Chinese electric vehicle stocks have seen some moderation in momentum in recent sessions. One upcoming catalyst could lift the stocks out of this lackluster phase: the January delivery numbers that are due next week. Finding The Sweet Spot In China’s EV Market: China is a hot EV market, both from the perspective of the addressable market opportunity and supply. “China is a greenfield EV market opportunity for many well positioned auto players as we believe overall EV sales can potentially double in the region over the next few years given the pent-up demand for EV vehicles from customers across all price points,” Wedbush analyst Daniel Ives said in a note. Goldman Sachs analyst Fei Feng estimates EV penetration, including battery electric and plug-in hybrid vehicles, will increase from 5% in 2020 to 20% in 2025, 53% in 2035 and 80% in 2050. Xu Haidong, the deputy chief engineer of China Association of Automobile Manufacturers, said in a summit late last year that China’s EV sales might reach 1.8 million units in 2021 — up 40% from a year earlier — thanks to stable economic growth, continuous stimulus policies on vehicle consumption and sales promotions by manufacturers. Yet the supply side is crowded with homegrown startups, international pure-play EV company Tesla Inc (NASDAQ: TSLA) and traditional automakers all vying for a piece of cake. Among the players in China, the standouts include Nio Inc – ADR (NYSE: NIO), Xpeng Inc – ADR (NYSE: XPEV), Li Auto Inc. (NASDAQ: LI) and WM Motors, backed by both Baidu Inc (NASDAQ: BIDU) and technology conglomerate Tencent Holdings ADR (OTC: TCEHY). Deutsche Bank Securities analyst Edison Yu said the firms are collectively the “Fab Four” of the China EV market. Nio On Record Streak: Nio, which has a premium positioning in the China EV market, has been reporting record delivery numbers of late. After the COVID-19 pandemic affected sales in the first two months of 2020, the company acquitted itself credibly through a series of innovative measures and technological enhancements. The company ended 2020 on a high, having delivered a record 43,728 vehicles for the year. It has been churning out record monthly numbers since August 2020. In December, Nio delivered a record 7,007 vehicles, comprising 2,009 ES8s, 2,493 ES6s, and 2,505 of the company’s newly launched EC6s. Deliveries are sitting at a not-so-robust pace of 1,598 in January 2020. Given that Nio announced it would make good the reduction in government subsidies for vehicles purchased through Jan. 10 and a limited period zero down payment option, the pace of sales will likely have accelerated further. Nio’s battery-as-a-service scheme has already begun to show a positive impact on sales. Related Link: Nio Analyst Sees Meaningful Tailwinds For EV Brand’s Sales Volume Xpeng Makes The Right Noises: Xpeng, which listed its ADSs on the NYSE in late August, has also joined the party. “XPeng is well positioned to take market share in the mid-tier and lower premium market, delivering a tech-centric ‘smart’ experience through pushing the limits of its ADAS features and cockpit user interface functionality, especially in voice recognition,” Deutsche Bank’s Yu said in a note. Xpeng — which sells the G3, an EV SUV and the P7, an all-electric sedan — is expected to launch a new sedan with lidar technology this year. Earlier this week, the company launched a major over-the-air upgrade for its P7 sedan customers in China, delivering a new version of XPeng’s operating system, Xmart OS 2.5.0. In December, Xpeng delivered a record number of 5,700 vehicles, a 326% increase year-over-year and a 35% increase month-over-month. For the year, the company delivered a total of 27,041 vehicles, a 112% increase year-over-year. Li Auto’s Robust Performance: Li Auto also turned in a stellar December performance, with deliveries of 6,126 Li ONEs in December and 14,464 units for 2020. The monthly performance represented increases of 31.9% month-over-month and 529.6% year-over-year. Chinese EV Stock Performance: Nio shares ran up to record highs of $66.99 Jan. 11, reacting to the Nio Day event held Jan. 9. Since then, the stock has pulled back. Xpeng, meanwhile, peaked at $74.49 Dec. 24 before pulling back. After moving roughly sideways thereafter, the stock has staged a comeback in recent sessions. Li Auto is witnessing a lean patch after it hit an all-time high of $47.70, also on Dec. 24. The upcoming week’s delivery numbers and the imminent fourth-quarter results could be the key to determine which way the stocks are headed. Photo courtesy of Nio. See more from BenzingaClick here for options trades from BenzingaBreaking Down Novavax’s Coronavirus Vaccine Data: 2 Analyst TakesJohnson & Johnson’s COVID-19 Vaccine Data: What You Need to Know© 2021 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
Teleport, AirAsia’s logistics division, has launched Freightchain — a world’s first digital air cargo network run on blockchain. Freightchain is a digital network for air cargo run by airlines, born on blockchain. Freightchain offers instant cargo bookings to shippers and freight forwarders.
