Efficiency and Ecological Responsibility of Cloud Computing

The IT Infrastructure market is undergoing a change: the need to react to the increasing desire for advanced data management capabilities and solutions that cater to specific workloads. With the influence of 5G, IoT and Edge starting to be realized in non-converged and hyper-converged infrastructure (HCI), it’s time to take a closer look at what infrastructure providers need to know.

Join us for this expert panel, where data center and HCI leaders share essential insights into how to embrace the IT infrastructure trends and changes emerging from the influence of IoT, Edge and 5G.

Areas of discussion will include:
- How to make sure the increased need for IoT and Edge-produced data storage leads you to optimize your data centers so that all clients benefit from better data flow, security, storage requirements, and access capabilities
- How to get a handle on inevitable increases in infrastructure costs associated with 5G rollouts
- Use cases where HCI is the right infrastructure for companies that need to ensure their data centers are cloud-ready and agile

This talk will showcase how Corporations are embracing Digitization and Artificial Intelligence (AI) for their next phase of growth. It will show how Corporations are adopting new Venture Capital service models to achieve this goal. Several Fortune 500 Corporations are stagnant in their innovation cycle and are hence looking for partners to bring external innovation from startups. This talk will also discuss how Data and AI are transforming various industries like FinTech, AgTech, Retail, etc. Corporations that fail to adopt Data and AI will become irrelevant in the new world.

The Impact of the Move to Continuous and Automation on Compute and Infrastructure

The impact of the business need for faster cycles and increasing flexibility is driving DevOps and lean ideas throughout the IT value stream. This has significant meaning for the compute / infrastructure side of the world. We will explore how automation, “as code”, shifting left, and other DevOps concepts are driving change into the IT value stream, driving an API revolution, and impacting the infrastructure world. We will explore the idea of Continuous Compute to address the new requirements being placed on today’s infrastructure and supporting organizations.

• The Changing Landscape – It’s a revolution front to back
o Introduction
o Cycles and Innovation
o Changing the Value Stream
o DevOps Impact

• Ephemeral – Here today, gone tomorrow
o Managing a Dynamic World
o Automation
o Integration
o “As Code”
o APIs

• Shifting Left – Moving on up
o Asset Capacity
o Capacity
o Change
o Monitoring

• Continuous Compute – The Infrastructure of tomorrow
o It’s a Hybrid World
o Continuous Compute
o Keeping It Together

As the amount of data being generated by companies has increased dramatically, the options for where and how to store it have also increased thanks to the options now available from the Public cloud Vendors.
From real time ingestion of data for applications such as IoT to cost-effective archival storage to meet regulatory requirements, a variety of solutions are available to meet every need.
This session will explore some of these services, and how they can be used as part of your overall storage strategy to meet business needs.

Critical IoT networks can’t survive on cloud storage alone. The storage needed to support many use cases will be distributed in a hierarchy of nodes spanning the IoT endpoint devices, several layers of edge computing, and the cloud, all working together to optimize performance, reliability, capacity and cost. This talk will start with some example IoT use cases that can benefit from hierarchal storage. It will explore the requirements and architectural tradeoffs used to decide which part s of the application data set should be stored at each level. Next, we will investigate the trustworthiness of data storage in IoT networks and how edge computing can help provide it, looking at five major components: security, privacy, safety, reliability and resilience. We will conclude with some implementation scenarios, and practical advice for optimizing the cost, performance and trustworthiness of your IoT storage infrastructures.

The IT Infrastructure market is undergoing a change: the need to react to the increasing desire for advanced data management capabilities and solutions that cater to specific workloads. With the influence of 5G, IoT and Edge starting to be realized in non-converged and hyper-converged infrastructure (HCI), it’s time to take a closer look at what infrastructure providers need to know.

Join us for this expert panel, where data center and HCI leaders share essential insights into how to embrace the IT infrastructure trends and changes emerging from the influence of IoT, Edge and 5G.

