Category Archives: Prospectiva

Soluciones de verdad para reversar cambio climático

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SOLUTIONS

Fuente> www.drawdown.org/solutions

The objective of the solutions list is to be inclusive, presenting an extensive array of impactful measures already in existence. The list is comprised primarily of “no regrets” solutions—actions that make sense to take regardless of their climate impact since they have intrinsic benefits to communities and economies. These initiatives improve lives, create jobs, restore the environment, enhance security, generate resilience, and advance human health.

In our book Drawdowneach solution is measured and modeled to determine its carbon impact through the year 2050, the total and net cost to society, and the total lifetime savings (or cost). The exception to this are our “Coming Attraction” solutions, which are a window into what is still emerging. For these solutions, we did not measure cost, savings, or atmospheric impact, but we illuminate technologies and concepts whose growth we will continue to watch.

Solutions by Rank

Rank Solution Sector TOTAL ATMOSPHERIC CO2-EQ REDUCTION (GT) NET COST (BILLIONS US $) SAVINGS (BILLIONS US $)
1 Refrigerant Management Materials 89.74 N/A $-902.77
2 Wind Turbines (Onshore) Electricity Generation 84.60 $1,225.37 $7,425.00
3 Reduced Food Waste Food 70.53 N/A N/A
4 Plant-Rich Diet Food 66.11 N/A N/A
5 Tropical Forests Land Use 61.23 N/A N/A
6 Educating Girls Women and Girls 59.60 N/A N/A
7 Family Planning Women and Girls 59.60 N/A N/A
8 Solar Farms Electricity Generation 36.90 $-80.60 $5,023.84
9 Silvopasture Food 31.19 $41.59 $699.37
10 Rooftop Solar Electricity Generation 24.60 $453.14 $3,457.63

Summary of Solutions by Overall Rank

This table provides the detailed results of the Plausible Scenario, which models the growth solutions on the Drawdown list based on a reasonable, but vigorous rate from 2020-2050. Results depicted represent a comparison to a reference case that assumes 2014 levels of adoption continue in proportion to the growth in global markets.

NOTE: Energy Storage (utility-scale & distributed), Grid Flexibility, Microgrids, Net Zero Buildings, and Retrofitting were not modeled independently to avoid double counting impacts from other solutions.

Rank Solution Sector TOTAL ATMOSPHERIC CO2-EQ REDUCTION (GT) NET COST (BILLIONS US $) SAVINGS (BILLIONS US $)
1 Refrigerant Management Materials 89.74 N/A $-902.77
2 Wind Turbines (Onshore) Electricity Generation 84.60 $1,225.37 $7,425.00
3 Reduced Food Waste Food 70.53 N/A N/A
4 Plant-Rich Diet Food 66.11 N/A N/A
5 Tropical Forests Land Use 61.23 N/A N/A
6 Educating Girls Women and Girls 59.60 N/A N/A
7 Family Planning Women and Girls 59.60 N/A N/A
8 Solar Farms Electricity Generation 36.90 $-80.60 $5,023.84
9 Silvopasture Food 31.19 $41.59 $699.37
10 Rooftop Solar Electricity Generation 24.60 $453.14 $3,457.63
11 Regenerative Agriculture Food 23.15 $57.22 $1,928.10
12 Temperate Forests Land Use 22.61 N/A N/A
13 Peatlands Land Use 21.57 N/A N/A
14 Tropical Staple Trees Food 20.19 $120.07 $626.97
15 Afforestation Land Use 18.06 $29.44 $392.33
16 Conservation Agriculture Food 17.35 $37.53 $2,119.07
17 Tree Intercropping Food 17.20 $146.99 $22.10
18 Geothermal Electricity Generation 16.60 $-155.48 $1,024.34
19 Managed Grazing Food 16.34 $50.48 $735.27
20 Nuclear Electricity Generation 16.09 $0.88 $1,713.40
21 Clean Cookstoves Food 15.81 $72.16 $166.28
22 Wind Turbines (Offshore) Electricity Generation 14.10 $545.30 $762.50
23 Farmland Restoration Food 14.08 $72.24 $1,342.47
24 Improved Rice Cultivation Food 11.34 N/A $519.06
25 Concentrated Solar Electricity Generation 10.90 $1,319.70 $413.85
26 Electric Vehicles Transport 10.80 $14,148.00 $9,726.40
27 District Heating Buildings and Cities 9.38 $457.10 $3,543.50
28 Multistrata Agroforestry Food 9.28 $26.76 $709.75
29 Wave and Tidal Electricity Generation 9.20 $411.84 $-1,004.70
30 Methane Digesters (Large) Electricity Generation 8.40 $201.41 $148.83
31 Insulation Buildings and Cities 8.27 $3,655.92 $2,513.33
32 Ships Transport 7.87 $915.93 $424.38
33 LED Lighting (Household) Buildings and Cities 7.81 $323.52 $1,729.54
34 Biomass Electricity Generation 7.50 $402.31 $519.35
35 Bamboo Land Use 7.22 $23.79 $264.80
36 Alternative Cement Materials 6.69 $-273.90 N/A
37 Mass Transit Transport 6.57 N/A $2,379.73
38 Forest Protection Land Use 6.20 N/A N/A
39 Indigenous Peoples’ Land Management Land Use 6.19 N/A N/A
40 Trucks Transport 6.18 $543.54 $2,781.63
41 Solar Water Electricity Generation 6.08 $2.99 $773.65
42 Heat Pumps Buildings and Cities 5.20 $118.71 $1,546.66
43 Airplanes Transport 5.05 $662.42 $3,187.80
44 LED Lighting (Commercial) Buildings and Cities 5.04 $-205.05 $1,089.63
45 Building Automation Buildings and Cities 4.62 $68.12 $880.55
46 Water Saving – Home Materials 4.61 $72.44 $1,800.12
47 Bioplastic Materials 4.30 $19.15 N/A
48 In-Stream Hydro Electricity Generation 4.00 $202.53 $568.36
49 Cars Transport 4.00 $-598.69 $1,761.72
50 Cogeneration Electricity Generation 3.97 $279.25 $566.93
51 Perennial Biomass Land Use 3.33 $77.94 $541.89
52 Coastal Wetlands Land Use 3.19 N/A N/A
53 System of Rice Intensification Food 3.13 N/A $677.83
54 Walkable Cities Buildings and Cities 2.92 N/A $3,278.24
55 Household Recycling Materials 2.77 $366.92 $71.13
56 Industrial Recycling Materials 2.77 $366.92 $71.13
57 Smart Thermostats Buildings and Cities 2.62 $74.16 $640.10
58 Landfill Methane Buildings and Cities 2.50 $-1.82 $67.57
59 Bike Infrastructure Buildings and Cities 2.31 $-2,026.97 $400.47
60 Composting Food 2.28 $-63.72 $-60.82
61 Smart Glass Buildings and Cities 2.19 $932.30 $325.10
62 Women Smallholders Women and Girls 2.06 N/A $87.60
63 Telepresence Transport 1.99 $127.72 $1,310.59
64 Methane Digesters (Small) Electricity Generation 1.90 $15.50 $13.90
65 Nutrient Management Food 1.81 N/A $102.32
66 High-speed Rail Transport 1.52 $1,038.42 $368.10
67 Farmland Irrigation Food 1.33 $216.16 $429.67
68 Waste-to-Energy Electricity Generation 1.10 $36.00 $19.82
69 Electric Bikes Transport 0.96 $106.75 $226.07
70 Recycled Paper Materials 0.90 $573.48 N/A
71 Water Distribution Buildings and Cities 0.87 $137.37 $903.11
72 Biochar Food 0.81 N/A N/A
73 Green Roofs Buildings and Cities 0.77 $1,393.29 $988.46
74 Trains Transport 0.52 $808.64 $313.86
75 Ridesharing Transport 0.32 N/A $185.56
76 Micro Wind Electricity Generation 0.20 $36.12 $19.90
77 Energy Storage (Distributed) Electricity Generation N/A N/A N/A
77 Energy Storage (Utilities) Electricity Generation N/A N/A N/A
77 Grid Flexibility Electricity Generation N/A N/A N/A
78 Microgrids Electricity Generation N/A N/A N/A
79 Net Zero Buildings Buildings and Cities N/A N/A N/A
80 Retrofitting Buildings and Cities N/A N/A N/A
1050.99
$29,609.30
$74,362.37

