Digital Transformation: How to Reboot IT & Business Collaboration

Who is in the BrightTALK Enterprise Architecture community, what topics are of most importance to them, and what type of content do they prefer?

Join this webinar to learn:
- How the community has grown and evolved
- What topics are trending and which are declining
- What to look forward to in the rest of 2020

Starting from 1940-till date, Data Center boundaries were pushed, torn apart, automated, and rebuilt which resulted in the metamorphosis of the whole enterprise ecosystem.Learn more about the Data Center modernization, which is the best-of-the both worlds solution, for both legacy, and next-generation agile workloads.

For several years, artificial intelligence (AI) and machine learning (ML) have been trendy buzzwords in the data center industry, offering the promise of an automated data center that is more resilient with a lower operating cost. The reality is, most data center operators are still living in a reactive world; chasing down problems, issues, and putting out fires. We’re all hoping that predictive maintenance driven by AI/ML will change that, but this has become a longer journey than stakeholders first realized. The first step in this journey is to identify where your organization sits on the path of reactive, preventative, proactive, or predictive maintenance. The next step is to develop a plan for migrating towards predictive maintenance driven by AI/ML that will optimize your data center while improving resiliency.

This session covers the key hurdles you’ll experience on this journey. We will present examples on how to achieve higher levels of optimization and resiliency by utilizing real-time monitoring that infuses predictive tools driven by AI/ML. We will also provide the game plan and C-level decision criteria you’ll need to obtain approvals and lead your organization though this journey.

There is clear evidence that the presence of COVID-19 has disrupted the technology industry. Pre-COVID, technology was relied upon now it is the core focus of our personal and business livelihoods. If you were not tech savvy, this disruption forced you to adapt and use it.
The business sector faced challenges in adjusting how to maneuver their operations in the management of data storage. Data Centers were not immune in facing the task relating to the increase in demand, retrieval of data collected and stored. With the emergence of cloud storage, data centers can seize the opportunity to convert to hyperscale operations. This gives them the capability to scale exponentially and align with the pace of their new virtual, business form of operations. What is the benefit? Modularity wherein they can strategically plan their data centers according to the needs of their organization. This enables the modernization to redefine and amend data centers; according to market trends to keep their infrastructure current to remain competitive. Risk management plays a vital role with the emergence of updating and scaling data centers. The increase in usage creates traffic that requires a constant monitoring approach to oversee new implementation of strategies. This presentation will discuss the following:
1. What are the current trends facing data centers during pre and during COVID-19?
2. As a result of this disruption, what is the future out-look of data center operations?
3. What are the environmental trends of data centers and their outlook?
4. Risk management of the new processes of data centers for optimization.

A view from an experienced professional who has guided many large Enterprise and global Telco’s through their Data Centre transformations. Understand the pitfalls and the successes in a real-world scenario. Find out the reasons for embarking on this necessary but sometimes treacherous journey. This presentation will explain the economic validity of data centre modernisation. Taking a look at the future of the data centre, how it will evolve and what will be its final manifestation.

Innovation in computer hardware is driven by the application of knowledge in physics. The progress to understand matter leads to new technologies for our data centers.

But this is a non-linear process. Breakthroughs were ignited e.g. with the development of integrated circuits, leveraging the understanding of the behavior of semiconductors on a microscopic level.

Now we have got aware of quantum physics as a game of information. This means radical break-throughs for our computer systems both, for hardware and software, since information is physical!

Commonly understood is the fact of a classical bit, manifested as electrical potential between atoms and electrons instead of electrical currents, which provided us with non-volatile memory modules.

Lately, our attention focused on the change of information within microscopic circuits themselves, which provides us with qubits, so called quantum bits.

Since qubits represent pure information, we can implement them in our way to calculate from the beginning, not only in native quantum computers, but also with a novel technology,

the hybrid quantum computer. This talk will get you acquainted with this new kind of computer architecture and demonstrate first implementations.

In 2025, so the prediction of George Gesek, every high performance data center will run on nothing but hybrid quantum computers!

Xilinx is deeply involved in several computational storage products with a range of partners.  From this vantage point we have identified the common elements of workloads that map well to
Computations Storage Drives (CSDs), Computational Storage Processors (CSPs), and Computational Storage Arrays (CSAs).  The properties of these workloads will be outlined with brief examples. 

There is a growing effort to standardize the programming and deployment interfaces for computational storage and the programming interface (api) of Xilinx computational storage platforms will be covered with some discussion of extending computational storage over a fabric.

How Makoro™ recommendations leverage IoT and 5G to accelerate the journey of asset manufacturers, owners and operators to faster ROI.

Key takeaways from this presentation:
- How hybrid IT will be operating in on-premises, cloud, edge, colocation or managed hosting
- How data centers are shifting towards business-driven business models
- Is automation still a nice-to-have?
- How relevant will asset inventory of infrastructure products, people, processes and providers become?
- Understanding resiliency and data governance for vertical markets
- What about 5G hype?


Dr. Arefzadeh has over 20 years’ experience in the IT, Telecommunication, and TV Broadcast industries, serving in a variety of CISO, CTO, and principal engineering roles for numerous multinational corporations, such as Granite and Ericsson.

Dr. Arefzadeh has also helped launch several German tech start-ups and was responsible for Dimetis’ products in Broadcast OSS for distribution and contribution networks and grew the company size nearly tenfold in 6 years while multiplying the revenue.

Dr. Arefzadeh is a published author and a featured speaker at leading industry events such Telco Cloud Forum, Digital Transformation World, 5G World, Blockchain East, and Broadband Forum on topics such as AI, Blockchain, IoT, and Next Generation Networks and Systems.

