Name: The unspoken challenges of the cloud
Start: 2017-04-20T14:00:00Z
End: 2017-04-20T15:00:26.000Z
Location: BrightTALK
Rating: 4.6

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?

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

Demand is growing for observability data—especially for businesses that want to provide stellar customer experiences, remain secure and compliant, and mitigate risk. But as with adopting any new discipline or technology, embracing observability data should start with a plan. In this fireside chat, you will gain insights on:

•        Challenges organizations are facing with observability data today and how they are trying to address them 
•        How organizations can get the most out of their observability data
•        Key value drivers of observability pipelines
•        And more

Making Observability Data Work for You

With many organizations embarking or already embarked on modernization initiatives, anchored in cloud and AI capabilities, operational challenges can hinder the long run value realization of such transformations. Increasingly, organizations need to consider optimal data operations (DataOps) as part of the modernization efforts, to deliver and expand upon expected business value, and improve AI and data-driven decision making. In fact, the Enterprise Strategy Group’s April 2022 "State of DataOps" report found that out of 403 technical and business data professionals, 90% of those surveyed reported plans to make moderate to extensive investments in DataOps in the upcoming year.  

Data and Business leaders, need to collaboratively map out desired outcomes and prepare for challenges before implementing a DataOps strategy.  

Join this conversation among leaders from leading organizations, Deloitte and Enterprise Strategy Group (ESG) as they discuss the foundations of a strong DataOps strategy. This conversation will focus on:  

• The long-term goal of DataOps and key pillars that will drive its sustainability   
• How Agile and DevOps approaches and teams that have the right roles and skillsets drive effective and value-adding operations  
• How new technology will support DataOps  
• How data governance needs to be embedded in DataOps
• Program management, governance and alignment  
• And much more  

Moderator: 
Mike Leone, Senior Analyst, ESG

Panelists:
Hemathri Balakrishnan, Managing Director, Head of Architecture, Product Engineering & Data, J.P Morgan Wealth Management
Prakul Sharma, Managing Director, DataOps Practice Lead, Deloitte Consulting

Establishing Strong DataOps Foundations to Drive Business Value

A new class of cloud and datacenter infrastructure is emerging into the marketplace. This new infrastructure element, often referred to as Data Processing Unit (DPU), Infrastructure Processing Unit (IPU) or xPU as a general term, takes the form of a server hosted PCIe add-in card or on-board chip(s), containing one or more ASIC’s or FPGA's, usually anchored around a single powerful SoC device. 

The OPI project has been created to foster the emergence of an open and creative software ecosystem for DPU/IPU based cloud infrastructure. The project intends to delineate what a DPU/IPU is, to loosely define a framework(s) and architecture for a DPU/IPU-based software stack(s) applicable to any vendors hardware solution, to allow the creation of a rich open- source application ecosystem, to integrate with existing open-source projects aligned to the same vision such as the Linux kernel, IPDK.io, DPDK and SPDK to create new APIs for interaction with and between the elements of the DPU/IPU ecosystem:
• the DPU/IPU hardware 
• DPU/IPU hosted applications 
• the host node 
• remote provisioning software 
• remote orchestration software

Learning Objectives: 
• OPI introduction 
• OPI workstream definitions and status 
• How you too can contribute to OPI

An Introduction to the OPI (Open Programmable Infrastructure) Project

Organizations are looking for new ways to accommodate accelerating cloud growth and edicts. Business agility, competitive differentiation, and the desire to grow overall are the driving factors for cloud adoption. Cloud approaches are necessary in order for the business to evolve, but the transition isn’t easy. Many CIOs are tasked with adopting a cloud strategy but are equally challenged with keeping core business operations going. This puts a tremendous burden on IT as well as lines of business. In this keynote session, ESG Senior Analyst Paul Nashawaty will discuss the skill gaps that make it difficult for organizations to tackle cloud projects, how most organizations are adopting a distributed approach to cloud adoption, why application portability is important, and how the market is evolving to adapt to this new way of doing business.

Overcoming Obstacles to Cloud Innovation

Have you ever wondered how intelligent Industry 4.0 factories or smart cities of the future will process massive amounts of sensor and machine data? What you may not expect is a digital twin will most likely play a role. A digital twin is a virtual representation of an object, system or process that spans its lifecycle, is updated from real-time data, and uses simulation, machine learning and reasoning to help decision-making. Digital twins can be used to help answer what-if AI-analytics questions, yield insights on business objectives and make recommendations on how to control or improve outcomes.

