Name: How to Create Next-Generation Applications & Deploy Big Data Technology Faster
Start: 2017-01-26T19:00:00Z
End: 2017-01-26T19:45:59.000Z
Location: BrightTALK
Rating: 4

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.

In the IT industry we are eager to talk about #Tech4Good -- how our systems help deliver improved environmental, social and economic outcomes. We use these examples as ways to improve our ESG reputation and ratings. We can show case studies of how IT contributes to achieving each of the United Nations Sustainable Development Goals (SDGs).

We are much less keen to discuss #Tech4Bad - how our IT is causing harm to planet, people, and yes, to profit. This can be through the pollution associated with our IT equipment, through the carbon emissions from customer use of our services (Scope 3) and through negative impacts of applications on individuals and society. 

As a business or IT leader you need to assess and mitigate the risk that your systems pose to ecosystems, well-being and shareholder value.  In this session you will:
•        Learn about frameworks for assessing the impacts of IT on sustainability.
•        Hear examples of #Tech4Bad and their effects.
•        Start the process of mitigating your IT impacts and protecting your ESG ratings.

#Tech4Bad: Are you putting your ESG reputation at risk?

As ESG and CSR strategies begin getting deployed across organisations, IT teams are being given objectives around reducing their greenhouse gas emissions.  

The impact of digital services is extremely tangible. For instance, producing equipment requires the extraction of raw materials and is energy-intensive across production, usage and end-of-life. As we work towards our sustainability goals, it's never been more important for IT teams to have a solid grasp of their environmental impacts and to develop new strategies and processes to secure a greener future. 

In this session, join Lorraine Le Baud (IT sustainability expert at Infogreen Factory) as she explores:  
- The environmental and social impacts of IT 
- Approaches to assess your team’s maturity with regards to sustainable IT processes and usages. We will go beyond the carbon footprint and propose a 360° diagnostic, addressing the maturity of IT buying processes, eco-design processes, IT competencies and governance. 
- Key deliverables associated to diagnostics, such as the stakeholders mapping, the materiality matrix devoted to IT stakes, diagnostic tools 
- A conclusion to open to the Green IT roadmap construction approach.

About the speaker:
Lorraine has more than 20 years of experience working in consulting companies such as Accenture and Deloitte. Shre also work as an IT director of an international oil & gas company. 

She has developed an expertise in IT sustainability since 2019 and has recently graduated a master degree in circular economy, with a specialisation in digital devices refurbishing processes

IT sustainability: Build a roadmap towards a greener future

We are in a new era where organizations need to care about environmental sustainability in a way they never have before. But it takes collaboration, strategy, and knowledge in order for business and IT leaders to make sure they are doing their part.  

Rajeev Pai, Director of Technology Strategy & Transformation at Deloitte, is delivering this presentation to help you better understand the benefits of sustainable IT through the enterprise architecture lens and gain the insights you need to embark on the journey in a way that makes the most sense for your organization. You will see why sustainable IT is while good for the environment is also great for business and for the enterprise. 

In this webinar, attendees will explore:  
- What exactly is sustainable IT?
- How it enables a sustainable enterprise/business.
- A key set of principles across each architecture domain enabling enterprises to begin the journey towards sustainable IT.
- A practical starting point for CTO to begin the IT sustainability journey.
- Learnings and good practices on IT sustainability from the frontline.

About the speaker:
Rajeev is a leader in the space of Technology Consulting & Transformation with over 20 years of experience across the globe in the financial services industry, helping business leaders navigate change. He combines deep domain expertise in Capital Markets F2B Processes and Banking to provide thought leadership and tailored advise while challenging business leaders to achieve their vision. He is an AWS Certified Solutions Architect experienced in large scale System Integration, Platform Re-engineering, Enterprise Data Management (Data Strategy, Architecture and Management), Analytics & Data Visualisation, Operating Model constructs, Design Thinking, and has strong familiarity with Emerging Tech. He is certified in Business Sustainability Management from the Cambridge Institute of Sustainability Leadership (CISL).

