Continuous Intelligence Drives Smarter Business Decisions by Integrating RTA
Future proofing cloud and on-prem is based on real-time analysis of incoming data, coupled with historical data that provides valuable context, and enables organizations to be powered and informed by continuously enriched actionable insights.
Platforms today deliver real-time analysis of any data, whether at speed or at rest, providing firms with dynamic insights into what’s happening, right now. Advanced analytics and SQL querying of data enable users to derive insights, detect anomalies and automate responses – all in real-time. Continuously.
Today’s platforms are designed to natively leverage best-practice cloud standards, services and protocols for developing and operating business solutions.
- Units of functionality are delivered as microservices, self-contained units that can be quickly and easily orchestrated into applications, all benefiting automatically from the supporting scalability and fault-tolerance of the cloud
- Building upon open standards provides both portability across cloud environments and deployment robustness to support regular updates on a Continuous Development/Continuous Integration (CD/CI) paradigm
- Adopting cloud-native best practices for security, access control and messaging increases interoperability and simplifies integration, while standards-based logging and monitoring protocols simplify support and maintenance
RecordedJun 23 202138 mins
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Cloud has immense potential, but most companies are only scratching the surface. Recent research clarifies where the value lies—and how to capture it before competitors do
The cloud holds immense potential and tremendous value, but most companies are only scratching the surface; benefits don’t appear magically
Few are thinking about cloud as a driver of business transformation and a source of sustainable competitive advantage
The value of cloud transcends IT and is estimated at more than $1 trillion
Cloud requires a well-defined, value-oriented strategy and a coordinated execution by IT and businesses to realize full value
Success requires a cloud-ready business-technology operating model built around a product life cycle, which improves developer productivity, thereby accelerating product development
Companies with high cloud maturity exhibit different adoption mindsets vs. their peers. They are early adopters of cutting-edge technology, aggressively innovate, and view technology as a competitive differentiator and key enabler for launching and building new businesses
Patty Driever, IBM; Dave Peterson, Broadcom; Craig Carlson, Marvell Semiconductor; David Rodgers, Teledyne LeCroy
Fibre Channel (FC) is the storage networking protocol for enterprise data centers with over 142 million ports having been shipped. Fibre Channel is purpose built and engineered to meet the demands for enterprise data centers that require rock solid reliability, high performance, and scalability. In other words, Fibre Channel technology transports FC-SB-x, FCP, and FC-NVMe storage protocols natively.
This webcast explains how Fibre Channel is architected for unparalleled performance for storage protocols. If you are interested in this architecture, please join us to learn more on the Fibre Channel:
• Functional levels and components
• Physical model
• Communication models
• Interconnect topologies
• Classes of service
• General Fabric model
• Generic Services
This all leads to a future webcast where we’ll dive into:
• Building blocks and their hierarchy
o Frames, Sequences, Exchanges, Protocols
• Segmentation and reassembly
• Error detection and recovery
• Current enhancements e.g., Congestion Notifications
Michael McManus, Intel; Christopher Davidson, HPE; Torben Kling Petersen, HPE; Alex McDonald, SNIA CSTI Chair
The use of genomics in modern biology has revolutionized the speed of innovation for the discovery of medicines. The COVID pandemic response has quickened genetic research and driven the rapid development of vaccines. Genomics, however, requires a significant amount of compute and data storage to aid discovery. This session is for IT professionals who are faced with delivering and supporting IT solutions for the required compute and data storage for genomics workflows. It will feature viewpoints from both the bioinformatics and technology perspectives with a focus on some of these compute and data storage challenges.
We will discuss:
• How to best store and manage these large genomics datasets
• Methods for sharing these large datasets for collaborative analysis.
• Legal and ethical implications of storing shareable data in the cloud
• Transferring large data sets and the impact on storage and networking
Erin Farr, IBM; Vincent Hsu, IBM; Jim Fister, The Decision Place
Data gravity has pulled computing to the Edge and enabled significant advances in hybrid cloud deployments. The ability to run analytics from the datacenter to the Edge, where the data is created and lives, also creates new use cases for nearly every industry and company. However, this movement of compute to the Edge is not the only pattern to have emerged. How might these other use cases impact your storage strategy?
This interactive webcast by the SNIA CSTI will focus on the following topics:
• Emerging patterns of data movement and the use cases that drive them
• Cloud Bursting
• Federated Learning across the Edge and Hybrid Cloud
• Considerations for distributed cloud storage architectures to match these emerging patterns
Next generation edge computing applications will span from edge to core to public clouds. Setting up the compute infrastructure, various networks, and ultimately deploying and managing the applications manually will limit how quickly and cost effectively an enterprise can advance in their digital transformation efforts. In fact, with the expected scale of edge computing where there will be 10,000s if not 100,000s of edge sites, and 100s if not 1000s of application instances, automation will no longer be an option; it will be mandatory. In this talk, we will see how automation can reduce man-years of manual labor to just a few minutes. We will show a concrete example where automation is being used to set up a cloud edge site with the right applications and connected to relevant public cloud services with dozens of interim steps fully automated.
