Altair® Knowledge Studio®

Advanced Machine Learning and Artificial Intelligence

Altair Data Analytics for the Federal Government

Altair Data Analytics enables government agencies and people of all skill levels to access, generate, and use smart data to make insightful, informed decisions. With decades of experience in data transformation, machine learning, and visualization, our solutions are designed so that people who work with data can collaboratively generate and share insight within a governed environment. With the necessary accreditation to operate on government networks, Altair Data Analytics is deployed in many executive government agencies worldwide to solve for security, logistics, and policy-based use cases.


Use Machine Learning To Predict Remaining Useful Life

Machine learning (ML) and stream processing technology are powerful solutions for remaining useful life (RUL) analysis. Manufactures can use the large amounts of data produced by sensors combined with human inspections of finished pieces to train ML algorithms. The ML tools can then proactively alert operators when a tool is approaching its end of life, allowing them to schedule the replacement for a convenient time. Stream processing algorithms can also process all the sensor data being generated by any number of production machines, make on-the-fly comparisons with historical data, and increase the accuracy of ML algorithms. This solutions flyer explains how smart selection and application of ML tools combined with the availability of clean, governed datasets help manufacturers optimize their maintenance and wear part replacement schedules.


Data-Driven Warranty Risk Profile Analysis

Most manufacturers must handle large numbers of warranty claims related to a variety of products and components. The volume of claims can easily run to millions per year for consumer goods manufacturers. Patterns within claims data may indicate emerging quality or design problems; therefore, identifying and prioritizing the issues requiring high priority responses is critical to improving quality and reducing the financial impact of claims. This solutions flyer how advanced data analytics tools enable teams to cleanse and organize data from any set of repositories and apply machine learning technology to identify emerging quality or design issues.


AutoML, Explainable AI, Custom Nodes + More: New Workflow Conveniences in Altair Knowledge Studio

Discover the new capabilities of Knowledge Studio that were released in 2020 to keep the tool moving as fast as science evolves. 2020 has been a slow and complicated year for some industries but not for technology. Technology continues to evolve at a fast pace and so should the solutions that support. Knowledge Studio has added some amazing features in 2020 to keep up with the trends in Data Science. Watch our lively discussion on the following new features: -Explainable AI capabilities for black box models -Automated machine learning for analysts that are not data scientists -Model Stacking to combine learnings from many models -Custom node creation through coding to keep work within the tool -Other new capabilities


Detect Anomalies in Manufacturing Equipment and Systems

Identifying unusual behaviors or patterns in machine components using sensor data can prevent small glitches from creating major operational problems.


Innovative Tools for the Next Generation Data Scientist

We’ll take you through Knowledge Studio which is a market-leading easy to use machine learning and predictive analytics solution that rapidly visualizes data as it quickly generates explainable results - without requiring a single line of code. Knowledge Studio is a perfect fit to help manage credit and fraud risk, marketing analytics, product lifecycle design, customer loyalty programs, and supply chains. From healthcare to financial services, telecommunications to product warranty claims, Knowledge Studio enables analytics teams to gain useful, actionable insight from their data. Techniques we’ll walk you through: Code Interactivity Auto ML Explainable AI Model Stacking Who should attend? This event is perfect for anyone working with and analysing complex data in their organisations.


Implement Effective Manufacturing Process Analytics

By extracting real value from their data, manufacturers can make accurate predictions about component life, replacement requirements, energy efficiency, utilization, and other factors that have direct impacts on production capacity, throughput, quality, sales, customer acceptance, and overall efficiency.


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.


Advance Asset Maintenance Strategies with Predictive Analytics

Predictive maintenance provides a proactive solution to monitor equipment health and predict failures. It enables organizations to avoid machine failures and unplanned downtime, increase equipment and production line productivity, reduce maintenance costs (including hard component replacement costs and associated personnel time), and improve output quality.


