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Inflation and its meaning to the economy

Inflation is a macroeconomic indicator that is measured by year-on-year (y-o-y) price change for consumer goods and services in an economy. The calculation of inflation is simple but it has a wide range of impacts on the economy. Inflation is important because it affects all aspects of the economy, from the wages people get paid to the value of their homes, from business investments to consumer spending decisions. Since prices are only one part of overall economic activity, inflation is often seen as a secondary concern compared to unemployment and growth in GDP.

Magic Quadrant for Business Intelligence and Analytics Platforms

Businesses need solutions that can fit their unique needs. Gartner's Magic Quadrant for Business Intelligence and Analytics Platforms helps organizations to understand which vendors offer the best products, services, and capabilities for their needs. Analytics and business intelligence solutions help uncover hidden insights across the enterprise, create a unified view across departments, and thus enable each department to sing from the same hymn sheet.

Assessing the ROI of Most Commonly Used Digital Marketing Strategies

Product concept testing

Do you have a brilliant idea for a new product but aren't sure if it will be successful in the market? If so, product concept testing may be just what you need. This process allows you to gather valuable feedback from potential customers before launching your product, which can save you time and money in the long run. In this article, we'll explore what product concept testing is, why it's important, how to conduct it effectively, and its numerous benefits.

5G and its benefit

5G technology is being focused on as the next generation of wireless communication standards, capable of providing super-fast speeds and more advanced capabilities. But what are its benefits? And what could be the biggest obstacles to widespread adoption?

Digital transformation barriers which prevent the growth of businesses

How Artificial Intelligence and Machine Learning Can Impact Market Design

In the age of machine learning and AI, there is a lot of conversation happening around Artificial Intelligence, Machine Learning, and using algorithms to shape the future of Design and the role of the designer. But how is that changing the way we work in the near future? AI and Machine Learning can be used in the Marketing and Retail industry to forecast consumer demand and producer supply as well as help target products and activities to finer segmented markets. Artificial Intelligence and Machine Learning are used in marketing to avoid market outcomes causing a high variance in prices, or worse, blackouts.

Will Artificial Intelligence Replace Computational Economists Any Time Soon?

As firms invest heavily in AI and other technologies to help train data scientists, some economists worry they will find themselves redundant. But a counter-argument is that even though AI can automate some duties of economists, the information set on which the AI models are trained – mainly based on decades of economic thinking and policymaking – has been developed by human economists, and AI cannot substitute for that. Regardless of the reinforcement learning models, -unsupervised or using Reinforcement Learning (RL) algorithms – that can boundlessly search, iterate and artificially test the possible relations among the infinite set of variables (economic and noneconomic) – beyond the theories developed in the literature – can detect new relations or optimal policies. This will lead to the formation of a complete set of AI-developed theories, or a significant revision in the “old pre-AI economics”. The question is, what will happen after that, when the community of ai economists replaces human economists? And how or whether it can be shaped?

What Can Artificial Intelligence Offer Coral Reef Managers?

Artificial intelligence is an exciting technological frontier for the coral reef remote sensing community, especially the emergence of machine learning algorithms for mapping and detecting features from aerial images of coral reef environments. Machine learning algorithms are finding uses in environmental remote sensing applications that are principally founded on three technological advances: The spatial resolution of remote sensing images has increased incrementally since Earth Observation images were first collected in the late 1960s. Greater detail and smaller features are now visible in coral reef environments. Notably, the widespread use of drone platforms for collecting images at low altitudes above coral reefs has made individual corals visible. What this means is that AI algorithms can detect changes to the health of an ecosystem or determine if an area is being damaged; on the other hand, these algorithms can also help identify areas that are overgrown by coral colonies with ease. The “big data revolution,” refers to the phenomenon of increased capture of earth observation images, which has delivered the information on which artificial intelligence relies to recognize environmental patterns and trends. Global repositories are now continuously updated to provide real-time satellite images, often freely downloadable, for observing coral reefs. A wealth of image-based information is now available for training and evaluating algorithms to interpret coral reefs from above Credit for the first use of a computer for numerical calculation in radiology goes to Dr. Edwin H. Northrop of the Mayo Clinic, who in 1951 showed that computed tomography (CT) scans could detect lung cancer at the early stages of the disease. Since then, this technique has become essential to diagnosis, enabling many people with a variety of cancers to have surgery tailored specifically to their cases.