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Submission: On August 23 via api from US
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<h1 class="page-title"> Data Analytics and Artificial Intelligence (AI) </h1>
<p>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.</p>
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<h2>Operationalize Your Data and AI</h2>
<p>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.</p>
<p>Altair Data Analytics enables organizations to operationalize data analytics and AI with secure, governed, and scalable strategies.</p>
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<h2>AI-powered Design</h2>
<p>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.</p>
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<h2>Data Transformation</h2>
<p>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.</p>
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<h2>Predictive Analytics and Machine Learning</h2>
<p>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.</p>
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<h2>Data Visualization and Stream Processing</h2>
<p>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.</p>
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<h1> Make Data-driven Decisions </h1>
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<h2 class="mb-0"> Featured Resources</h2>
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<h3 class="RL-card-heading">Guide to Using Data Analytics to Prevent Financial Fraud</h3>
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<p style="overflow-wrap: break-word;">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. </p>
</div>
<div class="RL-card-category">eBooks</div>
<a href="https://www.altair.com/resource/guide-to-using-data-analytics-to-prevent-financial-fraud" class="RL-overlay"></a>
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<h3 class="RL-card-heading">Ford Enhances Manufacturing Efficiency </h3>
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<p style="overflow-wrap: break-word;">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.</p>
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<div class="RL-card-category">Customer Stories, Use Cases</div>
<a href="https://www.altair.com/customer-story/ford-enhances-manufacturing-efficiency" class="RL-overlay"></a>
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<h3 class="RL-card-heading">The Future of Self Service in Data & Analytics</h3>
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<p style="overflow-wrap: break-word;">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.</p>
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<h3 class="RL-card-heading">Enhancing Your RPA Investment With Data Preparation</h3>
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<p style="overflow-wrap: break-word;">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. <br> Discover how you can enhance your ongoing RPA investment with the
right data analytics stack. </p>
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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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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
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
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
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.
Learn More
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.
Learn More
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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