Organizations seeking to build an infrastructure stack for AI training need to know how the data platform is going to perform. This episode of Utilizing Tech, presented by Solidigm, includes Curtis Anderson, Co-Chair of the Storage Working Group at MLCommons, discussing storage benchmarking with Ace Stryker and Stephen Foskett.
Qlik Connect 2024 had an on-point theme. All sessions and workshops focused on data insights through AI, a topic that is on everyone’s minds and lips. As data takes centerstage, and AI rises to be the technology of choice to harvest it, Qlik seizes the opportunity to bring the two together to amplify their value through each other.
In this AppDev Field Day article, Sulagna Saha discusses the process of app modernization from the Delegate Roundtable discussion. Keeping a fleet of old-fashioned apps that are a burden to maintain translates to unhappy stakeholders and snowballing technical debt. The opposite scenario is a full and complete overhaul that costs a fortune, has major technical challenges, and does not necessarily yield the expected value. The answer that enterprises are looking for is in the middle. Being guided by facts and goals, rather than by the impulse to chase a fleeting trend, application modernization can be the change that solves a lot of enterprises’ problems and produce happy users and employees. But a measured and calculated approach is a must to reach that destination.
In this AppDev Field Day article, Sulagna Saha discusses Catchpoint Internet Performance Monitoring and how it can analyze and find incidents in minutes. A platform like Catchpoint’s cuts the clutter, offering pinpointed inputs with granular details. The information is well-targeted, fleshed out and plainly visualized for easy and quick consumption. The deep visibility enables operators to deploy quick fixes to existing problems, and watch over and enhance every customer’s experience across every interaction, around the clock.
One of the things announced at the Red Hat Summit this year is InstructLab. An AI community project, InstructLab is the product of the collaboration between Red Hat and IBM.
In this Mobility Field Day article, Sulagna Saha writes on Juniper Network’s Marvis and its important updates. Marvis Application Experience Insights provides a deep dive into Zoom and Teams user experiences. Marvis leverages continuous learning and the Shapley data science model to learn from data across billions of user experience minutes. This enables Marvis to pin-pointedly predict issues in call quality during meetings.
Camberley Bates, VP of Data Infrastructure, and Steven Dickens, VP and Practice Leader at The Futurum Group, drill down on the implications of the price changes for vSphere and VCF, and predict how it might make way for new competition in the market.
There is a lot of value in mature observability practices, but extrapolating is not simple. For companies that struggle to derive insights from their telemetry data, Mezmo is a great tool to have. It homogenizes streams of data, detect unseen patterns in them, and spits out contextualized insights, enhancing visualization, and reducing time to resolution, all within the enterprise perimeters. Sulagna Saha discusses this in this article from AppDev Field Day.
Model training seriously stresses data infrastructure, but preparing that data to be used is a much more difficult challenge. This episode of Utilizing Tech features Subramanian Kartik of VAST Data discussing the broad data pipeline with Jeniece Wnorowski of Solidigm and Stephen Foskett.
In this Mobility Field Day article, Sulagna Saha discusses how Cisco is elevating the user experience with Cisco Digital Experience Assurance. In the fast-changing digital landscape of today, service snarls are inevitable. The only way companies can fully dodge them is by meeting customers’ expectations to the T. Cisco’s Digital Experience Assurance dislodges the wrench from the gears by giving companies the means to observe the reality at the user end and hone in on the most fine-grained aspects of their experience. DXA’s guided workflows make sure that the data is followed by action. Combined, they can pay big dividends by forging the path for exceptional digital experience.
