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Conferences / AI Con USA

AI Con USA 2024

Jun 2–7, 2024 · Caesars Palace, Las Vegas, NV, United States

Conference
AI Con USA Data science & ML
Dates
Jun 2, 2024 – Jun 7, 2024
Venue
Caesars Palace
Place
Las Vegas, NV, United States
Format
Hybrid
Status
Past
Attendance
—
Website
aiconusa.techwell.com
Recorded
10 sponsors · 37 speaker appearances
Notes
First edition. Pre-conference training Jun 2-4, tutorials Jun 3-4, conference sessions/keynotes/expo Jun 5-6, AI Leadership Summit Jun 6-7; also streamed online ('Las Vegas, NV + Online'). Speakers: full schedule list (tutorials, keynotes, concurrent sessions) as of the June 13, 2024 snapshot; tutorial listings show no company, so tutorial affiliations are filled from the same speaker's other sessions at this edition where available. Pre-conference multi-day training classes and Leadership Summit facilitators not recorded. Prices were published only as images of a pricing grid, so none are recorded.

Ticket prices

No ticket prices recorded

Sponsors 10

Title / headline 1

Gold 7

Community 2

Speakers and talks 37

SpeakerCompanyRoleTalkLinks
Dionny SantiagoIndeedKeynoteAI: A Moderated Panel Discussion—
Dona SarkarMicrosoftKeynoteI Got 99 Problems, but AI Ain't One—
Hien LuuDoorDashKeynoteAI/ML Adoption Strategies for Enterprises—
Jeff CarolloAppleKeynoteAdventures in AI—
Matthew GunterGitHubKeynoteRealizing the Potential of AI Tools for Software Development—
Nevra LedwonDecisionBrainKeynoteThe Unseen Engine of AI: How 5 Innovation-Minded Companies Optimized for Operational Efficiency—
Rob NicolettiHALO StrategiesKeynoteEmbrace AI Holistically and Unlock Your Growth Potential—
Sudeep KeshS&P Global RatingsKeynoteOperationalizing Disruptive Technologies—A Fresh Take On Developing Your Business Model—
Tariq KingTest IOKeynoteHumanizing AI—
Carlos KidmanQualitiSpeakerTips for Building LLM Apps—
Dionny SantiagoIndeedTutorialGetting Started with AI and Machine Learning—
Dmitriy GumeniukEPAMSpeakerThe Rise of the Virtual QA Engineer: Harnessing GenAI for a Productivity Boost—A Production Case Study—
Ethan FergusonBOK FinancialSpeakerPostman and AI: Transforming Manual QA to Quality Engineers—
Greg ChaseArize AISpeakerTroubleshooting and Resolving Common LLM Issues In Production—
Jason ArbonCheckie.AITutorialEvaluating and Testing Generative AI: Insights and Strategies—
Jason ArbonCheckie.AITutorialHarnessing Generative AI in Software Testing: A Real-World Guide—
Jason ArbonCheckie.AISpeakerFully Autonomous Software Testing with GenAI—
Jason ArbonCheckie.AISpeakerAI Risk and Safety: Proactive Monitoring for the Future of Humanity and Business—
Jeffery Payne—TutorialMLOps: DevOps for Machine Learning—
Jeffery Payne—TutorialImage Classification using LLMs and Transfer Learning—
Joshua Powers—TutorialGet Your Data Ready for AI/ML—
Kevin PylesO.C. TannerSpeakerGame Over—AI Steals Data, Is Biased, and Produces Deep Fakes—
Lizzie SiegleCloudflareSpeakerExploit Grandma: Prompt Better with Cloudflare AI—
Matt ElandLeading EDJETutorialBeginning Data Analysis and Machine Learning with Jupyter Notebooks—
Matt ElandLeading EDJESpeakerMad Data Science: Using AI to Build Ridiculous Things—
Matt PayneWidth.aiTutorialA Full Technical Breakdown of Data Generation with AI Models—
Matt PayneWidth.aiSpeakerProduction Level Prompting & Techniques for LLMs—
Phil LaFrance—TutorialSupercharge Your Workflow: To GitHub and Beyond—
Prerak GargMicrosoftSpeakerAI Agents: Orchestrating the Future of Digital Workflows—
Randy HesseKeysightSpeakerHow Gen AI and Prompt Engineering Turns Testers into Superheroes!—
Rizel ScarlettTBDSpeakerHow NOT to Use GitHub Copilot: The Time Traveler's Playbook for Coding with AI—
Rolf MistelbacherFresh van RootSpeakerPrototype at the Speed of Thought: How AI is Changing the Game for Creators—
Scott Peterson—TutorialResponsible AI: Building Smarter, Ethically Empowered Tech—
Tariq KingTest IOTutorialLeveraging Generative AI for Software Productivity—
Tariq KingTest IOTutorialA Quality Engineering Introduction to AI and Machine Learning—
Tariq KingTest IOTutorialPrompt Engineering for Software Practitioners—
Tom StiehmCoverosSpeakerPrompt Engineering for Mere Mortals—

Sources