futureanalytica

  What is Data Visualization? Before understanding Data Visualization let us understand what does the term Data means and why it has so much relevance? The term Data means any information which can help us to analyze and, take decisions. For example, the government has to roll out a scheme for people living below the poverty line. In that case, if the government does not have adequate data then it will not be able to predict how much allocation of funds is to be distributed area-wise. Therefore, data would be the information of people having income below the poverty line. That is why data becomes an important asset in any field. Now, that the term data is clear let us try to understand what does data visualization means. Let’s continue with the same example. When the government is making the plan regarding the distribution of funds, and while tabulating the data, the officials start using graphs, pie charts to identify various states or cities where a population below the poverty l...

  Insurance companies using the AI application have the potential to fast-track the sales and distribution to upsell and cross-sell the leads. Automated targeted marketing through the use of identifying the correlation of the bigdata, the insurance aggregators are optimizing the agency businesses. The intermediary strategies adopted by the online Insurance Brokers are driving sales to sell the policies which is the future of the insurance industry. The benefits of AI in insurance helps in gaining insights on inactive customers. The impact of AI on the future of insurance is providing efficient analytic tools to understand the insurer's profile and map the journey so re-engage the customers. Intelligent umbrella technologies such as examples of machine learning in insurance, the attention-demanding workflows that drive the best ROI to streamline the claim process, are the future of the insurance industry. AI in insurance use cases will help in keeping customers to buy hyper-personal...

  The hybrid way of working has resulted in a massive shift in the way organizations are leveraging AI  technology to adapt to the virtual way of functioning with teams. The machine learning in HR Analytics builds user-based algorithms which ease out critical tasks considered mundane. The deployment of  Artificial Intelligence in  Human Resources is probably a way for the sector to unburden the managers from day-to-day repetitive tasks in  HR. The impact of using AI and MLOps in organizations re-imagines the life cycle of employees is empowering the decision-making processes. The advancements in  machine learning in human resources are viewed as an opportunity that can make smarter data-driven decisions. The automation of processes with AI-based analytics enhances under-utilized data sets and gives deeper insight into hiring talent. AI-infused chatbots allow companies to use  AI in  ...

Artificial Intelligence is changing the landscape of  Hospitality Sector. The hospitality industry has realized that customer services with accurate insights are valuable to differentiate the brand positioning. Therefore, today intelligent robot concierges driven by AI to serve customers or do a few minuscule tasks have become a reality. ChatBots or  Virtual Assistants manage online chats and direct messaging are helping to target potential customers to ensure the best possible services for the guests. These conversational tools improve productivity, decision-making and sustain good practices in the hospitality industry. The autonomous agents with language translation can frictionlessly manage online promotions and book destinations keeping you informed of the filtered features deployed together with other social and necessary recommendations. The impact of artificial intelligence in the hospitality industry and the knowledge of machine learning in the hospitality in...

  In many ways, the data is the fuel to drive into the  future of mobility  leading to smart business decisions worldwide. The mobility sector creates a large amount of data regularly due to the rise in populations and changing consumer behaviors. To compete in the fast-paced environment it is vital to analyze and create insights from unstructured data which help the mobility planners to analyze and plan innovative strategies for healthy growth in cities. Organizations use big data analytics and AI to create data processing and analysis solutions to handle and analyze enormous amounts of data. This helps mobility companies in fleet management, predictive maintenance, vehicle data monitoring, and tracking. Big data, for example, enables organizations to provide a platform for road safety and management with the necessary real-time data and support for the citizens.  AI and machine learning (ML) algorithms  are rapidly advancing, becoming more functional and a...

The H ealthcare industry  is the fastest-growing sector as artificial intelligence and machine learning in healthcare brings changes and how we perceive human health. AI-enhanced diagnostics to surgical robotics, neural networks in drug discovery, machine learning in healthcare projects helps in informed decision-making. Pharmaceutical giants and healthcare providers combat human health through various  d eep learning   innovations  as  AI  technology is in the process of evolving across variable touchpoints. One of humanity's greatest challenges today is to provide quality access to rural and low-income settings for simple diagnoses for patients. The understanding of day-to-day patterns of a patient, the benefits of artificial intelligence used in the healthcare eco-system is vast. The future of machine learning in healthcare for new techniques in diagnosis processes is helping  AI  programs take treatment protocols that help in patient monitorin...