APMdigest and leading IT research firm Enterprise Management Associates (EMA) are partnering to bring you MEAN TIME TO INSIGHT, a podcast focused on network management.
The podcast is hosted by Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA.
Episode 10 - Generative AI
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In MEAN TIME TO INSIGHT Episode 10, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Generative AI ...
By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner ...
A recent report by Enterprise Management Associates (EMA) reveals that nearly 95% of organizations use a combination of do-it-yourself (DIY) and vendor solutions for network automation, yet only 28% believe they have successfully implemented their automation strategy. Why is this mixed approach so popular if many engineers feel that their overall program is not successful? ...
As AI improves and strengthens various product innovations and technology functions, it's also influencing and infiltrating the observability space ... Observability helps translate technical stability into customer satisfaction and business success and AI amplifies this by driving continuous improvement at scale ...
Technical debt is a pressing issue for many organizations, stifling innovation and leading to costly inefficiencies ... Despite these challenges, 90% of IT leaders are planning to boost their spending on emerging technologies like AI in 2025 ... As budget season approaches, it's important for IT leaders to address technical debt to ensure that their 2025 budgets are allocated effectively and support successful technology adoption ...
As businesses and individuals increasingly seek to leverage artificial intelligence (AI), the cloud has become a critical enabler of AI's transformative power. Cloud platforms allow organizations to seamlessly scale their AI capabilities, hosting complex machine learning (ML) models while providing the flexibility needed to meet evolving business needs ... However, the promise of AI in the cloud brings significant challenges ...
The business case for digital employee experience (DEX) is clear: more than half (55%) of office workers say negative experiences with workplace technology impact their mood/morale and 93% of security professionals say prioritizing DEX has a positive impact on an organization's cybersecurity efforts, according to the 2024 Digital Employee Experience Report: A CIO Call to Action, a new report from Ivanti ...
For IT leaders, a few hurdles stand in the way of AI success. They include concerns over data quality, security and the ability to implement projects. Understanding and addressing these concerns can give organizations a realistic view of where they stand in implementing AI — and balance out a certain level of overconfidence many organizations seem to have — to enable them to make the most of the technology's potential ...
For the last 18 years — through pandemic times, boom times, pullbacks, and more — little has been predictable except one thing: Worldwide cloud spending will be higher this year than last year and a lot higher next year. But as companies spend more, are they spending more intelligently? Just how efficient are our modern SaaS systems? ...
The OpenTelemetry End-User SIG surveyed more than 100 OpenTelemetry users to learn more about their observability journeys and what resources deliver the most value when establishing an observability practice ... Regardless of experience level, there's a clear need for more support and continued education ...
