Table of Contents

  • Focus on AI and Machine Learning: This summit specifically targets the rapidly growing fields of artificial intelligence (AI) and machine learning (ML), which are integral to the future of data analysis and processing. Data professionals can gain insights into the latest advancements and applications in these areas.

  • Networking with AI and ML Experts: Such specialized summits attract experts and thought leaders in AI and ML. Networking with these individuals can provide valuable insights, mentorship opportunities, and potential collaborations.

  • Real-World Applications and Case Studies: The summit will probably showcase real-world applications and case studies of AI and ML in various industries. Understanding these practical implementations can help data professionals apply similar strategies in their own work environments.

  • Exploring Ethical and Societal Implications: AI and ML raise important ethical and societal questions. The summit may offer discussions on these topics, helping professionals understand and navigate the complex ethical landscape of AI and ML.

  • Interdisciplinary Learning: AI and ML are interdisciplinary fields. The summit may offer insights into how these technologies intersect with other areas like big data, analytics, cloud computing, and more, providing a more holistic understanding of the data science landscape.

Machine learning (ML) is the area of artificial intelligence (AI) that focuses on how algorithms "learn" and build on previous knowledge. This emerging technology is already a big part of modern data life, such as the automation of various tasks and voice-activated technologies.

ML is closely linked to big data, computer vision, data mining, data analytics, and various other aspects of data management. That’s why machine learning events are a hot destination for data scientists, academia, IT professionals, and even business leaders who want to explore how ML can help their companies — from startups to huge enterprises — grow and adapt.

Below we list 5 of the most anticipated machine learning conferences of 2024 and why you may want to attend.

  1. Beyond Big Data: AI/Machine Learning Summit
  2. Data Science Salon ATX
  3. Tecton’s Apply ()
  4. Machine Learning Week Phoenix
  5. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024)
  6. International Conference on Maching Learning

1. Beyond Big Data: AI/Machine Learning Summit

Date: February 2, 2024

Location: Pittsburgh, PA, United States

Pricing: PTC Member | $199/$225 after January 12, 2024 | $230 Late/On-site. Non-Member | $325/$349 after January 12, 2023 | $355 late/On-site.

Beyond Big Data will explore the latest trends and best practices in data analysis, AI, and machine learning and is presented by the Pittsburgh Technology Council and CGI. 

Conference Details:

2. Data Science Salon ATX

Date: February 21, 2024

Location: Austin, Texas and Virtual

Pricing: Early Bird Pricing $495, General Admission: $695

Data Science Salon will present ‘Using Generative AI & Machine Learning In the Enterprise’. It will be an intimate one-day conference capped at 500 attendees that will bring enterprise industry leaders and specialists together to educate each other on innovative generative AI and machine learning solutions. 

Conference Details: 

  • Interactive Discussions and Workshops: The salon format often encourages more interactive and intimate discussions, as well as hands-on workshops. This can be more conducive to in-depth learning and understanding, especially in complex areas like generative AI.

  • Exploring Ethical and Regulatory Aspects: With the growing use of AI and ML in enterprises, ethical and regulatory considerations are increasingly important. The salon may offer discussions on these topics, helping professionals navigate these complex issues.

  • Specialized Focus on Generative AI and ML in Enterprise: This event specifically targets the use of generative AI and machine learning within enterprise settings. It's an excellent opportunity for professionals to deepen their understanding of how these technologies can be leveraged in large-scale business environments.

  • Inspiration for Innovation: Being surrounded by experts and innovators in the field can inspire new ideas and approaches, encouraging professionals to think creatively in their own projects and strategies.

  • Relevant Panel Topics: Conference topics include ‘Increasing Customer Satisfaction In the B2B Space Using ML,’ Agile Data Science Teams,’’Overview of Explainable AI For Natural Language Processing.’

3. Tecton’s apply ()

Dates: March 14, 2024

Location: Virtual

Pricing: Not Yet Announced

Tecton’s apply () 2024 conference is being designed for data and Machine Learning teams to give them an opportunity to network and discuss challenges faced while building ML applications in the real world.

Conference Details: 

  • Convenience of a Virtual Format: Being a virtual event, it offers the convenience of attending from anywhere in the world, saving time and costs associated with travel. This format also makes it more accessible to a wider audience.

  • Showcasing Cutting-Edge Technologies: Tecton, being a leader in machine learning technology, is likely to showcase the latest advancements and tools in ML operations and data management. This exposure is crucial for professionals keen on staying updated with state-of-the-art technologies.

  • Diverse Range of Topics: 'apply()' conferences cover a wide range of topics relevant to machine learning and data science, from ML model development to deployment and management. This diversity offers something valuable for professionals at all levels of expertise.

