In March 2023, we had the pleasure of hosting the first edition of the Future of Data and AI conference – an incredible tech extravaganza that drew over 10,000 attendees, featured 30+ industry experts as speakers, and offered 20 engaging panels and tutorials led by the talented team at Data Science Dojo.
Our virtual conference spanned two days and provided an extensive range of high-level learning and training opportunities. Attendees had access to a diverse selection of activities such as panel discussions, AMA (Ask Me Anything) sessions, workshops, and tutorials.
Future of Data and AI conference featured several of the most current and pertinent topics within the realm of AI & data science, such as generative AI, vector similarity, and semantic search, federated machine learning, storytelling with data, reproducible data science workflows, natural language processing, machine learning ops, as well as tutorials on Python, SQL, and Docker.
In case you were unable to attend the Future of Data and AI conference, we’ve compiled a list of all the tutorials and panel discussions for you to peruse and discover the innovative advancements presented at the Future of Data & AI conference.
On Day 1 of the Future of Data and AI conference, the agenda centered around engaging in panel discussions. Experts from the field gathered to discuss and deliberate on various topics related to data and AI, sharing their insights with the attendees.
1. Data Storytelling in Action:
This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.
This panel discussion will give an overview of the BevelCloud’s decentralized, in-the-building, edge cloud service, and its application to pediatric medicine.
3. Navigating the MLOps Landscape:
This panel is a must-watch for anyone looking to advance their understanding of MLOps and gain practical ideas for their projects. In this panel, we will discuss how MLOps can help overcome challenges in operationalizing machine learning models, such as version control, deployment, and monitoring. Additionally, how ML Ops is particularly helpful for large-scale systems like ad auctions, where high data volume and velocity can pose unique challenges.
4. AMA – Begin a Career in Data Science:
In this AMA session, we will cover the essentials of starting a career in data science. We will discuss the key skills, resources, and strategies needed to break into data science and give advice on how to stand out from the competition. We will also cover the most common mistakes made when starting out in data science and how to avoid them. Finally, we will discuss potential job opportunities, the best ways to apply for them, and what to expect during the interview process.
Want to get started with your career in data science? Check out our award-winning Data Science Bootcamp that can navigate your way.
5. Vector Similarity Search:
With this panel discussion learn how you can incorporate vector search into your own applications to harness deep learning insights at scale.
6. Generative AI:
This discussion is an in-depth exploration of the topic of Generative AI, delving into the latest advancements and trends in the industry. The panelists explore the ways in which generative AI is being used to drive innovation and efficiency in these areas and discuss the potential implications of these technologies on the workforce and the economy.
Day 2 of the Future of Data and AI conference focused on providing tutorials on several trending technology topics, along with our distinguished speakers sharing their valuable insights.
1. Building Enterprise-Grade Q&A Chatbots with Azure OpenAI:
In this tutorial, we explore the features of Azure OpenAI and demonstrate how to further improve the platform by fine-tuning some of its models. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale.
2. Introduction to Python for Data Science:
This lecture introduces the tools and libraries used in Python for data science and engineering. It covers basic concepts such as data processing, feature engineering, data visualization, modeling, and model evaluation. With this lecture, participants will better understand end-to-end data science and engineering with a real-world case study.
3. Reproducible Data Science Workflows Using Docker:
Watch this session to learn how Docker can help you achieve that and more! Learn the basics of Docker, including creating and running containers, working with images, automating image building using Dockerfile, and managing containers on your local machine and in production.
4. Distributed System Design for Data Engineering:
This talk will provide an overview of distributed system design principles and their applications in data engineering. We will discuss the challenges and considerations that come with building and maintaining large-scale data systems and how to overcome these challenges by using distributed system design.
5. Delighting South Asian Fashion Customers:
In this talk, our presenter will discuss how his company is utilizing AI to enhance the fashion consumer experience for millions of users and businesses. He will demonstrate how LAAM is using AI to improve product understanding and tagging for the catalog, creating personalized feeds, optimizing search results, utilizing generative AI to develop new designs, and predicting production and inventory needs.
6. Unlock the Power of Embeddings with Vector Search:
This talk will include a high-level overview of embeddings and discuss best practices around embedding generation and usage, build two systems; semantic text search and reverse image search, and see how we can put our application into production using Milvus – the world’s most popular open-source vector database.
7. Deep Learning with KNIME:
This tutorial will provide theoretical and practical introductions to three deep learning topics using the KNIME Analytics Platform’s Keras Integration; first, how to configure and train an LSTM network for language generation; we’ll have some fun with this and generate fresh rap songs! Second, how to use GANs to generate artificial images, and third, how to use Neural Styling to upgrade your headshot or profile picture!
