Wednesday, August 3, 2022
In the session I will be discussing about Tezos, how to build smart contracts using tezos. How Web2.0 is different from Web3.0. At the end, Question and Answers could be taken.
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.
This session will aim to introduce the audience to the basics of cloud security and the security model for Public clouds. Further, the emphasis will be mostly on Cloud Security Posture management, introduction and overview of cloud native CSPM services (like AWS Security Hub, Azure Defender ) and a short demo on how these services help automate best practice checks, aggregates alerts, and support automated remediation.
A complex data flow is a set of operations to extract information from multiple sources, copy them into multiple data targets while using extract, transformations, joins, filters, and sorts to refine the results.
These are precisely the capabilities that the new open modern data stack provides us. Spark and other tools allow us to develop complex data flow on large-scale data.
Chaos Engineering concepts discuss the principles of experimenting on a distributed system to build confidence in the system’s capability to withstand turbulent conditions in production. Or, how stable is your distributed system?
Let's see how we combine these two worlds to build more stability and reliability into our dataops.
Simplicity certainly has its virtues. The KISS Principle [keep it super simple] favors simplicity over complexity in system design and operation. As software engineers are vanguarding into innovation work to deliver features, from the outside they might seem like they thrive on complexity constantly solving unknowns. Though there is a long road between the idea and production. Even when developers are on and off-boarded to different teams, mileage might vary in the same organization due to very different paths to production.
Cognitive load and context switching can really slow feature velocity down. Also having overly complex routes to production puts a damper on Developer Experience [DX]. With what seems like a bulk share of the technology verticals shifting left since they can be provided as code/configuration e.g YAML, expertise can be lost without a proper platform engineering domain. A major goal of platform engineering is to keep the experience similar across teams.
Learn in this session about keeping goals to KISS and how that can be achieved to even create a “consistent one-line developer experience” [they say the easy button is hard to create]. Reducing toil and complexity can lower the bar of entry for software engineers to focus more on innovation. As technologies and ecosystems change, providing a consistent experience is key. Supporting faster iteration allows organizations to consume new technology and build internal expertise quicker and provide a quicker time to value.
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.
Rashid can discuss how drivers can use A.I. and cloud technology to fill the safety gap on the road when traveling and commuting. The Driver app has tens of millions of miles of anonymized in-house data to improve users driving habits, and the Driver app’s live alerts system could help prevent thousands of on-road collisions before they happen. Rashid can discuss how most accidents caused on roads are due to human error and how adopting A.I. and machine learning through video telematics in mobility assistance devices could avoid tens of millions of serious injuries a year. Plus, he can discuss how future uses could include additional safety features, such as tailgate monitoring, driver distraction, and drowsiness monitoring. The Driver app’s low cost solves a global need for safety, not just an American need. Rashid and the Driver Technologies team are looking forward to engaging with the rest of the world, where more than 90% of road fatalities occur.
Scaling an engineering team is challenging and costly. Many leaders focus on the best process or project management tools to maximize productivity, and finding the best engineers to maximize code quality. However, the choice of tech stack and architecture can in fact give your organization the biggest boost. Tune in to hear about monorepos, micro-frontends, and micro-services, and how a few simple technical choices enabled a tech team to accelerate their velocity.
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.
While infrastructure has evolved from on-prem to cloud, application architectures have evolved from client-server to Cloud-native and development practices have evolved from Waterfall to Lean Agile/ DevOps, operations is still siloed and stuck in the past at many organizations. In this session we will explore how to build an integrated approach to cloud workload management that is built on Site Reliability Engineering principles and a product-oriented approach to run operations. If you are already on Cloud or thinking to migrate to cloud, join us to hear how you should be thinking about designing for reliability, cost and performance while you run cloud workloads to optimize.
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.
This session highlights salient learnings from speaker’s long experience of managing software engineers and managers. The session covers various software engineering habits and attitudes that can propel any software developer into a high performance state. Various elements of engineering practices about operational excellence, innovation, product-thinking, and technical leadership are discussed with examples.
Thursday, August 4, 2022
During the pandemic we've all been feeling pretty isolated, and we've all been doing our best and wearing masks. But what if everyone wearing masks cuts off your ability to converse?
My dear mum relies on lip reading and clear sounds to understand what people are saying. But I, of course want her to stay safe. So the thought occurred. Can I make a live captioning display fit into a mask so that she can read what I'm saying as I'm speaking?
Live captioning of speech to text has so many useful applications and Cognitive Services makes it fast and easy to build captioning into your applications. Together with Ably Realtime, it is possible to make wearable devices which can display what you’re saying, in real time. Wearable Live Captions!
Lewis will discuss what it takes to lead engineering teams building blockchain-powered products to keep up with mainstream demand. From implementing effective hiring methods to strategizing team roles and responsibilities, Lewis will share how technical leaders can hire and inspire high-impact teams to build industry-leading products. He will integrate key lessons learned while scaling the engineering team at Blockchain.com and increasing technical headcount.
Learn how to build a API for a machine learning pipeline using real-world example. Validate the machine learning algorithm outcome. Explore options on how to scale live prediction API.
Using cloud based Cognitive Services to translate a very large volume of documents in multiple languages and of multiple formats with high performance.
Is your enterprise ready to engage its customers and employees in new immersive experiences powered by web3 and the Metaverse. With Facebook's Horizons and Microsoft's Teams making significant product investments into creating underlying Metaverse Platforms for enterprises to launch both employee and customer-facing experiences, organizations would need tailored conversational strategies and specialized tools to drive effective engagement on these evolving Metaverse platforms . This session will explore the critical role of Conversational AI technologies in creating effective Metaverse solutions and experiences, and also address the key considerations for conversational AI in applications of Metaverse technologies for improving work productivity, deploying interactive learning environments, and powering e-commerce.
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.