The Deep Dive: Practical AI and Data Science for Engineering

Data in all its glory, but the real challenge lies in generating value from the data. We all know that semi-structured data like PDFs and text files, or even structured sources of data is useless unless we can extract the relevant information and visualize it in an understandable way. Compaines around the world collect a huge amount of data every day. This data would be a fantastic source of information for decision making, if we could only make it understandable for us. This is where most companies loses the battle. Combine data from multiple sources is necessary for nearly every department to get accurate answers to critical questions. Manually cleaning, joining, transforming reports for reconciliation takes an enormous amount of time, is repetitive and error prone.

In the second installment of this Data Science for Engineering series, we covered:

• Predictive modeling and evaluation techniques
• The Cross-Industry Standard Process for Data Mining (CRISP-DM) framework
• Spotlight on Altair customer stories - Ford Motor Company and Renishaw
• Technical demonstration of building machine learning models for predictive maintenance, testing, and quality analysis
• Live Q&A Session

Cloud utilization has drastically changed how organizations operate today, but understanding how it's being used within your organization is key to saving on costs and avoiding security concerns. In fact, organizations are using the cloud more than ever—and they're oftentimes using more than one provider. Find out how you can create a unified outlook of your best practices, costs, security concerns, and utilization across all cloud providers to understand your use of the cloud and address immediate concerns. Join our experts as we discuss: -How reports are generated between the various cloud providers and the challenges they pose -How we can prepare and normalize the reports in order to gain insight on how our organization is using the cloud internally -Creating outputs to send to the appropriate parties for a greater level of agility

We kick off the Data Science for Engineering series by covering the first step of data science methodology. During this 90-minute presentation and Q&A we discuss:

• The "why" of engineering-data science convergence holds the key to unlocking the full potential of data and AI in manufacturing​.
• The data science basics including the Cross-Industry Standard Process for Data Mining (CRISP-DM) framework​.
• How Mabe, a leader in home appliances, is leveraging the convergence of big data, analytics, and simulation to accelerate product innovation​.
• How you can gather, combine, structure, and organize engineering data using a self-service data preparation solution​ with a technical demonstration of Monarch.

RPA and Automation are popular buzzwords, but what can they actually provide your organization? And, how do you get started? Data transformation tools such as Altair Monarch perfectly complement RPA processes to free up human capital, prevent lost revenue, and ultimately maximize your investment. Learn how starting small with the right approach can help demonstrate value to your organization by minimizing repetitive and time-intensive processes.  This session explores: • Getting started with RPA and implementation in your organization • Leveraging advanced data preparation to drive operational and administrative efficiencies • Eliminating siloed usage and error-prone tasks through RPA To learn more about the ABCs of RPA, fill out the form.

Is data a challenge or an asset for your HR department? Discover how to minimize the time spent on reporting while maximizing insights from your available data sources. The HR department’s monthly, weekly, and even daily reports have a wide range of complexity and importance. From the “no-fail” tasks of payroll reporting to the in-depth look at the overall health of an organization through talent acquisition and talent retention, the role of HR and the data it needs for the job are inseparable. Our analytics expert will reveal how you can: - Manage data from payroll systems - Track diversity hire information YoY - Assess the health of your organization - And more! Visit our HR Analytics page for additional resources

The inability to monitor, investigate, and act on time-sensitive data poses a substantial risk to your trading operations. Corvil provides unparalleled, best-in-class latency measurements from the edge all the way through your infrastructure, and Altair's real-time streaming and data visualization platform, Panopticon gives you the ability to design visual user interfaces of that data that give you the perspective you need to make insightful, fully informed decisions based on massive amounts of fast-changing data. Learn how you can leverage Panopticon to remove traditional Corvil session constraints and analyze latency metrics based on symbol, order router, decision strategy, time in force, and any other FIX message field in real-time.

As part of the Altair Data Analytics Spotlight Series, we discuss modernizing your organization's data management so that you can unlock the full value of analytics and AI. If you're interested in developing a trusted data architecture that is accessible, centralized, and strategically designed to enable scalability and smarter decision making, then this webinar is perfect for you. During this webinar, we discuss how you can: - Centralize the storage of your siloed data - Improve data integrity with data normalization platforms - Analyze all of your data for deeper predictive insights

In this webinar, we share our experience on the typical challenges faced by a CPG organization in the data analytics, AI, and ML context. A deep understanding of these challenges is also the key to the solution directions with the right mix of talent, tools, and technologies.

The Mining industry faces a lot of challenges and remains under high pressure to control costs, improve operational efficiency as well as meeting stricter environmental regulations. Innovation and the use of technology play a key role in addressing these and in shaping the future of mining. This webinar will explore how simulation and advanced technologies such as digital twins, machine learning and Internet of things (IoT) can help mines increase productivity, reduce costs, and improve safety. You will hear from industry leaders and technical experts on how Altair’s solutions can be used for efficient development and operation.

