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Published By: Wasabi     Published Date: Oct 20, 2017
The Kim Komando Show, the largest weekend radio show in the United States, with an estimated reach of 6.5 million listeners, uses Wasabi hot storage for costeffective, fast and reliable data protection for its business-critical multimedia content. Wasabi’s cloud storage service extends the broadcaster’s on premises networkattached storage (NAS) investments and eliminates the hassles and inefficiencies of tape-based data backup and recovery solutions.
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wasabi, data protection, multimedia, recovery solutions, disaster recovery
    
Wasabi
Published By: SAS     Published Date: Oct 18, 2017
Compliance doesn’t have to be a scary word – even when facing the multifaceted challenges of meeting the European Union’s May 2018 deadline for its General Data Protection Regulation (GDPR). SAS conducted a global GDPR survey among 340 business executives from multiple industries. Based on the results of that survey, this e-book delves into the biggest opportunities and challenges organizations face on the road to GDPR compliance. Read this e-book to learn: How to get started on the best path to compliance, based on advice from industry experts. How to turn this compliance challenge into a competitive advantage. How your peers are preparing across a variety of industries. An end-to-end approach that can help guide your journey to GDPR compliance.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Are you thinking about adding artificial intelligence to your organization? It’s certainly a hot topic and worth the attention. This paper outlines the SAS approach to AI and explains key concepts. It also provides process and implementation tips if you are considering adding AI technologies to your business and analytical strategies.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
This Harvard Business Review Insight Center report is a compilation of 26 short stories -- only a page each -- from industry experts and thought leaders versed on the promises and challenges of big data.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications such as driverless cars. This paper, based on presentations by SAS Data Scientist Wayne Thompson, introduces key machine learning concepts and describes SAS solutions that enable data scientists and other analytical professionals to perform machine learning at scale. It tells how a SAS customer is using digital images and machine learning techniques to reduce defects in the semiconductor manufacturing process.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
What management and leadership challenges will the next wave of analytic technology bring? This Insight Center on HBR.org went beyond the buzz of what artificial intelligence can do, to talk about how it will change companies and the way we manage them.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
What management and leadership challenges will the next wave of analytic technology bring? This SAS-sponsored Harvard Business Review Insight Center on HBR.org went beyond the buzz of what machine learning can do, to talk about how it will change companies and the way we manage them. Articles include: How to Make Your Company Machine Learning Ready, by James Hodson Machine Learning Is No Longer Just for Experts, by Josh Schwartz Teaching an Algorithm to Understand Right and Wrong, by Greg Satell The Simple Economics of Machine Intelligence, by Ajay Agrawal, Joshua Gans, and Avi Goldfarb Robots and Automation May Not Take Your Desk Job After All, by Dan Finnigan How to Tell If Machine Learning Can Solve Your Business Problem, by Anastassia Fedyk
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SAS
Published By: SAS     Published Date: Oct 18, 2017
With all of the attention on machine learning, many are seeking a better understanding of this hot topic and the benefits that it could provide to their organizations. Machine learning – as well as deep learning, natural language processing and cognitive computing – are driving innovations in identifying images, personalizing marketing campaigns, genomics, and navigating the self-driving car. This e-book provides a primer on these innovative techniques as well as 10 best practices and a checklist for machine learning readiness.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
This A-to-Z guide includes 101 common terms related to the Internet of Things. It’s not an exhaustive list, given that the IoT and big data are evolving so quickly, but rather a quick go-to resource for the technically savvy data professional who wants to get a handle on this vast IoT and big data ecosystem. This guide for the “non-geek” does include some technical terms, but they are explained sans technical “geek speak.” We also provide context to how a term may be connected to a larger discussion by grouping terms by category.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
With the support of SAS, the Internet of Things Institute developed the 2017 Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics. This selective sample of IoT users offers valuable insights to both IoT innovators and organizations still waiting to see how the technology evolves before investing. Multiple business layers and functions have input into IoT decision making. Discover which layer was most critical to success for those organizations that have achieved the highest percentage of their targeted ROI. Learn about the main drivers of success for IoT users achieving higher returns. Lastly, the results highlight six primary factors that can undermine an IoT initiative and how they can be prevented.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Organizations need to accelerate the pace with which they realize business value from data. The focus is on improving “time to value,” which is the length of time it takes from the beginning of a project to the delivery of anticipated business value. This TDWI Best Practices Report focuses on realizing value from BI and analytics and how organizations can accelerate the path to higher value. The report looks at multiple factors impacting the ability of organizations to quickly derive greater value from data and analytics, including the organizational issues, practices, and development methods that are often just as important as keeping pace with technological innovation.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Financial organizations are deploying artificial intelligence and machine learning in the fight against financial crimes. David Stewart, Director of Pre-Sales for the Global Security Intelligence Practice at SAS, offers tips to help separate fact from market hype when reviewing new data analytics tools. You’ll learn about: • The new industry intrigue with artificial intelligence and machine learning. • How these emerging solutions can benefit financial institutions. • The SAS approach of “crawl, walk, run” when it comes to adopting new analytics tools.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
With enhanced regulatory pressure, banks must continuously evaluate their risks. To meet these demands, the AML industry has turned to analytical/statistical methodologies to reduce false-positive alerts, increase monitoring coverage and reduce the rapidly escalating financial cost of maintaining their AML programs. An effective AML transaction monitoring strategy includes segmenting the customer base by analyzing customer activity and risk characteristics in order to monitor them more effectively. This paper explains how to blend both quantitative and qualitative methods to tune scenarios to identify the activity that poses the most risk to the bank.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Health insurers have long been plagued by issues of fraud, waste, abuse, error and corruption. Taking an enterprise approach to payment integrity – one that combines advanced data management and sophisticated analytics – can help payers detect and prevent fraud; effect positive change in how providers, employees and patients behave; and substantially reduce health care costs. Payers can achieve better outcomes when software support for the core disciplines of payment integrity run on a single platform.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
Procurement fraud affects nearly one-third of organizations, and it is often perpetrated by the most trusted, longtime employees, the ones you’d least suspect. Learn from three white-collar crime specialists about common flavors of procurement fraud, striking examples from recent headlines, four fundamental ways to get better at detecting and preventing fraud, and how to take procurement integrity to the next level.
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SAS
Published By: SAS     Published Date: Oct 18, 2017
How much are fraud, error, waste and abuse costing your organization? Costs to insurers are huge – as much as 25 percent of payments made. But data management and analytics can save the day. This paper discusses how data can be used to predict and detect loss in all its forms.
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SAS
Published By: Carbonite     Published Date: Oct 12, 2017
Testing full recoveries of IT environments requires a proven methodology. Establishing and meeting RTOs, configuring a cloud recovery system, and tracking your changing environment are all critical components of a successful cloud recovery operation. In this expert Technical Guide, learn how Jamie Evans, Senior Manager of Disaster Recovery as a Service (DRaaS) for EVault, helps clients complete a full recovery of their systems.
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cloud, recovery, vlan, data center, draas
    
