Join Amazon Web Services (AWS) and global intelligence provider, IDC, for a training-based session on transforming your data to power machine learning and AI projects. Learn how to prepare data pipelines that automate your machine learning and AI workflows, use AWS Data Pipeline to automate data movement and transformation, unlock insights that fuel your business, and explore software solutions in AWS Marketplace that make your data analytics-ready.
Investment in artificial intelligence (AI) is growing, with 60% of adopters raising their budgets 50% year over year, according to Constellation Research. But working with AI under emerging privacy standards is complex, requiring a dynamic balance that allows for continued innovation without misstepping on regulatory requirements. Under privacy regulations, businesses are responsible for gaining consent to use personal data and being able to explain what they are doing with that data. There is a real concern that black box automation systems that offer no explanations and require the long-term storage of large customer data sets will simply not be permitted under these regulations. Data regulations often have a negative connotation for companies, but with AI, the regulations could have the opposite effect.
BST: 15:00 As artificial intelligence (AI) and (ML) initiatives mature, enterprises face significant scalability and operational challenges while struggling to systematically productionalize their ML pipelines. ML architectures tend to be constrained by data gravity, compute requirements and model integration complexities. In this complimentary webinar, Gartner for Technical Professionals expert Soyeb Barot examines the framework to build and deploy ML models in production alongside operationalizing the machine learning development lifecycle (MLDLC). He also will set out the implementation strategy for an architecture to deliver AI-based systems. Return to this webpage to watch the webinar live and on-demand.
John Lynn is the Founder of the HealthcareScene.com, a network of leading Healthcare IT resources. The flagship blog, Healthcare IT Today, contains over 13,000 articles with over half of the articles written by John. These EMR and Healthcare IT related articles have been viewed over 20 million times.
New York-registered startup Gemeye is an example of just how the fourth industrial revolution has digitised traditional sectors like jewellery. The world is going digital and so is every industry, and technologies like artificial intelligence (AI), machine learning (ML) and internet of things (IoT) rapidly changing the way we live, eat, and, most importantly, shop. Ecommerce giants including Amazon and Flipkart have made shopping so easy that you can buy anything your heart desires by not even stepping out of your home. And this ecommerce breeze is slowing reaching hitherto traditional, offline sectors like high-end jewellery as well. Gemeye is helping traditional family jewellers launch their very own online stores and list their products with ecommerce giants.
When it comes to defeating fraud, is your AI reality falling short of AI hype? Are you concerned your organization isn't realizing the AI-powered results you were led to expect? There's a lot of hype around AI, but it takes more than just great algorithms to realize true value. The good news is, your organization can achieve the kind of results you deserve, with dCube, the comprehensive AI-powered fraud management solution from DataVisor. Please expect a confirmation email shortly.
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How do market-leading organizations help data science teams do their best work within the constraints of the enterprise? Data science teams need fast access to business data and a diversity of tools for end-to-end machine learning that can make it challenging for IT to quickly enable them while maintaining data governance and controlling infrastructure costs. In this webinar, discover how Cloudera Machine Learning (CML), part of the new Cloudera Data Platform (CDP), brings the agility and economics of cloud to self-service data science on governed business data at scale. A consistent user-experience that doesn't change when the business moves data or infrastructure The webinar includes a live product demo that will highlight features for IT and end-users.