Article Part 4: The Future of Artificial Intelligence – WALL-E or Terminator?

In cooperation with Venionaire Capital, DerBrutkasten.com publishes a four-part article series on the subject of artificial intelligence. We are concentrating on the economic aspects of how AI works to the current research and the future of artificial intelligence.

The fourth and last article will concentrate on how the artificial intelligence will turn out in the future.

According to a quote from Stephen Hawking in The Guardian, Artificial Intelligence will be “either the best, or the worst thing, ever to happen to humanity”. The growing computer performance and Big Data enable machines to become even smarter. In an open letter, therefore, numerous industry leaders, such as Elon Musk or Hawking, call for the prevention of artificial intelligence and the control of the systems.

Musk believes that AI could become an existential threat to people and emphasized the need for legal requirements. Other AI skeptics are worried about the labor market. AI, according to the apprehension, will at least provide a new wave of mass unemployment in the short to medium term.

Joe Lobo, “chief botmaster” at the Startup Inbenta, has a more positive idea of the future of work and artificial intelligence. In a Forbes podcast he explained how technologies create new jobs and people can use their skills for new opportunities. So far, the development showed that AI systems complement human workers more than replace them. AI skeptics and enthusiasts, however, agree that jobs will change and new forms of employment will arise.

Whether advocates or adversaries, it is certain, in AI will be further invested and researched. In the end it is in our hands whether we end up with a terminator or a Wall-E.

However, to an artificial superintelligence it is in any case still a long way, as we described it in the second part of our series. In the third part, we also showed that the research and development of artificial intelligence was not a linear process, but had to repeatedly record ascensions and declines. The economic impacts of AI, which we dealt with in the first part, are equally interesting for start-ups and early-stage investors.

For the whole article click here.

 


The top 15 AI Deals in Europe

The marketplace for artificial intelligence (AI) technologies is thriving. Beyond the hype and the intensive media attention, the numerous start-ups and internet companies racing to acquire them, we can observe that private companies are increasing their investment and adoption to these technologies.

To complement the article series on artificial intelligence we would like to outline the 15 biggest deals on artificial intelligence start-ups in Europe.

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1. Kreditech                                 


Location: Hamburg, Germany
Funding Amount: USD 162.590.000
Webpage: kreditech.com

Provider of a lending as a service (Laas) based credit-scoring platform designed to improve financial freedom for the under-banked by the use of technology. The company’s lending as a service (Laas) based credit-scoring platform identifies and scores individuals online, decides and instantly pays out loans, based on 15,000 data points, providing banking products (instalment loans, microloans, credit cards, electronic wallets) to customers in emerging markets.

 

2. BenevolentAI


Location: London, United Kingdom
Funding Amount: UDS 100.000.000
Webpage: benevolent.ai

Provider of artificial intelligence technology intended to transform the process of pharmaceutical research and development. The company’s self-learning artificial intelligence and machine learning capabilities focuses on the disease areas of inflammation, neurodegeneration, orphan diseases and rare cancers as well as Judgment Augmented Cognition System (JACS), enabling human health, bio science and information technology sectors to analyse vast quantities of scientific information for the advancement of scientific discovery and applying it to real world problems.

 

3. Alteryx


Location: Broomfield, Colorado
Funding Amount: USD 85.000.000
Webpage: alteryx.com

Alteryx is the leader in self-service data analytics

 

 

4. Blue Yonder


Location: Karlsruhe, Germany
Funding Amount: USD 75.000.000
Webpage: blue-yonder.com

Provider of Big Data analytics and predictive applications. The company offers a cloud-based scalable platform with machine-learning algorithms. The enterprise’s platform automates decision-making in real time and supplies precise forecasts. It is also used in dynamic pricing and in customer analyses.

 

5. Darktrace


Location: London, United Kingdom
Funding Amount: USD 64.000.000
Webpage: darktrace.com

Provider of cyber threat defense systems designed to detect and respond to previously unidentified threats. The company’s cyber threat defense systems include detecting emerging cyber-threats and to proactively defend against in-progress cyber-attacks, enabling clients to defend against evolving threats that bypass all other systems.

