<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:georss="http://www.georss.org/georss" xmlns:geo="http://www.w3.org/2003/01/geo/wgs84_pos#" > <channel> <title>conferences Archives - CDInsights</title> <atom:link href="https://www.clouddatainsights.com/tag/conferences/feed/" rel="self" type="application/rss+xml" /> <link>https://www.clouddatainsights.com/tag/conferences/</link> <description>Trsanform Your Business in a Cloud Data World</description> <lastBuildDate>Tue, 29 Oct 2024 14:08:39 +0000</lastBuildDate> <language>en-US</language> <sy:updatePeriod> hourly </sy:updatePeriod> <sy:updateFrequency> 1 </sy:updateFrequency> <generator>https://wordpress.org/?v=6.6.1</generator> <image> <url>https://www.clouddatainsights.com/wp-content/uploads/2022/05/CDI-Favicon-2-45x45.jpg</url> <title>conferences Archives - CDInsights</title> <link>https://www.clouddatainsights.com/tag/conferences/</link> <width>32</width> <height>32</height> </image> <site xmlns="com-wordpress:feed-additions:1">207802051</site> <item> <title>Google Cloud Announces Major Updates at Next ’22</title> <link>https://www.clouddatainsights.com/google-cloud-announces-major-updates-at-next-22/</link> <comments>https://www.clouddatainsights.com/google-cloud-announces-major-updates-at-next-22/#respond</comments> <dc:creator><![CDATA[David Curry]]></dc:creator> <pubDate>Sun, 30 Oct 2022 19:38:50 +0000</pubDate> <category><![CDATA[AI/ML]]></category> <category><![CDATA[Cloud Data Platforms]]></category> <category><![CDATA[Integration]]></category> <category><![CDATA[conferences]]></category> <category><![CDATA[migration]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=1954</guid> <description><![CDATA[Over the past two years, Google Cloud has launched new solutions and integrations to have the same comprehensive coverage as Amazon Web Services and Microsoft Azure.]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img fetchpriority="high" decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/10/google-cloud-Depositphotos_320459724_S.jpg" alt="" class="wp-image-1957" width="750" height="500" srcset="https://www.clouddatainsights.com/wp-content/uploads/2022/10/google-cloud-Depositphotos_320459724_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2022/10/google-cloud-Depositphotos_320459724_S-300x200.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2022/10/google-cloud-Depositphotos_320459724_S-768x512.jpg 768w, https://www.clouddatainsights.com/wp-content/uploads/2022/10/google-cloud-Depositphotos_320459724_S-930x620.jpg 930w" sizes="(max-width: 750px) 100vw, 750px" /><figcaption>In the past two years, Google Cloud has launched new solutions and integrations to have the same comprehensive coverage as Amazon Web Services and Microsoft Azure.</figcaption></figure></div> <p>Google announced a slew of new products at its recent <a href="https://cloud.withgoogle.com/next">Google Cloud Next ’22</a> conference, including a major update to BigQuery, a new virtual machine family, and integrations and developer tools for Workspace. </p> <p>Google Cloud is the third largest cloud provider in the world, with a $24 billion run rate, according to Google Cloud CEO Thomas Kurian. In the past two years, it has looked to broaden the viability of Google Cloud by launching new solutions and integrations to have the same comprehensive coverage as Amazon Web Services and Microsoft Azure. Here are some of the major new offerings announced from the conference:</p> <p><strong>BigQuery</strong></p> <p>Google Cloud has added support for unstructured data on BigQuery, which expands the capabilities of the SQL interface in the areas of machine learning, speech recognition, text processing, and other highly-unstructured environments. </p> <p>BigQuery will be unified with some of Google Cloud’s other operational databases. Google also previewed the open-source analytics engine Apache Spark operating inside BigQuery, which should eliminate the integration issues data practitioners have had using these two platforms in the past.</p> <p><strong>C3 Virtual Machine</strong></p> <p>Google Cloud has launched the first virtual machine family, which runs on the 4th Gen Intel Xeon Scalable Processor. Google also co-designed an Infrastructure Processing Unit (IPU) that will be operational on these virtual machines.</p> <p>The virtual machine family, called C3, features a System-on-a-chip (SoC) architecture, which provides more consistent compute, high performance, and low-latency. In announcing the product, Nirav Mehta, senior director of product management at Google Cloud Infrastructure Solutions, said Snapchat has seen a 20 percent increase in performance over the previous generation C2.</p> <p><strong>See also: </strong><a href="https://www.clouddatainsights.com/google-cloud-ai-and-ml-offerings/" target="_blank" rel="noreferrer noopener">Google Cloud AI and ML Offerings</a></p> <p><strong>Google Workspace Integrations</strong></p> <p>Google Cloud made it clear it wants Workspace to be the business application suite for developers through the launch of new integrations and developer tools, which should provide businesses with more ways to leverage Workspace into their own flows.