GRIT Ed. 11 | 5G, Web3, NFTs... - Magazine - Page 33
Patrick Murphy, CEO of Maket, is
revolutionizing the architectural industry
through the integration of generative AI
into the early-stage planning process.
PATRICK MURPHY
ON MACHINE LEARNING, E-COMMERCE &
EMPOWERING RETAILERS WITH AI
CEO
MAKET
Next AI
2021
Linkedin.com/in
/PatrickMurphy/
An alumnus of Next AI’s 2021 program, Murphy is pushing the boundaries
of architectural design with a cutting-edge platform that streamlines
schematic design, expands creative exploration, and simplifies regulatory
compliance.
Revolutionizing the Architectural Industry with AI
Maket leverages generative AI to empower architects, designers, builders,
contractors, and developers with tools for automated floorplan generation,
style exploration, and design customization. “Our Plan Generator uses AI
algorithms to instantly create customized floorplans based on user-defined
design requirements, allowing for greater creativity and efficiency in the
design process,” said Murphy.
Speeding Up the Design Process
According to Murphy, Maket’s use of generative AI has had a transformative
impact on the architectural industry. “Our generative AI enables the rapid
creation of architectural floorplans, reducing the time traditionally spent on schematic designs. Architects and designers
can generate hundreds of design variations in minutes, streamlining the early-stage planning process,” he explained.
Tailoring AI for the AEC Sector
One of the major challenges in implementing generative AI technology in the architectural industry has been adapting
generative models to the unique needs of the architecture, engineering, and construction (AEC) sector. Murphy and his
team have overcome this challenge by investing heavily in research and development, creating and refining AI models
specifically designed for the AEC sector.
Triumphing Over Challenges
Celebrating Success
Generative AI represents
a paradigm shift that
will accelerate creativity,
reshape the future of
work, drive innovation in
key sectors, & transform
education.
and
In the last six months, SnapWrite AI’s biggest
challenge has been meeting the growing demand
from various e-commerce segments. The company
has automated internal processes and expanded
its team to tackle this. With SnapWrite AI’s help,
resellers and merchandisers have seen their
product documentation process speed up by up
to 10 times and have experienced improved search
functionality and product recommendations on
their websites.
What Everyone Should Know About
Machine Learning
Rastogi defines machine learning as “a computer
technology that allows machines to learn patterns
and make predictions.” She explains that machine
learning can help e-commerce brands enhance
customer experience, make informed decisions,
and gain a competitive edge. For the average
person, machine learning can simplify life by
providing everyday predictions.
As SnapWrite AI continues to harness the potential
of machine learning, the e-commerce industry is set for remarkable advancements in personalization, supply chain
optimization, and overall efficiency.
SPRING 2023
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