Automated Machine Learning Streamlines Root Cause Analysis

Root Cause Analysis is critically important to the ongoing success of any manufactured product. Detecting design defects, raw material problems, build issues, and quality control shortfalls as early as possible fosters continuous product improvement, increased reliability and performance, and allows the company to maintain strong reputations for product brands.


Using Data Automation and Predictive Analytics To Reassess Risk In the COVID-19 Era

How can banks & credit unions use data automation and predictive analytics to reassess risk due to COVID-related unemployment? Join Dylan Tancill, Director of Altair's Bank & Credit Union Team, for a lively discussion presented at the recently held 5th Annual CULYtics Virtual Summit 2020.


The Next Generation of Data-Driven Lending

Post COVID-19 and as we navigate our new normal - banking and lending will undoubtedly be transformed. As the economic fallout spreads, financial firms are grappling with a major influx of relief requests from consumer and business customers. Our panelists discuss whether modern technology, advanced analytics, and a data-driven approach can hold the keys to ensuring banks and fintech leaders continue to scale despite this rapidly evolving credit crisis.


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.


The Future of Data Democratization

Hear from a prestigious panel of experts including David Huguet, Data Lead at SNCF, plus Martijn van Baardwijk, CFO - Continental Europe at Inchcape plc. as we focus on;

  • How to democratise data inside and outside your company;
  • How to manage the security and risk associated with data democratization;
  • The improvements brought by having unified access to data.
Chaired by Anthony Townsend, Director of EMEA Sales, Altair.


The Future of Augmented Analytics

Augmented Analytics is being touted as the next frontier in AI’s Evolution with Gartner defining it as “the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data”.


Knowledge Studio Spotlight Series: Optimizing Marketing Retention Campaigns Using Data Analytics

Marketers need to better understand changing preferences and shifting demand so they can personalize their interactions. Altair Data Analytics solutions help clients derive deeper, faster customer and prospect insights by blending and analyzing data across all channels, without any coding or IT dependencies.


A Journey in Machine Learning: Updates and Use Cases From Angoss to Altair Knowledge Studio

Data Analytics is at the core of driving business value through digital transformation. Transparency in model building and explaining model outcomes leads to confident decision making. Learn how Altair Knowledge Studio fits into an organization’s data-driven approach to solve complex business questions.


Financial Fraud Mitigation with Data Analytics

Fraud mitigation requires technologies and business processes that are flexible in their construct, easily understood by all who are involved in fraud prevention, and are agile enough to adapt to new attacks without needing to be rebuilt from scratch.
Data from all business units and functional silos must be included to create a holistic view of the success of fraud operations. The insight found in classical auditing techniques and predictive machine learning models, combined with the expertise of fraud analysts can foster an evidenced-based methodology to quickly respond to new financial crimes.


Genworth Mortgage Machine Learning Experience with Altair Knowledge Studio

Genworth Global Mortgage Insurance (GMI) outlines their Machine Learning Journey with Altair Knowledge Studio and Text Mining.


Telecom Cross Selling to Increase Loyalty, Revenue

There is tremendous opportunity for telco providers to grow Annual Revenue Per User through increased loyalty


Leverage Altair Data Analytics for Optimizing Preventative Churn Strategies

It's no industry secret that it costs less to retain existing customers than it does to acquire new ones.


Altair's 2020 Data Analytics Summit

James R. Scapa brings more than 35 years of engineering experience to his dual role of chairman and CEO of Altair, a title he has held since the company's inception in 1985. Through Scapa's leadership, the company is now a global technology company that provides software and cloud solutions in the areas of product development, high performance computing (HPC) and data analytics. Today, the company employs over 3,000 engineers, scientists and creatives with more than 86 offices in 25 countries. With more than 11,000 customers globally, Altair software enables customers to enhance product performance, compress development time and reduce costs. Scapa earned a bachelor's degree in mechanical engineering from Columbia University and a master of business administration degree from University of Michigan.


