11 Tech Experts On How Small Businesses Can Effectively Leverage Machine Learning

We hear a lot these days about how technologies such as artificial intelligence and machine learning are changing the ways businesses operate. Even casual followers of the technology industry have read stories about how household-name companies including Amazon, Google and IBM are using AI and ML for everything from tailored product recommendations to piloting autonomous vehicles to developing computers that can defeat chess champions and win TV game shows.

Entrepreneurs and small-business owners may think ML is a tool only “the big guys” can afford or use effectively; but there are plenty of ways even startups can use the technology to boost their odds of success, from predicting future purchases (just like the big guys do) to taking labor-intensive tasks off their team members’ plates. Below, 11 members of Forbes Technology Council share ways machine learning can help entrepreneurs and small-business owners and why they’re so effective.

1. Scoring And Prioritizing Leads

Machine learning can help small businesses better identify leads and provide valuable insights into them. ML can not only be used to “score leads” but also to provide insights on the probable time to close. This allows entrepreneurs to create better portfolios from their leads and prioritize them effectively, as you want to balance high-value leads in terms of those that will close “now” versus those that will need some nurturing. – Neerav Vyas, Capgemi

2. Eliminating Time-Intensive, Repetitive Tasks

Technology for the sake of technology is never a good idea. The pandemic has left workers burned out, and the labor shortage is real. Entrepreneurs and small businesses should look for AI/ML technology that helps eliminate the time-intensive, mundane tasks employees do so they can focus on higher-order work. This will keep productivity moving and keep employees motivated. – Prasad Ramakrishnan, Freshworks

3. Analyzing Data

Many entrepreneurs and small businesses do not have the budget for one data analyst, let alone a team of analysts. Machine learning is a way to cover your analytical base without the positional cost. And while most entrepreneurial initiatives start out with a great vision, expecting yourself to peer with otherworldly wisdom into analytics at every turn is simply not tenable. – Denver Hunter, PenServ Plan Services, Inc.

4. Identifying Purchasing Patterns

One of the simplest ways to utilize machine learning in smaller businesses is to use its capabilities to identify patterns, such as purchasing patterns, and to predict near-future purchasing. This can drastically cut supply chain and storage costs—smaller businesses often neither have significant resources in these areas, nor can they afford them. Predictions are excitingly accurate, even with sudden trend changes. – Markus Bernhardt, OBRIZUM

5. Handling Personal Scheduling

Time is money, and entrepreneurs have little of either. Smart scheduling solutions have been a game-changer for me. They analyze my calendar, automate coordination, and streamline how meetings get booked, rescheduled and canceled. – Sean Steele, Infolock

6. Turning Insights Into Ideas

Machine learning can drive home the importance of data and the commodity of technology. Entrepreneurs and small-business owners will find machine learning closing the loop to shorten the distance between doing and dreaming. Operationally, this means turning insights into ideas that are executed for real business impact, with those learnings creating even more insights. – Cleve Gibbon, Wunderman Thompson

7. Understanding Consumer Behavior

In light of recent technological advances, machine learning is becoming more accessible, which can help small businesses and entrepreneurs understand consumer behavior. This alone can provide you with better insight into customer needs and the updates or changes that should be made in order for your company’s products/services to best serve your customers. – Matt Pierce, Immediate

8. Analyzing Customer Feedback

Machine learning should definitely be used to analyze the feedback from your customers. Ideally, you will want to know how to evolve your products and understand what would make a customer become interested in or evolve with your product. Therefore, the feedback loop is highly important; but understanding what is noise and what is truly critical feedback is even more so. Then you can react accordingly. – WaiJe Coler, InfoTracer

9. Identifying Product ‘Winners’ And ‘Losers’

ML can help automate the process of product development. By using artificial intelligence to predict which products are likely to be successful, business owners can save time and money by passing on projects that would have failed anyway, freeing up their resources for more promising endeavors. – Leon Gordon, Pomerol Partners

10. Business Planning

There’s a lot more potential for machine learning to help in business planning processes than is realized at the moment. While machine learning is generally popular in aspects such as marketing and customer service, it is rather underutilized in planning, despite its high potential. Business planning is an important and complicated process where human efforts are not always enough to stay competitive. – Peter Abualzolof, Mashvisor

11. Cleansing Data, Processing Documents And Combating Fraud

ML can be overwhelming for small-business owners because of the learning curve. To start with, small businesses can certainly leverage ML for customer data cleansing, fraud detection, automation of document processing and guarding against phishing attacks. These areas are common pain points, and ML can certainly help small businesses solve these issues as well as realize some long-term cost savings. Later on, small businesses can invest more money in automation. – Kiran Palla, Kiran Palla

Successful CIOs, CTOs & executives from Forbes Technology Council offer firsthand insights on tech & business.

Source: Council Post: 11 Tech Experts On How Small Businesses Can Effectively Leverage Machine Learning

Critics by Gero Keil

Machines have become smart but we are still years away from human-like intelligence. However, until then it is possible for us to understand how machines can learn from data. Depending on the use case, data may be classified, segment, interpreted, extracted and you can run regressions on it. Looking at your business processes (and data) in this manner is the entry ticket to the promised land of AI.

Artificial intelligence has been helping big companies for years. Only recently has AI become available to small businesses through AIaaS (AI as a service). The benefits for small businesses are similar to those of big companies—let’s take a look:

Reduce time spent on mundane tasks: using AI to automate repetitive tasks and analyze large amounts of data helps small businesses free up time to focus on other tasks.

Lower costs: implementing an AI solution reduces costs in the long run by improving efficiency and freeing up time and resources to develop the business.

Improve service: using AI to understand your consumers and how they feel about your product can help you proactively improve your offerings.

Improve security: AI solutions can be implemented to help small businesses detect any suspicious cyber activity before it becomes an issue. AI solutions can help businesses improve customer service in a number of ways, from analyzing customer sentiment to categorizing support requests.

Having insights into customer behavior and sentiment is key for improving your support and product—often before customers themselves request it. AI can help businesses by improving efficiency and productivity when it comes to business operations. Whether that’s by categorizing incoming emails based on their contents, or identifying promising leads and unpromising leads.

AI can help with both simple and complex issues, and can help you and your team free up a lot of time for other important tasks. AI enables businesses to continuously improve their product and offerings with insights into how users interact with them. Simply use AI to monitor what users are talking about and the sentiment behind their words, and make changes accordingly.

AI can help highlight product issues before they’re vocalized by users—meaning you can solve problems before they even arise. Gone are the days where only the biggest organizations leveraged AI—small businesses can now use AI to optimize their processes, too. AI solutions make harnessing the power of machine learning easier than ever before—let’s see how to implement AI in your small business.

Machines have become smart but we are still years away from human-like intelligence. However, until then it is possible for us to understand how machines can learn from data. Depending on the use case, data may be classified, segment, interpreted, extracted and you can run regressions on it. Looking at your business processes (and data) in this manner is the entry ticket to the promised land of AI….

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