Sustainable IT: Enabling a resilient business

Sustainability is moving higher and higher on the IT priority list. According to extensive research performed by Enterprise Strategy Group, there are six primary factors -- driven by sustainability and ESG initiatives -- changing the IT buying culture:
- IT supplier ESG programs do matter to IT buyers.
- IT buyers expect to pay a premium for ESG compliant goods.
- How buyers access supplier ESG is not yet mature.
- Corporate ESG is a branding exercise.
- The third-party ESG compliance tools and services market is set for rapid growth. 
- ESG is driving strategic IT/business alignment. 

In this research-based talk, Enterprise Strategy Group Senior Analyst Jon Brown, will present eye-opening results from their latest study exploring how ESG impacts IT strategy as well as discuss how buyers and sellers can better understand the current impact of ESG programs on IT purchasing in order to make better buying decisions.

The role of ESG programs on IT decision making

Addressing environmental and social impact is now a business imperative to retain customers, attract talent and to comply with evolving regulations and reporting, so many businesses are transforming to a 'purpose driven' model. Information technology can simultaneously be part of the solution and part of the problem when it comes to environmental and social impact, so what exactly does a sustainable IT practice look like and why should we care? What can we contribute? Where do we start?

This session will cover the scope of sustainability, how the consumption of IT services and products are contributing to the big picture and what practical steps IT and procurement departments and professionals can take to make a difference. It's packed with stats, facts, figures, concepts and advice that will get you thinking about sustainability on a whole different level.

What is sustainable IT practice and why should I care?

IT is increasingly costing the earth, in its greenhouse gas emissions, use of raw materials, energy and water, as well as e-waste and more. Businesses and IT leaders need to develop more sustainable ways of working to mitigate the environmental risks of IT expansion.  

While CSR strategies do help organisations navigate uncertainty, leaders need to understand the connection between them and other key business challenges, such as resilience, business strategy and sustainable IT. 

In this session, Denis Didier, Sustainable IT Manager with ISIA will discuss how to leverage change management, collective intelligence and strong leadership to build a sustainable IT strategy that is right for your company.   

Join this session to explore: 
• The Impact of ICT in 5 figures and trends
• Six steps to make ICT more environmentally friendly
• Why sustainable IT can be done both efficiently & profitably

Methodology for leaders looking to make IT more environment friendly

Digital sustainability needs to be looked at from two perspectives: how can we better use digital technologies to support sustainability initiatives, and how to ensure digital products and services themselves are sustainable. Both of these need to be clearly connected to the organization's strategy - we are way past the 'Business and IT' paradigm, separating the two as if that's an option.

This session addresses common challenges with digital sustainability, and provides the participants with the following:
- Techniques to address common challenges with digital sustainability.
- Recommendations for embedding sustainability in the organization's strategy.
- Ways to successfully support organizational changes needed for improved sustainability.

How to improve digital sustainability, sustainably

Explore the exciting and rapidly evolving world of decentralized storage and how it is bridging the gap between Web 2.0 and Web 3.0

In this webinar, we will provide an overview of the importance of enterprise decentralized storage and why it is more relevant now than ever before. We will delve into the benefits and demand of decentralized storage and discuss the evolution of on-premises to cloud to decentralized storage (cloud 2.0).

We will also explore the various use cases of decentralized storage, including its role in data privacy and security, and the potential for decentralized applications (dApps) and blockchain technology.

As part of this webinar, we will introduce you to the Decentralized Storage Alliance, a group of like-minded individuals and organizations committed to advancing the adoption of decentralized storage. We will provide insights into the members of the Alliance and the Working Groups that are driving innovation and progress in this exciting field and answer questions such as: 

● Why is enterprise decentralized storage important?
● What are the benefits, the demand, and why now?
● How will on-premises to cloud to decentralized storage evolve?
● What are the use cases of decentralized storage?
● Who are the members and Working Groups of the Decentralized Storage Alliance?