8. Large Language Models for Real-world Applications:
This talk provides a gentle and highly visual overview of some of the main intuitions and real-world applications of large language models. It assumes no prior knowledge of language processing and aims to bring viewers up to date with the fundamental intuitions and applications of large language models.
9. Building a Semantic Search Engine on Hugging Face:
Perfect for data scientists, engineers, and developers, this tutorial will cover natural language processing techniques and how to implement a search algorithm that understands user intent.
10. Getting Started with SQL Programming:
Are you starting your journey in data science? Then you’re probably already familiar with SQL, Python, and R for data analysis and machine learning. However, in real-world data science jobs, data is typically stored in a database and accessed through either a business intelligence tool or SQL. If you’re new to SQL, this beginner-friendly tutorial is for you!
As we wrap up our coverage of the Future of Data and AI conference, we’re delighted to share the resounding praise it has received. Esteemed speakers and attendees alike have expressed their enthusiasm for the valuable insights and remarkable networking opportunities provided by the conference.
The Future of Data and AI conference by Data Science Dojo was a resounding success, featuring over 28 industry experts and offering a diverse range of expert-level knowledge and training opportunities. The two-day virtual conference consisted of panel discussions, Ask Me Anything (AMA) sessions, workshops, and tutorials, making it an excellent platform for learning and networking with fellow data scientists.
There is no denying that virtual conferences have become the new normal in the world of data science and AI, thanks to the pandemic’s impact. However, it has also opened up new possibilities for connecting and engaging with people from around the world who may not have been able to attend in-person events.
The Future of Data and AI conference by Data Science Dojo is a prime example of how virtual conferences can provide an immersive experience, with opportunities for learning, networking, and knowledge-sharing.
Data dreams come true: 5 reasons why the Future of Data and AI conference was a smashing success!
The conference provided attendees with insights into the latest trends in data science and artificial intelligence, giving them the opportunity to learn from experienced speakers and data scientists. With the next conference scheduled to be held in July, here are some reasons why data scientists and enthusiasts should attend:
1. Learning opportunities:
The Future of Data and AI conference offers a wide range of learning opportunities, including expert-led workshops, tutorials, and panel discussions. Attendees can learn from the best in the industry and gain insights into the latest trends and technologies in data science and AI.
The conference provides an excellent opportunity for attendees to network with fellow data scientists and industry experts from around the world. Attendees can connect with like-minded individuals, share their experiences, and build long-lasting relationships.
3. Experienced speakers:
The conference features experienced speakers and data scientists who have made significant contributions to the field of data science and AI. The speakers come from diverse backgrounds and industries, offering attendees a broad perspective on the subject.
4. Data Science Dojo experts:
Data Science Dojo’s own experts, who have years of experience in the field, will also be speaking at the conference. Attendees can learn from their experiences and ask them questions in the AMA sessions.
5. Virtual conference:
Attendees have the option to attend the conference virtually, depending on their preferences and circumstances.
Insights and innovations galore: Highlights from the conference
The first day featured panel discussions, including a keynote speech by Raja Iqbal, then expert insights on “Data Storytelling in Action,” which highlighted the importance of effectively communicating insights derived from data. The first day also included discussions on topics such as “Automating Data Science Jobs” and “The Role of Ethics in AI”.
The second day of the conference had panel discussions and tutorials on digital ethics, graph analytics, and the chief data officer role. Additionally, the conference included a variety of sessions on emerging trends and technologies in data science and AI, including low-code or no-code platforms that automate data analysis tasks
The upcoming conference is in July and will be more addressed towards developments and the future of various fields around us so more focused on the applications of these very skills which will make the conference a must-attend for all those wanting to pursue a career in data science
The Future of Data and AI conference by Data Science Dojo is an excellent opportunity for data scientists and enthusiasts to learn from experienced speakers and network with like-minded individuals. With a wide range of learning opportunities and experienced speakers from diverse backgrounds and industries, attending the conference can help attendees stay up to date with the latest trends and technologies in data science and AI.
Artificial Intelligence (AI), Machine Learning (ML), and data science have become some of the most significant topics of discussion in today’s technological era. In one of the speakers’ sessions on the ‘Future of Data and AI’, several experts in these fields came together to discuss the latest advancements and how they are using them in their everyday work.
Introduction of panelists
The session starts with Hamza, a research science manager at Google, introducing himself and explaining how he runs a few ML models and helps build models that can predict user abuse. Hamza works in the trust and safety group within search, where they prioritize the protection of users.
The other experts introduce themselves as well. Batool, who has experience working as an AI scientist at Amazon, focused on dialogue machines and natural language understanding.
