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Tesla gets first place in inaugural Industrial Digital Transformation Report
ARC Advisory Group, a technology and research firm founded in 1986, recently released its inaugural Industrial Digital Transformation Top 25 special report. The report analyzes companies across several industries and ranks them based on how well they excel at integrating digital technologies in all areas of their business. Tesla took the number one spot in ARC’s inaugural list.
As per ARC’s report, companies that do well in the integration of digital technologies fundamentally change the way they operate and deliver value to their customers. Marianne D’Aquila, ARC’s director of research, noted that companies that lead in digital transformations usually gain a competitive advantage in their respective industries.
“Digital transformation leaders across many different industries share common traits and visions, helping them overcome complex challenges to innovate and stay agile. Industrial innovation continues to accelerate, and leading companies have their transformation initiatives well underway. For those who succeed, the result is a competitive advantage, even during the most difficult economic times.” the director of research noted.
ARC developed a rather rigorous process to identify and rank the companies in its inaugural Industrial Digital Transformation Top 25 report. The ranking covered three main components of a business — financial indicators, transformation indicators, and collective intelligence. Financial indicators were analyzed by studying a company’s publicly-available financial data, transformation indicators were scored based on software and Environment, Social, and Governance (ESG) data, and collective intelligence was based on selection and ranking by ARC’s own analysts.
As noted by ARC in its report, the companies that made its Top 25 were from a variety of industries. “They share a common thread of leveraging digital technologies to transform business capabilities and outcomes, giving them a competitive advantage during challenging global circumstances. While some shifted their digital transformation efforts during the pandemic, all had some level of preparation prior and have an eye toward the future. For them, digital transformation is not an option, it is a necessity to survive and thrive,” the report read.
ARC Advisory Group describes its reasons for selecting Tesla as the number one company for its inaugural Digital Transformation Top 25 in the following section:
“Some may argue that Tesla started out as a transformative company rather than one that has recently transformed, given that its intent was to disrupt the automotive industry. The company’s growth has been fueled by several bold digital strategies. Founded in 2003, the company’s message from day one was not that an electric car could be good but that it could be better.
“Tesla’s fundamental philosophy internally and externally is to shift perception. Prior to Tesla, the market perception of electric vehicles was a slow, ugly juiced up car with little range. Tesla shifted this perception to one of being a sleek high performance and accelerated mode of transformation. This same strategy is used inside the organization to gain buy-in for digital initiatives and process. For example, when Tesla sets out to automate its internal processes, they try to build it better from the start rather than start a clunky project and hope to get better on revision 4 or 5. This orientation is fundamental in determining what KPIs the company values, as many of them are far different from metrics managed by manufacturers relying on traditional views of success.”
The advisory group also highlighted Tesla’s approach to vehicles, which sees cars more like computers on wheels than intricate machines that take people from Point A to Point B. This strategy, according to ARC, has allowed the company to deliver more value to its customers, making Tesla a distinct automaker whose products are near-incomparable to their competition.
“By showing value from the start and having internal stakeholders support initiatives, internal employee resistance is minimized. As ARC sees it, this is an example of a company that is comfortable with digital transformation and adapts to business challenges with greater ease quickly. Tesla’s digital connectivity has allowed the company to deliver more value to consumers. Their business model is built on the tenet that the vehicles are more like interactive computers with wheels, leading to the creation of an intelligent data platform and connected ecosystem, enabling Tesla to learn from and serve its customers.
“In Q3 2021, Tesla has publicly stated it plans to grow manufacturing capacity as quickly as possible. Over a multi-year horizon, Tesla expects to achieve 50 percent average annual growth in vehicle deliveries. This rate of growth will depend on Tesla’s equipment capacity, operational efficiency, and the capacity and stability of the supply chain.”
A copy of ARC Advisory Group’s inaugural Industrial Digital Transformation Top 25 report can be requested here.
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Tesla FSD v14.2.2 is getting rave reviews from drivers
So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Tesla Full Self-Driving (Supervised) v14.2.2 is receiving positive reviews from owners, with several drivers praising the build’s lack of hesitation during lane changes and its smoother decision-making, among others.
The update, which started rolling out on Monday, also adds features like dynamic arrival pin adjustment. So far, early testers have reported buttery-smooth drives with confident performance, even at night or on twisty roads.
Owners highlight major improvements
Longtime Tesla owner and FSD user @BLKMDL3 shared a detailed 10-hour impression of FSD v14.2.2, noting that the system exhibited “zero lane change hesitation” and “extremely refined” lane choices. He praised Mad Max mode’s performance, stellar parking in locations including ticket dispensers, and impressive canyon runs even in dark conditions.
Fellow FSD user Dan Burkland reported an hour of FSD v14.2.2’s nighttime driving with “zero hesitations” and “buttery smooth” confidence reminiscent of Robotaxi rides in areas such as Austin, Texas. Veteran FSD user Whole Mars Catalog also demonstrated voice navigation via Grok, while Tesla owner Devin Olsen completed a nearly two-hour drive with FSD v14.2.2 in heavy traffic and rain with strong performance.
