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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. We’ll post news here as it happens!

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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks. Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions.

DevOps 184
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IT automation: An AIOps guide

Dynatrace

According to Dynatrace data, 71% of CIOs say the explosion of data produced by cloud-native technology stacks is beyond human ability to manage. That may be why numerous organizations have invested in AIOps technology. According to recent data, the AIOps market is worth some $17 billion per year. – blog.

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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. In this time of rapid change, teams are also under greater scrutiny to maximize IT investments in a new wave of sustainable readiness.

Azure 130
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TTP-based threat hunting with Dynatrace Security Analytics and Falco Alerts solves alert noise

Dynatrace

Not only that, teams struggle to correlate events and alerts from a wide range of security tools, need to put them into context, and infer their risk for the business. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 195
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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality.

AWS 208
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The history of Grail: Why you need a data lakehouse

Dynatrace

Some time ago, at a restaurant near Boston, three Dynatrace colleagues dined and discussed the growing data challenge for enterprises. At its core, this challenge involves a rapid increase in the amount—and complexity—of data collected within a company. So, there was a need to do something revolutionary. Thus, Grail was born.