Altair enables organizations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization and more. With a no-code, cloud-ready interface, organizations can harness the full power of analytics and AI throughout its complete data lifecycle, driving next-level business results.
Today’s BFSI organizations need unparalleled data control, organization, and insight to ensure they’re making confident, well-informed decisions. Our suite of no-code, AI-powered data analytics solutions help you streamline the lending and servicing workflow, predict credit and default risk, and give you unmatched data insight so you’re making smart, timely decisions. With Altair, you can usher in a whole new world of data insight.
Financial data analytics doesn’t have to be daunting. With Altair’s world-class data analytics solutions, you get tools that let you organize, visualize, consolidate, and control your data so you don’t miss any insights. Our solutions also let you standardize reporting and exporting methods, perform real-time trade analysis, and more. With our intuitive, no-code software, leverage all your data so you can maximize performance, minimize risk, and make confident, well-informed business decisions.
Modern manufacturing is more data-oriented than ever – that’s why you need intuitive, powerful, no-code software solutions that can maximize output and efficiency, minimize unscheduled downtime, and give you unmatched insight into your products’ performance in the field. Our suite of AI-powered tools help you monitor equipment, provide real-time feedback, and ensure everything’s running at peak performance. With Altair, get the most from your operations 24 hours a day, 365 days a year.
The Industrial Internet of Things (IIOT) is going full throttle, increasing connectivity, generating data, and unlocking unforeseen business potential. Altair knows how to harness this data to fuel innovation, create new opportunities, and accelerate any team’s smart manufacturing transformation.
To maximize data insight generated from processes, customers, and products, your team must be able to generate and share data across the organization. Our solutions support users of varying skillsets – including engineers, MLOps specialists, business analysts, and more – with a no-code, cloud-ready interface that delivers the robust capabilities they need to harness the full power of AI-driven data analytics.
Altair RapidMiner empowers organizations with unmatched data analytics and AI technology so users can develop secure, governed, and scalable strategies.
Our robust solutions empower you to write data-centric applications using the best programming language(s) for the job, and let you mix syntax from multiple languages inside a single program. Both our code and no-code tools let you create, maintain, and run models using languages like Python, R, SQL, and the SAS language. Organizations that have invested heavily in IP developed with the SAS language can use our tools to maintain and run their existing SAS language programs without needing any third-party products or middleware.
Advancements in AI and machine learning (ML) technology – along with the proliferation of simulation, testing, and field data sets – has made data science a critical component of the modern engineering and product development lifecycle. Computer-aided engineering (CAE), powered by AI, gives manufacturers the power to discover ML-driven insights, explore new solutions and designs, and develop and test cutting-edge products through collaboration and a streamlined design workflow.
As an industry leader that boasts more than 30 years’ experience in data discovery and transformation, we offer the fastest, easiest way to extract data from difficult, semi-structured data like PDFs, spreadsheets, and text files. We also offer solutions that can extract data from Big Data and other structured sources. Whether your data is on-premises or in the cloud, our tools can automate data preparation tasks –freeing up time you can spend on value-add activities.
Our machine learning (ML) and AI solutions quickly get to the granular, low-latency data that contains the precious insights you’re trying to uncover. Delivering transparency and automation through features like AutoML and Explainable AI, we streamline model building so you can have confidence in your results. Our flexible, no-code approach lets you freely configure and tune models, giving you more control than ever over the model building process.
Our solutions let you connect directly to virtually any data source so you can build analytical dashboards with a no-code, drag-and-drop interface you can share enterprise-wide. Altair BI visualization tools let organizations perform virtual analyses on large sets of historical data. Utilizing our streaming analytics tools, teams can make fast, fully informed decisions based on rapidly-changing telemetry, sensor, transaction, and trading data.
Save time automating tasks - work smarter, not harder!
– Marketing Manager | Education Industry -
To read the full review click here.
Amazing product for scaling and deploying Machine Learning in enterprise.
– Data Scientist | Manufacturing Industry -
To read the full review click here.
This product continues to "wow" us year after year.
– VP | Business Intelligence Manager in the Finance Industry -
To read the full review click here.
Data science and machine learning (DSML) are rapidly becoming the competitive advantage every company needs. This Market Guide provides insights from Gartner on how multipersona DSML platforms support the needs of diverse group of technical and nontechnical roles throughout an organization.
ABI Research, a leading global technology intelligence firm, has awarded Altair the titles of Overall Leader, Top Innovator, and Top Implementer in their 2023 ranking of manufacturing data analytics offerings. Read the report for market insights and an overview of Industrial Internet of Things (IIoT) data analytics offerings.
Lenders need tools they can employ during the loan application process to advance an application to the next step or divert potential customers to alternative products that are a better fit. Implementing artificial intelligence (AI) models that facilitate fast credit reviews — and even approvals — can help lenders increase the quality, number, and amount of loans they grant without taking on unacceptable levels of risk.
Identifying potentially impactful use cases is one of the most cited roadblocks for organizations seeking to leverage AI in their business. To complicate things further, best practices dictate that you should have a portfolio of use cases ready to experiment with. If finding one is a challenge, developing a whole portfolio of use cases may prove to be very difficult.
In this guide, we’ll cover:
A multinational financial services company wanted to explore improving its collection rate and process but did not have the in-house talent it could dedicate to the project. With billions in assets and more than 25 million customers throughout the world, the bank needed to integrate new sources of highly granular credit data with historical data from a variety of structured sources and semi-structured. Their collections process lacked prescriptive analytics to optimize which loan they reached out to each day and through which channel. It was also having productivity issues and struggling to launch new credit products because of inflexible data transformation tools that couldn’t accommodate new variables.