</p> <p>Google has expanded its smart chips to ecosystem partners to let users access third-party data in flow rather than by switching tabs. AODocs, Atlassian, Asana, Figma, Miro, and Tableau have already confirmed they are building integrations for Workspace. </p> <p>While Google hasn’t been successful in messaging for consumers, it is hoping the launch of Chat & Meet APIs will interest developers. These can also be integrated into third-party solutions, and Asana and LumApps are already building integrations. </p> <p><strong>Chronicle Security Operations</strong></p> <p>Google has combined all of its cybersecurity solutions under Chronicle Security Operations, which is a suite of software that includes security information and event management technology from Google Chronicle and security orchestration, automation, and response solutions from its subsidiary Siemplify. </p> <p>Going forward, Google will use the Chronicle brand for all of its cloud-based security solutions. </p> <p><strong>Confidential Space</strong></p> <p>Confidential space provides a safety barrier for organizations that need to ensure their data is not seen by third parties, whether for commercial or security reasons. This should help ease tension in regards to data sharing and meet regulatory requirements that are coming into law in the European Union and other regions. </p> <p><strong>Vertex AI Vision</strong></p> <p>Google has expanded its Vertex AI application development environment to include visual data, which can be ingested, analyzed, and stored. More data than ever is in video format, so it makes sense that Vertex should be able to interact with it. <strong> </strong></p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/05/curry-150x150-1.webp" width="100" height="100" alt="" itemprop="image"></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/david-curry/" class="vcard author" rel="author"><span class="fn">David Curry</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><div class="author-info"> <div class="author-description"> <p>David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.</p> </div> </div> <div class="clear"> <article id="post-47305" class="entry-grid first-grid post-47305 post type-post status-publish format-standard has-post-thumbnail hentry category-aiops tag-aiops tag-observability"> <div class="post-thumb"></div> </article> </div> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/google-cloud-announces-major-updates-at-next-22/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">1954</post-id> </item> <item> <title>Data Exploration Spurs New Business Initiatives</title> <link>https://www.clouddatainsights.com/data-exploration-spurs-new-business-initiatives/</link> <comments>https://www.clouddatainsights.com/data-exploration-spurs-new-business-initiatives/#respond</comments> <dc:creator><![CDATA[Elisabeth Strenger]]></dc:creator> <pubDate>Mon, 03 Oct 2022 12:59:31 +0000</pubDate> <category><![CDATA[Cloud Data Platforms]]></category> <category><![CDATA[Cloud Strategy]]></category> <category><![CDATA[cloud infrastructure]]></category> <category><![CDATA[conferences]]></category> <category><![CDATA[data analysis]]></category> <category><![CDATA[data exploration]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=1808</guid> <description><![CDATA[Sean Zinsmeister, SVP of Product Marketing at ThoughtSpot, discusses how data exploration has enabled more data-driven business initiatives.]]></description> <content:encoded><![CDATA[<div class="wp-block-image"> <figure class="aligncenter size-full is-resized"><img decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_187057388_S.jpg" alt="Data exploration" class="wp-image-1809" width="750" height="508" srcset="https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_187057388_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_187057388_S-300x203.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_187057388_S-768x520.jpg 768w" sizes="(max-width: 750px) 100vw, 750px" /><figcaption>Data exploration is changing how companies uncover new business initiatives.</figcaption></figure></div> <p>Cloud Data Insights (CDI) had the opportunity to talk with Sean Zinsmeister, SVP of Product Marketing at ThoughtSpot, at the Gartner Data & Analytics Summit. We covered new trends in data access technology making data exploration easier than ever, how the cloud has driven these trends, and how ThoughtSpot is integrating with a partner ecosystem. </p> <p><em>Interview has been lightly revised for clarity and readability.</em></p> <p><strong>CDI: Just before our interview started, you mentioned that a large part of your time was spent with partners. That caught my attention because not everyone begins their story with partners. Why are partners so central to your product strategy? </strong></p> <p><strong>Sean Zinsmeister:</strong> You can think of ThoughtSpot as an experience layer or a data consumption layer. The ecosystem is important to us because you need a cloud data platform or a database to do analytics. We rely on partners to deliver the performant database needed for a search engine on relational data to have search-level speed. </p> <p>When we first started, that performance didn’t exist. Customers had to centralize their data in a proprietary database to search it. That has changed dramatically in the last 3 to 5 years with cloud data platforms like Snowflake and Redshift, to name a couple. We rely on partners for moving the data and partners to provide the platform we can connect to directly through APIs.</p> <p><strong>Sean Zinsmeister:</strong> What’s very new is the two new types of partners we’re working with. One is the query accelerators like Starburst, which gives us the performance to deploy into a data lake. This technology combination gives customers a single point of access to their data architecture. The other technology we see more and more demand for is data catalogs. These build more trust, reliability, and governance into data access. The vendor landscape has grown quickly–a customer told me they evaluated 50 data catalogs before selecting one. </p> <p><strong>CDI: What’s the relationship between ThoughtSpot and a customer’s data catalog?</strong></p> <p><strong>Sean Zinsmeister:</strong> How do you trust the search? The ThoughtSpot search engine interacts with a logical view in our product called the worksheet. That’s what leverages a customer’s data catalog and gives the search governance and reliability. Let’s say I do a drill-down on a map of California to look at sales data. I can get very fine-grained detail. Because of the worksheet, I’ll not be able to access anything I don’t have permission to access, and I’ll also know the quality of the data the search is bringing up. Is it third-party data? Unwashed data? You can put guardrails in place to bridge the data analyst’s interest with the business user’s. Maintaining interactivity with data and doing it in a governed state is a difficult balance. </p> <p><strong>CDI: Governance has become such a hot topic because there are now so many more people with different roles in a company that access data for data exploration. How is ThoughtSpot responding to this surge and expansion of data utilization?