Juniper Global Partner Conference: The New Network Means Business

Edge AI and Vision Alliance

Juniper Networks CEO, Kevin Johnson's presentation from Juniper's Global Partner Conference.

Technology Business

Physical IT Assets Virtualized IT Resources

Hard-Wired Enterprise Wireless Enterprise

Stationary Worker Mobile Worker

“IT-Approved” Apps App Explosion

“Here’s Your PC & Phone” BYOD & No Turning Back

SP Revenues = Voice Services SP Revenues = IP Data Services

“Cloud…What?” Cloud Hype Turning to Reality

VALUE TO THE BUSINESS

OPPORTUNITY FOR COMPETITIVE DIFFERENTIATION

The email system is down!
15%

My log-in doesn’t work.

TODAY’S REALITY FOR CIOs

How can we drive co-creation
with our customers?
15%

How can we speed up
our innovation cycles?

ASPIRATIONAL GOAL FOR CIOs

FOUNDATION FOR SUCCESS IN CLOUD: HIGH-PERFORMANCE NETWORKING

Strategic Value of Pressure on the Demand for
the Network Legacy Network Network Innovation

THAT EXPANDS THE PORTFOLIO OF
SOLUTIONS FOR YOU TO SELL

Routing Security
M-Series Netscreen

T-Series

Network Network Switching/ Device Connectivity Custom
Orchestration Programmability Routing Security Fabric & Security Silicon
Junos® Space Junos® SDK M-Series Netscreen EX-Series Junos® Pulse Junos® Trio

Junos® Space T-Series SRX-Series Wireless WL Junos® Express
SDK
MX-Series Virtual Wireless
Gateway AX-Series
MobileNext

Converged QFabric™
Supercore-PTX
Router Services
MediaFlow

EDGE

ACCESS &
CORE
AGGREGATION

CONSUMER & DATA
ENTERPRISE DEVICES CENTER

CAMPUS &
WAN
BRANCH

THIRD-PARTY BENCHMARK — QFABRIC VS. LEGACY APPROACH:

Lower Lower Lower Lower Power
TCO CapEX OpEX Consumption

Source: ACG Research

Senior Vice President
ICT Operations & Delivery
Bell Canada

User devices now protected with Junos® Pulse

Customer organizations now protected with Junos® Pulse

INNOVATION
ECOSYSTEM

SOFTWARE

SYSTEMS

SILICON

COMPLEXITY SIMPLICITY
ESCALATING COST REDUCED TCO
INADEQUATE PERFORMANCE INDUSTRY-LEADING PERFORMANCE

AS DOCUMENTED BY FORRESTER RESEARCH

Reduced unplanned Reduced planned Reduced development Productivity
network downtime network downtime time costs improvements

Source: Forrester Research: “Junos ® Total Economic Impact Study” — 2011

Juniper Global Partner Conference: The New Network Means Business

Digitization is redefining industries. Every business, city and country will become digital. Trends show that by 2020 50 billion devices will be connected. This growth of IoT requires compute and storage close to the end devices for several reasons – data reduction, resiliency, latency and scale. All those can be addressed by fog computing uniquely enabled by Cisco as one of six pillars of Cisco IoT System which provides the technologies and software you need to deploy, accelerate, and innovate in the era of IoT.

“5G and AI Transforming the Next Generation of Robotics,” a Presentation from...

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/07/5g-and-ai-transforming-the-next-generation-of-robotics-a-presentation-from-qualcomm/ Kishore Chakravadhanula, Staff Product Manager at Qualcomm, presents the “5G and AI Transforming the Next Generation of Robotics” tutorial at the May 2021 Embedded Vision Summit. Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors. In this session, Chakravadhanula discusses how scaling 5G and AI will help solve a diverse set of robotics challenges—from enabling high-accuracy AI inferencing and superior power efficiency to enhanced security and connectivity. Chakravadhanula explains why these advances are key to enabling the robotics ecosystem and accelerating growth in segments from automated guided vehicles, autonomous mobile robots, delivery robots and drones to inventory, industrial, and collaborative robots. Additionally, he highlights recent use cases including how our AI and computer vision technologies are enabling autonomous flight on Mars and enabling your home vacuum robot to map rooms and avoid obstacles.

Ericsson Technology Review: Cloud-native application design in the telecom do...

