Accelerate Your Data-Driven Future with Altair at VELOCITY Data and Analytics Summit 2023, Riyadh
Frictionless AI for Every Person and Every Enterprise
26th September, 2023
Riyadh, Saudi Arabia (Crowne Plaza) #Booth No. 5
As the use of data analytics continues to grow in Saudi Arabia, Altair with its proud partner Alnafitha is all set to showcase Frictionless AI capabilities that are reshaping the data landscape at Velocity - Data and Analytics Summit, 2023, Riyadh.
Meet Us for Latest and Greatest AI Trends, Solutions and Business Use Cases
We hope you join us at our booth #5 to learn how we can empower you and your team to leverage your biggest asset – data- without any friction.
We will be showcasing our end-to-end and world's leading data science platform, Altair®RapidMiner® which provides a comprehensive toolset for data teams to ingest, transform, model, visualize, and automate data without requiring an organization to radically change its people, processes, or existing data landscape. We meet you where you are and help you achieve your data goals without fundamentally changing who you are or what you have. We have a strong community of 1.3 million users.
The other offering that makes us unique is the SAS language compiler. Many organizations have developed SAS language programs over the past 20 years that are vital to their operations. Altair SLC runs programs written in SAS language syntax without translation and without needing to license third-party products. Altair SLC reduces users’ capital costs and operating expenses thanks to its superb ability to handle high levels of throughput.
What’s holding you back? Get inspired by 50 high-impact use cases from our customers across industries.
Select your use case and schedule a meeting with us at the summit to meet our technical experts and learn how our Frictionless AI capabilities can help you achieve your data and AI goals.
Visit Altair Booth!
See the Altair RapidMiner platform in action
Our team will be showcasing the Altair RapidMiner platform so attendees can witness frictionless AI first-hand.
Sponsors
Related Resources
Data Science for Engineers: Making Use of Aerospace Telemetry Data
Discover how aerospace companies harness the potential of time series data through AI and machine learning projects. Learn to overcome challenges in data utilization and witness a motor failure prediction project using raw data within Altair RapidMiner, a comprehensive no-code data platform.
Enabling Data Science at Avery Dennison to Lower the Cost of Production
Join Karan Bedi, Digital Transformation and Technology Leader at Avery Dennison as he shares how the global company, with $8.4B in global sales, addressed their talent shortages in data science by focusing on targeted upskilling of existing employees and detail how this led to a more energized workforce. He will also detail how they facilitated the knowledge transfer from process experts, which is typically hard to distill information, using the Centre of Excellence Framework and how this meant they could drive new uses into production and increase revenue.
Serba Dinamik turbines power all critical systems on oil rigs, including safety systems and pumps. The equipment must be consistently reliable with no unplanned downtime. Traditional preventative maintenance schedules are time-consuming and resource-intensive. Learn how they developed a predictive maintenance system, to take preventative action only when needed.
Credit risk specialist builds robust SAS language-powered analytics framework. Vestigo uses Altair Analytics Workbench™ to develop and maintain models and programs written in the SAS language. The software’s drag-and-drop workflow lets its teams build new models quickly without needing to write any code. When the team needs to update existing client libraries, they can work with clients regardless of what language the client used to build them originally since Analytics Workbench can handle Python, R, and SQL in addition to the SAS language. The Vestigo team can combine modules built in any of the four languages into their updated models.
