The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. To be effective in the information business, automakers must change their perspective and start thinking about an overall process for big data in and around the car. Automakers must become serious about big data .

The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. To be effective in the information business, automakers must change their perspective and start thinking about an overall process for big data in and around the car. Automakers must become serious about big data .

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Automakers Must Partner Around Big Data

Corporate Innovation

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience.

Automakers Must Partner Around Big Data

Corporate Innovation

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience.

Automakers Must Partner Around Big Data

Corporate Innovation

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience.

The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. This challenge is becoming extremely acute as a result of the increasing adoption of EAC vehicles combined with Mobility Services (EAC+MS) and the torrent of data that will be generated as a result of this adoption. . To do so, automakers must: Think strategically and own the big data strategy. Communicating data.

The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. This challenge is becoming extremely acute as a result of the increasing adoption of EAC vehicles combined with Mobility Services (EAC+MS) and the torrent of data that will be generated as a result of this adoption. . To do so, automakers must: Think strategically and own the big data strategy. Communicating data.

The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. This challenge is becoming extremely acute as a result of the increasing adoption of EAC vehicles combined with Mobility Services (EAC+MS) and the torrent of data that will be generated as a result of this adoption. . To do so, automakers must: Think strategically and own the big data strategy. Communicating data.

Top Retail Industry Trends to Watch For in 2019

Acuvate

Opening up to new customer bases not only has the potential to increase clients, but also helps businesses sample from a much wider data pool to continue planning for the future. Consumer demands and expectations have long dictated the changes that come to the retail landscape.

A new value chain for next-generation mobility

Corporate Innovation

In my book, The Big Data Opportunity in Our Driverless Future , I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality. Data services provider. entertainment, traffic, mapping, weather, etc.) The participants can then access and exchange data.

New Year’s Resolution: Catch Up on These Must-Read Innovation Blogs from 2019

IdeaScale

Crowdsourcing is a great way to assemble data for product innovation. It gathers relevant data through educated opinions that can be used to formulate ideas that guide product development. Check out five of the top women innovators of all time in this entertaining blog.

Interview #6: Virtual Reality is moving beyond your PSVR (Wes Potter)

Innovation Walk

From Artificial Intelligence to Big Data insights and a variety of computer-generated graphics that will baffle your senses. A lot of the fun related to entertainment devices is being able to interact with your fellow mates.

Industry 4.0: How to guide organizational change

mjvinnovation

transforms the way we communicate, learn, entertain and relate to each other, as well as how we understand ourselves as human beings. Also check out our ebook: Business Analytics – The Data Age has already started.

Responsible Artificial Intelligence

Norbert Bol

Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc. The rapid growth of AI today is possible due to the increased computing power, the availability of big data and the ongoing learning of AI itself as it never sleeps.

Virtual Reality and Subliminal Marketing

Daniel Burrus

There is little doubt that VR has the potential to revolutionize the entire entertainment, tourism and even learning industries if audiences adopt the concept of strapping a device to their heads. The gathering of data from our online purchases already allows subtle messaging for influential purposes, so the adverts that pop up and the messages we receive are certainly no accident or coincidence.

Are You Deploying AI Strategically?

Innovation 360 Group

By AI, these leaders are really referring to a collection of related technologies, including machine learning, decision support, process automation, natural language processing (NLP), virtual service agents, chatbots, deep learning, image analytics, big data visualizations, biometrics, cyberdefence and pattern recognition. . Our own suite of tools, including the InnoSurvey® and the ideaton360 platform, depend on AI to find patterns and explore the data more deeply.

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Applications of Artificial Intelligence (AI) in business

hackerearth

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Entertainment.

B2C 86

#1,273 – American Pi

Greatest. Idea. Ever.

We live in the era of Big Data so let’s put all that data to use. What I’m imagining is an algorithm that can attach to the API of existing apps and services, and use back-end data, to publicly promote obscure information that would have previously remained hidden.

Netflix, Analytics, and Original Programming

Michael Roberto

They know that vertical integration has not always worked out in entertainment industry (think the breakup of Viacom/CBS and the unfortunate consequences of the AOL-Time Warner merger). Hastings commented on the company's original programming: Hastings attributed the success of original programming such as "Orange is the New Black" and "House of Cards" to Netflix's powerful data analytics. "We How powerful can data be in this case?

Valuation During Bankruptcy

Information Playground

In partnership with Dr. Jim Short of the San Diego Supercomputer Center (in his Architecting for Value research) I've been exploring the topic of data valuation processes within the enterprise. These use cases include M&A, asset valuation, data monetization, the sale of data assets, and data insurance. In this post I'd like to explore a data valuation use case that is a result of a bankruptcy. I have restated them below: Make data valuation explicit. 

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