Choose Your Data Analytics Conferences 2019 (Worldwide) | OWOX

The new year has come and everything has started up again. It’s time to upgrade our knowledge to keep up with the fast-paced world. The best way to stay abreast of this year’s trends in data analytics is to grab your colleagues and visit at least one of these cool conferences!

This is a shortlist of all conferences to navigate

USA

Canada

Europe

Australia & Asia

USA

Predictive Analytics Innovation Summit

  • Dates: 29–30 April 2019
  • Location: San Diego, California
  • Cost: $1,050–$1,499
  • Speakers: 10+
  • Attendees: 200+

The Predictive Analytics Innovation Summit brings together leaders and innovators to talk about the adoption of AI and machine learning in enterprise, translating data into actionable data analytics, and applying deep learning to business.

This year, topics will include:

  • „Real-time data analysis and ML“ by Subha Tatavarti, Head of Product and Strategy at PayPal
  • „Becoming a data-driven business“ by Samith Gunasekara, Head of Machine Learning and AI Analytx at Boeing
  • „Holistic view of your customers using predictive analytics“ by Zheng Shao, Analytics and Strategy Data Scientist at Facebook

Modern Data Management Summit

  • Dates: 26–27 February 2019
  • Location: San Francisco, California
  • Cost:Free
  • Speakers: 60+
  • Attendees: 400+

„Organize master data. Personalize customer 360.“ That’s the slogan for the Modern Data Management Summit, which will cover the hottest topics in master data management, big data analytics, data science, and business-facing data-driven applications.

This year, topics will include:

  • „Who owns the Customer? Solving the Customer 360 Mystery“ by Ramon Chen, Chief Product Officer at Reltio
  • „Put Your Data to Work!“ by Scott Taylor, The Data Whisperer at MetaMeta Consulting
  • „MDM and CDP? What, Why, and When to use“ by Jamie Yates, Leader of Master Data Management at AstraZeneca; Ajay Khanna, Vice President of Marketing at Reltio; and Maria Perkins, Vice President of Growth Technologies & Proposals at Optum

Enterprise Data World

  • Dates: 17–22 March 2019
  • Location: Boston, Massachusetts
  • Cost: $995–$3,295

The annual Enterprise Data World (EDW) conference is the most comprehensive conference on data management in the world. This year will be its 23rd meeting. The six-day conference, with three days of in-depth tutorials and workshops, 50+ case studies, and 200 hours of educational talks, is expected to attract 1,000+ attendees.

This year, topics will include:

  • „Big Data, Disruption and the 800-Pound Gorilla in the Corner“ by Michael Stonebraker from M.I.T.
  • „Enabling Self-Service with Effective Metadata Management“ by Shanthi Pudota, Head of Enterprise Data Management at Fannie Mae
  • „Bad Guy Hunting: Finding Weak Signals in Big Data“ by Jeff Jonas, Founder, CEO, and Wizard of Big Data at Senzing

Gartner Data and Analytics Summit 2019

  • Dates: 18–21 March 2019
  • Location: Orlando, Florida
  • Cost: $3,050–$3,575

At this data analytics conference, Gartner specialists and invited speakers (50+ in total) will share strategies, guidance, and best practices. Their talks will help you build a better future on agile analytics with reliable data.

This year, topics will include:

  • „The Foundation of Creating Metrics That Matter“ by Kurt Schlegel, Research VP at Gartner Research
  • „The Future of Data and Analytics: How Augmented Analytics Will Transform Your Organization“ by Rita Sallam, Research VP at Gartner Research
  • „How the Internet of Things Will Disrupt Your Data and Analytics Capabilities“ by Ted Friedman, Vice President and Distinguished Analyst at Gartner Research

Open Data Science East Conference

  • Dates: 30 April — 3 May, 2019
  • Location: Boston, Massachusetts
  • Cost: $449–$3,997

55 training sessions, 75 workshops, 250 speakers, 400 hours of content, 7500 attendees. The Open Data Science East Conference (ODSC) has become a must-go event for data scientists and machine learning experts. And this time, it will include two training days!