</strong></p> <p><strong>Sean Zinsmeister:</strong> It’s not just that there are more users–the users are trying to do more things with the data, and that’s caused us to develop two products. We have a standalone SKU for self-service analytics, that is, in internal business use cases. The surprise is the rapid growth of uptake for our embeddable offering that lets you deploy outside the firewall. That allows customers to deliver a data product to external customers. </p> <p>A data product could be a standalone point solution that provides simple search capabilities. It could be something embedded into a portal. Many of our larger customers often have a unified portal, a center of excellence for analytics where a business user can go to meet their analytics needs.</p> <p><strong>CDI: So, data used by more people in more scenarios. We also see that more roles are engineering and consuming data. Are you seeing that play out?</strong></p> <p><strong>Sean Zinsmeister:</strong> If you hear “analytics as code” as a name or a mantra, it’s a real movement. Data analysts are being forced to be more technical. They’re finding useful ways to repackage their skills, asking themselves whether they can do more with SQL. Do they want to work like a software developer? Sure, but probably using the language they know, which is very often SQL. This is driving a lot more demand for what I would call an open platform. An open platform has flexible APIs so that the data analysts and engineers can take the technology and build whatever they want.</p> <p><strong>CDI: You’ve mentioned centralization, that is, centralization in the cloud. ThoughtSpot started as an on-prem solution. Now you’re selling mostly in the cloud. You have a lot of valuable experience migrating to the cloud. Does that help you understand your customers’ cloud migration? And do you ever become entangled in their migration strategies?</strong></p> <p><strong>Sean Zinsmeister:</strong> We have undergone a massive cloud transformation, which sounds remarkably simple but is remarkably difficult. And yes, we run across a lot of customers who are in the middle of a migration and want to put off implementing a search and analytics layer until they finish. We like to talk to customers about bridging the gap as fast as possible. They can have a single federated exploration layer that any BI tool access, so they don’t have to wait. </p> <p><strong>CDI: Waiting. Not a popular word in the data world. Your technology depends on performance since you’re querying massive amounts of data. Is real-time data exploration, or near-real time, a requirement for your customers?</strong></p> <p><strong>Sean Zinsmeister:</strong> If you look at it through the lens of the customer, financial services customers are looking at multiple data sources and need refresh rates of their cloud data platform in seconds. A retailer like Canadian Tire, which had to pivot to adapt to the new pandemic market, probably needs a 12-hour refresh rate. Canadian Tire quickly realized that fitness equipment and bicycles were hot items because we couldn’t work out in gyms anymore. The pandemic revealed how important the need for speed was, but the timing really varies. [Read about the Canadian Tire case study <a href="https://www.constellationr.com/node/23370/vote/application/view/940" target="_blank" rel="noreferrer noopener">here</a>] </p> <p>In any case, static dashboards are not going to be enough for business. When you build a dashboard, you have an answer in mind; the dashboard is just visualizing it. But businesses need true data exploration that’s not about answers but about the next question and the next question. That’s where ThoughtSpot’s dynamic search architecture and search engine are a massive differentiator. It’s what lets us build interactive dashboards based on data that doesn’t have to be moved before it can be searched.</p> <p><strong>CDI: Looking ahead, what’s on your product roadmap in the near term?</strong></p> <p><strong>Sean Zinsmeister:</strong> Work on search. We feel that we’re only 2% done. There are so many ways for it to manifest in analytics and we’re nowhere near done with those opportunities. For example, bringing in automation and AI. We have algorithms that work behind the scenes to enable” auto drill down.” When they detect an anomaly, they will drill into that and auto-generate the insights that were the drivers behind the anomaly. We believe there will be a big demand for automated business monitoring. Customers are realizing that BI is not a terminal endpoint. It can become an operations tool, meaning that the BI tool can talk to a parent application or another business system or service and execute actions.</p> <p><strong>CDI: Thanks for sharing your take on these data exploration trends. You are indeed living at the intersection of several movements–the democratization of data and its reliance on governance, the scalability of the cloud, the rise of the citizen data pro, and the business need for speed–and you’ve painted a picture of how these are coming together.</strong></p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img alt='Elisabeth Strenger' src='https://secure.gravatar.com/avatar/d42bdc4339b8a684f54ad42d3ac0accb?s=100&d=mm&r=g' srcset='https://secure.gravatar.com/avatar/d42bdc4339b8a684f54ad42d3ac0accb?s=200&d=mm&r=g 2x' class='avatar avatar-100 photo' height='100' width='100' itemprop="image"/></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/estrenger/" class="vcard author" rel="author"><span class="fn">Elisabeth Strenger</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elisabeth Strenger is a Senior Technology Writer at <a href="https://www.clouddatainsights.com/">CDInsights.ai</a>.