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Effective URL: https://tdwi.org/Events/Conferences/Chicago/Courses/Monday/ADV-ALL-ARCH-ALL-Modern-Data-Platforms-and-Architectur...
Submission: On February 13 via api from US — Scanned from DE
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<h4 id="contentbox3_1_SessionName"><span class="l2">M5A</span> Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale<span>NEW!</span></h4>
<p id="contentbox3_1_Date" class="date">April 29, 2024</p>
<p id="contentbox3_1_StartTime" class="startTime">9:00 am - 12:15 pm</p>
<p id="contentbox3_1_Duration" class="duration">Duration: Morning</p>
<div>
<p id="contentbox3_1_SessionLevel" class="level">Level: Intermediate to Advanced</p>
<p id="contentbox3_1_Prerequisite" class="prereq">Prerequisite: <br>Understanding of data platform concepts and uses<br> Some familiarity with the concepts of SQL</p>
<!-- Speaker start -->
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<a href="https://tdwi.org/events/conferences/chicago/Speakers/Speaker Window.aspx?SpeakerId={7E15D5A2-C6F3-4429-AB1C-1AE823EACE1C}&ID={4E326526-501A-481D-B97B-77ACD80F8A4C}"><img src="-/media/TDWI/TDWI-Events/Images/Speaker-Images/winter_richard_2020_speaker.png" alt="Richard Winter"></a>
<p id="contentbox3_1_SpeakerInfo_SpeakerName_0" class="speaker">
<a href="https://tdwi.org/events/conferences/chicago/Speakers/Speaker Window.aspx?SpeakerId={7E15D5A2-C6F3-4429-AB1C-1AE823EACE1C}&ID={4E326526-501A-481D-B97B-77ACD80F8A4C}">Richard Winter</a></p>
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<p>In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics.</p>
<p>Recent advances in AI and advanced analytics have opened vast new opportunities for companies to benefit from data. However, there are challenges on the path to those great business advances. For example, training and running AI/ML
models, particularly at large scale, can be extraordinarily expensive. Your current data platform for BI and reporting may not be suitable, depending on the scale, complexity, and other factors of your AI/ML-related initiatives.</p>
<p><strong>The key to managing the costs and the time to value—for classic and generative AI models as well as other forms of advanced analytics—is the data platform.</strong> Some data platforms will perform well at large scale and
others will not. Further, customer needs will vary in complex ways. So, a data platform that supports the AI operations of company A may not work well for company B.</p>
<p>This half-day course will cover the concepts, architecture, and key requirements for the modern data platform that supports AI, machine learning, and advanced analytics. The capabilities of the most widely used data platforms in this
area will be reviewed. A process for platform evaluation, testing, and selection will be discussed.</p>
<h4>You Will Learn</h4>
<ul>
<li>Examples of key problems in AI, ML, and advanced analytics</li>
<li>The key issues for the data platform supporting AI, ML, and advanced analytics</li>
<li>Architectural features and their effects at scale</li>
<li>Key data platform requirements for AI, ML, and advanced analytics</li>
<li>Brief review of the most widely used data platforms and their relevant features</li>
<li>Approaches for data platform evaluation and testing</li>
</ul>
<h4>Geared To</h4>
<ul>
<li>Data strategists</li>
<li>Data architects</li>
<li>Managers</li>
<li>AI stakeholders</li>
</ul>
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x TOPICS * Modern Data Management * Platforms and Architectures * Data Strategy and Program Leadership * Analytics and Business Intelligence EARN A CERTIFICATE * Data Literacy Bootcamp * Data Science Bootcamp * Data Strategy Bootcamp * TDWI Transform 2024 * Modern Data Leader’s Summit By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More < Transform 2024 Conferences TDWI CHICAGO * Agenda * Masterclass Agenda * MDL Summit Agenda * Hands-On Labs * Bootcamps * Instructor Office Hours * Suggested Tracks * Pricing * Travel * Travel & Accommodations * Activities & Events * Sponsors * Sponsors & Exhibit Hall * Become a Sponsor * Why TDWI? * Why TDWI? * Sell Your Boss * Register Now TDWI TRANSFORM 2024 CHICAGO | APR. 28–MAY 3 Save up to $970 thru Mar. 1 17 Days 7 Hours 54 Minutes COURSE DESCRIPTION M5A MODERN DATA PLATFORMS AND ARCHITECTURES FOR ADVANCED ANALYTICS, AI, AND MACHINE LEARNING AT SCALENEW! April 29, 2024 9:00 am - 12:15 pm Duration: Morning Level: Intermediate to Advanced Prerequisite: Understanding of data platform concepts and uses Some familiarity with the concepts of SQL Richard Winter CEO & Principal Consultant WinterCorp In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics. Recent advances in AI and advanced analytics have opened vast new opportunities for companies to benefit from data. However, there are challenges on the path to those great business advances. For example, training and running AI/ML models, particularly at large scale, can be extraordinarily expensive. Your current data platform for BI and reporting may not be suitable, depending on the scale, complexity, and other factors of your AI/ML-related initiatives. The key to managing the costs and the time to value—for classic and generative AI models as well as other forms of advanced analytics—is the data platform. Some data platforms will perform well at large scale and others will not. Further, customer needs will vary in complex ways. So, a data platform that supports the AI operations of company A may not work well for company B. This half-day course will cover the concepts, architecture, and key requirements for the modern data platform that supports AI, machine learning, and advanced analytics. The capabilities of the most widely used data platforms in this area will be reviewed. A process for platform evaluation, testing, and selection will be discussed. YOU WILL LEARN * Examples of key problems in AI, ML, and advanced analytics * The key issues for the data platform supporting AI, ML, and advanced analytics * Architectural features and their effects at scale * Key data platform requirements for AI, ML, and advanced analytics * Brief review of the most widely used data platforms and their relevant features * Approaches for data platform evaluation and testing GEARED TO * Data strategists * Data architects * Managers * AI stakeholders Back to previous page * Masterclasses * The TDWI Difference * Modern Data Management REGISTER ONLINE Rest easy—online registrations for this conference are secure. Our secured server environment keeps your information private. Register Now * * 17days * 7hours * 54mins * 56secs * Save up to $970 thru Mar. 1 * Register Now FOLLOW TDWI * LinkedIn * Facebook * YouTube * Instagram * Podcast * Agenda * Pricing * Travel & Accommodations * Sponsors * Why TDWI? 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