Las habilidades que los niños y jóvenes de hoy deberán tener para los trabajos del futuro

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This is the one skill your child needs for the jobs of the future

Image: REUTERS/Wolfgang Rattay

Where can your kids learn creativity and critical thinking? The answer is simpler than you think

Fuente: www.weforum.org/agenda/2017/09/skills-children-need-work-future-play-lego/?utm_content=buffer75105&utm_medium=social&utm_source=facebook.com&utm_campaign=buffer

However, this mindset is often eroded or even erased by conventional educational practices when young children enter school.

The Torrance Test of Creative Thinking is often cited as an example of how children’s divergent thinking diminishes over time. 98% of children in kindergarten are “creative geniuses” – they can think of endless opportunities of how to use a paper clip.

This ability is reduced drastically as children go through the formal schooling system and by age 25, only 3% remain creative geniuses.

Most of us only come up with one or a handful of uses for a paperclip.

What is most concerning in connection with the human capital question is that over the last 25 years, the Torrance Test has shown a decrease in originality among young children (kindergarten to grade 3).

By the way, did you know you could combine six standard LEGO bricks in more than 915 million ways?

Wrong focus

The World Economic Forum has just released its Human Capital Report with the subtitle “Preparing People for the Future of Work”.

The report states that “many of today’s education systems are already disconnected from the skills needed to function in today’s labour markets”.

It goes on to underline how schools tend to focus primarily on developing children’s cognitive skills – or skills within more traditional subjects – rather than fostering skills like problem solving, creativity or collaboration.

This should be cause for concern when looking at the skill set required in the Fourth Industrial Revolution: Complex problem solving, critical thinking and creativity are the three most important skills a child needs to thrive, according to the Future of Jobs Report.

Let’s take a moment to underscore that creativity has jumped from 10th place to third place in just five years.

And that emotional intelligence and cognitive flexibility have also entered the skills list for 2020.

Worryingly, these skills are often not featured prominently in children’s school day where the norm still is the chalk-and-talk teaching approach that has prevailed for centuries.

Child’s play

study in New Zealand compared children who learned how to read at age five with those who learned at age seven.

When they were 11 years old, both sets of children displayed the same reading ability. But the children who only learned how to read at age seven actually showed a higher comprehension level.

One of the explanations is that they had more time to explore the world around them through play.

It is clear that preparing children for the future demands re-focusing concepts of learning and education.

Knowing how to read, write and do maths remain important for children to unlock the world in front of them.

An increasingly interconnected and dynamic world means children will find themselves changing jobs several times during their lives – switching to jobs that don’t exist today, and which they might have to invent themselves.

The question is how do we foster the above-mentioned breadth of skills, and keep alive the natural ability of children to learn throughout a lifetime – instead of eroding it when they enter formal schooling?

Achieving this is simpler than you might think: engaging children in positive, playful experiences.

Different forms of play provide children with the opportunity to develop social, emotional, physical and creative skills in addition to cognitive ones.

Lifelong play

If we agree on the urgent need for developing skills of complex problem solving, critical thinking and creativity, it is essential that we recognise that these skills are built by learning through play across the lifespan.

As we invest in our children’s future, let’s be sure to guard against directed learning, “schoolification” or three-year-olds learning their alphabet and numbers in written form when there is no evidence that this will make them better readers.

We need to challenge ourselves on the logic of flashcards and homework for our youngest at home, and see the value of continuing to create joyful, meaningful play moments with our children.

The natural ability of children to learn through play may be the best-kept, low-cost secret for addressing the skills agenda with potential to equip both our children and our economies to thrive.

Plus, it’s fun. So, what’s stopping us? Let’s play!

 

50 economías mas innovadoras al inicio del 2018

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The U.S. Drops Out of the Top 10 in Innovation Ranking

 Updated on 
https://www.bloomberg.com/news/articles/2018-01-22/south-korea-tops-global-innovation-ranking-again-as-u-s-falls
  • U.S. out of top 10 for first time in the gauge’s six years
  • South Korea, Sweden repeat as 2018 leaders, Singapore is 3rd

Score another one for Seoul while Silicon Valley slides.

 The U.S. dropped out of the top 10 in the 2018 Bloomberg Innovation Index for the first time in the six years the gauge has been compiled. South Korea and Sweden retained their No. 1 and No. 2 rankings.

The index scores countries using seven criteria, including research and development spending and concentration of high-tech public companies.

 

The U.S. fell to 11th place from ninth mainly because of an eight-spot slump in the post-secondary, or tertiary, education-efficiency category, which includes the share of new science and engineering graduates in the labor force. Value-added manufacturing also declined. Improvement in the productivity score couldn’t make up for the lost ground.

 “I see no evidence to suggest that this trend will not continue,” said Robert D. Atkinson, president of the Information Technology & Innovation Foundation in Washington, D.C. “Other nations have responded with smart, well-funded innovation policies like better R&D tax incentives, more government funding for research, more funding for technology commercialization initiatives.”

Singapore jumped ahead of European economies Germany, Switzerland and Finland into third place on the strength of its top ranking in the tertiary-efficiency category.

