Here's the situation you've probably been in already: you join a new project and soon notice the page load speed is… underwhelming. You might assume it's due to your slow network, but after running a Lighthouse report, you find the score is 20 out of 100. Something is definitely wrong here! When I see something like this, I usually have a real urge to fix it. Besides, sometimes it's a nice way to get acquainted with the project as you inevitably go through a lot of code when doing it. Now, what's important is that performance optimizations are a real rabbit hole, and there's almost always something else that can be optimized. The Pareto principle applies here perfectly: a set of things can be done relatively easily, but they can have a meaningful impact.

What happened: U.S. and EU regulators have increasingly opened up to the possibility of regulating artificial intelligence (AI). AI poses an interesting challenge as regulators look to define what it is and the reasonable balance between regulation and the progression of the technology. On one hand, AI can drastically improve quality of life by running complex algorithms to help create cures for diseases or invent new technology. On the other hand, it can -- and is -- replacing jobs and careers around the globe. People like Tesla Inc. CEO Elon Musk have warned it will eventually replace every job, making the need to work obsolete.

Marketing is one of the areas of business operations where it is widely predicted that artificial intelligence (AI) will drive enormous change. In fact, a McKinsey study found that, along with sales, it is the single business function where it will have the most financial impact. This means that if you're a marketer and you're not using AI, you're missing out on the benefits of what is possibly the most transformational technology. Actually, though, the chances that there are people out there doing marketing today and not using AI in any shape or form is somewhat unlikely. This is simply because there are so many tools with AI features that we are used to using without even thinking about it.

GPT-3 is gaining huge popularity in the global tech market with its smart functionalities through artificial intelligence. This popular AI tool is helping in multiple fields including marketing copy generation as a marketing tool. GPT-3 known as the Generative Pre-trained Transformer 3 leverages deep learning for generating human-centric texts. The marketing departments of millions of businesses have started using GPT-3 for its AI tool functionality. Let's explore how GPT-3 is the best AI tool for marketing copy generation in 2022.

In 2017, The Economist declared that data, rather than oil, had become the world's most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO's State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment.

Data collection has become remarkably easy for businesses with the emergence of several digital communication channels. Using machine learning in digital marketing enables organizations to harness data to improve their micro-moment marketing strategies. Marketing has always been about connecting the gap between you and your target audience. To achieve that objective, you need to know exactly what your customers need. For several years now, marketers have used existing trends and consumer demand patterns to create ad campaigns and long-term marketing strategies.

When you're dealing with marketing problems like customer churn (when a customer stops using a company's product over a certain period of time) prediction, the raw dataset is often imbalanced, meaning that the classes are inherently not balanced. Basically, what this means is the percentage of your customers who churn might be a lot lower than those who don't. In this example, the binary classification problem might have an 80–20 split, with only 20% of customers discontinuing their engagement with the company and 80% continuing to make a purchase. The problem is, that 20% could be VERY important to the business's bottom line. Think about it -- a gifting company has 100,000 customers with an average value of $50 per person.

In 2017, The Economist declared that data, rather than oil, had become the world's most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to IDG's State of the CIO 2021 report, 39% of IT leaders say that data analytics will drive the most IT investment at their organization this year, up from 37% in 2020. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

In 2017, The Economist declared that data, rather than oil, had become the world's most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to IDG's State of the CIO 2020 report, 37 percent of IT leaders say that data analytics will drive the most IT investment at their organization this year. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Companies are looking at automation and other ways to boost their marketing efforts as working smarter or doing more with less become mantras hitting many departments. How could a chatbot marketing strategy help when it comes to attracting interest and driving sales or attracting customers, and as marketers look to make use of new technology tools? The marketing department is increasingly in charge of figuring out new ways of using current technology or adopting the latest innovations to give their marketing efforts an edge. Chatbots have been around in a mass-market sense for a good few years now, and there are plenty of positive marketing stories out there. The stats look good too, with some 47% of consumers happy to buy from a bot, and sales netting close to double the average order value.