Data Analytics & AI

Data Analytics and Artificial Intelligence (AI)

Data is unlike any other asset your organization owns. It never wears out, it never drains, and it can be used repeatedly. But the value in data is not in having it, it’s in how you use it. Altair enables data-driven enterprises by providing teams the power to use data analytics and AI to gain competitive advantages and drive next-level business results.

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2021 Future.AI conference presentations now on-demand

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Operationalize Your Data

Operationalize Your Data and AI

To better understand your processes, customers, and products, your team must collaboratively generate and share data-driven insights across the organization. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, we deliver the powerful capabilities organizations need to harness the full power of data analytics and AI throughout the complete data pipeline.

Altair Data Analytics enables organizations to operationalize data analytics and AI with secure, governed, and scalable strategies.

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AI-powered Design

AI-powered Design

Advancements in the fields of AI and machine learning (ML), combined with the increased availability of robust simulation, testing, and field data sets has made engineering data science a critical component of the modern product development lifecycle. Computer-aided engineering (CAE) augmented by AI is offering manufacturers the ability to discover ML-guided insights, explore new solutions to complex design problems through physics and AI-driven workflows, and achieve greater product innovation through collaboration and design convergence.

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Data Transformation

Data Transformation

An industry leader with more than 30 years of experience in data discovery and transformation, Altair offers the fastest and easiest way to extract data from difficult, semi-structured data like PDFs, spreadsheets and text files, as well as from Big Data and other structured sources. Whether data is on premises or in the cloud, Altair can automate preparation tasks and transform your data into accurate and clean datasets in seconds – rather than hours or days – freeing you up to spend time on value-add activities, not on mundane, repetitive and error-prone tasks.

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Predictive Analytics and Machine Learning

Predictive Analytics and Machine Learning

Altair’s machine learning and AI solutions quickly get to the granular, low-latency data that contain the insights you are trying to uncover. Delivering transparency and automation with features such as AutoML and Explainable AI, we streamline model building so more time can be spent analyzing and results can be trusted. Our flexible no-code approach doesn’t restrict how models are configured and tuned, giving you control over model building. With our support for popular, open-source languages and engines, you can integrate new models built using Altair into your existing analytics infrastructure.

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Operationalize Performance in Real Time

Data Visualization and Stream Processing

Spot anomalies, trends and outliers in seconds with real-time data, and share results across the organization using rich, powerful dashboards. Our stream processing and data visualization solutions are built for people who need to make fast, fully informed decisions based on massive amounts of fast-changing telemetry, sensor and trading data.

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New Cloud-Native Solution

Make Data-driven Decisions

Dynamic tools and collaborative environment to solve complex problems, accelerate transformation, and drive business value

Explore Altair® SmartWorks™

Featured Resources

Guide to Using Data Analytics to Prevent Financial Fraud

Financial fraud takes countless forms and involves many different aspects of business including; insurance and government benefit claims, retail returns, credit card purchases, under and misreporting of tax information, and mortgage and consumer loan applications.

eBooks

Ford Enhances Manufacturing Efficiency

Sheet metal stamping is fundamental to the automotive manufacturing industry. A vast array of different tool, die, and process combinations are employed to create an equally diverse array of components. Traditionally, identifying the optimum approach for each part has been a labor intensive and time-consuming task that requires engineering teams with high levels of skill and experience. This case study demonstrates how Altair Knowledge Studio, a general-purpose data analytics tool, can enable engineering managers and data analysts to deliver clear and quantifiable benefits in the manufacturing domain. For Ford, this is reflected in dramatic improvements in the speed and efficiency with which the best possible sheet metal stamping processes were selected.

Customer Stories, Use Cases

The Future of Self Service in Data & Analytics

Featuring an enviable lineup including; Frederic de Sibert, Global Head of Investment Banking Services Strategists at Goldman Sachs, Paul Downes, COO at Autovista Group, Kerem Talih, General Manager/CFO at Doğuş Otomotiv and Dr. Mamdouh Refaat, Chief Data Scientist at Altair. This hour-long webinar is full of insight, guidance, and tips from global businesses that are at various stages of their Data & Analytics journeys.

Webinars

Enhancing Your RPA Investment With Data Preparation

As more businesses use Robotic Process Automation (RPA) as a means to streamline operations and assess efficiency gaps, there are hurdles to fully realizing its benefits. For instance, existing data is often challenging for RPA processes to handle. Without a good solution, studies indicate that 80% of the time spent on RPA has to do with data preparation.
Discover how you can enhance your ongoing RPA investment with the right data analytics stack.

Webinars
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Product Trials