 

6. Arago


Location: Frankfurt am Main, Germany
Funding Amount: USD 55.000.000
Webpage: arago.co

Provider of information technology automation services. The company develops artificial intelligence software for banking and telecommunication sectors. Its products include AutoPilot, CloudPilot, DocMe, BuildMe and MARS-O-matic and its services include WebFarm and CloudFarm.

 

7. Blippar


Location: India, Turkey, United States, United Kingdom
Funding Amount: USD 54.000.000
Webpage: blippar.com

Provider of augmented reality software for smartphones. The company offers a platform that enables users to turn images into interactive Web experiences, through image-recognition technology.

 

8. Cambridge Quantum Computing


Location: Cambridge, United Kingdom
Funding Amount: USD 50.000.000
Webpage: cambridgequantum.com

Provider of tools for the commercialization of quantum computers. The company provides cryptography, financial, medicinal, biotech and big data services.

 

9. Quid


Location: San Francisco, United States of America
Funding Amount: USD 39.000.000
Webpage: quid.com

Provider of a visualization platform designed to offer text-based data analysis. The company’s visualization platform combines search, premium data and high-performance algorithms from news articles, blog posts, company profiles and patents to create visualizations of markets, trends and cultural phenomena, enabling businesses to analyze investment trends, gain competitive intelligence, map innovation as well as make decisions that matter.

 

10. Rapid Miner


Location: Boston, Massachusetts
Funding Amount: USD 36.000.000
Webpage: rapidminer.com

Provider of data science platform designed to offer predictive analytics built on an open stack. The company’s data science platform allows to build software for real data science, fast and simple, unifies data preperation, machine learning and model deployment, enabling companies to drive revenue, reduce costs and avoid risks.

 

11. Withings


Location: Issy-les-Moulineaux, France
Funding Amount: USD 33.830.000
Webpage: withings.com

Developer of digital health and wellness smart devices and applications. The company offers software and devices that enable people to monitor and track their personal health data.

 

12. Nanigans

Location: Boston, Massachusetts
Funding Amount: USD 32.850.000

Developer of an advertising automation software. The company’s online platform offers programmatic media buying, predictive revenue optimization and real-time business intelligence.

 

13. Graphcore


Location: London, United Kingdom
Funding Amount: USD 30.000.000
Webpage: graphcore.ai

Developer of a processor designed to accelerate machine intelligence learning. The company’s intelligence processing unit emphasizes massively parallel, low-precision floating-point computing and provides higher compute density than other solutions, and the C++ programming framework provides seamless interface to standard machine learning frameworks, with simple integration for existing applications written for Tensorflow, enabling researchers to explore machine intelligences across a much broader front than current solutions.

 

14. Pyramid Analytics


Location: Amsterdam, The Netherlands
Funding Amount: USD 30.000.000
Webpage: pyramidanalytics.com

Provider of a business intelligence platform designed to simplify the access to information to help organizations optimize their business. The company’s business intelligence platform provides delivers intuitive enterprise level Business Intelligence through an integrated, scalable dashboard and analytic application for all types of business users, providing them with modules that can be accessed through a single, web-based interface.

 

15. Celonis


Location: New York, United States of America
Funding Amount: USD 27.500.000
Webpage: celonis.com

Celonis offers the most advanced Process Mining tool for analysing & visualizing business processes.

 

As we might have seen in this article, Europe has a fast growing Artificial Intelligence Industry most of them being in the data analytics market. AI is transforming every industry and process, and Europe is leading the way.

 

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Article Part 3: The history of AI – From the “AI Winter” to the final breakthrough

In cooperation with Venionaire Capital, DerBrutkasten.com publishes a four-part article series on the subject of artificial intelligence. We are concentrating on the economic aspects of how AI works to the current research and the future of artificial intelligence.

In the first article we described “Artificial Intelligence (AI)” as the ability of a machine to learn and adapt from its own experience. The second article was about the basis concept of AI and in the third part, we will provide an overview of research, trends and leading companies in the field.

