Next-generation Optimization for Manufacturers with Artificial Intelligence

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Next-generation Optimization for Manufacturers
with Artificial Intelligence
Last updated on June 7, 2021 Dash Technologies
Inc Artificial Intelligence, Manufacturing
lheíes no doubt that the manufactuíing sectoí is
leading the way in the application of aítificial
intelligence technology. Fíom making the most of
available time to impíoving the design of
píoducts, manufactuíeís aíe applying AI-poweíed
analytics to data to impíove píoductivity,
píoduct quality, and the safety of employees.
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How will AI Have an Impact on Manufacturing?

• lhe manufactuíing industíy has consistently been
  open to adopting new technologies. Remaíkably,
  díones and industíial íobots have been a paít of
  the manufactuíing industíy since the 1960s, and
  advancements in technology have been at the
  foíefíont of each industíial íevolution.
• With the adoption of AI, companies can keep
  inventoíies lean and íeduce oveíall cost. lhe
  good news foí manufactuíing is that as a íesult
  of the adoption of AI, theíe is high píobability
  the manufactuíing industíy will expeíience
  exponential gíowth. In oídeí to do so, companies
  in the manufactuíing industíy will need to geaí
  up netwoíked factoíies wheíe supply chain,
  design team, píoduction line, and quality contíol
  aíe vastly integíated into an intelligent engine
  that píovides actionable insights.
• Whats Driving the Urgency to Adopt
• AI?
• lheíe aíe a numbeí of díiving factoís that add to
  the uígency of adopting aítificial intelligence.
  A few of the main íeasons that the manufactuíing
  industíy is shifting its attention to AI
• Automating the process of finding cost savings
• Shortening production times
• Increased need for customized goods
• Managing high revenue instability
• Adapting to evolving compliance standards
• Since the beginning of the Fouíth Industíial
  Revolution (oí Industíy 4.0), automation of
  tíaditional manufactuíing píocesses using
  machine-to-machine (M2M) and the inteínet of
  things (Iol) has incíeasingly become the noím.
  With manufactuíing consistently evolving, the
  uígency to adapt has been fuelled like neveí
  befoíe.

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How Can AI Help Manufacturing?
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What does the Future Look Like for Manufacturing?

• lhe futuíe of manufactuíing looks píomising. With
  the abundance of solutions making the
  development píocess easieí on manufactuíeís,
  theíe aíe many AI- integíated advancements that
  will píovide solutions foí the issues
  manufactuíeís face today. lhe capabilities of AI
  integíations include
• The ability for machines to detect defects
  throughout the production process.
• The ability to deploy predictive maintenance to
  reduce downtime.
• Respond to real-time changes in demand across the
  supply chain.
• Validate whether intricate goods, like
  microchips, have been produced without error.
• Reduce costs of small-batch or single-run goods,
  enabling greater customization.
• Improve employee satisfaction by shifting routine
  tasks to machines.
• Foí yeaís, íobotics, advanced analytics, and
  automation have been a majoí paít of the
  manufactuíing industíy. lhe gíowing scale of
  adoption of AI in manufactuíing seems moíe like
  an evolution, íatheí than an industíy
  inteííuption. New and emeíging technologies aíe
  alíeady heíe and moíe massive implementation is a
  matteí of time.
• lo get the most out of an aítificial intelligence
  solution, manufactuíeís need to know which AI
  solution is best suited foí theií own unique sets
  of challenges.
• At Dash lechnologies, we make suíe ouí clients
  get the aítificial intelligence solutions they
  need. lo see how Dash can help you with youí AI
  development integíation, check out the seívices
  we can offeí youí business https//dashtechinc.co
  m/aítificial- intelligence-seívices/