Meanwhile, Francesca, a Principal Data Scientist manager at Microsoft, leads teams of data scientists and ML scientists, working on internal problems at Microsoft. Raja, the Founder, and Chief Data Scientist at Data Science Dojo has been working in data science before it was even called data science.
Use of Generative AI
The conversation then shifts to the use of generative AI, which has been used in the field of data science and ML for a while. Francesca explains that there are three main categories where generative AI is used every day in her work.
The first is generating natural language, which includes summarization, translation, and question-answering systems. The second is an image and video generation, which has applications in industries like gaming and advertising. The third is generating music, which can be used for composing, arranging, and creating personalized music.
A deeper understanding of the current state of the field
The experts then discuss the latest advancements in these fields. Raja emphasizes the importance of the latest advancements in deep learning, specifically transformers, in NLP tasks. He also mentions the development of large-scale language models like GPT-3, which can perform tasks like translation, summarization, and question-answering.
Matul discusses how chatbots have evolved from rule-based systems to data-driven systems, where they can use data to train and improve their performance. This includes using natural language processing to understand and respond to user queries more effectively.
Francesca highlights the importance of democratizing AI and making it accessible to all people, regardless of their technical background. This involves developing user-friendly tools that can be used by people without technical expertise, which can be used to address common business problems.
Generative AI – The impact of ground-breaking generative AI technologies
Open AI has brought about a major transformation in the field of artificial intelligence (AI), data science, and machine learning. One of the most significant contributions of open AI is its generative AI capabilities that help in generating code, images, and troubleshooting bugs. These capabilities are particularly useful for data scientists who need to deploy and operationalize their machine-learning applications.
Generating code from one programming language to another is one of the three main categories where generative AI applications have been seeing a lot of demand. Another popular application of generative AI is in generating images, especially for use cases such as generating images from text descriptions.
For data scientists like the speaker, who work mostly in the AI, data science, and machine learning space, most of their work is done on the cloud. With open AI, data scientists can now access pre-trained generative AI models and customize them with their data. They can also use built-in tools to detect and mitigate any biases or unfair dynamics that may exist in their applications.
Open AI has made accessing these tools easier through the open AI studio, where one can build AI models and deploy them faster. The speaker has found this to be a privileged situation and has been using generative AI for various communication purposes such as spot-checking, rephrasing, and creating snippets for social media posts.
Human intelligence in conjunction with AI
While AI has brought about a significant change in the field of content creation, the speaker warns against relying solely on AI. Human intelligence should be used in conjunction with AI to create the best results. AI is just another tool that should be used with caution, as a few wrong jumps can take you in the wrong direction.
The other speakers in the panel discussion also shared their experiences with generative AI. One of them is writing a book that covers popular machine learning algorithms using fiction. While, until a few years back, his biggest concern was hiring graphic designers and concept artists, now, with generative AI, he can create his book’s graphics on his own.
Generative AI’s impact on creative work
Generative AI is impacting creative work and work in general in many ways. In creative industries, such as marketing, graphic design, animation, and content creation, generative AI is a valuable tool that allows for faster and more efficient production of high-quality content. It can also democratize access to expensive resources like models for photo shoots, making them more accessible to smaller designers.
In other industries, such as manufacturing, healthcare, and energy, generative AI can also be used to improve efficiency and productivity. For example, it can be used to design new products, optimize manufacturing processes, and analyze medical images.
Overall, generative AI has the potential to impact work across many different industries, and its adoption is likely to continue to grow as more businesses discover its benefits. While it may not eliminate jobs, it will likely change the nature of work in many industries, requiring workers to learn new skills to work effectively with these tools.
Francesca, emphasizes the importance of considering the ethical implications of working with AI systems, not just generative AI. She has a checklist of principles that she follows, such as fairness, reliability, safety, privacy and security, inclusiveness, accountability, and transparency, which are industry standards developed by tech companies. While principles are essential to keep in mind, Francesco also suggests that tools such as interpretML and fair AI can be leveraged to understand the impact of data on predictions and results better.
OpenAI and generative AI have many benefits, such as improving content quality, variety, and personalization. However, to ensure these benefits follow ethical principles, the model life cycle, which starts with data collection, pre-processing, model building, and tuning model parameters and ends with prediction and interpretation, must involve humans in all stages.
Generative AI in healthcare and energy
AI in healthcare
There are many exciting ways that generative AI is being used to tackle important problems in the fields of healthcare and energy. One area where generative AI is being used in healthcare is in the creation of medical images such as X-rays and MRIs. With the help of generative AI, researchers can generate high-quality medical images that can help in the diagnosis and treatment of various medical conditions.
