You may not have noticed, but artificial intelligence and automation have been transforming the eCommerce landscape in recent years. Seeing as the technologies are relatively new, it will be interesting to see just how much more they revolutionize the world of eCommerce in the coming decades. Automation enables eCommerce business owners to automate certain tasks, which can help to boost productivity and profits; and provide more time that can be spent on other important areas of the business. Artificial Intelligence (AI) is being used in eCommerce in various ways; not least, as a way of collecting and analyzing data, which can then be used by business owners to make better decisions and more accurate predictions. Automation has made eCommerce a more hands-off process for entrepreneurs, concerning various aspects of managing their businesses.

Artificial Intelligence Technologies and Sustainability of Our Environment Taniya Basu Wed, 07/07/2021 – 21:01 Log in or register to post comments Introduction: In recent years, the environmental issues have triggered debates, discussions, awareness programs and public outrage that have catapulted interest in new technologies, such as Artificial Intelligence. Artificial Intelligence finds application in environmental sectors, including natural resource conservation, wildlife protection, energy management, clean energy, waste management, pollution control and agriculture. Advancement in the AI in environmental protection market could be one of the solutions to solve the major environmental concerns. The application of AI in environment protection includes machine learning for protecting the oceans, monitoring shipping, ocean mining, fishing, coral bleaching or the outbreak of marine disease. The AI techniques are quite beneficial for environmental analysis, as they are able to process a huge amount of data quickly so as to draw conclusions that may have not been possible by humans. The AI techniques are quite beneficial for environmental analysis, as they are able to process a huge amount of data quickly so as to draw conclusions that may have not been possible by humans.  1.Weather Forecasting & Climate Changes: The traditional models of weather forecasting are based on statistical measures of numeric models, and it does not give answers in binary. The data collected can be from deep space satellites, weather balloons, radar systems, nowcasting weather warnings and environmental analytics and sometimes from IoT based sensors.  The AI predictions are primarily based on machine learning algorithms. By processing more complex data in a shorter span of time using linear regression principles, now meteorologists can make predictions with improved accuracy and thus saves lives and money. Machine learning can abet with other forecasts as well, including temperature, wave height, and precipitation. Google’s AI forecast tool that is based on the UNET convolutional neural network (CNN) allows researchers to generate accurate rainfall predictions six hours ahead of when the precipitation occurs. CNN is a sequence of layers of mathematical operations arranged in an encoding phase. It takes the input satellite imagery and then transforms them into output images. 2.Climate Changes: For instance, we can halt emissions in the energy sector by using AI technology to forecast the supply and demand of power in the grid, improve the scheduling renewables, and reduce the life-cycle fossil fuel emissions through predictive maintenance. AI applications in transportation can enable more accurate traffic predictions, the development of freight transportation, and better modelling of demand and shared mobility option. Other kinds of impacts include the waste that is disrupting ecosystems, pollutants that affect human and animal health and biodiversity loss. By harnessing the swaths of data from sensors and satellites, we can better predict climate change impacts and proactively steward these ecosystems.  AI applied in food systems can help better monitor crop yields, reduce the need for chemicals and excess water through precision agriculture and minimize food waste through forecasting demand and identifying spoiled produce. Lastly, AI systems used in buildings and cities can help automatically control heating and cooling as well as model energy used to decide which buildings to retrofit.  3.Biodiversity and Conservation: With the recent development of AI-powered devices for the conservation of animals, we can now prevent wildlife extinction. After the extinction of western African rhinoceros, African elephants are next on the verge of going extinct due to the involvement of extensive poaching. The AI-based technology system uses a camera that detects poachers planning to attack an animal and subsequently generates an alert to the park rangers in real Plants are very beneficial for human lives and greatly help in fulfilling our necessities. They help fulfill our basic necessities as they can provide us with food, shelter, and medicine. The more the number of trees present in an environment, the greater is the amount of oxygen produced. The AI-based platform allows its users to click and share photos of various species of plants in real time. It also allows the other community members to identify the photos of the specific plant and confirm the plant’s presence, whether if such a plant already exists. In this way, the AI-based networking platform can help discover new species of plants worldwide. 4.Ocean Health: In a recent research by two AI algorithm— Latent Variable Gaussian Process (LVGP) model and Probabilistic Principal Component Analysis (PPCA) were used to understand the sonar echoes in the ocean. The research aimed at observing the changes that can happen with sonar echoes at different depths, salinity, and temperature. The algorithms were capable of classifying underwater environments from simulated sonar measurements with an average accuracy of more than 90%.  The application of artificial intelligence, ML algorithms, and smart robots seems to be the perfect combination in the future to come. Deep-sea mining and deep-sea research without disturbing the life beneath seem difficult a few years before, but not anymore. With the application of these latest technologies, oceanographers can create accurate cartography, understand the impact of climate change, species status, salinity, and gather a large amount of data to explore the areas left behind. Conclusion: Researchers and scientists must ensure that the data provided through Artificial Intelligence systems are transparent, fair and trustworthy. With an increasing demand of automation solutions and higher precision data-study for environment related problems and challenges, more multinational companies, educational institutions and government sectors need to fund more R&D of such technologies and provide proper standardizations for producing and applying them. In addition, there is a necessity to bring in more technologists and developers to this technology. Artificial intelligence is steadily becoming a part in our daily lives, and its impact can be seen through the advancements made in the field of environmental sciences and environmental management. Attachment AI IN ENVIRONMENT TECH.pdf Cover Image Image Publish Location Tech for Good

Despite many challenges that we faced due to the pandemic in 2020, the momentum of growth for advanced technologies has continued. Especially, artificial intelligence (AI) is continuously finding increased usage in both the private and public sectors. During 2020, there were developments around natural language processing (NLP) techniques (for example, GPT-3 model built to produce human-like texts), virtual assistants, job automation, and more. And it appears that AI growth is not going to slow down anytime soon. In 2021, AI will become the core business technology.

At the core of good marketing lies in-depth customer insight. Before technology took over the world, customer insight was a lot tougher because it meant physical surveys, in-person interviews / meetings / conversations, etc. With technology allowing us to do many things at the click of a mouse, it is much easier to gather knowledge about what customers want, what they like, what they dislike, how they react to different marketing tools, etc.  Data Science and Analytics used to be a field associated with those in technical workspaces. However, it has become critical to digital marketing as well. Data science allows you to collect data about your customers while analytics segregates that into segments of different categories. Basis the quality of data acquired, this information can be the ammunition required to create a successful marketing strategy.  IAMAI’s recent research revealed that there are around 500 million active internet users in India. This is a HUGE opportunity for brands because it allows them to gather data from different geographies and demographics, tabulate it, infer from it and thereby utilise it to their advantage.  Was the content engaging? Did it reach the right people? How did the target audience react to the marketing targeted at them? What worked best? What didn’t work well? These are typical questions in the mind of any marketing professional that data science and analytics can answer. It also mitigates the risk massively because you can now offer a service / product that has a market, rather than use guesswork to create something.  Another huge change has been the extensive use of artificial intelligence, which is transforming digital strategies completely. Be it google AI, Siri, Alexa or any other assistant that caters to all our questions, we are slowly becoming heavily reliant on AI. It is believed that AI will become indispensable in all future digital tools and products, especially those connected to marketing.  If you are one of those that doesn’t use voice search through an assistant, you may think that artificial intelligence has not made its entry into your life but you are definitely mistaken. AI is also behind showing you relevant products based on your searches and purchases. It tracks your digital journey, recognises and analyses your behaviours and then shows you what you may like to see. This proves to be a win-win for both the customer and the brand as there is a higher chance of conversion.  Artificial intelligence is also effective in implementing good Customer Relationship Management through tools like AI chatbots. Programming the chatbot with relevant questions and answers can reduce the work of multiple people, thereby reducing costs in the long run. Global tech giants are choosing to combine data science, analytics and artificial intelligence in order to create a machinery that can be depended on for customer inputs and insight.  Although India is still in its nascent stage in terms of heavy use of this technology, it is catching up quickly. Some of the biggest firms across the country are realising its value and walking down this path. The question that arises always though is – how much is too much? How far should a brand dive into the lives of its potential customers for its benefit? What do you think? By Mr. Vikram Kumar, Co-Founder & Managing Director, SRV Media Pvt. Ltd. The post WHY DATA SCIENCE AND ARTIFICIAL INTELLIGENCE ARE DRIVING FORCES BEHIND DIGITAL MARKETING appeared first on NASSCOM Community |The Official Community of Indian IT Industry.

Artificial intelligence (AI) has become intertwined with our lives. From automated parking mechanisms to surveillance and personal assistants to autonomous flights, AI is all around us. And as this technology continues to impact these sectors of human existence, education isn't lagging either. The world of learning is becoming more convenient and customized thanks to the many applications of AI. Let's now take a look at nine practical ways this technology is impacting education across the world: Grading is among the demanding responsibilities that come with teaching.