More than 50% of all e-commerce fraud losses are from cyberattacks such as account takeover, gift card cracking and inventory scalping. While these attacks occur year round, the majority of losses are sustained during peak seasonal promotions and new product releases.
Watch this briefing to learn the anatomy of the costliest attacks on web and mobile applications, and insights from Top 10 Retailers on successful mitigation techniques. Topics covered include:
Top 3 retail attack techniques
Analysis of attack data during sales promotions
Best practices from Top 10 Retailers
Published By: Infosys
Published Date: Sep 12, 2019
Digital-born companies have challenged large long-established businesses across industries with newer data, AI-powered experiences, products/services. Sustained competitive advantage through customer ownership and seller power has since been significantly challenged and overturned. Customers are taking to newer AI and data-powered products/services in their pursuit of better experiences and exponentially higher value. This has triggered every company to challenge status-quo, unleash themselves from very structure of industry and embrace transformation in the new world.
Data and AI have shaped themselves into a major economic force that is at the epicenter of transformation of every industry; through 3 horizons. Data, in the first horizon, was the key ingredient in driving more data-driven decisions. Data, in the second horizon, is playing a transformational role in the enterprises' pursuit of being Data Native Digital Native enterprise.
Published By: Gigamon
Published Date: Sep 03, 2019
Network performance and security are vital
elements of any business. Organisations are
increasingly adopting virtualisation and cloud
technologies to boost productivity, cost savings
and market reach.
With the added complexity of distributed
network architectures, full visibility is necessary
to ensure continued high performance and
security. Greater volumes of data, rapidlyevolving threats and stricter regulations have
forced organisations to deploy new categories
of security tools, e.g. Web Access Firewalls
(WAFs) or Intrusion Prevention Systems (IPS).
Yet, simply adding more security tools may not
always be the most efficient solution.
Mapping, tracking, positioning and real-time data arekey to supporting defense and intelligence initiatives. Governments and agencies need location data they can trust to track and adjust fixed and mobile resources to address rapidly changing events and circumstances. With Ovum's Location Platform Index: Mapping and Navigation, agencies can assess location platform industry leaders and identify the platform that best meets their product development demands. This year, HERE Technologies cemented its role as the industry leader, earning the highest ranking, and besting Google, for the second time in a row.
Download your free report to learn:
The relative strengths and weaknesses of each vendor, including data, enablers and features
Vendor strategies to keep up with changes in technologies and trends
The specific workings of the location platform market, and to better understand what constitutes a healthy location platform and which provider offers the correct portfolio and the necess
Rapid prototyping helps companies turn ideas into realistic proofs of concept, advances these concepts to high-fidelity prototypes that look and work like final products, and guides products through a series of validation stages toward mass production. With rapid prototyping, designers and engineers can create prototypes directly from CAD data faster than ever before, and execute quick and frequent revisions of their designs based on real-world testing and feedback.
Download this white paper to learn:
How rapid prototyping fits into the product design process
The applications of rapid prototyping from concept models to manufacturing
An overview and comparison of 3D printing technologies for rapid prototyping: FDM vs. SLA vs. SLS
Empower your developers and drive productivity by leveraging Kubernetes.
Carmen Puccio, Principal Solutions Architect, Amazaon Web Services, Inc.
Michael Gerstenhaber, Director of Product, Datadog
Jon Moter, Senior Principal Engineer, Zendesk
To survive and thrive in an era of accelerating digital
disruption, organizations require accessible data,
actionable insights, continuous innovation, and
disruptive business models. It’s no longer enough to
prioritize and implement analytics – leaders are being
challenged to stop doing analytics just for analytics’
sake and focus on defined business outcomes.
In addition, these leaders are being challenged to
bring predictive capabilities and even prescriptive
recommended actions into production at scale. As AI
and accelerated growth and transformation become
top of mind, many enterprises are realizing that their
current segmented analytics approach isn’t built to last,
and that real transformation will require proper endto-
end data management, data security, and a data
processing platform company-wide. The year 2019 will
be a turning point for many organizations that realize
being data-driven doesn’t guarantee future success.
