Operational risk is perhaps the most significant risk organizations face. Virtually every major loss that has taken place during the past 30 years, from Enron, Worldcom and Baring's Bank to the unauthorized trading incident at Société Générale and the subprime credit crisis, has been driven by operational failures.
Many financial institutions have spent millions of dollars trying to develop a robust framework for measuring and managing operational risk. Yet, in spite of this huge investment, for many firms developing a viable operational risk management (ORM) program remains an elusive goal.
This webinar is designed for both current students of the “Mastering Operational Risk” - http://www.globalriskacademy.com/p/orm online course and for other busy risk professionals who are interested in studying both theoretical and practical application of ORM but don’t have time to attend in-person classes.
The webinar is organized in cooperation between Global Risk Academy and RISKID – a provider of a modern collaboration Risk management Tool.
The goal is three-fold:
1. Existing students will be able to understand more on how to work with the RISKID tool and get an opportunity to ask questions about the subject matter.
2. People who are planning to join the course will get some explanation in what is the course about, how the e-learning system works.
3. People who are just interested to know more about ORM
Watch and learn how EMC is helping companies increase operational efficiency and achieving real business value.Read more >
This webinar explores the convergence of Operational and Information technology as one of the key benefits of the Internet of Things; and how to use this convergence as a way to build a new generatin of integrated digital supply chains which are the base of Industry 4.0.
This webinar will cover the following topics:
* Industry 4.0 and IoT Trends
* Higher efficiency and productivity through end to end integrated digital supply chains
* New business opportunities for all players in the manufacturing supply chain
* Real life examples on industrial process improvements through the use of IoT
About the speaker: Jimmy Garcia-Meza is the co-founder and CEO of CloudPlugs Inc. He has over 20 years of experience running startups and large divisions in private and public U.S. multinational companies. He co-founded nubisio, Inc. a cloud storage company acquired by Bain Capital. He was CEO of FilesX, a backup software company acquired by IBM. He held various executive positions at Silicon Image (SIMG) where he was responsible for driving the world-wide adoption of HDMI. He was a venture director at Index Ventures and held several executive positions at Sun Microsystems where he has in charge of a $1.7B global line of business.
As has often been reported, human error is one of the largest factors in data center outages. Since estimates of the average cost of an outage now exceed $740,000, the ability to reduce or eliminate man-caused outages can make a substantial impact on the organization’s bottom line. In this presentation, Jose Ruiz, VP of Engineering Operations for Compass Datacenters, will present a case study on how the introduction of wearable technology has enhanced one customer’s operational performance substantially.Read more >
Learn how to implement operational analytics in NoSQL environmentsRead more >
Organizational Intelligence series
This webcast will combine industry research with actual case studies to illustrate how organizations are:
- Increasing analytic deployment to operationalize decision making and monetize data assets.
- Expanding governance strategies to incorporate data, analytics and user requirements.
- Finding the shortest paths to analytic ROI.
Get ready for 2017 with relevant concepts and examples.
In this webcast, learn the top 5 IoT use cases of Datameer customersRead more >
NSX network virtualization represents a major advancement in helping organizations realize the benefits of speed, agility, and security. Enterprises are using VMware NSX to achieve game-changing operational advantages. In this webinar we will cover the NSX Operations Maturity Model that spans across people, process, and tooling – including general operational guidance and best practices based on real world implementations. This unique webinar is ideal for IT executives and managers who want to understand what it takes to operationalize NSX. It is also useful for networking and security professionals in architecture, engineering, and admin/ops who will participate in operationalizing NSX for their organization.
In this webcast, you will:
- Gain a basic understanding of the NSX Operations Maturity Model and what it takes to successfully operationalize NSX across people, process, and tooling.
- Learn about the real-life best practices customers are using to operationalize NSX, as well as the resources and services VMware offers to help you on this journey.
- Learn how to approach your transformational journey gradually, by starting small and taking incremental steps towards a more mature end state.
Es el momento de replantearse la forma en la que abordamos los eventos. En lugar de considerarlos como simples operaciones de bases de datos o transacciones, pensemos en ellos en su contexto. ¿Cómo afectan a los clientes, proveedores y usuarios? ¿Cuáles son las consecuencias si los eventos fallan?
Operational Intelligence complementa al Business Intelligence, aportando inteligencia operativa en tiempo real. De este modo las acciones pasan a ser proactivas en lugar de reactivas, y se traslada a los usuarios la información que necesitan, cuando la necesitan.
Each day, with every customer transaction, employee task and business process, companies generate vast amounts of operational data that provides leaders and managers with insight into what is working well and what requires attention. Operational data is particularly important to those responsible for stewarding the information and technology assets of their organization.
In this context, operational data is particularly important to IT, which is why it is so critical to understand the three different types of operational data on which IT leaders rely.
Business operational data is all about the business processes and user experiences, which IT enables with the technology and services it provides. The reason organizations invest in technology is to improve the productivity and effectiveness of business operations. Process and user-related data evaluated over time provides a contextual picture into how effectively the technology is achieving that goal.
IT operational data is concerned with the content of “what” technology components are operating and being used. IT operational data is important as a part of the IT planning process to understand capacity utilization and determine where scalability constraints exist, as well as to understand the cost of services provided to users and to assess security and risk considerations of the business-technology ecosystem. Within IT service management processes, operational data is critical to ensure performance and availability Service Levels Agreements (SLAs) are honored, and to drive technology cost reduction through infrastructure optimization.
Operational data provides IT with the critical picture it needs to understand and optimize the role it plays in the context of the company.
