Application Portfolio Optimization (APO) provides executives with tools and information to assess the quality and condition of application assets as well as a means for understanding the impact of proposed application changes.
Organizations looking to implement desktop and app virtualization traditionally play a guessing game where storage is concerned. When considering local and physical storage, determining what would be necessary for the virtualized world is difficult and can be overwhelming. This is especially true when determining how virtualizing desktops will impact the storage architecture. Organizations risk over sizing their environment thereby wasting CapEx, or under-sizing and potentially ruining the user experience. Software-defined storage solutions, such as VMware Virtual SAN, provide simplified solutions with high performance data stores that offer fine-grained scalability with linearly-predictable performance as demand grows. Dell’s validated and certified desktop virtualization solutions incorporate vSphere and Virtual SAN, and provide a complete end-to-end solution that allows companies to grow and expand without large capital investments in SAN hardware.
Existing security controls are outmatched — at best static and reactive. Current layers likely aren’t protecting you against all attack vectors, like the vulnerable back door that is recursive DNS. And security mechanisms that frustrate, impede, or disallow legitimate users, devices, or applications will have low adoption rates and/or will curtail productivity. Benign users may even circumvent these processes, further undermining your corporate security posture and creating more gaps in your defense-in- depth strategy.
One of the many use cases associated with a zero trust security strategy is protecting your network — and most importantly, your data — from malware.
"Existing security controls are outmatched — at best static and reactive. Current layers likely aren’t protecting you against all attack vectors, like the vulnerable back door that is recursive DNS. And security mechanisms that frustrate, impede, or disallow legitimate users, devices, or applications will have low adoption rates and/or will curtail productivity. Benign users may even circumvent these processes, further undermining your corporate security posture and creating more gaps in your defense-in- depth strategy.
One of the many use cases associated with a zero trust security strategy is protecting your network — and most importantly, your data — from malware. "
Advanced Persistent Threat (APT) operators have proven they can breach enterprises like yours by undermining your critical security controls when you fail to protect digital certificates and cryptographic keys. Not securing all of your keys and certificates enables cybercriminals to bypass controls like threat detection, data protection, firewalls, VPNs, DLP, privileged access, and authentication systems that you expect will mitigate threats.
This paper takes an in-depth look at the true costs — both short and long term — of a data breach, and provides steps and tips that executive teams and security leaders can use to determine and reduce the true cost of a data breach.
Predictive analytics have been used by different industries for years to solve difficult problems that range from detecting credit card fraud to determining patient risk levels for medical conditions. It combines data mining and machine-learning technologies to create statistical models based on historical data. It then uses these models to predict future events. Extracting the power from the data requires powerful algorithms behind predictive analytics.
Will the people you need for your future workforce be there? This complimentary SuccessFactors white paper shows how to shorten the journey to data-driven decision-making about talent. Download it today.
According to American Society of Addiction Medicine (ASAM), opioid abuse costs employers approximately $10 billion from absenteeism and presenteeism alone. Despite the breadth and seriousness of this crisis, America’s employers lack a true understanding of how it impacts individuals in the workforce and their families. Castlight developed this first-of-its-kind study on opioid abuse by examining de-identified and anonymous health data reporting from Americans insured by large employers who use our product.
Government leaders have the unprecedented opportunity to accelerate the path to IT modernization. Download this whitepaper to learn more about the IT trends driving digital transformations and the considerations to be made in determining a successful strategy toward effective and compliant IT modernization. With the right approach, organizations can create an efficient and future-ready launching pad to agilely, cost-effectively and securely meet the needs of constituents, employees and internal customers; accommodate increasing data volumes; and comply with regulatory requirements.
The Smarter Process platform is IBM’s solution for reinventing
business operations in a way that infuses every process
with intelligence and expertise to deliver greater customer
centricity, which in turn fuels top-line growth. It incorporates
Business Process Management, Case Management,
Operational Decision Management and Process Analytics,
along with Process Discovery and Design with an objective of
ensuring that customers find it easy to do business and that
every interaction includes positive touch points.
Within the context of this new imperative, accessing cloud
efficiencies, leveraging mobile for greater engagement,
mining big data for insights, and enhancing customer
relationships via social media, are proving to be critical and
What you'll learn:
• Why batch-and-blast email is losing its effectiveness and the email techniques to replace it.
• How techniques like user-generated content and the mining of unstructured data can boost email effectiveness.
• What artificial intelligence is offering today – and what it could offer years from now.
• How omnichannel merchants can leverage physical locations as part of their online strategy.
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS
Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
Traditional brick-and-mortar multi-channel retailers have online competitors ruled by data scientists who define retail as a data mining and optimization problem. John Bible, Senior Director of Retail Data Science and Insight at Oracle Retail discusses the science of pricing, and predictions for the role of science in retail over the next five years.
Published By: Teradata
Published Date: Feb 26, 2013
Data is now available, often in endless amounts, from many rich sources. This article discusses the answers to how organizations can thrive in this era of rich and boundless information using a Unified Data Architecture platform.
As marketers, we use data at every level, from determining Facebook targeting to timing a major product launch. But how often do we take a look under the hood at the quality and usefulness of our data?
In this playbook, we’ll cover the strengths and weaknesses of third-party, second-party, and first-party data and where declared data fits into the current data landscape.
You’ll learn plays for activating declared data for:
Qualified lead generation
1-to-1 email personalization
Custom audiences and personalized retargeting
Audience building and profiling
In this section, we’ll cover the definitions, sources, and strengths and weaknesses of third-, second-, and first-party data.
In today’s increasingly mobile world, Energy workers require instant communication and access to data intelligence wherever the job
may take them. From the oil rig to the electric grid and everywhere in between, having the right data, in the right hands, at the right time,
no matter the environment or device of choice — is simply non-negotiable. Organizations across various Energy segments — oil & gas,
electric utilities, water utilities, and mining — are currently juggling a mix of communication devices and are hindered by gaps in coverage,
poor battery life and fragile equipment that cannot withstand harsh environmental conditions.
Yet, citizens rely on their homes being heated in the winter, on clean running water, and on lights that turn on when they flip the switch.
Meeting these expectations requires reliable, clear voice and data communications for Energy workers day-in and day-out. So oil & gas
workers can communicate safely in hazardous environments. So precious resources are
When it comes to worker safety, efficiency and production, nothing is
faster than right now. Organizations across various energy segments —
oil, gas, petrochemical, electric utilities, water utilities and mining — are
currently juggling a mix of communications solution devices and are
hindered by gaps in coverage, poor battery life and fragile equipment
that cannot withstand harsh environmental conditions. The power of
now puts instant communications at your workers’ fingertips — because
when communication slows, operation slows.
Citizens rely on their homes being heated in the winter, clean running
water and lights that turn on when they flip the switch. Meeting these
expectations requires reliable, clear voice and data communications for
energy workers day-in and day-out. So workers can communicate safely
in hazardous environments. So precious resources are not wasted and
efficient operations are maintained. So energy companies can continue
to exceed expectations.
Self-insured employers are mining their health and benefits data to save costs and provide quality care for employees. Data is driving business decisions, but how do you get from millions of rows of data to a consumable graph to taking action? In this white paper, we’ll delve into data analytics best practices that help self-insured employers find actionable insights in their benefits data.
• Which data sources will help you ensure you’re measuring the right thing at the right time
• How to ensure data variety and choose key metrics
• An example of a successful predictive analysis using benefits data
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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