Dynatrace Perform 2024: Making Waves While Navigating the Future of Cloud Innovation

By Ken Buckler on Mar 15, 2024 3:19:56 PM

The Dynatrace Perform 2024 conference delivered a plethora of insights and forward-looking perspectives this month. Throughout the conference, the event encompassed keynotes, breakout sessions, customer panels, and hands-on training, offering a holistic view of the latest trends and innovations in the tech industry. The overarching theme, "Make Waves," encapsulates the imperative for transformation and disruption in the tech industry. It underscores the need to drive substantial change and progress amidst evolving trends.

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From AI to Zero Trust: Decoding Cybersecurity Trends for 2024

By Chris Steffen on Dec 22, 2023 4:09:04 PM

In 2024, we will continue to see globally significant advancements in information security and regulatory compliance spending for organizations of all sizes. From zero trust architecture to the integration of AI-driven solutions and the growing emphasis on regulatory alignment, 2024 will redefine how organizations safeguard sensitive information, navigate compliance complexities, and fortify their API ecosystems. Understanding and adapting to these transformative trends will be pivotal for businesses aiming to stay resilient, secure, and compliant in a time noted for rapid technological advancements and stringent regulatory landscapes. Here are our predictions for information security in 2024.

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Black Hat Europe 2023: Navigating the Evolving Landscape of Cybersecurity

By Ken Buckler on Dec 22, 2023 3:47:45 PM

The Black Hat Europe 2023 conference, a gathering of cybersecurity professionals and experts, delved into the intricate world of cybersecurity, exploring emerging threats, innovative defense strategies, and the pressing need for collaboration between the private sector and government entities. Here's a breakdown of the key takeaways and highlights from a few of the conference sessions.

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Tech at the Gap Decoded: A Look at Maryland’s “Best-Kept Secret” Technology Conference

By Ken Buckler on Oct 23, 2023 1:38:19 PM

Every year, technology enthusiasts and industry leaders gather at the serene Rocky Gap in Western Maryland for Tech at the Gap, an event that has earned the reputation of being one of the hidden gems of Maryland's tech conference scene. This year, the conference's theme, "Decoding Intelligence," promised to unveil the mysteries behind artificial intelligence and its transformative potential. With an impressive lineup of keynote speakers and breakout presenters, the event did not disappoint.

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Reflection on Informatica World 2022

By Will Schoeppner on Jun 9, 2022 3:45:15 PM

Recently, I had the opportunity to attend Informatica World 2022 (IW22) in Las Vegas. Returning to the in-person conference scene caused some apprehension; however, reflecting on takeaways and engaging in discussions around data integration made this trip a worthwhile experience. I want to thank IW22 for a thought-provoking week of discussions centered on data management, data integration, interoperability, artificial intelligence, and navigating a complex, hybrid, multi-cloud digital environment with Informatica experts, sponsors, and customers.

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Top 10 from Dell Technologies World in 2018 – Quick Edition

By Torsten Volk on May 4, 2018 10:11:25 AM

OpenManage Enterprise is a big deal, but underrated: OpenManage Enterprise is the new infrastructure automation platform that could unlock the private and hybrid cloud for Dell. Deploying Dell infrastructure through a simple YAML file is within reach.

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Artificial Intelligence Delivered WYSIWYG-Style

By Torsten Volk on Apr 12, 2018 10:22:33 AM

Companies who manage to put AI capabilities into the hands of each and every business employee will be vastly successful in the marketplace. Enabling business employees to back up their decisions with data will dramatically increase staff productivity. At the same time, employees will feel empowered by their new ability to make much more informed decisions and automating certain tasks, based on intelligence derived from operations and market data that is now available to them.

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Top 3 Guidelines for Leveraging Machine Learning and Artificial Intelligence to Lower OPEX and Increase Competitiveness

By Torsten Volk on Oct 2, 2017 11:40:35 AM

“Machine learning (ML) today is frustrating. There is so much potential and the algorithms are all there, but I just do not know how I can leverage it for my organization,” says the CTO of a major professional services firm. “My CEO wants me to ‘leverage ML to lower OPEX and differentiate our service offerings, but there is nothing out there in the market that would allow me to get this done in a manner that has a high probability of success.” Then of course he asks me what I would do and where I would start, because the guy with “Machine Learning and AI” in his job title must know for sure…

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Machine Learning and Artificial Intelligence: The Promised Land for Lowering IT OPEX, Decreasing Operational Risk and Optimally Supporting Business Goals

By Torsten Volk on Sep 26, 2017 11:37:40 AM

What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams to learn from their decision making. In other words, every virtualization administrator fulfills infrastructure provisioning or upgrade requests a little bit differently. Please regard the below table as a preliminary outline and basis for discussion. At this point, and probably at no future point either, I won't claim to know the 'ultimate truth.'

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Machine Learning and Artificial Intelligence: The Promised Land for Lowering IT OPEX, Decreasing Operational Risk and Optimally Supporting Business Goals

By Torsten Volk on Sep 26, 2017 10:44:15 AM

What should machine and artificial intelligence (ML/AI) do for IT operations, DevOps and container management? The following table represents my quick outline of the key challenges and specific problem ML/AI needs to address. The table is based on the believe that ML/AI needs to look over the shoulder of IT ops, DevOps, and business management teams to learn from their decision making. In other words, every virtualization administrator fulfills infrastructure provisioning or upgrade requests a little bit differently. Please regard the below table as a preliminary outline and basis for discussion. At this point, and probably at no future point either, I won't claim to know the 'ultimate truth.'

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