Cloud-native application design is set to become standard practice in the telecom industry in the near future due to the major efficiency gains it can provide, particularly in terms of speeding up software upgrades and releases. At Ericsson, we have been actively exploring the potential of cloud-native computing in the telecom industry since we joined the Cloud Native Computing Foundation (CNCF) a few years ago. This Ericsson Technology Review article explains the opportunities that CNCF technology has enabled, as well as unveiling key aspects of our application development framework, which is designed to help navigate the transition to a cloud-native approach. It also discusses the challenges that the large-scale reuse of open-source technology can raise, along with key strategies for how to mitigate them.

Ericsson Technology Review: Service exposure: a critical capability in a 5G w...

To meet the requirements of use cases in areas such as the Internet of Things, AR/VR, Industry 4.0 and the automotive sector, operators need to be able to provide computing resources across the whole telco domain – all the way to the edge of the mobile network. Service exposure and APIs will play a key role in creating solutions that are both effective and cost efficient. The latest Ericsson Technology Review article explores recent advances in the service exposure area that have resulted from the move toward 5G and the adoption of cloud-native principles, as well as the combination of Service-based Architecture, microservices and container technologies. It includes examples that illustrate how service exposure can be deployed in a multitude of locations, each with a different set of requirements that drive modularity and configurability needs.

Tim Leland (Qualcomm): The Mobile Future of Extended Reality (XR)

AugmentedWorldExpo

Tim Leland, VP Product Management, Qualcomm A talk from the Inspire Track at AWE USA 2017 - the largest conference for AR+VR in Santa Clara, California May 31- June 2, 2017. Mobile Extended Reality (XR) is likely to become one of the world’s most disruptive computing platforms. It is expected to transform the way we interact with the world around us every day, delivering unprecedented new experiences and the potential to exponentially increase productivity. XR is inherently meant to be mobile, intuitive and always connected. Many new technologies in the areas of low power visual processing, cognition, and connectivity are required for this vision to become reality. This keynote presentation will discuss: • A view of the evolution of XR from today to the future • Examples of unprecedented experiences that XR is expected to enable • Necessary technology advancements required in areas such as 3D graphics, computer vision, next-gen displays, machine learning, and wireless connectivity to support a new class of intelligent, and personalized XR experiences http://AugmentedWorldExpo.com

Multimedia Analytics with 5G Edge Nodes

Anand Bhojan

Presentation at ACM-MM-19 TPC meeting: https://sites.google.com/comp.nus.edu.sg/mm19-tpc-meeting/workshop With the growing popularity of X-Reality (VR/AR/MR) generation of global media-data is expected to accelerate at much higher rate. Most of these data need real-time processing such as real-time facial features/emotion recognition to environmental context recognition/mapping beyond the capabilities of an MR glass. The demand for high communication bandwidth and ultra-low latency (<15ms motion to photon latency) will drive the community to exploit the capabilities of the telco edge nodes and push telcos to build more powerful edge nodes. The real-time analytics of media data with strict real-time constraints will be the ‘killer application’ of 5G networks and edge computing. In addition, we believe, multimedia analytics and 5G/edge computing will be the key to push for mass adoption of XR devices. In this talk, we will explore some suitable media analytics methods and architecture to run media analytics with the 5G edge nodes.

What are

arnoldstreeservice02

Keynot Cloud Expo Intel

Quentin Adam

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/01/how-5g-is-pushing-processing-to-the-edge-a-presentation-from-inseego/ Dan Picker, Chief Technology Officer at Inseego, presents the “How 5G is Pushing Processing to the Edge” tutorial at the September 2020 Embedded Vision Summit. Worldwide 5G deployment has begun and promises ultra-high data rates with ultra-low latency, enabling real-time and interactive applications unlike anything previously supported by a cellular network. However, the 5G air-interface is itself only a small piece of the picture. Every device within the network, from a user device to a cloud application server, must play its own role in contributing to the overall performance of any 5G-based solution. This presentation explores how 5G is accelerating the push for edge-based processing and how placing the right computing resources at the right points in the network can dramatically improve the performance of a solution, while realizing new revenue opportunities for equipment and service providers throughout the ecosystem.

5G positioning for the connected intelligent edge

Cellular networks have facilitated positioning in addition to voice or data communications from the beginning, since 2G, and we’ve since grown to rely on positioning technology to make our lives safer, simpler, more productive, and even fun. Cellular positioning complements other technologies to operate indoors and outdoors, including dense urban environments where tall buildings interfere with satellite positioning. It works whether we’re standing still, walking, or in a moving vehicle. With 5G, cellular positioning breaks new ground to bring robust precise positioning indoors and outdoors, to meet even the most demanding Industry 4.0 needs. As we look to the future, the Connected Intelligent Edge will bring a new dimension of positional insight to a broad range of devices, improving wireless use cases still under development. We’re already charting the course to 5G Advanced and beyond by working on the evolution of cellular positioning technology to include RF sensing for situational awareness. Download the deck to learn more.