Areas of discussion will include:
- How to make sure the increased need for IoT and Edge-produced data storage leads you to optimize your data centers so that all clients benefit from better data flow, security, storage requirements, and access capabilities
- How to get a handle on inevitable increases in infrastructure costs associated with 5G rollouts
- Use cases where HCI is the right infrastructure for companies that need to ensure their data centers are cloud-ready and agile

Let’s talk about IoT & challenge some given truths about the value of stored data. It has proven hard for most companies that are not digital natives, to capitalize on data lakes. Most product OEMs, who are & will be the frontrunners of IoT, are no such actors. The harsh reality is that managing customer data comes at a huge risk, responsibility & cost. Data integrity is one reason for us, Ekkono, to technically approach this from the edge. By enabling real-time processing of the data on the device, with no human intervention, & only sending insights to the cloud, we increase integrity while decreasing risk.

At the same time, this enables OEMs to develop smart features onboard their products to make them more intuitive, predictable, sustainable, & personalized by accommodating the place & purpose they are used for. Leveraging sensor data to develop automated, smart features is a great way to capitalize not just on data, but also on domain expertise. This way product companies in different verticals like industrial, automotive, energy & real estate can do more of what they do best & do it globally by leveraging new technology like sensors, connectivity & Edge Machine Learning.

So, let’s talk about how you can augment your cloud & connectivity strategies with Edge Machine Learning that makes your products smart, self-learning & predictive.

• Processing data in real-time is a game changer – learning what’s normal for an individual unit, to predict what will happen & detect when something deviates from what is expected to happen.
• Collecting data comes with big responsibility. Don’t collect data unless you have a really good reason to do so.
• You can make money on this, while at the same time helping the environment by running every single one of your products in an optimal & sustainable way.
• Sensor data is the key to the true potential of IoT. More specifically, it spells Automation. But you don’t need a big data lake for this.

With all companies being (at least rapidly becoming) software companies, most innovation today is driven by software and software developers who are seeking to implement distributed microservices architectures. Unfortunately, connectivity is often a roadblock for deploying modern software when pre-built, proprietary networks do not provide the needed flexibility or security. This at best slows down, at worst kills innovation, because changes to networks to support the delivery of new software will require at a minimum negotiating with other groups. Fortunately, new cloud-native software defined networking platforms address these challenges head on and can accelerate distributed innovation by embedding secure networking capabilities into modern software.

In this webinar, Olaf Luetkehoelter, Co-Founder and Chief Developer Evangelist of NetFoundry, will show how to embed zero trust networking directly into the application. Developers and integrators can stop worrying about the network and instead leverage global, secure, application-specific networks.

Cloud computing has come of age. For many enterprises, “The Cloud” is arguably the most disruptive computing paradigm since the micro-processor. With the advent of 5G, AI, Autonomous Systems and other technologies, Edge Computing is now emerging as the new frontier of innovation and disruption. In fact, the market is in the midst of realizing that “The Edge is the New Cloud.” This movement is expected to spark a reconfiguration, requiring new infrastructure, platforms and solutions. In this webinar, Joe Hammer, EVP, Business Development of AlefEdge, will discuss how enterprises can take advantage of new Edge-as-a-Service abstractions to deploy their own on-campus and off-campus 5G Edge services in minutes. Enterprises can now control their own destiny as they launch various next generation internal and customer facing digital transformation initiatives.

The pandemic has intensified the major trend facing cybersecurity managers: the need to do more with less. Resource-strapped CISOs need new technologies and new approaches to do their jobs, which are changing rapidly. The key cybersec megatrends – all of which make a CISO’s job harder than ever – are:

- Cyber-physical systems
- The move to cloud
- The skills/knowledge gap

In addition to the operational challenges of keeping organizations cybersecure, there also is a glaring and under-reported gap in risk management and governance. Many areas of business management need help from CISOs and they aren’t getting it. This includes Compliance/audit, business planning, even marketing.

Machine Learning and Artificial Intelligence are the way out of all these dilemmas.

Several notable market-leading software developers have attempted ML/AI for cybersecurity, but when examined further and implemented into production ecosystems, the ML is focused on limited vectors. This is something any advanced security ops analyst will tell you is of limited use if the actual AI activity is restricted in what it’s capable of delivering with any extensive assurance.