It is also being used to develop new drugs and treatments. With the help of deep learning algorithms, researchers can analyze large amounts of medical data to identify new drug candidates and develop personalized treatment plans for patients.
In the field of energy, generative AI is being used to optimize energy systems and reduce energy consumption. For example, AI models can be trained to predict energy usage patterns and adjust energy supply, accordingly, reducing waste and increasing efficiency.
Another area where generative AI is being used is in the creation of virtual environments for training purposes. With the help of generative AI, researchers can create realistic virtual environments that can be used to train individuals in various fields such as medicine, engineering, and military training. This can help to reduce the risk of accidents and injuries during training and improve overall safety.
Generative AI and government regulations
Overall, the role of the government in regulating the use of generative AI to create content is a highly debated topic. Some believe that the government should intervene to prevent monopolies from happening and to fund open-source projects to democratize data. Others argue that too much regulation could stifle innovation and competition.
It is essential to strike a balance between promoting innovation and protecting consumers’ interests. Legislation and regulations could be created to define what constitutes fair use and set standards for the ethical use of AI, such as the AI bill of rights. Ultimately, governments will act following the general culture and society’s values in their region, making laws that align with what is considered acceptable.
Closing of the session – Generative AI
In conclusion, AI, ML, and data science have become vital to our daily lives, with advancements in these fields impacting various industries. With the continuous development of new technology, it is essential to keep up to date with the latest trends and advancements to stay competitive in the industry. The experts in the session provided valuable insights into the latest advancements and how they are using them in their everyday work. As these fields continue to evolve, it will be exciting to see what new advancements will come next.
Data analytics is the driving force behind innovation, and staying ahead of the curve has never been more critical. That is why we have scoured the landscape to bring you the crème de la crème of data analytics conferences in 2023.
Data analytics conferences provide an essential platform for professionals and enthusiasts to stay current on the latest developments and trends in the field. By attending these conferences, attendees can gain new insights, and enhance their skills in data analytics.
These events bring together experts, practitioners, and thought leaders from various industries and backgrounds to share their experiences and best practices. Such conferences also provide an opportunity to network with peers and make new connections.
Data analytics conferences to look forward to
In 2023, there will be several conferences dedicated to this field, where experts from around the world will come together to share their knowledge and insights. In this blog, we will dive into the top data analytics conferences of 2023 that data professionals and enthusiasts should add to their calendars.
Strata Data Conference
The Strata Data Conference is one of the largest and most comprehensive data conferences in the world. It is organized by O’Reilly Media and will take place in San Francisco, CA in 2023. It is a leading event in data analytics and technology, focusing on data and AI to drive business value and innovation. The conference brings together professionals from various industries, including finance, healthcare, retail, and technology, to discuss the latest trends, challenges, and solutions in the field of data analytics.
This conference will bring together some of the leading data scientists, engineers, and executives from across the world to discuss the latest trends, technologies, and challenges in data analytics. The conference will cover a wide range of topics, including artificial intelligence, machine learning, big data, cloud computing, and more.
Big Data & Analytics Innovation Summit
The Big Data & Analytics Innovation Summit is a premier conference that brings together experts from various industries to discuss the latest trends, challenges, and solutions in data analytics. The conference will take place in London, England in 2023 and will feature keynotes, panel discussions, and hands-on workshops focused on topics such as machine learning, artificial intelligence, data management, and more.
Attendees can attend keynote speeches, technical sessions, and interactive workshops, where they can learn about the latest technologies and techniques for collecting, processing, and analyzing big data to drive business outcomes and make informed decisions. The connection between the Big Data & Analytics Innovation Summit and data analytics lies in its focus on the importance of big data and the impact it has on businesses and industries.
Predictive Analytics World
Predictive Analytics World is among the leading data analytics conferences that focus specifically on the applications of predictive analytics. It will take place in Las Vegas, NV in 2023. Attendees will learn about the latest trends, technologies, and solutions in predictive analytics and gain valuable insights into this field’s future.
At PAW, attendees can learn about the latest advances in predictive analytics, including techniques for data collection, data preprocessing, model selection, and model evaluation. For the unversed, Predictive analytics is a branch of data analytics that uses historical data, statistical algorithms, and machine learning techniques to make predictions about future events.
AI World Conference & Expo
The AI World Conference & Expo is a leading conference focused on artificial intelligence and its applications in various industries. The conference will take place in Boston, MA in 2023 and will feature keynote speeches, panel discussions, and hands-on workshops from leading AI experts, business leaders, and data scientists. Attendees will learn about the latest trends, technologies, and solutions in AI and gain valuable insights into this field’s future.