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Alan Quayle

Dean Bubley, Disruptive Analysis. The telecoms industry loves to claim that 5G will disrupt and transform industries. What it hasn’t realised is that the first industry that will get disrupted is telecom itself. New local or shared spectrum bands (such as CBRS in the US), programmable cloud-based cores, eSIM and various other enablers are making it much easier for enterprises, IT companies, cities and Internet/cloud players to build their own private 4G – and soon 5G – networks. That’s not to say it’s as simple as installing Wi-Fi, but for various organisations from airports to oil companies to hospitals, it’s becoming a more realistic proposition. There are also various hybrids, where telcos can sell “slices” or local/enterprise MVNO deals, or allow companies to just run a separate private core network. Add in a new set of wholesale models (called Neutral Host), and the future wireless operator landscape looks very different from today. We’re seeing the democratisation of “programmable cellular networks”.

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AI firsts: Leading from research to proof-of-concept

AI has made tremendous progress over the past decade, with many advancements coming from fundamental research from many decades ago. Accelerating the pipeline from research to commercialization has been daunting since scaling technologies in the real world faces many challenges beyond the theoretical work done in the lab. Qualcomm AI Research has taken on the task of not only generating novel AI research but also being first to demonstrate proof-of-concepts on commercial devices, enabling technology to scale in the real world. This presentation covers: The challenges of deploying cutting-edge research on real-world mobile devices How Qualcomm AI Research is solving system and feasibility challenges with full-stack optimizations to quickly move from research to commercialization Examples where Qualcomm AI Research has had industrial or academic firsts

Ericsson Technology Review: The future of cloud computing: Highly distributed...

The growing interest in cloud computing scenarios that incorporate both distributed computing capabilities and heterogeneous hardware presents a significant opportunity for network operators. With a vast distributed system (the telco network) already in place, the telecom industry has a significant advantage in the transition toward distributed cloud computing. This Ericsson Technology Review article explores the future of cloud computing from the perspective of network operators, examining how they can best manage the complexity of future cloud deployments and overcome the technical challenges. Redefining cloud to expose and optimize the use of heterogeneous resources is not straightforward, but we are confident that our use cases and proof points validate our approach and will gain traction both in the telecommunications community and beyond.

Making AI Ubiquitous

We envision a world where devices, machines, automobiles, and things are much more intelligent, simplifying and enriching our daily lives. They will be able to perceive, reason, and take intuitive actions based on awareness of the situation, improving just about any experience and solving problems that to this point we’ve either left to the user, or to more conventional algorithms. Artificial intelligence (AI) is the technology driving this revolution. You may think that AI is really about big data and the cloud, and yet Qualcomm’s solutions already have the power, thermal, and processing efficiency to run powerful AI algorithms on the actual device. Our current products now support many AI use cases, such as computer vision, natural language processing, and malware detection — both for smartphones and autos — and we are researching broader topics, such as AI for wireless connectivity, power management, and photography. View this presentation to learn about our AI vision, including: Why mobile is becoming the pervasive AI platform The benefits of AI moving to the device and complementing the cloud The benefits of distributed processing for AI Qualcomm’s long history of AI research and development What the future of AI processing might look like

Ericsson Technology Review: Creating the next-generation edge-cloud ecosystem

The surge in data volume that will come from the massive number of devices enabled by 5G has made edge computing more important than ever before. Beyond its abilities to reduce network traffic and improve user experience, edge computing will also play a critical role in enabling use cases for ultra-reliable low-latency communication in industrial manufacturing and a variety of other sectors. This Ericsson Technology Review article explores the topic of how to deliver distributed edge computing solutions that can host different kinds of platforms and applications and provide a high level of flexibility for application developers. Rather than building a new application ecosystem and platform, we strongly recommend reusing industrialized and proven capabilities, utilizing the momentum created with Cloud Native Computing Foundation, and ensuring backward compatibility.