This year, topics will include:

  • Recommendation systems
  • Natural language processing
  • Transfer learning
  • Machine vision
  • Autonomous machines
  • Conversational AI
  • Data science research
  • Artificial intelligence
  • Speech recognition
  • Unsupervised learning
  • Image classification
  • Self-driving vehicles
  • Machine translation

Data Summit 2019

  • Dates: 21–22 May 2019
  • Location: Boston, Massachusetts
  • Cost: $295–$1,395

Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or in using big data for business intelligence, data analytics, and other business strategies, Data Summit 2019 has something for you! The conference’s speakers are still being determined, but here’s a look at the overall agenda:

This year, topics will include:

  • Monday, May 20:
    Preconference Workshops
  • Tuesday, May 21:
    Main Conference Tracks & Data Solutions Showcase
    Cognitive Computing & AI Summit
    Data Lake Boot Camp
  • Wednesday, May 22:
    Main Conference Tracks & Data Solutions Showcase
    Cognitive Computing & AI Summit
    DataOps Boot Camp

Strata Data Conference

  • Dates and locations:
    25–28 March, 2019 (San Francisco)
    29 April — 2 May, 2019 (London)
  • Cost: TBD

The Strata Data Conference is where business and data converge. Thousands of top data scientists, analysts, engineers, and executives meet at Strata every year. This conference, presented by O’Reilly and Cloudera, has more than 100 speakers.

This year, topics will include:

  • „When Self-Service BI Meets Geospatial Analysis“ by Kyungtaak Noh of SK Telecom
  • „Apache Superset: An open source data visualization platform“ by Maxime Beauchemin of Lyft
  • „From Data Driven to Data Competitive“ by June Andrews of GE Building

MLDM 2019: 15th International Conference on Machine Learning and Data Mining

  • Dates: 13–18 July 2019
  • Location: New York City
  • Cost: TBD

MLDM is a research conference held in the format of a traditional scientific conference. The aim of MLDM is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the status of research and steer the direction of the global research community. Research papers and application papers are welcome.

Accelerate AI, West 2019

  • Dates: 29–30 October 2019
  • Location: San Francisco, California
  • Cost: TBD

Accelerate AI is as bright as a fashion show. It includes a showcase, famous speakers, and the most cross-industry themes of any AI conference on the planet.

This year, topics will include:

  • Healthcare
  • Biotech
  • Pharma
  • Life sciences
  • Financial services
  • Quantitative finance
  • Insurance
  • Banking
  • Cross-industry
  • Auto & manufacturing
  • Retail & online
  • Media & marketing

CANADA

AI World Forum

  • Dates: 4–5 March 2019
  • Location: Toronto, Canada
  • Cost: TBD

The AI World Forum explores leadership trends in machine learning, quantum computing, artificial intelligence, robotics, infrastructure, healthcare, cybersecurity, self-driving cars, chatbots, law and ethics, banking, defence, food security, and diversity in AI and its impacts on the global economy.

This year, topics will include:

  • Artificial Intelligence: Understanding Data in a Different Way
  • Classifying AI: The AI Knowledge Map
  • The Intersection Between AI and Blockchain

Big Data Toronto 2019 and AI Toronto

  • Dates: 12–13 June 2019
  • Location: Toronto, Canada
  • Cost: TBD

These AI and data analytics conferences bring together specialists from IBM, Reddit, Samsung, Sun Life Financial, AWS, Twitter, and other companies to tell you more about the biggest trends in big data and AI. The full programs of both conferences are coming soon.

Deep Learning Summit

  • Dates: 24–25 October 2019
  • Location: Montreal, Canada
  • Cost: C$595 — C$2,095

This year’s Deep Learning Summit will host 75 speakers and 800 attendees. The whole agenda will be announced soon.