The connection between the AI World Conference & Expo and data analytics lies in its focus on the importance of AI and data in driving business value and innovation. It highlights the significance of AI and data in enhancing business value and innovation. The event offers attendees an opportunity to learn from leading experts in the field, connect with other professionals, and stay informed about the most recent developments in AI and data analytics.
Data Science Summit
Last on the data analytics conference list we have the Data Science Summit. It is a premier conference focused on data science applications in various industries. The meeting will take place in San Diego, CA in 2023 and feature keynote speeches, panel discussions, and hands-on workshops from leading data scientists, business leaders, and industry experts. Attendees will learn about the latest trends, technologies, and solutions in data science and gain valuable insights into this field’s future.
Special mention – Future of Data and AI
Hosted by Data Science Dojo, Future of Data and AI is an unparalleled opportunity to connect with top industry leaders and stay at the forefront of the latest advancements. Featuring 20+ industry experts, the two-day virtual conference offers a diverse range of expert-level knowledge and training opportunities.
Don’t worry if you missed out on the Future of Data and AI Conference! You can still catch all the amazing insights and knowledge from industry experts by watching the conference on YouTube.
In conclusion, the world of data analytics is constantly evolving, and it is crucial for professionals to stay updated on the latest trends and developments in the field. Attending conferences is one of the most effective ways to stay ahead of the game and enhance your knowledge and skills.
The 2023 data analytics conferences listed in this blog are some of the most highly regarded events in the industry, bringing together experts and practitioners from all over the world. Whether you are a seasoned data analyst, a new entrant in the field, or simply looking to expand your network, these conferences offer a wealth of opportunities to learn, network, and grow.
So, start planning and get ready to attend one of these top conferences in 2023 to stay ahead of the curve.
The Future of Data and AI conference is an exciting event that you simply cannot afford to miss. It offers unique opportunities for both data science experts and enthusiasts to explore the latest trends in the world of data and AI.
Whether you’re a seasoned professional or a newcomer to the field, this online conference has something for everyone.
Here are just a few of the incentives and benefits that you can expect to enjoy when you attend the Future of Data and AI conference:
1. Boot Camp worth $4000 by Data Science Dojo
Data Science Dojo is offering an amazing boot camp worth $4000 to attendees of the Future of Data and AI conference. This Data Science boot camp is an intensive five-day program that provides hands-on training in data science, machine learning, and predictive analytics. Participants will learn how to build and deploy predictive models using Python, R, and other tools.
2. One-month free trials for winners with our media partners
Another great incentive for attending the Future of Data and AI conference is the chance to win one-month free trials with our media partners. These trials will give you access to some of the top data science tools and platforms in the industry, allowing you to explore new technologies and stay ahead of the curve.
3. Free training sessions for a week
The Future of Data and AI conference also offers free training sessions for a week to its attendees. These sessions cover a wide range of topics related to data science and AI, including data visualization, deep learning, and natural language processing. You’ll have the opportunity to learn from some of the top experts in the field and gain valuable insights that you can apply to your own work.
4. One-on-one counseling with a data scientist – mentorship
One of the most valuable benefits of attending the Future of Data and AI conference is the opportunity to receive one-on-one counseling with a data scientist. This mentorship program allows you to work closely with an experienced professional who can offer guidance and advice on a wide range of topics, from career development to technical issues.
5. Free LinkedIn premium for top 5 participants
For the top 5 participants of the Future of Data and AI conference, there’s an extra incentive – free LinkedIn Premium. This premium membership provides access to a range of tools and resources that can help you grow your career and expand your network.
6. E-gift cards and home office kits
Finally, attendees of the Future of Data and AI conference will have the chance to win e-gift cards and home office kits. These prizes are a great way to reward participants for their engagement and participation, and they can help to make the conference experience even more enjoyable.
Hurry up and register TODAY!
In conclusion, the Future of Data and AI conference is an unmissable event for anyone who is interested in data science and AI.
With a range of incentives and benefits on offer, including the amazing boot camp from Data Science Dojo, free trials from our media partners, and one-on-one counseling with a data scientist, this conference is the perfect opportunity to learn new skills, network with industry professionals, and stay up-to-date with the latest trends in the field.
In this blog, we will share the list of leading data science conferences across the world to be held in 2023. This will help you to learn and grow your career in data science, AI, and machine learning.
1. Future of Data & AI | Online conference (FREE)
The Future of Data and AI conference hosted by Data Science Dojo is an upcoming event aimed at exploring the advancements and innovations in the field of artificial intelligence and data. The conference is scheduled on March 1st-2nd, 2023and it is expected to bring together experts from the industry, academia, and government to share their insights and perspectives on the future direction of AI and data technologies.
