data complexity

Results 176 - 187 of 187Sort Results By: Published Date | Title | Company Name
Published By: HP and Intel ®     Published Date: May 06, 2013
The workplace is changing rapidly to accommodate mobile and flexible work styles, as employees expect the same computing experience when working remotely as they get in the office. And those expectations are rising rapidly among all employees — not just in the executive hallways or engineering labs. To discover more about mobile work styles and client virtualization trends in today’s enterprises, Citrix Systems and HP commissioned Forrester Consulting to survey IT decision-makers in North America, Europe, and Asia for this Technology Adoption Profile (TAP). Coupled with Forrester’s existing Forrsights data, we found that IT is turning to client virtualization to manage the growing complexity that BYOD programs and mobility initiatives have created and is embracing end-to-end solutions to overcome the toughest client virtualization challenges concerning cost, performance, scalability, and security.
Tags : 
mobile, virtualization, mobile workforce, remote employees
    
HP and Intel ®
Published By: IBM     Published Date: Jan 09, 2014
Organizations are looking to eliminate data center complexity, sprawl and underutilization. This requires solutions that can boost efficiency and economics, while delivering high-performance capabilities. Read the white paper and see how users and industry analysts alike trust IBM Power Systems to break free from costly and impractical systems.
Tags : 
it solutions, smart analytics, analytics systems, testimonials
    
IBM
Published By: IBM     Published Date: Nov 12, 2014
There is an exponential increase in connected devices that are producing data about our homes, health, cars, and everything in between. The Internet of things (IoT) is exploding into apps that allow users to see and interact with these devices. Watson can enable IoT apps to understand the meaning and intent of the users that interact with these connected devices. Check out this upcoming webcast to learn how the cognitive services from IBM Watson available on Bluemix can make IoT apps be intelligent, overcome complexity, and support discovery and decision making.
Tags : 
cognitive internet, iot, iot apps, intent data
    
IBM
Published By: NetApp     Published Date: Mar 05, 2018
By 2018, more than 70% of new DBMS deployments will leverage cloud for at least one use case. Read the Gartner report State of the Operational DBMS Market, 2017 and get the latest insights and recommendations on DBMS strategy. Discover how to: •Evaluate modern data management capabilities before adopting new DBMS products •Lead a nonrelational technology assessment to determine which DBMS best meets your business requirements • Deploy a multimodel DBMS and reduce complexity in your data center
Tags : 
netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: IBM     Published Date: Oct 06, 2016
Companies that hope to stay competitive in the marketplace must begin to consider alternatives to x86, or else they will find themselves at a serious infrastructure disadvantage. Performance and flexibility embedded in the architecture can scale in a way that the number of servers can’t, as applications and data grow in depth and complexity.
Tags : 
linux, server infrastructure, ibm, x86 systems
    
IBM
Published By: Cisco and NVIDIA Corporation     Published Date: Apr 02, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps, are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day.
Tags : 
    
Cisco and NVIDIA Corporation
Published By: Forcepoint     Published Date: Oct 03, 2019
Enterprises are facing new challenges when it comes to protecting regulated data and critical IP. This webinar explores how companies should rethink data security, focusing on the following three principles: Analytics-Driven Visibility – to gain oversight everywhere users work and collaborate Risk-Adaptive Controls – to eliminate the complexity of policy enforcement Intelligent & Dynamic Automation – to build a better understanding of context and user intent Learn more about how to embrace a risk-adaptive approach to data protection.
Tags : 
    
Forcepoint
Published By: Forcepoint     Published Date: Oct 03, 2019
In part two of the Unified Data Protection for a Hybrid IT World webinar series, we take a deeper dive into use cases around the challenges that businesses are facing today and how Forcepoint’s solutions meet your data protection needs. Understanding the location of all data, whether at-rest, in-use, or in motion across on-premises and the cloud is essential to keep data safe and secure. This enables companies to identify their riskiest users and behaviors. With Forcepoint, you can automate the identification, classification, and protection of critical data. This webinar explores how companies should rethink data security. Protecting critical data and intellectual property requires a risk-adaptive, dynamic approach, including these three main components. Analytics-Driven Visibility – to gain oversight everywhere users work and collaborate Risk-Adaptive Controls – to eliminate the complexity of policy enforcement Intelligent & Dynamic Automation – to build a better understanding of c
Tags : 
    
Forcepoint
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
Tags : 
    
IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Encryption, if properly deployed and managed, is one of the most powerful tools that organizations can use to avoid costly and embarrassing data breaches. Yet organizations struggle with the complexity associated with the technology that often stems from a history of siloed investments of point solutions designed to largely address pools of regulated data associated with a compliance mandate.
Tags : 
    
Group M_IBM Q418
Published By: This program is brought to you by Oracle and Intel     Published Date: Mar 15, 2018
Leave unwieldy infrastructure behind and get cloud-ready with Oracle Exadata. If you’re finding that on-premises IT infrastructure complexity is holding you back, it’s time to streamline and simplify. Find out more about our family of purpose-built Oracle systems that can help you consolidate infrastructure and get the performance your business needs. You’ll be ready to make the most of cloud benefits, when the time’s right for you.
Tags : 
    
This program is brought to you by Oracle and Intel
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Tags : 
    
Group M_IBM Q2'19
Start   Previous    1 2 3 4 5 6 7 8     Next   End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.