  • Professional Development: For professionals looking to advance their careers, attending this conference can add to their knowledge base and skill set, making them more competitive in the job market.

  • Prestigious Speakers: 2024’s conference speakers have not yet been announced, but past speakers include thought leaders from organizations including Uber, Pinterest, and PepsiCo.

4. Machine Learning Week Phoenix

Dates: June 4-7, 2024

Location: Phoenix, Arizona

Pricing: Super Early Bird Price: $1595 (Ends December 15, 2023), Early Bird Price: $1795 (Ends February 16, 2024), Regular Price: $1995 (ends April 19, 2024) 

Machine Learning Week is a series of workshops and conferences focused on covering today’s commercial deployment of machine learning.

Conference Details:

  • Expert Speakers and Workshops: This event will feature workshops with Eric Siegel, founder of the long-running Machine Learning Week conference series, Clinton Brownley (Data Scientist, WhatsApp), Dr. John Elder (founder of Elder Research), and many more!

  • Comprehensive Coverage of Machine Learning Topics: Machine Learning Week will cover a wide range of topics within the field of ML, from fundamental principles to advanced techniques. The range of topics covered will appeal to a wide range of 

  • Exposure to Real-World Applications: Machine Learning Week often showcases real-world applications and case studies, demonstrating how ML techniques are being applied in various industries. This can provide inspiration and practical insights for professionals looking to apply ML in their own work.

  • Interdisciplinary Learning: Machine learning intersects with various fields like artificial intelligence, data analytics, and big data. Attending Machine Learning Week can provide a broader perspective on how ML fits into the wider data science ecosystem.

  • Location Benefits: Phoenix is a vibrant city with its own tech and startup ecosystem which will offer additional opportunities for attendees to explore local companies, startups, and academic institutions involved in ML.

5. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024)

Dates: September 9-13, 2024

Location: Ghent, Belgium

Pricing: Pricing information is not yet on the website. 

ECML PKDD is a premier European machine learning and data mining conference with a wide range of workshops, tutorials, and an Applied Data Science track. 

Conference Details:

  • Explore All the Latest Research: ECML PKDD is known for presenting all the latest cutting edge research including the newest theories, algorithms and methodologies directly from top data researchers. 

  • Network With Academics: This conference attracts top academics, researchers, and practitioners from the global community. around the world. This provides an amazing opportunity for networking, which can lead to collaborations, knowledge exchange, and potential career advancements.

  • High-Quality Workshops and Tutorials: Attendees can enjoy a variety of workshops and tutorials led by experts in the field, which are great for both learning new skills and deepening existing knowledge. 

  • Interdisciplinary Insights: Machine learning and data mining are interdisciplinary fields. The conference provides insights into how these areas interact with other disciplines, offering a more holistic understanding of data science.

  • Presentation and Publication Opportunities: For data professionals involved in research, the conference offers an opportunity to present their work and get it published in prestigious proceedings, enhancing their professional profile.

  • Prestigious Speakers: 2024’s conference speakers have not yet been announced, but past speakers include thought leaders from organizations including Uber, Pinterest, and PepsiCo.

6. International Conference on Machine Learning

Date: July 22-29, 2024

Location: Vienna, Austria and Virtual

Pricing: Pricing varies depending on student status and the tier of events attended and ranges from $40 for a student virtual pass to $950 for the early bird workshop, conference, and tutorial registration and $1030 for the same events with late registration.

The program committee: Zico Kolter, Katherine Heller, and Adrian Weller announced the official ICML 2024 call for papers in December of 2023 and promise an event that incorporates successful elements from past events as well as many new aspects of programming designed to inspire and educate Machine Learning professionals and students in 2024. 

Conference Details:

  • High-quality Conference Proceedings: ICML publishes its proceedings in a prestigious journal, providing an opportunity to get your work recognized by the broader machine learning community.

  • Large and Diverse Attendee Base: This conference historically attracts thousands of attendees from around the world, offering a unique opportunity to connect with a wide range of professionals.

  • Balance Professional Development With Leisure: Create a memorable experience by combining learning and networking with exploring the city's attractions.

  • Supportive Environment for Early-Career Researchers: Various programs and resources support and encourage young researchers in the field. 

  • Deepen Your Knowledge and Discover Emerging Trends: Stay ahead of the curve by understanding the latest breakthroughs and potential future directions in the field and hear presentations and participate in discussions with leading experts and pioneers in machine learning.

Integrate.io and Machine Learning

Learn more about the basics of machine learning and how it influences data storage and data integration with Integrate.io’s detailed definition in the popular glossary of technical terms. Integrate.io prides itself on providing the right resources for both experienced data managers and those with a less technical background. That way, they can leverage new technologies at the forefront of innovation.

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