DW talks to Asger Pedersen, Technical Lead MLOPs at DataRobot, about the emerging opportunity around MLOps. The conversation covers everything from the MLOps basics, MLOps implementation best practices and the benefits this relatively new technology offers. Asger also explains DataRobot’s approach to MLOps as well as sharing his views on how he sees the market developing over time.
Watch OnlineDW/DCS talks to Richard Clifford, Head of Innovation at Keysource, about the launch of a new facilities maintenance service - Keysource Artificial Intelligence (KAI) - which uses machine learning and artificial intelligence technology to help organisations transform their edge operational management strategy.
Watch OnlineOn this podcast edition, Eric Nielsen, Sr. Director Social Media & Communities and his Co-host: John White, Systems Engineer, will have a roundtable discussion w/ Justin Murray, VMware Technical Marketing Architect to talk about Machine Learning on vSphere
Watch OnlineUiPath robots can leverage Machine Learning to gain skills. This demo shows a robot that learned to read receipts and create expenses in Concur.
Watch OnlineLearn how ITOps teams can apply machine learning and advanced analytics to manage the ever increasing volume of operational data across complex, hybrid environments. AIOps use cases including event noise reduction predictive alerting and probable cause analysis enable ITOps to optimize the performance and health of infrastructure and applications while supporting business innovation.
Watch OnlineEnterprise Story - Democratising access to superior technology with machine learning agents. Watch Danny Lange, VP of AI and Machine Learning at Unity Technologies on stage at World Summit AI 2018 in Amsterdam.
Watch OnlineBased in Seattle, Suplari aims to help enterprises better manage their procurement process by leveraging machine learning to drive cost savings. The startup does this by pulling together a company's spend data from across all its various systems, then running the data through Suplari to surface irregularities and inefficiencies. Per Nikesh Parekh, CEO of the Suplari, the benefits can be wide-ranging, including smarter spending, a reduction in risk, or the ability to drive better compliance.
Watch OnlineHear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.
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