“Singapore has always placed strong focus on educating her populace, especially in STEM disciplines,” said Yeo Kiat Seng, professor and associate provost at the Singapore University of Technology and Design, referring to science, technology, engineering and mathematics. It also has a “steadfast commitment to funding R&D and innovation,” added Yeo, who holds 38 patents.

Supplier Ecosystem

South Korea remained the global-innovation gold medalist for the fifth consecutive year. Samsung Electronics Co., the nation’s most-valuable company by market capitalization, has received more U.S. patents in the 2000s than any firm except International Business Machines Corp. And its semiconductors, smartphones and digital-media equipment spawned an ecosystem of Korean suppliers and partners similar to what Japan developed around Sony Corp. and Toyota Motor Corp.

China moved up two spots to 19th, buoyed by its high proportion of new science and engineering graduates in the labor force and increasing number of patents by innovators such as Huawei Technologies Co.

“One common trait of the U.S., Korea and China is that people accept failure as part of the process,” said Prinn Panitchpakdi, country head of CLSA Thailand, an Asian brokerage and investment group. “Innovation lags in countries where the culture emphasizes risk avoidance and where R&D is seen purely an expense, not an investment. That’s the mindset in Thailand.” It dropped one spot from a year earlier, to 45th.

Top-Tier Countries

Japan, one of three Asian nations in the top 10, rose one slot to No. 6. France moved up to ninth from 11th, joining five other European economies in the top tier. Israel rounded out this group and was the only country to beat South Korea in the R&D category.

South Africa and Iran moved back into the top 50; the last time both were included was 2014. Turkey was one of the biggest gainers, jumping four spots to 33rd because of improvements in tertiary efficiency, productivity and two other categories.

The biggest losers were New Zealand and Ukraine, which each dropped four places. The productivity measure influenced New Zealand’s shift, while Ukraine was hurt by a lower tertiary-efficiency ranking.

Movements in this year’s list were generally less dramatic than last year, when Russia took a 14-spot tumble following sanctions related to Ukraine and the plunge in energy prices. In the current index, it moved up one spot to 25th.

The 2018 ranking process began with more than 200 economies. Each was scored on a 0-100 scale based on seven equally weighted categories. Nations that didn’t report data for at least six categories were eliminated, trimming the list to 80. Bloomberg released the top 50 and category scores within this cohort. For additional data, click here.

Prospectiva como una herramienta de inteligencia estratégica – Philippe Destatte

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Foresight as a strategic intelligence tool

Liège, January 19, 2018

PhD2050 (Philippe Destatte)

Rien dans l’univers ne peut résister à l’ardeur convergente d’un nombre suffisamment grand d’intelligences groupées et organisées (Teilhard, 1947)

1. What is foresight, and in what way is it strategic? [1]

 In the form in which we know it today in Europe, foresight represents an encounter and interaction between French and Latin developments, on the one hand, and those in the Anglosphere on the other. In English-speaking countries, the practice of foresight has evolved over time from a concern with military interests (such as improving defence systems) to industrial objectives (such as increasing competitiveness) and societal issues (such as ensuring the welfare of the population or ensuring social harmony). Since the 1960s, its chosen field has shifted from fundamental science to key technologies, then to the analysis of innovation systems, and finally to the study of the entire societal system. Having started out within a single discipline, namely the exact sciences, foresight has become pluridisciplinary, multidisciplinary and interdisciplinary, with an openness to the social sciences [2]. In doing so, it has moved considerably closer to the French approach, abandoning many of its earlier forecasting ambitions for a more strategic focus.

The French school of foresight (referred to as la prospective) originates in the thought of the philosopher and entrepreneur Gaston Berger. Deriving from a philosophy of collective action and engagement, it deals with value systems and constructs knowledge for political purposes [3], and has likewise become increasingly strategic in nature through contact with the worlds of international organisations, companies and regional territories [4]. Taking account of the long-term and la longue durée by postulating the plurality of possible futures, adopting the analysis of complex systems and deploying the theory and practice of modelling, foresight generates a strategic desire and willingness in order to influence and affect history. As I have helped to define it in various contexts – European (the Mutual Learning Platform of DG Research, DG Enterprise & Industry, and DG Regional & Urban Policy, supported by the Committee of the Regions) [5], French (the European Regional Foresight College) created under the auspices of the Interministerial Delegation of Land Planning and Regional Attractiveness (DATAR) in Paris) [6] or in Wallonia (the Wallonia Evaluation and Foresight Society) [7]– foresight is an independent, dialectical and rigorous process, conducted in a transdisciplinary way and taking in the longer sweep of history. It can shed light on questions of the present and the future, firstly by considering them in a holistic, systemic and complex framework, and secondly by setting them in a temporal context over and beyond historicity. Concerned above all with planning and action, its purpose is to provoke one or more transformations within the system that it apprehends by mobilising collective intelligence [8]. This definition is that of both la prospective and foresight; at any rate it was designed as such, as part of a serious effort to bring about convergence between these two tools undertaken by, in particular, the team of Unit K2 of DG Research and Innovation at the European Commission, led at the time by Paraskevas Caracostas.

The main distinguishing characteristic of the strategy behind the process of la prospective or foresight – some refer to la prospective stratégique or strategic foresight, which to my mind are pleonasms – is that it does not have a linear relationship with the diagnosis or the issues. Fundamentally, this tool reflects both the long-term issues it seeks to address and a vision of a desirable future that it has constructed with the actors concerned. Its circular process mobilises collective and collaborative intelligence at every step in order to bring about in reality a desired and jointly constructed action that operates over the long term and is intended to be efficient and operational. Foresight watch takes place at every step of this process. I define this as a continuous and largely iterative activity of active observation and systemic analysis of the environment, in the short, medium and long term, to anticipate developments and identify present and future issues with the ultimate purpose of forming collective visions and action strategies. It is based on creating and managing the knowledge needed as input into the process of foresight itself. This process extends from the choice of areas to work on (long-term issues) and of the necessary heuristic, via the analysis and capitalisation of information and its transformation into useful knowledge, to communication and evaluation [9].

2. Foresight and strategic intelligence

The Strategic Intelligence Research Group (GRIS) at HEC Liège, under the direction of Professor Claire Gruslin, sees strategic intelligence as ‘a mode of governance based on the acquisition and protection of strategic and relevant information and on the potential for influence, which is essential for all economic actors wishing to participate proactively in development and innovation by building a distinctive and lasting advantage in a highly competitive and turbulent environment’ [10].

