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The best predictive analytics and machine-learning conferences of 2019

John P. Mello Jr. Freelance writer

The great shift that has transformed application development has begun remolding IT operations. To keep pace with digital transformation, IT Ops is changing how it manages its ecosystem, turning to artificial intelligence (AI), analytics, and machine learning.

Cloud, agile, and DevOps are making new demands that IT can meet only through the use of AI and its ilk. Professionals who wish to advance their IT Ops career in the future will need to get a handle on AIOps, the term used to describe what it takes for IT Ops to handle digital transformation.

One way to get the knowledge needed to advance in the coming brave new world of IT Ops is to attend conferences where experts are discussing AI, analytics, and machine-learning developments and trends, and where you can consult with your peers about their experience with AIOps.

To that end, we've created the following list of popular analytics and machine language conferences for 2019. We've listed them all, although not all dates, locations, and pricing were available at publication time, especially for those events taking place later in the year. In those cases, we have provided historical information on the event to give you an idea of what to expect, and what you'll get out of attending. (Keep checking back. We'll update this guide as more information becomes available.)


AIOPs Expo

Twitter: @AIOpsExpo


Date: January 30-February 1

Location: Fort Lauderdale, Florida, USA

Cost$549 to $1,799 (time-sensitive discounts available)


This forum offers attendees a chance to take a deep dive into how AI and machine learning can improve application and network performance, as well as maintain system security. It will focus on AI for IT operations' application and network performance monitoring, and the diagnostic tools for doing that.

Who should attend: IT operations analysts, IT operations assistants, IT operations managers, business systems analysts, CRM and sales force experts, industrial engineers, network admins and engineers, performance management experts, process engineers, service management team members, and unified communications engineers and experts


DataWorks Summit

Twitter: @DataWorksSummit


Date: February 6

Location: Melbourne, Australia

Cost: A$399 to A$699 (time-sensitive and alumni discounts available)


The DataWorks Summits—hosted by Hortonworks, an open-source data management platform provider—focus on how organizations are using advanced analytics, data science, and AI to transform the way they deliver customer and product experiences. Tracks at the conference include AI and data science, cloud and big data architecture, data warehousing and operational data stores, and IoT and streaming analytics.


In addition to the Melbourne summit, forums will also be held in Barcelona, Spain, and Washington, DC.


Who should attend: IT Ops pros, developers, data scientists, business managers, security pros, app development, architects, and storage managers


TDWI Las Vegas Conference

Twitter: @TDWI / #TDWI


Date: February 10-15

Location: Las Vegas, Nevada, USA

Cost: $2,730 to $4,560 (member discounts available)


This is the first in a series of conferences organized by Transforming Data with Intelligence. It's co-located with TDWI's strategy Summit for Analytics event. Primarily a training conference, the forum is designed to help organizations overcome their top data challenges.


Session topics include architecting a data platform for enterprise use, crafting an enterprise platform for getting AI from concept to production, and aligning your data strategy with your business strategy. Sister conferences are scheduled for Chicago, IllinoisSan Diego, California; and Orlando, Florida.


Who should attend: Business and IT leaders; business and data analysts; data warehousing and integration specialists; analytics architects, designers, and developers; data architects, modelers, designers, and developers; and data custodians, stewards, and stakeholders


Gartner Data & Analytics Summit

Twitter: @Gartner_Events /#GartnerDA


Date: February 18-19

Location: Sydney, Australia

Cost: $3,250 (public-sector and group discounts available)


This is the first in a series of conferences Gartner will be holding during the year on data and analytics. It typically draws more than 1,000 people. Most of the sessions and talks are conducted by Gartner analysts, but there will also be guest keynotes by Neil Martin, former head of strategy and technology at McLaren and Red Bull Racing, and Christian Majgaard, a former top executive at Lego. 


Other Gartner D&A conferences will be held in London, UKOrlando, FloridaSão Paulo, Brazil; and Mumbai, India.


