While the foundations for deep learning sate to the 1980s, researchers George Dahl and Abdel-rahman Mohamed broke new ground in 2010 when they developed advanced deep learning speech recognition tools. This paved the way for more deep learning advances focusing on anything from facial recognition to machine translation. In 2011 a question-answering computer system developed by IBM's DeepQA project made headlines when it outplayed Brad Rutter and Ken Jennings, two of the most successful contestants to take part in the popular American game show Jeopardy! Artificial intelligence took another stride forward in October 2011 when Apple launched Siri, it's signature personal assistant. From reciting the weather forecast to plotting a route on Google Maps, Siri is now used by hundreds of millions of people around the world.

Words, words, words… have you ever thought about how important they are? Communications, books, messages, telephone conversations, songs, movies… it is hard to imagine our world without language, isn't it? Just think about how many text and voice data we face every day. What about deriving meaning from this data and do something cool? Now we have systems that can do additional functions with our language.

Applying data science technologies like AI, NLP, and machine learning algorithms can help banks in several areas like fraud detection, risk management, customer sentiment analysis, and personalized marketing. Data science is disrupting the banking sector like never before. Banks are sitting on piles of data and harnessing the volumes of data is helping banks in various ways, from process automation, process improvements to exploring new delivery models and introducing new services. Every year financial institutions are spending billions against fraud detection applications, as it may hurt the company's brand and reputation. Data science plays a key role in collecting, summarizing, and predicting the customer database to detect fraudulent activities.

Artificial Intelligence is using advances to help medical professionals detect and treat cancers; emergency responders predict and prepare for impending natural disasters; police identify criminals and safely disarm bombs; organisations improve products, services and processes and school children receive tailored help from virtual teachers suited to their learning style. Through the use of robots and software agents, the machine may even perform these tasks alone or as a team member collaborating with humans. If we are going to build machines that play roles that simulate human reasoning, behaviour and activities, as a society we should ensure that those machines benefit all members of society, regardless of their age, gender, religion or status in society, rather than replicate human biases, perpetuate disparities or widen the gap between the haves and have nots. If AI is a simulation of human intelligence, who does it simulate and does it have a gender? Whether you view gender as socially constructed by one's environment and culture, a biologically determined factor as in the essentialist perspective, or adhere to the theory of individual differences, gender plays a role in who we are.

A new report suggests many people's stockings were stuffed with an Amazon Echo this holiday. Apple's App Store revealed that following Christmas Day, Amazon's Alexa took the top spot followed by YoutTube and Snapchat. Although Fitbit came in seventh, it was the second most popular hardware related app, suggesting many people may have also received it was gift this year. Apple released its weekly roundup of the most popular apps in its App Store and last week Disney reigned supreme, but just a day after Christmas, it was demoted to third by Amazon's Alexa app and YouTube. The report suggests that consumers had received an Amazon Echo for Christmas and needed the app to setup the device. Apple revealed that following Christmas Day, Amazon's Alexa took the top spot followed by YoutTube and Snapchat.

Samsung has not had the best of luck breaking into the smart digital assistant market, with the very capable Bixby not very well regarded. Samsung is however looking to have another go, and has been teasing a new AI product called NEON with tweets and Instagram posts. Have you ever met an'ARTIFICIAL'?#NEON While the teasers and NEON.Life website do not give much away, the project comes from Samsung STAR Labs, who's remit is "to secure cutting-edge AI core technologies and platforms--human-level AI with the ability to speak, recognize, and think--to provide new AI-driven experiences and value to its customers." The same team also contributes to Bixby, suggesting NEON is an offshoot of that work.

Artificial intelligence garnered a lot of attention from the usual players -- governments, tech giants, and academics -- throughout 2019. But it was also a big year for business AI, with even more growth expected ahead. In a March KPMG survey, more than half of business executives said their company would implement enterprise-scale AI within two years. That is partly what drives PwC estimates that AI will deliver $15.7 trillion to the global economy by 2030. Impressive leaps in 2019 have enabled new business applications for virtual assistants, such as Salesforce's updated Einstein Voice Assistant for sales and customer service apps and IBM's intelligent agent Watson Assistant.

Artificial Intelligence (AI) has paved a new way for innovations that have transcended any other technology's impact on society. Influencing and becoming a critical aspect of many industries, AI has become an important asset to possess. The restaurant business is no stranger to AI either. AI for restaurant business has seen a huge surge in terms of demand and necessity in the past decade. The implementation of AI for businesses has shown strongly about how big of a positive impact AI can provide.

Microsoft is devising a new roadmap for Cortana by integrating it with various applications. Earlier in 2019, Satya Nadela, CEO of Microsoft, said that the firm no longer sees Cortana as a competitor to other prominent virtual assistants Alexa and Google Now. The company is rather working towards revamping the way Cortana is being leveraged across the world. In an announcement on Friday, Microsoft notified users of several countries that they are pulling out Cortana support from Android and iOS platforms. Come 31 January 2020, Cortana will disappear from India, UK, Australia, Mexico, Spain, Canada, Germany, and China.

Eventually, content focused on any area plateaus and becomes repetitive, unimpressive and ineffective. The initial freshness of a topic wears off, and marketers are forced to deliver commonplace posts that reiterate widely-known information and don't really solve readers' problems. Few content creators truly address this problem by creating fresh and beneficial content based on new data, while most others simply recycle and rehash existing information to keep up with content demand. With AI, marketers can satisfy the content demand, create hyper-personalized content and ensure targeted delivery. Here's a summary of 5 such ways in which AI will redefine content creation and delivery.