Since its launch on April 16, Freightchain allows a shipper or freight forwarder to instantly book and confirm any of AirAsia’s 247 aircraft to carry cargo, without the need to go through traditional time-consuming sales or email channels.
AirAsia claims that Freightchain efficiently discovers all available routings and facilitates on-demand bookings in minutes through bids submitted and validated on blockchain.
Freightchain is built using Hyperledger Sawtooth, an enterprise blockchain platform for building distributed ledger applications and networks, under Linux Foundation’s Hyperledger open source umbrella project that deals in blockchains and related tools.
Interestingly, the first pilot booking on Freightchain was successfully conducted to ship pharmaceutical cargo from Bengaluru, India to Ulan Bator, Mongolia. An instant itinerary via Kuala Lumpur, Malaysia and Seoul, South Korea was confirmed in real-time with flights from three different carriers through a smart contract on blockchain.
Due to the unavailability of direct flights from Bengaluru to Ulan Bator, the shipper had to manually enquire about the availability of connecting flights with multiple airlines and agents over phone calls and emails, a very tedious and time-consuming process. Freightchain simplified the booking process and confirmed the itinerary 10 times faster for shippers by programmatically discovering the available routes with connecting flights within the shipper’s budget and passing on significant cost savings to shippers. For the airlines, the dynamic on-demand interlining of flights helped improve otherwise underutilized flights.
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Everyone who flies has experienced a flight delay at some point. Delays have negative impacts: for passengers there is nothing worse than being trapped in an airport and for airlines it is lost revenue.
Analysts are always looking for answers to reduce flight delays. They want it now. Not six months from now. They are asking for analytical capabilities to discover innovative answers to their questions. While analysts are looking for those data insights, leadership wants insights delivered in a clear and concise format to understand the business. IT can’t deal with difficult to manage legacy approaches requiring expensive teams with highly specialized skills.
Analyzing Flight Delays
For many airlines and passengers, one key performance measure comes to mind more than any other: flight delays. A delay is any period of time which a flight is late. It’s the difference between the time scheduled on your boarding passes and when you actually board the plane.
In this blog, we will target primary risk factors leading to delays and cancellations from the month of January 2018 to understand the five most common types of delays: carrier delay, weather delay, National Air System (NAS) delay, security delay, and late aircraft delay.
Understanding the Data Set
Using data visualizations to identify patterns and analyze flight delays increases the amount of time that planes are in the air with minimal effort by locating the weak links in the chain. For example, the data showed that in January 2018 alone domestic airlines collectively suffered 97,760 delays and 17,169 cancellations of schedule flights. We continued to drill into this raw data set to understand delays by these categories: classification, airport, airline, state, and days of the month. Airlines not only reduce costs by strategically identifying and mitigating major delays, but also monetize their data by targeting key areas where they can most easily improve their service delivery for customers.
We looked at the following questions:
- What could I be delayed by and how long will my delay take?
- Which are the best and worst days to fly based on expected delays?
- Which state has the most flight cancellations?
- Which airlines operated the most flights and had the most delays?
- Which airports had the most departures and experienced the most delays?
To get started, we downloaded the public-domain Airline On-Time Performance dataset from Bureau of Transportation Statistics for the month of January 2018. This dataset has 570,119 rows.
There are multiple ways to upload data to Oracle Cloud for analysis using Oracle Autonomous Data Warehouse. For this example, we uploaded the data pulled from the Bureau of Transportation Statistics and reviewed the data in Data Visualization Desktop.
