Enterprises, beware. Threat actors are continuing to eye businesses for high returns on investment in Q1 2019, breaching infrastructure, exfiltrating or holding data hostage, and abusing weak credentials for continued, targeted monitoring. From a steadfast increase of pervasive Trojans, such as Emotet, to a resurgence of ransomware lodged against corporate targets, cybercriminals are going after organizations with a vengeance.
Yet every cloud has a silver lining, and for all the additional effort thrown at businesses, consumer threats are now on the decline. Ransomware against consumers has slowed down to a trickle and cryptomining, at a fever pitch against consumers this time last year, has all but died. Interestingly, this has resulted in an overall decline in the volume of malware detections from Q4 2018 to Q1 2019.
While threat actors made themselves busy with challenging new victims, they ensnared targets in the old ways, using tried-and-true malspam and social engineering tactic
Published By: ServiceNow
Published Date: May 14, 2019
Learn how ServiceNow Event Management uses AIOps to dramatically improve business service availability and performance by mapping business services with accurate service context, intelligently analyzing events, integrating existing monitoring and event management tools, and reducing event volumes.
Published By: ServiceNow
Published Date: May 14, 2019
In this report Gartner provides recommendations to address the key challenges I&O leaders are facing such as the inability to identify and remediate issues quickly, lack of insights to connect increasing volumes of data, and executive level sponsorship in tool replacement and consolidation.
NICE has made a significant investment into AI and ML techniques that are embedded into its core workforce management solution, NICE WFM. Recent advancements include learning models that find hidden patterns in the historical data used to generate forecasts for volume and work time. NICE WFM also has an AI tool that determines, from a series of more than 40 models, which single model will produce the best results for each work type being forecasted. NICE has also included machine learning in its scheduling processes which are discussed at length in the white paper.
Data is the lifeblood of business. And in the era of digital business,
the organizations that utilize data most effectively are also the most
successful. Whether structured, unstructured or semi-structured,
rapidly increasing data quantities must be brought into organizations,
stored and put to work to enable business strategies. Data integration
tools play a critical role in extracting data from a variety of sources and
making it available for enterprise applications, business intelligence
(BI), machine learning (ML) and other purposes. Many organization
seek to enhance the value of data for line-of-business managers by
enabling self-service access. This is increasingly important as large
volumes of unstructured data from Internet-of-Things (IOT) devices
are presenting organizations with opportunities for game-changing
insights from big data analytics. A new survey of 369 IT professionals,
from managers to directors and VPs of IT, by BizTechInsights on
behalf of IBM reveals the challe
Empowering the Automotive Industry through Intelligent Orchestration
With the increasing complexity and volume of cyberattacks, organizations must have the capacity to adapt quickly and confidently under changing conditions. Accelerating incident response times to safeguard the organization's infrastructure and data is paramount. Achieving this requires a thoughtful plan- one that addresses the security ecosystem, incorporates security orchestration and automation, and provides adaptive workflows to empower the security analysts.
In the white paper "Six Steps for Building a Robust Incident Response Function" IBM Resilient provides a framework for security teams to build a strong incident response program and deliver organization-wide coordination and optimizations to accomplish these goals.
Published By: Genesys
Published Date: Dec 20, 2018
Companies across the world are innovating with artificial intelligence (AI) to improve customer experience and forge deeper relationships with customers. Through surveys and interviews with 599 executives, from large and mid-sized companies across the globe, this MIT report reveals that most customer-centric firms have already deployed AI extensively in their customer-facing operations and customer experience management processes.
Get the global report and regional spotlights on North America, Latin America, Europe and Asia to access complete results. Key insights include:
• Nearly 90% of respondents report measurable improvements in the speed of complaint resolution; 80% note enhanced call volume processing using AI
• 80% of respondents report measurable improvements in customer satisfaction, service delivery and contact center performance
• In North America, 60% of the respondents believe they will deliver a 10% or more increase in customer lifetime value in the next year
Using your desired number of seats, we have compared Adobe Acrobat Stardard CPL/TLP published pricing to Nuance volume pricing. Download this calculator to see how much you can save with Nuance PDF Converter Enterprise.
In the digital economy, data is becoming more interconnected every day. The volume of highly-connected data is growing rapidly, while also becoming a highly-valued corporate asset. By exploring relationships among people, processes and things, new business opportunities emerge, helping grow your business's competitive advantage.
