Placer.ai is among the companies seeking to expand in the high-growth industry of collecting location data from mobile consumers, a practice that has alarmed privacy advocates but continues to draw interest from investors, as this news shows. Spending on location analytics is expected to grow to $15 billion by 2023 from $8.35 billion in 2017, Placer.ai said in a study cited by Bloomberg. These businesses can use the information to identify where to rent or buy properties, or to measure the effect of advertising campaigns on consumer behavior such as store visits. In addition to helping businesses identify where to rent properties in areas of high foot traffic, real-time location data can help to boost the effectiveness of ad campaigns, according to a report last year by location data provider Factual. Location-based marketing, which Martin Sorrell, former CEO of ad-holding giant WPP, once described as the "holy grail" for advertising, reaches consumers when they're most ready to shop, dine out or visit an entertainment venue.
Adding artificial intelligence to supply chains is delivering tangible benefits for companies putting it in place. Recent research out of McKinsey finds 61% of executives report decreased costs and 53% report increased revenues as a direct result of introducing artificial intelligence into their supply chains. Areas generating revenue in supply chain management include sales and demand, forecasting, spend analytics, and logistics network optimization. I ran this question past Arnaud Morvan, senior engagement director at Aera Technology, a company that focuses on AI. "A reliance on obsolete legacy technologies creates a great deal of time-consuming and error-prone manual work for supply chain practitioners," Morvan points out. "They often spend about 50% of their time collecting and crunching numbers from disparate global systems. That adds weeks or months of delay to core processes that need to run faster to keep up with market demand."
As one of the leading enterprise AI software providers, C3.ai is renowned for building enterprise-scale AI applications and harnessing digital transformation. The C3 AI Suite is software that uses a model-driven architecture to speed up delivery and reduce the complexities of developing enterprise-scale AI applications. Supply Chain Digital takes a closer look at the AI firm. The Suite propels organisations to deliver AI-enabled applications quicker than alternative methods while reducing the technical debt from maintaining and upgrading these applications. Its solutions cater to a range of different industries such as manufacturing, oil and gas, utilities, banking, aerospace and defence, healthcare, retail, telecoms, smart cities and transportation.
Kremlin analysts could have used Twitter as a source of military intelligence to inform their actions in the 2014 Russia–Ukraine conflict, a study has found. University of California experts showed that location-tagged tweets by Ukraine residents could have been used to map out sentiments towards Russia in real-time. The map they made of pro-Kremlin regions turned out to bear a striking resemblance to the actual areas to which Russia dispatched its special forces. Specifically, this included Crimea and regions in the far east of Ukraine -- where the incoming forces would have been most likely to be seen as liberators. In contrast, the data could also reveal those areas where dispatching forces would have lead to greater resistance and corresponding casualties and costs.
With 2020 predictions looming, there's sure to be a fresh wave of hype around the edge and 5G. Now's an ideal time to solidify and update your understanding, and explore how they'll complement each other. If you're processing payments, taking online orders, detecting fraud, in the financial services industry, or exploring machine learning, these two technologies can help keep you competitive in the coming months. Edge computing is all about processing information from devices closer to where it's being created, rather than shuttling it back and forth from the cloud. Together with 5G, computing at the edge paves the way for applications that wouldn't have been possible before.
After carrying out a successful pilot at its Bagdad copper operation, Freeport McMoRan says it is rolling out a program across its North America and South America mines involving the use of data science, machine learning and integrated functional teams. The program, aimed at addressing bottlenecks, providing cost benefits and driving improved overall performance, was announced in its December quarter results this week. It said: "During 2019, FCX (Freeport) advanced initiatives in its North America and South America mining operations to enhance productivity, expand margins and reduce the capital intensity of the business through the utilisation of new technology applications in combination with a more interactive operating structure." It said the Bagdad mine (Arizona, USA) pilot program, initiated in late 2018, was "highly successful" in utilising these innovative technologies and it would build on this for the implementation across its other mines in North and South America. According to a report in the Financial Times, the system at Bagdad found that the mine was producing seven distinct types of ore and that the processing method, which involves flotation, could be adjusted to recover more copper by adjusting the PH level.
Sohan Lal Commodity Management (SLCM), India's leading agri services solutions provider with operations across India & Myanmar, has made its agri warehousing call centre paperless. SLCM had set up its first dedicated 24X7 call centre in the early 2010 to cater to its agri-warehousing operations in both the countries. The call centre has now been digitally transformed into a paperless entity integrating Artificial Intelligence, to make it more efficient and seamless. The call centre is a part of SLCM's endeavour to provide real time technologies for managing the agriculture operations, in line with its multiple awards winning Agri Reach technology. It will have a dedicated team of customer support executives who will provide support to the field staff.
Did you know that 86% of customers are willing to pay more for better customer experience (CX), and 73% consider CX an important factor that affects their purchasing decisions? Meanwhile, U.S. companies lose approximately $1.6 trillion annually due to poor CX that causes customers to switch to competitors. In a recent survey, 22% of companies identified customer experience as the most exciting business opportunity and creating an outstanding CX is the key to boosting customer acquisition and retention. However, delivering a consistent customer experience at scale can be quite a challenge. While personal interactions are important for building relationships with customers, the lack of standardized processes can lead to inefficiency and inconsistency that will create a frustrating experience.