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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>
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              <a href="https://tdwi.org/events/conferences/chicago/Speakers/Speaker Window.aspx?SpeakerId={7E15D5A2-C6F3-4429-AB1C-1AE823EACE1C}&amp;ID={4E326526-501A-481D-B97B-77ACD80F8A4C}"><img src="-/media/TDWI/TDWI-Events/Images/Speaker-Images/winter_richard_2020_speaker.png" alt="Richard Winter"></a>
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                <a href="https://tdwi.org/events/conferences/chicago/Speakers/Speaker Window.aspx?SpeakerId={7E15D5A2-C6F3-4429-AB1C-1AE823EACE1C}&amp;ID={4E326526-501A-481D-B97B-77ACD80F8A4C}">Richard Winter</a></p>
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              <p id="contentbox3_1_SpeakerInfo_SpeakerTitle_0" class="speakertitle">CEO &amp; Principal Consultant</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>
            <p></p>
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TOPICS

 * Modern Data
   Management
 * Platforms and
   Architectures
 * Data Strategy and
   Program Leadership
 * Analytics and
   Business Intelligence

EARN A CERTIFICATE

 * Data Literacy
   Bootcamp
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 * TDWI Transform 2024
 * Modern Data Leader’s Summit

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< Transform 2024 Conferences


TDWI CHICAGO


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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



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REGISTER ONLINE

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server environment keeps your information private.

Register Now

 * * 17days
   * 7hours
   * 54mins
   * 56secs
 * Save up to $970 thru Mar. 1
 * Register Now


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TDWI CHICAGO

Chicago, IL
April 28–May 3

Register Now





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