Every enterprise today wants to accelerate innovation by building AI into their business. However, most companies struggle with major challenges around access to large data sets, availability of engineers with the right level of experience, and scalable infrastructure — making it nearly impossible to take their AI initiatives from lab experiments to business outcomes in production. Join this ½ day workshop to learn how a unified approach to analytics can help you bridge the gap between big data and machine learning.
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This talk will focus on new updates from the March release of Spark 2.3 such as streaming, vectorized UDFs, and Kubernetes. Next, we'll go through an introduction to Spark machine learning pipelines with Decision Tree Classifier models. Join Databricks' Joseph Kambourakis for this talk.
Organizations that successfully apply AI innovate and compete more effectively. Those who fail to implement AI successfully will fall behind. The AI Conference in New York will give you a solid understanding of the latest breakthroughs and best practices in AI for business. You’ll get insider information on any aspect of AI you may be working on including: -AI in the enterprise: executive briefings, case studies and use cases, productization, security, conversational interfaces, industry-specific applications -Implementing AI projects: applications, tools, architecture, security -The impact of AI on business and society: automation, AI explainability and trust, privacy, regulation -Interacting with AI: design, metrics, product management, bots Models and methods: reinforcement learning, algorithms, vision/speech/emotion, deep learning, training, generative adversarial networks (GAN), natural language processing (NLP)
Join more than 4,000 developers, engineers, data scientists, AI experts, researchers and business professionals for three days of in-depth learning and networking. With tracks including AI, Deep Learning Frameworks, Apache Spark Experience and Use Cases, Developer, Data Science, Enterprise, Machine Learning, Technical Deep Dives, Python and Advanced Analytics and more— there’s content for every level and role. You can also add on a 1-Day training course or a Spark Certification Prep Session and exam.
On June 20-21, 2018, global leaders from government, education, and nonprofit organizations will come together for the ninth annual AWS Public Sector Summit in Washington, DC. The move to the cloud is unlike any other technology shift in our lifetime. Don’t miss this opportunity to learn how to use the cloud for complex, innovative, and mission-critical projects. With over 100 breakout sessions led by visionaries, experts, and peers, you’ll take home new strategies and tactics for shaping culture, building new skillsets, saving costs, and achieving your mission.
AWS Global Summits are free events that bring the cloud computing community together to connect, collaborate, and learn about AWS. Summits are held in major cities around the world, and attract technologists from all industries and skill levels who want to discover how AWS can help them innovate quickly and deliver flexible, reliable solutions at scale. When attending an AWS Summit, you will hear from AWS Leaders, Experts, Partners, and Customers. Learn by attending technical breakout sessions, demonstrations, hands-on workshops, labs, and team challenges. Network with AWS Partners and your peers in our Partner and Solutions Expo.
Every year thousands of top data scientists, analysts, engineers, and executives converge at Strata Data Conference—the largest gathering of its kind. It's where technologists and decision makers turn data and algorithms into business advantage. Data and AI technology drive everything—from competitive strategy and new lines of business, to supply and logistics, to customer management and marketing automation. At Strata, you'll learn what you need to succeed: -Achieve demonstrable ROI for your data projects -Increase efficiency and innovation -Reduce costs and risk -Build security, compliance, and transparency into your data products -Apply new machine learning techniques to solve business problems -Architect data applications that achieve your specific goals—whether it's fraud detection, targeting & segmentation, or anticipating your customer's next moves
Join more than 2,000 developers, engineers, data scientists, AI experts, researchers and business professionals for three days of in-depth learning and networking. With tracks including AI, Deep Learning Frameworks, Apache Spark Experience and Use Cases, Developer, Data Science, Enterprise, Machine Learning, Technical Deep Dives, Python and Advanced Analytics and more— there’s content for every level and role. You can also add on a 1-Day training course.