This webinar will introduce digital twin usage in edge IoT applications, highlighting what is available today, what to expect in the next couple of years, and what the future holds.  We will provide examples of how digital twin methods help capture virtual representation of real-world entities and processes, discussing: 

• What is driving the edge IoT need 
• Data analytics problems solved by digital twins
• How digital twins are being used today, tomorrow and beyond
• Use cases: adaptive agile factories, massive data generation across industries, and system of systems processes
• Why this is a technology and trend that is here to stay

Journey to the Center of Massive Data: Digital Twins

Observability is becoming a must as organizations are expected to deliver digital experiences that are fast, reliable, and engaging. While multiple vendors offer observability solutions, approaches vary and the cost of a bad decision can leave organizations over budget, exposed, and worse, seeing customers walk away and revenue plummet. This panel discussion explores:  

• The state of Observability today and why it’s critical for delivering digital experiences  
• How leaders should think about Observability as foundational to their business    
• The cost to your organization of not utilizing Observability – with recent examples 
• Ways to accelerate your Observability ROI and how solutions and services providers can help
• And much more  

Hear insights designed to help you meet the challenges of operating in today’s complex world. 

Moderator: Paul Nashawaty, Senior Analyst, ESG

Panelists: 
Riya Shanmugam, GVP, Alliances & Channels, New Relic
Jonathan LaCour, CTO, Mission
Vikram Kosanam, Director/Head of - Data, Analytics and AI/ML Professional Service, Rackspace

Embracing Observability to Deliver in an Always-On World

Using software to perform memory copies has been the gold standard for applications performing memory-to-memory data movement or system memory operations. With new accelerators and memory types enriching the system architecture, accelerator-assisted memory data movement and transformation need standardization.

SNIA's Smart Data Accelerator Interface (SDXI) Technical Work Group (TWG) is at the forefront of standardizing this. The SDXI TWG is designing an industry-open standard for a memory-to-memory data movement and acceleration interface that is – Extensible, Forward-compatible, and Independent of I/O interconnect technology. A candidate for the v1.0 SNIA SDXI standard is now in review.

Adjacently, Compute Express Link™ (CXL™) is an industry-supported Cache-Coherent Interconnect for Processors, Memory Expansion, and Accelerators. CXL is designed to be an industry-open standard interface for high-speed communications, as accelerators are increasingly used to complement CPUs in support of emerging applications such as Artificial Intelligence and Machine Learning.

In this webcast, we will: 
• Introduce SDXI and CXL 
• Discuss data movement needs in a CXL ecosystem  
• Cover SDXI advantages in a CXL interconnect

What’s in a Name? Memory Semantics and Data Movement with CXL™ and SDXI

As cloud adoption continues to soar, IT and cybersecurity leaders must work together to keep up with the evolving market. Cloud and cybersecurity strategies should align in order for organizations to reap the most benefit from their IT investments, minimize threats and help prevent disruptions within the business. 

This discussion with Enterprise Strategy Group (ESG) analyst, Melinda Marks and Fortinet will cover how organizations can modernize cybersecurity practices for the cloud. Discover: 

•        Keys to operationalizing data 
•        Uses of workflow automation 
•        How organizations can incorporate DevOps into their security practice

Modernizing the Security Practice for Cloud

As organizations face increasingly complex changes at faster rates, it is vital that leaders have key capabilities for leading and managing change effectively. Having the right skills, knowledge and experience are vital for engaging stakeholders with organizational transformations and ensuring that change achieves benefits and is sustainable. 
 
Join Julie Hodges (Professor of Organisational Change at Durham University) as she explores the key capabilities for leading planned change effectively and considers how leaders can engage people in co-creating change so that they are committed and ensure that the change is sustainable.
 
You'll discover how to:
 
• Enhance your capabilities for leading digital transformations;
• Increase your engagement with stakeholders during digital transformations;
• Create a supportive environment for organizational change;
• Identify what you might do differently in leading digital transformations.

Leading Change: A Leader's Guide to Successful Transformation

Getting people onboard with any sort of change is never easy. Nowhere is this more evident than in the context of digital transformation, where, according to McKinsey, 70% of initiatives fail on account of employee resistance.  

Without understanding some fundamentals of human psychology and neuroscience, getting people on board and engaging with digital transformation can feel like an uphill battle.  

In this session, Simon Moore explains how the human brain responds to calls for change and change management best practices to help get your organisation on board and excited about your transformation plans.  

