Holiday shopping can be quite stressful. After dealing with traffic, crowded stores and overpriced merchandise you may just want to rest and perhaps have a nice stiff drink. Well if you happen to be shopping in London, you are in luck. London department store Selfridges has installed a robot bartender from Makr Shakr. It will be located at the Smartech store on the lower ground floor and will be serving a wide variety of drinks to stressed-out shoppers.

Before you can build a successful machine learning (ML) algorithm that works in the real world, you must ensure that your data is appropriately annotated by human annotators. Creating accurate training data helps ensure better accuracy when you launch your ML models into production. Accurate training data also makes it more likely that you are creating a model that achieves your business goal in the real world. Without the ingestion of quality training data, ML models are useless. Poorly-labeled training data leads to poor-performing algorithms.

Listen to what Jeff Bezos, Elon Musk and Jack Ma have to say about the way artificial intelligence will impact the future of work. Whether we like it or not artificial intelligence continues to increase in our every day lives. Jobs will be changing in the future. Understand the changes that are coming. "Why do you want to live? What do you love about the future? And if the future's not including being out there among the stars and being a multi-planet species, it's incredibly depressing if that's not the future we're going to have."

Artificial Intelligence (AI) and Machine Learning (ML) technologies have changed the way both offline and e-retailers interact with or approach the customer and the way they offer products, particularly in fashion eretail. AI and ML are allowing for critical insights into more accurate personalisation of products and services. Customer experiences can now be data-driven all thanks to insights that we receive through the implementation of AI and ML. These technologies allow pattern recognition of each consumer to match their preferences to the product offerings. Robust recommendation engines based on ML can boost up-sell and cross-selling opportunities – directly affecting the top and bottom line.

Artificial intelligence is considered as a game-changer for the retail industry. With a set of AI algorithms, AI-enabled retail solutions help to provide seamless customer interaction and experience. The retail sector is using AI for complex computational processes like capturing product weight, customer engagement product details, customer engagement, etc. Artificial intelligence in retail is being implemented to reinforce the future retail industry prospect. Businesses in retail are taking the help of AI to correlate products and services with customer satisfaction. The retail industry has been active in adopting and innovating new technologies into the market.

Artificial intelligence is considered as a game-changer for the retail industry. With a set of AI algorithms, AI-enabled retail solutions help to provide seamless customer interaction and experience. The retail sector is using AI for complex computational processes like capturing product weight, customer engagement product details, customer engagement, etc. Artificial intelligence in retail is being implemented to reinforce the future retail industry prospect. Businesses in retail are taking the help of AI to correlate products and services with customer satisfaction. The retail industry has been active in adopting and innovating new technologies into the market.

In the last decade, the digital age has sharply redefined the way we study human behavior. With the advancement of data storage and sensing technologies, electronic records now encompass a diverse spectrum of human activity, ranging from location data, phone and email communication to Twitter activity and open-source contributions on Wikipedia and OpenStreetMap. In particular, the study of the shopping and mobility patterns of individual consumers has the potential to give deeper insight into the lifestyles and infrastructure of the region. Credit card records (CCRs) provide detailed insight into purchase behavior and have been found to have inherent regularity in consumer shopping patterns; call detail records (CDRs) present new opportunities to understand human mobility, analyze wealth, and model social network dynamics. In this chapter, we jointly model the lifestyles of individuals, a more challenging problem with higher variability when compared to the aggregated behavior of city regions. Using collective matrix factorization, we propose a unified dual view of lifestyles. Understanding these lifestyles will not only inform commercial opportunities, but also help policymakers and nonprofit organizations understand the characteristics and needs of the entire region, as well as of the individuals within that region. The applications of this range from targeted advertisements and promotions to the diffusion of digital financial services among low-income groups.

One of Britain's best-known economists, Roger Bootle runs Capital Economics, Europe's largest macroeconomics consultancy, which he founded. Roger appears frequently on television and radio and is also a regular columnist for The Daily Telegraph. In the Comment Awards 2012 he was named Economics Commentator of the year. He is the author of widely acclaimed books including - The Trouble with Markets, Money for Nothing and The Death of Inflation. Roger is also a Specialist Adviser to the House of Commons Treasury Committee.

"I am very interested in what is happening in Latin America and I think (in) Brazil there is an awful lot of quite smart investment," he added, noting that he thinks Europe is being a bit slow. The latest research report titled "Artificial Intelligence in Retail Market" published by Industry Research expects AI in the retail market to grow globally at a compound annual growth rate (CAGR) of over 35 percent from 2019 to 2024. The report also notes that the growing trend of rising technology adoption in the industry can be associated with the need for streamlining retail operations, minimising efforts, and increasing revenue mostly for e-commerce retailers. The application of artificial intelligence (AI), big data and analytics will enable businesses with a data-driven model by expanding the types of data that can be analysed and raise the level of sophistication of the resulting insight, according to the report. Owen Farrow, Leader Consumer Industry at IBM Middle East told Zawya on the sidelines of the event that the UAE particularly is becoming a more common place to talk to people about AI and stands out for leading with experience.

"I am very interested in what is happening in Latin America and I think (in) Brazil there is an awful lot of quite smart investment," he added, noting that he thinks Europe is being a bit slow. The latest research report titled "Artificial Intelligence in Retail Market" published by Industry Research expects AI in the retail market to grow globally at a compound annual growth rate (CAGR) of over 35 percent from 2019 to 2024. The report also notes that the growing trend of rising technology adoption in the industry can be associated with the need for streamlining retail operations, minimising efforts, and increasing revenue mostly for e-commerce retailers. The application of artificial intelligence (AI), big data and analytics will enable businesses with a data-driven model by expanding the types of data that can be analysed and raise the level of sophistication of the resulting insight, according to the report. Owen Farrow, Leader Consumer Industry at IBM Middle East told Zawya on the sidelines of the event that the UAE particularly is becoming a more common place to talk to people about AI and stands out for leading with experience.