The Mining industry faces a lot of challenges and remains under high pressure to control costs, improve operational efficiency as well as meeting stricter environmental regulations. Innovation and the use of technology play a key role in addressing these and in shaping the future of mining. This webinar will explore how simulation and advanced technologies such as digital twins, machine learning and Internet of things (IoT) can help mines increase productivity, reduce costs, and improve safety. You will hear from industry leaders and technical experts on how Altair’s solutions can be used for efficient development and operation.

The Mining industry faces a lot of challenges and remains under high pressure to control costs, improve operational efficiency as well as meeting stricter environmental regulations. Innovation and the use of technology play a key role in addressing these and in shaping the future of mining. This webinar will explore how simulation and advanced technologies such as digital twins, machine learning and Internet of things (IoT) can help mines increase productivity, reduce costs, and improve safety. You will hear from industry leaders and technical experts on how Altair’s solutions can be used for efficient development and operation.

Discover how data transformation tools perfectly compliment RPA processes to free up human capital, prevent lost revenue, and ultimately maximize your investment. If you work with a large amount of data and are interested in learning more about RPA, or you currently have a RPA process in place, then this webinar is perfect for you. In partnership with AmdoSoft Systems, we demonstrated: - How data prep and RPA can be combined to increase productivity and agility - How to clean and format your data for maximized bots consumption - How our solutions eliminate siloed usage and error-prone manual tasks

Discover the benefits and ease of adopting machine learning into your data strategy with Altair Knowledge Studio. This webinar is perfect for anyone getting up to speed on implementing and using ML/AI – regardless of skill level or industry. During this webinar, we covered the following: - Getting started with machine learning (ML) and artificial intelligence (AI) and best practices - Applying and automating no-code ML modelling - Understanding responsible, explainable AI (XAI) capabilities - Going from predictive to prescriptive analytics to make smarter business decisions

How can we take a step back from our current processes and improve them with new Machine Learning tools, or just clever reporting? In this session, our in-house solutions expert Alyson Kelley discussed how to monetize your current processes by: - Understanding current trends in data analytics - Creating strategic alliances within your organization - Taking advantage of partnerships with current vendors

Fraud impacts everyone—from individual consumers to large corporations. Traditional rules-based systems may have been effective in the past in identifying fraud, but they become ineffective and stale as fraudsters learn how to bypass those rules. It becomes even more challenging due to the large volumes of data that need to be processed and examined to detect fraud, in addition to the constantly changing tactics for committing fraud – those activities are usually hidden in large volumes of data. Recently developed machine learning techniques are increasingly effective in detecting fraud with the advances in data systems (e.g. big data, streaming data) and computational systems (e.g. high-performance computing, GPU). As a result, it is possible to identify fraudulent patterns of behavior in data that is constantly being captured from day-to-day activities. In addition, it is feasible to address the challenges associated with fraudsters changing their tactics.

Data science and AI are game-changing technologies for engineering and manufacturing companies. To embrace the need of today and the future for self-service data science and analytics in manufacturing, we need more data engineers to make this all possible.
At Altair, we envision a future where engineers are well equipped to apply data science techniques to derive powerful predictive analysis that transforms the way they operate. There are a plethora of applications for data science in manufacturing - from product design, supply chain optimization, and fault prediction, and preventative maintenance to demand forecasting, and quality assurance. By bridging the gap between the data scientist and engineering roles, your organization can breakdown data silos and extract actionable insights to drive real business value.
The movement has just started. Watch our on-demand webinar to learn more.

Empower your analysts and organization to optimize the audit preparation process with Monarch. Preparing for and conducting an audit can be a labor-intensive, cumbersome, and error-prone process. However, it doesn’t need to be that way. By leveraging Monarch, analysts and organizations can leverage their disparate data sources in a no-code environment to optimize audit readiness.

Mortgage Servicers using Black Knight face significant challenges around quickly and cost-effectively accessing lending and prepayment risk. Mortgage Servicers rely on the client and transactional data to evaluate pre-payment risk and execute on investor reporting, loss analysis, and servicing transfers. On platforms like Black Knight MSP, that data is either trapped in static reports or accessible through costly add-ons like BDE. The Altair Mortgage Suite serves as a complement to the mortgage servicing platform by transforming reports into tabular data, applying machine learning, and presenting the data in a visual, easy-to-interpret fashion. Come join our in-house expert with two decades of experience in mortgage servicing Joe Lovati to learn how the Altair Mortgage Suite can bring efficiency to your processes.

Get more out of Excel, with less effort. As Excel users ourselves, we understand that there can be some frustration around Excel’s ability to handle the type of analysis we’d like to do. Recently, publications like Forbes and the Wall Street Journal have written articles, commenting on Excel’s shortcomings for analysts. Watch our in-house expert Llewellyn Wells as he shows how you can overcome these limitations with self-service data preparation.

