Download Vormetric’s Annual Data Threat Report, featuring key insights from 451 Research, to learn more about the latest trends in data encryption and data security and how your business can best protect its most vital asset: it’s data.
Published By: Dell EMC
Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
Published By: Websense
Published Date: Apr 09, 2013
This report focuses on significant changes in the global threatscape during the year, offering insights from several perspectives. Our goal is to help security professionals improve
the effectiveness of existing security solutions, and identify and prioritize security gaps that may require new approaches and more innovative strategies.
While Windows 7 and Windows XP continue to dominate the market, Windows 8 adoption has been fairly slow, especially in the enterprise. The end of support for Windows XP now creates a season of needed change. Prepare now to address both the challenges and opportunities of this wave of OS migrations by downloading this IT handbook. Read it for insights into planning and preparation, hardware and software compatibility considerations, as well as end user training and implementation.
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
In a panel discussion at the 12th annual SAS Health Analytics
Executive Forum in May 2015, leaders from Dignity Health,
Horizon Blue Cross Blue Shield of New Jersey, Janssen
Pharmaceuticals and SAS shared what they have done to prove
the value of analytics to their business leaders – and what has
worked for them as they developed an analytic culture in their
organizations and put analytic insights to work.
Technology leaders need to rethink strategic
planning in the age of the customer. Technology
strategies are too often just collections of loosely
related project plans and too focused on tech
project delivery milestones. Strategies designed
“by IT, for IT” fail to engage business leaders and
executives because they don’t explain how tech
strategy leads to better customer experience and
outcomes. This report explains how technology
leaders can create a strategic tech plan that is
customer-led, insights-driven, fast, and connected.
Published By: Dell EMC
Published Date: May 09, 2018
Millennials are reshaping the world of work through their knowledge of new technologies, work habits, and attitudes of the 21st-century workplace. At the same time, IT departments are working to add flexibility to the way they are supporting the Millennial worker. Yet it’s not just about IT providing the right tools and devices to its employees so they can get their jobs done effectively; IT needs to offer an overall workplace ecosystem that is secure and innovative. In September 2016, Dell commissioned Forrester Consulting to conduct a study with 560 information workers across all industries in Australia, India, the UK, and the US. Learn more about the working habits that emerged and how IT departments can apply these insights to future deployments. Download Report!
Intel Inside®. Powerful Productivity Outside.
Intel® Xeon® processor
Intel, the Intel logo, Xeon and Xeon Inside are the trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
Published By: IBM APAC
Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term.
A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
AI-Technologien wie Machine Learning und Deep Learning liefern zwei großen Marken in zwei sehr unterschiedlichen Branchen – Gesundheit und Versicherungen – Insights und Genauigkeit.
Theorien zu den zukünftigen Auswirkungen künstlicher Intelligenz (AI) auf die Geschäftswelt und die Gesellschaft sind allgegenwärtig. Aber die Realität, wie Unternehmen sie kennen, die Technologien wie Machine Learning und Deep Learning anwenden, ist schon aufregend genug. Geschäftsmodelle werden anhand der Insights umgestaltet, die durch die leistungsstarken kognitiven Funktionen generiert werden. Neue Produkte und Dienstleistungen verbessern das Benutzererlebnis – um nicht zu sagen die menschliche Existenz. Auf sehr reale und bedeutsame Weise verbessert AI die Welt.
What is a Data Lake?
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Download to find out more now.
Defining the Data Lake
“Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
The Cisco 2015 Annual Security Report, which presents the research, insights, and perspectives provided by Cisco Security Research and other security experts within Cisco, explores the ongoing race between attackers and defenders, and how users are becoming ever-weaker links in the security chain.
In September 2017, Akamai commissioned Forrester Consulting to examine how companies approach digital experience and digital security. A survey of over 350 IT executives around the world found that:
Customer trust is at an all-time low and it’s hurting growth
Executives are aware that customer trust is becoming critical to success
Companies struggle to balance security with digital experience
Failure to deliver on security impacts brand reputation, customer trust, and revenues
This report, Drop A Pin At The Intersection Of Digital Experience And Security, shares insights into these findings and what sets top digital businesses apart.
Published By: Sage EMEA
Published Date: Dec 19, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions. Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people better an
If you're still struggling to understand how social really impacts your brand health, it's time to get focused. This step-by-step guide shows you how brands win big by engaging consumers in the purchase path.
Enterprises strive for ever-greater business impact from their online presence, demanding more from Web content management than it has traditionally delivered. In this Gartner report, you'll find how well WCM vendors are responding, providing insights for buyers and those reviewing their existing applications.