Webinars

Webinars

  • Digital transformation at the edge

    Edge is not a new idea but exploiting the edge effectively does require some new thinking some of which is counter-intuitive in the modern cloud centric world in which we operate. 5G is going to unleash a whole new wave of possibilities around remote devices and as IT functions we are going to be under more and more pressure to deliver on the promise. We need to get our houses in order and build a platform that will act as a springboard and not pitch us flat on our faces. Tune into this webinar presented by expert Simon Ratcliffe, as he examines edge computing across a variety of environments and discusses how to build a stable, secure and manageable edge environment that can form the foundation for transformational change within organizations. Read More

  • Digital transformation at the edge in 2023

    Edge is not a new idea but exploiting the edge effectively does require some new thinking some of which is counter-intuitive in the modern cloud centric world in which we operate. 5G is going to unleash a whole new wave of possibilities around remote devices and as IT functions we are going to be under more and more pressure to deliver on the promise. We need to get our houses in order and build a platform that will act as a springboard and not pitch us flat on our faces. Tune into this webinar presented by expert Simon Ratcliffe, as he examines edge computing across a variety of environments and discusses how to build a stable, secure and manageable edge environment that can form the foundation for transformational change within organizations. Read More

  • Beyond the edge

    For use cases involving devices connecting to mobile networks, the edge cannot exist on its own and needs support within the core network to deliver on its potential. The traffic to the edge needs requires specific treatment to ensure optimal routing and quality of service for example. Next to that, many use cases in mobile networks involving the edge are expected to involve multiple networks because they need to reach a larger user base and/or because of the users mobility. The GSMA and its operator and industry members have created initiatives to make using the edge in mobile networks as simple as possible. This involves a federated platform architecture that allows exposing the required capabilities of all operators involved in the federation as services through entry points that each of those operators could offer to their enterprise customers, alignment on the APIs offered and on the models for offering those. This architecture will now be used also to offer other, non-edge-related services that may be of use to enterprise customers. About the speakers: Mark Cornall has been with GSMA for One year as a Technical Director. He has been focusing on the federation of APIs and work within GSMA’s Operator Platform Group. Prior to this he worked for Vodafone Group studying public and private MEC and as technical lead in the deployment of AWS Wavelength into the Vodafone Networks. Within Vodafone he has held a number of earlier technical roles focusing on Video and TCP optimisation, the “Enjoy More” program and performance management. Tom van Pelt has been with the GSMA as a Technical Director for over 10 years. Within the GSMA, Tom has been driving and contributing to the specification and interoperability work on RCS messaging and since 2019, he’s also involved in the work on Operator Platform and telco edge cloud. Tom is acting as the director of the GSMA’s Operator Platform Group. Read More

  • How Edge can be an enabler of IIoT and AI scalability

    The use of IIoT and IIoT devices can help manage water networks, energy, smart grids and mobility. Edge processing can provide the key features for successful IoT at scale, tackling the needs of reliability, quality, low-energy, adoption and cybersecurity. For instance, dedicated IoT architecture and algorithms at the nearest sensors allow for reliable IoT that can manage, digitalize and automatize a water network. However, this requires companies to have the dedicated development and knowledge for such applications. Tune into webinar presented by Lacroix's Stephane Gervais and Nicolas Guilbaud as they introduce the notion of “smart data,” processed data from the edge that can help steer decision making. This presentation will also address cybersecurity, its importance, and some implementations to reduce the complexity for end professional users. Read More

  • Using AIOps: Reducing MTTR in production environments

    This session will cover real world product problems that can be solved with AIOps solutions in real time. The coverage of AIOps as a platform will be discussed to include when and where to use it, why you should use it and the benefits it can bring to you beyond traditional FCAPS solutions. The brief coverage of AIOps will be followed up by common problems found in production environments and how older antiquated tools to not allow for more efficient workflows. How to reduce noise, increase the compression rate, lower MTTR and more common requirements for today's busy Ops Centers will be discussed. The last part of the session will cover the evolution of AIOps to include staff training, the use of automation, AI/ML, webhooks, deduplication, setting up actions in tools such as ServiceNow, setting up workflows for response and more. Key takeaways: - Overview of AIOps concepts and requirements. - Coverage of real-world problems solved with AIOps. - Evolution of AIOps (today and future). - How to reduce noise, increase efficiency. - How to get AI/ML to work for you and reduce overhead. - How to use AIOps to reduce MTTR. - Using AIOps in crisis situations. Read More

  • Using AIOps to scale and control costs of enterprise data

    The latest mission critical complex IT environment for enterprises is their data architecture. This session will cover how AIOps concepts are being applied to today's complex modern data architectures. How is AIOps being embedded in Data Observability platforms today? How are those platforms helping DataOps teams eliminate operational blind spots while increasing proactive optimization and cost intelligence around cloud based architectures? How do business leader close the data talent gap using these platform and DataOps? About the speakers: Bill Lloyd has over 25 years of experience in design, development and management of data and analytic programs. As a Managing Director in the AI & Data Operations practice, Bill leads our Delivery Transformation and Quality, and has served as overall program lead on dozens of critical data and analytics programs for global Fortune 100 organizations across industries. His responsibilities include developing our end-to-end strategy as it relates to bringing our Deloitte solutions to the market as a managed service, and leveraging AI and intelligent automation to bring greater value to our clients. Greg Lato has over 25 years’ experience partnering with enterprises clients to address their business challenges. With the last 8 years focused on data, he has seen the explosive growth of using data to drive business outcomes and the corresponding increase in complexity of the IT Systems that are required to process that data. At Acceldata he focuses on driving efficiency and automation across this complex environment for the enterprise data operations team using Data Observability. Read More