Artificial intelligence is often seen as a new world conquered just by brave pioneers from Silicon Valley. In reality, however, the subject had a lot of ups and downs. The breakthrough seemed only a matter of time, but the researchers underestimated the problem that words can have different meanings in different contexts. The US Government cancelled the financing and this this period was referred to as “AI Winter” in analogy to the concept of “nuclear winter”.

Historically, there have always been such drought periods. The result of financial incidences were fewer research activities. Over and over again there were deep and then high phases (“AI Sommer”).

After a difficult situation in the early 1990s, the AI industry was finally recovering in the 2000s. The upturn was supported not so much by governments but by tech companies such as Google, Facebook, Apple, Amazon, Microsoft or the Chinese company Baidu.  The basis for the rapidly growing commercial interest are the computer systems that now enable the broad use of AI technologies for the first time.

The search engine giant Google is one of the leading companies when it comes to the topic of artificial intelligence. The main focus of their research (see research.google.com) is Machine Learning, Natural Language Understanding, the entire health care system, the perceptive abilities of machines, robotics and, interestingly, the creation of music and art. Thereby “deep learning” plays a very important role, for example Google’s Alpha Go, which clearly defeated the professional Go player Fan Hui and later Lee Sedol.

The question that is important to investors is, of course, whether the high phase is only a hype or sustainable. In contrast to the past, AI is already being used in everyday life.

 

For the whole article click here.

 

Article Part 2: Comprehend, Sense, Act – The basis concept of AI

In cooperation with Venionaire Capital, DerBrutkasten.com publishes a four-part article series on the subject of artificial intelligence. We are concentrating on the economic aspects of how AI works to the current research and the future of artificial intelligence.

In the first article we described “Artificial Intelligence (AI)” as the ability of a machine to learn and adapt from its own experience. In this article we want to get deeper in the matter. AI consists of diverse technologies that are the result of a combination of three elements: comprehend, sense and act.

Language Processing and knowledge representation are important for comprehend.  Natural Language Processing (NLP) combines technologies that are able to understand and generate speech in spoken or written form. Knowledge representation helps to communicate knowledge and facilitate subsequent decision-making, for example digital assistants.

Sense includes machine vision, voice recognition and further processing in sensors. This makes it possible to capture, identify, analyze and process the input information from cameras, microphones or other sensors.

Once information is collected through comprehending and sense, the logical third step is action. This is mainly used in industrial robotics, as Amazons show impressively.

These are the three pillars of the artificial intelligence According to Stuart Russel and Peter Norvig machines must also have specific abilities to act as a human being. Known in this context is the Turing Test from 1950, where a human questioner talkes with two unknown conversation partners. One of them is a person, the other one is a machine. If the questioner does not suceed in telling which of them is the machine, the machine wins. This test is now more than half a century old and we are still at the beginning of the development.

 

For the whole article click here.

 

Article Part 1: Economic Growth through Artificial Intelligence

In cooperation with Venionaire Capital, DerBrutkasten.com publishes a four-part article series on the subject of artificial intelligence.  We are concentrating on the economic aspects of how AI works to the current research and the future of artificial intelligence.

The first part shows the economic growth through artificial intelligence. While most people still associate the terminator with artificial intelligence, it has long become a key technology. Also Austrian Startups in cooperation with the ÖFAI (Austrian Research Institute for Artificial Intelligence) contribute to this growth with Voicebots and Chatbots such as Yodel.io.

The International Data Corporation sees the US market potential for artificial intelligence in three years at approximately 34 billion euros and the contribution to the economic growth only in Germany will be 1.6%. This is an important argument for investors and caused 2016 investments in the amount of 5 billion Euros. Although there is a clear distance between the USA and Europe, the number of completed deals in Europe is rising. For example the largest financing round in 2017 concluded the German company Kreditech with about 138 billion Euros. The amounts of Austrian startups like FRUX, Kiwi Security or Cortical.io are clearly smaller. Sales will increase enormously between 2016 and 2025 even if there are warnings about the current development for example from Elon Musk.

For the whole article click here.