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/data-exploration-spurs-new-business-initiatives/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">1808</post-id> </item> <item> <title>Extending Data Warehousing to the Cloud</title> <link>https://www.clouddatainsights.com/extending-data-warehousing-to-the-cloud/</link> <comments>https://www.clouddatainsights.com/extending-data-warehousing-to-the-cloud/#respond</comments> <dc:creator><![CDATA[Elisabeth Strenger]]></dc:creator> <pubDate>Tue, 27 Sep 2022 12:47:13 +0000</pubDate> <category><![CDATA[Cloud Data Platforms]]></category> <category><![CDATA[Migration]]></category> <category><![CDATA[cloud infrastructure]]></category> <category><![CDATA[conferences]]></category> <category><![CDATA[data warehousing]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=1805</guid> <description><![CDATA[CTO of Yellowbrick Data, Mark Cusack, addresses the future of data warehousing, the cloud, and why companies are differently about data.]]></description> <content:encoded><![CDATA[ <figure class="wp-block-image size-full"><img loading="lazy" decoding="async" width="1000" height="688" src="https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_45044093_S.jpg" alt="Data warehousing is evolving" class="wp-image-1806" srcset="https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_45044093_S.jpg 1000w, https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_45044093_S-300x206.jpg 300w, https://www.clouddatainsights.com/wp-content/uploads/2022/09/Depositphotos_45044093_S-768x528.jpg 768w" sizes="(max-width: 1000px) 100vw, 1000px" /><figcaption>Yellowbrick addresses why companies are thinking differently about data and why data warehousing is evolving.</figcaption></figure> <p>Cloud Data Insights (CDI) had the opportunity to talk with Mark Cusack, the CTO of Yellowbrick Data, at the Gartner Data & Analytics Summit. We covered shifts in how businesses think of their data, how Yellowbrick is responding to and even anticipating emerging challenges around data warehousing, and utilizing data effectively.</p> <p>(<em>The interview has been lightly revised for clarity and readability.</em>)</p> <p><br><strong>CDI: The Gartner Data & Analytics Summit is the ideal forum for data leaders and software and services providers to take the market’s pulse and get a sense of where the technology is heading. The pandemic caused many organizations to use data differently. Where have you seen your customers’ attention shift? Are you having different conversations than you had a couple of years ago?</strong></p> <p><br><strong>Mark Cusack:</strong> We really are. The data warehousing segment, where we are very much focused, has evolved massively over the last five to 10 years. New players are coming in with a new focus on cloud data warehousing. What I think we are seeing now, particularly post-pandemic and with the current economic environment, is that people are scrutinizing their cloud spending. That has become top of mind for a lot of CFOs. </p> <p>The idea of infinite capacity in the cloud has also been driving infinite spending patterns. People are getting a lot more cost-conscious. They’re trying to understand how they can get the agility out of the cloud but do it cost-effectively. Data teams are definitely generating use cases that create business value, but they want to do it more efficiently.</p> <p><strong>CDI: What does a software provider do to respond to that challenge?</strong></p> <p><br><strong>Mark Cusack:</strong> Take the world of data warehousing, for example, that existed within a fixed footprint in a data center. We’ve learned how to squeeze as much capacity as possible sometimes with devious tricks to get the efficiency out of the underlying platform. Workload management was also very important so that you had the resources your users needed. Then came the cloud with its elasticity and separated storage that seemed limitless. </p> <p>We’ve spent the last year bringing the best of both worlds together. We’re offering our cloud customers all of the table stakes they expect from a cloud data warehouse but cost-effectively because of how we can leverage hardware (even in the cloud) and through a capacity-based licensing and pricing model. This suits well-characterized workloads, but there is also a “pay by the drink” on-demand model for workloads that are exploratory or scale up or down.</p> <p><strong>CDI: What driving idea led to creating the technology that makes Yellowbrick different?</strong></p> <p><strong><br>Mark Cusack:</strong> Our founders came from the flash storage area and were interested in seeing if flash storage could change the database hardware stack. It did by removing the memory bottleneck. This enabled streaming analytic data straight from long-term SSD storage into the CPUs and bypassing that main memory middle step. Running a SQL query in Yellowbrick provides in-memory database levels of performance, but with access to a vast data set. That gained a huge amount of efficiency, which still matters in the cloud</p> <p><br><strong>CDI: Since data warehousing technology is capable of handling more workloads, are more people invited into the user circle?</strong></p> <p><strong>Mark Cusack:</strong> They are. And I think there’s a demand from the lines of business to get more direct access. Everyone talks about self-service access. You want business analysts and data scientists to get their fingers on the data they need for their particular business problem as quickly as possible. I think that the role of a centralized data warehouse where you have to raise a ticket with central IT to get access to it is long gone. </p> <p>A modern data warehouse should provide an easy user experience to non-DBAs. And to do that, it’s not just about having a very nice and pretty UI, but it’s about having a huge amount of automation in the data warehouse software itself, removing a lot of complexity that you needed an army of DBAs to manage before. One focus for us is making the data accessible so that the users can focus on what the business needs.