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Strategic Transformation: First Data, Then Digital

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 in 2021
- Most common challenges with data transformation today
- Centralizing and governing curated and audited datasets
- Trackable, transparent changes in data models and workflows"
Recorded Aug 4 2021 33 mins
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Presented by
Mike Rowley: Senior Director, Solutions Marketing, Data Analytics and Machine Learning, Altair
Presentation preview: Strategic Transformation: First Data, Then Digital

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  • Enhancing Your RPA Investment With Data Preparation Sep 29 2021 3:00 pm UTC 52 mins
    Mammet Dovgeldiyev, Co-Founder & CEO, BankRPA | Baba Majekodunmi, Solutions Consultant, Banks & Credit Unions, Altair
    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.

    Watch us discuss the role of data preparation in RPA and how a modern data strategy entails:

    ● Streamlining and formatting data for efficient RPA processes
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  • Support Lending Decisions and Minimize Risk Using Scorecards Sep 22 2021 3:00 pm UTC 45 mins
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    How do you define and minimize risk in uncertain times? The simple, transparent and easily explainable modeling technique of scorecarding can help to support credit decisions such as scoring new lending applications, changes in credit limits, over-limit approvals on transactions, etc.

    In today’s rapidly evolving world, a solution that allows for the refreshing and reusing of scorecard development workflows in minutes—without the need to write code—is crucial.

    During this webinar, learn how easy it is to:

    ● Select the most predictive variables for best scorecard performance
    ● Automate and optimize binning
    ● Develop, validate, deploying and monitor customer strategies with Strategy Trees and other predictive analytical models
  • Data Transformation and RPA: How to Streamline Your Data Process Recorded: Aug 27 2021 50 mins
    David Griffith, Managing Director, AmdoSoft Systems | Ben Thomas, Senior Solutions Specialist, Altair
    Altair Data Analytics is partnering with IT automation provider AmdoSoft Systems to deliver the benefits of advanced data transformation in scalable, enterprise-level RPA operations with proprietary b4 Bots technology.

    Watch as we demonstrate the powerful combination of data transformation and RPA to automate tedious and time-consuming manual processes, so you can increase efficiencies and focus on the strategic tasks that matter.

    ● Learn how RPA and data transformation can complement or improve existing processes that can increase productivity and agility and reduce error rates
    ● See how you can easily combine, join, and clean disparate data from structured and unstructured sources for further analysis
    ● Understand how to operationalize RPA to eliminate error-prone manual workflows, with a special focus on managing insurance claims

    This webinar is perfect for Project Managers, Business Analysts, Database Administrators, non-Data Scientists, and anyone working with a huge amount of data.
  • Panel Discussion: Enhancing Your RPA Investment with Data Preparation Recorded: Aug 27 2021 28 mins
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    The recording of this panel discussion aired at Future.AI in June 2021, and is about 28 minutes long.
  • Increasing the Value of Your Data: Getting Started with Machine Learning Recorded: Aug 26 2021 49 mins
    Harrison Murphy: Director of AMER Data Analytics Solutions, Altair
    Are you ready to take the next leap in your digital transformation journey? Forward-looking organizations are making the cultural shift to secure, data governance frameworks that make data more reliable, accessible, and compliant across their business. As digital disruption accelerates, the need to focus on smarter, agile, collaborative, and scalable data analysis strategy and technologies is imperative.

    This webinar will highlight the business benefits and ease of adopting machine learning into your data strategy with Altair Knowledge Studio.

    During this webinar, we cover the following:

    ● Getting started with machine learning (ML) and artificial intelligence (AI) and best practices
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    This webinar is geared towards Data Scientists, Citizen Analysts, Business Leaders, and anyone getting up to speed on implementing and using ML/AI – regardless of skill level or industry.
  • Building AI Foundations with Data Transformation | Future Says Series Recorded: Aug 26 2021 51 mins
    Georg Von Zedwitz-Liebenstein: Information & Analytics Lead at Scania Financial Services
    In the final episode of the Future Says series (https://web.altair.com/futuresays), we discuss the importance of preparing data for Artificial Intelligence (AI) and Machine Learning (ML), as well as why it's crucial for organizations to embrace data transformation.

    High quality data keeps businesses healthy. It is what supports truly transformational business decisions. All organizations need to be able to trust their information and implement proper data and AI foundations. 

    During this episode, we discuss: 

    ● Why it is important to have a solid data infrastructure 
    ● Why you need clear ownership of data within organizations 
    ● Why it is important to define what good looks like when it comes to data quality
  • Ethical AI and the Responsible Use of Data | Future Says Series Recorded: Aug 19 2021 51 mins
    Aiko Yamashita: Senior Data Scientist at CoE Advanced Analytics, DNB Bank
    Episode 1 of the Future Says series (https://web.altair.com/futuresays) features an in-depth interview on the responsible and ethical use of data, AI, and technology with Aiko Yamashita, Senior Data Scientist at the Centre of Excellence, DNB Bank. Explore the risks and rewards of adopting a digital-first approach.

    During this episode, we discuss:

    ● Why failure to operationalize an ethical AI strategy is a distinct threat to organizational bottom lines and reputations
    ● Why requirements for due diligence and reporting on AI are only going to be increasing in importance
    ● Why energy use is a relevant ethical value when reporting on AI

    Throughout the Future Says series, industry leading figures will be sharing their unique experiences leveraging data and insights in our rapidly evolving, digital world. Brought to you by Altair, we'll be shining a light on the complex data challenges organizations are increasingly encountering and starting the debate on how to move #OnlyForward.
  • Strategic Transformation: First Data, Then Digital Recorded: Aug 4 2021 33 mins
    Mike Rowley: Senior Director, Solutions Marketing, Data Analytics and Machine Learning, Altair
    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 in 2021
    - Most common challenges with data transformation today
    - Centralizing and governing curated and audited datasets
    - Trackable, transparent changes in data models and workflows"
  • Innovative Tools for the Next Generations data scientist Recorded: May 25 2021 58 mins
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    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.

