Artificial Intelligence: what value for intelligent machines?
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The document analyzes the market attractiveness, business model maturity, and infrastructure/support impact of artificial intelligence (AI) through analysis of facts, figures, and keywords from various networks. It finds that while AI presents opportunities, there are also threats if its impact on humanity is not properly controlled. Business models need to be rethought to avoid harming humans. Major companies are developing AI but technical limitations remain around data processing and infrastructure.
Artificial Intelligence: what value for intelligent machines?
- 1. Innovation Index Artificial Intelligence: what value for intelligent machines http://weareinnovation.org samedi 28 mai 16
- 2. Innovation Index Content: Introduction I. Market attractiveness: Artificial Intelligence not artificial at all a. Hard Facts Analysis: Artificial Intelligence under high scrutiny b. Key Market Trends Impact: Artificial Intelligence well underway c. Semantic Analysis: Artificial Intelligence is just next door II. Business Model Maturity: The human questions behind AI business models a. End-to-end model Analysis: A need to rethink business models b. Strategic initiatives impact : The unknown opportunities c. The Business Case : Still nascent revenues III. Infrastructure and Support: AI requirements for optimization a. Technical readiness to market: A growing influence b. Structural readiness to market: Agility and intelligent systems in organizations c. Legal, Social and Economic impact: Transparency and security as critical requirements Conclusion samedi 28 mai 16
- 3. The Innovation Index analyses the market attractiveness, business model maturity and infrastructure and support impact of a given sector or technology. It aims at analyzing Hadoop market attractiveness through facts, figures and key words analysis, as collected through WAI networks. It also evaluates infrastructure and support impact, and estimate business model maturity to come to a final index value. To know more, your can also browse our Global Knowledge Library. Innovation Index Artificial Intelligence: what value for intelligent machines samedi 28 mai 16
- 4. Market attractiveness Artificial Intelligence not artificial at all http://weareinnovation.org samedi 28 mai 16
- 5. Innovation practitioners describe two potential futures where Artificial Intelligence is either an opportunity or a threat. They all agree on the fact that AI will be part of the future, and specialists are highlighting the need to think about the impact we want AI to have on our lives. They also all agree on the fact that this will all take place in a “not so distant” future, an almost tomorrow which is in line with the initial grade: 1.4/5. Hard Facts Analysis Artificial Intelligence under high scrutiny samedi 28 mai 16
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- 7. There are immediate effects that can be seen from existing development of AI. They come in the form of worries that robots “invade” our social and economic space, pointing to the fact that we do not trust AI yet. Yet the opportunity is measurable. With a high market potential combined with decreasing costs of development, AI is seen a being a strategic opportunity for major players already and strategies are being concretely rolled-out. We even start to hear specialists considering how robots could protect us. The intermediate grade reflects this market driven enthusiasm: 3.2/5. Key Market Trends Impact Artificial Intelligence well underway samedi 28 mai 16
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- 9. Technological advances are increasingly bringing AI closer to a market reality. Beyond technology, a shift seems to enable specialists to now foresee practical innovation and improvements enabled by AI. Moreover, some experts start to describe another potential social change that would see entrepreneurship and new types of activities replace the jobs we leave to robots. This all has a taste of “too good to be true” and the “high scrutiny” reflected in the first part of this analysis balances this view. Yet the final grade shows a high attractiveness to market: 4.1/5. Semantic Analysis AI is just next door samedi 28 mai 16
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- 11. Business model maturity The human questions behind AI business models http://weareinnovation.org samedi 28 mai 16
- 12. The spread of A.I. technologies is such that any sector or business form can be impacted in a near future. Yet humanity remains unable to properly control that impact, raising awareness on critical areas that could harm humans instead of protecting them. While major companies are involved in developing in depth research on neural networks and ways develop AI solutions for a variety of sector and changing business models, customers and markets increasingly realize they need to rethink models and prepare for a cross sector revolution that could leave part of humanity aside, if not in danger. The initial grade for business model maturity reaches 3 out of 5. End-to-end model Analysis A need to rethink business models samedi 28 mai 16
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- 14. Developments are occurring at all levels of AI value-chains, showing an on-going investment and research phase alongside already advanced initiatives and trials. This way, benefits are clearly outlined under productivity terms while risks keep being registered as human-threatening. Technological advances allow experts to foresee new market opportunities, including those which do not exist yet and may add further unidentified risks to humanity. In such a polarized conversation, AI appears as a fascinating science about to disrupt our daily lives in the near future without the certainty it will improve them in the long term but with the evidence that many will try to make money out of it. The intermediate grade is therefore lowered to 2.5 out of 5. Strategic initiatives impact The unknown opportunities samedi 28 mai 16