Attendees can expect to learn about the latest trends and advancements in AI and data, such as machine learning, deep learning, big data, and cloud computing. They will also have the opportunity to hear from leading experts in the field and engage in discussions and debates on the ethical, social, and economic implications of these technologies.
In addition to the keynote speeches and panel discussions, the conference will also feature hands-on workshops and tutorials, where attendees can learn and apply new skills and techniques related to AI and data. The conference is an excellent opportunity for professionals, researchers, students, and anyone interested in the future of AI and data to network, exchange ideas, and build relationships with others in the field.
2. AAAI Conference on Artificial Intelligence – Washington DC, United States
The AAAI Conference on Artificial Intelligence (AAAI) is a leading conference in the field of artificial intelligence research. It is held annually in Washington, DC and attracts researchers, practitioners, and students from around the world to present and discuss their latest work.
The conference features a wide range of topics within AI, including machine learning, natural language processing, computer vision, and robotics, as well as interdisciplinary areas such as AI and law, AI and education, and AI and the arts. It also includes tutorials, workshops, and invited talks by leading experts in the field. The conference is organized by the Association for the Advancement of Artificial Intelligence (AAAI), which is a non-profit organization dedicated to advancing AI research and education.
3. Women in Data Science (WiDS) – California, United States
Women in Data Science (WiDS) is an annual conference held at Stanford University, California, United States and other locations worldwide. The conference is focused on the representation, education, and achievements of women in the field of data science. WiDS is designed to inspire and educate data scientists worldwide, regardless of gender, and support women in the field.
The conference is a one-day technical conference that provides an opportunity to hear about the latest data science related research, and applications in various industries, as well as to network with other professionals in the field.
The conference features keynote speakers, panel discussions, and technical presentations from prominent women in the field of data science. WiDS aims to promote gender diversity in the tech industry, and to support the career development of women in data science.
4. Gartner Data and Analytics Summit – Florida, United States
The Gartner Data and Analytics Summit is an annual conference that is held in Florida, United States. The conference is organized by Gartner, a leading research and advisory company, and is focused on the latest trends, strategies, and technologies in data and analytics.
The conference brings together business leaders, data analysts, and technology professionals to discuss the latest trends and innovations in data and analytics, and how they can be applied to drive business success.
The conference features keynote presentations, panel discussions, and breakout sessions on topics such as big data, data governance, data visualization, artificial intelligence, and machine learning. Attendees also have the opportunity to meet with leading vendors and solutions providers in the data and analytics space, and network with peers in the industry.
The Gartner Data and Analytics Summit is considered as a leading event for professionals in the data and analytics field.
5. ODSC East – Boston, United States
ODSC East is a conference on open-source data science and machine learning held annually in Boston, United States. The conference features keynote speeches, tutorials, and training sessions by leading experts in the field, as well as networking opportunities for attendees.
The conference covers a wide range of topics in data science, including machine learning, deep learning, big data, data visualization, and more. It is designed for data scientists, developers, researchers, and practitioners looking to stay up-to-date on the latest advancements in the field and learn new skills.
6. AI and Big Data Expo North America – California, United States
AI and Big Data Expo North America is a technology event that focuses on artificial intelligence (AI) and big data. The conference takes place annually in Santa Clara, California, United States. The event is for enterprise technology professionals seeking to explore the latest innovations, implementations, and strategies in AI and big data.
The event features keynote speeches, panel discussions, and networking opportunities for attendees to connect with leading experts and industry professionals. The conference covers a wide range of topics, including machine learning, deep learning, big data, data visualization, and more.
7. The Data Science Conference – Chicago, United States
The Data Science Conference is an annual data science conference held in Chicago, United States. The conference focuses on providing a space for analytics professionals to network and learn from one another without being prospected by vendors, sponsors, or recruiters.
The conference is by professionals for professionals and the material presented is substantial and relevant to the data science practitioner. It is the only sponsor-free, vendor-free, and recruiter-free data science conference℠. The conference covers a wide range of topics in data science, including artificial intelligence, machine learning, predictive modeling, data mining, data analytics and more.
8. Machine Learning Week – Las Vegas, United States
Machine Learning Week is a large conference that focuses on the commercial deployment of machine learning. It is set to take place in Las Vegas, United States, with the venue being the Red Rock Casino Resort Spa. The conference will have seven tracks of sessions, with six co-located conferences that attendees can register to attend: PAW Business, PAW Financial, PAW Healthcare, PAW Industry 4.0, PAW Climate and Deep Learning World.
