Melisa Tokmak's guest appearances

Melisa Tokmak

Moving Up

Second in Command: The Chief Behind the Chief

Utilizing AI - The Enterprise AI Podcast

Cenk Sidar ile Geleceğe Dönüş

Execs

OwlTail

Scale AI

Melisa Tokmak is a General Manager at Scale AI after serving as a Chief of Staff to the CEO and the company. She also spent time as a Product Manager at both Facebook and Instagram.  In this episode, we learn Melisa’s tips for scaling culture - notably her recommendation to find and hire “people who give a shit.” We also ask her “what’s a Chief of Staff, really?” and chat about how Scale is building the data infrastructure layer for AI.Melisa is one of those rare souls who is both intelligent and wise. Glad to have had this conversation with her.  --- Execs is a show for founders, operators, and pioneers who want to understand the playbooks, frameworks, and tactics that leading tech companies today have used to scale.  To engage further:  Check out the On Deck job board Share your thoughts with us on Twitter:  Hosted by: @eriktorenberg Featuring guest: @melisatokmakProduced by: @jacksonsteger Brought to you by: @beondeck 

Melisa Tokmak is a General Manager at Scale AI after serving as a Chief of Staff to the CEO and the company. She also spent time as a Product Manager at both Facebook and Instagram.  In this episode, we learn Melisa’s tips for scaling culture - notably her recommendation to find and hire “people who give a shit.” We also ask her “what’s a Chief of Staff, really?” and chat about how Scale is building the data infrastructure layer for AI.Melisa is one of those rare souls who is both intelligent and wise. Glad to have had this conversation with her.  --- Execs is a show for founders, operators, and pioneers who want to understand the playbooks, frameworks, and tactics that leading tech companies today have used to scale.  To engage further:  Check out the <a href="https://beondeck.com/careers" rel="nofollow" target="_blank">On Deck job board </a>Share your thoughts with us on Twitter:   Hosted by: <a href="https://twitter.com/eriktorenberg" rel="nofollow" target="_blank">@eriktorenberg </a> Featuring guest: <a href="https://twitter.com/melisatokmak?lang=en" rel="nofollow" target="_blank">@melisatokmak</a> Produced by: <a href="https://twitter.com/jacksonsteger" rel="nofollow" target="_blank">@jacksonsteger </a> Brought to you by: <a href="http://twitter.com/beondeck" rel="nofollow" target="_blank">@beondeck </a>

Melisa Tokmak (GM at Scale AI, ex Chief of Staff at Scale AI)

Melisa Tokmak is the Head of Scale AI’s Document AI business, which focuses on building fine-tuned machine learning models to process documents at high quality. As the founder and leader of this unit, Melisa supports a team of engineers and machine learning scientists, as well as product, operations, sales, and marketing. She is now spearheading […] The post Ep. 192 – Scale Ai General Manager, Melisa Tokmak appeared first on COO Alliance.

Melisa Tokmak is the Head of Scale AI’s Document AI business, which focuses on building fine-tuned machine learning models to process documents at high quality. As the founder and leader of this unit, Melisa supports a team of engineers and machine learning scientists, as well as product, operations, sales, and marketing. She is now spearheading […] The post <a href="https://cooalliance.com/podcasts/ep-192-scale-ai-general-manager-melisa-tokmak/" rel="nofollow" target="_blank">Ep. 192 – Scale Ai General Manager, Melisa Tokmak</a> appeared first on <a href="https://cooalliance.com" rel="nofollow" target="_blank">COO Alliance</a>.

Ep. 192 – Scale Ai General Manager, Melisa Tokmak

Data is the most important component of AI implementation, but most companies neglect data infrastructure and focus too much on the ML models. In this episode of the Utilizing AI podcast, Melisa Tokmak of Scale AI joins Frederic Van Haren and Stephen Foskett to discuss the democratization of data infrastructure to support machine learning projects. Enterprises often don't have a good understanding of their data, and this can undermine the success of an AI project, and this must be addressed before the project can proceed. Companies also must consider the quality of their data, beginning with a definition of the metrics that will properly assess the data foundation for their ML models.  Three Questions  Frederic: Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters? Stephen: How big can ML models get? Will today's hundred-billion parameter model look small tomorrow or have we reached the limit? Alexandrine Royer: What do you think is one of the biggest ethical challenges that comes with AI that often goes under-discussed and should be more present in conversations surrounding the deployment of AI models?  Guests and Hosts  Melisa Tokmak, GM at Scale AI. Connect with Melisa on LinkedIn or on Twitter @MelisaTokmak.  Frederic Van Haren, Founder at HighFens Inc., Consultancy &amp; Services. Connect with Frederic on Highfens.com or on Twitter at @FredericVHaren. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen’s writing at GestaltIT.com and on Twitter at @SFoskett.        Date: 11/09/2021 Tags: @MelisaTokmak, @scale_AI, @SFoskett, @FredericVHaren  

