Natural language processing belongs to the AI group of technologies of which machine learning, deep learning, image recognition, etc., also form part. It is a tool that helps computers read and understand human languages. NLP converts all forms of human language such as verbal, written, and visual, to enable communication between devices to fulfil a purpose. There is no doubt that marketing largely uses words for messages concerning people and products to be delivered to the audience. This is why NLP is heavily used in marketing technology.

This is your AI Daily Roundup today. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We cover the role of AI Daily Roundup and its application in various industries and daily lives. Software intelligence company Dynatrace announced it has extended its advanced AIOps capabilities for leading database environments, including Oracle and Microsoft SQL.

Every person interacts with some device or application that is AI-enabled at least once a day. That is how widespread AI is today. Every time you perform a voice search using Siri or Google Assistant, you are leveraging the power of artificial intelligence. As AI continues to evolve and improve, it will find more and more practical use in everyday business operations. Moving into 2022, AI will play a pivotal role in influencing digital transformation across industries.

Natural Language Processing, or NLP, is a subset of AI that enables computers to converse with humans. This involves using AI to'understand' human text or speech – comprehend the meaning, context, requirement, etc., and then deliver a response in text or speech that satisfies the user. NLP achieves this by combining computational linguistics with machine learning, statistical, and deep learning models. NLP gives the system the ability to fully determine the writer or speaker's intent, context, and sentiment. The simplest example of NLP in action is Siri and Google Assistant.

The growing prominence of technology has greatly changed the landscape of retail over the years. AI-powered solutions are changing the nature of retail and 2022 will be a year for more change owing to the speed at which innovation is occurring and the added acceleration of digital adoption because of the Covid-19 pandemic. Customers' shopping habits have evolved, and retailers will have to evolve to match their needs. Experts believe that the line between digital and physical will blur in 2022 (source). Consumers will expect the efficiency and convenience that technology provides, in the physical world, and the personalized service that a human sales rep delivers, in the digital world.

With AskSid's retail AI brain serving business innovation, we have supported a host of global brands including AkzoNobel, Danone, Wolford, Akris, and Himalaya in improving marketing efficacy, launching new product lines, and expanding to new markets, all led by actionable insights. With live implementations across 23 countries and supporting 100 international languages, AskSid embodies the essence of the retail industry and is driving change in the way brands meet their customers going forward. This infographic brings together every milestone, every AI advancement, and piece of news that kept us going in 2021. AskSid is a global conversational solutions company that partners with retail brands to elevate shopping experiences by leveraging the power of Artificial Intelligence. Our capabilities extend beyond support automation, extending to insight extraction, analysis, and business opportunity generation, all by leveraging the power of conversational data.

At AskSid, we consider ourselves intelligent experience engineers, collaborating with global retail brands to elevate the level of conversations, and supporting brands beyond just customer support. The core of AskSid's offerings lies in the retail AI brain we build for brands, an intelligence layer that supersedes all customer communication, driving intuitive support, and crafting simplified yet impactful shopping journeys. This is the driving force behind our insights engine, allowing brands to dig deep into conversational data and seek out hidden cues, resulting in a more complex and deep understanding of every single customer. AskSid's domain expertise also extends to mapping extracted insights to business opportunities, leading brands to discover previously unknown possibilities, including demand in varied markets and geographies, targeted marketing campaigns, new product lines, and well-mapped shopping journeys. AskSid has live implementations in 23 countries and supports 100 international languages.

In today's scenario, digital assistants are the go-to for everything related to retail brands, from product browsing to complaints about delayed deliveries. In addition, an increasing number of people from around the world are gaining access to smartphones, which means that brands are dealing with a more diverse set of queries shared in a variety of languages and cultural inflections. Simple rule-based chatbots of the past will not be able to meet these expectations. Brands need a smarter way to connect with customers, which is where AI-enabled digital shopping assistants like AskSid AI come in. In discussions on digital shopping assistants, two concepts keep standing out – Speech Recognition vs Natural Language Processing (NLP).

Millennials and Gen Z buyers – the dominant market segment – are increasingly voicing a preference for sustainably produced, longer-lasting clothing. Second-hand and rental fashion retail is also gaining popularity as buyers recognize the negative impact of over-shopping and then discarding. In 2019 alone, 52% of millennials in Britain bought secondhand clothes – a significant number. And brands are responding to this shift by pivoting their practices with the help of data insights from AI solutions.

In recent times, chatbots have become the user's preferred medium of communication. Conversational AIs or digital assistants elevate this medium by making user interaction more dynamic and personalized.