9. International Conference on Mass Data Analysis of Images and Signals – New York, United States
The conference is not limited to these specific topics and welcomes research from other related fields as well. The conference has been held on a yearly basis
10. International Conference on Data Mining (ICDM) – New York, United States
The International Conference on Data Mining (ICDM) is an annual conference held in New York, United States that focuses on the latest research and developments in the field of data mining. The conference brings together researchers and practitioners from academia, industry, and government to present and discuss their latest research findings, ideas, and applications in data mining. The conference covers a wide range of topics, including machine learning, data mining, big data, data visualization, and more.
11. International Conference on Machine Learning and Data Mining (MLDM) – New York, United States
International Conference on Machine Learning and Data Mining (MLDM) is an annual conference held in New York, United States. The conference focuses on the latest research and developments in the field of machine learning and data mining. The conference brings together researchers and practitioners from academia, industry, and government to present and discuss their latest research findings, ideas, and applications in machine learning and data mining.
The conference covers a wide range of topics, including machine learning, data mining, big data, data visualization, and more. The conference is considered a premier forum for researchers and practitioners to share their latest research, ideas and development in machine learning and data mining and related areas.
12. AI in Healthcare Summit – Boston, United States
AI in Healthcare Summit is an annual event that takes place in Boston, United States. The summit focuses on showcasing the opportunities of advancing methods in AI and machine learning (ML) and their impact across healthcare and medicine.
The event features a global line-up of experts who will present the latest ML tools and techniques that are set to revolutionize healthcare applications, medicine and diagnostics. Attendees will have the opportunity to discover the AI methods and tools that are set to revolutionize healthcare, medicine and diagnostics, as well as industry applications and key insights.
13. Big Data and Analytics Summit – Ontario, Canada
The Big Data and Analytics Summit is an annual conference held in Ontario, Canada. The conference focuses on connecting analytics leaders to the latest innovations in big data and analytics as the world adapts to new business realities after the global pandemic. Businesses need to innovate in products, sales, marketing and operations and big data is now more critical than ever to make this happen and help organizations thrive in the future. The conference features leading industry experts who will discuss the latest trends exploding across the big data landscape, including security, architecture and transformation, cloud migration, governance, storage, AI and ML and so much more.
14. Deep Learning Summit – Montreal, Canada
The Deep Learning Summit is an annual conference held in Montreal, Canada. The conference focuses on providing attendees access to multiple stages to optimize cross-industry learnings and collaboration.
Attendees can solve shared problems with like-minded attendees during round table discussions, Q&A sessions with speakers or schedule 1:1 meeting. The conference also provides an opportunity for attendees to connect with other attendees during and after the summit and build new collaborations through interactive networking sessions.
15. Enterprise AI Summit – Montreal, Canada
The Enterprise AI Summit is an annual conference that takes place in Montreal, Canada. The conference is organized by RE-WORK LTD, and it is scheduled for November 1-2, 2023. The conference will feature the Deep Learning Summit and Enterprise AI Summit as part of the Montreal AI Summit.
The conference is an opportunity for attendees to learn about the latest advancements in AI and Machine Learning and how it can be applied in the enterprise. The conference is a 2-day event that features leading industry experts who will share their insights and experiences on AI and ML in the enterprise
16. Extraction and Knowledge Management Conference (EGC) – Lyon, France
The Extraction and Knowledge Management Conference (EGC) is an annual event that brings together researchers and practitioners from various disciplines related to data science and knowledge management. The conference will be held on the Berges du Rhône campus of the Université Lumière Lyon 2, from January 16 to 20, 2023. The conference provides a forum for researchers, students, and professionals to present their research results and exchange ideas and discuss future challenges in knowledge extraction and management.
17. Women in AI and Data Reception – London, United Kingdom
The Women in AI and Data Reception is an event organized by RE•WORK in London, United Kingdom that takes place on January 24th, 2023. The conference aims to bring together leading female experts in the field of artificial intelligence and machine learning to discuss the impact of this rapidly advancing technology on various sectors such as finance, retail, manufacturing, transport, healthcare and security. Attendees will have the opportunity to hear from these experts, establish new connections and network with peers
18. Chief Data and Analytics Officers (CDAO) – London, United Kingdom
The Chief Data and Analytics Officers (CDAO) conference is an annual event organized by Corinium Global Intelligence, which brings together senior leaders from the data and analytics space. The conference is focused on the acceleration of the adoption of data, analytics and AI in order to generate decision advantages across various industries.
The conference will take place on September 13-14, 2023, in Washington D.C. and will include sessions on latest trends, strategies, and best practices for data and analytics, as well as networking opportunities for attendees.