For its part, the famous Martre Report of 1994, in its definition of economic intelligence, delineated a process fairly similar to that which I mentioned for foresight, likewise including monitoring, heuristics, the examination of issues, a shared vision and the strategy to achieve it, all set in a ‘continuous cycle’:

Economic intelligence can be defined as the set of coordinated actions by which information that is useful to economic actors is sought out, processed and distributed for exploitation. These various actions are carried out legally and benefit from the protection necessary to preserve the company’s assets, under optimal quality, time and cost conditions. Useful information is that needed by the different decision-making levels in the company or the community in order to develop and implement in a coherent manner the strategy and tactics necessary to achieve its objectives, with the goal of improving its position in its competitive context. These actions within the company are organised in a continuous cycle, generating a shared vision of the objectives to be achieved’ [11].

What is of particular interest in the search for parallels or convergences between economic intelligence and foresight is the idea, developed by Henri Martre, Philippe Clerc and Christian Harbulot, that the notion of economic intelligence goes beyond documentation, monitoring, data protection or even influence, to become part of ‘a true strategic and tactical intention’, supporting actions at different levels, from the company up to the global, international level[12].

 3. Foresight in strategic intelligence

At the turn of the millennium, as part of the European ESTO (European Science and Technology Observatory) programme, the Institute for Prospective Technological Studies (IPTS) in Seville gathered a series of researchers to examine the idea of strategic intelligence as a methodological vehicle or umbrella for public policy-making. The idea was to recognise and take account of the diversity of methods made available to decision-makers in order to structure and mobilise them to ensure successful policy-making [13]. As Ken Ducatel, one of the coordinators of this discussion, put it, ‘The concept of strategic intelligence not only offers a powerful methodology for addressing (EU) issues, but has the flexibility to connect to other forms of interaction, adapt to new models of governance and open up to technological changes and social developments that are faster than we have ever known before’ [14].

At the time of the REGSTRAT project coordinated by the Stuttgart-based Steinbeis Europa Zentrum in 2006, the concept of Strategic Policy Intelligence (SPI) tools – i.e. intelligence tools applied to public policy – had become accepted, in particular among the representatives of the Mutual Learning Platform referred to earlier. As my fellow foresight specialist Günter Clar and I pointed out in the report on the subject of foresight, strategic intelligence as applied to public policy can be defined as a set of actions designed to identify, implement, disseminate and protect information in order to make it available to the right person, at the right time, with the goal of making the right decision. As had become clear during the work, SPI’s tools include foresight, evaluation of technological choices, evaluation, benchmarking, quality procedures applied to territories, and so on. These tools are used to provide decision-makers and stakeholders with clear, objective, politically unbiased, independent and, most importantly, anticipatory information [15].

This work also made it possible to define strategic intelligence as observed in this context. Its content is adapted to the context, with hard and soft sides and a distributed character, underpinned by scale effects, the facilitation of learning, a balance between specific and generic approaches and increased accessibility. Its process is based on demand, the need to mobilise creativity, making tacit knowledge explicit, the evaluation of technological potential, a facilitation of the process and an optimal link with decision-making [16].

From this viewpoint, foresight is clearly one of the tools of strategic intelligence for the use of policy-makers and stakeholders.

 Anticipation, innovation and decision-making

The Directorate General for Research and Innovation of the European Commission has been involved for some years in forward-looking activities (FLAs) [17], just as the European Institute in Seville had been – as we saw – when it developed strategic policy intelligence (SPI) [18] tools for use in public policy-making[19]. FLAs include all systematic and participatory studies and processes designed to consider possible futures, proactively and strategically, and to explore and map out paths towards desirable goals [20]. This field obviously includes numerous different methods for anticipation of future developments, evaluation of technological choices, ex-ante evaluation, and so on.

In 2001, Ruud Smits, Professor of Technology and Innovation at the University of Utrecht, made three recommendations that he regarded as essential. First, he stressed, it was time to call a halt to the debate about definitions and to exploit the synergies between the different branches of strategic intelligence. Next, he noted the need to improve the quality of strategic intelligence and reinforce its existing sources. Finally, Smits called for the development of an interface between strategic intelligence sources and their users[21]. This programme has yet to be implemented, and our work at GRIS could be seen as reflecting this ambition.

This cognitive approach without a doubt brings us back to the distinction put forward by psychologist and Nobel Prize winner Daniel Kahneman, who refers in his book Thinking fast and slow to two cerebral systems. He describes System 1 as automatic, direct, impulsive, everyday, fast, intuitive, and involving no real effort; we use it in 95% of circumstances. System 2, by contrast, is conscious, rational, deliberative, slow, analytical and logical; we only use it 5% of the time, especially to make decisions when we find ourselves in systems that we consider complex[22]. It is at such times that we have to make the effort to mobilise tools suited to the tasks we are tackling.

This question concerns all strategic intelligence tools, including foresight. Not just because the investments to be made in these fields of research are considerable, but because, often, many of us are unaware of the extent of that which we are unable to understand. All too commonly, we think that what we can see represents the full extent of what exists. We confine ourselves to the variables that we are able to detect, embrace and measure, and have a considerable capacity to refuse to recognise other variables. We know that this syndrome of WYSIATI (‘what you see is all there is’) is devastating: it prevents us from grasping reality in its entirety by making us think that we are in full command of the territory around us and the horizon. As Kahneman puts it, ‘You cannot help dealing with limited information you have as if it were all there is to know’ [23].

This flaw – and there are others – should encourage us to join forces to cross methodological and epistemological boundaries and work to create more robust instruments that can be used to design more proactive and better-equipped public policies.

 

Philippe Destatte

@PhD2050

 

[1] A first version of this paper was presented at the Liège Business School on September 28, 2016.

[2] Paraskevas CARACOSTAS & Ugar MULDUR, Society, The Endless Frontier, A European Vision of Research and Innovation Policies for the 21st Century, Brussels, European Commission, 1997.

[3] ‘(…) By applying the principles of intentional analysis associated with phenomenology to the experience of time, Gaston Berger substitutes for the “myth of time” a temporal norm, an intersubjective construct for collective action. His philosophy of knowledge is thus constituted as a science of foresight practice whose purpose is normative: it is oriented towards work on values and the construction of a political project; it is a “philosophy in action”.‘ Chloë VIDAL, La prospective territoriale dans tous ses états, Rationalités, savoirs et pratiques de la prospective (1957-2014), p. 31, Lyon, Thèse ENS, 2015. Our translation.

[4] On la prospective territoriale, representing an encounter between the principles of foresight and those of regional development, see the reference to the DATAR international conference in March 1968. Chloë VIDAL, La prospective territoriale dans tous ses états, Rationalités, savoirs et pratiques de la prospective (1957-2014)…, p. 214-215.