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
To improve safety and mobility across its 5,600km road network, the City of Toronto forged a partnered with HERE Technologies for the provision of traffic, incident, and historical traffic data.
Access to this data allows the city authority to see exactly what’s happening on its roads and more easily and affectively run studies on improvement projects.
This case study details how HERE Technologies enabled the City of Toronto’s transportation team to:
Work smarter with comprehensive network coverage and accurate data to aid analysis
Examine the impact of city projects without significant forward planning or expenditure
Ensure travel volume models used to drive decision making are calibrated to represent real-world truths
For the typical enterprise, the volume of data that needs to be managed and protected is growing at roughly 40% per year. Add to that the performance requirements of new applications and the demands for instant response time, always-on availability, and anytime-anywhere access. With such demands, data center managers face storage challenges that cannot be addressed using traditional, spinning-disk technology.
Pour une entreprise type, le volume de données devant être gérées et protégées augmente d'environ 40 % par an. Ajoutez à cela les exigences de performances des nouvelles applications, de temps de réponse instantanés, de disponibilité continue et d'accès en tout lieu et en tout temps. Avec de telles exigences, les responsables des datacenters sont confrontés à des défis de stockage qui ne peuvent pas être relevés à l'aide de technologies de disques rotatifs traditionnelles.
In einem typischen Unternehmen steigt das Datenvolumen, das verwaltet und geschützt werden muss, um ca. 40 % pro Jahr. Dazu kommen die Performanceanforderungen neuer Anwendungen und der Wunsch nach kurzen Antwortzeiten, ständiger Verfügbarkeit und Zugri zu jeder Zeit und an jedem Ort. Diese Speicheranforderungen lassen sich nicht mit herkömmlicher Technik mit rotierenden Festplatten bewältigen.
When it comes to effectively and efficiently protecting growing volumes of data, midsized organizations face unique
challenges. That is because they live in a world of constraints that are both operational and budgetary in nature. Cloud
disaster recovery offers new options for these organizations—they can optimize their data protection economics by
integrating on-premises protection solutions with cloud-based backup and recovery methods. Dell EMC’s cloud-ready
solutions, particularly its Integrated Data Protection Appliances with native cloud extension capabilities, along with its Data
Protection Software working in conjunction with its Data Domain backup storage appliances, provide cloud disaster
recovery with flexible features. These solutions enhance operational efficiency and provide midsized organizations with
clear economic and operational benefits.
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
Modern storage arrays can’t compete on price without a range of data reduction
technologies that help reduce the overall total cost of ownership of external
storage. Unfortunately, there is no one single data reduction technology that fits
all data types and we see savings being made with both data deduplication and
compression, depending on the workload. Typically, OLTP-type data (databases)
work well with compression and can achieve between 2:1 and 3:1 reduction,
depending on the data itself. Deduplication works well with large volumes of
repeated data like virtual machines or virtual desktops, where many instances or
images are based off a similar “gold” master.
The next wave of cloud storage innovation is upon us. It’s called multicloud. With multicloud storage you can combine cloud simplicity with enterprise-grade reliability, provide data mobility among multiple cloud types, and eliminate vendor lock-in. And it’s available right now through the Nimble Cloud Volumes service.
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
Published By: Dell EMC
Published Date: Nov 03, 2016
IT managers are struggling to keep up with the “always available” demands of the business. Data growth and the nearly ubiquitous adoption of server virtualization among mid-market and enterprise organizations are increasing the cost and complexity of storage and data availability needs. This report documents ESG Lab testing of Dell EMC Storage SC Series with a focus on the value of enhanced Live Volume support that provides always-available access with great ease of use and economics.
Published By: Freshdesk
Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love.
In this whitepaper, we detail how you can
- Provide your agents with complete context by pulling data from your third party systems into your helpdesk
- Reduce ticket volume and help customers help themselves by setting up a knowledge base
- Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!
Published By: Commvault
Published Date: Jul 06, 2016
Think of a wildfire that quickly spreads as it increases in speed and power. That is what is happening today as data growth increases the volume and management complexity of storage, backup and recovery. Now think of trying to stop that fire with a garden hose. Your traditional backup and recovery process is equally under-equipped to manage and facilitate operations that need more speed, efficiency, scalability and reliability to handle today’s 24/7, always-on environment. Here we examine the benefits of moving from a solution comprised of multiple point products to a holistic data protection platform designed to serve today’s enterprise.