Sean Sadler, Head Of Information Technology, MWI Animal Health United Kingdom
Digital transformation is a journey, not a destination. Teams must be ready to course correct, again and again, as objectives evolve and their strategy matures. But to do this, organizations need digital capabilities and tools to improve user experience, increase the speed of execution, and continually reassess change management processes. While many organizations see the need to adopt technology to shift and improve how work gets done, few achieve success. How can automation and in particular intelligent automation enable enterprises to thrive, generate massive efficiency gains in the range of 20 to 60%, and significantly improve customer and employee experiences?
This Webinar will provide some useful hints on how automating tasks, can :
significantly reduce the overall process cycle and eliminate human error.
enable the team to focus more on strategy that drives business value.
drive improved operational efficiency, optimized business processes, and greater productivity across teams.
Dr. Hong Zhou, Director of AI Product & R&D, Atypon Systems LLC
Why automation with AI is needed in the Journal publishing domain
What are these automated services?
When have these happened?
How these are done?
Forecast for future automation in the era of digital transformation?
4 key pillars to enable successful digital transformation in publishing domain
The vast spread of computational storage use cases continues to raise. NGD Systems, a leader in computational storage drive will go over the journey of computational storage usage cases, starting from the obvious, the cloud, and heading into new expending territories of edge compute, low earth orbits small satellites to crypto currency plotting. All have once common thread of how can computational storage increases efficiency by reducing data movement.
The session covers how combining the power of cloud & edge computing with artificial intelligence will help with the adoption of flexible optimization strategies that focus on productivity, asset lifetime maximization or sustainability by capturing and automating the expertise of operators and deploying it at scale.
Need of Digital transformation
· Technology usage for Digital transformation
· Journey for Digital Transformation
· Stakeholders for Digital transformation
· Impact of Digital Transformation
o In Business
o In Human behaviour
o In Normal routine life
o In future workplace
o In Career continuity
· Few best of class example of Digital transformation
· Personal Experience and contribution towards Digital Transformation
Digital Transformation is pervasive and unpredictable: all of our data processing is influenced by IoT in many ways that are constantly expanding and changing. – thus requiring Functionality, Performance, Scalability and Efficiency to be considered from the very beginning. The end-goal is to have a system that meets or exceeds all the requirements and is ready for production use. In this presentation we will describe in detail the IoT impact on Digital Transformation such as data requirements, functionality of the system, efficiency, test results and the audit procedure. Can IoT power Digital Transformation by independently growing storage and compute while, at the same time, increasing the functionality? What about reliability? How future-proof is it? Does it support flexible deployment of S3 storage on-prem and in the cloud? Those and other questions will be addressed during the presentation.
29% of executives from companies with high digital maturity reported a positive impact on growth and innovation due to Digital Transformation efforts, while 41% emphasized the positive impact on sales and marketing, according to Deloitte. As companies aim to improve efficiency and lower costs, they’ll need to focus on their Digital Transformation efforts.
Emerging IoT technologies, trends in edge computing, and automation solutions are allowing companies to improve supply chain management, customer experience, employee experience, and more. Join this summit to get a deeper look into Digital Transformation and find out which trends and technologies to combine and invest in for the best results.
Join us and learn:
Upcoming trends in IoT, automation, and edge computing
Which technologies are worth investing in the coming year
How to combine and utilize technology driving your Digital Transformation strategy
Steve Van Lare, Anjuna; Anand Kashyap, Fortanix; Michael Hoard Intel
To counter the ever-increasing likelihood of catastrophic disruption and cost due to enterprise IT security threats, data center decision makers need to be vigilant in protecting their organization’s data. Confidential Computing is architected to provide security for data in use to meet this critical need for enterprises today.
This webcast provides insight into how data center, cloud and edge applications may easily benefit from cost-effective, real-world Confidential Computing solutions. This educational discussion will provide end-user examples, tips on how to assess systems before and after deployment, as well as key steps to complete along the journey to mitigate threat exposure. Presenting are Steve Van Lare (Anjuna), Anand Kashyap (Fortanix), and Michael Hoard (Intel), who will discuss:
· What would it take to build-your-own Confidential Computing solution?
· Emergence of easily deployable, cost-effective Confidential Computing solutions
· Real world usage examples and key technical, business and investment insights
The data governance landscape is constantly changing as policies and best practices are implemented to ensure data security, but the process of being future-ready in an accessible world poses a challenge. Join Steven Woodward and Kristin Curran during the Designing the Future-Proof Data Center 2021 Summit as they address the topics of data governance and the future in Cloud, geo-jurisdiction, standards, and culture. A relevant focus as the world continues through a global pandemic and privacy concerns due to economic shortcuts are of growing concern. Governance and the Next Generation will cover topics of:
- Understanding the current governance climate in a global capacity, including CDR, GDPR, and the CLOUD act, and GAIA-X
- Hurdles of compliance, and risk assessment across borders
- Tools and the cultural outlook to help organizations get from point A to point B in data security and compliance
Steven’s extensive work with international and regional standards and Kristin’s focus on culture will not only highlight the governance topics of today, but project a look into the future based on experience and research in to current trends and future tools.