</p> <p><strong>CDI: What is on your technology roadmap to address the emerging data needs post-pandemic?</strong></p> <p><strong><br>Mark Cusack:</strong> We have focused on moving all the efficiencies we had gained in data centers into running our software in public clouds. But companies don’t want to concentrate all of their data in the cloud or in one cloud. They want the freedom to deploy anywhere. The CFO’s Chief Risk Officer wants to know that when they choose a particular cloud or data warehouse platform, they can de-risk their buying decisions as they move data around and possibly repatriate it. Our strategy is to provide the same data warehouse experience wherever deployed.</p> <p><strong>CDI: A hot topic at this summit is the data lake and the data lakehouse. What’s your strategy for addressing these architectures?</strong></p> <p><strong>Mark Cusack:</strong> I’m a believer that there’s no such thing as one tool to solve every single problem. What you get is the lowest common denominator that is slightly good at everything. </p> <p>I see data lakes as two components. You have an object store as an interchange layer where you might exchange data products with different business lines or create new products. But you also have consumption engines around these things. Organizations have to choose the technology that best fits their business problem. We’ll stay focused on what we do best–extremely fast SQL performance.</p> <p><strong>CDI: What is a common use case among your customers?</strong></p> <p><strong><br>Mark Cusack:</strong> If you make any on-line purchase, whether you buy airline tickets or electronics from Best Buy online, chances are your transaction’s being checked for credit card fraud by Yellowbrick. One of our customers validates about 20 billion on-line retail transactions a year. So we typically sell to financial services or insurance, highly regulated industries, or telcos with loads of data and business-critical problems, usually involving money. </p> <p>These customers use their Yellowbrick system 24×7 with very, very high levels of concurrency. We are in one of the largest credit companies in the world. They’ve standardized their enterprise data warehouse on Yellowbrick. Now we have multiple use cases at that company, including one with 12 petabytes of structured data.</p> <p>Customers like these have very high SLAs, but it’s incredibly important to be a partner. And I think that’s reflected in our NPS score. We help them get the best out of the system. And we are brutally honest as a company. Things we don’t do well, we say that up front, even if we qualify ourselves out of a deal.</p> <p><strong>CDI: Without giving away any secrets, can you tell us the next challenge you’re looking to help address for customers. What is the next big thing that you want to help them accomplish?</strong></p> <p><strong><br>Mark Cusack:</strong> We’re really emphasizing this idea of what we call “distributed data cloud.” We know that data is siloed around different kinds of business and on different clouds and technology stacks. Having one technology stack for managing this data, and one team of experts instead of one for each cloud, will solve a lot of the hybrid and multi-cloud complexity and promote the re-use of data, models, and schemas. A key to that is enabling data cataloging as a tool for minimizing the data and governing the cloud costs. We’re better enabling the AI side of things, not just supporting AI workloads but leveraging AI within the software itself.</p> <p><strong>CDI: Thank you very much for your time, Mark.</strong> <strong>We look forward to seeing what you bring to next year’s Gartner Data & Analytics Summit.</strong></p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img alt='Elisabeth Strenger' src='https://secure.gravatar.com/avatar/d42bdc4339b8a684f54ad42d3ac0accb?s=100&d=mm&r=g' srcset='https://secure.gravatar.com/avatar/d42bdc4339b8a684f54ad42d3ac0accb?s=200&d=mm&r=g 2x' class='avatar avatar-100 photo' height='100' width='100' itemprop="image"/></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/estrenger/" class="vcard author" rel="author"><span class="fn">Elisabeth Strenger</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elisabeth Strenger is a Senior Technology Writer at <a href="https://www.clouddatainsights.com/">CDInsights.ai</a>.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/extending-data-warehousing-to-the-cloud/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">1805</post-id> </item> <item> <title>Looking Forward to the Gartner Data and Analytics Summit</title> <link>https://www.clouddatainsights.com/looking-forward-to-the-gartner-data-and-analytics-summit/</link> <comments>https://www.clouddatainsights.com/looking-forward-to-the-gartner-data-and-analytics-summit/#respond</comments> <dc:creator><![CDATA[Elisabeth Strenger]]></dc:creator> <pubDate>Fri, 15 Jul 2022 18:49:23 +0000</pubDate> <category><![CDATA[AI/ML]]></category> <category><![CDATA[Cloud Data Platforms]]></category> <category><![CDATA[conferences]]></category> <category><![CDATA[data analytics]]></category> <category><![CDATA[Gartner summit]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=1437</guid> <description><![CDATA[The 2022 Gartner Data and Analytics Summit promises a thought-provoking series of sessions to prepare companies for new paradigms in data.]]></description> <content:encoded><![CDATA[ <figure class="wp-block-image size-full"><img decoding="async" src="https://www.clouddatainsights.com/wp-content/uploads/2022/07/Depositphotos_219684918_S.jpg" alt="" class="wp-image-1438"/></figure> <p>The Gartner Data and Analytics Summit is one of several <a href="https://www.clouddatainsights.com/top-conferences-for-data-and-ai-professionals-working-with-the-cloud/">highly anticipated conferences</a> coming up. It promises to offer innovative ways of thinking about the new era of data, and is a must-attend for any business dealing in data, i.e., all of them.