[5] Günter CLAR & Philippe DESTATTE, Regional Foresight, Boosting Regional Potential, Mutual Learning Platform Regional Foresight Report, Luxembourg, European Commission, Committee of the Regions and Innovative Regions in Europe Network, 2006.

http://www.institut-destree.eu/Documents/Reseaux/Günter-CLAR_Philippe-DESTATTE_Boosting-Regional-Potential_MLP-Foresight-2006.pdf

[6] Ph. DESTATTE & Ph. DURANCE eds, Les mots-clefs de la prospective territoriale, p. 43, Paris, DIACT-DATAR, La Documentation française, 2009.

[7] Ph. DESTATTE, Evaluation, prospective et développement régional, p. 381, Charleroi, Institut Destrée, 2001.

[8] Ph. Destatte, What is foresight ?, Blog PhD2050, May 30, 2013.

https://phd2050.wordpress.com/2013/05/30/what-is-foresight/

[9] René-Charles TISSEYRE, Knowledge Management, Théorie et pratique de la gestion des connaissances, Paris, Hermès-Lavoisier, 1999.

[10] Guy GOERMANNE, Note de réflexion, Tentatives de rapprochement entre la prospective et l’intelligence stratégique en Wallonie, p. 7, Brussels, August 2016, 64 p.

[11] Henri MARTRE, Philippe CLERC, Christian HARBULOT, Intelligence économique et stratégie des entreprises, p. 12-13, Paris, Commissariat général au Plan (Plan Commission) – La Documentation française, February 1994.

http://bdc.aege.fr/public/Intelligence_Economique_et_strategie_des_entreprises_1994.pdf

[12] ‘The notion of economic intelligence implies transcending the piecemeal actions designated by the terms documentation, monitoring (scientific and technological, competitive, financial, legal and regulatory etc.), protection of competitive capital, and influencing (strategy for influencing nation-states, role of foreign consultancies, information and misinformation operations, etc). It succeeds in transcending these things as a result of the strategic and tactical intention which is supposed to preside over the steering of piecemeal actions and over ensuring their success, and of the interaction between all levels of activity at which the economic intelligence function is exercised: from the grassroots (within companies), through intermediate levels (interprofessional, local), up to the national (concerted strategies between different decision-making centres), transnational (multinational groups) or international (strategies for influencing nation-states) levels.’ H. MARTRE, Ph. CLERC, Ch. HARBULOT, Intelligence économique et stratégie des entreprises…, p. 12-13. Our translation.

[13] Strategic intelligence can be defined as a set of actions designed to identify, implement, disseminate and protect information in order to make it available to the right person, at the right time, with the goal of making the right decision. (…) Strategic intelligence applied to public policy offers a variety of methodologies to meet the requirements of policy-makers. Derived from Daniel ROUACH, La veille technologique et l’intelligence économique, Paris, PUF, 1996, p. 7 & Intelligence économique et stratégie d’entreprises, Paris, Commissariat général au Plan (Plan Commission), 1994. – Alexander TÜBKE, Ken DUCATEL, James P. GAVIGAN, Pietro MONCADA-PATERNO-CASTELLO eds, Strategic Policy Intelligence: Current Trends, the State of the Play and perspectives, S&T Intelligence for Policy-Making Processes, p. V & VII, IPTS, Seville, Dec. 2001.

[14] Ibidem, p. IV.

[15] Günter CLAR & Ph. DESTATTE, Mutual Learning Platform Regional Foresight Report, p. 4, Luxembourg, IRE, EC-CoR, 2006.

[16] Ruud SMITS, The New Role of Strategic Intelligence, in A. TÜBKE, K. DUCATEL, J. P. GAVIGAN, P. MONCADA-PATERNO-CASTELLO eds, Strategic Policy Intelligence: Current Trends, p. 17.

[17] Domenico ROSSETTI di VALDALBERO & Parla SROUR-GANDON, European Forward Looking Activities, EU Research in Foresight and Forecast, Socio-Economic Sciences & Humanities, List of Activities, Brussels, European Commission, DGR, Directorate L, Science, Economy & Society, 2010. http://ec.europa.eu/research/social-sciences/forward-looking_en.html – European forward-looking activities, Building the future of « Innovation Union » and ERA, Brussels, European Commission, Directorate-General for Research and Innovation, 2011. ftp://ftp.cordis.europa.eu/pub/fp7/ssh/docs/european-forward-looking-activities_en.pdf

[18] ‘Strategic Intelligence is all about feeding actors (including policy makers) with the tailor made information they need to play their role in innovation systems (content) and with bringing them together to interact (amongst others to create common ground).’ Ruud SMITS, Technology Assessment and Innovation Policy, Seville, 5 Dec. 2002. ppt.

[19] A. TÜBKE, K. DUCATEL, J. P. GAVIGAN, P. MONCADA-PATERNO-CASTELLO eds, Strategic Policy Intelligence: Current Trends, …

[20] Innovation Union Information and Intelligence System I3S – EC 09/06/2011.

[21] R. SMITS, The New Role of Strategic Intelligence…, p. 17. – see also R. SMITS & Stefan KUHLMANN, Strengthening interfaces in innovation systems: rationale, concepts and (new) instruments, Strata Consolidating Workshop, Brussels, 22-23 April 2002, RTD-K2, June 2002. – R. SMITS, Stefan KUHLMANN and Philip SHAPIRA eds, The Theory and Practice of Innovation Policy, An International Research Handbook, Cheltenham UK, Northampton MA USA, Edward Elgar, 2010.

[22] Daniel KAHNEMAN, Thinking fast and slow, p. 201, New York, Farrar, Straus and Giroux, 2011.

[23] D. KAHNEMAN, Thinking fast and slow, p. 201.

Porqué el mundo está mejorando y posiblemente así continúe?

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Why the World Is Still Getting Better—and That’s Likely to Continue

If you read or watch the news, you’ll likely think the world is falling to pieces. Trends like terrorism, climate change, and a growing population straining the planet’s finite resources can easily lead you to think our world is in crisis.

But there’s another story, a story the news doesn’t often report. This story is backed by data, and it says we’re actually living in the most peaceful, abundant time in history, and things are likely to continue getting better.

The News vs. the Data

The reality that’s often clouded by a constant stream of bad news is we’re actually seeing a massive drop in poverty, fewer deaths from violent crime and preventable diseases. On top of that, we’re the most educated populace to ever walk the planet.

“Violence has been in decline for thousands of years, and today we may be living in the most peaceful era in the existence of our species.” –Steven Pinker

In the last hundred years, we’ve seen the average human life expectancy nearly double, the global GDP per capita rise exponentially, and childhood mortality drop 10-fold.

abundance-infographic-v9-today

That’s pretty good progress! Maybe the world isn’t all gloom and doom.

If you’re still not convinced the world is getting better, check out the charts in this article from Vox and on Peter Diamandis’ website for a lot more data.

