Academic conferences are important for everyone – from PhD candidates to R&D Labs of big companies. It is there that you can showcase your latest work and thesis and also at times, give physical demonstrations. It is a great way to catch the eyes of potential investors, reach out to a wider audience or even just let people know about the work that you are doing. Analytics, Big Data, and Artificial Intelligence have become the most spoken-of topics in today’s world, and that’s why we have listed down the top conferences in North America and Europe of 2019, that you simply cannot miss!
- Deep Learning Summit (San Francisco, 24th & 25th Jan)
One of the most important topics under Machine Learning today, Deep Learning has become the latest way for machines to understand problems that humans can’t even fathom. In the Deep Learning Summit at San Francisco, we shall hear about the latest works in this field from almost 100 speakers. Speakers range from industry professionals from Google, Uber Labs, Walmart Labs and Netflix to professors from colleges like UC Berkley, and Stanford. Eight hundred visitors have already registered for the event and more are supposed to follow suit.
- Applied Machine Learning Days (EPFL, Lausanne, Switzerland, 26th – 29th Jan)
“Four days of talks, tutorials & workshops, on Machine Learning and Artificial Intelligence with top speakers from around the world.” This is what the official website promises for all those who want to see Machine Learning in action in one of the top Universities in the world! There are a total of twenty-five hands-on sessions, consisting of different workshops, from beginner to advanced levels and two hundred and thirty speakers, along with poster session and a job fair. The conference also promises a special session with Garry Kasparov, a Chess Grandmaster and the Chairman of the Human Rights Foundation.
- Data Innovation Summit 2019 (Kistamässan, Stockholm, 14th & 15th March)
This year, one of the most awaited Data Innovation Summit will be having a total of six stages- Analytics, Applied Innovation, Machine Learning & Deep Learning, IOT innovation, Data Management, and Data Engineering stage!
For deep diving into specific topics, as per requests by delegates, there will also be six workshop rooms, each dedicated to a unique domain. The Crash-Courses would be a hundred minute each and have a maximum of forty participants.
The Data Octagon Program will be held separately which is an online program that will be streaming data that will provide meaningful insights into current data practices, trends, challenges, and opportunities, along with an overview of the latest technological breakthroughs, and a glimpse into future of data management, analytics and automation.
- Gartner Data & Analytics Summit (Orlando, Florida, 18th – 21st March)
Gartner is one of the leading companies that is associated with Data and Analytics, and hence this summit is a definite go to for any professional associated with Data and Analytics. There will be top Gartner officials such as the CEO and Research VPs talking about topics such as-
- Artificial Intelligence and Machine Learning
- AI enabled systems
- Citizen Data scientists and developers
- Customer Analytics
- Data & Analytics Strategy
- Data Fluency
- Governance and Trust
- Role of Chief Data Officer and the Role of Chief Analytics Officer
- Marketing Analytics & Data Science (San Francisco, 8th – 10th April)
The MADS conference is mostly for the people who want to know more about the latest applications of Data Science in Marketing and Advertisements. Millennial consumers demand a more personalized and customized approach when it comes to experiences as well as products. This conference will be based on how that can be done with the help of Data Science while also providing internal stakeholders with enough data to make more informed and responsible decisions.
- The Data Science Conference (Boston, 23rd & 24th May)
A one of its kind, this conference provides a vendor-free, sponsor-free, and recruiter-free meeting space for data scientists from all over the world.
However, speakers from different fields such as artificial intelligence, machine learning, data mining, big data, and predictive modelling would all be coming together in this conference, all for the love of the same thing- data science. It is one of the biggest Data Science Conferences, which in the past, has had speakers from Facebook, E&Y, National Geography, Microsoft, Boeing, Deloitte, and more.
- Big Data Toronto (Toronto, 12th & 13th June)
When it comes to Canada, Big Data Toronto is the number one Data Analytics Conference and Expo of 2019. It will be held in the ginormous Metro Toronto Convention Centre in downtown Toronto. It will be having workshops, networking opportunities and exciting product demos for all participants interested in Big Data.
The conference itself would consist of talks on several topics such as predictive analytics, smart home and IOT, advanced machine learning, cybersecurity, data governance, Hadoop, cloud analytics & computing and more.
If you are looking for networking opportunities, this conference with over four thousand registered participants along with a hundred speakers and sixty exhibiting brands is one of your best options in 2019.
- Deep Learning World (Las Vegas, 16th – 20th June)
Deep Learning World is a premier conference which mainly covers commercial applications of deep learning and all the efforts that go behind it, such as the infrastructure and cloud setups and configurations. It consists of multiple workshops as well, on topics like Deep Neural Networks and Geospatial Machine Learning. They also have a special session- “Deep Learning For Startup Companies — When You Only Have Little Data to Start With”, which many startups might be highly interested in.
- AI Conference 2019 by O’Reilly and Intel (San Jose, 9th – 12th Sep)
Taking place in the San Jose McEnery Convention Center, in the middle of the historic Downtown, this is the conference where cutting-edge science meets new business implementation. This is another one of those big conferences that focuses more on the application of newly evolved technologies, by exploring practical business solutions.
Successfully implemented AI projects will be explained in details, and high-level briefings and tech skill discussions will also be held.
This conference which will see many of the top ML Scientists, Data Engineers, and product managers is a must for anyone in the industry who wants to stay aware of the recent developments in the field of AI.
- AI and Big Data Expo (Santa Clara, 28th & 29th Nov)
If the rest of the lineup till now has been “conferences”, then this one in Santa Clara is a mega-conference having thirteen thousand attendees, four co-located events, more than five hundred speakers and three hundred and fifty plus exhibitors. It will help companies showcase the next-gen technologies and strategies from the fields of Artificial Intelligence & Big Data. It will also provide insights into how companies can integrate these technologies to make their businesses more intelligent. Most of the AI-based market leaders, evangelists, and the rising start-ups are set to talk about and debate the advancements in Artificial Intelligence & Big Data. They would also be discussing impactful topics like the effect of AI within Enterprise & Consumer sectors and market opportunities within digital transformations.
The expo is actually one of the four that will be co-hosted in order to bring in such a huge crowd. The other three events that will be going on simultaneously are the IoT Tech Expo, the Blockchain Expo, and the Cloud Expo.
- Predictive Analytics World (Berlin, 18th & 19th Nov)
To be held in the capital city of Germany, the Predictive Analytics World is a unique conference for predictive analytics since it is “vendor neutral” and instead focuses on the tech that lies behind the scenes. It has published the different topics that will be covered.
The methods covered are- Regression Models, Decision Trees, Time Series Models, Neural Networks, Bayesian Methods, Kernel Methods, Markov Chains & Monte Carlo Simulations. Among applications are- Data, Text, Process, Stream & Network Mining, Clustering & Classification, Natural Language Processing & Generation, Anomaly & Event Detection, Association Rule Learning & Recommender Systems, Predictive Maintenance & Digital Twins and Risk Scoring & Fraud Detection.
Among the tools that will be discussed are R, Python, Scala, KNIME, RapidMiner, WEKA and more.
Conferences are a great place for networking, learning and showcasing and hopefully, 2019 will help more companies gain ground with the help of so many great conferences to showcase their products and skills.