Data is the most important component of AI implementation, but most companies neglect data infrastructure and focus too much on the ML models. In this episode of the Utilizing AI podcast, Melisa Tokmak of Scale AI joins Frederic Van Haren and Stephen Foskett to discuss the democratization of data infrastructure to support machine learning projects. Enterprises often don't have a good understanding of their data, and this can undermine the success of an AI project, and this must be addressed before the project can proceed. Companies also must consider the quality of their data, beginning with a definition of the metrics that will properly assess the data foundation for their ML models. Three Questions <ul> <li>Frederic: Will we ever see a Hollywood-style “artificial mind” like Mr. Data or other characters?</li> <li>Stephen: How big can ML models get? Will today's hundred-billion parameter model look small tomorrow or have we reached the limit?</li> <li>Alexandrine Royer: What do you think is one of the biggest ethical challenges that comes with AI that often goes under-discussed and should be more present in conversations surrounding the deployment of AI models?</li> </ul> Guests and Hosts <ul> <li>Melisa Tokmak, GM at <a href="https://scale.com/?utm_location=9015317&amp;utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=13660454567&amp;utm_term=scale%20ai&amp;hsa_acc=8100071054&amp;hsa_cam=13660454567&amp;hsa_grp=129772332691&amp;hsa_ad=547933569299&amp;hsa_src=g&amp;hsa_tgt=kwd-490460185097&amp;hsa_kw=scale%20ai&amp;hsa_mt=e&amp;hsa_net=adwords&amp;hsa_ver=3&amp;gclid=Cj0KCQiAsqOMBhDFARIsAFBTN3ePzrPk0DT4_LrYCUII2st-UKkcbGccjm9RxpyCU0yTRi9n9HXvcW8aAgSpEALw_wcB" rel="nofollow" target="_blank">Scale AI.</a> <a href="https://www.linkedin.com/in/mtokmak/" rel="nofollow" target="_blank">Connect with Melisa on LinkedIn </a>or on Twitter <a href="https://twitter.com/melisatokmak" rel="nofollow" target="_blank">@MelisaTokmak</a>. </li> <li>Frederic Van Haren, Founder at HighFens Inc., Consultancy &amp; Services. Connect with Frederic on<a href="https://highfens.com/" rel="nofollow" target="_blank"> </a>Highfens<a href="https://highfens.com/" rel="nofollow" target="_blank">.com</a> or on Twitter at <a href="https://twitter.com/FredericVHaren" rel="nofollow" target="_blank">@FredericVHaren</a>.</li> <li>Stephen Foskett, Publisher of <a href="https://gestaltit.com/" rel="nofollow" target="_blank">Gestalt IT</a> and Organizer of <a href="https://techfieldday.com/" rel="nofollow" target="_blank">Tech Field Day</a>. Find Stephen’s writing at <a href="https://gestaltit.com/" rel="nofollow" target="_blank">GestaltIT.com</a> and on Twitter at <a href="https://twitter.com/SFoskett" rel="nofollow" target="_blank">@SFoskett.      </a></li> </ul> Date: 11/09/2021 Tags: @MelisaTokmak, @scale_AI, @SFoskett, @FredericVHaren<a href="https://twitter.com/SFoskett" rel="nofollow" target="_blank"> </a><a href="https://twitter.com/SFoskett" rel="nofollow" target="_blank"> </a>

3x10: Democratizing Data Infrastructure for ML with Melisa Tokmak of Scale AI

‘Geleceğe Dönüş’ün yeni bölümünde Cenk Sidar, Scale AI şirketinin yöneticisi Melisa Tokmak ile konuşuyor. Tokmak, Salihli’den San Francisco’ya uzanan başarı hikayesini, Stanford’daki eğitimini ve yapay zeka konusundaki kariyerini anlatıyor. Kapsül'ün e-bültenlerine buradan abone olabilirsin. Kapsül'ü Twitter, Instagram ve Facebook'ta da takip edebilirsin. Kapsül'e Patreon üzerinden destekte bulunabilirsiniz.--- Send in a voice message: https://anchor.fm/kapsul/messageSupport this podcast: https://anchor.fm/kapsul/support

‘Geleceğe Dönüş’ün yeni bölümünde <a href="https://twitter.com/cenksidar" rel="nofollow" target="_blank">Cenk Sidar</a>, Scale AI şirketinin yöneticisi <a href="https://twitter.com/melisatokmak" rel="nofollow" target="_blank">Melisa Tokmak</a> ile konuşuyor. Tokmak, Salihli’den San Francisco’ya uzanan başarı hikayesini, Stanford’daki eğitimini ve yapay zeka konusundaki kariyerini anlatıyor. Kapsül'ün e-bültenlerine <a href="//www.kapsul.com.tr" rel="nofollow" target="_blank">buradan</a> abone olabilirsin. Kapsül'ü <a href="https://twitter.com/kapsul_news" rel="ugc noopener noreferrer nofollow" target="_blank">Twitter</a>, <a href="https://instagram/kapsulnews" rel="ugc noopener noreferrer nofollow" target="_blank">Instagram</a> ve <a href="https://facebook/kapsulnews" rel="ugc noopener noreferrer nofollow" target="_blank">Facebook</a>'ta da takip edebilirsin. Kapsül'e Patreon üzerinden <a href="https://www.patreon.com/join/kapsulnews?" rel="ugc noopener noreferrer nofollow" target="_blank">destekte</a> bulunabilirsiniz.--- Send in a voice message: <a href="https://anchor.fm/kapsul/message" rel="nofollow" target="_blank">https://anchor.fm/kapsul/message</a> Support this podcast: <a href="https://anchor.fm/kapsul/support" rel="payment nofollow" target="_blank">https://anchor.fm/kapsul/support</a>