KEYNOTES & FEATURED SPEAKERS
Wednesday, August 3, 2022
KEYNOTE: Cloudflare -- Transform and Secure Your Organization Faster: Internet-Native Architectures Helping You & Your BusinessJoin on Hopin
We’re all facing more and more apps moving to the cloud, teams working remotely, amid growing and evolving security threats. When it comes to security, there’s never a single destination. The biggest risk is committing to an approach that locks you out of your own future — think of roadblocks like moving along a vendors’ legacy approach forward just because it’s there, or restricting your options because of choices someone else made years ago. Today and tomorrow, more than ever, organizations of all sizes need highly effective security delivered via an Internet-native architecture that consistently bends and flexes to tackle the challenges of our current landscape, and that innovates at a pace to help you foresee what’s ahead. Join this vendor-agnostic session, where we’ll learn about how you can be equipped to face new emerging threats, with essential capabilities for business continuity, and scale instantly without worry:
— Why this is happening now: shifting your network and security infrastructure to the cloud and consolidating it into one composable services platform.
— How to evaluate: if a security platform is built on a trusted, resilient, and flexible zero trust network, architected for where networking is going.
— How to adopt: everything you need today and tomorrow to secure your business so you can operate it easily, at your own pace, at lower cost, and with consistent and relentless innovation to help you and the organization scale.
FEATURED TALK: AI in 2022: How Venture Capitalists Approach Investing in the Next Generation of AI-First CompaniesJoin on Hopin
his session provides a business-oriented overview of how venture capitalists approach investing in AI-first companies. Samantha examines the current state of AI technologies and the biggest potential growth areas for AI innovation from a venture capitalist’s perspective. In doing so, she also provides her methodology for finding the “next big thing” in the AI startup landscape.
Developers who still thumb their nose at low-code application development probably harbor a number of misconceptions that are quickly becoming outdated. False notions that low-code “is only for non-professionals or ‘citizen developers’,” “is just for prototyping,” or “can’t handle enterprise-grade scalability, performance and security needs” only postpone developers from realizing its actual potential. In truth, low-code done right can multiply efficiency and put advanced emerging technological capabilities within any developer’s grasp.
The key advantage of low-code? API connectivity. The best low-code strategy will give developers a drag-and-drop UI for assembling Lego-like code blocks into complete applications. Get humming and you can make initial application development and iterative improvements 10x faster (at a minimum) than hardcoding. Low-code also automates away the block-and-tackle busywork of application development (read: a more enjoyable developer experience), while making access to emerging capabilities like AI/ML, big data, IoT, voice and messaging, blockchain, and APIs as simple as dragging an icon across a screen.
This Dev Innovation Summit talk will dig into the latest ideas and best practices that developers should know about low-code as they overcome still-common misconceptions, and as they vet potential paths forward for production use cases.
Does your product inspector need to know every possible defect that could happen in the manufacturing line? Its easy to create rules on size, shape, color, temperature, etc. These are objective and measurable. However, many other defects arise in products that are just not easily defined with such rules. For example, presence of foreign contaminants in food processing. Human inspectors make use of measuring and machine learning tools to assist in performing their job, but there is still a largely subjective component. New and advanced AI technology can be another tool in the toolbox. With our product, VIA, you can create production ready AI inspection models using only a small subset of good data. From here, decisions on good vs bad products or location of defects can be made by VIA. In addition, calibration to factory conditions and new data points can be easily used to update and improve performance with almost no down time to the line.
The ability to analyze data has long been thought of as a thing you do at your computer. But in this talk we share taking insights from easy-to-use consumer products like Facebook, Linkedin and Robinhood it is possible to take complex query-writing and reimagine interfaces to work for people on their mobile devices.
We'll cover the complexities in handling long running queries on intermittent mobile connections, work required to optimize queries for display on mobile, and show a live demo of how all this works together to make it possible for everybody - from developers to truck drivers to use data wherever.
Laura will describe how to build a machine learning center of excellence within an established business. She will describe how to hire a team, how to iteratively build and evangelize a machine learning platform, and how to quickly build and deploy high-value ML products. Learn how to avoid common pitfalls and costly errors.
As online shopping explodes, brick-and-mortar experiences have maintained one persistent advantage: the ability of consumers to preview the real, 3D version of what they want to buy … for now, at least. Commerce-focused tech and software companies are investing heavily in AR platforms that will change the way customers shop and buy. This means creating 3D models to preview home goods in a living room, “try on” virtual clothes, and more. We’re just on the horizon of this tech becoming mainstream. So what does that mean for your business? Discover the opportunities and final barriers are to this tech becoming mainstream, what we can expect in five years, and specific examples of brands that are investing smartly in getting ahead of this.
