In a move that reinforces its leadership in computational intelligence, Altair has released a comprehensive eBook featuring 100 real-world AI engineering use cases, aimed at showing how artificial intelligence is not just a futuristic add-on—but a necessity in modern product development.
Whether you’re in automotive, aerospace, healthcare, energy, or heavy machinery, the message is clear: AI is the new engine of innovation.
AI as Engineering’s New Backbone
Far from abstract theory, Altair’s eBook functions as a playbook for engineers and executives alike, offering practical guidance on integrating AI across the entire product lifecycle. From predicting battery degradation to optimizing airflow in aerodynamic models and powering real-time digital twins, the 100 examples illustrate how organizations are already using AI to:
- Reduce development costs
- Speed up time-to-market
- Improve product reliability and performance
- Enable smarter design decisions with data
“AI is no longer optional in product development and engineering—it’s essential,” said Sam Mahalingam, CTO at Altair. “We’ve built AI into the DNA of our tools and workflows so our customers can deploy these capabilities without friction. These use cases show how that translates into better business outcomes.”
From Insight to Implementation
Rather than a buzzword-heavy hype piece, the eBook is positioned as a reference guide and roadmap, especially for organizations either starting their AI journey or looking to scale intelligently.
Each use case links AI to a clear, measurable engineering outcome—something often missing in broader AI conversations. Whether it’s machine learning-powered materials discovery or AI-based fault prediction in heavy equipment, the focus is on actionable innovation.
Example: An aerospace manufacturer used Altair’s AI tools to cut simulation time by 40%, enabling more design iterations and better fuel efficiency.
That blend of domain-specific relevance and cross-industry applicability makes the eBook a strong resource for both engineering teams and business decision-makers looking for a competitive edge.
The Bigger Picture: AI Is Mainstream Now
Altair’s message comes at a time when AI adoption is surging across engineering sectors. According to McKinsey, over 50% of companies now use AI in at least one business unit. In product development, AI is rapidly being embedded in:
- Generative design systems
- Predictive maintenance workflows
- Supply chain simulations
- Digital twin ecosystems
And with increasing pressure to innovate faster, especially in sustainability-focused industries like EVs and renewable energy, AI has become not just a tool—but a strategic imperative.
Altair, already known for its robust simulation and analytics platforms, is staking its claim as a leader in AI-integrated engineering—and this eBook is a smart, content-rich way of backing that up.
For engineering firms, OEMs, and suppliers looking to de-risk AI adoption, this resource can act as a proof-of-concept gallery, showing what’s possible with today’s technology. It also reflects a larger shift: the convergence of data science and engineering, where AI moves out of isolated data teams and becomes embedded in core workflows.
The bottom line: if you’re still treating AI as an “experimental” add-on in product development, you’re already behind. This eBook might be the wake-up call.
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