Customers in the UK will soon find out. Recent reports suggest that three of the country's largest supermarket chains are rolling out surge-pricing in select stores. This means that prices will rise and fall over the course of the day in response to demand. Buying lunch at lunchtime will be like ordering an Uber at rush hour. This may sound pretty drastic, but far more radical changes are on the horizon.
Customers in the UK will soon find out. Recent reports suggest that three of the country's largest supermarket chains are rolling out surge pricing in select stores. This means that prices will rise and fall over the course of the day in response to demand. Buying lunch at lunchtime will be like ordering an Uber at rush hour. This may sound pretty drastic, but far more radical changes are on the horizon.
The global influence of Big Data is not only growing but seemingly endless. The trend is leaning towards knowledge that is attained easily and quickly from massive pools of Big Data. Today we are living in the technological world that Dr. Usama Fayyad and his distinguished research fellows discussed in the introductory explanations of Knowledge Discovery in Databases (KDD) predicted nearly two decades ago. Indeed, they were precise in their outlook on Big Data analytics. In fact, the continued improvement of the interoperability of machine learning, statistics, database building and querying fused to create this increasingly popular science- Data Mining and Knowledge Discovery. The next generation computational theories are geared towards helping to extract insightful knowledge from even larger volumes of data at higher rates of speed. As the trend increases in popularity, the need for a highly adaptive solution for knowledge discovery will be necessary. In this research paper, we are introducing the investigation and development of 23 bit-questions for a Metaknowledge template for Big Data Processing and clustering purposes. This research aims to demonstrate the construction of this methodology and proves the validity and the beneficial utilization that brings Knowledge Discovery from Big Data.
Intel and Microsoft have been on something of an artificial intelligence (AI) investment binge of late, with the chip and software giants announcing a slew of deals this week via their respective VC arms -- Intel Capital and Microsoft Ventures. Perhaps the most notable of these was Element AI, which raised a gargantuan $102 million in what is one of the largest series A rounds in recent times. The Montreal-based startup, which helps connect companies with machine learning experts, drew in some other interesting investors besides Intel and Microsoft, including rival chipmaker Nvidia. The Element AI deal followed just a day after Intel and Microsoft joined forces for a $15 million investment into CognitiveScale, a Texas-based startup that uses AI to harness big data and deliver insights and recommendations. The very same day, Intel participated in a $16 million round into California-based robotic vision startup Aeye, while on Monday Microsoft got involved in a $20 million funding round into CrowdFlower, a platform that meshes machines with human input to ensure data science teams have access to properly tagged, clean data.
REDWOOD CITY, Calif., FORT WORTH, Texas, and SAN FRANCISCO -- TPG Growth announced it has invested in C3 IoT, reinforcing its position in the Internet of Things (IoT) market. According to the company, C3 IoT applies the sciences of big data, advanced analytics, and machine learning to enable smart business processes. The C3 IoT Platform is a development environment that allows rapid design, development, and deployment of enterprise-scale big data and IoT applications. The platform aggregates and integrates large volumes of disparate data -- from sensors on equipment and machinery; enterprise operational systems such as financial transactional systems and enterprise resource planning (ERP) systems; and third-party sources such as weather data -- and delivers machine learning-based predictive analytics to improve operational efficiencies, enhance customer engagement, and differentiate products and services. C3 IoT provides pre-built software as a service (SaaS) applications, including predictive maintenance, fraud detection, energy management, and network sensor health for organizations in manufacturing, oil and gas, health care, retail, aerospace, transportation, telecommunications, and the public sector.