19. International Conference on Pattern Recognition Applications and Methods (ICPRAM) – Lisbon, Portugal
Registration to ICPRAM also allows free access to the ICAART conference as a non-speaker. It is a annual event where researchers can exchange ideas and discuss future challenges in pattern recognition and machine learning
20. AI in Finance Summit – London, United Kingdom
The AI in Finance Summit, taking place in London, United Kingdom, is an event that brings together leaders in the financial industry to discuss the latest advancements and innovations in artificial intelligence and its applications in finance. Attendees will have the opportunity to hear from experts in the field, network with peers, and learn about the latest trends and technologies in AI and finance. The summit will cover topics such as investment, risk management, fraud detection, and more
21. The Martech Summit – Hong Kong
The Martech Summit is an event that brings together the best minds in marketing technology from a range of industries through a number of diverse formats and engaging events. The conference aims to bring together people in senior leadership roles, such as C-suites, Heads, and Directors, to learn and network with industry experts.
The MarTech Summit series includes various formats such as The MarTech Summit, The Virtual MarTech Summit, Virtual MarTech Spotlight, and The MarTech Roundtable.
22. AI and Big Data Expo Europe – Amsterdam, Netherlands
The AI and Big Data Expo Europe is an event that takes place in Amsterdam, Netherlands. The event is scheduled to take place on September 26-27, 2023, at the RAI, Amsterdam. It is organized by Encore Media.
The event will explore the latest innovations within AI and Big Data in 2023 and beyond and covers the impact AI and Big Data technologies have on many industries including manufacturing, transport, supply chain, government, legal and more. The conference will also showcase next generation technologies and strategies from the world of Artificial Intelligence.
23. International Symposium on Artificial Intelligence and Robotics (ISAIR) – Beijing, China
The International Symposium on Artificial Intelligence and Robotics (ISAIR) is a platform for young researchers to share up-to-date scientific achievements in the field of Artificial Intelligence and Robotics. The conference is organized by the International Society for Artificial Intelligence and Robotics (ISAIR), IEEE Big Data TC, and SPIE. It aims to provide a comprehensive conference focused on the latest research in Artificial Intelligence, Robotics and Automation in Space.
24. The Martech Summit – Jakarta, Indonesia
The Martech Summit – Jakarta, Indonesia is a conference organized by BEETC Ltd that brings together the best minds in marketing technology from a range of industries through a number of diverse formats and engaging events. The conference aims to provide a platform for attendees to learn about the latest trends and innovations in marketing technology, with an agenda that includes panel discussions, keynote presentations, fireside chats, and more.
25. Web Search and Data Mining (WSDM) – Singapore
The 16th ACM International WSDM Conference will be held in Singapore on February 27 to March 3, 2023. The conference is a highly selective event that includes invited talks and refereed full papers. The conference focuses on publishing original and high-quality papers related to search and data mining on the Web. The conference is organized by the WSDM conference series and is a platform for researchers to share their latest scientific achievements in this field.
26. Machine Learning Developers Summit – Bangalore, India
The Machine Learning Developers Summit (MLDS) is a 2-day conference that focuses on machine learning innovation. Attendees will have direct access to top innovators from leading tech companies who will share their knowledge on the software architecture of ML systems, how to produce and deploy the latest ML frameworks, and solutions for business use cases. The conference is an opportunity for attendees to learn how machine learning can add potential to their business and gain best practices from cutting-edge presentations
CISO Malaysia 2023 is a conference designed for Chief Information Security Officers (CISOs), Chief Security Officers (CSOs), Directors, Heads, Managers of Cyber and Information Security, and cybersecurity practitioners from across sectors in Malaysia. The conference will be held on February 14, 2023, in Kuala Lumpur, Malaysia. It aims to provide a platform for attendees to get inspired, make new contacts and learn how to uplift their organization’s security program to meet the requirements set by the government and citizens.
Which data science conferences would you like to participate in?
In conclusion, data science and AI conferences are an invaluable opportunity to stay up to date with the latest developments in the field, network with industry leaders and experts, and gain valuable insights and knowledge. These are some of the top conferences in the field and offer a wide range of topics and perspectives. Whether you are a researcher, practitioner, or student, these conferences are a valuable opportunity to further your understanding of data science and AI and advance your career.
Additionally, there are many other conferences out there that might be specific to a certain industry or region, it’s important to research and find the one that fits your interest and needs. Attending these conferences is a great way to stay ahead of the curve and make meaningful connections within the data science and AI community.
Data Science Dojo strongly believes in learning and growing together as a community, for that reason last year we conducted several community events for you all. Although all the events were helpful in their way, there are top 10 events that received the highest number of sign-ups, are: