It is here now providing convenient solutions for us. That's why more and more industries are investing in artificial intelligence to improve business operations and maximize revenues. The financial market industry is one of them. Automation is doing, while AI is thinking. It seems like a long time ago when only high net worth individuals could own stock shares over back-and-forth calls with their personal stockbrokers.

The world is changing rapidly and so does technology. Artificial intelligence which was once just a word of sci-fi is now catching its speed into reality. According to the Globe and Mail " Artificial intelligence research leads to new applications" in reforming every sector starting from education, e-commerce, business, construction, healthcare, etc, thus impacting them to their core. Artificial intelligence in the times of COVID-19 has had a huge impact on the healthcare industry. Thanks to AI, technical advancements are helping medical professionals to treat their patients with ease and accuracy. Moreover, a study by Statista states that the market of AI in the field of healthcare will surge up to $28 million by the year 2025.

New York Gov. Andrew Cuomo signed legislation in late July to create a temporary state commission that will examine how artificial intelligence impacts his state. In doing so, New York joined Vermont, Alabama, and Washington in establishing an A.I. task force that will examine the cutting-edge technology and then make recommendations about how it should be regulated. The groups vary in their mission, but the general message is the same: companies pushing A.I., the brains behind innovation like robotics and facial recognition software, can't necessarily be trusted to do what's in the best interest of state residents. Brandie Nonnecke, founding director of University of California's Center for Information Technology Research in the Interest of Society Policy Lab, says that task forces could help keep state lawmakers up to date about the technology. The end result, she says, will be better-written bills that don't get stuck in legislative purgatory.

Data science and big data analytics are gradually making waves with advanced technologies like artificial intelligence (AI), machine learning (ML), and deep learning. Data science is essentially used to delve into huge datasets to extricate significant information. The experiences that data analysts and scientists acquire from huge volumes of data remain the mystery responsible for the swift transformation of the world around us. Companies and institutions across different divisions of the Industry are presently utilizing data science tools to control the changes driven by the recent innovations. Truth be told, about 55% of organizations have implemented huge big data analytics in 2017, which is a huge development from 18% in 2015.

Artificial intelligence is transforming the world of work. Advances such as deep learning, new sensor technologies, and subsequent data availability, mean that computers can perform a much wider range of tasks than previously thought possible. While we may be getting used to the idea that automation will render many current occupations obsolete, many of us still struggle with the idea that artificial intelligence can perform more human tasks. But that's exactly what's happening in the world of aged care. With the help of "more human" technology, older people will be able to stay in their homes longer, and lead more independent lives.

If you are a frequent online shopper, chances are you searched for, say, a belt, and the website suggested you buy something unrelated, like a coffeemaker. This will become rarer as machine learning, a subset of artificial intelligence, improves substantially. And with advancements in technologies for image recognition and search -- Google has launched this feature on its Pixel 2 phones, though it is still in beta -- ecommerce will be more interactive and intuitive. According to a report by PricewaterhouseCoopers, using different datasets to make predictions, including shopping recommendations, is the biggest area of focus in AI globally. Moreover, Amazon, Samsung and Google are training the voice assistants on their devices to get better at speaking in and understanding Indian English accents, saving us the effort of repeating our questions.

If you are a frequent online shopper, chances are you searched for, say, a belt, and the website suggested you buy something unrelated, like a coffeemaker. This will become rarer as machine learning, a subset of artificial intelligence, improves substantially. And with advancements in technologies for image recognition and search -- Google has launched this feature on its Pixel 2 phones, though it is still in beta -- ecommerce will be more interactive and intuitive. According to a report by PricewaterhouseCoopers, using different datasets to make predictions, including shopping recommendations, is the biggest area of focus in AI globally. Moreover, Amazon, Samsung and Google are training the voice assistants on their devices to get better at speaking in and understanding Indian English accents, saving us the effort of repeating our questions.

If you are a frequent online shopper, chances are you searched for, say, a belt, and the website suggested you buy something unrelated, like a coffeemaker. This will become rarer as machine learning, a subset of artificial intelligence, improves substantially. And with advancements in technologies for image recognition and search -- Google has launched this feature on its Pixel 2 phones, though it is still in beta -- ecommerce will be more interactive and intuitive. According to a report by PricewaterhouseCoopers, using different datasets to make predictions, including shopping recommendations, is the biggest area of focus in AI globally. Moreover, Amazon, Samsung and Google are training the voice assistants on their devices to get better at speaking in and understanding Indian English accents, saving us the effort of repeating our questions.

Meagan Metzger is the founder of Dcode42, an accelerator program for companies with innovative technology products for which there is a current or potential future government need. Dcode42 recently partnered with Amazon Web Services to help speed the adoption of artificial intelligence and machine learning for problem solving in government. GCN spoke with Metzger about the role of AI in government and ways cloud-based AI can help government solve challenges. The interview has been edited for length and clarity. GCN: What government challenges do you see AI solving?

What was once viewed as the content of science fiction movies, artificial intelligence looks to be much more of a reality than previously expected. Artificial intelligence marketing can play such a huge role in the development of brand analysis and consumer interactions. Between sentiment analysis, customer service opportunities, and advertising optimization, artificial intelligence allows marketers to get a better understanding of their consumer base. Sentiment analysis is the ability to understand the overall feeling and mood of any piece of text written or even posted by a consumer. With AI, brands are able to automate their analysis by getting up to date looks at what their consumers are saying about them and whether or not the reaction is positive or negative. Rather than having someone comb through hundreds even thousands of social media mentions, with AI, this can be done in a matter of seconds.