making that content stand on its own and for expanding on it a bit.Specifically, in this two-part blog, we will cover a PostgreSQL extension that I wrote called crunchy_check_access -- the motivation behind it and what it does -- and then use that extension to probe and understand the consequences of the default, out of the box, security of PostgreSQL. We will also examine ... Read More

Feed: All Oracle Press Releases. Today, Oracle unveiled a new, customer-centric vision for Oracle Analytics at the company’s Analytics Summit. With Oracle’s industry-leading data platform and business applications, Oracle Analytics is uniquely positioned to marry data, analytics and applications, and address the needs of business users, analysts and IT. Oracle Analytics empowers customers with industry-leading AI-powered self-service analytic capabilities for data preparation, visualization, enterprise reporting, augmented analysis, and natural language processing (NLP).  Key Highlights One Offering: Oracle Analytics. Simplified product offering and clarity of direction by rationalizing 18+ products down to a single brand. Powered by the Autonomous Data Warehouse ... Read More

Feed: All Oracle Press Releases. Proximus, a leading international communications service provider, has chosen Oracle Communications virtualized Oracle Session Border Controller as a core network component to enable the delivery of its residential and enterprise communications cloud-based solutions for voice. As such, Proximus will be able to deploy its internet communications offerings faster, while decreasing operational expenses and increasing services flexibility. Oracle’s virtualized SBC platform will be running on Proximus’ telco cloud and used for residential VoIP and SIP trunking for enterprise customers. This will enable them to deliver trusted and first-class, real-time communications services across the Internet. The virtualization ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Lance Walter, CMO, Neo4j | June 13, 2019Reading time: 4 minutes “These guys are killing it!”Back in 2013, I was contacted by my friend Randy who’s a long-time Bay Area tech recruiter. He was looking for sales and marketing referrals for a company called MapR. He really couldn’t have been more enthusiastic. “I haven’t seen one like this in 20 years,” he said. “They have so much interest, they literally can’t keep up with it. They’re adding sales people as fast as they can, and every salesperson they have made their ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By David Allen, Technology Partner Architect, Neo4j | June 10, 2019Reading time: 3 minutes Google Kubernetes Engine (GKE) is a hosted, managed version of Kubernetes. As such, it is a great environment for developers to start experimenting with the many use cases for Neo4j. Neo4j is available through the Google Cloud Platform Marketplace, so developers familiar with Kubernetes can have Neo4j running in minutes. In this series, we will explore the power of containers and Kubernetes in combination with Neo4j. This week we’ll provide some background about Kubernetes and Neoj.Power of Containers ... Read More

Feed: Neo4j Graph Database Platform. Author: Bryce Merkl Sasaki. By Anurag Tandon, Director Product Management, End-User Applications | June 6, 2019Reading time: 3 minutes We are thrilled to announce that Neo4j Bloom 1.1 is now available. A graph data visualization of crime communications and their connections. In case you missed the initial release announcement last year, Neo4j Bloom is a graph visualization tool to help project teams explore and understand their Neo4j graph. Bloom offers a codeless, natural language interface where users inspect, navigate and understand their graph data.Bloom is ideal for non-technical and expert team members alike, and now ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Jocelyn Hoppa, Managing Editor, Neo4j | May 31, 2019Reading time: 2 minutes “Graph databases are the natural solution to the problems we face in compliance,” said Julian Schibberges, Managing Director of the Bernstein Group.Tough compliance problems require a look not just at particular people or businesses but at the larger network around them. Consulting with KERBEROS Compliance, Julian Schibberges has seen first hand that a suspicion that something is shady can be verified once you see the larger graph of connections.In this week’s five-minute interview (conducted at GraphConnect 2018 in NYC), ... Read More

Feed: Neo4j Graph Database Platform. Author: Jocelyn Hoppa. By Pat Patterson, Director of Evangelism, StreamSets | May 29, 2019Reading time: 7 minutes Editor’s Note: This presentation was given by Pat Patterson at GraphConnect New York in September 2018.Presentation SummaryIn the following presentation, we’ll review how the company StreamSets ingests data into Neo4j for master data management. Streamsets was founded in 2014 to address the growing need for a data integration tool that could handle streaming and big data, and today have more than two million downloads worldwide. The core problem most enterprises face is that data is spread out across ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Business doesn’t want AI.  Business wants results.  While we were focused inward on our Advanced Analytic Platforms, smart competitors were rolling up AI/ML with other capabilities into “Intelligent Automation” platforms.  This large scale integration of capabilities of which AI/ML is only a part looks a lot like the development of ERPs in the late 90s. Business doesn’t want AI.  Business wants results: increased revenue, increased margin, and decreased cost.  If you’re part of the AI/ML community it’s easy to get wrapped up in how AI/ML can have these ... Read More