Fresh Ideas on Private Sector Development - by Category

Jun 17, 2021

Enabling A Competitive Mobile Sector in Emerging Markets Through the Development of Tower Companies

Sharing mobile network infrastructure through specialized companies called towercos is a business model with the potential to accelerate access to quality mobile connectivity for individuals and businesses in emerging markets. A significant number of developing countries have yet to adopt this model, however, and many others continue to struggle with competition issues within their tower markets. This note provides the rationale and policy options for a light regulatory regime that can enable the entry and sustainable development of a dynamic market for towercos in emerging markets. The note also discusses the evolution of the towerco model into small cells and distributed antenna systems, both of which help enable high-speed mobile connectivity technologies like 4G and 5G.

English | 8 pages—June—Note 104 | IFC 2021

Apr 28, 2021

Enabling Private Investment in 5G Connectivity in Emerging Markets—An Assessment of Challenges and Policy Options

This note proposes a high-level framework to assess challenges and policy options to enabling private sector-led investment in 5G connectivity in emerging markets. 5G is the latest mobile network technology and it has the potential to provide high-speed Internet connectivity and enable digital transformation across multiple sectors of an economy. The proposed framework leverages industry data to articulate the digital divide and benchmark the enabling environment for 5G connectivity in emerging markets. The note concludes with recommendations on policy options and business strategies, drawing from early experiences in advanced markets and major opportunities and challenges in emerging markets.

English | 8 pages — April —Note 102 | IFC 2021

Mar 19, 2021

Artificial Intelligence in Emerging Markets - Opportunities, Trends, and Emerging Business Models – Second Edition

This report explores the latest AI applications and trends in emerging markets and includes several examples of how AI is expanding opportunities and contributing to the achievement of the Sustainable Development Goals. It also sheds light on how investors, clients, and governments can harness its full potential while minimizing its risks—when managed effectively and with safeguards in place, AI can facilitate private investment to reduce poverty and improve lives at a pace inconceivable only a decade ago.

English | 148 pages | IFC 2021

Jan 4, 2021

How Artificial Intelligence Can Help Advance Post-Secondary Learning in Emerging Markets

Tertiary and vocational learning is widely recognized as critical for all countries’ economic success. While progress has been made toward achieving the 4th United Nations’ Sustainable Development Goal (SDG 4) by 2030—“Ensure Inclusive and Equitable Quality Education and Promote Lifelong Learning for All”—a 2019 UN report shows that some 750 million adults are functionally illiterate. These statistics illustrate the enormous challenge of adequately preparing the workforce for rapid technological change that will require continual reskilling. Although machines with artificial intelligence are likely to replace millions of workers across the world, AI also has great potential to enable workers to keep up with technological change and remain employable. This note attempts to illustrates how AI can support post-secondary learning across the entire tertiary and vocational education sector in emerging markets.

English | 8 pages—January—Note 97 | IFC 2021

Nov 20, 2020

Deep Tech Solutions for Emerging Markets

Deep tech companies aim to address the world’s biggest challenges. These include providing Internet access to the unconnected, reducing greenhouse gas emissions, significantly increasing productivity gains across industries, and helping to solve many other intractable problems, particularly in emerging market and developing economies. A deep tech company brings transformative technology from the lab to the market, and democratized research infrastructure and increased available funding has led to the rise of deep tech companies globally, including in emerging markets. Yet commercialization is critical to realizing the benefits of deep tech solutions, and deep tech firms often struggle to successfully commercialize their breakthroughs.

English | 8 pages—November—Note 94 | IFC 2020

Nov 11, 2020

Crowdsourcing the Future of SME Financing

This publication showcases best articles from SME practitioners globally on what SME finance will look like in 2030.

Sep 30, 2020

Artificial Intelligence and Healthcare in Emerging Markets

Significant investments in health technology, including those using digital health and artificial intelligence, are expected to contribute to bridging the health service gap in emerging markets, given the potential of these new innovations to reach underserved patients. Many health-tech innovators are integrating AI into their product solutions, with early examples showing promise in improving diagnoses, reducing costs, and enabling access to remote health services.

English | 8 pages — September — Note 91 | IFC 2020

Sep 8, 2020

Artificial Intelligence in Emerging Markets—Opportunities, Trends, and Emerging Business Models

This report explores the latest AI applications and trends in emerging markets and includes several examples of how AI is expanding opportunities and contributing to the achievement of the Sustainable Development Goals. It also sheds light on how investors, clients, and governments can harness its full potential while minimizing its risks—when managed effectively and with safeguards in place, AI can facilitate private investment to reduce poverty and improve lives at a pace inconceivable only a decade ago.

English | 117 pages | IFC 2020

Jul 27, 2020

AI Investments Allow Emerging Markets to Develop and Expand Sophisticated Manufacturing Capabilities

As advances in machine learning, computer vision, and robotics help manufacturers around the world improve their processes and produce new and more complex products, artificial intelligence (AI) is becoming an integral tool of modern manufacturing, and one that is increasingly important to the industry’s future. By combining large volumes of data with the computing power to simulate human thinking, AI is increasing the efficiency, capacity, and complexity of factory floors, and is introducing robotics, the Internet of Things, and other cutting-edge innovations to manufacturing value chains across the globe.

