Groups Similar Look up By Text Browse About

Similar articles
Article Id Title Prob Score Similar Compare
209384 VENTUREBEAT 2021-6-9:
The pandemic led to ‘significant’ increase in AI adoption across manufacturing, survey finds
1.000 Find similar Compare side-by-side
209408 ZDNET 2021-6-9:
Manufacturers allocate one third of overall IT spend to AI, survey shows
0.957 0.801 Find similar Compare side-by-side
209484 TECHREPUBLIC 2021-6-9:
Google Cloud: COVID-19 accelerates AI use by manufacturers
0.955 0.798 Find similar Compare side-by-side
209683 VENTUREBEAT 2021-6-10:
Lack of AI implementation may have cost enterprises $4.26T, Signal AI finds
0.529 0.529 Find similar Compare side-by-side
210007 VENTUREBEAT 2021-6-11:
AI Weekly: AI helps companies design physical products
0.013 0.494 Find similar Compare side-by-side
209580 VENTUREBEAT 2021-6-9:
How edge AI can make enterprises more agile
0.192 0.489 Find similar Compare side-by-side
209809 ZDNET 2021-6-10:
Biden administration forms new AI task force
0.032 0.458 Find similar Compare side-by-side
209441 VENTUREBEAT 2021-6-8:
Government and business can develop an ethical AI future together, KPMG study finds
0.241 0.454 Find similar Compare side-by-side
210000 VENTUREBEAT 2021-6-11:
AI ‘dominated scientific output’ in recent years, UNESCO report shows
0.033 0.448 Find similar Compare side-by-side
209807 ZDNET 2021-6-10:
Industrial AI pioneer partners with analytics upstart Snowflake
0.003 0.445 Find similar Compare side-by-side
209679 VENTUREBEAT 2021-6-11:
Transform 2021 puts the spotlight on women in AI
0.004 0.438 Find similar Compare side-by-side
210010 VENTUREBEAT 2021-6-11:
10 steps to educate your company on AI fairness
0.009 0.416 Find similar Compare side-by-side
210009 VENTUREBEAT 2021-6-11:
Can we afford AI?
0.007 0.404 Find similar Compare side-by-side
209369 VENTUREBEAT 2021-6-9:
The future of AI in finance is here: Reducing the cost of accuracy
0.160 0.385 Find similar Compare side-by-side
209819 TECHREPUBLIC 2021-6-10:
Employees are burnt out and delayed promotions aren't helping
0.361 Find similar Compare side-by-side
210014 VENTUREBEAT 2021-6-12:
How stakeholder capitalism and AI ethics go hand in hand
0.358 Find similar Compare side-by-side
209453 TECHREPUBLIC 2021-6-9:
80% of drivers still don't trust an autonomous pilot at the wheel
0.358 Find similar Compare side-by-side
210116 ZDNET 2021-6-12:
Customer experience now the top technology priority, but organizations aren't quite ready
0.351 Find similar Compare side-by-side
209778 VENTUREBEAT 2021-6-10:
AI Hardware Summit: Must-Attend AI Event Releases Agenda Ahead of its Return to Face-to-Face in Silicon Valley
0.006 0.350 Find similar Compare side-by-side
209573 VENTUREBEAT 2021-6-7:
Mythic launches analog AI processor that consumes 10 times less power
0.336 Find similar Compare side-by-side
209454 VENTUREBEAT 2021-6-8:
IBM releases AI model toolkit to help developers measure uncertainty
0.336 Find similar Compare side-by-side
209477 VENTUREBEAT 2021-6-8:
Can AI and cloud automation slash a cloud bill in half?
0.334 Find similar Compare side-by-side
209761 VENTUREBEAT 2021-6-10:
Hiretual Launches Updates to Multi-Tiered Plans for Small and Growing Businesses
0.333 Find similar Compare side-by-side
209574 TECHREPUBLIC 2021-6-8:
"IT burden" and cybersecurity "trade-offs" take center stage in a new digital collaboration survey
0.333 Find similar Compare side-by-side
209823 TECHREPUBLIC 2021-6-10:
Researchers win $4.4 million in grants for projects using AI to take on climate change
0.331 Find similar Compare side-by-side