Throughout history, business has always struggled with the challenge of data accuracy and integrity. Executives constantly ask their IT leaders how they can improve the quality and integrity of data in order to obtain the insights needed to guide their company effectively. While it sounds reasonable, it may well be the wrong question. Rather than focusing on the quality of raw data, a better approach is to focus on the quality of insights available and the speed/cost to obtain them by asking, “How can we better leverage the data we already have to cost effectively obtain the insights we need?”
Advances in machine learning, data science and correlation analysis during the past decade have enabled a broader range of capabilities to analyze data from disparate operational processes and information systems. This has been accomplished without developing some of the structured relationships and incurring data-model-integration costs associated with traditional data warehousing and reporting approaches
Through assessment of the trends and relationships between different data elements, modern data analysis systems are able to “discover” a variety of insights that may not have been available during the past. Examples include undocumented dependencies within operational processes, sources of data inaccuracy and the evolution of operational processes during time. Instead of focusing on what is “known” about operational data, modern methods focus on understanding what is “unknown” about operational data.
Is data integrity the key to operational insights or is it the elephant in the room? That depends on how organizations want to view the situation. Data Integrity at both the informational and operational level is a core requirement of any modern business, and has been an area of focus for Blazent since the early days of Big Data.
IT organizations have struggled for years to move beyond monitoring of technology components and measure the performance of business processes, services and end user experiences. Operational Technology (OT) and the Internet of Things (IoT) provide a unique opportunity for service management professionals to embed sensors, collectors and instrumentation capabilities directly into the interactions between users and IT Systems. This webinar will provide an overview of the use of OT and IoT in the IT monitoring context, some management considerations and a look forward at how these capabilities are expected to evolve over the next 2-3 years.Read more >
So often, transformation programs set out to deliver dramatic improvements in operational efficiency. Yet these programs commonly fail to connect the world of outside-in design thinking and customer experience, with the operational excellence required for cost reduction. Executives often feel they can just dictate the result and then hold managers accountable for the benefits.
Join Derek Miers, industry analyst from MWD Advisors as he discusses why transformation success relies on:
•Engaging your people including three fundamental phases of engagement needed to create the conditions for long-term transformation success
•How to focus and configure core business components to serve multiple customer segments and experiences
•Enabling innovation at the edges industrializing both the core business elements and the outcomes delivered to customers.
•Reinventing how you deliver value is the why; digital transformation becomes how the organization innovates.
Who should attend: Digital Technology Leaders, Application Development Leaders, IT and Business Process Professionals.
The increased interest and adoption of single use systems (SUS) or disposables require that organizations rethink their operational business processes and the design and configuration of manufacturing execution systems (MES). Drawing from their previous experience implementing MES and SUS for biologics manufacturing, the authors discuss the key areas of impact of SUS on operational technology, outline new user requirements, and propose practical solutions for successful MES implementation.Read more >
In this video, we discuss pitfalls to avoid when consolidating IT and Operational Technologies
A key technology convergence impacting the mainstream adoption of the Internet-of-Things (IoT) is the coming together of Information Technology (IT) and Operational Technology (OT).
Below we explore five potential pitfalls to avoid when considering unified IT and OT:
1.Visibility: Improving visibility across unified IT/OT infrastructure has some benefits such as enabling a single service desk to handle both IT and OT domains, and being able to use common management tools.
2.Security: We have discussed how operational technology can create a risk for IT. There is, however, an upside of converging IT and OT. The converged technology infrastructure can be subject to the same security policies and can use common compliance controls.
3.Scalability: By operating OT and IT in separate silos, you miss out on opportunities to procure complimentary technology for both. Purchasing can negotiate better discounts if they are buying technology in high volumes and IT gets to buy IT and OT technology that works together because it can be pre-integrated.
4.Administration: By keeping IT and OT separated, an organization cannot benefit from being able to lower administration costs through streamlining and centralizing management.
5.Collaboration: Higher up the food chain, since OT is normally more closely aligned with how the business makes money, a converged IT and OT solution can improve the partnership between business and IT.
Blazent focuses on providing near real-time insights that can be gained by being able to ingest and analyze large numbers of IT and IoT data streams, correcting data gaps and inconsistencies before the data is consumed.
Join Platform9 and Datera to learn how their software solutions can provide the DevOps agility, and operational simplicity of the cloud for containers. Mainstream adoption of stateful applications have been foundational for containerized applications to get widely deployed.
With Datera Elastic Data Fabric and Platform9 Managed Kubernetes, customers can manage any application on Containers.
You will learn:
How to automate provisioning
How this solution simplifies operations and management
How to save costs with elasticity
451 Research’s Andy Lawrence and RF Code’s Peter Kazmir engage in a thought-provoking discussion of the impact of real-time, wire-free solutions on data center asset lifecycle management and environmental monitoring, and the ways in which they vastly improve data center management and operational efficiency.Read more >
Data center uptime is more critical than ever as more and more business processes are digitized. Having a sound foundation starts with having a solid and reliable data center in which to deploy your IT infrastructure. The data shows that how a data center is run and managed is the single biggest contributor to uptime.
Join 451 Research Senior Analyst, Dan Thompson, and Kelly Sullivan, VP Global Data Center Operations at CenturyLink for a dialog on how operational excellence is put into practice and has become a core of the organizational culture at CenturyLink.
Hear real-world experience and insight derived from managing a global fleet of 57 data centers and how the Uptime Institute Management and Operations Stamp of Approval program helped them raise their game through a regiment of continual improvement.