</p> <p>Twenty-five years ago, a moderately sized software vendor I worked for had a data dilemma. When the CEO needed revenue data for strategic planning purposes, which was different from the revenue data that the CFO prepared to report to investors, he had to have three different departments which used three different data warehouse and reporting/analytics tools feed it to him. And, because he didn’t “trust” any of these, he had a private data guru of sorts, whose alchemy he did have confidence in. Was this fourth source of revenue data more trustworthy? Not necessarily, but the CEO understood how the data was sourced, understood how the integrity of regional data was preserved and was confident that his data expert knew how to interpret and balance the different sets of reports the company could generate.</p> <h3 class="wp-block-heading">Gartner’s Data and Analytics Summit speaks to new paradigms in data </h3> <p>The Gartner Data and Analytics Summit shows that technology and business data culture have made immense progress in the data of business and the business of data. However, the entire context has also undergone its own evolution. The cloud, the imperative for digital transformation, and compliance requirements have increased the complexity organizations face. Perhaps some still long for the days when “one source of truth” and “360° customer view” were rallying cries. Which, by the way, we never attained but seemed to have moved away from as there are new challenges to meet.</p> <p>The Summit’s agenda reflects the new challenges, problems, and opportunities of today’s data and analytics technology and practices. Even more importantly, the agenda speaks to the various roles and responsibilities that today’s enterprise data culture involves. Today, that means everything including CDOs, CISOs, IT decision makers, line-of-business leaders, and cloud, data, and infrastructure architects. Many events attempt to address this range of experts, but Gartner’s Summit accomplishes this.</p> <p>The Summit organizes its content into tracks with a clear focus on audience and outcomes. Some examples are Leadership and Skills: Be the Change Maker; Trust, Governance and Privacy: An Urgent Imperative; Data Science and Machine Learning: Unleash Innovation.</p> <p>The speaker roster includes Gartner analysts who have monitored and dissected the data technology market for years. Most consider them definitive experts in their fields who have had a hand in guiding countless organizations’ data practices. They have seen the good, the bad, and the ugly. Their presentations promise to provide market insights as well as pragmatic approaches. One of the tracks is even titled Technical Insights: The Art of the Pragmatic.</p> <h3 class="wp-block-heading">Some highlights to pique your curiosity and start your summit journey</h3> <p>On to some highlights. Who can resist the Bake-Off: Data Science and Machine Learning hosted by Carlie Idoine, VP Analyst? In this session, vendors will run through scripted demos with a common data set in a controlled setting. The judge? You, the attendee. What are the winning criteria? Speed, simplicity, feature set, integration ease, cloud flexibility?</p> <p>A session on developing an enterprise strategy for natural language processing (NLP) use cases by Bern Elliot, Distinguished VP Analyst, seems particularly interesting. When new technology is incubated in academic research and tried out in niche scenarios, it can take years to be adopted and fully leveraged in business applications. Understanding how to guide and accelerate that process will be a competitive differentiator for organizations. Customers are crying out for better chatbots and functioning voice recognition systems but let’s not stop there. Elliot previews that the key to taking advantage of NLP is “developing a futuristic outlook.”</p> <p>Speaking of the future, The Future of Data and Analytics — Reengineering the Decision, 2025 by Frank Buytendijk, Distinguished VP Analyst, will map the drivers for and potential outcomes of changing how businesses will move beyond the table stakes of “data-driven” decision-making and develop new ways of ensuring decisions across the enterprise are cohesive–”more connected, more contextual and more continuous.” </p> <h3 class="wp-block-heading">Be sure to check out the entire Gartner Summit line-up so you don’t miss a single opportunity</h3> <p>It’s difficult to select sessions to highlight, so don’t allow these examples to substitute for <a href="https://www.gartner.com/en/conferences/na/data-analytics-us/agenda" target="_blank" rel="noreferrer noopener">perusing the agenda yourself</a>. The mere act of reading through the agenda is a learning and thought-provoking exercise that will leave you with a list of topics for further investigation. Of course, attending the Gartner Data and Analytics Summit in Orlando (August 22 – 24) is possibly the very best opportunity for data leaders and data professionals to gain a deep perspective on what today’s technology and organizational science can offer an organization seeking to differentiate itself from its competition.</p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img alt='Elisabeth Strenger' src='https://secure.gravatar.com/avatar/d42bdc4339b8a684f54ad42d3ac0accb?s=100&d=mm&r=g' srcset='https://secure.gravatar.com/avatar/d42bdc4339b8a684f54ad42d3ac0accb?s=200&d=mm&r=g 2x' class='avatar avatar-100 photo' height='100' width='100' itemprop="image"/></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/estrenger/" class="vcard author" rel="author"><span class="fn">Elisabeth Strenger</span></a></div><div class="saboxplugin-desc"><div itemprop="description"><p>Elisabeth Strenger is a Senior Technology Writer at <a href="https://www.clouddatainsights.com/">CDInsights.ai</a>.