Abundance for All Is Possible  

So now that you know the world isn’t so bad after all, here’s another thing to think about: it can get much better, very soon.

In their book Abundance: The Future Is Better Than You Think, Steven Kotler and Peter Diamandis suggest it may be possible for us to meet and even exceed the basic needs of all the people living on the planet today.

“In the hands of smart and driven innovators, science and technology take things which were once scarce and make them abundant and accessible to all.”

This means making sure every single person in the world has adequate food, water and shelter, as well as a good education, access to healthcare, and personal freedom.

This might seem unimaginable, especially if you tend to think the world is only getting worse. But given how much progress we’ve already made in the last few hundred years, coupled with the recent explosion of information sharing and new, powerful technologies, abundance for all is not as out of reach as you might believe.

Throughout history, we’ve seen that in the hands of smart and driven innovators, science and technology take things which were once scarce and make them abundant and accessible to all.

Napoleon III
Napoleon III

In Abundance, Diamandis and Kotler tell the story of how aluminum went from being one of the rarest metals on the planet to being one of the most abundant…

In the 1800s, aluminum was more valuable than silver and gold because it was rarer. So when Napoleon III entertained the King of Siam, the king and his guests were honored by being given aluminum utensils, while the rest of the dinner party ate with gold.

But aluminum is not really rare.

In fact, aluminum is the third most abundant element in the Earth’s crust, making up 8.3% of the weight of our planet. But it wasn’t until chemists Charles Martin Hall and Paul Héroult discovered how to use electrolysis to cheaply separate aluminum from surrounding materials that the element became suddenly abundant.

The problems keeping us from achieving a world where everyone’s basic needs are met may seem like resource problems — when in reality, many are accessibility problems.

The Engine Driving Us Toward Abundance: Exponential Technology

History is full of examples like the aluminum story.  The most powerful one of the last few decades is information technology. Think about all the things that computers and the internet made abundant that were previously far less accessible because of cost or availability …

Here are just a few examples:

  • Easy access to the world’s information
  • Ability to share information freely with anyone and everyone
  • Free/cheap long-distance communication
  • Buying and selling goods/services regardless of location

Less than two decades ago, when someone reached a certain level of economic stability, they could spend somewhere around $10K on stereos, cameras, entertainment systems, etc — today, we have all that equipment in the palm of our hand.

Now, there is a new generation of technologies heavily dependant on information technology and, therefore, similarly riding the wave of exponential growth. When put to the right use, emerging technologies like artificial intelligenceroboticsdigital manufacturing, nano-materials and digital biology make it possible for us to drastically raise the standard of living for every person on the planet.

abundance-infographic-v9-tools

These are just some of the innovations which are unlocking currently scarce resources:

    • IBM’s Watson Health is being trained and used in medical facilities like the Cleveland Clinic to help doctors diagnose disease. In the future, it’s likely we’ll trust AI just as much, if not more than humans to diagnose disease, allowing people all over the world to have access to great diagnostic tools regardless of whether there is a well-trained doctor near them.
    • Self-driving cars are already on the roads of several American cities and will be coming to a road near you in the next couple years. Considering the average American spends nearly two hours driving every day, not having to drive would free up an increasingly scarce resource: time.

The Change-Makers

Today’s innovators can create enormous change because they have these incredible tools—which would have once been available only to big organizations—at their fingertips. And, as a result of our hyper-connected world, there is an unprecedented ability for people across the planet to work together to create solutions to some of our most pressing problems today.

“In today’s hyperlinked world, solving problems anywhere, solves problems everywhere.” –Peter Diamandis and Steven Kotler, Abundance

According to Diamandis and Kotler, there are three groups of people accelerating positive change.

abundance-infographic-v9-people

  1. DIY Innovators

    In the 1970s and 1980s, the Homebrew Computer Club was a meeting place of “do-it-yourself” computer enthusiasts who shared ideas and spare parts. By the 1990s and 2000s, that little club became known as an inception point for the personal computer industry — dozens of companies, including Apple Computer, can directly trace their origins back to Homebrew.

    Since then, we’ve seen the rise of the social entrepreneur, the Maker Movement and the DIY Bio movement, which have similar ambitions to democratize social reform, manufacturing, and biology, the way Homebrew democratized computers. These are the people who look for new opportunities and aren’t afraid to take risks to create something new that will change the status-quo.

  2. Techno-Philanthropists

    Unlike the robber barons of the 19th and early 20th centuries, today’s “techno-philanthropists” are not just giving away some of their wealth for a new museum, they are using their wealth to solve global problems and investing in social entrepreneurs aiming to do the same.

    The Bill and Melinda Gates Foundation has given away at least $28 billion, with a strong focus on ending diseases like polio, malaria, and measles for good. Jeff Skoll, after cashing out of eBay with $2 billion in 1998, went on to create the Skoll Foundation, which funds social entrepreneurs across the world. And last year, Mark Zuckerberg and Priscilla Chan pledged to give away 99% of their $46 billion in Facebook stock during their lifetimes.

  3. The Rising Billion

    Cisco estimates that by 2020, there will be 4.1 billion people connected to the internet, up from 3 billion in 2015. This number might even be higher, given the efforts of companies like Facebook, Google, Virgin Group, and SpaceX to bring internet access to the world. That’s a billion new people in the next several years who will be connected to the global conversation, looking to learn, create and better their own lives and communities.In his book, Fortune at the Bottom of the Pyramid, C.K. Pahalad writes that finding co-creative ways to serve this rising market can help lift people out of poverty while creating viable businesses for inventive companies.

The Path to Abundance

Eager to create change, innovators armed with powerful technologies can accomplish incredible feats. Kotler and Diamandis imagine that the path to abundance occurs in three tiers:

  • Basic Needs (food, water, shelter)
  • Tools of Growth (energy, education, access to information)
  • Ideal Health and Freedom

abundance-infographic-v9-path

Of course, progress doesn’t always happen in a straight, logical way, but having a framework to visualize the needs is helpful.

Many people don’t believe it’s possible to end the persistent global problems we’re facing. However, looking at history, we can see many examples where technological tools have unlocked resources that previously seemed scarce.

Technological solutions are not always the answer, and we need social change and policy solutions as much as we need technology solutions. But we have seen time and time again, that powerful tools in the hands of innovative, driven change-makers can make the seemingly impossible happen.


You can download the full “Path to Abundance” infographic here. It was created under a CC BY-NC-ND license. If you share, please attribute to Singularity University.

