The buzzwords AI and machine learning are on everyone's lips these days, especially in marketing, but are often wrongly used as synonyms. In fact, only about one in five marketers know the differences between the two terms.

Data-driven marketing is a hot topic, as is the automation of marketing activities based on it, because the range of applications is constantly expanding and improving.

According to Tobias Eder from Seventimes Media, good online marketers know their CPM, CTR, CPA, and how many users are on their shop or website and who will convert within the next hour – at any time of the day or night. They know every single functionality of their individual advertising platforms meticulously, but still have too little connection to the target group and no idea who will ultimately see their advertising.

The term “Metaverse” is not only finding its way into everyday exchanges across the web, pop culture and mainstream news media discourse, but also into closed-door corporate discussions as industries ruminate on if—and how—to be an early adopter of this modality. This understanding it represents a seismic shift that will challenge technological and cultural paradigms.  

Emplifi Social Care has just been launched as part of the Emplifi Unified CX Platform, which empowers teams outside of the service center to help support the volume of customer requests that come in across social media channels. This means that marketing, brand and product teams can respond to customer cases using a powerful combination of chatbot technology and intuitive case management tools, elevating social customer care while boosting performance.

AI research is progressing at a rapid pace and now Google has unveiled its Pathways Language Model (PaLM), the largest language model presented so far.

According to IDC's latest Worldwide Artificial Intelligence Spending Guide, spending on AI systems in the Asia Pacific region will rise from $17.6 billion in 2022 to around $32 billion in 2025.

Understanding brand performance relies on considering all strategic channels and voices used in campaigns across different markets: examining from a cross-voice, cross-channel, and cross-activation approach will allow for a better understanding of what is working and identify what opportunities brands are missing out on.

AI anchor Wang, the first AI anchor adopted by the Chinese Central Television (CCTV), has been introduced in March through a featured program and actively used in news and economic programs from this year onwards. The AI anchor of CCTV, with its natural voices and facial expressions, is an AI human made with DeepBrain AI's deep learning technology.

Following the announcement of the partnership last year, Bonsey Jaden and CUE Group are introducing innovative, data-driven technology primed for the retail industry that delivers a deeper understanding of consumer practices with real-time analytics, at all levels of operations and marketing.

The impact of the current conflict between Russia and Ukraine is far-reaching and will impact Asia Pacific in the short and possibly long-term in a recently published impact analysis: IDC reiterates that sanctions, commodity shortages, and higher prices for oil and gas as well as other essential goods will further fuel inflationary pressures and damage ICT supply chains that support the regional consumer electronics and semiconductor manufacturing as well as distribution industries.

Earlier this month, NielsenIQ and GfK, two global data and analytics services providers, announced their proposed merger to explore new opportunities in retail and consumer analytics.

WalkMe.com wanted to find out which countries are investing the most in digital technologies and which technologies are of most interest to business owners. Hence, the company analyzed the 2021-22 Digital Future Index to determine which countries are investing the most in Artificial Intelligence, Immersive Tech, Blockchain (Distributed Ledger Technologies), and Internet of Things. A total of 125 variables were used to calculate the countries investing most including each country’s size and population.

About ten years after entering the global manufacturing sector's consciousness, Industry 4.0 seems to have lost much of its novelty. Its principles, technologies, market drivers, and national government policies have become known quantities. Smart factories, the intelligent, hyper connected production plants that lie at the centre of Industry 4.0, have become detailed analysis and development objects.