• Thank you for your interest in speaking at Deep Learning World (DLW) in Las Vegas. If instead you are seeking to submit to a DLW in a city other than Las Vegas, or to a Predictive Analytics World event, please start at the overall Predictive Analytics World and Deep Learning World call-for-speakers page.

    NOTE: Before completing your submission, be certain to review the following important submission requirements, as well as the full list of requirements and restrictions at the bottom of this page:
    • Completed work. The work about which you are proposing to speak must already be completed, and any pertinent results attained, prior to submitting the speaker submission form.
    • Authorization to present. Prior to submitting the speaker submission form, you must attain permission from your employer to attend the event and to present the contents about which you are proposing to speak. In completing your submission, you certify that you have done so.
    • Speaker cancelations. Your submission is a professional commitment to speak if accepted. Review the more detailed "speaker cancelation" paragraph below. Cancelations do a great disservice to DLW attendees.
  • Presentation Information

  • * = required fields
  • Indicate the event's month, year and city.
  • 100 word maximum. This should be the complete description as it will appear in the conference program if your submission is accepted (see a sample DLW program for examples).
  • * If this is a case study, do you have authority to share the name of the company, i.e., the organization that benefited, within both your presentation materials and in the publicized conference program? Note that this question applies whether the company is your client or your affiliation. Your answer to this yes/no question pertains to the company name you enter in the the immediately following field below. Answering "yes" greatly increases the potential to have your speaking submission approved - however, you must only answer "yes" if you have already secured the authorization to name the company.
  • Name of company to which case study pertains (if it is your affiliation, name the company here as well as under "Affiliation" below). Please note that, if you are an analytics vendor or consultancy, in most cases, this field is not meant to be your company name - the field only applies if you will disclose and discuss the end-using organization that achieves value with the deployment of machine learning. If you are a vendor, for example, this may be one of your clients. This distinction also pertains to the two yes/no questions immediately above - 50 chars maximum.
  • Primary modeling or machine learning method employed - this information is collected for internal use and will not appear in your session title or description unless you include it in the pertinent fields above. For DLW, please provide something more specific than "deep learning" or "neural networks." If you are an analytics services vendor that works primarily or exclusively with one analytics software vendor, indicate this and name the software vendor (required) - 50 chars maximum.
  • Secondary modeling or machine learning method employed - this information is collected for internal use and will not appear in your session title or description unless you include it in the pertinent fields above - 50 chars maximum.
  • Primary modeling or machine learning software tool employed - this information is collected for internal use only and, according to DLW policy, may not appear in your session title or description unless it is a free tool - 50 chars maximum.
  • Secondary modeling or machine learning software tool employed - this information is collected for internal use only and, according to DLW policy, may not appear in your session title or description unless it is a free tool.
  • For which audience level would your presentation be a better fit: "Expert/practitioner" or "All levels"? Most event sessions are labelled as one or the other. Instead of choosing, you may indicate that either would work for you, and/or indicate a degree of preference. You also may optionally include more specific audience requirements, or other related comments. Note that "All levels" sessions are not necessarily more popular sessions; more than half of the event attendees are hands-on practitioners, many of whom look to "Expert/practitioner" sessions for primary content.
  • Speaker Information

  • If you are not the speaker (e.g., an agent, assistant, or PR staff), your email is required here, in addition to the speaker's direct email address in the field just above.
  • Speaker bio - 150 word maximum. This should be your complete bio, in paragraph form, as it will appear in the conference program if your submission is accepted (see prior DLW speakers for examples). The bio should be written in third person. If you have previously spoken at DLW, please begin this field with, "PREVIOUS SPEAKER" (this phrase will not be included in your bio).
  • Speaking experience, a sentence on the quantitative evaluation results and/or project ROI you will present, and any other information, such as references (optional) or a second speaker. If you are proposing a co-presenter, provide name, affiliation, bio and email address. Note that co-presenters are only permitted if they will provide substantive content; co-presenters intended only for introductions, formalities or vendor information are not permitted. If your co-presenter has previously spoken at a DLW event, please include, "PREVIOUS SPEAKER" (this phrase will not be included in her or his bio).
  • NOTE: If for some reason you do not receive an emailed submission confirmation within three hours after submission - a very rare or non-existent occurrence - please check your SPAM folder, re-submit your proposal with this form, and email chair@deeplearningworld.com; be certain to retain a copy of all your field entries above for your records.

    Click the "Submit" button below only if you agree to the following speaker requirements and restrictions:
    • Vendor-neutral content. Your presentation may contain no "sales pitches" or sales-oriented material. Although positive exposure is generally a natural side-effect of presenting at DLW, your session must focus entirely (with the exception of a brief, "non-salesy" mention of the software solution employed, if relevant) on substantive content that the audience can implement and benefit from without necessarily buying any particular product or professional service.
    • IMPORTANT: Completed work.The work about which you are proposing to speak must already be completed, and any pertinent results attained, prior to submitting the speaker submission form.
    • IMPORTANT: Authorization to present. Prior to submitting the speaker submission form, you must attain permission from your employer to attend the event and to present the contents about which you are proposing to speak. In completing your submission, you certify that you have done so. Be sure to attain this authorization before submitting the speaker proposal form.
    • Named case study. If your submission indicates you have authority to share the name of the organization or department that benefited from the deployment of machine learning, you must attain, prior to submitting the speaker submission form, such authorization, both for it to be named within your presentation materials, as well as within DLW's event publicity materials and listings. If for any reason the organization subsequently revokes authorization to be named (i.e., "changes its mind"), the session will be cancelled from the DLW program.
    • Travel expenses. DLW does not have a budget to cover speaker travel expenses. Speakers are responsible for their own travel expenses. You certify that you have secured funds (or secured authorization for such funds, where applicable) to fully cover your travel expenses as needed in order to attend the event at which you are proposing to speak.
    • Speaker cancellation. You certify that you have the means and opportunity to attend and present at the DLW event at which you are proposing to speak, and that you have attained any pertinent authorization, such as that of your employer, prior to submitting the speaker submission form. If your submission to speak at DLW is accepted, cancellation subsequent to DLW speaker registration for any non-medical reason is against DLW policy and is considered an infraction against meeting your professional obligations. If your submission is accepted, DLW will rely on your participation and will turn away qualified speakers in favor of including your session. DLW begins publicizing your session immediately upon confirmation in order to attract attendees to the event. If medical conditions preclude your attendance at DLW, you agree to make best efforts to notify DLW as early as possible; in such a case, while assistance finding a replacement speaker is requested and appreciated, DLW must screen any prospective replacement speaker, and retains the right to find a replacement speaker on its own.
    • Agents and PR staff. If the person completing the speaker submission form is not the speaker (e.g., an agent, assistant, or PR staff), you must enter both your email address as well as the speaker's, as indicated on the submission form. You certify that you are authorized as an agent to submit the speaker proposal form on her or his behalf, and that the speaker has been consulted regarding, and is willing to agree to, the provisions listed here; upon acceptance, the speaker her- or himself will be required to explicitly agree to these provisions via the DLW Speaker Agreement.
    • Co-presenters. If not included within your speaker submission, co-presenters may only participate at DLW after attaining prior permission from DLW, and after they have undertaken DLW speaker registration.
    • Client co-presenters. If you are an analytics services vendor or consultant co-presenting with a client, per DLW policy, the cancellation of your co-presenter will result in the cancellation of your overall session.
    • Session length. You agree to participate in a speaking slot ranging from 20 to 45 minutes, at the discretion of DLW, as determined by its conference program constraints and requirements.
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