Image Credit: janez volmajer / Shutterstock.com

136

Mirada tendencial al 2030 WEF

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Cuarta revolución industrial
Medium xgbnjuevfyviaoncfgrsfrb5 xzsqu260ghhi2hqmxw
Les pedimos a los expertos de nuestros Consejos Mundiales Futuros que compartieran su opinión acerca del mundo en 2030; y estos son los resultados, desde la muerte de las compras hasta el resurgimiento de los Estados nación.

“Nada me pertenece. No tengo coche. No soy dueña de mi casa. No poseo electrodomésticos ni ropa”, escribe la parlamentaria danesa Ida Auken. En la ciudad de 2030, las compras son un recuerdo lejano; sus habitantes han encontrado la solución de la energía limpia y toman prestado lo que necesitan a pedido.

“China tomó la delantera en 2017 con un mercado para negociar el derecho a emitir una tonelada de CO2, y colocó al mundo en un camino hacia un solo precio del carbono y un poderoso incentivo para abandonar los combustibles fósiles”, predice Jane Burston, directora de Clima y Medioambiente del Laboratorio Nacional de Física del Reino Unido. Paralelamente, Europa se encontró en el centro del comercio de paneles solares baratos y eficientes, ya que los precios de las energías renovables descendieron considerablemente.

Robert Muggah, director de Investigación del Instituto Igarapé, predice que no habrá una sola potencia mundial, sino un puñado de países —entre los que se destacan Estados Unidos, Rusia, China, Alemania, India y Japón— que presentarán tendencias semiimperiales. Sin embargo, al mismo tiempo, el papel del Estado se ve amenazado por otras tendencias, que incluyen el crecimiento de las ciudades.

Según Melanie Walker, una médica y asesora del Banco Mundial, el hospital tal como lo conocemos está en vías de desaparición; habrá menos accidentes gracias a los vehículos autodirigidos y grandes avances en medicina preventiva y personalizada. No habrá escalpelos ni donantes de órganos, sino pequeños tubos robotizados y órganos bioimpresos.

Al igual que nuestros abuelos, no utilizaremos la carne como alimento básico, escribe Tim Benton, profesor de Ecología de Poblaciones de la Universidad de Leeds, Reino Unido. No serán la gran agricultura o los pequeños productores artesanales quienes ganen, sino una combinación de ambos, con alimentos preparados rediseñados para ser más saludables y menos dañinos para el medioambiente y nuestro cuerpo.

Los refugiados sirios con formación académica superior habrán alcanzado la mayoría de edad para el año 2030, y defenderán la integración económica de aquellos que han sido forzados a huir del conflicto. Según Lorna Solís, fundadora y directora ejecutiva de la ONG Blue Rose Compass, el mundo necesita estar mejor preparado para las poblaciones en movimiento, ya que el cambio climático desplazará alrededor de 1000 millones de personas.

“Nos olvidamos de los derechos y libertades que refuerzan nuestras democracias a nuestro propio riesgo”, escribe Kenneth Roth, director ejecutivo de Human Rights Watch.

Además, una vez que lleguemos allí, es probable que descubramos evidencia de vida extraterrestre, escribe Ellen Stofan, jefa científica de la NASA. La “gran ciencia” nos ayudará a responder a grandes preguntas sobre la vida en la tierra, así como a abrir aplicaciones prácticas para la tecnología espacial.

Debemos vender la idea de la orientación al futuro

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http://futureoriented.eu/future-orientation/

Author: Anna Pajak, ITeE

What is the place of Foresight and Futures Literacy among economic challenges of the 21st Century? And how economists can make usage of Futures Studies? This time we were presenting the potential of futures thinking in the context of economic transformations and globalization, during the 7th International Scientific Conference “World Economy – Challenges of the 21st Century” that took place in Radom (Poland) on the 24th of November.

The discussion led to the important question: What incentives can we offer to the companies in order to make them future (long-term?) – oriented in the times of strategic thinking defeated by short-termism? The question that may be even more important is: why we still need to ‘sell’ the idea of future orientation?

Short-term orientation is not a new concern in the world’s financial history, but the crisis of 2008-10 made a short-termism issue alive and strongly relevant again. Two hundred days is the time that an average share of the firms in the S&P 500 index stay in “one hands”.

According to FCLT Global 2016 report “Rising to the challenge of short-termism”, it is commonly believed by board members and executives that the short-term pressure is continually growing. 87% of over 1000 surveyed C-level executives and board members (representing the companies from across the world, covering a full range of industries and functions) admit to feel the highest pressure to exhibit strong financial results within two years or less.

Despite the newest research findings by McKinsey Global Institute, showing that long-term companies demonstrate better (stronger and more stable) financial performance, the corporate short-termism seems to do very well across the companies. Not getting to much into details, outperformance of the long-term-oriented organizations is expressed in very important economic measures, to mention average revenue and earnings, economic profit, market capitalization or new jobs creation.

Future-orientation (and strategic planning based on long-term vision) and often the agreement for the resignation from immediate, short-term profits may be difficult and meets stakeholder’s objections. From the other hand the speed and scale of global changes, environmental challenges (including growing scarcity of natural resources and climate change) require new business models and greater flexibility in order to manage the future challenges. It also requires new view at the economic measures for tangible and intangible assets and new look at natural resources and the rationale of homo oeconomicus. It highlights the problem of measurement and assessment of transformations and changes, since emergent and novel phenomena can rarely be the subject of the assessment of existing historical models and variables, in the words of Riel Miller (2015) If the goal is transformation then the kinds of changes that define a ‘successful outcome’ cannot be fully described using yesterday’s metrics.

So, can foresight be a remedy for the short-termism of companies and assist economists in building welfare and sustainable economic development through explaining trends and new economic paradigms? Looks like the first steps are still before us: finding a common language, conceptual apparatus and mutual understanding of methodologies. But definitely these are the steps worth taking. At the end of the day we all have a common goals and look in the same direction – the future.

Escenarios del bienestar humano. Escenarios 2042

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The Future is Dystopian or Bright?

posted Nov 19, 2017, 5:09 AM by Paul Imre 

https://sites.google.com/a/imreltd.co.uk/unconference-ai-gx/project-updates/thefutureisdystopianorbright

The future is one of many possibilities and these possibilities range greatly in scope and outcome. The changes in technology that are predicted to occur over the next 30 years could have a profound effect on the way work is performed, food production, and the environment. However, as with all periods of great advancement that have occurred in human history, there are many possible outcomes. For purposes of simplicity, these can be divided into positive outcomes, negative outcomes, or neutral outcomes. Here is what each outcome could possibly look like.