The ever-changing worlds of manufacturing and data analytics are now converging—and this intersection will soon greatly influence process management and quality engineering. Yet at all levels, quality professionals are grappling with the what and how of integrating data analytics. Altair Data Analytics recently partnered with ASQ to bring you a forward-looking discussion on data analytics, featuring special guests Sony Pauly (Technical Director—Northeast) and Dr. Tom Zougas (VP Worldwide Data Analytics Services) from Altair.
Listen as they discuss the questions and definitions that matter:

• What does “data analytics in quality and manufacturing” entail?
• What is smart manufacturing, or Industry 4.0?
• How will the shift from preventive to predictive impact quality professionals?
• How does data analytics impact anomaly detection, root cause analysis, predictive maintenance, and warranty analytics?

Analytics Maturity Models have been around for 15 years, used by analyst firms and businesses across industries globally. But confusion remains about where exactly organizations place themselves on the continuum. Chris Long, VP of Worldwide Data Analytics Solutions Specialists—who was part of the original team at SAS that came up with the Analytics Maturity Model idea—shared his valuable perspective on its many iterations, and its application in 2021 and beyond. Take an insider’s look at the questions that need to be asked to truly figure out where you stand: -What are the most common misconceptions regarding the Analytics Maturity Model? -How can you verify where you are on the model? -What are the actions that we’ve seen clients take to level up on the model?

Mapping out an achievable digital transformation strategy is often hampered by poor or inaccessible data or the inability to access key data sources. Altair’s innovative approach to analytics helps avoid widespread pitfalls commonly encountered when attempting to operationalize large amounts of disparate data to solve for complex problems. Mike Rowley, Sr. Director - Data Analytics Solutions Marketing, hosts a lively discussion on common analytic limitations and opportunities associated with digital transformation. This webinar will map out the data and digital transformation journeys and highlight specific areas of focus for optimal results: -New developments in the world of digital transformation -Most common challenges with data transformation today -Centralizing and governing curated and audited datasets -Trackable, transparent changes in data models and workflows

How can you use the disruptions and lessons learned from this year to make meaningful change to your relationship with data? The catalyst for change can be jarring as we’ve all experienced this year. Inefficiencies within processes can be amplified as soon as working conditions change, but rather than seeking the status quo or returning to the way things were, can we use this time as an opportunity to improve processes or introduce needed supplemental analytics to pre-existing processes to move into 2021 healthier than 2020? During this webinar we'll discuss: -Identifying existing constraints, both tangible and perceived -Centralized vs. Decentralized Processes: how do we ensure agility and governance? -Offensive vs. Defensive Strategies for Data Trends in the industry and how to get ahead

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

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.

Watch this OnDemand Data Analytics Webinar to learn how Altair Monarch can help Procurement and Finance team improve their data efficiency and automate their data preparation.

The first step in any data preparation process is accessing the data itself but not all data is easily attainable. Learn how Monarch can expedite the data extraction process from virtually any source, from your tabular databases to your local drives, and how to get consistent results. With a wide variety of data comes a wide variety of challenges. Monarch has the ability to meet the individual challenges presented by each data source by catering to that type and giving the end-user the option on how they would like to interact with it. Once your data is imported and cleaned, learn how you can manage your exports to push the data exactly where it needs to go, in the format it needs to be in.

The newest release of Monarch makes it even easier to build or adjust your models using our Data Prep Studio. From our improved engine version to automatically align your messy data to our Hit Map and Report Verify to ensure your data is being captured correctly, building models with DPS has never been easier. Data Prep Studio not only improves the way end users now capture data, but it also changes the methods and how we think about modeling. Having the DPS fully integrated means you can spend less time capturing data and more time gaining insight from it. Our experts show you some of the ways we’ve improved the data capturing process in this Monarch Spotlight Series session.

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.

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.

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

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”.

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.

Not all data are created equal - learn how to leverage Monarch's Calculated Fields feature to create dynamic functions to apply to your entire data sets. Our Solutions Specialist, Joseph Alvarez, shows you some of the tips and tricks on how to get the most of out your data.

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.

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.

Siloed Data doesn’t have to stay that way. Combine data sets from virtually any location or format with Monarch to create uniformed, consistent outputs ready for analytics. Joins are an integral part of creating a unified view of all of your data in a single place. With Monarch, we’ll show you how you can perform Standard Joins, Lookups, and Negative Joins to create the output you’re looking for without the need to code or script.

Monarch has been the leader in self-service data preparation for over 30 years. With our newest release, we’ve made even your most difficult data prep challenges even simpler.
With the inclusion of Worksheet Design, we can now take your structured, formatted spreadsheets (for example, Microsoft Excel or Google Sheets) and simplify the extraction of the data with a few clicks. We’ve also upgraded our PDF engine to make even the most unruly PDFs a snap to trap.

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