SiliconANGLE & theCUBE

How DQLabs’ semantic layer unlocks the full power of enterprise data. 📶 From small businesses focused on DataOps to large enterprises needing robust data monitoring, a semantic layer seeks better insights amidst vast data volumes. Join #theCUBE’s #CDOIQ2024 on-site coverage for more on DQLabs’ advanced approach to data management tools, from ingestion to #observability and beyond. “I think because the amount of data that we are producing is enormous, without a semantics layer, there is nothing that we can do meaningfully,” said DQLabs’ Raj J. “That’s why we build the semantic layers. The platform has modules on observability, as well as in quality.” Using the platform, organizations can also access the simplified “observe, measure, discover and remediate” framework to harness generative AI at scale, he furthers. 📺 Watch the full interview:  https://lnkd.in/gMt95z4N #EnterpriseTechNews #CDOinsights #ModernDataManagement David Vellante CDOIQ Program

New drop 🔥 #theCUBEpod episode 66 Dissecting CrowdStrike’s chaotic day A new #DigitalDawn for politics & business #Supercloud7 is coming July 30 New survey on the future of #IntelligentData 🔔 Subscribe for weekly #techanalysis https://lnkd.in/epDMj7cA 📰 RSS  https://lnkd.in/g6YsD_Vt 🍏 Apple Podcasts https://lnkd.in/gGYj5sUQ 🎧 Spotify https://lnkd.in/ghdr5r3F #CIOnews #ThisWeekInTech #GenAI #WallStreetAnalysis #theCUBEresearch   John Furrier David Vellante 

Discussing the relationship between CDOs and CAIOs 🔁 In this #CDOIQ2024 special #AnalystANGLE, #theCUBE’s David Vellante sat with Sanjeev Mohan from SanjMo and Dr. Richard Wang, the founder of the #CDOIQSymposium, to discuss the relationship between the CDO and CAIO.    “In some companies, CDOs are completely focused on risk and governance instead of AI. They're more into security, governance, and data access. But some CDOs are more focused on analytics, so they can move to the AI role. There's no clear definition of the CDO role,” shares Mohan. Dr. Wang joins the conversation, saying “that's why I started a CDO certification program with a very rigorous program for 15 months. It's like a labor camp with all the subject matter experts. They come to the common understanding that whether it's called CDO or CAO or CDAO or CDTO or CDTAIO, we broadly define all of them to be chief data officer in one sense.” “The other sense that people now understand is there are actually two sides of CDO function. One is called the defensive side, producing high-quality data, and another is the offensive side that generates revenues. The moment you start to create some good data, the CEO would ask you to generate revenue. Thirty percent of company revenue could be on the shoulder of a CDO. So, it requires different kinds of CDOs with different kinds of skill sets,” he adds. 📰 More: https://lnkd.in/gp6iXEGK #EnterpriseTechNews #CDOtrends #CXOinsights CDOIQ Program

The importance of training models in the cloud ☁️ Join #theCUBE with Matt Wood, the VP of AI products of Amazon Web Services (AWS), in this #AWSSummit highlight, where he advises organizations to train their models in the cloud for cost, speed, and security benefits. “If you want to have your own models, you also need an environment to train those models. Doing that on premises is expensive and slow with constrained capacity and terrible sustainability footprint. So, if you believe that you'll need capacity, low cost, and sustainability, you’ve got to do it in the cloud,” shares Wood. “Over time, you're going to want more of your sensitive data to flow into that model to improve it. Our approach is the only place that you can do this is on AWS because we don't have visibility into any of the compute environments that are the models or the data. We prevent technical limitations on visibility with the Nitro system,” he continues. “Using Nitro, we can't access any of that data. You're going to want a really strict enclave, a strict perimeter around the weights and around that data, which could be health, privacy, or confidential data. AWS is the only place that you can bring all of that together and run it in a secure enclave so that even inside your organization, you can't have access to it,” Wood concludes. 📰 More: https://lnkd.in/dyRz92Wh

Achieving the “true hybrid harmony” of multiplicative environments 🤝 At this week’s #CDOIQSymposium, David Vellante, #theCUBE’s chief analyst, sat with Shayde Christian, the chief data & analytics officer at Cloudera, to learn about their approach to achieving true hybrid harmony. “True hybrid is somewhere where you have a harmony in your multiplicity of environments where the environments are working cohesively together to allow you to democratize data effectively and to generate insights. We're the only true hybrid company in my opinion. The tenets of true hybrid really are about interoperable and portable data services. Open data lake houses are a big tenet of true hybrid,” shares Christian. “Having a central command and control for security and governance is very important. To me, a practitioner having the full data lifecycle of tools available to you in integrated fashion is another tenet of true hybrid. At Cloudera, we're bringing the models to the data, but you've got to take the data to the models as well. We're looking at that true hybrid harmony of multiplicative environments working together as a way to accomplish it,” he adds. 📰 More: https://lnkd.in/gCTE2vTQ #EnterpriseTechNews #CloudComputing #CDOinsights CDOIQ Program