5 Key Areas to Invest in to Enable Smarter Decision Making

Explores the five key areas to invest in to enable smarter decision making with data.


The Future of Altair's Data Analytics Solutions

Altair solver technology helps to unleash the limitless potential of the creative mind. We seek through our technology to inspire and empower people to solve the greatest engineering challenges. The 2020 software release further advances forward-looking technologies for simulation and optimization from concept to in-service across multiple disciplines encompassing structures, fluids, thermal management, electromagnetics, and electronics. With major additions to our multi-physics solver portfolio, we get ever closer to being able to reliably predict design performance.


The Data-Supported Deception: False Insights

ML and AI is experiencing a revolution in the scale of usage and applications. A common and frequent step in the ML model development process is the use of data to extract insights about the process being modeled and optimized. However, insights based on data could often show unreal trends and relationships.


Introduction to Predictive Analytics and Machine Learning Using Altair Knowledge Studio

This session will be a general overview of just exactly what machine learning is and how it can add value to your business. Definitions of terms and an overview of what kinds of predictive analytics there are, and what is needed from a business perspective to take advantage of these predictive techniques. Attendees will be given examples of models and an introduction on how to take historical data, build models and create a reusable workflow.

Presentations, Training Materials

Advanced Analytics Using Altair Knowledge Studio

Building on the introduction class, this session will take the attendees on a journey into specific modeling examples, example on how to validate those models and finally analysis and test those models.

Presentations, Training Materials

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

Continuous Intelligence and the Smart Factory

The presentation will go through a scenario of a smart factory (along the lines of the Industry 4.0 initiative) where a chemical process within a pharmaceutical company produces a substance critical to the production of medications.


Harness The Power of Machine Learning While Building Trust Using Explainable Predictive Analytics

This presentation is about making machine learning models and their decisions interpretable, and why it's important and valuable.


Harnessing Smart Factory Data for Maximum Value and Reduced Risk

Increase shop floor efficiency by identifying hidden anomalies and delivering insights for next-level monitoring and maintenance of manufacturing assets. Explore how Altair enables enterprises to leverage operational data throughout the complete data lifecycle - from shop floor to top floor - for increased value and reduced risk with a comprehensive self-service data analytics and machine learning platform.


Decision Making Under the “New Normal”

“Altair transforms design and decision making by applying simulation, machine learning and optimization throughout product lifecycles”. We envisioned and matured our platform to provide a helping hand in taking our customers through the digital transformation journey to enable business transformation.


Altair Knowledge Studio and Panopticon - Use Machine Learning in a Smart Factory Process Manufacturing

This short video demostrates machine learning applied to a manufacturing workflow for an organic sythesis process. Altair Knowledge Studio - Altair's solution for advanced machine learning and artificial intelligence - is used in combination with Panopticon - a platform for user-driven monitoring of real-time data.

Use Cases

Self Service Data Transformation In The Federal Government: A Look At Criminal Investigation, Accounting, and Maintenance Analytics

Explore how Altair’s self-service data analytics platform enables federal authorities to access, generate, and use smart data to make insightful, informed decisions. We’re joined by our Solution Specialist to see how different federal government data sets, including criminal investigation data and maintenance analytics data, can be easily transformed and business processes automated.

Videos, Webinars

Powerful Customer Intelligence

Knowledge Studio Text Analytics Add-On is an industry-first application that combines visual text discovery and sentiment analysis with the power of predictive analytics. It delivers unparalleled voice of the customer insights to support customer experience management.


Demystifying Data Science: Predictive Modeling

What is Predictive Modeling?  Why is it useful?  How do you leverage Predictive Modeling in a practical sense for your business?  Users will end this session with a better idea of how they might be able to apply predictive modeling to their own potential use cases. In this webinar, we explore, an introduction to Predictive Modeling, a practical help as to how business and analytics users can best leverage predictive modeling tools, ways to challenge and test predictive models to ensure confidence in performance, and best practice examples of how to deploy the results from predictive.