Here’s a quick snapshot of the data from Data Visualization Desktop:
1. What could I be delayed by and how long will my delay take?
There are many reasons why you can experience flight delays. This graph showcases carrier, weather, National Air System (NAS), security, and late aircraft delays. We can see that on average the longest delays are caused by late aircraft delays (over 25 minutes) while the shortest delays are caused by security delays (less than a minute).
Challenge: Download the data from the Bureau of Transportation Statistics for the month of December 2017 and do a similar analysis.
2. Which are the best and worst days to fly based on expected delays?
For January 2018, the worst days to travel were the 12th and the 17th, where both days had an aggregate of over 7000 hours of flights delays. Our initial hypothesis was there would be a strong correlation between flight delays and number of flights. Our expectation was that a reduction in the number of flights meant reduced strain on capacity leading to a proportionate reduction of delays. However, when we overlaid the number of flights, we found that the number of flights remained relatively stable throughout January 2018. This mean that the flight delays experienced was independent of the number of flights. The best days to fly were the 27th and 31st. On average, flights took off early!
Challenge: Overlay pricing data to identify fluctuations in price depending on the day of the month.
3. Which state has the most flight delays?
Florida followed by Illinois and California have the highest total flight delays in the month of January 2018. In Data Visualization Desktop, you can hover over the states to see the exact amount of departure delays.
Challenge: Drill down to a specific day of the month and overlay with weather to show how weather is affecting flight delays.
*For visualizations #4, we will use the “My Calculations” tool to determine the total flights operated by each airline. We do this by taking a count of the flights operated by each unique carrier (seen above). In visualization #5, apply “My Calculations” to determine the total flights departing from each airport.
4. Which airlines operated the most flights and had the most delays?
In this visualization, we see the total amount of flights operated by each airline and corresponding delays.
Challenge: Based on the data above, which airlines have a disproportionate amount of delays?
5. Which airports had the most departures and experienced the most delays?
In this visualization, we see the total flights departing from each origin airport and the corresponding delays. The airports with the most departures flights are Hartsfield–Jackson Atlanta International Airport (ATL) followed by O’Hare International Airport (ORD) and Dallas/Fort Worth International Airport (DFW).
Airports that experienced the most net delays were: O’Hare International Airport (ORD), Hartsfield–Jackson Atlanta International Airport (ATL), and Dallas/Fort Worth International Airport (DFW). In just the month of January, the net delays from O’Hare International Airport totaled just over 397,000 minutes of delay which equates to 276 days.
Challenge: Delays are not only caused by the origin airport but also by the destination airport. Try replicating our results but with destination airports. What observations can you draw from comparing delays from origin and destination airports?
Oracle Autonomous Database allow users to easily create data marts in the cloud with no specialized DBA skills and generate powerful business insights. It took us less than ten minutes to provision a database and upload data for analysis.
Now you can also leverage the autonomous data warehouse through a cloud trial:
Please visit the blogs below for a step-by-step guide on how to start your free cloud trial: upload your data into OCI Object Store, create an Object Store Authentication Token, create a Database Credential for user and load data using the Data Import Wizard in SQL Developer:
- Data Warehouse 101: Introduction
- Data Warehouse 101: Provisioning
- Data Warehouse 101: Setting Up Object Store
Feedback and question welcome. Tell us about the delays you’ve personally experienced!
Written by Sai Valluri and Philip Li
COPENHAGEN, Denmark and ARMONK, N.Y., Aug. 9, 2018 /PRNewswire/ — In a follow up to their January announcement, A.P. Moller –Maersk (MAERSKb.CO) and IBM (NYSE: IBM) today announced the creation of TradeLens, jointly developed by the two companies to apply blockchain to the world’s global supply chain. TradeLens is the result of a collaboration agreement between Maersk and IBM, a blockchain-enabled shipping solution designed to promote more efficient and secure global trade, bringing together various parties to support information sharing and transparency, and spur industry-wide innovation.
