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Wilson explains the value of accurate training data for AI to ensure deployed applications are free of bias and ROI achieved 1. Tell us about yourself and how you came to be in your current role as the CTO at Appen? I joined Appen in November 2018 as CTO and am responsible for the company’s products and technology. Before joining Appen, I was Chief Data Officer of CTrip in China, the second-largest online travel company in the world, where I led data engineers, analysts, data product managers, and scientists to improve user experience and increase operational efficiency that grew the business. Earlier, I was also the Senior Director of Engineering at eBay California and provided leadership to various domains including data service and solutions, search science, marketing technology, and billing systems. I worked as an architect at IBM before eBay, building technology solutions for various clients.
Stephen shares his insights on PubNub’s Real-time Communication Platform, and how AI bot conversation APIs can improve cost efficiency, CX for businesses 1. Tell us how you came to be the co-founder and CTO at PubNub? What does your role entail? As one of the founders of PubNub, I drove the initial architecture Building a core engine that has successfully scaled some of the largest real-time deployments in the world is still my main focus as CTO. The CTO role is different at each company, as many offer technical oversight and guidance. At PubNub, our architecture team is strong. We think of it as a counsel of CTOs operating a global network delivering trillions of JSON payloads to 780M mobile devices.
CEO Dillon Erb of Paperspace cloud-native machine learning platform examines the challenges developers face in getting real value from ML programs 1. Tell us how you came to be the co-founder and CEO at Paperspace. How did developing cloud native machine learning platform become your career path? I’m the co-founder and CEO of Paperspace, where we are building a cloud-based MLOps platform for machine learning teams. Prior to co-founding Paperspace, I worked in architecture and engineering, most notably looking at structural performance within large building structures. I’ve spent a significant amount of time developing genetic and evolutionary algorithms for tensile structures. My expertise is in low-level optimization problems and designing the ways we can more easily manage and interact with them. These days I spend most of my time applying that background in optimization techniques to cloud GPU pipelines and the exciting and emerging deep learning space.
Gregory Blondeau, founder and CEO of visitor check-in software Proxyclick, discusses how AI can help companies once they start digitizing visitor data
Elie Melois, CTO at Lum Apps AI-based Employee Communication System discusses how SaaS and AI-based apps are aiding employee productivity during COVID 1. Tell us about your role at LumApps. I’m the co-Founder of LumApps, and serve as the CTO to lead our product and engineering team in the planning, strategy and execution of our technology roadmap. Our team is continually focused on developing news ways to enhance our platform and make it more impactful for our customers. I also lead the research around the latest global technology trends and their applicability with our capabilities.
Indranil focuses on the role of evolving AI / ML technology to analyze real-time data for worker safety and enhanced productivity 1. Tell us about your role at Guardhat? Guardhat is an early stage start-up venture backed by investments from some of the largest industrial corporations globally. We have been developing our product (devices & the connected worker software platform) for over 5 years. December ‘2019 was when we started going out to the market with our solution. My role cuts across customer acquisition, product implementation, deployment of our solutions, marketing, building alliances and creating channel partners apart from working closely with the engineering team to decide on our product road map.
Fashion industry is the one industry that has to stay in trend no matter what, with such pressure in place, learn what role AI has to play in revolutionizing the entire fashion scape. AI has entered into a range of sectors with the ability to revolutionize companies and their growth through innovative technology, efficient operations and access to consumer and industry insights – that will offer a promising competitive advantage.
Learn how Data Analytics has made a distinct place for ensuring business effectiveness via reinforced strategization and the role AI has to play in the same.
Blockchain & IoT would be the aggregated buzzword when it comes to enhanced security. Learn more about how a power combo of these two breaks several hacking barriers.
With Big Data comes big risks & the pain of handling the risks, hence we bring to you our comprehensive pain-relief guide to combat Big Data challenges for bigger victories. The word “Big” in Big Data is not even that big at the level the data is being generated. The volume, velocity and variety of data – which is being curated and stored have overwhelmed the capabilities of infrastructure and analytics we have today. We are experiencing Moore’s law for data growth: data is doubling every 18 months.