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RWE: A German renewable energy firm that utilizes AI and bigdata analytics to optimize energy production and distribution SAP is a leader in enterprise software and cloud-based solutions, particularly in areas like ERP, data analytics, and artificial intelligence (AI).
In this two-part series, we will discuss the bigdata challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and bigdata strategies. Ford’s recent moves provide an interesting example (and here ) of this broadening viewpoint. .
In this two-part series, we will discuss the bigdata challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and bigdata strategies. Ford’s recent moves provide an interesting example (and here ) of this broadening viewpoint. .
The modern economy is data-driven. Companies are able to disrupt entire industries because of their focus on acquiring as much data as possible and putting it into action. One example of this is advancements in technology that are taking jobs away from people. How Emerging Trends Drive Innovation. Future Projects.
Disruptive or incremental innovation? The former is disruptive innovation and although rare, it can happen, while the latter is incremental innovation. And how do you balance the two to find the next big thing in your industry? Disruptive Innovation. The first is that there’s no disruptive innovation without it.
In this blog I explore what the automotive industry has been doing to address the potential disruption, analyze the effects of these initial steps, and provide recommendations on what corporations could be doing better. For example, GM stopped producing its electric vehicle EV1 in 1999 (and here ). Connected car. Connected car.
In this blog I explore what the automotive industry has been doing to address the potential disruption, analyze the effects of these initial steps, and provide recommendations on what corporations could be doing better. For example, GM stopped producing its electric vehicle EV1 in 1999 (and here ). Connected car. Connected car.
In this two-part series, we will discuss the bigdata challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and bigdata strategies. Ford’s recent moves provide an interesting example (and here ) of this broadening viewpoint. .
This is because the volume of daily data produced in these virtual environments is a real gold mine for companies prepared to prospect for it. Keep reading to understand how you can benefit from the combination of Social Networks + BigData. Social Networks: the gold mine of data. And BigData is the tool for the job. ?
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. For example, for every 5,000 miles I receive free cellular data to be used while in my personal vehicle.
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. For example, for every 5,000 miles I receive free cellular data to be used while in my personal vehicle.
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. For example, for every 5,000 miles I receive free cellular data to be used while in my personal vehicle.
Our research shows, for example, that major efforts achieve significantly better satisfaction scores than limited ones. Presently the highest rated tool is BigData Analytics; more than half of surveyed executives say that Advanced Analytics are transforming their marketing strategy. BigData for instance scores a 4.22
Digital transformation is a global phenomenon and a universal disruption, changing every industry and every sector. This article provides a great insight into how the advances in the IoT, BigData, Cloud Computing, and AI can be linked to major innovative disruptions in our healthcare services, manufacturing, and oil and gas industries.
The combinations of bigdata, real time analytics, sensors, on board processing, all linked to a very responsive processor connected to the engine and drive train will provide a safe and simple journey. And this is a dilemma that innovators always face - they must work within the existing infrastructure and compatibility or disrupt it.
principles- such as the Industrial Internet of Things (IIoT), artificial intelligence (AI), and bigdata analytics- companies can predict equipment failures before they occur, reducing downtime, optimizing costs, and enhancing operational efficiency. Machine learning models improve over time by learning from historical data.
Over the years, so much has improved and understood by the explanations, case examples, suggestions, clarifications and ways they were “built into” the individual innovation processes that each company chose to construct their innovation process. Briefly, I summarize what these have been bringing into innovative thinking.
In a previous post I wrote about the disruptive innovations that have been introduced by Tesla Motors (Tesla) and Uber and presented the steps the automotive industry should be taking in order to address the startup-driven disruption. Startups must realize that they cannot disrupt the entire automotive industry.
In a previous post I wrote about the disruptive innovations that have been introduced by Tesla Motors (Tesla) and Uber and presented the steps the automotive industry should be taking in order to address the startup-driven disruption. Startups must realize that they cannot disrupt the entire automotive industry.
But incumbents would be willing to make changes if a new technology proves to be truly disruptive and the long-term benefits are worth it. Most companies will continue to favor a “safer” approach in the time ahead, even while facing disruption. Even fewer are actually investing in them. (…).
These rapidly evolving technologies are not just incremental improvements —they represent seismic shifts that are disrupting the very foundations of how we work, live, and interact with the world. Synthetic Data and Privacy Preservation In the age of bigdata, privacy concerns are at an all-time high.
BigData and Analytics. allows for streamlining, collecting and comprehending data from many different sources, including networked sensors, production equipment, and customer-management systems, improving real-time decision making. For example, in Industry 4.0, Industry 4.0 apps for business and industry are developed.
Top-tier managers handling innovation roles in successful companies set an example for the company’s employees to contribute to the innovation process. Nike’s Innovation Kitchen is a great example of a company that tests the theory that there can’t be true innovation without failure. BuzzFeed and Shyp are the perfect examples here.