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- 16. The forecasted market sizes for AI components and the investment activity around them reflect the same “uncertain enthusiasm” with regards to solutions launched to market. Compared to IoT market forecasts over similar periods, machine learning potential revenues are still nascent and show that from a business planning point of view, many other digital components will need to generate substantial benefits to unleash AI full market potential. The on-going investments and discussions around AI oriented projects keep the topic on experts mind although consumer-led IoT and Big Data topics seem to currently outrun AI discussions, leaving them in a debate with high dependencies. The final business model maturity grade for AI is 2 out of 5. The Business Case Still nascent revenues samedi 28 mai 16
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- 18. AI requirements for optimization http://weareinnovation.org Infrastructure and Support samedi 28 mai 16
- 19. Experts and analysts repeatedly outline business and end-user benefits AI promises to deliver, showcasing tangible cases where intelligent systems have not only reduced costs and increased revenues, but also generated higher added value. As a result, major Internet companies are developing concrete plans and investments to position themselves on AI market. On the other hand, most experts also agree there remain severe technical shortages affecting data processing tools and infrastructure impeding an efficient roll-out of AI services. The initial readiness to market rate of AI therefore reaches 2.2/5. Structural readiness to market A growing influence samedi 28 mai 16
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- 21. It makes very few doubt AI will or already is influencing business analytics and data analytics for product and services development. Organizations have initiated strategic alignments with platforms, technologies, skills and services needed to transition towards a data intelligent business orientation. Nevertheless, the current status and required changes tend to come across as anticipated barriers to market which only agile businesses are in a position to overcome. The intermediate readiness to market rate of AI therefore reaches 2.6/5. Technical readiness to market Agility and intelligent systems in organizations samedi 28 mai 16
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- 23. As far as the legal, economic and environmental frameworks of AI are concerned, experts seem concerned by the limits companies face with regards to security and transparency. These limits aren’t stopping businesses to invest and adapt to this new markets, though. Startups in particular have identified new business models and services which exploit organizations’ skills shortages. Nevertheless, the apparent unpreparedness of businesses’ direct and indirect conjectural frameworks remind the fragility of current growth expectations. The final readiness to market rate of AI therefore reaches 1.3/5. Legal, Social and Economic impact Transparency and security as critical requirements samedi 28 mai 16
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- 26. Market Business Infrastructure Innovation practitioners describe two potential futures where Artificial Intelligence is either an opportunity or a threat. With a high market potential combined with decreasing costs of development, AI is seen a being a strategic opportunity for major players already and strategies are being concretely rolled-out. Beyond technology, a shift seems to enable specialists to now foresee practical innovation and improvements enabled by AI. While major companies are involved in developing in depth research on neural networks and ways develop AI solutions for a variety of sector and changing business models, customers and markets increasingly realize they need to rethink models and prepare for a cross sector revolution that could leave part of humanity aside, if not in danger. Technological advances allow experts to foresee new market opportunities, including those which do not exist yet and may add further unidentified risks to humanity. Compared to IoT market forecasts over similar periods, machine learning potential revenues are still nascent and show that from a business planning point of view, many other digital components will need to generate substantial benefits to unleash AI full market potential. As a result, major Internet companies are developing concrete plans and investments to position themselves on AI market. On the other hand, most experts also agree there remain severe technical shortages affecting data processing tools and infrastructure impeding an efficient roll-out of AI services. Organizations have initiated strategic alignments with platforms, technologies, skills and services needed to transition towards a data intelligent business orientation. Nevertheless, the apparent unpreparedness of businesses’ direct and indirect conjectural frameworks remind the fragility of current growth expectations. Innovation Index samedi 28 mai 16
- 27. 5 5 5 0 Market Attractiveness 4.1 Business Model Maturity Infrastructure and Support2 1.3 Hadoop Innovation Index 5.07 19%Efficiency samedi 28 mai 16