Training - Machine Learning Techniques For CAE Applications Using Altair Knowledge Works

Machine Learning Techniques For CAE Applications Using Altair Knowledge Works


Retaining High Value For Your Business Using Data Analytics

A profound shift in the world economy means that businesses will rely more on analytics to predict a behavior down to a particular confidence interval. Loss of revenue streams and mitigating other risks highlights the importance of using data to drive decisions around strategies that are intended to maintain revenue, reduce costs, and navigate through other challenges.


Using Altair Data Analytics To Track Down Fraudulent Activities

Altair Data Analytics helps the Intelligence Community implement and streamline advanced interoperability through smart data preparation and predictive analytics, allowing security analysts to rapidly access, clean, and transform difficult data from disparate sources into a leverageable, shared asset for efficient reporting. During the 20-minute session presented at the recently-held Intelligence Analytics Virtual Summit, we discussed how to leverage data preparation and predictive analytics to automate repetitive, error-prone processes associated with accessing and reconciling data, eliminating manual work, and fostering smart decision-making across the board.

Presentations, Webinars

Data Preparation, Data Science and Machine Learning

Future of Data Analytics for Financial Services using Altair Knowledge Works. The sessions aim to upgrade and improve your skills in key aspects of Data Analytics – Data Preparation, Machine Learning and Visualization.


Stream Processing and Visualization

Future of Data Analytics for Financial Services using Altair Knowledge Works. The sessions aim to upgrade and improve your skills in key aspects of Data Analytics – Data Preparation, Machine Learning and Visualization. Webinars,Knowledge Hub,Knowledge Studio,Data Analytics,Financial Services,Corporate,Knowledge Works


Predictive Analytics and Machine Learning with Knowledge Studio

Accurately predicting future consumer behavior allows credit risk analysts, financial marketing analysts, and fraud detection teams to better deploy strategies to capitalize on opportunities while deploying strategies that act as preventative measures against disruptive forces to their business models.

Technical Papers

Altair Predictive Analytics and Machine Learning

Altair Knowledge Works: Driving down costs using Predictive Maintenance in a Manufacturing Environment Reliant on Robotic Arms

Technical Papers

Altair Knowledge Studio R Language Integration

Knowledge Studio predictive analytics software enables users to efficiently find insight from large amounts of disparate data sources and removing complexity often encountered when creating sophisticated statistical models.


Current Use of Python in Data Science: Challenges

Altair Knowledge Studio is the best solution that addresses Python coding challenges. Data scientists can rely on Altair to efficiently build powerful and insightful predictive models to make better business decisions.


An Analytical Approach to Financial Crimes Rules Creation and Optimization

Recent studies from leading financial institutions show that financial fraud continues to rise at alarming rates. According to Experian, credit and debit card fraud has risen over 60% in the first half of 2019. Although Millennials are highly targeted (an 80% chance of being a target of fraud), no one is immune from criminal activity. Home grown fraud rules, based on in-house subject matter expertise and observations, are commonly used to counter fraud attacks as well as other financial crimes, such as Anti-Money Laundering. Altair offers an industry leading approach to augment/adjust these rules based on actual analytical models. The benefit realized is that fraud analysts can update rules without needing to turn to highly utilized resources such as data scientists.


Creating Value Using Machine Learning

Altair released the Knowledge Works platform which is used for data preparation, data prediction and data visualization. In this webinar an introduction to the Machine Learning capabilities of Knowledge Works is presented. The webinar contains: A brief introduction to the concept of Machine Learning A live demo solving a problem using Predictive Maintenance Methods for transforming the Machine Learning algorithms to actual profit


AI & The Future of Product Lifecycles

This presentation discusses the changes in product lifecycles in the last decade or so, introduces artificial intelligence and machine learning, and how it fits with simulation & engineering. Simulation and machine learning product lifecycles, and current trends will be discussed, along with Altair's vision of simulation with machine learning.

ATC Presentations