In most cases, your physical data center will not disappear as these growth trends play out. Instead, it will evolve into a hybrid environment, incorporating a mixture of physical and virtual computing technologies—including both public and private clouds. You’ll face even more challenging security risks within these hybrid environments than you have protecting your physical data center today. And you won’t be alone with these challenges when making the shift to a hybrid data center architecture.
This white paper outlines a framework that emphasizes digitization and business transformation and the new opportunities pull processes bring.
The mechanism of “Pull” processes—those triggered by an actual event instead of a forecast—is nothing new. It is at the heart of many successful manufacturing strategies. Recent technological advances in digitization, including the harnessing of Big Data analytics, the use of the cloud, Business Process Management (BPM), social media, IIoT, and mobility, have extended the power of Pull beyond Lean manufacturing. In the wake of the current technological innovation wave, it is not uncommon for manufacturers to not know what next step to take.
In light of these new developments, this white paper will focus on the mechanism of business transformation enabled by these technologies, which can be attributed to two major forces: the power of Pull and digitization. Nine practical applications are detailed, showing how innovative manufacturers can better
As more companies compete for business, Original Equipment Manufacturers (OEMs) increasingly demand higher production rates and greater production flexibility from suppliers. If smaller-sized companies want to compete, they need the right tools and latest technology. NC Machining manufactures should ask three primary questions when considering the tools to improve competitiveness and implement Lean practices:
• Do the tools provide the means for improved collaboration between engineering and manufacturing, and incorporate manufacturing best practices?
• Can all data and program information reside in one database or platform that is accessible concurrently by all enterprise stakeholders—from design engineering to the shop floor?
• Is it possible to perform real-time multi-disciplinary simulations to improve performance and manufacturing targets?
Discover how to optimize your NC Machine Shop Production, minim
Advanced analytics tools can help SMB retailers trim expenses while simultaneously improving shopper/associate engagement. Armed with big data insight into the performance of individual associates and stores small- and mid-size retailers can close the gap on the industry’s biggest players.
Download this Retail IQ report and discover how retailers both big and small can benefit from cutting-edge insight into the performance of their workforce to better schedule, plan and assign tasks.
If you’ve tried managing your retail operation’s labor performance without reliable, real-time data, you know the costly shortcomings of this approach. Tap into clear, easy-to-access workforce data — a single view of all elements of your workforce that empowers you to make effective decisions and protect your bottom line.
Workforce Analytics for Retail transforms labor and sales data into meaningful business intelligence. Learn how managers can make data-driven decisions that optimize workforce utilization, control labor costs, and drive continuous improvement.
Massive amounts of data are being created driven by
billions of sensors all around us such as cameras, smart
phones, cars as well as the large amounts of data across
enterprises, education systems and organizations. In
the age of big data, artificial intelligence (AI), machine
learning and deep learning deliver unprecedented
insights in the massive amounts of data.
Amazon CEO Jeff Bezos spoke about the potential of
artificial intelligence and machine learning at the 2017
Internet Association‘s annual gala in Washington, D.C.,
“It is a renaissance, it is a golden age,” Bezos said.
“We are solving problems with machine learning and
artificial intelligence that were in the realm of science
fiction for the last several decades. Natural language
understanding, machine vision problems, it really is
an amazing renaissance.” Machine learning and AI is a
horizontal enabling layer. It will empower and improve
every business, every government organization, every
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits.
For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models.
The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data.
Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
GDPR compliance can be achieved through a combination of people, processes and technology. This document has described solutions that can help organizations with their GDPR journey. But you can extend that protection and strengthen security controls even further via strong and risk authentication or workload automation for the processing automation of personal data helping you comply with GDPR as well as similar mandates. Regulations tend to set the minimum standards to be required, but in the application economy, open enterprises must ensure due diligence to protect one of the most important and critical assets: private customer information.