Kaitki Agarwal, Founder and Chief Operating Officer, A5G Networks, Inc.
The Telecom industry has transformed significantly in the last 20 years. Every transformation has brought new ways of doing things, new services, and new lifestyles. It put a lot of technology in our hands and our life has become driven by devices and technologies. One may have felt, what we have in terms of communication is good enough, and that we don’t need many more changes in communication infrastructure; however, the recent pandemic has changed our perspective and we have started to think about use cases such as telehealth and remote surgery that people were not previously comfortable with. Similarly, the lack of in-person interaction and the onset of remote working and remote education enabled more use cases such as telepresence. A lot of these changes are here to stay. Another trend with FinTech and the desire to have control over our data and privacy is putting new requirements on the network.
With many of these applications requiring low latency, the network edge will be highly decentralized. The cloudification and decentralization will drive many changes in the rest of the network.
• Most of our network and application architectures today are centralized, meaning data is collected and processed in central locations. With edge and decentralization, this will go through a major transformation.
• We talk about the hybrid cloud and disaggregated/peer-to-peer services, but are our mobile network elements built to handle the new services and use cases and network demands?
• Autonomous networks are going to be a table stake in the future of the distributed/disaggregated networks.
• It will be a big mindset change for vendors, Enterprises, CSPs, and consumers in every segment.
Kristy Nelson, MBA/Paralegal E.G.S. Management Consult, Inc.
The evolution of data storage can be traced back to 1725 with the invention of punch-cards, leading to IBM’s floppy disk which was released in the 1970’s. This was soon replaced in the 1980’s from hard disk drives, upgraded to compact discs (CD’s); as we progressed with flash storage into the 20th century and beyond.
Data storage only got bigger and more complexed with the new emergence of technological offerings from vendors. The Data Storage sector was directly impacted by COVID-19 because of its greater economic reliance. There was positive affect from the pandemic that led to a new paradigm, from outlook to implementation. This new era of storage strategy will not only veer away from being immersed in technology but focus on the business needs to ensure its capacity for future scaling. Storage trends should assess new strategies to optimize performance while balancing costs and not hindering growth.
There are a variety of storage types but not all will continue to develop towards the new era. Organizations must also address their top IT concerns when transitioning to new technology storage. What are these concerns? Which data storage types can manage these concerns effectively?
This webinar will focus on the new era to discuss:
1) What is the new era of data storage strategies?
2) What storage types will continue to develop for consolidation and for best optimization?
3) How to address cost control?
4) What are the best Data Management practices going into this new era of data storage?
Data centers are facing the same challenges as businesses around the world and are continuing to adjust from the implications of Covid-19, accelerated Digital Transformation and the impact of emerging technologies.As a result, in 2021, Gartner predicts that global spending in data center infrastructure is expected to grow 6%.
In this BrightTALK Summit panel, we’re here to discuss what the key trends and changes driving this spend increase are, and what future-focused businesses should be thinking about in their 2021 data center strategies. From a greater emphasis on private clouds to increased sustainability initiatives, join this panel of experts to learn:
- The key data center predictions and trends in 2021
- How the pandemic has driven changes to the data center industry that are still being felt a year on
- How to navigate the changes and trends in 2021
- How increased compliance needs is impacting the data center
- And more
The ‘Data-Centric’ era is pushing change on data center architectures. The intersection of High Performance Computing (HPC), Cloud Computing and Artificial Intelligence (AI) applications mining big data has defined the 'Data-Centric' era for compute, storage and networking. Transporting and transforming massive amounts of data in real-time requires breakthroughs in computing systems, storage performance and network connectivity. The traditional approach of moving the data to the compute doesn't scale and can't deliver results in a timely manner. New technologies such as RDMA, NVMe and Distributed Computing Hardware using Parallel Software demand low latency and are created to address the need, however these new technologies put additional stress on the data center networks.
Cloud scale high performance computing services are effectively massive supercomputers, connected with a Performance Sensitive Network (PSN) that strives for the lowest possible latency. Latency that approaches the scale of an I/O or memory connected bus. To achieve these low latencies, the PSN needs to define new features for the Ethernet interconnect. Ethernet is the popular choice in computing and storage networks, but it still lags other custom technologies with respect to latency. This presentation will propose a number of new technologies for the Ethernet based Performance Sensitive Network. Many of the ideas are initially introduced here and some of the other ideas have been described by the IEEE 802 “Network Enhancements for the Next Decade” Industry Connections Activity.
Best practices for achieving Enterprise IT and operational efficiency.
The Enterprise Architecture channel presents the next generation of Enterprise IT: recognizing the strategic importance of digital transformation and the data center to make companies more nimble and competitive. These presentations will help demanding IT and BizOps professionals achieve flexibility, scalability and performance with reduced risk and complexity.
Continuous Intelligence Drives Smarter Business Decisions by Integrating RTABob Trevelyan, Vice President, Digital Transformation and Analytics, KX Systems[[ webcastStartDate * 1000 | amDateFormat: 'MMM D YYYY h:mm a' ]]38 mins