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    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.
  • Achieve Optimized Trading Analytics and Risk Monitoring in Real-time Recorded: May 25 2021 42 mins
    Hughes Allard de Granmaison & Aurelien Decros
    In this webinar, we discuss the benefits of analyzing intraday trading risk and performance, the downsides of waiting for end-of-day reports, and the challenges associated with building and using risk compliance dashboards that traders and compliance managers can use effectively to inform trading decisions. We will also demonstrate methods for code-free development of sophisticated Real-Time analytics systems that can be customized to fit the unique requirements of a firm, desk, or trader.
  • Support Lending Decisions and Minimize Risk Using Scorecards Recorded: May 25 2021 45 mins
    Alyson Kelley: Senior Solutions Specialist, Data Analytics, Altair
    How do you define and minimize risk in uncertain times? The simple, transparent and easily explainable modeling technique of scorecarding can help to support credit decisions such as scoring new lending applications, changes in credit limits, over-limit approvals on transactions, etc.

    In today’s rapidly evolving world, a solution that allows for the refreshing and reusing of scorecard development workflows in minutes—without the need to write code—is crucial.

    During this webinar, learn how easy it is to:

    ● Select the most predictive variables for best scorecard performance
    ● Automate and optimize binning
    ● Develop, validate, deploying and monitor customer strategies with Strategy Trees and other predictive analytical models
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  • Financial Fraud Mitigation with Data Analytics Recorded: May 25 2021 61 mins
    Alyson Kelley, Senior Solution Specialist, Altair | Julian Jerzerick, Senior Solution Specialist, Altair
    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.

    During this webinar, our experts explore:

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    アルテアエンジニアリング株式会社 及川 恵一朗/ Oikawa Keiichiro
    金融機関をはじめとした日本企業では、テクノロジーを活用したデジタル変革(DX)による業務効率化が急務となっています。

    本セミナーでは、テキストやPDFファイル等の自動データ化、高度な予測分析と機械学習、ストリーミングデータとリスクの可視化など、人的作業によるオペレーショナルリスクの軽減、データプレパレーション作業の短縮など、業務効率化を実現するソリューションをご紹介します。
  • キャッシュレス決済不正利用ケースから考える 新たな不正パターンに追随する不正利用予測検知 ~機械学習の予測モデルを取り入れたリアルタイムモニタリング~ Recorded: May 3 2021 39 mins
    アルテアエンジニアリング株式会社 妹尾明 / Senoo Akira
    キャッシュレス決済サービスの急速な普及に伴い、悪意のある第三者からの不正アクセスおよび、なりすましによる不正取引や不正出金に、新たなパターンが次々と出現しています。従来のルールベースに基づく不正検知システムではますます多様化する不正手口に対応しきれません。

    本講演では、機械学習ツールKnowledge Studioを使いGUI操作で作成した不正利用の予測モデルをリアルタイム可視化ツールPanopticonと連携させ、利用状況をモニタリングするユースケースをご紹介いたします。
  • Altair Monarch: Data Preparation for Excel Users Recorded: Apr 29 2021 54 mins
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    Get more out Excel, with less effort. As Excel users ourselves, we understand that there can be some frustration around spreadsheet'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.

    We will be leveraging Altair® Monarch®, our market leading desktop-based self-service data preparation solution. Monarch connects to multiple data sources including structured and unstructured data, cloud-based data, and big data. Connecting to data, cleansing and manipulating data requires no coding.

    Monarch can quickly convert disparate data formats into rows and columns for use in data analytics. Over 80 pre-built data preparation functions mean data preparation tasks can be completed quickly and error free. More time is spent on generating value from data as opposed to making data usable to begin with.
  • Transform Your Financial Processes with Altair Data Analytics Recorded: Mar 16 2021 58 mins
    Dr. Shidan Murphy, Director of APAC Solutions Specialists, Data Intelligence, Altair
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    Find out how you can extract data from multiple data sources, preparing the data and then automate your finance reporting in a matter of minutes with Altair Data Analytics.
  • Enhancing Your RPA Investment With Data Preparation Recorded: Mar 16 2021 52 mins
    Mammet Dovgeldiyev - Co-Founder & CEO, BankRPA | Baba Majekodunmi - Solutions Consultant, Banks & Credit Unions, Altair
    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.

    Watch us discuss the role of data preparation in RPA and how a modern data strategy entails:

    ● Streamlining and formatting data for efficient RPA processes
    ● Achieving a better balance between self-service and data governance
    ● Ensuring increased assurance with data quality
Only Forward
Altair is a global technology company that provides software and cloud solutions in the areas of data analytics, simulation, and high-performance computing (HPC).

Altair data analytics enables people of all skill levels to access, generate, and use smart data to make insightful, informed decisions.

Our solutions are designed so that people who work with data can partner with business teams to collaboratively generate and share insight. No code data transformation and machine learning from Altair reduces the complexities often encountered in data analytics. We eliminate the need for specialized programming knowledge and democratize the analytics process. As a result, people across the business can leverage the value of insightful analytics.

To learn more, please visit https://www.altair.com/data-analytics.

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  • Live at: Aug 4 2021 3:00 am
  • Presented by: Mike Rowley: Senior Director, Solutions Marketing, Data Analytics and Machine Learning, Altair
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