Who should attend: Analytics and business information practitioners, business analysts, data scientists, analytics and business information program leaders, enterprise information leaders, MDM program managers, data or information governance leaders, data management infrastructure managers, senior IT and business leaders, CDOs, chief analytics officers, senior IT leaders, senior business leaders, information architects, analytics and business information architects, enterprise architects, and application architects and managers


Modern Data Management Summit 2019

Twitter: @IEGroup / #DataDriven19


Date: February 26-27

Location: San Francisco, California, USA

Cost: Free


Organized by Innovation Enterprise Summits, this conference includes tracks on machine learning and AI, modern data management, and healthcare and life sciences. It has plenty of educational presentations, workshops, hands-on test drives, and networking opportunities.


Talks on this year's agenda include how AI analytics will transform the future of business, how data management at scale can enable digital transformation, and how to create a modern master data management platform.


Who should attend: CIOs, CDOs, data analysts, data architects, enterprise architects, and master data management leaders


Industry of Things World USA

Twitter: @IoTClan / #IoTClan


Date: March 7-8

Location: San Diego, California, USA

Cost: $1,995 to $3,495


Organizers call this conference "the leading Industrial IoT event in the USA." The event focuses on the impact of industrial IoT on current business models and production processes across all major industries. It includes topics such as automation, machine-to-machine communication, interoperability, analytics, and new business models.

Part of the Industry of Things World global event series, this conference has become the meeting point for senior executives who want to learn more about the industrial Internet. Sister conferences are scheduled for Singapore and Berlin, Germany.

Who should attend: IoT specialists and strategists, IoT novices, cloud computing adopters, big data analytics experts, and anyone else involved in a business's digital transformation

Enterprise Data World

Twitter: @EnterpriseData


Date: March 17-22

Location: Boston, Massachusetts, USA

Cost: Conference, $2,295 to $2,395; conference and advanced seminar, $2,695 to $2,895; tutorials only, $1,195 to $1,295; full event, $2,995 to $3,295 (time-sensitive discounts available)


Now in its 23rd year, this conference is recognized as one of the most comprehensive when it comes to data management. A wide range of topics is covered by the forum. They include data architecture, enterprise information management, data engineering, AI and machine learning, and information quality. In-depth tutorials and workshops are conducted on three of the event's six days. The remainder of the time focuses on sessions, case studies, and certification training and testing.

Who should attend: CDOs; data and information architects; vice presidents and directors of analytics, business intelligence, and data governance; information quality professionals; data scientists; and big data engineers

SREcon Americas

Twitter: @SREcon / @usenix / #SREcon


Date: March 25-27

Location: Brooklyn, New York, USA

Cost: $1,055 (early registration) to $1,255


This is the first in a series of conferences sponsored by the USENIX association. It will focus this year on comprehension, understandability, and predictability. How do we observe our systems? How do we tackle complexity through being able to see into our systems? How do we understand our systems' interactions with one another? How do we interact together and collaborate as groups of people? And how do our systems impact people's lives?

In addition to Brooklyn, SREcons will be held in Singapore and Dublin, Ireland.

Who should attend: Reliability and systems engineers

Strata Data Conference

Twitter: @strataconf / @OReillyMedia / #StrataHadoop


Dates: Training and tutorials, March 25-26; keynotes and sessions, March 27-28

Location: San Francisco, California, USA

Cost: Conference passes, $1,445 to $2,245; conference plus training, $2,145 to $3,545 (time-sensitive discounts available)


Formerly known as Strata + Hadoop World, the conference now called Strata Data was created in 2012, when O'Reilly and Cloudera brought together their two successful big-data conferences. Topics cover cutting-edge data science, AI, big data, and new business fundamentals. It's a deep dive into emerging data techniques and technologies. You'll dissect case studies, develop new skills through in-depth tutorials, and share emerging best practices in data science. Sister shows are being held in London, UK, and New York City.


Who should attend: Business analysts, strategists, architects, developers, data scientists, data analysts, CxOs, venture capitalists, entrepreneurs, product managers, marketing pros, and researchers


MLConf New York

Twitter: @MLconf


Dates: March 29

Location: New York City, New York, USA

Cost: $200 to $2,500


The Machine Learning Conference began in 2012 as a partnership with Carnegie Mellon University and has grown to four events annually held in New York City; Atlanta, Georgia; Seattle, Washington; and San Francisco, California. The forum gathers machine-learning and AI enthusiasts from a broad range of industries and academic backgrounds to share new tools, platforms, algorithms, and methods with a broad audience of practitioners. Each presentation offers an educational component to be shared with the community and includes specific algorithms and techniques that can be shared.