Join us to gain valuable insights into the future of decentralized storage and discover how you can be part of this game-changing technology.

Why Web 3.0 is Important to Enterprise Storage

Observability is the buzzword in the IT industry helping businesses achieve the holy grail of enterprise reliability. By providing a holistic view of system performance, observability tools help organizations monitor, troubleshoot, and optimize their cloud-native environments to deliver exceptional customer and user experiences. 

However, implementing observability is not without its challenges. From navigating a complex web of tools to avoiding vendor lock-in, organizations need to make smart choices to avoid costly mistakes and maximize the benefits of observability.  

In this presentation, join Tosin Olapade (Head of Enterprise Observability and Availability at Sterling Bank) as he discusses how observability is shaping the future of enterprise reliability. Join the session to explore:  
- The common challenges of implementing observability in complex, distributed systems. 
- Best practices for selecting and integrating observability tools into your tech stack. 
- How to overcome cultural resistance and encourage collaboration between teams to maximize the benefits of observability. 
- And more...

Observability: The secret sauce of enterprise reliability

Composable disaggregated infrastructures provide a promising solution to addressing the provisioning and computational efficiency limitations, as well as hardware and operating costs, of integrated, siloed systems. But how do we solve these problems in an open, standards-based way?

DMTF, SNIA, the OFA, and the CXL™ Consortium are working together to provide elements of the overall solution, with Redfish® and SNIA Swordfish™ manageability providing the standards-based interface. OFA is developing an OpenFabrics Management Framework (OFMF) designed for configuring fabric interconnects and managing composable disaggregated resources in dynamic High Performance Computing (HPC) infrastructures using client-friendly abstractions.

In this webinar, attendees will understand how use cases for scaling management of storage and fabrics and beyond are addressed in these architectures, and the applicability to additional technologies.

Casting the Net: Scaling Management of Storage and Fabrics

IT’s love/hate affair with automation is long-standing and complicated. The continuing spread and complexification of the IT environment has made automation more and more essential, whether embedded deep inside a product (think RAID array or SD-WAN appliance) or written within a specific application environment (think Salesforce) or written at the OS level to manipulate or integrate systems and data (think PowerShell). 

Join expert John Burke from Nemertes as he discusses how to think your way clear to expanding your embrace of automation, and some key behaviors to embrace to make automation mature and sustainable at the enterprise level.

Automation: Can't Live Without It, Learn to Live With It

In an ever-changing disruptive and very challenging world, the combination of digital platforms, automation and AI have transformed how businesses interact, communicate and execute to meet and exceed client outcomes.  COVID-19 accelerated the advent of the future of automation with AI. As the global economy becomes more accustomed to automation and AI, changing the nature and speed in how we consume data and information, organizations and industries are learning to synchronize with the new realities of the future of automation with AI. The largest impact of this is felt in the workforce and across several industries, in manufacturing, healthcare, retail, real estate and the like. Concrete examples of how automation and AI aided growth in multiple industries include, but are not limited to:
- Using AI-backed analytics and data to reduce unplanned downtime
- Improving efficiency and product quality, such as the use of co-bots, collaborative robots assisting humans in complicated tasks
- Product augmentation
- Enhancing a customer’s experience in their “buying” journey

It is evident through these examples that the future of automation with AI is here to stay. However, many organizations struggle with re-skilling, up-skilling, retaining and training their existing workforce who may be resistant to the speed of change. While machines do and will continue to fulfill certain functions, complex functions and roles still require human assistance to enable true business transformation.     

