Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

8 Ways Your Business Can Benefit From Machine Learning

With the rise of artificial intelligence solutions, machine learning is also growing rapidly in the world of business. Machine Learning is a subfield of artificial intelligence where algorithms are constantly learning and improving themselves. It’s able to do so by processing huge amounts of data. Just like the human brain, it can learn from observation…

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Grace Frenson · AiArtificial IntelligenceDecision MakingMachine Learning
Share
8 Ways Your Business Can Benefit From Machine Learning

Key takeaways

01

With the rise of artificial intelligence solutions, machine learning is also growing rapidly in the world of business.

02

Machine Learning is a subfield of artificial intelligence where algorithms are constantly learning and improving themselves.

03

It’s able to do so by processing huge amounts of data.

Get featured

Want to get featured in MarketScale Industrial IoT?

Create a free MarketScale workspace and get your company's expertise featured across our Industrial IoT coverage. No credit card, no demo required.

Request an invite

With the rise of artificial intelligence solutions, machine learning is also growing rapidly in the world of business. Machine Learning is a subfield of artificial intelligence where algorithms are constantly learning and improving themselves. It’s able to do so by processing huge amounts of data. Just like the human brain, it can learn from observation and make smarter decisions. The more data it has, the smarter it gets. 

Machine learning can help improve your processes and streamline your business in the wake of the COVID-19 pandemic. Here are 8 ways that your business can benefit from machine learning.

1. Accurate sales forecasts

Machine learning can analyze past customer behavior and make sales predictions based on it. As a business owner, no money goes wasted purchasing unnecessary inventory. They simply fill orders based on the amount forecasted by the machine. 

2. Better sales offers

Studying previous sales data can help machine learning technology to provide better recommendations to business owners. As a result, customers get the right offers at the right time. This means more sales without having to plan or bet on ads.

3. Simplified product marketing

Machine learning takes the guesswork out of marketing. By processing huge amounts of data, it can identify highly relevant variables that businesses may have overlooked. This allows you to create more targeted marketing campaigns that customers are more likely to engage with.

4. Automate time-intensive tasks

Data entry is one of the easier tasks for a business but because it’s so repetitive, it’s more vulnerable to errors. This can be avoided with the help of machine learning which not only processes data fast but also does it accurately. This allows skilled human employees to focus more on meaningful tasks and provide extra value to your organization. 

5. Spam detection

Email providers used to fight spam using rule-based programming. It remained problematic for a while since it did not properly catch all spam emails coming into inboxes. Machine learning today can detect spam more accurately using neural networks to get rid of junk and phishing emails. It does so by constantly identifying new threats and trends across the network. 

6. Smarter workplaces

Machine learning can produce smart assistants which can improve productivity in the workplace. For example, we now have intelligent virtual assistants who can transcribe and schedule meetings. 

7. Maintenance predictions

This is especially important for manufacturing firms where maintenance is completed regularly. failing to maintain equipment in a timely and accurate way can be very costly. With machine learning, factories can gain insights and patterns which might have been overlooked before. This reduces the chances of failure and increases productivity in manufacturing.

8. Real-time decision making

Your business can make more informed decisions with machine learning since it can process massive amounts of data in a short amount of time. All too often, entrepreneurs take weeks or months to create a meaningful marketing plan. Machine learning eliminates the guesswork and provides accurate insights into the business. This allows entrepreneurs to take actionable data and make decisions that can help the business succeed. 

Follow us on social media for the latest updates in B2B!

Twitter – @MarketScale

Facebook – facebook.com/marketscale

LinkedIn – linkedin.com/company/marketscale

Your experts belong here

Every story in MarketScale Industrial IoT starts with a company putting its controls engineers, plant-floor specialists, and integration partners on the record. Buyers are already reading this topic. The only question is whose experts they find.

Plant and controls buyers research deep before contact, and your engineers get to shape that research.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

GF
Grace Frenson

Follow Industrial IoT Insights

Get new expert content in your inbox.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Industrial IoT expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your controls engineers, plant-floor specialists, and integration partners into the articles, video, and social content Industrial IoT buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Industrial IoT Insights

Aligned plans Ohio AI campus next to retired Conesville power plant, with first capacity targeted mid-2026

Aligned plans Ohio AI campus next to retired Conesville power plant, with first capacity targeted mid-2026

Aligned Data Centers plans a 197-acre, multi-building AI data center campus in Ohio’s Conesville Industrial Park, adjacent to the former AEP Conesville Power Plant. GlobeNewswire says initial capacity is targeted for mid-2026 and that the first data center has a foundational customer.

  • 01GlobeNewswire says Aligned is targeting initial capacity delivery in mid-2026 for the Conesville campus.
  • 02The Conesville siting, next to the retired AEP Conesville Power Plant, is a concrete example of an AI campus placed on a power-adjacent brownfield industrial parcel.

Sep 6, 2026

A Micro LED chipmaker just raised nearly 100 million RMB, and lighting specs are getting stricter

A Micro LED chipmaker just raised nearly 100 million RMB, and lighting specs are getting stricter

VIJO (Suzhou) Optoelectronics Technology completed a financing round of nearly 100 million RMB to scale Micro LED optical chip production, according to LEDinside. In parallel, commercial lighting discussions are shifting from LED lifespan to intelligent drivers and smart control integration, as described in a sponsored Electronic Design QuickChat featuring Jameco Electronics and Mean Well USA. A Design World teardown of five 60 W-equivalent LED bulbs shows why operators can’t treat “LED replacement lamps” as interchangeable, with big differences in heat sinking, wiring, and driver topology that directly affect lumen maintenance, dimming, and serviceability.

  • 01Micro LED capacity is being financed now, which matters most for operators writing multi-year display and specialty lighting roadmaps, where qualified supply can become the schedule.
  • 02The teardown signal to carry into procurement is simple: two bulbs can share the same “60 W-equivalent” label while hiding completely different thermal and driver designs, and those differences are what drive field performance.
  • 03Controls and drivers are becoming the spec, not the chip. For projects that must integrate sensors or wireless controls, driver feature sets and thermal derating behavior belong in the submittal checklist.

Sep 2, 2026

Construction robots are starting to roll out like software, and Caterpillar knows the drill

Construction robots are starting to roll out like software, and Caterpillar knows the drill

Caterpillar is applying lessons from autonomous mining deployments to AI-driven construction and jobsite equipment. Meanwhile, Gravis Robotics has raised a $200 million Series A from SoftBank to scale autonomous heavy machinery globally.

  • 01Caterpillar is applying learnings from autonomous mining to its AI deployments in construction sites, quarries, and jobsites.
  • 02Gravis raised $200 million to advance its construction robotics innovations.
  • 03Defense procurement data shows LEO satellite communications like Starshield are being purchased at scale for distributed operations, illustrating why connectivity design matters for remote autonomy programs.

Aug 31, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

GF
Grace Frenson

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512