Today, top-level executives are investing for AI in manufacturing industry to improve operational efficiency, productivity, performance. From achieving significant cuts in downtime to generating better-designed products and improving the safety of employees, AI is truly evolving manufacturing.
In a Forbes Insights Survey on Artificial Intelligence, 44% of respondents from the automotive and manufacturing sectors classified AI as “highly important” to the manufacturing function in the next 5 years, while almost half, 49% said it was “absolutely critical to success.”
According to markets and markets, Artificial Intelligence in the manufacturing market is expected to grow from USD 1.0 billion in 2018 to USD 17.2 billion by 2025.
The latest report, “Artificial Intelligence in the Manufacturing Market,” provides key insights and provides a competitive advantage to clients through a detailed report.
The report contains 184 pages that showcase the current market analysis scenarios, prospects, prospects, revenue growth, price, and profitability.
The unique data provided in this report is collected by a team of research and industry experts.
The report spans 184 pages, profiling 10 companies and supporting 61 tables and 48 statistics.Key Players — NVidia Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), AWS (US), Site Machine (US), Siemens AG (Germany), and General Electric Company (US).“Hardware segment that sees the highest growth rate among other offerings in the forecast period”The growing need for high computing power platforms to run various AI software will accelerate the growth of hardware devices in the manufacturing market.
The AI processor in the manufacturing market is segmented based on hardware in memory and network.
North America has a large presence of major companies contributing to the AI sector and has made the region a major market for AI hardware.“Machine learning to have the largest market after computer vision in AI manufacturing market”Its ability to collect and manage big data and its applications in various manufacturing applications, such as manufacturing analytics and machine inspection, quality control and cybersecurity, is fueling its growth.
AI is now a fairly developed technology.
It finds widespread use in multiple industries, like gaming, banking, commercial, retail, and government applications as well.
AI-driven machines are now creating the future of our convenience – they offer new opportunities and enhance efficiencies in production.Industrial Revolution 4.0 as it is called creates a stronger digital economy on the backbone of automated tasks, which allows it to reconfigure how people and machines interact with each other and collaborate to create the world as we experience it.
The first thing we think of when we think of AI is not how it can provide complex decision making in the manufacturing industry, or how it can solve issues related to information overload.
But it’s all happening, and the manufacturing industry is set to experience some of its biggest changes yet!
Robots can keep on doing the same activity over and over again, without getting tired or increasing the scope of error as time progresses – thus they are able to provide very high levels of quality assurance.Round the Clock ProductionRobots do not have the same human limitations that human workers have and can continue to work throughout the night as well as the day.
The whole point of using AI to enhance customer service is to make the customers feel recognized and respected.
Weak AI is going to have the opposite outcome every time.Read Full Article - https://bit.ly/2NPIv50
Mobile apps are continually upgraded and artificial intelligence is powering this evolution as more intuitive apps enter the market.
AI’s adjustable quality and learning capabilities allow businesses to satisfy the needs of customers while creating a personalized experience for every user.
Let’s look at how AI will change the world of mobile app development in this article.
If you're about to work on an Artificial Intelligence project and have still not decided about which programming language to use, here's a cue.
We've listed the six most common programming languages to facilitate Artificial Intelligence projects.