</p> </div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/looking-forward-to-the-gartner-data-and-analytics-summit/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">1437</post-id> </item> <item> <title>Top Conferences for Data and AI Professionals Working with the Cloud</title> <link>https://www.clouddatainsights.com/top-conferences-for-data-and-ai-professionals-working-with-the-cloud/</link> <comments>https://www.clouddatainsights.com/top-conferences-for-data-and-ai-professionals-working-with-the-cloud/#respond</comments> <dc:creator><![CDATA[CDInsights Team]]></dc:creator> <pubDate>Fri, 03 Jun 2022 09:52:27 +0000</pubDate> <category><![CDATA[AI/ML]]></category> <category><![CDATA[Cloud Data Platforms]]></category> <category><![CDATA[Data Architecture]]></category> <category><![CDATA[Governance]]></category> <category><![CDATA[Integration]]></category> <category><![CDATA[Migration]]></category> <category><![CDATA[Security]]></category> <category><![CDATA[conferences]]></category> <guid isPermaLink="false">https://www.clouddatainsights.com/?p=1162</guid> <description><![CDATA[One of the best ways for data and AI professionals working in the cloud to keep pace with rapid developments in the field is to talk with peers and hear industry experts talk. The best way to do that is to attend some of these conferences.]]></description> <content:encoded><![CDATA[ <p><em>Updated: October 29, 2024</em></p> <p>As advanced technologies such as machine learning and cloud computing become increasingly popular, there are more and more conferences popping up all over the world. If you’re looking to stay ahead of the curve, or just want to learn more about these growing fields, attending one of these conferences is a great way to do so. </p> <p>We’ve compiled a list of top conferences related to cloud data taking place in 2024 and 2025 and will continue to update on a regular basis as we come across more. </p> <p>If you have any that you want to share with the readers of CloudDataInsights.com, please send the info to <a href="ewallace@rtinsights.com">this address</a>.</p> <h5 class="wp-block-heading"><strong>December 202</strong>4</h5> <p><a href="https://rtcd.in/3YJO6ix">The AI Summit NY</a></p> <p><strong>From the conference site:</strong> “The AI Summit New York unites the most forward-thinking technologists and business professionals to explore the real-world applications of AI.</p> <p>Think unparalleled opportunities for learning, deep-dive discovery, and non-stop networking (not to mention the incredible line-up of heavyweight speakers).” Save 15% when you register with the discount code: RTCD15OFF <a href="https://rtcd.in/4e5VSY8">Register now</a></p> <p><strong>Date:</strong> December 11-12, 2024</p> <p><strong>Location:</strong> New York, NY</p> <p><strong>February 2025</strong></p> <p><a href="https://aidevworld.com/">AI DevWorld</a></p> <p><strong>From the conference site:</strong> “Join 2,000 Executives, Engineers, and Entrepreneurs at the world’s largest artificial intelligence dev conference.”</p> <p><strong>Date: </strong>February 11-13, 2025</p> <p><strong>Location:</strong> Santa Clara, CA</p> <p><a href="https://tdwi.org/events/conferences/las-vegas/home.aspx">TDWI: Transform</a></p> <p><strong>From the conference site:</strong> “Where data, analytics, and AI teams go to transform their strategy, skills, and careers.”</p> <p><strong>Date:</strong> February 23-28, 2025</p> <p><strong>Location:</strong> Las Vegas, NV</p> <h5 class="wp-block-heading"><strong>March 202</strong>5</h5> <p><a href="https://www.gartner.com/en/conferences/na/data-analytics-us">Gartner Data & Analytics Summit</a></p> <p><strong>From the conference site:</strong> “Gartner Data & Analytics Summit 2025 is the premier location for data, analytics and AI leaders to uncover the latest in data management, data trends, governance, data architecture to deliver value for the future.” </p> <p><strong>Date:</strong> March 3-5, 2025</p> <p><strong>Location:</strong> Orlando, FL</p> <p><a href="https://www.mwcbarcelona.com/">MWC Barcelona</a></p> <p><strong>From the conference site:</strong> “Amazing things are already underway for the world’s largest and most influential connectivity event.”</p> <p><strong>Date:</strong> March 3-6, 2025</p> <p><strong>Location:</strong> Barcelona, Spain</p> <p><a href="https://www.nvidia.com/gtc/">GTC 2025</a></p> <p><strong>From the conference site:</strong> “See how technology breakthroughs are transforming generative AI, healthcare, industrial digitalization, robotics, and more.”</p> <p><strong>Date: </strong>March 17-20, 2025</p> <p><strong>Location:</strong> San Jose, CA and Virtual</p> <h5 class="wp-block-heading"><strong>April 202</strong>5</h5> <p><a href="https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/">Kubecon + cloudnativecon Europe 2025</a></p> <p><strong>From the conference site:</strong> “The Cloud Native Computing Foundation’s flagship conference gathers adopters and technologists from leading open source and cloud native communities in London, England from 1-4 April, 2025. Join our CNCF Graduated and Incubating Projects as the community gathers for four days to further the education and advancement of cloud native computing.”</p> <p><strong>Date: </strong>April 1-4, 2025</p> <p><strong>Location:</strong> London, England</p> <h5 class="wp-block-heading"><strong>May 202</strong>5</h5> <p><a href="https://cai.ieee.org/2025/">2025 IEEE Conference on Artificial Intelligence (IEEE CAI)</a></p> <p><strong>From the conference site:</strong> “The IEEE Conference on Artificial Intelligence (IEEE CAI) is an international conference and exhibition with an emphasis on the applications of AI and key AI verticals that impact industrial technology applications and innovations. You will learn about new research and breakthroughs in the industry, gain insight into new start-ups and leading AI companies, grow your network, and get inspired by the brightest minds working in the multi-faceted fields.”