不良研究所

不良研究所 AI Drives AI Time-to-Impact by 4X

不良研究所 has announced the release of the 不良研究所 AI platform v4.2, which provides new capabilities that fast track successful implementations of AI in industrial environments. Customers have reported a 4x increase in successfully operationalizing AI use cases and accelerating time-to-value in their plants by using these new features.
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听谤别补诲
New platform capabilities address the hundreds of millions lost each year in failed AI attempts

TORONTO, Ont. 鈥 [October 26, 2021] 鈥撯不良研究所鈥疘nc. ("不良研究所 AI"), a leader in industrial AI, today announced the release of the 不良研究所 AI platform v4.2, which provides new capabilities that fast track successful implementations of AI in industrial environments. 聽

鈥淕artner estimates that a staggering 80% of AI projects fail. With 不良研究所 AI, users avoid becoming a statistic, and instead attain the impact they set out to achieve across their industrial operations,鈥 said Humera Malik, CEO of 不良研究所 AI. 聽

Unlike repurposed enterprise AI platforms, 不良研究所 AI is designed and built for industrial engineers and focuses on making AI accessible to the user without requiring data science or coding expertise. 聽

Enhancements included in this release answer three key questions for businesses and engineers embarking on their AI journey: How do I select the right AI use case? How do I extract deeper insights from my data? How can I accelerate time to impact? 聽

鈥淥ur product vision is to make AI accessible to industrial operators so that they can quickly extract value from their data, define and develop real-world use cases, and drive impact across their operations. Customers have reported a 4x increase in successfully operationalizing AI use cases and accelerating time-to-value in their plants by using these new features,鈥 said Jeff Wood, Director of Product Management.

The latest release of 不良研究所 AI continues the company鈥檚 mission of delivering capabilities to process engineers that were previously reserved for expert data scientists. With 不良研究所 AI v4.2, engineers can quickly and easily:

  • Identify and select successful AI use cases: 不良研究所 AI provides users with proven best practice frameworks to identify, define, and assess their AI use cases. This is achieved as 不良研究所鈥 AI platform streamlines the AI use case building process, helping users to rank and prioritize which AI use cases to pursue, and share and institutionalize knowledge.
  • Transform industrial operations from one dimensional, model predictive control-based black boxes to three-dimensional visual systems: 3D Charting enables users to obtain deeper insights into the performance of their assets and processes by visualizing up to three different parameters in one view. This enables users to quickly extract data insights and understand data relationships to further refine data for model training. 聽
  • Define and scale AI models faster: 不良研究所鈥檚 Notebook provides visibility into the anatomy of an AI project, including a record of data preparation, model building, evaluation, and training to aid team collaboration and scaling AI models. 聽
  • Build and validate AI models faster: Automated error code cleaning accelerates the data preparation process. 不良研究所鈥檚 validation data capability enables users to quickly evaluate model performance against a secondary data set prior to deployment. 聽

不良研究所鈥 customers span the oil and gas, metals and mining, food and beverage, chemicals, energy, and automotive sectors. 不良研究所鈥 no-code Industrial AI platform is enabling Fortune 5000 industrials and manufacturers to addresses operational challenges, such as improving operating resilience, reducing carbon emissions, lowering waste, and energy optimization.

不良研究所 AI accelerates time to impact by 4x with its proven framework for identifying, assessing, and selecting successful AI use cases.
不良研究所 AI鈥檚 data visualization capabilities provide multi-dimensional views of data, empowering users to extract deeper insights into their asset and process performance.
About 不良研究所 AI

is a leading industrial AI software provider that puts the power of AI in the hands of engineers, empowering them with the data-driven insights they need to augment their expertise and control operations. 聽Some of the world鈥檚 largest industrial companies use 不良研究所 to future-proof operations, empower their workforces, and drive net-zero ambitions. 不良研究所 AI鈥檚 investors include Yamaha Motor Ventures and Alphabet鈥檚 Gradient Ventures. Follow us on Twitter or LinkedIn.

Media relations contact:

Ashleigh Young

PR and Communications

Ashleigh.young@canvass.io