As part of the TradeLens early adopter program, IBM and Maersk also announced that 94 organizations are actively involved or have agreed to participate on the TradeLens platform built on open standards. The TradeLens ecosystem currently includes:
- More than 20 port and terminal operators across the globe, including PSA Singapore, International Container Terminal Services Inc, Patrick Terminals, Modern Terminals in Hong Kong, Port of Halifax, Port of Rotterdam, Port of Bilbao, PortConnect, PortBase, and terminal operators Holt Logistics at the Port of Philadelphia, join the global APM Terminals’ network in piloting the solution. This accounts for approximately 234 marine gateways worldwide that have or will be actively participating on TradeLens.
- Pacific International Lines (PIL) have joined Maersk Line and Hamburg Süd as global container carriers participating in the solution.
- Customs authorities in the Netherlands, Saudi Arabia, Singapore, Australia and Peru are participating, along with customs brokers Ransa and Güler & Dinamik.
- Participation among beneficial cargo owners (BCOs) has grown to include Torre Blanca / Camposol and Umit Bisiklet.
- Freight forwarders, transportation and logistics companies including Agility, CEVA Logistics, DAMCO, Kotahi, PLH Trucking Company, Ancotrans and WorldWide Alliance are also currently participating.
TradeLens uses IBM Blockchain technology as the foundation for digital supply chains, empowering multiple trading partners to collaborate by establishing a single shared view of a transaction without compromising details, privacy or confidentiality. Shippers, shipping lines, freight forwarders, port and terminal operators, inland transportation and customs authorities can interact more efficiently through real-time access to shipping data and shipping documents, including IoT and sensor data ranging from temperature control to container weight.
Using blockchain smart contracts, TradeLens enables digital collaboration across the multiple parties involved in international trade. The trade document module, released under a beta program and called ClearWay, enables importers/exporters, customs brokers, trusted third parties such as Customs, other government agencies, and NGOs to collaborate in cross-organizational business processes and information exchanges, all backed by a secure, non-repudiable audit trail.
During the 12-month trial, Maersk and IBM worked with dozens of ecosystem partners to identify opportunities to prevent delays caused by documentation errors, information delays, and other impediments. One example demonstrated how TradeLens can reduce the transit time of a shipment of packaging materials to a production line in the United States by 40 percent, avoiding thousands of dollars in cost. Through better visibility and more efficient means of communicating, some supply chain participants estimate they could reduce the steps taken to answer basic operational questions such as “where is my container” from 10 steps and five people to, with TradeLens, one step and one person.
More than 154 million shipping events have been captured on the platform, including data such as arrival times of vessels and container “gate-in”, and documents such as customs releases, commercial invoices and bills of lading. This data is growing at a rate of close to one million events per day. Traditionally, some of this data can be shared through the EDI systems commonly used in the supply chain industry but these systems are inflexible, complex, and can’t share data in real-time. Too often, companies must still share documents via email attachment, fax and courier. TradeLens can track critical data about every shipment in a supply chain, and offers an immutable record among all parties involved.
“TradeLens uses blockchain technology to create an industry standard for the secure digitization and transmission of supply chain documents around the world,” commented Peter Levesque, CEO of Modern Terminals. “This initiative will generate tremendous savings for our industry over time while enhancing global supply chain security. Modern Terminals is pleased to participate as a Network Member in testing this exciting shipping industry innovation.”
“As a global logistics provider, CEVA sees a unique opportunity in TradeLens, joining forces with IBM, Maersk and other actors from our industry to promote global standards around an open and neutral solution, delivering on the promise of blockchain. It is an important step in our relentless journey to deliver increased value to all our customers and making business flow,” said Christophe Cachat, CIO of CEVA Logistics.
“We believe blockchain can play an important role in digitizing global shipping, an area of the global economy that moves four trillion dollars of goods every year. However, success with the technology rests on a single factor –bringing the entire ecosystem together around a common approach that benefits all participants equally,” said Bridget van Kralingen, senior vice president, IBM Global Industries, Solutions and Blockchain. “Our work with Maersk and other enterprises in the shipping ecosystem has shown that blockchain can be used to form a strong, connected network in which all members gain by sharing important data and that together we can transform a vital part of how global trade is conducted.”
Joint collaboration model to maximize industry adoption
Since announcing the jointly developed solution to digitize global trade in January 2018, and based on feedback from various members of the global supply chain ecosystem who would like to adopt the technology, IBM and Maersk have modified the go to market model and will now deliver their solution through an extension of their pre-existing collaboration agreement instead of a joint venture.
