CIO

AUGUST 11, 2023

Natural language processing definition Natural language processing (NLP) is the branch of artificial intelligence (AI) that deals with training computers to understand, process, and generate language. Search engines, machine translation services, and voice assistants are all powered by the technology.

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CIO

DECEMBER 12, 2023

Anthony Battle is leaning heavily on AI and IA — artificial intelligence and intelligent automation — to deliver digital transformation at luxury auto maker Jaguar Land Rover. Battle joined JLR as group chief digital and information officer in February 2022, after a long career managing IT for a succession of oil companies.

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TechCrunch

OCTOBER 5, 2021

is generating synthetic data for the satellite, medical, robotics and automotive industries. In order to generate these insights, the company would need to launch a constellation and start collecting a large amount of data. This lack of access to data was hindering artificial intelligence,” he said. Investor interest.

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TechCrunch

FEBRUARY 2, 2022

As the automotive industry inches slowly ahead on the road to self-driving vehicles, we’re seeing the emergence of startups aiming to fill in some of the technical gaps in autonomous systems as they exist today. “Machine learning is bad at processing rare but important things,” Langkilde said.

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CIO

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning.

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TechCrunch

NOVEMBER 6, 2020

Its “Accident Prevention Technology Platform” combines proprietary vision sensors, machine learning and radar with ultra-long range and foresight capabilities to prevent collisions at high speed and in all weather conditions, says the company. We have put together an incredible team that is growing daily.

Automotive 243

Automotive Artificial Inteligence Machine Learning Hardware 243

Perficient

DECEMBER 7, 2023

Alongside our partners HCLSoftware and AWS, we hosted an automotive panel in London and invited major OEMs as well as other innovative leaders in the industry. If you missed our Detroit Automotive Commerce Event, you can read the recap here. One of the biggest concerns of automotive companies today is brand loyalty and customer churn.

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CIO

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

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Capgemini

MAY 15, 2020

In my last post , I showed how artificial intelligence and analytics can play a significant role in increasing cash flow for manufacturers. . Using data and analytics, artificial intelligence and machine learning can help manufacturers make more accurate warranty predictions and , in some cases, avoid a warranty claim altogether.

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CIO

FEBRUARY 23, 2024

Generative AI takes a front seat As for that AI strategy, American Honda’s deep experience with machine learning positions it well to capitalize on the next wave: generative AI. Automotive Industry, Digital Transformation, Generative AI, Innovation

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Perficient

AUGUST 10, 2023

Personalization in the automotive industry is something that every OEM is actively thinking about and working on right now – and I’ve covered this trend in its most birds-eye view form when it comes to personalization at scale. What Does Automotive Personalization Look Like Tomorrow?

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TechCrunch

JUNE 14, 2021

Carro , one of the largest automotive marketplaces in Southeast Asia, announced it has hit unicorn valuation after raising a $360 million Series C led by SoftBank Vision Fund 2. Other participants include insurance giant MSIG and Indonesian-based funds like EV Growth, Provident Growth and Indies Capital.

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TechCrunch

JANUARY 12, 2023

Because they’re relatively affordable and can be programmed for a range of use cases, they’ve caught on particularly in the AI and machine learning space where they’ve been used to accelerate the training of AI systems.

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TechCrunch

FEBRUARY 10, 2022

China’s autonomous vehicle industry first started seeing some traction around 2016, when a bunch of ambitious startups mushroomed following advances in lidar, computing and machine learning. The industry saw a period of unprecedented acceleration in 2021, with over $8.5

Automotive 239

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TechCrunch

MAY 9, 2023

UVeye’s automated vehicle inspection technology may have started out as a system to detect security threats , but the six-year-old Israeli startup has found deep interest and investment from the automotive sector. ” Now, UVeye is doubling down on its automotive bet.

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TechCrunch

DECEMBER 1, 2020

Scale AI , the four-year-old data labeling startup, has discovered that selling the picks and shovels needed to develop and apply artificial intelligence is big business. Earlier this year, the company quietly launched Nucleus, an AI development platform that Wang describes as the “Google Photos for machine learning datasets.”

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TechCrunch

AUGUST 10, 2021

Jerry, which says it has evolved its model to a mobile-first car ownership “super app,” aims to save its customers time and money on car expenses. The Palo Alto-based startup launched its car insurance comparison service using artificial intelligence and machine learning in January 2019.

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TechCrunch

MAY 17, 2021

In 2012, he co-founded a company called YourMechanic (and won TechCrunch’s Disrupt that year) that provides on-demand automotive mobile maintenance and repair services. The Palo Alto-based startup launched a car insurance comparison service using artificial intelligence and machine learning in January 2019.

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TechCrunch

DECEMBER 20, 2021

AI chips, which are semiconductors designed to accelerate machine learning, have many applications. Kneron releases its first automotive-grade chip for ADAS and AV systems. One of the promising use cases, according to Albert Liu, is using AI chips in autonomous driving vehicles.

