prediction

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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.
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cybersecurity, enterprise networks, enterprise security architecture, risk reduction, ios attacks
    
Lookout
Published By: GE Power     Published Date: Jan 30, 2017
Be the first to read the 2017 top digital trend predictions for the (remove second the) the power and utility industry, and gain a competitive edge by understanding what’s next. Across the Electricity Value Network (EVN) - from generation through T&D and end user management, first movers and proactive digital adopters are far more likely to thrive in the future. Read the new Brief and learn how:
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2017 top digital trends, power plants, utilities, power producers, electricity value network, top digital trends, power plant cyber attacks, power grids
    
GE Power
Published By: Cisco     Published Date: Apr 04, 2014
A Cisco infographic on the predicted growth of the cloud with projections and behavioral predictions until 2017.
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cisco, cloud, data center, growth, predictions, research
    
Cisco
Published By: Oracle Corp     Published Date: Oct 02, 2012
Predictions - The Future of HCM Analytics
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hcm, oracle, analytics, ihrim, human resource
    
Oracle Corp
Published By: Adobe     Published Date: Aug 05, 2014
In 2014, there will be more than 2 billion smartphones global. Mobile is becoming not on the new digital hub but also the bridge to the physical world. That's why mobile will affect more than just your digital operations- it will transform your entire business. 2014 will be the year that companies increase investments to transform their business with mobile as a focal point. This fifth annual mobile trends report highlights new mobile trends that we expect to see this year as well as some over hyped topics that we believe will fail to provide real business value in the short term.
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forrester, mobile trends, mobile, digital operations, business value, smartphones, enterprise applications
    
Adobe
Published By: WNS     Published Date: Jun 21, 2017
The US retail industry has had an interesting holiday season, marked by high expectations, volatility and distractions, and a reassuringly strong end. While it saw high sales growth - a 4 percent growth over last year, the best in some time - the results have not brought cheer all around. In many respects, the 2016 holiday sales data emphasizes the disruption patterns impacting the retail industry, and validates several predictions about the changing face of retail. Online and mobile sales continue to grow unabated, at 17 and 44 percent respectively, while in-store traffic saw the highest decline in two years. While none of this is surprising in itself, it helps to highlight the role omni-channel retail will play in the coming years.
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retail industry, online sales, mobile sales, analysis, store traffic, branding
    
WNS
Published By: Pure Storage     Published Date: Jan 12, 2018
Data is growing at amazing rates and will continue this rapid rate of growth. New techniques in data processing and analytics including AI, machine and deep learning allow specially designed applications to not only analyze data but learn from the analysis and make predictions. Computer systems consisting of multi-core CPUs or GPUs using parallel processing and extremely fast networks are required to process the data. However, legacy storage solutions are based on architectures that are decades old, un-scalable and not well suited for the massive concurrency required by machine learning. Legacy storage is becoming a bottleneck in processing big data and a new storage technology is needed to meet data analytics performance needs.
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reporting, artificial intelligence, insights, organization, institution, recognition
    
Pure Storage
Published By: iCims     Published Date: Feb 02, 2017
f there’s one thing we know about the world of talent acquisition, it’s that it’s always evolving. Staying ahead of the latest trends can give employers the edge they need to hire smarter in the year to come.
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iCims
Published By: Teradata     Published Date: Jan 30, 2015
Hadoop is the rising star of the business technology agenda for a simple reason — it disrupts the economics of data, analytics, and someday soon, all enterprise applications; it is secretly becoming an application platform too. Application development and delivery (AD&D) professionals should be aware of and take action on these eight predictions, including the disruptive power of “Hadooponomics,” Hadoop’s current killer app, the closing data management gap, and the emergence of brand new distros.
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hadoop, hadoop adoption, cornerstone, business technology, hadooponomics, enterprise adoption, applications, data management
    
Teradata
Published By: Swrve     Published Date: Mar 07, 2016
This white paper explores 5 ways in which this process will move forward in 2016 - with a practical focus on what is actually likely to happen in the next 12 months.
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mobile trends, mobile predictions, mobility, mobility trends, mobile devices, customer engagement, customer experience
    
Swrve
Published By: Ariba     Published Date: Apr 14, 2011
What will your job look like in five or ten years? Ever wonder? We do. So we asked some seasoned and visionary leaders for their predictions about the future of procurement, 10 years down the road.
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ariba, procurement
    
Ariba
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.
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Intralinks
Published By: Intralinks     Published Date: Nov 23, 2015
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.
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intralinks, security, data, threat, business technology
    
Intralinks
Published By: Lookout     Published Date: Dec 09, 2016
Our co-founders John Hering and Kevin Mahaffey have put together a list of our predictions, the way we see the mobile security industry moving in detail.
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Lookout
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.
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future, enterprise, mobile security, predictions, lookout
    
Lookout
Published By: IBM     Published Date: Apr 01, 2016
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.
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ibm, business intelligence, ibm connect, predictive analytics, enterprise applications, business technology
    
IBM
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.
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machine learning, apache spark, additional resources, big data, ibm
    
IBM APAC
Published By: SunGard     Published Date: Oct 05, 2012
What will the causes of downtime be in the near Future and How can You Minimize their impact?
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sungard, business resiliency, globalization, commerce, data, reputation, ultimately, customers
    
SunGard
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.
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Red Hat
Published By: Intralinks     Published Date: Aug 28, 2015
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.
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security, it management, data management, business technology
    
Intralinks
Published By: IBM     Published Date: Jul 28, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior-and profitable-interactions with customers. You'll learn: What it takes to uncover hidden trends and explore relationships across disparate data sources using natural language queries Ways to use in-depth insight to create highly relevant campaigns and content that's aligned with individual customer behaviors and preferences How to take product recommendations to new levels of accuracy with pinpoint prediction and targeting.
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ibm, commerce, analytics, business insight, business analytics, business advisor, commerce data, predictive analytics
    
IBM
Published By: IBM     Published Date: May 17, 2017
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
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energy, utilities, ibm, pov
    
IBM
Published By: NAVEX Global     Published Date: Mar 18, 2015
Get the inside track on the key ethics and compliance industry trends that will impact your business in 2015—and get the resources you need to help you plan for the year ahead.
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ethics and compliance, ethics trends, business technology
    
NAVEX Global
Published By: Lumesse     Published Date: Feb 12, 2015
This white paper from Lumesse reveals the 5 key predictions and workforce trends for the HR world ahead.
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hr predictions, hr trends, recruitment methods, talent disruption, job 3.0, 2015 hr trends, virtualization
    
Lumesse
Published By: Oracle     Published Date: Jan 28, 2015
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.
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Oracle
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