In a recent announcement, ChargePoint noted that it was making a significant investment in the application of networking and information security technology for its operations. The initiative is expected to help ChargePoint achieve reliability of almost 100% once the technologies are fully implemented.
ChargePoint’s Network Operations Center (NOC) will implement 24/7 proactive station monitoring, predictive analytics and leverage applied machine learning to detect station downtime quickly. This, in turn, improves charger uptime and ensures faster incident response. ChargePoint will also be introducing a comprehensive training program that aims to certify contractors that install EV charging infrastructure.
“The NOC’s machine learning and Natural Language Processing capabilities will automatically process big data feeds, and social media mentions to pinpoint individual charging stations with issues. The rapid identification and diagnosis of these issues will in turn enable 24 hour response and subsequent remediation action for ChargePoint Assure Pro customers. The net effect is that charging station hardware issues can be diagnosed remotely and remediated quickly. This, combined with the integration of predictive analytics, will make it possible to resolve certain issues before a charging station owner even notices an issue,” ChargePoint noted in a press release.
ChargePoint currently delivers 96% uptime across its entire public network in North America and Europe. For ChargePoint Assure customers, the EV charging network’s uptime is estimated at over 98%. Considering the company’s recent announcement, however, it appears that ChargePoint is determined to provide the best service possible to its customers, period.
Rick Wilmer, Chief Operating Officer, shared a comment about the matter. “Accessible, reliable EV charging plays a critical role in the ongoing shift to electric mobility, and our Network Operations Center is prepared to ensure reliability at scale in support of EV adoption.
“We believe that our methodology of calculating uptime is the most transparent in the industry, and the most relevant to drivers which provides us with the necessary benchmark to build upon. We are improving the charging experience across the entire ecosystem – network, installer, site host, and app user – to ensure every driver who needs a charge has the best possible charging experience,” Wilmer said.
Overall, ChargePoint seems determined to ensure that its charging stations are used by as many EV owners as possible. In an announcement back in late June, the company noted that Tesla’s North American Charging Standard (NACS) connectors would be available on its chargers. The news was received warmly by electric vehicle owners.
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Tesla executive moves on after 13 years: ‘It has been a privilege to serve’
“It is challenging to encapsulate 13 years in a single post. The journey at Tesla has been one of continuous evolution. From the technical intricacies of designing, building, and operating one of the world’s largest AI clusters to impactful contributions in IT, Security, Sales, and Service, it has been a privilege to serve,” Jegannathan said in the post.
Tesla executive Raj Jegannathan is moving on from the company after 13 years, he announced on LinkedIn on Monday.
“It is challenging to encapsulate 13 years in a single post. The journey at Tesla has been one of continuous evolution. From the technical intricacies of designing, building, and operating one of the world’s largest AI clusters to impactful contributions in IT, Security, Sales, and Service, it has been a privilege to serve,” Jegannathan said in the post.
After starting as a Senior Staff Engineer in Fremont back in November 2012, Jegannathan slowly worked his way through the ranks at Tesla. His most recent role was Vice President of IT/AI Infrastructure, Business Apps, and Infosec.
However, it was reported last year that Jegannathan had taken on a new role, which was running the North American sales team following the departure of Troy Jones, who had held the position previously.
While Jegannathan’s LinkedIn does not mention this position specifically, it seemed to be accurate, considering Tesla had not explicitly promoted any other person to the role.
It is a big loss for Tesla, but not a destructive departure. Jegannathan was one of the few company executives who answered customer and fan questions on X, a unique part of the Tesla ownership experience.
Tesla to offer Full Self-Driving gifting program: here’s how it will work
It currently remains unclear if Jegannathan was removed from the position or if he left under his own accord.
“As I move on, I do so with a full heart and excitement for what lies ahead. Thank you, Tesla, for this wonderful opportunity!” he concluded.
The departure marks a continuing trend of executives leaving the company, as the past 24 months have seen some significant turnover at the executive level.
Tesla has shown persistently elevated executive turnover over the past two years, as names like Drew Baglino, Rohan Patel, Rebecca Tinucci, Daniel Ho, Omead Afshar, Milan Kovac, and Siddhant Awasthi have all been notable names to exit the company in the past two years.
There are several things that could contribute to this. Many skeptics will point to Elon Musk’s politics, but that is not necessarily the case.
