Tag: Trends

Feed: MemSQL Blog. Author: Rick Negrin. There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast ... Read More

Feed: Actian. Author: Sampa Choudhuri. Robotic process automation (RPA) is one of the fastest-growing trends in the IT industry.  This next-generation of workflow management capabilities is poised to be an essential enabler for companies seeking to optimize their digitally transformed business processes for peak efficiency.  For RPA vendors, one of the critical capabilities that must be developed in your solution is the integration capabilities with a wide variety of third-party systems and data sources.Integration is a must-have feature for RPA solutions When customers are implementing RPA solutions, they are often doing so alongside the deployment of things like IoT devices, ... Read More

Feed: SAS Blogs. Author: Claudio Broggio. AI innovations range from unique modelling techniques and computer vision efforts to medical diagnostic tools and self-driving cars. Within that wide range of technology, what should you consider patenting? Which of your discoveries are true intellectual property that necessitate protection? A little thought upfront could help you to know what action to take to protect your most valuable innovations. Intellectual property, machine learning and generative adversarial networks Intellectual property and AI Do not doubt that plenty of people are already protecting their artificial intelligence inventions. Since the 1960s, over 300,000 applications for AI-related patents ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Roman Chuprina. Machine Learning is a term heard around the world these days. Industries like Retail, Healthcare, and Manufacturing are taking the best out of it. So does the leaders in Banking and Finance. There is enough time and room before the technology will truly explode. However, we can still talk about some real-world use cases and ways your business can benefit. AI and ML in financial services Machine learning in finance is rapidly developing – there are already dozens of options for its use in the financial sector. So why ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; PuppetConf 2017 is fast approaching, and we have some exciting updates to share. Block out your calendar for 10–12 October in San Francisco, and register by 10 August to receive the 20 percent discount for early birds. IT Leader trackPuppetConf offers awesome keynotes, sessions (and so much more!) for practitioners — but don’t forget to invite the IT leaders in your organization. For the third consecutive year, PuppetConf will feature an IT Leader track focused on emerging trends in IT, plus real-world stories of digital transformation, the future of DevOps, security and compliance, ... Read More

Feed: Puppet.com Blog RSS Feed. Author: ; After weeks of thoughtfully reviewing talk proposals with the rest of our PuppetConf talk committee, I'm thrilled to announce our first round of speakers and the initial agenda for PuppetConf 2017. This year, we're hosting PuppetConf from 10-12 October in beautiful San Francisco, California. I hope I'll see you there! If you haven't been to PuppetConf before, here's what's in store. We bring the Puppet community together for two-plus days of amazing collaboration and hands-on learning. Our lineup of talks, sessions, demos and informal networking all help our community members learn how to ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Igor Bobriakov. Data Science methods and techniques allow new approaching the solution of complex tasks in terms of mathematics, and statistics for the various aspects and areas of our life, work, and business. Therefore, this makes it possible to produce the most unobvious results. Humans-based decision tasks are not an exception. This article focuses on using Data Science and Machine Learning techniques for HR tasks. It is one of the topical problems of a good HR manager to be well familiar with modern smart tools helping to manage large data flows ... Read More

Feed: Microsoft Azure Blog. Author: James Ding. Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries. Anomaly detection is about finding patterns in data that do not conform to expected behavior. It is important for decision-makers to be able to detect them and take proactive actions if needed. Using the oil and gas industry as one example, deep-water rigs with various equipment are intensively monitored by hundreds ... Read More

Feed: AWS Compute Blog. Author: Rob Sutter. Welcome to the eighth edition of the AWS Serverless ICYMI (in case you missed it) quarterly recap. Every quarter, we share the most recent product launches, feature enhancements, blog posts, webinars, Twitch live streams, and other interesting things that you might have missed!In case you missed our last ICYMI, checkout what happened last quarter here. AWS re:Invent re:Invent 2019 dominated the fourth quarter at AWS. The serverless team presented a number of talks, workshops, and builder sessions to help customers increase their skills and deliver value more rapidly to their own customers. Serverless ... Read More

Feed: SAS Blogs. Author: Andrew Christian. Using Customer Lifetime Value in your business decision making is often important and crucial for success. Businesses that are customer-centric often spend thousands of dollars acquiring new customers, “on-boarding” new customers, and retaining those customers. If your business margins are thin, then it can often be months or quarters before you start to turn a profit on a particular customer. Additionally, some business models will segment the worth of their customers into categories that will often give different levels of service to the more “higher worth” customers. The metric most often used for that ... Read More