Carbonite
Published By: Carbonite     Published Date: Oct 12, 2017
Carbonite provides data protection solutions for businesses and the IT professionals who serve them. Our product suite provides a full complement of backup, disaster recovery, and high availability solutions for any size business in any location around the world, all supported by a state-of-the-art global infrastructure.
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draas, data recovery, recovery capability, cloud support, infrastructure
    
Carbonite
Published By: Carbonite     Published Date: Oct 12, 2017
There are five essential pieces to a sound backup and disaster recovery (BDR) plan, and IT pros who follow these steps are able to feel confident in their long-term organizational plan. Read this expert guide from Ben Maas, an independent consultant and system architect who has guided many companies through BDR deployments, to learn these five fundamentals. Understand how to size your environment, evaluate your BDR capabilities, and test your system for any surprises.
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bdr, recovery capabilities, backup data repositories, data center, over - the - wire, remote
    
Carbonite
Published By: Spectrum Enterprise     Published Date: Oct 05, 2017
Most businesses have experienced an IT or technology outage in the past five years. Outages and disruptions result in business and IT challenges. Business continuity and disaster recovery (BCDR) plans ensure a company's ability to continue business uninterrupted and survive unforeseen disruptions. By adopting network diversity, IT pros expect to experience a variety of business and IT benefits, including protection against unexpected disruptions. Check out this easy-to-absorb infographic, based on Forrester survey data, to learn how your peers view the importance and structure of BCDR strategies.
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Spectrum Enterprise
Published By: Spectrum Enterprise     Published Date: Oct 05, 2017
Regardless of the industry, your customers are digital and always on; your business should be, too. As such, today's forward-thinking business has increased its use of digital channels and ecosystems to engage with and serve its customers. To do so, a well-crafted business continuity / disaster recovery (BCDR) plan can ensure a company's ability to keep its business uninterrupted and maintain its survival, despite unforeseen disruptions. Read this Forrester technology adoption profile to learn the mission-critical nature of and how to maintain an always-on business presence.
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Spectrum Enterprise
Published By: Druva     Published Date: Sep 27, 2017
The public cloud’s reliability, security, and scalability offers the transformational potential to move disparate workloads to a single cloud platform for greater efficiency and agility. Discover 20 real-world benefits gained when moving backup, archival and disaster recovery to a single, native cloud platform.
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backup recovery, disaster recovery, public cloud, security cloud, native cloud
    
Druva
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