 

Drone Wars – 3 Ways to Look at Drones

Generally, innovation comes about when that which is invented either solves a problem that hasn’t been solved before (cars revolutionized mobility), is cheaper in solving it than previous efforts (Uber vs Taxi), or provides us with an entirely new tool or gadget that we happily include in our lives (we didn’t need iPads). Drones, or unmanned aircraft system (UAS), can have the ability to do all three, which is why they potentially are such a valuable invention.

 

The Good: Opportunities

To remain in sync with the opening argument, drones have a vast array of applications that solve severe issues (US fighter drones prevent risking pilots’ lives); are cheaper (Chile and Peru can now monitor their maritime borders and fishing rights via drone applications instead of sending expensive observation teams via boats or planes). If thus another example is needed please change to the following: Peru’s Ministry of Culture can now monitor its archeological sites from the sky instead of sending expensive observation teams and the new drone-camera gadget all of a sudden has allowed my friend’s wedding pictures to be taken from the most surprising angles.

To understand the value of drones, PWC did a great effort in aggregating markets with a high potential of operations to be replaced by drone powered solutions: infrastructure, transport, insurance, media & entertainment, telecommunications, agriculture, security and mining can achieve a total aggregate of 127,3$ bn USD (approx. 112€ bn).

With over 35% of this aggregate, infrastructure is by far the largest sector to benefit from drones as investment monitoring, maintenance and inventory management can now be done remotely. Agriculture fares about 25%, the transport sector just over 10% and security around 8% (see PWC). Currently the US security sector is assumed to be the largest worldwide user of current drone solutions. However, as security related billing in connection with the use of drones currently only amounts to 50% of invoices extended for the use of drones, these figures provide us with a fair idea of the strong opportunity that lies in those still unexplored waters when after maximum exhaustion the security sector will be a mere 8% of the drone use.

According to the market research company Drone Industry Insights, there are already 711 UAS companies worldwide, developing from platforms, components and systems to even drone insurance. Whilst more than half of these companies are based in the US, a good 30% are in Europe, making both markets key arenas for its development and application.

 

The Bad: Regulations & Risks

The key issue: EU-wide rules for UAS might give Europe a competitive advantage but it is hard to arrive there – 18 EU countries already have national rules in place and EASA, the European Aviation Safety Agency, which has released a technical opinion on the operation of drones in December 2015, does not yet have the legal authority to regulate the use of drones. The European Commission has adopted a proposal for the revision of EASA’s basic regulation which would introduce an EU-wide regulation to cover drones of all sizes. However, currently the use of drones under 150kg is regulated at national level.

Changes for the regulation on common EU rules in the field of civil aviation must be adopted by the European Parliament Transport Committee – at present it is not clear, when such steps will be taken. Meanwhile the US applies federal legislation for amateur small drones, but pilot requirements for larger UAS are not yet available.

The reason it is so complicated to draft regulation is because there are high risks and legitimate issues concerning the privacy (i.e. is a drone allowed to fly over my property?), safety (drones have already dangerously grazed comercial flights), security (drones could fly say close to a presidential home) and the need for air traffic separation (flight routes need to be respected), which are all worlds of their own. And then, it is an inevitable reality that by the time regulation catches up with the new technology needs, the next invention is impatienty waiting at the door ready to be regulated.

 

The Ugly: regulatory solutions take time – but the ugly duckling can turn into a swan

There is no pretty way to say this: the timeliness, thoroughness and universality of the application of regulations – at least in the EU – will determine whether the EU can seize the opportunity to be at the forefront of the DronEvolution or not, and how this market will develop. By experience we know that EU regulation, which in all cases needs to be proposed by the European Commission, takes time as, depending on whether it is a mere EU matter, or a matter of mixed EU and national competence (then also the national parliaments of EU member states need to ratify). But once it stands- as with so many other issues (think: EU environmental policy is the most extensive world wide policy), the EU can be the welcome primary innovator.

For European investors, drone developers and drone users, this is a key moment: the use of drones could become an exponentially growing market (as we believe it should) revolutionizing industries and services, guided by reasonable and forceful regulation, or alternatively grow slowly and precariously as the necessary guiding regulation is not there to safely support the unpathed waters and their unexplored shores.