Specifically, what hadn’t been solved to date is the numerous false-positives generated by both ML/AI. This is the same challenge faced by security ops supervisors who have invested heavily in every technology from security incident event monitors (SIEMs), network access control (NAC), network access prevention (NAP), and various monitoring and alerting platforms. Even more important are the elusive false negatives, which are the goal of advanced persistent threats (ATPs) and the goal that advanced and nation-state attacks strive toward.

In this webinar, InsightCyber CEO Francis Cianfrocca and Chief Intelligence Officer Joan Ross describe how today's market challenges led them to consider cybersecurity from a completely new perspective: through the lens of ML/AI.

2020 was a roller coaster of a year as it related to accelerated digital transformation and network traffic shifts. As we move into 2021, its clear that the network is continuing to evolve. Teleworking is likely to become permanent for a portion of the workforce. SD-WAN is maturing into Service Access Service Edge (SASE), weaving a security component more heavily into the network offering. IoT/Edge Networking continues to emerge into the mainstream. 5G is helping to turbocharge some of these use cases.

In this session, we’ll explore some of these exciting market shifts and what they mean for enterprises.

Central Offices Tip & Ring, T-1, Sonet, Ethernet, Mobile Switching Offices, GSM, 2G, 3G 4G LTE, 5G… WiFi, Bluetooth, GPS, AI, CBRS, PLTE… acronyms galore..

Alexander Bell along with AT&T brought telecommunications to the masses and a boom for business and the growth of our nation. Perishable farm products were shipped to prequalified markets to fulfill identified present needs. Supply chains could be expanded with less waste and be more efficient. Communication portals all located in fixed hard wired buildings. Centralized for call centers, back & front office operations. Tethered in place. Proliferation of fax, LAN, Internet technologies. Branch offices soon created the WAN.

Mobile telecom using voice only kept the organization in touch during travel. There became a need for data to be as mobile as voice. Text along with low data applications became available and soon the cellular industry introduced 4GLTE and we were off to the races. The smartphone came about and along with it integrated radios that allowed WiFi off load, bluetooth device connections, radar, greater spectrum frequencies and much more!

The most basic form of communication is voice. It is the most popular app used on our cellular phones. We now carry it with us along with our wallets, pocket books and keys. In fact they are now becoming our wallets, pocketbooks and keys.

Why? They seem to be the universal connector since many of the technologies can be incorporated into the chipsets “System on a Chip” (SOC).. Our smartphones act as a bridge. Kind of like what we have in NY the “Tri-Borough Bridge” that brings you to LI, Manhattan & The Bronx. 1 bridge, three different land masses (or protocols, spectrum or any part of the OSI model) The basic cellular infrastructure looks like a Community Antenna that currently serves the licensed carriers and their customers.

- Utilities & Their Infrastructure
- Fourth Utility
- Cellular
- IOT
- Roadblocks
- “The Connected Community”

Demystifying API Security Mesh in 30 Mins


Dynamic cloud infrastructure means an operating model shift from traditional, statically defined, host-based identity to application-based identity in a heterogeneous environment with shared access across multiple clouds and no clear network perimeters. In this BrightTalk session, we will go through key practices on how you can apply a data centric & data-in-motion protection strategy to every distributed & cloud-native Apps and APIs. Explain what we mean by API Security Mesh and how you get the cheat sheet for every DevSecOps and AppSec administrators to succeed in Cloud Native security policy management. Furthermore, you can follow shift-left and protect right approaches by learning your application behaviors in CI/CD pipeline and use the learned API behaviors to protect Apps at run time.

Part of every technology innovation roadmap seems to include People – Process – Technology
foundational pillars. What is not well understood is how Enterprise Architectures (EA) support organizations in their strategic journeys to digitize and innovate, while nudging the culture to embrace change. Appropriate standardization is likewise required to be interoperable, portable, transparent, repeatable, efficient, effective, and secure.

Steven will discuss the DevSecOps and Cloud2.0 opportunities, the cultural challenges and how EA can “ease the pain” and reduce risk. Many EA frameworks share common elements that are widely recognized as foundational pieces of information.

