What can you see and discover when you’re able to explore trends and make predictions with your organization’s data? If you’re a midsize home delivery business, you can discover new ways to make customers happy. If you’re a local government agency, you can predict where your resources are needed most. And if you’re a growing hospital, you can bring life-changing patient data directly to doctors and nurses. In this e-book, we’ve profiled six organizations that are using self-service visual exploration to make big improvements in the way they work. From college administrators to professional sports teams, everyone makes better decisions with easy access to powerful, interactive analytics.
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:
Analysis of 55 million product SKUs. Aggregated and anonymous data from more than one trillion visits to 4,500 retail websites. Billions of data points flowing through Adobe Experience Cloud. It’s no wonder our holiday shopping predictions are the most comprehensive and accurate in the industry.
View the report, Adobe Digital Insights 2017 Holiday Shopping Predictions, and learn:
Total forecasted online holiday revenue, broken down by day and device
Top gifts on consumers’ wish lists this holiday season
Best days for buying based on discounts and out-of-stock risks
Airfare is increasing. Car rentals are down. Ecotourism is at an all-time high. The truth is, travel and hospitality is in flux. Read the Adobe Digital Insights report US Travel Trends in 2017 to see what’s going on in the industry, including major trends and predictions. You’ll learn all about:
•What motivates today’s customers to book travel reservations
•Why virtual (VR) and augmented reality (AR) are new disruptors in the industry
•Travel predictions for Summer 2017, including major holiday weekends
A recent Forbes article called robotic process automation (RPA) “a gateway drug to artificial intelligence (AI)”. In other words, RPA, provides organizations with a low barrier to entry into the AI world along with many of its benefits. Call it dipping a toe in the AI waters.
What’s clear is RPA is on a tipping point. But will this growth continue? In this e-book we explore 7 predictions for the RPA market in 2019 from the market-leading platform, Automation Anywhere.
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.
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.
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.
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.
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.
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.
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