This year, topics will include:

  • Examining the latest deep learning tools & techniques
  • Tackling complex environments & deep learning
  • Gaining transparency in deep learning networks
  • Moving from ensemble to deep learning in natural language processing
  • Revisiting small batch training for deep neural networks

EUROPE

Data Fest 2019

  • Dates: 11–22 March 2019
  • Location: Multiple venues across Scotland
  • Cost: Maximum of £256.19

Data Fest 2019 will offer 19 speakers for the Data section alone. Get ready for this bright conference. The main themes will include Data in Action, Creativity, and the Future of Work and Skills. The whole program is coming soon.

J On The Beach 2019

  • Dates: 15–17 May 2019
  • Location: Marbella, Spain
  • Cost: €130 — €250

JOTB is an international rendezvous for developers and DevOps that focuses on big data technologies. This is a fun conference to learn and share the latest experiences, tips, and tricks related to big data technologies. Most importantly, it’s on the beach!

This year, topics will include:

  • Distributed systems
  • Big data in business
  • DevOps & architectures
  • Data visualization
  • Functional programming
  • IoT & embedded

AI & Big Data Expo Europe

  • Dates: 19–20 June 2019
  • Location: Amsterdam, the Netherlands
  • Cost: Free — €1,449

4 co-located events. 24 conference tracks. 10,000+ attendees. 300+ speakers. 350+ exhibitors. Practically the whole of Europe will be there!

The main tracks are:

  • Enterprise AI & Digital Transformation
  • Data Analytics for AI & IoT
  • Big Data Strategies
  • AI and the Consumer
  • Developing AI Technologies and Big Data for Industry

Machine Learning for DevOps Summit, Europe

  • Dates: 19–20 September 2019
  • Location: London, UK
  • Cost: TBD

90 speakers, 600 attendees, 4 tracks. This conference is for analysts who write code as well as reports.

This year, topics will include:

  • Machine learning
  • Predictive analytics
  • Troubleshooting
  • Automation
  • Anomaly detection
  • Increasing collaboration
  • Architectural practices
  • Pattern recognition

Data Natives

  • Dates: 21–22 November 2019
  • Location: Berlin, Germany
  • Cost: €30 — €300

Everything will be announced in February. But it looks promising already!

Australia & Asia

Big Data & AI Leaders Summit Sydney 2019

  • Dates: 27–28 February 2019
  • Location: Sydney, Australia
  • Cost: A$999 — A$1,099

Australia’s most exclusive and influential big data and AI conference is coming back for 2019. You’ll have the opportunity to meet more than 100 data scientists, AI researchers, developers, analysts, engineers, and executives who are redesigning the landscape of technology and business.

Main topics of the conference will include:

  • Advanced data science and AI technologies
  • The scale-up journey of tech start-ups with artificial intelligence
  • Data-driven analytics and business management
  • IT governance, strategy, and data security
  • Rewriting life with health data science

New Zealand Government Data Summit

  • Dates: 5–7 March 2019
  • Location: Wellington, New Zealand
  • Cost: $3,899 max

The New Zealand Government Data Summit is expected to have 100 attendees, 20 speakers, and international case studies. This is where government meets modern data technologies.

This year, topics will include:

  • Data science
  • Information management
  • Data analytics
  • Information technology
  • Data architecture
  • Spatial intelligence
  • Information services
  • Data quality
  • Data exchange
  • Data governance
  • Information security

Big Data & AI Leaders Summit Jakarta 2019

  • Dates: 6–7 March 2019
  • Location: Jakarta, Indonesi
  • Cost: $399 — $699

Join the most influential big data and AI conference in Indonesia, with more than 100 data scientists, information technology leaders, and AI and machine learning innovators practicing technology and business at the same time.