How technology will substantially change the way we communicate

It is not possible to not communicate – everything we do (or better said everything we are not doing) is a message to another person. Especially in B2B, communication is a vital aspect to a long lasting and successful customer relationship. We are living in an age where communication is instant – let it be via phone or messaging. Additionally, competitive companies do not only strive for a USP that offers a product’s superior quality or it’s competitive price offering. Look at Amazon, Apple or Tesla. They put a lot of effort into making you an enthusiastic customer. Their USP is the superior customer service that fosters loyalty. This means that customer communication is urgent and simultaneously important, thus a topic that should be stressed and talked about!

 

 

Let’s talk bots!

Firstly, we know that direct customer communication is inevitable to satisfy your customers. So looking into the tech world, where do we stand and where are we heading? Actually, there is a lot going on in that kind of field. You may already have heard of “bots” – short for robot. Fundamentally, they are software responding to an action. Siri for instance is a bot for the iPhone and Cortana for Windows 10. Both cases are serving as personal assistant.

Bots exist for a while now (the first bot ELIZA was built in the 1960s) but they have gotten increased attention since the Facebook Conference F8 past spring. They announced that they are introducing chat bots to their messaging service. Those “chatbots” react to what you write to them. They are already pretty usable, you can ask them when your flight leaves, what restaurant is located near you (Mica, the hipster cat bot), or help you with decisions (Swelly from swell.wtf). But this is only the beginning. For now, most chatbots only react to certain keywords but they soon will work based on machine learning. This will then introduce the era of artificial intelligence (AI) where bots understand language and not only react to specific commands. Plus, they learn from previous conversations thus getting smarter over time (just like a human being 😉 ). And this is where it gets interesting: those chat bots will be a game changer in customer communication. They could easily handle customer support requests. They would be the first instance a customer connects to: let them change their order from Amazon, make money transfers or book a flight.

But then we have to step back for a moment and realize what customer support is all about – customer retention! And you will not be competitive with only having bots that communicate with your customers. So what are we missing here?

 

How will technology change the way we personally talk to customers?

costumer-relations

We now know that the first interaction with a customer will be via bots. So general requests are easily processed without the need of a human. AI will enhance this kind of “automated” communication but at one point a customer wants to speak with a real person. Maybe the customer wants to get personal advice or they need a human being understanding the problem the customer is facing. Or let’s face it, explaining something with our voice is just easier than writing everything you want to say.

Taking note of what I’ve said in the beginning, namely that you need to be available for your customer 24/7, we need to find a solution apart from bots or AI. Your team needs to directly communicate with customers at one point. And I’m not speaking of (impersonal) emails. Voice communication is the most direct and honest channel. Yet answering the phone concludes to often being stressful, disruptive and presumptuous. Let this sink in for a while: Millennials (also known as Generation Y) are now ubiquitous in modern businesses. And they do not like answering the phone. So what to do? Apart from bots, there are various businesses investing in innovative digital communication solutions. The Cisco’s and Microsoft’s are working on this, but especially startups are focusing on this market potential. YodelTalk for instance is rethinking the predominant way of voice communication: the startup changes the character of a call. Their digital assistant gives insight on the caller, analyzes what to do with the call and routes it to a person or business application, thus structuring and managing the voice communication workflow.

 

So I’ve already told you how external communication will change in the future… But what about internal communication?

Taking into consideration that we are a fast changing and adapting society we know where organizational structures are heading to: remote teams that are connected all over the world. You can stretch the word “remote” intensively: This does not mean that everyone works from home sitting on their couch. Managers are fundamentally working remotely. They are constantly traveling or getting to the next meeting. And how often are field sales people in the office? You already know the answer. Also, 9-to-5 jobs are dying. And who can nowadays truly say that they are not checking mails while being on vacation? Trends are showing that “workation” (merging your vacation time with work time) is getting more and more popular.
So what do I want to say with this? We need to rethink how people within an organization work together. This is an essential aspect to be more efficient and productive – otherwise your organization will not be competitive! The aspect of working remotely and simultaneously ensuring high quality of customer communication is difficult to solve. But there are already several solutions on the market. Slack, HipChat as well as the Austrian startup Grape are chat messaging services that solve the communication problem for distributed teams. Those platforms are rapidly growing in numbers but also in (intelligent) functionalities (Grape for instance is already working on integrating business intelligence) indicating that they will be the foundation of business communication – let it be internal or external!