Closer to unsupervised
FSD has been receiving rave reviews, even from Tesla’s competitors. Xpeng CEO He Xiaopeng, for one, offered fresh praise for FSD v14.2 after visiting Silicon Valley. Following extended test drives of Tesla vehicles running the latest FSD software, He stated that the system has made major strides, reinforcing his view that Tesla’s approach to autonomy is indeed the proper path towards autonomy.
According to He, Tesla’s FSD has evolved from a smooth Level 2 advanced driver assistance system into what he described as a “near-Level 4” experience in terms of capabilities. While acknowledging that areas of improvement are still present, the Xpeng CEO stated that FSD’s current iteration significantly surpasses last year’s capabilities. He also reiterated his belief that Tesla’s strategy of using the same autonomous software and hardware architecture across private vehicles and robotaxis is the right long-term approach, as it would allow users to bypass intermediate autonomy stages and move closer to Level 4 functionality.
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Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel.
The U.S. Department of War announced Monday an agreement with Elon Musk’s xAI to embed the company’s frontier artificial intelligence systems, powered by the Grok family of models, into the department’s bespoke AI platform GenAI.mil.
The partnership aims to provide advanced capabilities to 3 million military and civilian personnel, with initial deployment targeted for early 2026 at Impact Level 5 (IL5) for secure handling of Controlled Unclassified Information.
xAI Integration
As noted by the War Department’s press release, GenAI.mil, its bespoke AI platform, will gain xAI for the Government’s suite of tools, which enable real-time global insights from the X platform for “decisive information advantage.” The rollout builds on xAI’s July launch of products for U.S. government customers, including federal, state, local, and national security use cases.
“Targeted for initial deployment in early 2026, this integration will allow all military and civilian personnel to use xAI’s capabilities at Impact Level 5 (IL5), enabling the secure handling of Controlled Unclassified Information (CUI) in daily workflows. Users will also gain access to real‑time global insights from the X platform, providing War Department personnel with a decisive information advantage,” the Department of War wrote in a press release.
Strategic advantages
The deal marks another step in the Department of War’s efforts to use cutting-edge AI in its operations. xAI, for its part, highlighted that its tools can support administrative tasks at the federal, state and local levels, as well as “critical mission use cases” at the front line of military operations.
“The War Department will continue scaling an AI ecosystem built for speed, security, and decision superiority. Newly IL5-certified capabilities will empower every aspect of the Department’s workforce, turning AI into a daily operational asset. This announcement marks another milestone in America’s AI revolution, and the War Department is driving that momentum forward,” the War Department noted.
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Tesla FSD (Supervised) v14.2.2 starts rolling out
The update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Tesla has started rolling out Full Self-Driving (Supervised) v14.2.2, bringing further refinements to its most advanced driver-assist system. The new FSD update focuses on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing, among other improvements.
Key FSD v14.2.2 improvements
As noted by Not a Tesla App, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures. New Arrival Options let users select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the user’s ideal spot for precision.
Other additions include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and extreme Speed Profiles for customized driving styles. Reliability gains cover fault recovery, residue alerts on the windshield, and automatic narrow-field camera washing for new 2026 Model Y units.
FSD v14.2.2 also boosts unprotected turns, lane changes, cut-ins, and school bus scenarios, among other things. Tesla also noted that users’ FSD statistics will be saved under Controls > Autopilot, which should help drivers easily view how much they are using FSD in their daily drives.
Key FSD v14.2.2 release notes
Full Self-Driving (Supervised) v14.2.2 includes:
- Upgraded the neural network vision encoder, leveraging higher resolution features to further improve scenarios like handling emergency vehicles, obstacles on the road, and human gestures.
- Added Arrival Options for you to select where FSD should park: in a Parking Lot, on the Street, in a Driveway, in a Parking Garage, or at the Curbside.
- Added handling to pull over or yield for emergency vehicles (e.g. police cars, fire trucks, ambulances).
- Added navigation and routing into the vision-based neural network for real-time handling of blocked roads and detours.
- Added additional Speed Profile to further customize driving style preference.
- Improved handling for static and dynamic gates.
- Improved offsetting for road debris (e.g. tires, tree branches, boxes).
- Improve handling of several scenarios, including unprotected turns, lane changes, vehicle cut-ins, and school buses.
- Improved FSD’s ability to manage system faults and recover smoothly from degraded operation for enhanced reliability.
- Added alerting for residue build-up on interior windshield that may impact front camera visibility. If affected, visit Service for cleaning!
- Added automatic narrow field washing to provide rapid and efficient front camera self-cleaning, and optimize aerodynamics wash at higher vehicle speed.
- Camera visibility can lead to increased attention monitoring sensitivity.
Upcoming Improvements:
- Overall smoothness and sentience.
- Parking spot selection and parking quality.
Tesla FSD v14.2.2 is getting rave reviews from drivers
Elon Musk’s Grok AI to be used in U.S. War Department’s bespoke AI platform
