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AI and Machine Learning in Your Organization

Digital transformation has led to complex environments that continuously generate new data. As a result, organizations are left unsure about how to best use their data to foster growth and edge out the competition. It's not enough to just have mountains of data, it needs to be analyzed and made sense of in a way that best suits the business.

The real-time journey from raw streaming data to AI-based analytics

Roy Ben-Alta, solution architect and principal business development manager at Amazon Web Services, and Anodot’s Chief Data Scientist Dr. Ira Cohen present various design patterns and share a solution implemented using Amazon Kinesis as a real-time event data processing pipeline that feeds Anodot’s AI-based analytics service, discovering and alerting on the anomalies in the data in real time and helping you avoid costly business incidents.

Using AI analytics to detect real-time application issues

Anodot’s Solutions Engineer and AI specialist, Steven Kirkpatrick, presents how leading gaming companies are leveraging the powerful anomaly detection capabilities of Anodot’s AI Analytics to proactively address business incidents in real time, minimizing revenue loss and identifying opportunities.

What Artificial Intelligence Means for MSPs

Managed service providers (MSPs) are feeling the impact of AI use, mostly when it comes to the power of chatbots. Chatbots are an incredible way for MSPs to save time and money when it comes to the lower levels of their customer support. Well-programmed bots can take the burden off techs and your support staff when it comes to answering simple questions and troubleshooting common issues.

The AppD Approach: Increasing Mobile Engagement with Business iQ

With 2.3 billion smartphone users worldwide, enterprises can’t afford to ignore the mobile channel. Last year, $2 billion of Black Friday’s total sales of $5.03 billion were spent on mobile devices. And mobile isn’t just about shopping. People are now spending equal amounts of time on mobile devices and desktop computers. Flurry Insights pegs the average time that people devote to mobile devices at 5 hours a day.