  • What is AIOps: Why, When to use and implement AIOps

    What is AIOps and why should we use it? When is it appropriate to use AIOps and how do we implement it? AIOps may be viewed as the application of machine learning analytics- platforms that utilize big data, modern machine learning and other advanced analytics technologies to enhance IT operations. These platforms allow concurrent use of multiple data from varied data sources, providing proactive, personal and dynamic insight. Using and implementing AIOps requires an understanding of the fundamental essence of what AIOps can do in real time. This presentation covers the core components of AIOps, specific use cases of when to use it, and how you can implement AIOps. The first section covers key components of AIOps, the “what” question. It includes: 1. Engaging-historical analysis, anamoly detection, performance analysis, predictive insights, correlation and contextualization 2. Automating-automated root cause analysis, optimization suggestions, and task automation 3. Monitoring-historical data, real-time data, and decision-making insights The second section covers “why” and “when” to deploy AIOps. AIOps use cases presented in this session cover three core outcomes intrinsic to IT operations: 1. Leveraging AIOps capabilities to detect, diagnose, and resolve incidents faster with a clear outcome to decrease mean time to recovery (MTTR) 2. Proactive performance monitoring, preventing problems with actionable alerts that identify anamolies with a clear outcome to improve operational efficiencies and overall health of the business. 3. Surface insights to drive better and faster decision making, using machine learning technologies. Read More

  • The FAIR data movement and data protection

    Tired of data sprawl, not knowing where your company's data is, or how to reduce data mismanagement risk? You may not know it, but encouraging your leadership to focus on FAIR (findable, accessible, interoperable and reusable) data can provide a push so that the company finally gets its arms around the data problem. How so? To realize the promise of FAIR data, companies must be data mature. They must adopt data-centric architecture and the FAIR reusability principles. When they do, the data they need will be linked and self-describing. The data when queried will tell you where it is. A desiloed, semantic graph data abstraction--the only feasible means behind creating FAIR data at this point--is not only the means to data discovery, but also a path to model-driven development and data sharing at scale, both of which will break an organization's habit of duplicating data and logic. This talk will highlight fresh enterprise case studies that are starting to realize the dream of FAIR data, as well as how these companies are succeeding: - Zero copy integration: How to think about eliminating data duplication and stop the application buying binge that only exacerbates the problem. - Dynamic, unified data model: Standard graphs provide a means of modeling once, use anywhere, for conceptual, logical and physical purposes all at once. - Persuasion and teamwork: The graph approach provides an ideal way to loop business units and domain experts in and empower them to recommend model changes that are easily implemented. The whole process is bringing enterprises like Walmart, Uber, Goldman Sachs and Nokia into the age of contextual computing. Learn how to be a fast follower by thinking big, but starting small.. Read More

  • Harmonizing business needs for data with data protection

    Harmonizing business needs for data with IT and governance requirements is an essential topic for every business, large or small. Data privacy and enforcement must collaborate at the speed of the customer, which means companies need to be agile and risk-averse. How can we achieve that balance, particularly when the CISO is worried about two audiences: everyone who works for the company and everyone who doesn't? So how can we harmonize the business's urgent need for data while also ensuring that we fulfill our guardianship role? Tune into this session from BI and AI Thought Leader Jennifer Stirrup as she examines whether the guardianship of data should fall to IT, governance, and security. She will also look at how companies can support data scientists, data owners, and governance teams to collaborate to deliver at the speed of the customer. Finally, the session will explore how companies can keep abreast of their data protection responsibilities in a changing, global world. About the speaker: Jennifer Stirrup is the Founder and CEO of Data Relish, a UK-based AI and Business Intelligence leadership boutique consultancy delivering data strategy and business-focused solutions. Jen is a recognized leading authority in AI and Business Intelligence Leadership, a Fortune 100 global speaker, and has been named as one of the Top 50 Global Data Visionaries, one of the Top Data Scientists to follow on Twitter and one of the most influential Top 50 Women in Technology worldwide. Jen has clients in 24 countries in 5 continents, and her client list includes Microsoft, the NHS, the UK and Northern Ireland Governments, The Ashridge Hult Business School, CBS Interactive, O'Reilly and Virgin Atlantic. Read More

  • The State of Data Security: The Human Impact of Cybercrime

    Over one-third of organizations had a leadership change in the last year due to a cyberattack and its follow-on response*. That’s one of the several alarming findings from Rubrik Zero Labs’s inaugural report, “The State of Data Security: The Human Impact of Cybercrime,” which examines how the constant threat of cyber attacks is affecting organizations and the people charged with protecting them. What You'll Learn -> How cybercrime affects their organizations -> It’s impact on their IT and security teams -> The challenges they face in their own organizations and beyond Join this webinar to learn more from this in-depth global study commissioned by Rubrik and conducted by Wakefield Research. *Source: Rubrik Zero Labs, “The State of Data Security:The Human Impact of Cybercrime”. Rubrik.com, 4 November 2022, https://www.rubrik.com/zero-labs. Read More