Quite in line with what we already know from the Digital Transformation concept, the Insurtech phenomenon is grounded by BigData, Artificial Intelligence (AI) and the Internet of Things (IoT) – most of the capital invested goes into these areas. That’s Insurtech too. Brazilian Insurtechs.
are examples. They enabled companies to comply with local government laws – for example, to allow foreign subsidiaries to transfer manufacturing technology from the U.S. For example, American Express’s Silicon Valley Innovation Outpost is monitoring innovations in financial technologies that are created by companies such as Square.
are examples. They enabled companies to comply with local government laws – for example, to allow foreign subsidiaries to transfer manufacturing technology from the U.S. For example, American Express’s Silicon Valley Innovation Outpost is monitoring innovations in financial technologies that are created by companies such as Square.
In my book The BigData Opportunity In Our Driverless Future I identify two distinct value chains that have been established because of the car ownership-centric model that has been dominant for the past 70+ years: the vehicle manufacturing and sale value chain , and the vehicle use value chain.
With remote employees, IoT, connected networks and devices, and employees’ social platforms, in addition to customer and business data, modern enterprises generate massive volumes of data every single day. This data, although often unstructured, is precious. And now, it’s time for data to take the next giant leap.
The modern CIO is tasked with creating business value with technology, developing innovative solutions, driving implementation of new and emerging technologies, adopting AI, taking on cloud transitioning for the enterprise, addressing big-data challenges, and more. Technology changes (or rather evolves) at a disruptive pace today.
For example, Target 7.2 The aim of disruptive innovation is to create fundamental change. For example, instead of moving forward with an idea that exclusively addresses Goal 3, “Good Health and Well-Being” , what if we could expand on it so that it also addresses Goal 5, “Gender Equality” , and Goal 10, “Reduced Inequalities” ?
We’re right at the beginning of an era of market disruption affecting sweeping, radical changes to personal and public transport, and the pressure on companies to innovate is coming from all directions. Mobility-as-a-Service (MaaS) Bigdata is enabling radical changes to the way customers can plan and pay for public transport.
The Outpost is on the lookout for innovations that: Could become threats that could lead to the disruption of the corporate parent. Could allow the corporation to be disruptive by entering adjacent markets to the ones it currently serves. Could create and introduce new and disruptive offerings for new markets.
The Outpost is on the lookout for innovations that: Could become threats that could lead to the disruption of the corporate parent. Could allow the corporation to be disruptive by entering adjacent markets to the ones it currently serves. Could create and introduce new and disruptive offerings for new markets.
Politicians are seeing the real benefits and cost savings that smart city initiatives can provide, and as citizens we need to get used to the idea of our towns collecting and making use of more and more data to reshape the world around us for the greater good. For example, 40% of municipal energy costs comes from street lighting.
In my book, The BigData 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 bigdata and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality.
While the COVID-19 pandemic has caused severe social, economic, and financial disruption across the globe, the oil and gas (O&G) industry seems to have been the hardest hit. The O&G sector suffered twin blows in the form of a severe demand disruption and a significant oversupply in the market.
Much fanfare has been paid to the term “disruptive innovation” over the past few years. Disruptive innovations are: Cheaper (from a customer perspective). The reason these characteristics of disruption are important are that when all three are present, it’s difficult for an existing business to respond to competition.
Data and information, generally, are proliferating at a veritably exponential rate, thanks to rapid increases in the Three Digital Accelerators I’ve been tracking since the early 1980s: bandwidth, digital storage, and processing power.
Over the past thirty years, I have developed a proven methodology to anticipate disruption and change before it happens, allowing you to find the confidence that certainty provides. Examples of final products today include jewelry, iPhone cases, shoes, car dashboards, parts for jet engines, prosthetic limbs, and much more.
are examples. They enabled companies to comply with local government laws – for example, to allow foreign subsidiaries to transfer manufacturing technology from the U.S. For example, American Express’s Silicon Valley Innovation Outpost is monitoring innovations in financial technologies that are created by companies such as Square.
Artificial intelligence, augmented reality, bigdata, multi dimensional printing, robots designed to interact physically with human beings in a collaborative environment, are just a sampling of the power and pervasiveness of technological disruption. This tsunami of change and disruption carries enormous consequences.
Artificial intelligence, augmented reality, bigdata, multi dimensional printing, robots designed to interact physically with human beings in a collaborative environment, are just a sampling of the power and pervasiveness of technological disruption. This tsunami of change and disruption carries enormous consequences.
Disruptive technologies or innovations boost new business models that change the game of existing industries like the space industry (SpaceX), the music industry (Spotify), the film industry (Netflix) or the banking sector (FinTechs), just to name a few. Is there a pattern for disruption & breakthroughs?
The situation changed in the 2010s, with the development of IoT, Artificial Intelligence, BigData, and Cloud Computing. First, smart components that use sensors to collect real-time data on status, working conditions, and position are integrated into a physical item. Digital Disruption. So, what is this technology?
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