By 2030, there will be nearly 23.1 million electric vehicles hitting the road globally—but are we ready to have that many EVs on the road? To support this growth, we need to invest in our infrastructure and make charging stations as accessible as gas stations. Using his prior experience working at the US Department of Energy during the first Obama administration, where he led a $12 billion renewable energy and efficiency investment program, Toby will discuss what infrastructure and investments—from sustainable energy to national security—are needed to make EV travel more realistic for the general public.
Over the last two years, LinkSquares' growth exceeded 1,000%, their customer base grew to more than 400 brands - including Fitbit, Twilio, Wayfair, and Cogito - and the company was recently placed No. 253 on the annual Inc. 5000 list of the fasting growing private companies in America. In this talk, Vishal can give the founder’s perspective of scaling the company from $1M to $10M ARR, and dive into all of the challenges, lessons, triumphs, and failures that come along with the journey.
As cities and towns across the country continue to grow, traffic, congestion, and the lack of parking are becoming more common. Although improving infrastructure, investing in roads, and adopting common sense policies can help alleviate the problem—in our day and age, technology can be a crucial tool in our efforts to address these challenges. How can machine learning facilitate commutes across the country while making our country’s roads more efficient? In the same breath, how can we help local municipalities tackle the challenges of outdated infrastructure and modus operandi? By using various data sets—from weather, traffic, and parking—machine learning is a crucial tool in unlocking our country’s roads for more efficient rides and overall smooth road experiences. These data points, along with the strengths of machine learning, have the potential to empower local governments across the country to address the challenges they face in terms of intra-city transportation. Likewise, the key to adopting policies that benefit commuters and citizens lies within these learnings. Creating efficient roads and setting riders free is possible by collecting key data and machine learning.
Thursday, August 4, 2022
You're making big bets on customers engaging with your enterprise through mobile, but the observability ecosystem today is datacenter-first. General purpose observability platforms can identify failures in virtualized infrastructure, containers and Kubernetes, microservices, and cloud-native architectures, but most view what's happening on a mobile device only through the lens of a few metrics alongside basic crash and error data.
Mobile experiences can be impacted by an endless combination of user actions, devices, connectivity, third-party SDKs, location variables, and more. The largest revenue-impacting issues and optimization opportunities are uncovered when you capture the data from every session, and can understand it both from an aggregate impact (like what crashes are occurring), and from an individual user and session basis.
Generic, horizontal SaaS solutions fall flat on their face when trying to tackle problems inherent to complex and highly regulated industries such as life sciences. To solve real-world customer problems, SaaS providers need customizations, compliance, and domain understanding. Enter vertical SaaS. Dipanwita can share her experiences building a vertical SaaS company in a horizontal SaaS world, the driving factors, challenges, and long-term opportunities.
Demonstrating how we are using technology as a tool to positively impact and change the face of farming to tackle real world issues. Dimitra believes that every farmer, regardless of economic standing, should benefit from simple, beautiful, and useful technology.
KEYNOTE: OneSignal -- How to Win with Mobile Messaging in a Multi-Channel Customer Engagement StrategyJoin on Hopin
Brands looking to increase customer acquisition and retention are finding that messaging tactics that once worked are no longer driving the results they once did, and are developing more intelligent, personalized approaches to deliver messages that matter to their customers and stand out in a noisy world. Mobile channels have become a top priority for many brands.
OneSignal recently analyzed data from 100 billion messages and survey responses from 500 customers across industries, and identified key insights showing how the most successful companies are increasing mobile customer acquisition and retention. Some highlights include:
-61% identified mobile as the most effective channel for their business
-Companies that use two or more communication channels achieve 220% higher customer retention
-44% said mobile push notifications are the most effective re-engagement channel
-In-app messages have 25 to 30 times higher click-through rates than push notifications
-54% said mobile messaging will continue to be the most important channel for the next two years
Personalized messages have a 259% higher engagement rate
For mobile platforms, pre-permission prompts improve iOS opt-in rates by 50% and Android rates by 15%
This session will dive into the full results of the study and highlight actionable ways that companies use them to develop better mobile customer experiences.
NFTs are more than just JPEGs of Monkeys. NFTs have a great set of potential uses and ways to think about working with them in your businesses and products. Rob shares APIs to quickly use to create NFTs and help integrate them into a product.