“Our joint collaboration model allows us to better address key feedback from ecosystem participants while ensuring TradeLens interoperability and data protection among Maersk, IBM and all ecosystem participants,” said Mike White, TradeLens leader for Maersk. “We strongly believe this will maximize industry adoption.”
Standards discussions are actively underway with openshipping.org and work to align the TradeLens APIs with UN/CEFACT standards is in progress. The TradeLens APIs are open and available for developer access and feedback from participants in the platform.
The TradeLens solution is available today through the Early Adopter Program. TradeLens is expected to be fully commercially available by the end of this year.
For more information about TradeLens and what ecosystem participants are saying about this solution, please visit: www.tradelens.com
A.P. Moller – Maersk is an integrated container logistics company working to connect and simplify its customers’ supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 76,000 people.For more information about Maersk, visit https://maersk.com/ or follow us on Twitter at @maersk.
IBM is the leader in open-source blockchain solutions built for the enterprise. As an early member of Hyperledger and active contributor to the Hyperledger Fabric and Stellar blockchain projects, IBM is dedicated to advance cross-industry blockchain technologies supporting the development of openly-governed transactional business networks. IBM has worked with more than 400 clients across financial services, supply chains, IoT, risk management, digital rights management and healthcare to implement blockchain applications. For more information about IBM Blockchain, visit https://www.ibm.com/blockchain/.
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One of our customer has ASG-S500-10-U10K appliance which is supposed to have 96GB RAM as per the data sheet. But when we checked from the GUI we saw the RAM as 65536MB. Is this normal in case of an ASG?. Does the data sheet show the max RAM size and not the default one?. The data sheet link is given below.
Every June for as long as I can remember I have participated in Pride Festivals across the United States. From Minneapolis, to Nashville, to San Francisco, to Winston Salem, the message is ALWAYS the same: LOVE is LOVE. It’s really a simple thought. Love is Love. A man and a woman, and man and a man, a woman and a woman. Sometimes the turnout varies in size at these events, but the message is always the same: Love is Love. So in order to help learn how to be a better Ally, here are just a few tips I’ve picked … READ MORE
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The mining pool of HDAC, a Korean blockchain-based IoT platform and issuer of the Hyundai-DAC token (DAC), has been hacked. This forced the company to temporarily halt withdrawals, TokenPost reported Thursday, May 24.
HDAC’s founder Chung Dae-sun is the nephew of the CEOs of Hyundai Group and Hyundai Motors, the globally renowned car manufacturer. HDAC’s ICO was launched in 2017 by a conglomerate that includes Dae-sun’s software and construction firm Hyundai BS&C and its fintech and blockchain subsidiary HyundaiPay.
According to TokenPost, HDAC’s mining pool server was breached by attackers who gained access to the pool’s internal system. In the wake of the hack, HyundaiPay told TokenPost that:
“The HyundaiPay team does not intervene in the operations of the [DAC token] mining pool. HyundaiPay’s servers and the HDAC blockchain itself are not impacted by the breach… not all of the [299 mining pool] participants have been affected. While HyundaiPay cannot provide exact details in regards to the reach of the hack, the team estimates that the vast majority of miners have been affected.”
Although HyundaiPay states that it is not involved in the DAC token mining pool, according to TokenPost it is one of the official developers of the HDAC platform, which aims to use its blockchain-based IoT technology to improve security for smart factories and homes, among other IoT-related applications.
The HDAC team suggested in a recent interview that the Hyundai-DAC token “could be used to pay for a car rental, toll roads, car parking fees, and gas.” They explained that the platform’s “family ties” to the internationally renowned Hyundai Motors are helping initial growth, as well as influencing the project.
Porsche came out in February of this year as “the first” car manufacturer to test blockchain systems for use by drivers, as well as for driverless cars. Earlier this month, Cointelegraph reported on the launch of the Mobility Open Blockchain Initiative (MOBI), which involves thirty participants, including BMW, GM, Ford, Renault, Hyperledger, IBM and IOTA.
Ford has also filed a blockchain patent this year aiming to influence driver behavior by using the exchange of crypto tokens to facilitate traffic flow between cars.