Resiliency and availability are two key words when it comes to data centre communications. No matter if you are operating a local or Co-Lo data centre, businesses will always want a solution that covers them both.

As UK Connect’ Technical Consultant I will share my thoughts and knowledge on 4G, 5G and IoT networks. Not only that, but some key insights on how the construction industry has utilised this mobile broadband infrastructure.

The Internet of Things that use sensors to capture data with embedded information exchange capability promotes newer technological value creation. Conventional IoT may comprise computing devices, finite state machines, objects, or biological beings. In the age of big data, IoT opens up a new world of data sources and motivates Intelligent Data Analytics.

The heterogeneity of things mostly resembles the human body where the set of interconnected separate organs with individual functioning and communication capabilities serves a vital purpose. With this regard, adoption of relevant technologies along with Adaptive Software development methodologies may create strong premises for organic systems construction. Here, in order to resolve issues in intelligence, security and governance of intelligent IoT, the whole network of Things may be enhanced to the Internet of self-organized and collaborative computing agents.

For the purpose, the following concepts in Computing science should emerge:

• Multi-agent cognitive systems
• Information integration to serve a targeted purpose
• Predicate logic to govern deductive agents
• Semantic graph to model the enhanced IoT

Many elements of infrastructure have the capability to adapt with principles such as scale on demand. Networks have generally stayed static due to their complexity and fixed nature of the underlay provider and the ability to perform consistent rapid change.

In recent times Artificial Intelligence has been integrated in almost all elements of information and communication technologies with the use of machine learning and deep learning becoming quite commonly applied in various day to day applications.

The majority of network components produce large amount of raw data much of which currently is ignored or discarded in favour on focusing on availability and key performance metrics.

Machine learning algorithms have been developed for communication networks to be applied to fundamental problems in networking, including traffic prediction, routing and classification, congestion control, resource, fault management, QoS and QoE management and network security.
Software defined networks (SDN) provide the ability to program network configuration through the use of open standards and DevOps tools such as Terraform and Ansible. Central orchestration engines provides the ability to deploy configuration to the edge through a controlled and consistent method.

So, we have the building blocks for an adaptable network, driven by metrics provided on a real or near real time basis.

Key Takeaways will be:

• Generation of real time metrics to provide insight in the performance of a network for end user
experience
• Consumption of metrics to be processed by the appropriate machine learning algorithm with
validation of learning by network professionals
• Dynamic configuration of networks through programmatic interface centrally orchestrated
• An iterative programmatic approach to continually change with appropriate lag to continually adapt to the needs of the business applications and introduction of new services

Disaggregated data storage allows for more flexible and cost-effective resource allocation. Using conventional storage servers is not taking advantage of the latest technology and adds unnecessary hardware, performance bottlenecks, power consumption and cost compared to a modern switch fabric. We’ll be discussing various types of innovative novel approaches including different strategies for NVMeoE, Direct Attached Storage over Fibre Channel (DASoFC) and their advantage in different environments. Finally, managing the deluge of data within a switch fabric is becoming an overwhelming challenge that needs to be addressed by dedicated Data Processing Units (DPUs) to streamline communication and data access between storage and processing units.
Key points:
• Server bottlenecks
• Disaggregating storage via NVMeoE and DASoFC
• Managing the deluge of data through DPUs

Presenters: Michael Schuette, Ph.D., Co-Founder and CTO, DataSecure LLC.
Eric Garrison, Customer Engineer, VCP-DCV and vExpert 2020, Atto
Bojian Wang, Principal Solution Architect, Fungible
Shahar Noy, Sr. Director of Product Marketing and Data Center Storage Solutions, Marvell

Systems and storage are evolving, with a new category of products called Computational Storage Devices emerging to alleviate problems with database performance bottlenecks and the costs of ever-growing datasets.

Do you need to modify your database to capitalize on this emerging class of storage?
What advantages can you get without code changes?
Can using “wasteful” data structures actually reduce storage footprint while improving performance?

Join us as we answer these questions and provide examples of benefits you can see today and in the near future through combining Computational Storage with Database operations.

With the growth of data generation at the Edge and need to get value from that data quickly, the market has run into a hurdle on how to get enough compute and processing with the available space, power and budget. The ability to deploy compute resources within the storage devices with Computational Storage is key to the growth of this market.

This presentation will discuss the deployment of small form factor, asic-based, solutions that bring value to end customers and platform developers. Including a specific use case to be showcased.

The variety of architectures, use-cases and workloads to be managed by Data Center appliances is increasing. It is driving a need for storage and compute disaggregation, while at the same time forcing IT pros to simplify Data Center management and move to hyper-converged infrastructure. However the HCI approach results in siloing of storage that leads to capacity waste and scalability issue. This presentation describes how Kalray’s fully programmable Smart Storage adapter leverages NVMe-oF technology to offload servers from heavy storage disaggregation task, and pave the way toward a fully Composable Infrastructure.

In our digitally focussed world, we constantly hear about how data is the new oil and how it has become a crucial data asset. Yet many of us still do not have a strategy that focusses on our data and ensuring we get the best from it. In this session we will look at why it’s crucial to have a data strategy in todays modern business, what we need to consider and how we build a platform that is appropriate to meet our data demands. A strategy that is centred upon our data and not restricted by our location, technology or working practices. For those businesses who want to be the successes of tomorrow, data will be at the core of that success, but without a data centric strategy you have already conceded ground to your competition, where’s yours?

Why do we need enhanced error recovery? And, how does it work? In this webcast we explore the fact that “bit errors happen” and how that occurs. We also do a deep dive into the mechanism of the enhanced error recovery added to FC-NVMe-2. Join FCIA experts as they guide you through the intricacies of error detection and recovery to provide the most reliable NVMe over Fibre Channel deployment possible.