AND SKILLS YOU NEED TO
TRANSFORM DATA INTO
In 2018, the average salary dropped for the first time since 2015, but nearly all individual employees saw their salaries rise from the previous year. Read more in the 2019 TDWI Salary, Roles, and Responsibilities Report.
This TDWI Pulse Report examines five areas that organizations need to address to ensure business value and ROI as they increase the role of the cloud in data life cycles.
This TDWI Best Practices Report examines where organizations are facing barriers to getting relevant data into the right condition for analytics, for developing artificial intelligence (AI) programs, and for delivery to users who need insights in time to solve business problems.
This checklist explores ideas for determining where traditional approaches to data integration are impeding modern analytics and will guide the reader in ways to modernize.
This TDWI Checklist report drills into the business and technical requirements for preparing data for machine learning and related practices in artificial intelligence and predictive analytics.
March 23- 25, 2020
Visualization, Dashboards & Analytics Adoption
Learn what a business glossary is and why it is needed, how it tames BI chaos, why it must be part of the BI suite, three tech components that should be automated for a mature and trusted glossary, and how to get started creating an automated business glossary for your organization.
Compare data integration with cloud versus on-premises systems, learn new capabilities of vendor-built or open-source data integration tools (pipelining, orchestration, and transformation), and explore real-world use cases for modern data integration in data warehousing and analytics.
Organizations are using IoT for a range of use cases, from sensing air quality to autonomous vehicles, designing factories of the future to disaster response. A recent TDWI survey sheds light on how enterprises are planning to use or currently using IoT, what challenges they face, and how often they need to visualize their ever-changing data from IoT sources.
This TDWI Best Practices Report examines how organizations using AI are making it work. It looks at how those exploring the technology are planning to implement it. Finally, it offers recommendations and best practices for successfully implementing AI in organizations.
This issue of the Business Intelligence Journal looks at a variety of ways that speed—speed of response through data sampling, speed of design through agile data governance, and more—can contribute to the health and welfare of your enterprise.
No matter your challenge, TDWI Las Vegas delivers the most applicable training on your top data and analytics challenges from the industry’s most respected thought leaders and practitioners. Walk away with the skills and best practices you need to advance your data and analytics initiatives now.
The TDWI Las Vegas Strategy Summit for Analytics offers leaders the chance to discover new capabilities for analytics and learn how to implement advanced analytics like machine learning, AI, and data science initiatives. Attend a workshop, view case studies, and learn about new technologies from industry thought leaders at this two-day event.
Houston / Virtual Classroom Learn the cornerstones of analytics, dive into the capabilities of predictive analytics, and gain essential skills for effectively communicating your findings through data visualization at this three-day seminar. Join us in Houston or online!
Phoenix / Virtual Classroom Learn the essentials of machine learning at this three-day seminar in Phoenix. Tackle organizational challenges for advanced analytics, as well as data prep and analysis for both supervised and unsupervised ML algorithms.
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"I really appreciate the technology-agnostic approach so that every course is oriented around industry best practices, regardless of any software platform."
"The information and vendors far exceeded other conferences I have been to in the past."
"It gave me a jump start on learning new skills that it would have taken a lot more time to learn on my own."
"This is the third time I’ve attended the conference, I always learn something new which will benefit my organization. Having top trainers and best topics always keeps TDWI on top."
"The longer classroom-style sessions allowed for more in-depth learning and were more applicable to items specific to my business."
"The leadership event was very valuable as this provided the opportunity to network with fellow leaders and learn about analytics trends."
"I had definite actionable items from each event that I could take home with me."
"I feel like I received a semester's worth of content in 4 days, very useful for my position and organization."
"I'm new to the data science field and felt like this conference was the perfect way to start. I got a great general overview with the bootcamp, then some hands-on Python experience."
"It was a great opportunity to listen to lectures delivered by experts in the technology industry and more importantly have an opportunity to ask and get their view on an approach to solve a problem. Also a great opportunity to meet and network with peers working in the same technical field but an entirely different domain."
"Put us on the right track for starting a data science team and producing worthwhile results with our first data science project."
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