Leading Research Across the AI Spectrum

Edge AI and Vision Alliance

Artificial Intelligence (AI) is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep neural networks of today are growing quickly in size and use too much memory, compute, and energy. Plus, to make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget. Fundamental research, in AI as well as applying that research, is required to advance AI further and speed up adoption. In this presentation, learn how: * Several research topics across the entire spectrum of AI, such as generalized CNNs and deep generative models * AI model optimization research for power efficiency, including compression, quantization, and compilation * Advances in AI research to make AI ubiquitous

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Slack's Ali Rayl on Scaling Support for User Growth

Heavybit

In this Heavybit Speaker Series Presentation, Ali Rayl talks about building Slack's Support Stack particularly after the company's exponential growth spikes. Ali Rayl is the Director of Quality and Support at Slack where she’s built the team to manage more than 5,000 corporate clients including Stripe, Rdio, Medium, Airbnb, Expedia and Buzzfeed. In the past she was the Director of QA at Songbird — an open-source cross platform music player built on Mozilla’s XULRunner and GStreamer. Full Video available Here: http://www.heavybit.com/library/developer-operations/video/2014-09-16-ali-rayl

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A SaaS Metric designed to Increase Free Trial Conversions

Lincoln Murphy

CCAs & Engagement – An Uncommon Way to Engage & Convert Prospects in Your SaaS Free Trial. A few years ago I came up with a set of metrics that I called Common Conversion Activities – or CCA – that I defined as “The things that all or most paying customers do during their trial.” In July 2012 I gave a 54-minute presentation where I introduced the next version of this ever-evolving set of metrics for measuring Free Trial success, the CCA, and I want to share that with you now. See the video of this presentation here: http://sixteenventures.com/free-trial-metrics

How (and When) to Hire a Great VP of Customer Success Management CSM

Gainsight

The VP of Customer Success role has become one of the hottest hiring priorities for companies in the Subscription Economy. Although the impact is now widely recognized, businesses still struggle with identifying the right time to bring on a CSM leader, and furthermore, how to recognize truly great candidates. Join a lively conversation between Nick Mehta, CEO at Gainsight, Tomasz Tunguz, Partner at Redpoint Ventures, and Monica Adractas, VP of Customer Success and Retention at Box as they share how (and when) to hire a great VP of Customer Success. In this webinar, you’ll learn: - How data supports hiring a VP Customer Success earlier in the company lifecycle - What the key characteristics of greatness are and how to identify them early - How maturing companies have evolved the VP Customer Success role to meet the changing needs of their customer base Featuring: Tomasz Tunguz, Partner at Redpoint Ventures; Monica Adractas, VP of Customer Success and Retention at Box; and Nick Mehta, CEO at Gainsight

How to Drive Growth with Customer Success Metrics

Gainsight

The most successful Enterprise SaaS companies know that growing revenue only through new customer acquisition is the less efficient way to scale. Rather, they understand that growing revenue within your existing customer base - through up-sells, cross-sells, and expanded use - is the most profitable way to scale. In fact, Enterprise SaaS companies that grow revenue - and company valuation - by expanding revenue within their existing customer base also know the key to making this work is to focus on - and operationalize - Customer Success. This presentation - How to Drive Growth with Customer Success Metrics - is from Pulse 2014, the biggest Customer Success industry event ever and included panelists Aaron Ross, author of Predictable Revenue, Jason Lemkin of Storm Ventures, Tomasz Tunguz of Redpoint Ventures, and Brian Stafford McKinsey.

SaaS Accounting: The blueprint to understanding and optimizing

Price Intelligently

A bad accountant or finance manager can spell doom for your company though by causing you to not invest cash that you should be or worse - spending money you don’t have in the bank. This is why you need to know your SaaS accounting chops, too. To help, let’s walk through a breakdown of how revenue flows through your business from a booking all the way to cash collected. Here we walk through exactly how to calculate ARPU (Average Revenue Per User) including what to and not to include in the calculation, as well as how to optimize this crucial SaaS metric.