Tick-tock-tick ⏰ Only 11 days left until #Supercloud7 – join our next Super Studio event, airing July 30! Supercloud.world #theCUBE continues its legacy of live, exclusive analysis with tech titans to discuss the emerging concepts for the future of intelligent data. Join our team at the Palo Alto Studios for real-time discussions with some of the industry’s most influential leaders reshaping enterprise computing. 📅 Save the date, and we’ll see you in the clouds! https://lnkd.in/ggAzahGU #LiveAnalysis #TechNews

How Grammarly aims to unlock the power of #GenAI 🌟 https://lnkd.in/eQY2pu62 Grammarly’s new enterprise features offer secure, efficient and compliant AI-powered comms tools. These enhancements address key enterprise needs, from cost control to security controls. Shelly DeMotte Kramer from theCUBE Research highlights how these features drive better communication, efficiency and brand protection. “Grammarly’s secure, private and responsible enterprise-grade AI solution is currently in use by one-third of the Fortune 500,” according to Kramer in her recent report on Grammarly’s new enterprise features. “This speaks to the confidence enterprises have in using Grammarly to harness better communication to drive business outcomes, helping teams be more efficient, communicate more effectively and also protect the brand while complying with industry regulations.” 🔍 Explore Kramer’s full analysis. #CUBEConversations #CXOinsights #MarketAnalysis #EnterpriseAItools

Explore how Microsoft Purview ensures governance of the company’s structured and unstructured data from Karthik Ravindran, the GM of Enterprise Data at Microsoft, as he joins #theCUBE at this week’s #CDOIQSymposium.   “We've taken what used to be two orthogonal sets of investments inside the company. You're probably familiar with products like Microsoft information protection, data loss prevention, and data lifecycle management. Those were very anchored on the unstructured estate. Then, you've likely heard of Azure Purview, which was more the data governance platform for the structured data,” shares Ravindran. “We focused on capital G governance and information estate, which encompasses security, compliance, risk management, and data management,” he furthers. “We have got CISOs, compliance officers, and data officers, who are operating in silos and investing in their own infrastructures, but not coming together because of the systemic constraints.” “If we could bring together all of these investments into a single solution offering that spans these structured and the unstructured information estate, takes the innovation on the unstructured estate and brings it to the structured data, and vice versa, and combine it together into one whole solution. That’s Microsoft Purview,” Ravindran concludes. #EnterpriseTechNews #CloudComputing #DataManagement #CDOtrends CDOIQ Program David Vellante Sanjeev Mohan 📰 More:  https://lnkd.in/gAsfaHBY

Must an AI leader be a technical leader? 🤖 In this #CDOIQSymposium discussion, #theCUBE hears from Mario Faria, the Chief Data and AI Officer Program professor at Carnegie Mellon University, on whether an AI leader must have a technical background. “Being technical helps, but it's not mandatory. The best chief data officers and CIOs that have met in my life, they did not have a technical background. They were able to understand. They were able to put together an organization with skills that would help the company to achieve their results,” shares Faria. “Culture more and more is a tremendous lever. At the same time, it is an obstacle for any data leader to achieve success. Data is abstract. We all agree about that. And when we talk about AI, it's even more abstract than that. So, we're talking about all those tools available there, all those algorithms and solutions out there,” he adds. 📺 Watch the full interview: https://lnkd.in/gEKT_kkv #TechNews #CDOinsights #EnterpriseAI David Vellante CDOIQ Program

The year of inference in the enterprise world 🚀 In this #HPEDiscover highlight, #theCUBE sat with Jordan Nanos, the machine learning architect at Hewlett Packard Enterprise, to dig deeper into this year of inference and the need for bringing the compute to the data. “I think this is the year of inference in the enterprise. We've seen really impactful releases of public free open source models that many organizations can download and use for their business applications. There's now a requirement for GPUs and accelerated compute to be all over the world where the data is being created,” shared Nanos. He furthered, “Our CEO talks about bringing the compute to the data rather than bringing the data to the compute. That’s particularly important when we look at AI applications because there are private data sets. This could be your code repository, product documentation, or confidential communications with third parties.” “You don't want to release your private data into the public domain, and really bringing GPUs into the data center onto a mobile device, ship, an armored vehicle, or a drone. There's all sorts of different use cases where when you bring compute to the data, you're able to unlock a lot of new experiences for people,” Nanos concluded. 📰 More: https://lnkd.in/eRsF9z-8