Who should attend: Data scientists, software and machine learning engineers, researchers, CxOs, and directors


Google Cloud Next

Twitter: @googlecloud / #GCPNext


Dates: April 9-11

Location: San Francisco, California, USA

Cost (2018): $999 to $1,499


Google Cloud Next focuses on Google's infrastructure- and platform-as-a-service cloud computing services for businesses. Tracks include infrastructure and operations, app development, and data and analytics.


Who should attend: IT Ops pros and developers who use Google Cloud Platform services

Gartner IT, Infrastructure, Operations, and Cloud Strategies Conference

Twitter: @Gartner_Event


Dates: April 24-25

Location: São Paulo, Brazil

Cost: R$3,950 to R$4,500 (public-sector and group discounts available)


This is the first in a series of conferences held by Gartner during the year on IT, infrastructure, operations, and cloud strategies. Around 800 people attend the more than 45 sessions, which include topics on machine learning, AI, and automation. Other conferences in this series will be hosted in Sydney, AustraliaMumbai, IndiaFrankfurt, Germany; and Mexico City, Mexico.

Who should attend: Business analysts, senior IT and business leaders, enterprise architects, and I&O leaders and practitioners

Predictive Analytics Innovation Summit

Twitter: @IEGroup / #PASanDiego


Dates: April 29-30

Location: San Diego, California, USA

Cost: $1,050 to $1,499 (time-sensitive discounts available)


This event, organized by the Innovation Enterprise Group, focuses on using statistical analysis, predictive modeling, data mining, text analytics, and machine-learning techniques to predict the future. Topic areas covered at the forum include adoption of AI and machine learning in the enterprise, translating data into actionable analytics, and applying deep learning to business.


Who should attend: 95% of attendees are at the director level or above.


Twitter: @odsc


Dates: April 30-May 3

Location: Boston, Massachusetts, USA

Cost: $449 to $3,198 (time-sensitive discounts available)


This is the first in a series of conferences about AI and machine learning organized by the Open Source Data Conference. Co-located with the Accelerate AI business summit, the forum attracts professionals from a variety of companies, including Adobe, Aetna, Allstate, Boeing, CBS, Microsoft, Monsanto, Netflix, Raytheon, Samsung, and Walmart. It offers conference-goers an opportunity to learn about the latest trends and gain insights from more than 200 data science experts.


In addition to Boston, ODSC has scheduled events for Bengaluru, IndiaSan Francisco, California; and London, UK.


Who should attend: Data scientists, software engineers, analysts, managers, and CxOs


Real Business Intelligence Conference

Twitter: @RealBIEvent / #REALBIEVENT


Dates: May 14-15

Location: Cambridge, Massachusetts, USA

Cost: $699 to $776.75


Organized by Dresner Advisory Services and held on the campus of the Massachusetts Institute of Technology, this conference is designed for IT and business leaders looking for strategies for success with business intelligence, analytics, and information and performance management. It emphasizes using real-world best practices and proven methods to produce pragmatic and actionable takeaways.


Who should attend: Business and IT leaders, CIOs, CDOs, business intelligence and data governance practitioners, and data scientists


2019 USENIX Conference on Operational Machine Learning

Twitter: @usenix / #opml19


Dates: May 20

Location: Santa Clara, California, USA

Cost: TBA


The event is organized by the USENIX association, which stages vendor-neutral conferences about systems computing. A wide range of topics is expected to be on this year's agenda, including using new and emerging hardware acceleration for improving machine-learning performance, a look at systems for orchestrating, diagnosing, monitoring, and managing machine learning in production, and privacy and security challenges in production machine learning.