9 Worst Practices in SaaS Metrics

Christoph Janz

The Secrets to SaaS Pricing

• 3. The 3 Models of SaaS Pricing1How to Pick the Best Price28 Pricing Hacks3How to Test New Pricing4We’ll cover... • 4. Model 1: Targeting Small Businesses1 • 5. Self-service, no sales team, limited support • 6. Pricing in the $10 - $100/month rangeThis mean you need to focus onscale and acquiring customerscheaply. • 7. Similar companies • 8. Model 2: Targeting Enterprise2 • 9. Sales team, contracts, full support • 10. Pricing is $1,000s or $10,000s/monthVery little is automated, your teamwill be working very closely witheach customer. • 11. Similar companies • 12. Model 3: The Mid-Size Hybrid3 • 13. Automated marketing with a sales team • 14. Pricing is $100’s/monthYou’ll need to scale your leads butyou’ll have a full sales team toclose them. • 15. Similar companies • 16. Pick the right price range for your vision • 17. 2 Bad Methods for Pricing • 18. 1. Product cost + X%You’ll undercharge somecustomers and overcharge others. • 19. 2. What does the customer want to pay?People have no idea until you askthem for their credit card. • 20. Pricing by Value • 21. Value-Based PricingYour customers get value worth $Yand it only costs them $X. • 22. For B2B, focus on money earned or saved • 23. How much extra revenue do they earn?1How many hours do they save?2What other costs do they avoid?3Ask your customers: • 24. Capture more value from each customer. • 25. There’s no such thing as a perfect price.If you need more guidance, pick aprice that’s 10% of the valuedelivered. • 26. 8 Pricing Hacks8 • 27. Rule 1: Go AnnualYou’ll improve cash flow, reduceyour churn, and improve yourrevenue. • 28. Rule 2: Don’t Add Unnecessary Digits$1000 looks cheaper than $1,000or $1000.00 • 29. Rule 3: Avoid Discounts Unless LaunchingDiscounts create destructivecustomer habits. Do not use themregularly. • 30. Rule 4: Offer Multiple Prices to Anchor • 31. Rule 5: Use pricing plans to segment customers.Different customer types getdifferent value from your product.Capture that value. • 32. Rule 6: Double Your PriceWe all tend to UNDERvalue our ownservices. • 33. Rule 7: Be Careful With Freemium PlansVery difficult to make it work in B2Bmarkets. • 34. Rule 8: Grandfather Old Customers InAs long as you don’t raise pricesfor old customers, you won’t getany complaints. • 35. These are rules, not laws. • 36. How to Test New Pricing - 4 Steps • 37. Step 1: Track subscription plans for all customersSubscription plans1Each monthly charge2Any cancelations3Access to total revenue, averagerevenue per user, and churn4 • 38. Step 2: Launch Your New Pricing Page • 39. Step 3: Track your entire funnel • 40. Step 4: Track ARPU and churn • 41. KISSmetrics helps you find the right priceConnects all data to individual people1A/B tests for your entire funnel2See which plans are most profitable

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Go-to-Market Best Practices for Startups

a16z

Looking to scale something up? Depending on how you're going after your market/ acquiring users, you may need to build a sales organization that's optimized for a top-down or bottom-up sales process (or perhaps both). Watch the video overview at http://a16z.com/2015/03/06/go-to-market-bootcamp/ and then check out this slide deck, which shares some concrete tips and tools for accelerating time to market -- from the go-to-market experts at a16z, led by 'sales savant' Mark Cranney. Because selling to enterprises is a lot like getting a bill passed through Congress: it can get stuck. And getting stuck -- or going down the wrong path -- can mean death to startups in a competitive market. Here's how to avoid that.

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SaaS Marketing Plan: 5 Ways to Get your B2B App to Sell Itself

Lincoln Murphy

Your B2B SaaS app will not sell itself unless it is designed to do so. This is a guide to getting your B2B SaaS to 'sell itself' was created by noted SaaS Marketing expert and Growth Hacker Lincoln Murphy of Sixteen Ventures. This guide is full of actionable, unique, and thought-provoking ideas - Growth Hacks if you will - that are designed to allow your product to sell itself. From attracting the right audience and driving user engagement, to making it easy to buy and easy to share through orchestrated virality, this guide covers all aspects of what's necessary to drive growth with SaaS companies of any stage and serving any market. Whether you have a self-service sales model or one that requires outside sales reps to drive business, the tips and techniques contained in this guide and the source blog post will help you achieve your goals of efficiently scaling your sales process.

How to Develop Your SaaS Pricing Model

Lincoln Murphy

Developing the pricing model for your B2B SaaS app is one of the biggest marketing challenges your company will face. This is a guide to developing your SaaS pricing model was created by noted SaaS Marketing expert and Growth Hacker Lincoln Murphy of Sixteen Ventures. This guide takes you through the questions you need to ask about not just your market and customers, but about your company and goals, to help you figure out your SaaS pricing model. Whether you have a self-service sales model or one that requires outside sales reps to drive business, the tips and techniques contained in this guide and the source blog post will help you create a profitable and successful SaaS pricing model.

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