{% extends "templates/base.html" %}

{% block title %}Workstations journey to AI{% endblock %}

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{% block meta_description %}{% endblock %}

{% block outer_content %}
<section class="p-strip--suru-half-and-half-reversed is-dark">
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            <h1>Data Science Workstations</h1>
            <h4>Take a deep dive into how workstations enable the AI journey in this four-part webinar series</h4>
        </div>
        <div class="col-6 u-align--right u-hide--small">
            {{
                image(
                  url="https://assets.ubuntu.com/v1/14ab54c1-DELL+canonical.svg",
                  alt="Dell and Canonical",
                  width="350",
                  hi_def=True,
                ) | safe
            }}
        </div>
    </div>
</section>
<section class="p-strip is-bordered">
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            <h4 class="p-muted-heading">Part 1 - On demand</h4>
            <h2>Data Pipelines</h2>
            <p>Explore the best open source platforms and tools that help to work on large and varying datasets</p>
            <p>While new AI algorithms and training methods get all the hype, most analysts agree that data scientists spend up to 80% of their time on data: exploration, acquisition, ingestion, transformation and cleansing. This webinar will explore best open source platforms and tools that help to work on large and varying datasets, which is the first step of a four piece series on the AI Journey.</p>

            <strong>In this session we will talk about:</strong>
            <ul class="p-list">
                <li class="p-list__item is-ticked">Data cleaning</li>
                <li class="p-list__item is-ticked">ETL</li>
                <li class="p-list__item is-ticked">Data governance</li>
                <li class="p-list__item is-ticked">Data ingestion</li>
                <li class="p-list__item is-ticked">Data types</li>
                <li class="p-list__item is-ticked">Locality impacts on performance and security</li>
            </ul>
            <strong>Speakers:</strong>
            <ul class="p-list">
                <li class="p-list__item">Maciej Mazur - Product Manager at Canonical</li>
                <li class="p-list__item">Kyle Harper - Director of AI Strategy at Dell</li>
                <li class="p-list__item">Michael Boros - AI Strategy at Dell</li>
            </ul>

            <a class="p-button--positive" href="https://www.brighttalk.com/webcast/6793/480302?utm_source=Canonical&utm_medium=brighttalk&utm_campaign=480302">Watch the webinar</a>
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    </div>
</section>

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            <h4 class="p-muted-heading">Part 2 - June 8th | 11AM ET & 4PM BST</h4>
            <h2>Choosing your algorithm</h2>
            <p>In this session we will talk about statistical computer vision, NLP, predictions, segmentation</p>
            <a href="https://www.brighttalk.com/webcast/6793/480482" class="p-button--positive">Register</a>
        </div>
    </div>
</section>

<section class="p-strip is-bordered">
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            <h4 class="p-muted-heading">Part 3 - August 10th | 11AM ET & 4PM BST</h4>
            <h2>Training on the workstation</h2>
            <p>In this session we will talk about, workstation vs server vs cloud, ephemeral environments, and GPU/acceleration</p>
            <a href="https://www.brighttalk.com/webcast/6793/480563" class="p-button--positive">Register</a>
        </div>
    </div>
</section>

<section class="p-strip is-bordered">
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            <h4 class="p-muted-heading">Part 4 - Oct 12th | 11AM CT & 4PM BST</h4>
            <h2>Deployment anywhere</h2>
            <p>In this session we will talk about Inference engines deployment</p>
            <a href="https://www.brighttalk.com/webcast/6793/480564" class="p-button--positive">Register</a>
        </div>
    </div>
</section>
{% endblock %}