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CIO

JANUARY 26, 2024

Ford is unique among large automotive manufacturers in its selection of GCP, which Dave McCarthy, research vice president of cloud and edge services at IDC, says provides Ford a strong foundation for data-driven operations. Automotive Industry, Cloud Computing, Digital Transformation, Generative AI

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TechCrunch

JANUARY 28, 2022

One of the most popular applications of artificial intelligence to date has been to use it to predict things, using algorithms trained with historical data to determine a future outcome. “No matter how much data is fed into autonomous systems, it’s still just historical correlations,” Matovski said of the challenge.

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TechCrunch

APRIL 12, 2022

And in 2016, he joined Waymo, Google parent company Alphabet’s autonomous car division, as a machine learning engineer. “There [must be] two systems: one that makes predictions [and] one that explains the forecasted outcomes in [plain] language.”

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TechCrunch

FEBRUARY 2, 2022

They announced Wednesday an early access program to Scale Synthetic , a product that machine learning engineers can use to enhance their existing real-world data sets, according to the company. Scale hired two executives to build out this new division of its business.

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TechCrunch

JUNE 6, 2022

The round brings Vayyar’s total raised to over $300 million, which CEO Raviv Melamed said is being put toward expanding across verticals and introducing a “family” of machine learning-powered sensor solutions for robotics, retail, public safety and “smart” building products.

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TechCrunch

FEBRUARY 18, 2022

– Artificial intelligence-powered remote patient monitoring wearable technology. BeChained Artificial Intelligence Technologies SL – Smart energy platform for reducing production energy cost and decarbonizing the energy system. Somatix, Inc. TRIPP, Inc. Energizing Mobility. Tanvas, Inc. Innovation for Impact.

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Apiumhub

NOVEMBER 8, 2023

Voice Control: The Next Frontier Emergence of Voice Assistants Voice-controlled user interfaces, powered by natural language processing (NLP) and machine learning, have gained immense popularity with the advent of voice assistants like Apple’s Siri, Amazon’s Alexa, and Google Assistant.

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Perficient

JANUARY 4, 2024

As we step into 2024, the transformative impact of Artificial Intelligence (AI) and generative AI on enterprise-level organizations has reshaped the business landscape in profound ways.

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TechCrunch

DECEMBER 19, 2022

sells its software to various OEMs and Tier 1 suppliers in the automotive industry to help them “achieve software differentiation with high-end ADAS and L4 solutions,” according to Voroninski. The software is also agnostic to whatever compute and sensors are used in the vehicle, allowing Helm.ai ” Helm.ai

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TechCrunch

NOVEMBER 30, 2022

Based around machine learning, CommonGround’s platform is theoretically learning all the time from its users: The more you use it, the more you train it and the more accurate it becomes. That points to resourcefulness, and artificial intelligence technology with multipurpose potential at the end of the day.

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TechCrunch

JUNE 16, 2021

Tractable , which works with automotive insurance companies to let users take and submit photos of damaged cars that are then “read” to make appraisals, has raised $60 million, a Series D that values Tractable at $1 billion, the company said. Hover secures $60M for 3D imaging to assess and fix properties.

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TechCrunch

JANUARY 26, 2021

” Run:AI says that it is currently working with customers in a wide variety of industries, including automotive, finance, defense, manufacturing and healthcare. raises $13M for its distributed machine learning platform. These customers, the company says, are seeing their GPU utilization increase from 25 to 75% on average.

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CTOvision

FEBRUARY 13, 2017

The automotive sector is one of the industries that are defined by the normal technological development. Various automotive companies have been working to release self-driving vehicles. The self-driving vehicles use the machine learning technology to substitute the human driver. The case is different on the roads.

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Perficient

FEBRUARY 20, 2024

AI-Driven Insights and Predictive Analytics Data Cloud leverages advanced artificial intelligence (AI) capabilities to provide actionable insights and predictive analytics. By incorporating machine learning models, businesses can uncover patterns and trends within their data, empowering them to make informed decisions.

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Cloudera

FEBRUARY 8, 2021

The digital revolution is making a deep impact on the automotive industry, offering practically unlimited possibilities for more efficient, convenient, and safe driving and travel experiences in connected vehicles. billion in 2019, and is projected to reach $225.16 billion by 2027, registering a CAGR of 17.1% from 2020 to 2027.

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TechCrunch

JUNE 8, 2021

Autonomous vehicle startups that exist today use a combination of artificial intelligence algorithms and sensors to handle the tasks of driving that humans do, such as detecting and understanding objects and making decisions based on that information to safely navigate a lonely road or a crowded highway.

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Strategy Driven

NOVEMBER 14, 2018

Since 2012, with the proliferation of Python in general software development, Machine Learning has become the biggest trend in the technology world. With applications ranging from the mobile world to the automotive industry, let’s break down Machine Learning in its complexity. Why Automation Is Important.

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Machine Learning Artificial Inteligence Automotive Case Study 23

TechCrunch

NOVEMBER 3, 2021

Take a dollop of machine learning, a handful of radar sensors and a market that is clamoring for autonomous cars not mowing down hordes of pedestrians, and you’ve got yourself a particularly frothy fundraising environment.

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