Who should attend: Machine-learning researchers, systems researchers, data scientists, data engineers, systems and IT administrators, and DevOps specialists


Data Summit 2019

Twitter: @infotoday


Dates: May 21-22

Location: Boston, Massachusetts, USA

Cost: $1,295 to $1,395 (time-sensitive discounts available)


This conference is organized by Information Today Inc., a publisher of Internet and technology magazines, newsletters, and books, as well as a stager of large-scale conferences and trade shows. The forum has four conference tracks, including one about the latest trends in analytics and another on the latest advances in data architecture.


A ticket for the Data Summit can be used for several co-located events: Data Lake Boot Camp, DataOps Boot Camp, Cognitive Computing and AI Summit, and Data Solutions Showcase.


Who should attend: CIOs, CDOs, database administrators, application developers, IT directors and managers, software engineers, data architects, technology specialists, data analysts, project managers, data scientists, and business directors and managers



Twitter: @Monitorama


Dates: June 3-5

Location: Portland, Oregon, USA

Cost: $700


This conference focuses on techniques and tools used to monitor complex applications and infrastructure. Attendees can hear talks by industry experts and community leaders about the newest approaches to monitoring and observability, including AIOps. Past conferences have covered topics such as Rethinking UX for AI-driven monitoring tools, and how AI helps observe decentralized systems.


Who should attend: Monitoring engineers, developers, production engineers, software architects and engineers, reliability engineers, and network architects

Big Data Toronto

Twitter: @BigDataTO


Dates: June 12-13

Location: Toronto, Ontario, Canada

Cost: C$357 


This is a large conference, with more than 5,000 attendees, 150 speakers, and 90 exhibitors. It focuses on the pragmatic aspects of data and stays away from the theoretical aspects of it. Among the topics expected to be covered in this year's forum are predictive analytics, advanced machine learning, data governance, privacy, cybersecurity, smart home and IoT, digital transformation, Hadoop, cloud analytics, and cloud computing.

Who should attend: Managers and directors, vice presidents and C-level executives, and engineers and data scientists


Gartner Catalyst Conference

Twitter: @Gartner_Events / #GartnerCAT


Date: August 12-15

Location: San Diego, California, USA

Cost: $3,350 to $3,700 (discounts available)


Featuring more than 50 Gartner analysts, Catalyst promises a deep dive into the digital enterprise's architectural requirements, touching on areas such as mobility, cloud architecture, data analytics, enterprise-scale security and identity, software-defined data centers, DevOps, and digital productivity via mobile and cloud.


Gartner has described Catalyst as "technically focused and committed to pragmatic, how-to content" so that attendees can return to their workplaces "with a blueprint for project planning and execution."


Who should attend: Technical professionals in roles including applications, business intelligence, infrastructure, operations, security, and risk

AIOps Symposium

Twitter: @moogsoft


Date (2018): August

Location (2018): San Francisco, California, USA

Cost (2018): $599


This event is organized by Moogsoft, a maker of an AIOps solutions. The 2018 forum included presentations and interactive sessions from guest Gartner analysts, as well as from Moogsoft customers and partners.

In addition, AIOps industry leaders at the gathering shared practical advice on how enterprises can use AI to transform their IT operations and gain agility, lower operational costs, and deliver better customer experiences. A sister conference was held in London in the fall.

Who should attend: Operations team members, IT operations personnel, IT operations analysts, IT operations assistants, and IT operations managers


Machine Learning for DevOps Summit London


Twitter: @teamrework


Dates: September 19-20

Location: London, UK

Cost: TBA


This four-track conference focuses on the use of machine learning to improve DevOps practices. In 2018, the forum had 60 speakers from companies such as Capital One, Spotify, Adobe, Google, and Walmart. Presentation topics included using data to infer deployment profiles for cloud applications, deploying scalable machine-learning models in the enterprise, machine learning with Kubernetes, and AI DevOps for large-scale 3D audio experiences.


Who should attend: Developers, data scientists, DevOps specialists, IT decision makers, and anyone interested in combining DevOps practices with machine learning


Mark your calendars and make your choices soon. Prices may vary based on how early you register. Also, remember that hotel and travel costs are generally separate from the conference pricing.


What are your favorite conferences and why? Post your comments below, and let us know if there are any other events or conferences we missed.

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