Topics for discussion include: 
- What psychology and neuroscience tell us about human resistance to change, and why it matters in the context of digital transformation; 
- Best practices for driving engagement: why you need to tap into your team’s emotional needs to get more traction; 
- How to reframe the concept of change to increase relevance and enthusiasm across the organisation; 
And more...

How to Engage the Human Brain to Facilitate Digital Transformation

There’s no one size fits all solution to digital transformation. Each organization has different levels of maturity and goals, and there is no one silver-bullet digital road map that works for all organizations.
 
Our research shows that digital transformation programs go through three natural phases: initiation, execution, and anchoring. Drawing upon years of experience and insights from more than 1,500 digital leaders, this session shares some common challenges and best practices for accelerating your digital transformation.  
 
Join Tomoko Yokoi (Researcher and Advisor in Digital Transformations, IMD Business School) as she shows you how to: 

• Build urgency for transformation when your business is doing well;
• Make the CDO role a success;
• Manage digital transformation responsibly and sustainably;
• Go beyond digital transformation.

Best Practices to Accelerate Your Digital Transformation

Too often, many organizations fail to harvest measurable business value due to legacy ways of working and measuring progress, siloed technologies and teams, a stagnant ecosystem of partnerships or other issues. Your ability to generate sustainable growth depends on mastering the interplay between people, data, automation and AI. This is a core operational challenge for many companies going forward -- and also the most important opportunity across industries.

In an evergreen enterprise, all of this happens naturally, organically, automatically. It does so because the business and its ecosystem are fed by a liquid asset that flows everywhere and energizes everything: data. The DNA of these companies intertwines the best of people working with machines to make smarter, faster moves based on human knowledge with AI, machine learning with creative inspiration, and automation with intuition.

Join Deloitte Consulting's Jim Rowan (AI & Data Operations Practice Leader) and and Sanghamitra Pati (US-India AI & Data Operations Offering Leader), to dig into the common challenges that businesses face on the path to sustainable, value-driving AI and data operations; and map out an evolved -- and ever evolving -- ecosystem model for the evergreen enterprise.

Activate Evergreen Digital Transformation with People, Data, Automation and AI

Video interview: The next stages of digital transformation

Adventures in Cross-Platform

The Ghost of DevOps Past - and a Peek into the Future

To Ops or Not to Ops: That is the Question

Running Databases in Containers: Overcome the challenges of Heavy Containers

Building DevOps in the Enterprise

Modernizing IT in the Platform Era

NoOps is NoSense

How to Achieve Agility, Visibility and Security in the Cloud

State of the Art: Solving the Persistent Storage Challenge for Containers

Reinvent Your Apps: API-First, Microservice Oriented, Container Packaged

Keeping up with Containers, Microservices and Open-Source Architectures

Live From DockerCon 2017: Storage Strategies for Docker - Panel Discussion

Performance Management for Cloud-based applications

Mobile, Hybrid, Native Cross-Platform Application Development

Managing and Scaling Applications Containers with Kubernetes

Monitor with Discipline - Successful Cloud Applications

Why Automation Matters for Cloud Migration

Change is Everywhere! How an OpenStack Cloud Can Help You Deal With It.

Uncover Data Security Blind Spots in your Cloud, Big Data & DevOps Environment

Open, Collaborative Communications Power Workforce and Customer Experience

The Cloud Management Challenge

Deploying enterprise application to Hybrid Cloud – Which cloud?  Where?

Docker 101 - How Docker works and how you can use it in different product cycles

The Milestones of Sucessful Apps

Deploying and Managing Successful Cloud Apps

It's not a secret anymore that cloud represents the main change driver in the IT industry. However, though it is so popular, it still holds many secrets difficult to crack. Where to start when dealing with cloud native applications and what to expect from its future developments? 

In this panel, we will discuss the following questions:

* What are the historical changes in the cloud? Do they go hand in hand with the historical needs?
* Legacy cloud native applications - how to take them into the new world?
* Cloud vs Shadow IT
* Cloud from the start up perspective
* Security & change management in cloud native applications
* What does the future hold for us that we don't see?

Panelists:
- Simon Ratcliffe, IT Evangelist, Ensono
- Russ Elsner, Technical Leader in Enterprise Performance Monitoring, Science Logic
- Tiberiu Covaci, Full-Stack Tech Lead, Microsoft Regional Director

Moderator:
- Andrew Bird, EA Visionary

The unspoken challenges of the cloud

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The unspoken challenges of the cloud

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