Published By: Intralinks
Published Date: Apr 13, 2015
The truth is that they can get a lot worse – and no one is immune. Your company’s data has never been at greater risk.
There is no doubt that 2014 was a dire year for many organizations, as they failed to properly protect their computer systems and the data held upon them.
As if it wasn’t bad enough keeping on top of new zero-day vulnerabilities, targeted attacks, and revelations of state-sponsored espionage, users are potentially exposing companies’ most important data by not following best practices and using consumer-grade cloud services that aren’t built with enterprise needs in mind.
An ever more mobile workforce wants to work on their files remotely but may be taking dangerous risks with sensitive corporate data at the same time.
In this white paper, we detail some of the biggest computer security threats of the last year and offer some predictions on what we can expect to see in 2015.
Published By: Lookout
Published Date: Mar 29, 2017
As threats to enterprise mobility continue to intensify, the mobile security industry is evolving quickly. In this report, Lookout co-founders John Hering and Kevin Mahaffey share their predictions for what important new changes are coming and how you can best prepare your organization for success.
Published By: Lookout
Published Date: Aug 30, 2017
Most people define mobile devices – smartphones and tablets – as those
running a mobile-optimized operating system (e.g. iOS, Android, Windows
Phone). There’s a trend emerging, however, in which traditional mobile
devices are gaining functionality typically associated with PCs.
At the same time, PCs are being architected more like mobile devices — an
interbreeding of species, if you will. The iPad Pro, for example, has a
keyboard. With Windows 10, phones and tablets can run “Universal” apps
that also run on PCs. Windows 10 also has application-layer sandboxing,
code-signing, and an app store with apps pre-vetted by Microsoft. In
certain configurations (i.e. enterprise-managed devices), a laptop running
Windows 10 has a security architecture that looks strikingly similar to a
smartphone or tablet.
Traditional business intelligence (BI) looks backward at what has happened. In today’s marketplace, enterprises need to look ahead. In this eGuide from TDWI, you'll discover how advances in predictive analytics are enabling organizations to use insights about the past and present to make accurate predictions about the future.
Published By: IBM APAC
Published Date: Aug 25, 2017
Machine learning automates the development of analytic models that can learn and make predictions on data. It has been one of the fastest growing disciplines within the world of statistics and data science, but the barrier to entry has been high, not only in cost, but also in the need for specialized talent.
Published By: Red Hat
Published Date: Dec 15, 2015
New Gartner research predicts that 75% of IT organizations will have a bimodal capability by 2017. Bimodal is a critical capability that
combines the solid conventional capabilities of IT alongside a capability to respond to the level of uncertainty and the need for
agility required for a digital transformation. According to Gartner,
half of IT organizations that have a bimodal capability will make a
mess. Learn more about Gartner's predictions for common mistakes that CIOs will make and how to avoid them.
Making predictions is a risky activity. Making predictions in the utility industry can be perilous. History is filled with missed or prematurely exuberant pronouncements of the future of utilities and energy. For example, in the late 20th century, many predicted that the world’s oil supply had reached peak production and would become scarce. Instead, shale gas and oil are in abundance. In the 1990s, people predicted that fuel cells and hydrogen would dominate the landscape by 2010, another illustration that predictions can fail to reach their promise.
Learn more. Download now
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.
As a business leader of a manufacturing company, you may be experiencing the challenges of competing in a digitally transformed marketplace. In our increasingly digital world, your ability to grow depends on how your business leverages the latest best-practice technology. Is your enterprise resource planning (ERP) system keeping pace?
In this Forrester Research report—presented by Epicor Software—you’ll discover the latest insights on software as a service (SaaS) business solutions. SaaS business applications will evolve in the cloud to new levels of value in:
The report also provides predictions and recommendations that will help guide your manufacturing business with its strategic growth initiatives.
Download the report to learn more, and discover why you should change the way you think about cloud.
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.
HR, corporate development, and employee training are rapidly approaching a new reality that’s as much science fact as science fiction. “Human Learning is About to Change Forever,” a white paper we researched in partnership with Cisco, shares nine bold predictions about how technology will impact employee training and leadership development.
Read Cloud Services Brokerage for Dummies® to learn about the state of cloud computing today, how CSBs add business value, what's important to think about when considering a CSB, and predictions about what's to come.
Published By: Red Hat
Published Date: May 05, 2015
New Gartner research predicts that 75% of IT organizations will have a bimodal capability by 2017. Bimodal is a critical capability that combines the solid conventional capabilities of IT alongside a capability to respond to the level of uncertainty and the need for agility required for a digital transformation. According to Gartner, half of IT organizations that have a bimodal capability will make a mess. Learn more about Gartner's predictions for common mistakes that CIOs will make and how to avoid them.
Published By: BMC ASEAN
Published Date: Dec 18, 2018
The business world is entering an age of the digital “haves” and the digital “have-nots.” In fact, research firm Forrester anticipates a growing “digital crisis” in its 2018 predictions, noting that 60% of CIOs and other executives it surveyed say they’re behind in their digital transformations. Meanwhile, Forrester expects one in five CEOs will fail to act on digital initiatives and put their firms in serious jeopardy as a result.
Savvy organizations are embracing cloud, the Internet of Things (IoT), artificial intelligence (AI), and other transformative technologies to solve meaningful business problems and achieve their strategic priorities. Everyone else is getting left behind.
Nowhere is this fork-in-the-road moment more apparent than in how enterprise IT teams deliver and manage services, to employees and customers alike.
Skills and resources — these are the two elements that make up an attacker’s arsenal. An attacker, however, cannot set out to break security or even perform sophisticated attacks without finding weak points in a system first. Massive malware attacks, email-borne heists, hacked devices, and disrupted services — all of these require a vulnerability in the network, whether in the form of technology or people, in order to be pulled off.
Trend Micro has looked into the current and emerging threats, as well as the security approaches tailored for the landscape. Read on to find out how to make informed decisions with regard to the security focus areas that will figure prominently in 2018.
Published By: Dell-Intel
Published Date: Jun 19, 2009
Despite progress in virtualization, much development still remains. With predictions that virtualization will become pervasive, this research highlights forthcoming challenges and strategic issues facing IT planners. Register now for this free Gartner report sponsored by Dell and Intel to receive important advice on how to deal issues such as heterogeneity, resources and performance optimization, and the increasing fragmented tool market.
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.
Data Centre Dynamics Ltd.
102-108 Clifton Street
London EC2A 4HW