This year, topics will include:

  • Data Literacy Is the First Step to Business Intelligence
  • How should business data scientists get ready for AI challenges?
  • Drive Data-driven Decisions across Business for Commercial Success
  • Advanced Analytics for Customer Value Management

Australian Government Data Summit

  • Dates: 19–21 March 2019
  • Location: Canberra, Australia
  • Cost: A$3,899 max

This is one of the biggest data analytics conferences to visit if you’re keen on applying data technologies to government and social development. The Australian Government Data Summit is expecting 300 attendees, 30 senior thought leaders, and multiple international case studies.

This year, topics will include:

  • Informing decision making and policy development through predictive analytics
  • Embedding artificial intelligence and machine learning processes through strategic infrastructure
  • Engaging in government-wide and cross-sector collaboration to strengthen data capacity
  • Balancing data security and citizen rights while driving ongoing innovation in data usage
  • Establishing agile infrastructure to support information exchange and big data projects

Aegis Data Science Congress

  • Dates: 29 May — 1 June, 2019
  • Location: Mumbai, India
  • Cost: TBD

The main theme of this conference is confluence of Data Science, Analytics, Big Data, Machine Learning, Artificial Intelligence, Cognitive Computing, Blockchain, IoT and Cyber Security. This conference will include:

  • Research papers presentations,
  • Workshops and exhibition,
  • Special CXO Data Night event,
  • Products and Solutions Demo.

The 20th IEEE Conference on Mobile Data Management (IEEE MDM 2019)

  • Dates: 10–13 June, 2019
  • Location: Hong Kong
  • Cost: TBD

This will be the 10th conference in the MDM series. Along with being a venue for presenting research publications, the conference also serves as a space for technical demonstrations, workshops, advanced seminars, panel discussions, and a PhD forum and industrial forum that cater to PhD students and industrial developers.

This year, topics will include

  • Mobile cloud computing and data management in the mobile cloud
  • Data management for connected cars
  • Intelligent transportation systems
  • Smart spaces
  • Mobile crowd-sourcing and crowd-sensing
  • Mobile data analytics
  • Behavioral/activity sensing and analytics
  • Mobile recommendation systems
  • Context-aware computing for intelligent mobile services
  • Theoretical foundations of data-intensive mobile computing
  • Data stream processing in mobile/sensor networks
  • Indexing, optimisation and query processing for moving objects/users
  • Location and trajectory analytics
  • Security and privacy in mobile systems
  • Innovative applications driven by mobile data

EnigmaCG Analytics Leader Summit

  • Dates: 20–21 June, 2019
  • Location: Jakarta, Indonesia
  • Cost: $419 — $699

This is one of the most mixed events with panel discussions on modern business data analytics and workshops on Python and machine learning at the same time.

This year, topics will include

  • How big data analytics can create a competitive advantage for firms across industries
  • AI/ML for homeland security
  • Big data & analytics of IoT: How big data & analytics can help to optimize wind farm performance

We hope you’ve enjoyed our list of best conferences for analysts in 2019. Save a link to this article or add these conferences to your Google Calendar:

If we have missed your favourite data analytics conference, let us know in the comments below and we’ll add it to Calendar.

FAQ

Expand all Close all
  • What are some of the top data analytics conferences to attend in 2019?

    Some top data analytics conferences in 2019 include the Strata Data Conference, the Data Science Conference, and the Predictive Analytics World Conference. These conferences offer valuable insights, networking opportunities, and workshops for professionals in the data analytics field.
  • How can attending data analytics conferences benefit professionals in this field?

    Attending data analytics conferences can benefit professionals in several ways. It provides an opportunity to learn about the latest trends, technologies, and best practices in data analytics. Conferences also offer a platform to connect with industry experts, expand professional networks, and share knowledge and experiences with like-minded professionals.
  • How can I make the most out of attending data analytics conferences?

    To make the most out of attending data analytics conferences, it is recommended to plan ahead and set specific objectives for what you hope to achieve. Research the conference agenda and prioritize the sessions and workshops that align with your interests and learning goals. Additionally, try to network and engage with other attendees, participate in interactive discussions, and make sure to collect and exchange contact information for future collaborations.