Published By: Tricentis
Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014…
• The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old
• Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161
• "Continuous Testing” just started appearing in industry publications and conferences2
• Many of today’s popular test frameworks were brand new—or not yet released
• The term “microservices” was just entering our lexicon
• QC/UFT and ALM were still sold by HP (not even HPE yet)
• Only 30% of enterprise software testing was performed fully “in house”3
• There was no GDPR restricting the use of production data for software testing
• Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like
SAP S/4HANA and Salesforce Lightning hadn’t even been announced
Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon.
And the pace and scope of disruption will continue to escalate throughout the fo
A well-planned cyberattack or an accidental download of
malware can mean the difference between a productive
day and all work grinding to a halt. As hackers get more
sophisticated, organizations concerned about their
bottom line and security of their customer, employee or
student data must stay on top of security.
The introduction of the IBM z14 ZR1 and LinuxONE Rockhopper II fills out the product line of the latest generation of IBM mainframes. Infrastructure and operations leaders tasked with managing, protecting and, increasingly, using data for competitive advantage will find this new release interesting.
Published By: Cohesity
Published Date: Aug 09, 2019
As organizations continue to look for ways to increase business agility, a need for a modern database architecture that can rapidly respond to the needs of business is more apparent than ever. While an RDBMS still serves as a lifeline for many organizations, the adoption of technologies such as NoSQL and Hadoop are enabling organizations to best address database performance and scalability requirements while also satisfying the goals of embracing hybrid cloud and becoming more data-driven. And with organizations relying so heavily on these new technologies to yield rapid insights that positively impact the business, the need to evaluate how those new technologies are managed and protected is essential. Hadoop and NoSQL workloads are now pervasive in production environments and require “production-class” data protection, yet few data protection solutions offer such capabilities today.
Published By: Cohesity
Published Date: Aug 09, 2019
IT organizations everywhere are undergoing significant transformation to keep pace with the needs of their businesses. They’re tasked with
consolidating data centers and migrating both workloads and data to the cloud. The transition has been easier for some than others.
As hybrid architectures increasingly become the norm, how are enterprises gaining complete visibility, simplifying management, and making use
of all of their data—both on-premises and in the cloud?
Five enterprises explain how they’ve replaced multiple products that created legacy data silos with Cohesity – a single, hyperconverged softwaredefined
platform with native Microsoft Azure integration for simplified secondary data and applications. For them, Cohesity and Azure together
boost IT agility while lowering costs, solving critical secondary data challenges from long-term retention, storage tiering, test/dev, disaster
recovery and cloud-native backup in a proven hybrid cloud architecture.
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve.
In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more.
Download our webinar to learn
Implement ML successfully with minimal data science expertise.
In years past, device functionality was enough to sell most embedded products without much concern for cybersecurity. Of course there were exceptions, such as in critical infrastructure, aviation, and military, for which security was always of importance. But today’s environment has evolved on several fronts. First, organizations across nearly all markets are demanding Internet connectivity to monitor and control devices as well as to aggregate and analyze data. Second, the magnitude of security threats has exploded, driven by highly sophisticated hackers including organized criminal gangs seeking financial returns, creating a constantly evolving threat landscape. Third, the increasingly complex nature of connected systems makes them ever more challenging to protect. The more complex a system, the more potential vulnerabilities it may contain. And fourth, the data generated by connected devices represent an asset that is becoming increasingly valuable for organizations to derive insigh
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support.
At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Today, you can improve product quality and gain better control of the entire
manufacturing chain with data virtualization, machine learning, and advanced
data analytics. With all relevant data aggregated, analyzed, and acted on, sensors,
devices, people, and processes become part of a connected Smart Factory
•? Increased uptime, reduced downtime
•? Minimized surplus and defects
•? Better yields
•? Reduced cost due to better quality
•? Fewer deviations and less non-conformance
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization.
Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon.
We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to:
Digitize the business
Survive digital disruption
Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
Being able to monitor and respond to patient inquiries quickly and effectively is critical to creating a positive clinical experience and delivering successful products. But compiling and monitoring this data to address customer concerns in a timely way is a challenge when you have disparate sources and systems, global teams, and multiple patients.
Read how a top 10 global pharmaceutical company worked with Slalom and AWS to design and implement a unified and globally distributed event and inquiry data reporting system. By combining three types of requests into one solution, the company has improved the customer experience and increased call center and data input operational efficiency by 50%.
Learn how to
Increase access to relevant data to help inform future or ongoing clinical trials
Adapt your existing system development processes to an agile approach
Engage with Slalom and AWS throughout the lifecycle of a healthcare engagement
Download the free guide to learn how to give employees secure, flexible access to the apps, content, and data that they need to work from any device and location. In the guide, you will discover:
• If your current productivity and collaboration tools are falling short.
• 3 questions that will help you spot gaps in your mobile device security that are putting your company at risk.
• Quick ways to improve employee collaboration while enhancing your data security.
According to Gallup, 1/3 of employees could be lured away by the possibility of work flexibility. And the best way to securely deliver that flexibility is to move beyond virtualizing desktops and into the secure digital workspace. Read the white paper to see why making the move — with the help of a trusted partner —can help you:
• Improve user productivity
• Empower your IT organization to be more agile
• Better protect your company data
Published By: Sage EMEA
Published Date: Jun 25, 2019
Digital transformation is now in the rearview for today’s top-performing manufacturers. Industry 4.0 is the next phase of the journey toward “perfect production,” where the aim is minimal downtime, neglect, waste, and inefficiency. Industry 4.0 is where factory managers, financial experts and executives use cutting-edge technology to understand data and production – reaching the pinnacle of technology and manufacturing development.
Published By: Procore
Published Date: Jun 25, 2019
Understanding the inextricable link between safety, quality and productivity is a critical piece of knowledge for today's construction management professional. And it should be leverage at all stages of a projects, from planning to programming and through the execution of the work.
A proper task analysis will:
Account for all three elements: safety, quality and productivity
include input from site personnel
Include the information needed to make decisions on the site
Be a workable plan
Remember that once you accept safety, productivity and quality are inextricably linked, you begin to realise that the data you harvest from your various site reports, such as reports of near misses or the need for constant rework, may also be able to fill in the blanks and tell a story about the overall progress and productivity on a project as well.
Maximize go-to-market initiatives with SAP
To succeed in today’s hypercompetitive environment, consumer products companies need greater speed and agility. See how SAP C/4HANA solutions can help you synchronize activities across your modern trade and direct-to-consumer efforts – and ultimately bring you closer to your consumers. Grow your brand and your market share with an intelligent strategy.
The Crossover Effect: Positioning Consumer Products Companies for Growth
Learn how SAP empowers consumer products companies to improve customer experience and leverage new types of data, digital capabilities, and success measures to drive growth.
? Join the Direct-to-Consumer Revolution
Learn about how SAP Customer Experience solutions enable consumer products companies to get closer to the consumer than ever before.
? Henkel Drives Sales Innovation with SAP Trade Management
Martin Reinicke of Henkel Beauty Care shares how the SAP Trade Management solution helps the company adapt to rapid m
WE LIVE IN A WORLD WHERE WORK IS NO LONGER A PLACE WHERE YOU GO. It’s what you do — a dynamic activity that people expect to accomplish anywhere, anytime, on any device. Supporting today’s workforce requires a digital platform that empowers productivity and ensures security and management at scale everywhere: on site, on the road, or in the cloud.
According to IDC, by 2020, mobile workers will account for 72 percent of the U.S. workforce. And they won’t be just checking email. These workers want to be productive 24/7. That means access to data, documents, and corporate apps anywhere, anytime, on any device. Enterprises, however, are struggling to allow more workers to use additional devices from a multitude of locations.
Published By: Forcepoint
Published Date: Jun 06, 2019
As more and more companies are encouraging their employees to work from anywhere, on any device, data loss prevention (DLP) has evolved from an option to a requirement. In the past, DLP has been associated with complicated deployments and pervading operational management issues, yet DLP is not so much a product but a strategy—success depends on methodology and execution.
Download the whitepaper for insightful guidance on implementing DLP. Key topics include:
• Latest data-breach trends
• Assessing DLP vendors
• Nine-step framework
• Best practices to ensure success