Tune into this webinar, presented by industry thought leader, Dr. Sue Tripathi to learn:
1.      The current and future state of automation with AI
2.      The impact of the future state on the workforce that generates a different type of value in their roles and businesses
3.      Working knowledge of the latest technologies used in various industries that have shown good results
4.      Concrete examples of how the future of automation with AI has helped in meeting client needs

The future of automation with AI

Data centers continue to expand their environmental footprints, currently consuming 2% of the developed world’s electricity. Experts predict this number could rise to 13% by 2030. This webinar will cover energy-efficiency in data centers and ways to rein in costs and improve sustainability. This includes delivering more power efficiency per capacity, revolutionizing cooling to reduce heat, increasing system processing to enhance performance, and infrastructure consolidation to reduce the physical and carbon footprint.
 
Join this webcast and you’ll hear our panel of experts discuss:

• Defining Sustainability  
• Why Does Sustainability Matter for IT? 
• Sustainability for Storage & Networking 
• The Importance of Measurement and KPIs
• Sustainability vs. Efficiency 
• Best practices - Now vs. Future  
• Bringing your IT, Facilities and Sustainability Organizations Together

Sustainability in the Data Center Ecosystem

In today’s rapidly evolving business landscape data plays a critical role. Modern data architecture provides the tools and practices to harness the power of data and turn it into strategic advantage.  Whether it is data lakehouse, data fabric, data mesh or cloud data governance modern data architecture is enabling business leaders to make better decisions, quicker.
 
In this talk, Rajeev Pai, Director of Technology Strategy & Transformation at Deloitte, will explore what does modern data architecture entail and how it can be used to unlock business value. 
 
Key takeaways:  
- The need for newer ways for bringing, processing and distributing data in the enterprise. 
- Leading patterns and practices organizations are adopting in this journey with examples.
- Challenges organizations may face when adopting some of these new approaches.
- And how to overcome those challenges.

Whether you are a business leader looking to drive growth and innovation or a data professional seeking to help your business this talk will provide valuable insights from frontline and research.

About the speaker:
Rajeev is a leader in the space of Technology Consulting & Transformation with over 20 years of experience across the globe in the financial services industry, helping business leaders navigate change. He combines deep domain expertise in Capital Markets F2B Processes and Banking to provide thought leadership and tailored advise while challenging business leaders to achieve their vision. He is experienced in large scale System Integration, Platform Re-engineering, Enterprise Architecture, Enterprise Data Management (Data Strategy, Architecture and Management), Analytics & Data Visualisation, Operating Model constructs, Design Thinking, and has strong familiarity with Emerging Tech. He is a certified in Business Sustainability Management from the 
Cambridge Institute of Sustainability Leadership(CISL).

Data-driven success: How modern data architecture unleashes business value

The SODA Foundation, in partnership with Linux Foundation Research, has recently published its Data and Storage Trends 2022 Report, “Data and Storage Strategies in the Era of the Data-Driven Enterprise.” The findings from this global study provide a comprehensive look at the intersection of cloud computing, data and storage management, the configuration of environments that end-user organizations are gravitating to, and priorities of selected capabilities over the next several years. 

SNIA is pleased to host SODA members who led this important research for a live discussion and in-depth look at key trends driving data and storage, including:

• The top 12 trends in data and storage
• Data security challenges facing container deployments
• Approaches to public cloud deployment
• Challenges for storage observability
• Focus on hybrid and multi-cloud deployments
• Top use cases for cloud storage services
• The impact of open source and data and storage

Top 12 Trends in Data and Cloud Storage

Cybercriminals have always been about data – stealing data, compromising data, holding data hostage. Businesses continue to respond with malware detection on laptops and networks to protect data and prevent breaches, so why should storage be left out?  Storage houses what the bad actors are targeting - your data.  Is there anything we can do from within the storage layer to further enhance defense in depth?  
 
Enter "Cyberstorage", a term coined by Gartner, which is defined as doing threat detection and response in storage software or hardware. A parallel, related trend in the security industry is eXtended Detection and Response (XDR) which shifts some of the threat detection from centralized security monitoring tools (SIEMs) down into each domain (e.g., endpoint, network) for faster detection and automated response.  Factor in the growing impact of ransomware and all these forces are driving the need to find creative, new ways to detect malware, including from inside the storage domain.   
 