Probability 60% Abundance And HopeHuman Future Progress

The greatest possible outcome is the improvement of the human condition. Historically human civilization has trended upward with lifespans increasing, education improving, greater freedoms, personal earnings increasing, and deaths due to widespread violence decreasing. Now, this is not to say civilization’s advancements haven’t had periods of difficulty, war, strife, and the occasional setbacks but taken as a whole things tend to get better in ways that can be hard to see in the moment. The next several decades are certainly ones with great potential. Advancements in fields such as artificial intelligence, automation, and the medical fields have the potential to have profound effects on not only how we work and live but also on how long we live and the level of comfort in which we live. Solving highly important issues such as world hunger are a possibility and looking to past achievements (such as the elimination of certain diseases) there are signs that such things are achievable again in the future.

Probability 30% Dystopia And Societal Collapse

Not all thoughts about the future are hopeful ones. Looking through human history even very powerful civilizations have fallen (Western Rome and the Achaemenid Empire are two such historical examples). No matter where or when the key factors that cause civilizational decline are various types of common ‘stress events’ related to the economy, rule of law, strength of the government, wartime concerns, population density, and so on. Not everyone views technological advancements as beneficial and see several ways they could have a negative impact on society. Common examples include automation decreasing the availability of work without anything to fill this new employment gap, governments using technology to spy on or control their citizens, technology driving wealth inequality to levels that destroy societal bonds, and the always popular AI takeover which has been around for a very long time but is increasingly popular due to AI advancing as a field of study. Certainly, scepticism is healthy and bad outcomes are certainly possible. However, by being aware of these possibilities preventative measures can be taken to prevent them from occurring or limiting their impact when avoidance is not realistically possible.

Probability 10% Business As Usual

The last of the three possible outcomes is also the least dynamic. Things go on much like they always have with the same highs, lows, successes, failures, problems, and solutions. The idea being that the issues humanity faces now will endure despite technological advances and that issues such as famine and disease will find new ways to trouble us. While not impossible the idea is flawed in its very premise hence its low probability. It relies on the end of history concept in that humanity endures but nothing changes because we’ve reached an endpoint in the development of the systems that guide human civilizations. History to this point shows humans tend not to operate in this way and continually try to innovate and experiment with things with many people driven by this need to innovate.

Final Thoughts

With the sheer number of variables that will affect what the future brings predicting with 100 percent undeniable certainty what will happen is an impossibility. Anyone saying they unequivocally know the exact outcome of future events is either lying, sure of themselves to an unhealthy degree or trying to sell you something. In the end, technology will advance and new breakthroughs will be made. How these discoveries are used depends on input from people from several different walks of life and in several different professions both public and private. The possibilities for both a better future and dystopia are there but through careful judgment and a pragmatic future-minded worldview, the odds favour humanities continued advancement.

Credit for image concept: @dw2  David Wood

5 Caminos de la Inteligencia Artificial para el 2018

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Los caminos que tomará la inversión en Inteligencia Artificial el 2018

Daniel Fajardo  10/11/2017

Existe un consenso en la industria TI de que la Inteligencia Artifical (IA) será la tecnología top one para el próximo año. Conceptos como big data, asistentes virtuales, cloud e IoT siguen en el podio, pero la mayoría influidos por la IA, tanto a nivel masivo, como en el sector corporativo.

1. El protagonismo de la Inteligencia Artificial inunda a todas las industrias

Claramente, la Inteligencia Artificial (IA) se comenzó a robar todas las cámaras en las tendencias tech el 2017. Para el próximo año, seguirá siendo la protagonista. Actualmente se generan 2.500 millones de gigabytes de datos al día y para el 2020 se esperan 40 zettabytes. Según IDC, en 2018 un tercio de las empresas latinoamericanas adquirirá esta nueva herramienta para procesar información y la inversión en sistemas cognitivos rondará los US$350 millones hacia 2020. “Estamos trabajando en más de 70 proyectos y con 40 empresas distintas, las que se han atrevido a romper con los paradigmas actuales creando organizaciones cognitivas”, comenta, Aldo Marzolo, gerente general de Cognitiva en Chile.

2. Los asistentes virtuales comienzan a insertarse en las empresas

Los asistentes virtuales como Alexa de Amazon, Siri de Apple y Cortana de Microsoft han existido por algún tiempo en el mundo de los consumidores.

Pero ahora están empezando a abrirse camino en el espacio de trabajo “y están ayudando a las empresas a reducir costos mediante la automatización de tareas básicas realizadas previamente por personas o completar las tareas cotidianas con mayor rapidez”, indica Marco Cantamessi, gerente general de Dimension Data Chile. Según un estudio de tendencias 2018 de esta compañía, un 62% de las organizaciones espera que los asistentes virtuales tengan un lugar en sus empresas en los próximos dos años.

3. El big data se potenciará con la computación cognitiva

Según IDC, el crecimiento del big data y soluciones analíticas hacia 2018 será de 33% en infraestructura en la nube, 29% en software, y 29% en servicios. Pero desde Ricoh, comentan que lo digital no es el destino, sino la base para una transformación mucho más profunda. “El crecimiento exponencial del tráfico de datos en términos de velocidad, variedad y volumen presenta un enorme desafío que hoy en día está siendo manejado por los sistemas de big data. Sin embargo, la convergencia de esta tecnología con la computación cognitiva (CC), significará un salto cualitativo en cómo se procesa el inmenso flujo de datos”, indica Crispín Vélez, encargado de Transformación Digital de Ricoh Latinoamérica.

4. La combinación entre realidad aumentada y machine learning

El gigante de logística, DHL, está utilizando con éxito el machine learning (aprendizaje por medio de los datos), IA y la realidad aumentada (RA) en sus operaciones de preparación de pedidos en el almacén mediante el uso de gafas inteligentes. Los lentes colocan un mostrador frente a los ojos del usuario, que le ofrecen instrucciones visuales de los pedidos, la ubicación exacta de las mercancías en el almacén y dónde deben colocarse en el carro.

Según Cantamessi, de Dimension Data, “estamos empezando a ver casos de uso de realidad aumentada que van mucho más allá de las industrias del entretenimiento y el juego, ahora está comenzando a moverse hacia el espacio del consumidor”.

5. El crecimiento de la inversión en los “Analíticos Predictivos”

Otra tecnología que está ganando rápidamente la atención de organizaciones en todo el mundo son los Analíticos Predictivos (AP). De acuerdo con Frost & Sullivan, los ingresos generados globalmente por esta tecnología exhibirán un crecimiento anual compuesto (CAGR) del 25% entre 2016 y 2020, apalancado por la demanda de soluciones de inteligencia de negocios que brinden mayor agilidad y competitividad a las empresas. “Los AP están penetrando los procesos de toma de decisiones de buena parte de las empresas de la lista Fortune 500, permitiendo obtener inteligencia en tiempo real lista para traducirse en acciones concretas y para ofrecer predicciones sobre tendencias y probabilidades futuras”, dice Crispín Vélez.

ECONOMÍA & DINERO

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