In conclusion I want to stress the fact that business communication will indeed change. And this is something that affects all of us – managers, founders, investors, teams of all sorts and the customer support industry. The big corporates are heavily investing into R&D for communication solutions so this alone tells us that there is still a lot to come! And I’m sure we will see the first big results in no time!

 


Nina Hödlmayr is part of the founding team of YodelTalk and responsible for Marketing and Customer Success activities. Her special focus is on communication trends including VoIP and chatbots. She holds a Bachelor’s Degree in International Business with focus on International Marketing and Communications from the Vienna University of Economics and Business. Before joining YodelTalk she lived and worked all over the world including the USA, Turkey, Spain and Indonesia.

 

 

 

 

 

Disclaimer: Venionaire Capital CEO Berthold Baurek-Karlic is in the Advisory Board of YodelTalk.

Digital News: How technology takes over the news industry

The digital era has resulted in a significant shift in consumer behaviour and in particular, how information is received and shared. This is an age in which almost every industry is radically changed as a result of technology and the news industry is no exception to this rule. This report gives you an overview of the most important facts on the vertical of “technology, media and telecommunications” or short TMT.

 

As news providers shift offerings to meet consumer demands in an increasingly digital world, the largest challenge being faced is to create a profitable business model. Two prominent revenue models within digital news can be observed:

 

1. Providing Free Content

With the main revenue generation from:

  • Native Advertising
  • Display Advertising

Native advertising is gaining traction, with a predicted annual growth rate of 14.7% (p.a.).

By 2018, the predicted native advertising revenue in the United States is $21 bn.

 

2. Paywalls

With revenue generated from

  • Subscriptions
  • Payment Per Article

 

Overall, global paywall revenue is predicted to experience an average growth rate of: 27.5% (p.a) between 2015 and 2019. By 2019, global paywall revenue is predicted to reach: $6.3 bn. Important trends in the outlook of digital news include the following:

  • Mobile
    With users of mobile devices four times more likely to pay for content
  • Social Media
    With social media driving 31.2% of all traffic to news sites in 2014, and increasing year-by-year
  • Quick Consumption
    With 79% of mobile users using their devices for quick news updates only
  • Automation
    With artificial intelligence now capable of both reading and writing news content
  • Paywalls
    With 90% of news content predicted to be behind paywalls by 2019

 

Especially the trends in digital news regarding the mobile phone are interesting:

  • Within the first 15 minutes of being awake, eight of ten smartphone users check their devices.
  • Smartphone users currently spend 2.2 hours per day consuming media through their devices and this is increasing year-by-year.
  • Mobile and tablets represent 37% of total media consumption, which is also increasing year-by-year.
  • Within this growing sector, around half of the total mobile media consumption is reached through apps

 

The legal framework of online news is complex, and copyright issues have caused tension between content providers and curators. For more information about this topic you can download the free report on Digital News.

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Internet of Things (IoT) is changing the Industry

What is IoT? Internet of Things is one of the most trending buzzwords in the venture ecosystem. Sometimes people refer to it as “Internet of Everything” or “connected everything”. Although the word is used in all kind of different contexts, people have still difficulties to understand IoT as a whole. We at Venionaire approached this area through our Insight about Internet of Things with the aim to give a complete overview.

 

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Corporates investing in IoT
But not only the venture ecosystem is ignited by it – corporates are as well heavily focusing on it.  In fact, Cisco began with operations related to IoT in the early 80s and one of the giants, General Electric, committed themselves (through their subsidy GE Digital) to be a “truly” digital industrial company. IoT is actually easy to describe as a network of physical objects, which are able to communicate, sense or interact with each other. In other words: the connectivity is not limited to PCs and mobile phones anymore, but literally every physical object. These connections occur in different contexts. For example: if you start connecting machines in a manufacturing plant, people will refer to it as Industrial IoT, or if you put sensors on your body to track your health condition, people will refer to it as quantified self (sub category of IoT). These examples give you a glance at the importance of IoT in terms of cross-industry applications.

