It's been estimated that 96% of companies consider Account Based Marketing (ABM) as the key driver to increase revenue in B2B sales. ABM enables organizations, such as Reuters, to modify their marketing budgets by focusing on the customers' likelihood of purchase in order to optimize their marketing strategies and target customers who are more prone to convert. Account-based marketing is a data-driven customized B2B marketing approach. It focuses on high-value accounts and delivers messages based on particular traits and needs of these accounts. The sales, marketing, and executive teams sustain and improve their relations with these customers to direct them to buy more expensive or additional products.

Adobe Inc said on Monday that it has put a new set of artificial intelligence tools into its digital marketing software with the aim of helping companies sharpen their marketing campaigns. Once known for applications like Photoshop, Adobe has become one of the biggest providers of software for running such campaigns, which businesses use to decide which of thousands of images and pieces of writing to content to show to potential customers. Growth in its marketing software division has helped send shares up nearly 50 per cent this year. The artificial intelligence features released on Monday aid that effort by, for example, scanning and labelling thousand of product images by colour and shape, or using natural language processing technology to read an article to determine its subject. That makes it easier for marketing campaigns to make a recommendation, whether that means showing a person browsing an e-commerce site a pair of shoes similar to ones they have previously viewed or a news website suggesting a story on a similar subject to the one just read.

Once known for applications like Photoshop, Adobe has become one of the biggest providers of software for running such campaigns, which businesses use to decide which of thousands of images and pieces of written to content to show to potential customers. Growth in its marketing software division has helped send shares up nearly 50% this year. The artificial intelligence features released on Monday aid that effort by, for example, scanning and labeling thousand of product images by color and shape, or using natural-language processing technology to read an article to determine its subject. That makes it easier for marketing campaigns to make a recommendation, whether that means showing a person browsing an e-commerce site a pair of shoes similar to ones they have previously viewed or a news website suggesting a story on a similar subject to the one just read. Such artificial intelligence technology has existed for several years, but using it generally required corporate marketing departments to export data from their systems and work with another division of the business to use, slowing the work down, Ali Bohra, director of strategy and product marketing for intelligence services at Adobe, said in an interview.

The artificial intelligence features released on Monday aid that effort by, for example, scanning and labeling thousand of product images by color and …

Once known for applications like Photoshop, Adobe has become one of the biggest providers of software for running such campaigns, which businesses use to decide which of thousands of images and pieces of written to content to show to potential customers. Growth in its marketing software division has helped send shares up nearly 50% this year. The artificial intelligence features released on Monday aid that effort by, for example, scanning and labeling thousand of product images by color and shape, or using natural-language processing technology to read an article to determine its subject. That makes it easier for marketing campaigns to make a recommendation, whether that means showing a person browsing an e-commerce site a pair of shoes similar to ones they have previously viewed or a news website suggesting a story on a similar subject to the one just read. Such artificial intelligence technology has existed for several years, but using it generally required corporate marketing departments to export data from their systems and work with another division of the business to use, slowing the work down, Ali Bohra, director of strategy and product marketing for intelligence services at Adobe, said in an interview.

When you hear the phrase "artificial intelligence," what's the first thing that comes to mind? Depending on how you've seen AI, you might see it as a beautiful or scary thing. As the CEO of a startup that's built an AI-based marketing software tool, I believe it's the former. In fact, according to a 2019 study, "40% of marketing and sales teams say data science encompassing AI and machine learning is critical to their success as a department." It's easy to see why. Marketing takes a ton of effort: planning campaigns, launching them, measuring them and making small tweaks.

Cognitive systems, embedded or not into marketing software, are powering every single functional area of marketing and each step of the consumer journey. AI–driven marketing leverages models to automate, optimize, and augment the ransformational process of data into actions and interactions with the scope of predicting behaviors, anticipating needs, and hyper personalizing messages. Modern marketers utilize user data to deliverhyper–individualized and hyper–contextualized brand communications, in which each subsequent message builds on previous customer interactions. These interactions are seen not as a final stage of a consumer journey, but as a way to orchestrate future experiences in a satisfactory virtuous cycle. Successful ML–powered companies turn data into seamless interactions with consumers using semiautomated and real–time processes.

We're right at the start of the AI revolution but we've already got a good sense of how artificial intelligence will change the face of digital marketing. Investing in new technology is a big commitment and it can be intimidating when it's underpinned by complex concepts like machine learning algorithms. Personalization was definitely the buzzword in the world of marketing in 2018 and we're going to see this trend become even more important over the next 12 months and beyond. The way that consumers respond to and interact with marketing messages is changing. Traditional marketing methods like media advertising and direct mail are no longer as effective as they once were.

We're right at the start of the AI revolution but we've already got a good sense of how artificial intelligence will change the face of digital marketing. Investing in new technology is a big commitment and it can be intimidating when it's underpinned by complex concepts like machine learning algorithms. Personalization was definitely the buzzword in the world of marketing in 2018 and we're going to see this trend become even more important over the next 12 months and beyond. The way that consumers respond to and interact with marketing messages is changing. Traditional marketing methods like media advertising and direct mail are no longer as effective as they once were.

Deep learning is a subset of AI that offers innovative applications in many different areas of life and technology. Algorithms powered by deep learning are currently being used to detect cancer, predict earthquakes, and create art – an AI-generated painting sold for over $400,000 at auction last month. It's exciting stuff for sure, but what exactly does advanced AI technology have to do with your marketing strategy? To explain, we need to start by defining exactly what deep learning is. Deep Learning mimics the human brain by using "neural networks" to learn by repeatedly performing a task slightly differently each time to improve the outcome.