Various updates will be shared from Steven’s work with various international and regional standards
groups. Real-life examples will be used to provide context, highlighting the value-proposition for EA
today and into the future.

Finally, Steven will explore how EA frameworks and standards will help drive the desired culture changes for DevSecOps and future distributed Information Technology (IT) services of the future.

90% of digital transformations fail. The digital transformation market was estimated to be worth $336.1B in 2020. That means close to $300B invested in Digital Transformation showed no ROI. In our experience, at least 25% of a digital transformation budget goes toward third-party SaaS or Cloud costs. That means companies in 2020 spent upward of $75B on SaaS or Cloud costs that showed no ROI.

A top priority for companies is aligning their cloud and digital transformation strategies. Most importantly, companies need to run both in tandem using an iterative approach to ensure investment and scale-out are based on real results. Join this webinar to learn how to take a fresh approach, including:

Putting your digital transformation in a context that your customers care about.
Developing a cloud roadmap based on iterative customer feedback.
How to turn your cloud strategy from a cost-saver to a revenue generator

2020 was a pivotal year for cloud-native, which its promises - agility, innovation, adaptability - more mainstream than ever before. But to take advantage of cloud-native and these benefits, a cloud-native DevOps approach is absolutely crucial.

Join this panel to learn how a cloud-native DevOps approach can transform your business into one where people and technology work together seamlessly, and where your business is truly modernized.

Topics of discussion will include:
- Why cloud-native and DevOps go hand in hand
- What defines cloud-native DevOps
- The challenges enterprises face incorporating cloud-native DevOps
- What benefits cloud-native DevOps bring to organizations and in turn, their customers

Speakers:
David Van Everen, VP of Marketing, StackRox (Moderator)
John Capello,VP of Product Strategy, Nasuni
Stephane Estevez, EMEA Director of Product Marketing, IT Markets, Splunk
Matt Sollie, Lead Cloud Architect, Rackspace Technology

Public cloud adoption continues to accelerate

• 20 percent of enterprises spend more than $12 million per year on public clouds
• 59 percent of enterprises expect cloud usage to exceed prior plans due to COVID-19

With the enforced move to home working, more and more companies have had to adapt their use of technologies to cater for the continuing need for workforces to work from home, maintaining productivity, whilst doing so safely and securely. Many leaders have discovered it can be a minefield when embarking on their journey to the cloud. Questions they have had to ask themselves include:

How do we know which Cloud provider is right for us? How will we control costs? Do we need to adopt a multi-cloud strategy? Where should we start?

Attend this Webinar to gain some useful pillars to build your cloud strategy around, along with details of typical mistakes made along the way, (to help you avoid these pitfalls).

Delivering infrastructure and applications at scale and speed has never been more important, as business race to be the first to bring new, transformative, user focused services to market.

Long seen as a blocker to successful DevOps, a lack of security resources, knowledge, and capability is now seen as holding back Enterprise DevOps teams.

DevSecOps has been positioned as a solution, but with a claimed cyber security skills shortage, how can we really provide the security support and enablement that Enterprise DevOps teams need?

In this talk, we will discuss:
- How security teams need to evolve and re-skill to support the Cloud Native needs of Enterprise DevOps.
- How we already have the skills and capabilities we need to deliver cloud-native, secure services.
- How to we can save money, time, and pain, by managing security in the same way we manage cloud-native enterprise infrastructure.

The IT industry is undergoing rapid digital transformation driven by hybrid cloud and multi cloud adoption. But regardless of whether organizations are using different variations of cloud or even private and public infrastructures, all teams can benefit from a highly agile and automated approach across dev, sec and ops teams. CI/CD is credited as being the key tool in helping practitioners achieve an agile approach. But while DevOps teams are making inroads with CI/CD, cybersecurity practitioners neither have the skills or tools to leverage the practice.

Join this webinar to learn about holistic DevSecOps with a lens on security:
1. What is IT-as-Code ™, DevSecOps and CI/CD
3. How CI/CD pipelines work for different cloud strategies
4. CI/CD strategies for cybersecurity, specifically
5. Real world use cases of DevSecOps in a hybrid cloud strategy