Tesla is a difficult, but rewarding place to work. It is a company that requires a lot of commitment, and those who are halfway in might not choose to stick around. Sacrificing things like time with family might not outweigh the demands of Tesla and Musk.
Additionally, many of these executives have made a considerable amount of money thanks to stock packages the company offers to employees. While many might be looking for new opportunities, some might be interested in an early retirement.
Tesla is also in the process of transitioning away from its most notable division, automotive. While it still plans to manufacture cars in the millions, it is turning more focus toward robotics and autonomy, and these plans might not align with what some executives might want for themselves. There are a wide variety of factors in the decision to leave a job, so it is important not to immediately jump to controversy.
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Lemonade launches Tesla FSD insurance program in Oregon
The program was announced by Lemonade co-founder Shai Wininger on social media platform X.
Tesla drivers in Oregon can now receive significant insurance discounts when using FSD, following the launch of Lemonade’s new Autonomous Car insurance program.
The program was announced by Lemonade co-founder Shai Wininger on social media platform X.
Lemonade launches FSD-based insurance in Oregon
In a post on X, Wininger confirmed that Lemondade’s Autonomous Car insurance product for Tesla is now live in Oregon. The program allows eligible Tesla owners to receive roughly 50% off insurance costs for every mile driven using Tesla’s FSD system.
“And… we’re ON. @Lemonade_Inc’s Autonomous Car for @Tesla FSD is now live in Oregon. Tesla drivers in Oregon can now get ~50% off their Tesla FSD-driven miles + the best car insurance experience in the US, bar none,” Wininger wrote in his post.
As per Lemonade on its official website, the program is built on Tesla’s safety data, which indicates that miles driven using FSD are approximately twice as safe as those driven manually. As a result, Lemonade prices those miles at a lower rate. The insurer noted that as FSD continues to improve, associated discounts could increase over time.
How Lemonade tracks FSD miles
Lemonade’s FSD discount works through a direct integration with Tesla vehicles, enabled only with a driver’s explicit permission. Once connected, the system distinguishes between miles driven manually and those driven using FSD, applying the discount automatically to qualifying miles.
There is no minimum FSD usage requirement. Drivers who use FSD occasionally still receive discounted rates for those miles, while non-FSD miles are billed at competitive standard rates. Lemonade also emphasized that coverage and claims handling remain unchanged regardless of whether a vehicle is operating under manual control or FSD at the time of an incident.
The program is currently available only to Teslas equipped with Hardware 4 or newer, running firmware version 2025.44.25.5 or later. Lemonade also allows policyholders to bundle Tesla insurance with renters, homeowners, pet, or life insurance policies for additional savings.
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Tesla exec: Preparations underway but no firm timeline yet for FSD rollout in China
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla has not set a specific launch date for Full Self-Driving in China, despite the company’s ongoing preparations for a local FSD rollout.
The information was related by Tesla China Vice President Grace Tao in a comment to local media.
Tesla China prepares FSD infrastructure
Speaking in a recent media interview, the executive confirmed that Tesla has established a local training center in China to support the full adaptation of FSD to domestic driving conditions, as noted in a report from Sina News. However, she also noted that the company does not have a specific date when FSD will officially roll out in China.
“We have set up a local training center in China specifically to handle this adaptation,” Tao said. “Once officially released, it will demonstrate a level of performance that is no less than, and may even surpass, that of local drivers.”
Tao also emphasized the rapid accumulation of data by Tesla’s FSD system, with the executive highlighting that Full Self-Driving has now accumulated more than 7.5 billion miles of real-world driving data worldwide.
Possible 2026 rollout
The Tesla executive’s comments come amidst Elon Musk’s previous comments suggesting that regulatory approval in China could arrive sometime this 2026. During Tesla’s annual shareholder meeting in November 2025, Musk clarified that FSD had only received “partial approval” in China, though full authorization could potentially arrive around February or March 2026.
Musk reiterated that timeline at the World Economic Forum in Davos, when he stated that FSD approval in China could come as early as February.
Tesla’s latest FSD software, version 14, is already being tested in more advanced deployments in the United States. The company has also started the rollout of its fully unsupervised Robotaxis in Austin, Texas, which no longer feature safety monitors.