In this session we'll discuss:
• Cyberstorage and XDR – what are these emerging trends?
• Threat detection and response methods through a storage lens
• Possible approaches for detection when used in conjunction with security tooling
• Why silos between security and storage need to be addressed for successful threat detection

Cyberstorage and XDR: Threat Detection through a Storage Lens

Industry analysts predict Deep Learning will account for the majority of cloud workloads. Additionally, training of Deep Learning models will represent the majority of server applications in the next few years. Among Deep Learning workloads, foundation models -- a new class of AI models that are trained on broad data (typically via self-supervision) using billions of parameters – are expected to consume the majority of the infrastructure.
 
This webcast will discuss how Deep Learning models are gaining prominence in various industries, and provide examples of the benefits of AI adoption. We’ll enumerate considerations for selection of Deep Learning infrastructure in on-premises and cloud datacenters. Our presentation will include an assessment of various solution approaches, and identify challenges faced by enterprises in their adoption of AI and Deep Learning technologies. We’ll answer questions like:
·       What benefits are enterprises enjoying from innovations in AI, Machine Learning, and Deep Learning?
·       How should cost, performance, and flexibility be traded off when designing deep learning infrastructure?
·       How are cloud native AI software stacks such as Kubernetes being leveraged by organizations to reduce complexity with rapidly evolving software stacks (TensorFlow, PyTorch, etc.)?
·       What are the challenges in operationalizing Deep Learning infrastructure?
·       How can Deep Learning solutions scale?
·       Besides cost, time-to-train, data storage capacity and data bandwidth, what else should be considered when selecting a Deep Learning infrastructure?

Training Deep Learning Models in the Cloud

Machine learning (ML) is the study and development of algorithms that improves with use of data. As it deals with the training data, the machine algorithm changes and grows. Most ML models begin with “training data” which the machine processes and begins to “understand” statistically. 
Machine learning models are resource intensive. To anticipate, validate, and recalibrate millions of times, they demand a significant amount of processing power. Training an ML model might slow down your machine and hog local resources. 
The proposed solution is to containerize ML with NVMe over Fibre Channel (FC-NVMe) by putting your ML models in a container. In this webcast, we will highlight the benefits of containerizing ML models with FC-NVMe, discussing: 

• Containers are lightweight software packages that run-in isolation on the host computing environment. Containers are predictable, repetitive, and immutable. This ensures that no unexpected issues occur while moving them to a new system or between environments. A cluster of containers can be created with a configuration suited for machine learning requirements. Containers are also easy to coordinate (or “orchestrate”). 

• Artificial Intelligence (AI) at scale sets the standard for storage infrastructure in terms of capacity and performance, making it one of the most crucial factors for containers.

• FC-NVMe is an extension of the NVMe network protocol to Fibre Channel delivering faster and more efficient connectivity between storage and servers and providing the highest throughput and fastest response times. 

• The combination of FC-NVMe with an NVMe SSD solution with containerized ML allows orchestration to scale data-intensive workloads and increase data mining speed.

Benefits of FC-NVMe for Containerized ML Models

While the proliferation of analytic technologies has created exciting new ways to harness Big Data like never before, for many it has also created a quagmire of complexity that is slow to deploy, runs inefficiently, isn’t integrated with other systems, and cannot be scaled. There is a solution; it is possible to create next-generation applications with ease and efficiency.

Join us for this presentation to learn:

• How to jump start Big Data technologies deployments by using a standard analytic platform 
• How to implement an analytics platform that can scale based on your needs and simplifies your user experience
• Where analytics deployments have failed to deliver ROI
• Lessons learned from other companies on the journey to enterprise-grade analytics
• What consumption models are available and which are most advantageous

How to Create Next-Generation Applications & Deploy Big Data Technology Faster

Big Data

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How to Create Next-Generation Applications & Deploy Big Data Technology Faster

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