Artificial Intelligence, Business, and the Future

Here at Omega Venture Partners, we believe that Artificial Intelligence (AI), including Machine Learning (ML), has and will continue to change life as we know it. AI’s unlimited applications allow humans to complete tasks more quickly, more efficiently, and with more precision. While AI will help the everyday consumer, we believe the cutting-edge technology has the most potential to improve the business world.

Artificial Intelligence, Machine Learning, AI, ML

What is AI?

Artificial intelligence is an area of computer science that gives computers the ability to “think” and learn autonomously. Machine learning, a subset of AI, allows computers to learn from experience without being explicitly programmed.

AI has popular approach for solving complex problems; it provides systems the capability to automatically learn and improve from experience without being specific rules or criteria.  An example would be personalizing search results based on previous queries made by a user or logging website visitors’ histories so they see content most relevant to them when they return later.

Deep learning is a specific type of machine learning that relies on neural networks (networks with many nodes connected by links) to perform nonlinear reasoning—that is, to engage in what is known as pattern recognition. Neural networks use layers of interconnected processing units called neurons inspired by the human brain’s nerve cells or neurons.

Artificial Intelligence

Common Uses of Artificial Intelligence

The most common examples of artificial intelligence in everyday life involve machine learning. These include your web browser search engine, targeted marketing emails from companies you’ve purchased products/services from before, spam filters and cybersecurity tools. Another example is personal assistant apps such as Siri and Alexa, which are designed to help people with daily tasks like scheduling appointments, translating languages or even making restaurant recommendations using ai predictive analytics.

Deep learning is being applied in areas including medicine and law enforcement: some researchers have developed algorithms that can diagnose breast cancer from mammography as well as pathologists can. Other forms of deep learning are being explored for applications such as medical image analysis, drug discovery and treatment planning for radiation therapy patients.

Machine Learning

AI and Business Today

AI systems attempt to emulate human intelligence in order to learn, adapt and solve problems. AI (specifically machine learning) has become an increasingly important tool for businesses looking to reduce costs, improve customer satisfaction levels or increase productivity.

In other words, machine learning allows software programs to modify their behavior based on new data and past experience. This capability is commonly used for predictive analytics and helps companies make better business decisions. More specifically, companies use machine-learning algorithms in order to predict which products customers want, what prices they’re willing or able to pay for these items, where the best location would be for brick-and-mortar stores—the possibilities are endless! Other common applications of AI in business include chatbots that automate customer service responses, image recognition technology enables new types of search capabilities, and statistical analysis of costs and sales.

However, no AI business can make human intelligence obsolete. Rather than serving as a replacement for human ingenuity, the potential of artificial intelligence is generally seen as a supporting tool that will help humans make better decisions faster. In order to identify opportunities where AI might bring real value you need to first understand your organization’s needs – what kinds of work could an AI machine automate? What current manual processes or systems could an intelligent agent streamline?

How Artificial Intelligence Will Transform Business

The benefits businesses stand to gain from the use of AI is endless, but the following are a few examples:

  • Automation of processes: Businesses can automate many processes using AI, which is useful in reducing operating costs and labor hours.
  • More positive results from marketing activities and increased revenue: Since businesses can now process more data than previously possible, they are able to target their customers more accurately when designing campaigns such as direct mail advertising or email marketing. This increases the chances that customers will respond positively to them, leading to an increase in revenue for businesses who continue this practice over time.
  • Better understanding of customers and improved experience of services offered: Another benefit for business is better understanding and insight into their customer base through the analysis of historical data available electronically . For example, if a company wants its salespeople to give better service on certain days during particular months based on past purchasing patterns, it could develop an algorithm that predicts buying trends based on weather reports, seasonal events, etc.
  • Fraud detection
  • Improved and more reliable customer experience and service

What’s the Problem?

Application of artificial intelligence in business is constantly increasing. The benefits are vast, but so are the challenges it presents for humans. Although AI currently has a difficult time completing commonsense tasks in the real world, it is adept at processing and analyzing troves of data much faster than a human brain could. This ability makes an artificial intelligence business well suited for repetitive jobs that require attention to detail. AI machine learning will also perform many functions simultaneously—with very little sleep!

The central problems of AI include such traits as reasoning, knowledge representation, planning, learning and natural language processing. General intelligence is still among the field’s long-term goals; many people expect that human level AI could be accomplished in this century.

AI and ML

What Does AI Mean for the Worker?

AI is both overhyped and underrated in terms of its role in the workplace. It’s easy to see why so many workers have concerns about their jobs being replaced by robots or computers: In 2017, for example, an estimated 2 million people worked as drivers—a number that robots seem poised to dramatically reduce in years ahead.

Yet despite these fears, research has shown that automation could actually increase employment opportunities overall because it makes some types of work cheaper and more efficient. The key will be ensuring that everyone who wants a job can find one; if not enough new positions are created, many workers could end up out-of-work due to automation. Overall, as long as the proper laws and regulations are in place, AI will revolutionize the workforce by working with humans, not replacing them.