ID: 209384


Date: 2021-06-09

The pandemic led to ‘significant’ increase in AI adoption across manufacturing, survey finds

Elevate your enterprise data technology and strategy at Transform 2021. New research from Google Cloud and The Harris Poll reveals that the pandemic led to a significant increase in AI use across manufacturers. According to a survey of senior executives at over 1,000 companies, two-thirds of manufacturers that use AI in their day-to-day operations report that their reliance on AI is increasing, with 74% claiming that they align with the changing work landscape. According to a 2020 PricewaterhouseCoopers survey, companies in manufacturing expect efficiency gains over the next five years attributable to digital transformations. McKinseys research with the World Economic Forum puts the value creation potential of manufacturers implementing Industry 4.0 — the automation of traditional industrial practices — at $3.7 trillion in 2025. Seventy-six percent of respondents to the Google Cloud report say that theyve turned to disruptive technologies like AI, data analytics, and the cloud to help navigate the pandemic. Manufacturers told surveyors that theyve tapped AI to optimize their supply chains including in the management (36%), risk management (36%), and inventory management (34%) domains. Even among firms that currently dont use AI in their day-to-day operations, about a third believe it would make employees more efficient (37%) and be helpful for employees overall (31%), according to Google Cloud. Manufacturing is undergoing a resurgence as business owners look to modernize their factories and speed up operations. According to ABI Research, more than 4 million commercial robots will be installed in over 50,000 warehouses around the world by 2025, up from under 4,000 warehouses as of 2018. Oxford Economics anticipates 12.5 million manufacturing jobs will be automated in China, while McKinsey projects machines will take upwards of 30% of these jobs in the U.S. Ford is among the manufacturers using AI within its operations via a relationship with Google. Announced in February, the automaker plans to leverage Googles expertise in data, AI, and machine learning as a part of Team Upshift, a six-year partnership and collaborative group launching in 2023. Ford says the initiative will accelerate modernization of product development, manufacturing, and supply chain management, including exploration of using vision AI for manufacturing employee training and even more reliable plant equipment performance. [This] will supercharge our efforts to democratize AI across our business, from the plant floor to vehicles to dealerships, Bryan Goodman, director of AI and cloud at Ford, said in a statement. We used to count the number of AI and machine learning projects at Ford. Now its so commonplace that its like asking how many people are using math. This includes an AI ecosystem that is fueled by data, and that powers a digital network flywheel.'Automotive OEMs, automotive suppliers, and heavy machinery are among the top three subsectors deploying AI, with companies in metals, industrial and assembly, and heavy machinery seeing the highest uptick. The five dominant areas where AI is currently employed in manufacturing spans quality inspection (39%), supply chain management (36%), risk management (36%), production line quality checks (35%), and inventory management (34%). And manufacturers peg assisting with business continuity (38%), helping employees increasing efficiency (38%), and helping employees overall (34%) as the top reasons they leverage AI. But despite the uptick in deployment of AI in the manufacturing industry, barriers threaten to slow adoption. Twenty-five percent of respondents say that they lack the talent to properly use AI, while 23% say they dont have the IT infrastructure and over 20% say its too cost-prohibitive. Nineteen percent of manufacturers told Google Cloud that they consider AI an unproven technology, and 16% claim that they lack the necessary stakeholder buy-in, stymieing AI implementation efforts. The Google Cloud findings come after Alations latest quarterly State of Data Culture Report, which similarly discovered that only a small percentage of professionals believe AI is being used effectively across their organizations. A lack of executive buy-in was a top reason, Alation reported, with 55% of respondents to the companys survey citing this as more important than a lack of employees with data science skills. Even though some barriers exist, many companies believe they have the right IT infrastructure to successfully implement AI, the coauthors of the Google Cloud report wrote. As AI becomes more pervasive in solving real-world problems for manufacturers, we see a shift from pilot purgatory to the golden age of AI. The industry is no stranger to innovation — from the days of mass production to lean manufacturing, six sigma, and more recently, enterprise resource planning. And now, AI promises to deliver even more innovation.