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8 Upcoming Webinars On Artificial Intelligence To Look Forward To


With the continuation of COVID disruption, businesses are still relying on webinars to carry out their marketing strategies. Although the concept of webinars has always been there, the pandemic has provided great importance to it while engaging audiences in the comforts of their home. Not only these webinars are a shorter form of conferences, saving an ample amount of time, but also turns out to be extremely convenient for attendees to get their hands-on industry insights, latest tools and technologies. Further to this, webinars have also proven to be a great learning resource for many enthusiasts as well as professionals. Alongside, with artificial intelligence gaining its massive momentum amid COVID, the number of webinars on AI is also rapidly increasing. About: Organised by Analytics India Magazine, in association with ISIMA, this webinar will cover the three generations of data architecture and what lies ahead.

New Relic Extends Reach and Scope of AI Capabilities -


New Relic this week announced it has extended the capabilities within its New Relic AI module to include support for additional data sources and provide access to more advanced analytics. Integrations with Splunk, Grafana, Prometheus and Amazon CloudWatch are now provided along with support for a number of incident management platforms, including ServiceNow, OpsGenie and VictorOps. New Relic AI previously provided support for the incident management platform from PagerDuty. DevOps teams can also surface more details about anomalies, including attributes that caused spikes, related signals to investigate root cause by looking at what happened around the anomaly and view upstream and downstream dependencies. Guy Fighel, general manager and group vice president for New Relic, said these and other capabilities being added to extend the capabilities of a monitoring platform that as a software-as-a-service (SaaS) platform provides a natural focal point applying machine learning algorithms to the massive amounts of data required to inform an AI engine.