As we’ve explored machine learning this month, neural networks are one pivotal innovation underpinning many ML applications. But what are neural networks, and how are leading companies using them to create business value?
Inspired by the human brain’s neurons, neural networks contain layers of interconnected nodes called artificial neurons. As seen in the image below, the algorithm breaks down the photo of the dog into pixel data represented by ones and zeros—a process known as convolution. This numeric data feeds into the neural network’s classification layers, which analyze patterns in the numbers to identify elements of the image based on prior training on millions of sample images. The network can then return the classification result: dog. The more data these networks train on, the more intelligent they become at recognizing patterns and making correct predictions, whether it’s the difference between a hot dog and a live dog.
Source: https://cdn4.explainthatstuff.com/convolutional-neural-network-simple.png
Here are business use cases of neural networks powering AI today:
Personalized Recommendations
Leading platforms turn to neural networks over simple big data analytics to provide personalized recommendations. Neural networks can detect subtle user preference patterns and continuously update recommendations as they process more data. Unlike big data, neural nets seamlessly apply across unstructured data like images, video, and text. This sophisticated approach allows companies like Netflix and Amazon to tailor suggestions to individual tastes versus relying on generic correlations, resulting in better engagement.
Computer Vision
Unlike simple rule-based vision, Tesla trains neural networks on the millions of diverse driving scenarios its drivers face daily. The neural nets can detect subtle details and edge cases that predefined algorithms miss. They also update the vehicle’s recognition continuously based on new data. Ultimately, this allows their autonomous cars to recognize complex objects like pedestrians, read signs, and respond safely. This adaptive, image-focused approach of neural networks enables Tesla to progress towards Level 4 and Level 5 autonomous driving, unlike big data systems limited to structured inputs and inflexible logic.
Natural Language Processing
Neural networks are revolutionizing natural language processing – the ability of computers to understand text and spoken words. Google leverages deep neural networks in its Google Assistant to parse sentences for meaning and generate natural conversations. Its flexible neural approach can handle complex questions and contextual nuance, unlike rigid chatbots. The networks continuously learn from new interactions, allowing applications like Google Assistant and Alexa to hold fruitful dialogues by adapting based on user inputs in real-time. Hands-free voice control is brought to life by neural networks in a way rule-based systems cannot match.
Predictive Analytics
Neural networks enable more accurate predictive analytics versus traditional data modeling. Banks apply them to credit card transactions to detect potential fraud in real-time, given their ability to spot anomalous patterns that rigid rules miss. Healthcare systems use neural networks to analyze patient vital signs and lab tests to foresee deterioration or disease onset earlier. The networks fluidly assimilate structured and unstructured data to make continuous evaluations, allowing earlier interventions.
Essentially, neural networks’ pattern recognition excels at prediction in dynamic environments where pre-programmed models fall short.
Neural networks present immense new capabilities across industries – yet they are just tools. True AI success requires human oversight: setting the vision, considering ethics, and forging customer connections. At its best, AI amplifies human potential rather than replacing it.
The Berkeley Innovation Group expertly bridges technology and strategy. We ensure enterprises adopt neural networks thoughtfully, with humans guiding the process to unlock productivity, insights, and new possibilities. Don’t leave your future to algorithms alone. Contact us to implement AI responsibly, productively, and strategically. With human wisdom and neural network capabilities combined, the possibilities are truly endless.