 

IoT is igniting the tech industry
The borders between the tech and other industries are blurring and IoT is one of the major drivers. Cisco predicted a total impact of IoT by 2022 in 14.4 Trillion Dollars! The thing is, IoT even goes further. It doesn’t only affect traditional industries as illustrated above – it is igniting the tech industry itself. We all talk about big data, machine learning, cybersecurity or enterprise mobile applications. In fact, IoT is building on these tech-sectors. Just take the case of connecting machine in a manufacturing plant. You will need big data software to analyse the flood of data the machines are producing every second. You will eventually need machine learning algorithms to interpret the data and convert into information. You will need cyber security software to enable safe communication and prevent hackers to achieve control over your plant and eventually you will need a mobile application, so the plant manager is able to interact with the system.

These are just few examples of IoT applications using other tech applications. The key in investing into IoT is to understand the different technological layers of it and at the same time mapping the influence of every layer to the different industries (tech included).

 

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Smart Mobility: Is the future really electric?

In the modern age, increasing global awareness of the need to minimise pollution, curb worsening climate change and reduce dependence on oil and petroleum products has begun to fundamentally change the outlook of several key industries such as utility, manufacturing – and mobility.

 

With this report we want to give you an insight of recent and future developments in the E-Mobility sector. The e-mobility sector can be divided into two main segments:

  • Electronic Vehicle Manufacturing
  • E-Mobility Infrastructure

 

The largest driver of the e-mobility sector continues to be car manufacturers, with a strong backing by governmental bodies globally, who mostly see e-mobility as part of the solution to reduce global warming. While public sponsorship and financial incentives set by national governments vary country to country, three main cornerstones can be identified as:

  • Direct purchase subsidies
  • Annual or reoccurring fee discounts
  • Income tax incentives

 

Utilities will play an important role in the provision of infrastructure, and in addition to power management, will likely look to provide the following services to enhance their market position:

  • Installation of public charging stations
  • Installation of private charging stations
  • Value added services

 

Space providers are the largest supplier of public charging stations, with:

  • 19% found in car parks
  • 13.1% found on public roads

 

Electronic Vehicles can be divided into four main subgroups bases on their powertrains

  • Hybrid Electric Vehicle (HEV)
  • Fuel Cell Electric Vehicle (FCEV)
  • Battery Electric Vehicle (BHEV)
  • Range extended Electric Vehicle (REEV)

 

With the market still being in an early stage, the main focus of most car manufacturers remains to be research and development, with:

  • $7 bn
  • Spent on R&D between 2008 and 2014

 

Batteries are going to be a key driver of future production, with an emphasis on lowering the cost, and increasing the performance. However, the mass consumer remains relatively hesitant to purchase an EV, with decreased convenience, and cost and risk of adoption being major factors.

 

Situation in Austria

Austria’s regulatory incentive landscape is currently very fragmented. There are only a few approaches which cover all nine federal states. Listed are the top three incentives, which are valid in all federal states of Austria:

  1. Electric vehicles are exempt from fuel consumption tax, monthly vehicle tax, and the 16% acquisition tax
  2. Sponsorship from Kommunalkredit AG of up to EUR 20,000 for the purchase of electric vehicles applicable for companies, entrepreneurs, associations, public regional authorities and confessional bodies until December 31, 2020
  3. Sponsorship from Kommunalkredit AG of up to EUR 20,000 for the purchase of electric vehicles of public interest (such as taxis or car sharing vehicles) for companies, entrepreneurs, associations, public regional authorities and confessional bodies until October 2015

Certain Austrian federal states provide individual tax and fee incentives depending on various circumstances.

 

If you are interested in knowing more about the situation in Austria, the global comparison of Incentives and the regulations we highly recommend you to download our free report on E-Mobility.

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