</p> <p><strong>Date: </strong>May 5-7, 2025</p> <p><strong>Location:</strong> Santa Clara, CA</p> <p><a href="https://odsc.com/boston/">ODSC East 2025</a></p> <p><strong>From the conference site:</strong> “ODSC is the lead conference to discover and learn the open-source tools and industry platforms driving the AI revolution, reconnect with the machine learning community, accelerate your learning and build your network.”</p> <p><strong>Date: </strong>May 13-15, 2025</p> <p><strong>Location:</strong> Boston, MA</p> <p><a href="https://www.dbta.com/DataSummit/2025/default.aspx">Data Summit 2025</a></p> <p><strong>From the conference site:</strong> “<em>Database Trends & Applications</em> is excited to bring our community of data professionals together this May 13 – 15 in Boston for 3 days of practical advice, inspiring thought leadership, and in-depth training. Join your peers to learn, share, and celebrate the trends and technologies shaping the future of data. And, see where the world of big data and data science is going and how to get there first.”</p> <p><strong>Date: </strong>May 13-15, 2025</p> <p><strong>Location:</strong> Boston, MA</p> <h5 class="wp-block-heading"><strong>June 202</strong>5</h5> <p><a href="https://www.snowflake.com/summit/">Snowflake Summit 2025</a></p> <p><strong>From the conference site:</strong> “The four-day conference will feature over 400 sessions, hands-on labs, training and certification opportunities and more. Attend Snowflake Summit, and build the future together with AI and Apps. Hear valuable insights from data and AI experts and business leaders, while discovering the limitless possibilities of data, AI and application collaboration for your organization.”</p> <p><strong>Date: </strong>June 2-5, 2025</p> <p><strong>Location:</strong> San Francisco, CA</p> <p><a href="https://www.databricks.com/dataaisummit/">Data + AI Summit 2025</a></p> <p><strong>From the conference site:</strong> “Data scientists, data engineers, analysts, developers, researchers and ML practitioners all attend Summit to learn from the world’s leading experts on topics such as: Data Strategy and Lakehouse Implementation; Data Warehousing, Analytics and BI; Data Governance, Generative AI, and more.”</p> <p><strong>Date: </strong>June 10-12, 2025</p> <p><strong>Location:</strong> San Francisco, CA</p> <p><a href="https://events.linuxfoundation.org/open-source-summit-north-america/">Open Source Summit: North America</a></p> <p><strong>Date: </strong>June 23-25, 2025</p> <p><strong>Location:</strong> Denver, CO</p> <h5 class="wp-block-heading"><strong>July 202</strong>5</h5> <p><a href="https://events.reutersevents.com/momentum">Momentum AI San Jose 2025</a></p> <p><strong>From the conference site:</strong> “Imagine standing at the vanguard of enterprise AI innovation – with everything you could possibly need to benchmark, evaluate, deploy, and scale AI in your business. The Momentum AI Global Business Summit, presented by Reuters Events, is your launchpad.”</p> <p><strong>Date: </strong>July 15-16, 2025</p> <p><strong>Location:</strong> San Jose, CA</p> <h5 class="wp-block-heading"><strong>August 202</strong>5</h5> <p><a href="https://ai4.io/vegas/">Ai4 2025</a></p> <p><strong>From the conference site:</strong> “Established in 2018, Ai4 is now the epicenter of the artificial intelligence ecosystem and the industry’s only must-attend event.</p> <p>Enjoy dedicated content & unbeatable networking for both business & technical leaders from every major industry and job function, from leading AI startups, investors, and government organizations. Together, we’re building the future of responsible human-machine collaboration.”</p> <p><strong>Date: </strong>August 11-13, 2025</p> <p><strong>Location:</strong> Las Vegas, NV</p> <h5 class="wp-block-heading"><strong>September 2025</strong></h5> <p><a href="https://www.bigdataldn.com/">Big Data LDN</a></p> <p><strong>From the conference site:</strong> “The two day event is a hub for the Data Community to learn and share best practice, build relationships and find the tools needed to develop an effective data-driven business.”</p> <p><strong>Date: </strong>September 24-25, 2025</p> <p><strong>Location:</strong> London, England</p> <h5 class="wp-block-heading"><strong>October 202</strong>5</h5> <p><a href="https://cdao-fall.coriniumintelligence.com/">CDAO Fall</a></p> <p><strong>From the conference site:</strong> “CDAO Fall is your gateway to a vibrant community of data experts who are shaping the future in the ever-evolving world of data, analytics, and AI. It is the only event that unites data experts across industries, functions, and business units.”</p> <p><strong>Date: </strong>October 14-15, 2025</p> <p><strong>Location:</strong> Boston, MA</p> <p><a href="https://events.linuxfoundation.org/pytorch-conference-2025/">PyTorch Conference 2025</a></p> <p><strong>Date: </strong>October 22-23, 2025</p> <p><strong>Location:</strong> San Francisco, CA</p> <p><em>Updated: October 29, 2024</em></p> <div class="saboxplugin-wrap" itemtype="http://schema.org/Person" itemscope itemprop="author"><div class="saboxplugin-tab"><div class="saboxplugin-gravatar"><img alt='CDInsights Team' src='https://secure.gravatar.com/avatar/d30672d9d4f9e3f537c2d743a4385997?s=100&d=mm&r=g' srcset='https://secure.gravatar.com/avatar/d30672d9d4f9e3f537c2d743a4385997?s=200&d=mm&r=g 2x' class='avatar avatar-100 photo' height='100' width='100' itemprop="image"/></div><div class="saboxplugin-authorname"><a href="https://www.clouddatainsights.com/author/cdinsights-team/" class="vcard author" rel="author"><span class="fn">CDInsights Team</span></a></div><div class="saboxplugin-desc"><div itemprop="description"></div></div><div class="clearfix"></div></div></div>]]></content:encoded> <wfw:commentRss>https://www.clouddatainsights.com/top-conferences-for-data-and-ai-professionals-working-with-the-cloud/feed/</wfw:commentRss> <slash:comments>0</slash:comments> <post-id xmlns="com-wordpress:feed-additions:1">1162</post-id> </item> </channel> </rss>