Learn how predictive analytics and machine learning can help optimize application performance and meet the needs of the business with Nimble Storage Infosight.
This ESG report highlights:
• Optimal application performance and delivery is difficult to achieve in complex environments.
• Many IT infrastructure and operations teams are stretched to the breaking point.
• Predictive analytics and machine learning can be applied to great effect.
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out:
-Top 5 causes of downtime and poor performance across the infrastructure stack
-How machine learning and predictive analytics can prevent issues
-Steps you can take to boost performance and availability
Storage is normally the first suspect when identifying
the causes of the App-Data Gap, but the facts tell
a different story. Flash Alone Isn’t Enough.
Infrastructure complexity makes it difficult to pinpoint the real problem, resulting in:
• Extended downtime and frustration
• Inefficient use of IT resources and budget
• Long hours spent resolving cross-vendor issues
Foodservice managers who have lingering doubts about investing in on-site
language training should consider this:
By 2027, over one million new jobs are expected to be added to the restaurant
According to the National Restaurant Association, “All of this means that
foreign-born employees will be increasingly important to the restaurant
industry’s ability to expand and create jobs in the years ahead.”38
For foodservice operators and managers who want to plan for their future now,
the question is obvious: What’s the best way to address these issues?
Rosetta Stone can provide some answers.
With global opportunities on the rise,. having a multilingual workforce has become a critical market success factor. Language proficiency and awareness of a market's culture, local customs, and business traditions conveys respect for customers and colleagues, which leads to greater trust and improved business results.
Businesses are providing language-learning resources that prepare employees to engage in these markets. Forbes Insights and Rosetta Stone surveyed 200+ executives globally to understand the impact of language training on companies and employees. Read this guide to learn the key themes and data from the report.
Language training is a crowd favorite in any global company's training mix. But how valuable is it to the business?
The 2016 Rosetta Stone Business Impact Survey answered this and other key questions by surveying thousands of users of its business products. This e-book shares the key results to help human resource, learning and development, and business line leaders better understand how language impacts business.
There's a need for better language learning, and a strong case for it.
87% of business executives say their business relies on more than one critical languages. Those that invest in learning outperform the market by more than 45%. Learn how improvements in your language programs provide tangible business returns.
When augmenting the benefits package for your organization, it’s natural to focus on traditional perks that employees have come to
expect: PTO, health insurance, and maybe a tuition assistance credit here or there. But if you’re looking for creative and effective ways to stimulate employee engagement while also driving business results, you’ll want to consider the powerful impact of offering language-learning opportunities.
Where’s the connection? And how can you reproduce these benefits within your organization? This playbook offers a deeper look at why language learning has such a positive influence on employee engagement and business performance, as well as step-by-step instructions for implementing a language-learning program in your organization.
Language training is a crowd favorite in any global company's training mix. But how valuable is it to the business? How does an organization convert the time spent conversing with virtual tutors or playing listening games into actual business value? The Rosetta Stone Business Impact Survey answered these and other questions by surveying thousands of users of its business products. This e-book shares the key results to help human resource, learning and development, and business line leaders better understand how language impacts business.
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology —what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution,it dramatically increases your ability to detect attacks that use unknown malware.
Download this white paper to learn:?How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware?Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML ?How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-generation AV
Explore this e-book to find out how blending formal and informal learning via collaboration can help your organization in the following areas:
Overcoming the Economics of Learning
Creating a Culture of Learning
Enhancing Employee Engagement
Marketing leaders will find a host of new vendors in this year's Magic
Quadrant for multichannel campaign management. Vendors are focused on integrating machine learning, personalization and ad tech capabilities into big data foundations for deeper customer engagement.
See the 2017 retail holiday recap for learnings you can use while planning for Holiday 2018.
Why the target audience should care: Get the trends from last year’s holiday season so you can predict your results this year. Find out why Black Friday online sales are expected to surpass Cyber Monday’s, why bigger retailers are stealing online share from smaller retailers, and why search advertising and mobile optimization should be your top priorities this season.
Published By: Oracle CX
Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions
of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by
the aggressive build-out for cloud computing. Big data and machine learning applications that perform
tasks such as fraud and intrusion detection, trend detection, and click-stream and social media
analysis all require forward-thinking solutions and enough compute power to deliver the performance
required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of
business up, and organizations need to support their customers with real-time data. The task of
managing sensitive information while capturing, analyzing, and acting upon massive volumes of data
every hour of every day has become critical.
These challenges have dramatically changed the way that IT systems are architected, provisioned,
and run compared to the past few decades. Most companies
The global electronics industry is the cornerstone of
the digital economy and the Internet of Things (IoT).
Electronic devices act as conduits for users’ digital
experiences, which are now seamlessly enabled and
updated in the cloud. The industry’s digital device
success has also introduced its latest challenge: going
beyond the device. Leveraging data to drive insights is
key to delivering greater value. Doing so requires
electronics firms to flawlessly integrate hardware,
software, services and data while learning from and
adapting to users. Through Digital ReinventionTM, they
can combine digital approaches and data by design to
drive new capabilities, changing business from the
A fundamental people-process-technology transformation enables businesses to remain
competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection
services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality
experience, machine and deep learning, and cognitively enabled applications drive superior
business outcomes such as predictive marketing and maintenance.
Superior business outcomes require businesses to consider IT a core competency. For IT, an
agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service
delivery model. The more up to date the infrastructure, the more capable it is of supporting the
scale and complexity of a changing application landscape. Current-generation applications must
be supplemented and eventually supplanted with next-generation (also known as cloud-native)
applications — each with very different infrastructure requirements. Keeping infrastructure up
Published By: B Channels
Published Date: Apr 27, 2018
This white paper provides an overview of Cloud service providers and outlines three key learnings for dealing with them effectively.
Discover what connects cloud service providers with traditional software vendors
Download to explore 3 key differences.
No one knows what a future AI-filled society will look like, but we do know the transformations will be mind-blowing. What skills and capabilities must your organisation build to survive and prosper?
Read our ‘Learning to Learn’ report, to discover:
how AI will change the way economies, societies and businesses operate
how AI will change the skills your workforce needs in the 21st century
what AI means for the way we learn
how AI will change the role of the HR function for ever.
Join Oracle’s CX and Marketing Strategy Director, Wendy Hogan, and Senior Vice President Oracle Marketing, Shashi Seth, as they tell how AI, machine learning and data science can engage customers, automate tasks and build ROI. Reaching the right customers on the right channel at the right time, brings rewards for CMOs who embrace these innovations, including engaged customers and increased ROI. Be inspired by the new-generation AI, machine learning and data science and take your marketing to the next level.
By processing real-time data from machine sensors using arti?cial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.
Selecting the best computing solutions within higher education can be a challenge with so many uses and options today. This use case guide takes into consideration higher education needs regarding form factor and key features. Take a look at this guide to learn how the computing choices made can facilitate the student learning environment whether in computer labs, in interactive learning spaces, or if learning takes place on the go via academic-related activities with digital signage located in the hallway. Read this paper today to find out the best desktop and display solutions to meet the needs of university and college students.