The European General Data Protection Regulation (GDPR) will be upon us on May 25th 2018, and contrary to enduring public opinion, Brexit won’t make any difference. The GDPR comes in response to global shuffling of privacy laws to meet the growing demands of cloud, data security and other technological needs. The US Safe Harbor framework has been replaced with Privacy Shield, and on top of this is the e-Privacy Regulation, which takes specific interest in electronic communications, cookies for tracking user behaviour online, and other issues around personal data and consent.
Dieses White Paper enthält die Ergebnisse einer von CA Technologies in Auftrag gegebenen Studie zur Analyse der Vorbereitungen in Unternehmen im Zusammenhang mit der Erfüllung der Compliance-Anforderungen für die DSGVO. Im Hinblick darauf, dass die DSGVO weitreichende Auswirkungen auf dieDaten hat, die in Umgebungen außerhalb der Produktion verwendet werden, ging es CATechnologies in ersterLinie darum zu verstehen, wie Unternehmen für die DSGVO planen und welcheProzesse und Technologien sie zur Unterstützung benötigen.
To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing.
In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever.
Recorded Feb 5 2018 49 mins
Steve Feloney, VP Product Management CA Technologies
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how:
Join us for this webcast to learn:
- How Test Data Manager finds, builds, protects and delivers test data fast!
- How to get your testing teams moving towards self sufficiency with test data
Get your questions answered. Come away happy!
Recorded Aug 20 2018 60 mins
Prashant Pandey, CA Technologies
SDx Central host a webcast to look at troubleshooting top-down application performance in Cisco SDWAN networks as well as assessing impact to application bottoms- up in a Cisco ACI data Center.
Jeremy Rossbach, Sr. Product Marketing Manager, CA Technologies
Jason Normandin, Sr Principal Manager, CA Technologies
Jessica Lyons Hardcastle, Senior Editor, SDx Central
Published By: Quick Base
Published Date: Aug 07, 2017
Many financial leaders struggle to find enough time to do everything needed because they must deal with manual processes and clunky spreadsheets. If you're concerned about wasting time by manually collecting financial data, find out how to conquer spreadsheets with the power of automation.
You'll learn key trends and insights backed by research and hear real-world examples and best practices for financial automation. You'll come away with the practical tips and inspiration you need to improve team performance, mitigate financial risk, and increase business impact.
"Download our Email Comes of Age guide so you can make every conversation engaging — including awkward ones. You’ll learn how to transition from pushing products to pushing the customer’s needs first — so that you’ll always give them the content they crave. Read our guide to learn how you can:
--Know your customers better by integrating more data
--Ensure every email reaches the inbox
--Delight customers with personalized experiences"
Digital loan origination processes can still require significant manual support, which is often inaccurate and time-consuming. This National Mortgage News paper, sponsored by Fiserv, explains how you can improve your current loan production while reducing costs and risk of non-compliance.
"Learn how you can reduce loan defects, improve data quality and simplify compliance in the mortgage lending process.
Co-presented with Craig Focardi, mortgage industry executive and technology advisor, this webinar provides insights into mortgage lending process challenges and how they impact experiences for lenders and borrowers, as well as the overall performance of the loan. The webinar also provides suggestions for reducing loan defects and strategies to correct them."
Even with the rise of digital payments, cash is still a popular form of payment. According to the Federal Reserve, consumers use cash to pay for nearly one-third of all retail transactions.
For many retailers, a completely "cashless society" is nowhere in sight. Cash management remains one of the most important aspects of managing a retail operation, particularly at quick service restaurants (QSRs) and convenience stores, where transactions are smaller and cash is a preferred method of payment. This white paper, Boost Profitability by Automating Cash, sponsored by Fiserv and Fast Casual, details the steps to manage cash properly and boost profit for your business.
Uncover the top reasons and flexible options to automate your cash management.
• Time savings
• Theft deterrence
• Higher accuracy
• Better customer service
• Real-time data