English | 8 pages – July – Note 87 | IFC 2020

Jun 23, 2020

Leveraging Big Data to Advance Gender Equality

Achieving gender equality will require significant amounts of accurate data about the situations and struggles of women and girls. Globally, however, there is a major gap in data that is disaggregated by sex, and this gap often renders women’s societal, cultural, and economic contributions and obstacles practically invisible. It can also exacerbate existing gender divides, feeding and reinforcing biases in social programs, access to financial and other services, economic opportunities, and even development programs designed to address gender inequality. Part of the solution may be in the form of big data, which, if used effectively, can provide the volume of data needed to portray women and their situations accurately, which in turn can inform the creation of evidence-based solutions.

English | 8 Pages - June - Note 86 | IFC 2020

Jun 1, 2020

Artificial Intelligence Innovation in Financial Services

Artificial intelligence technologies are permeating financial services sectors around the world. The application of these technologies in emerging markets allows financial service providers to further automate their business processes and to leverage new and big data sources to overcome obstacles— including the high cost of serving rural and low-income customers and establishing customer identity and creditworthiness—that prevent the delivery of financial services to many consumers. Realizing financial inclusion benefits through the adoption of artificial intelligence relies on its responsible adoption by firms, on competitive market settings, and on continued investment in the necessary infrastructure.

English | 8 Pages - June - Note 85 | IFC 2020

May 20, 2020

Leveraging Inclusive Businesses Models to Support the Base of the Pyramid during COVID-19

The COVID-19 crisis is expected to roll back some of the progress made against global poverty over the last two decades, with the greatest impact on individuals at the base of the economic pyramid. Inclusive businesses that expand access to goods, services, and livelihoods for these individuals are responding to the crisis by reorienting and adapting their inclusive business models and operations. This note highlights seven actions that companies are taking to address needs at the base of the pyramid. We present their actions here as examples of what other businesses could do in response to the needs of those at the base of the pyramid.

English | 8 Pages - May - Note 84 | 2020 IFC

May 7, 2020

What COVID-19 Means for Digital Infrastructure in Emerging Markets

The COVID-19 pandemic shows that digital connectivity is critical to societal resilience and business continuity in times of crisis. For digital infrastructure providers in emerging markets, higher demand for connectivity may be counterbalanced by a series of negative shocks. These could affect broadband operators and smaller companies, leading to less competition, limited availability of open-access broadband infrastructure, and reduced technological innovation. However, the perceived value of digital connectivity is likely to rise, creating opportunities to implement policy reforms to accelerate the rollout of 4G and 5G. Digital infrastructure companies, however, may accelerate their migration toward diversified business models. Against a background of funding withdrawal from emerging markets, financing for smaller or independent companies in the poorest economies may require substantial support from development finance institutions to preserve competition, improve resilience, and pr

English | 8 Pages - May - Note 83 | 2020 IFC

May 5, 2020

Artificial Intelligence in Agribusiness is Growing in Emerging Markets

Business models utilizing artificial intelligence can help meet rising global demand for food and support a more inclusive and sustainable food system by: (1) enhancing the resilience of farming methods; (2) reducing the cost of quality inputs and services to underserved farmers; and (3) improving market access to facilitate smallholder farmer integration into regional and global supply chains. Although nascent in emerging economies, applications for artificial intelligence in agribusiness will proliferate as farmers’ access to the Internet and adoption of smart devices increases across low-income countries.

English | 8 Pages - May - Note 82 | 2020 IFC

Apr 28, 2020

Artificial Intelligence in the Power Sector

The energy sector worldwide faces growing challenges related to rising demand, efficiency, changing supply and demand patterns, and a lack of analytics needed for optimal management. These challenges are more acute in emerging market nations. Efficiency issues are particularly problematic, as the prevalence of informal connections to the power grid means a large amount of power is neither measured nor billed, resulting in losses as well as greater CO2 emissions, as consumers have little incentive to rationally use energy they don’t pay for. The power sector in developed nations has already begun to use artificial intelligence and related technologies that allow for communication between smart grids, smart meters, and Internet of Things devices. These technologies can help improve power management, efficiency, and transparency, and increase the use of renewable energy sources.

English | 8 Pages - April - Note 81 | 2020 IFC

Mar 16, 2020

Developing Artificial Intelligence Sustainably: Toward a Practical Code of Conduct for Disruptive Technologies

The adoption and diffusion of artificial intelligence and other disruptive technologies will play an important role in market creation and growth. Development finance institutions have a role to play in leveraging their investments to ensure that these technologies sustain both growth and development objectives. To this end, the authors propose adoption of a Technology Code of Conduct as a framework, supported by a set of practical tools for its operationalization, to assist IFC’s clients engaged in technology intensive projects.

English | 8 Pages - March - Note 80 | IFC 2020

Mar 16, 2020

IFC Technology Code of Conduct—Progression Matrix—Public Draft

The Progression Matrix is a tool that helps companies adopt the Technology Code of Conduct—a framework designed for IFC clients engaged in technology-intensive projects. In this addendum to Note 80, the Matrix identifies technical and business practices that help companies put principles of sustainable technology into practice in a way consistent with their stage of financing and maturity, including emerging, later-stage, and mature companies.

English | 8 Pages - March - Note 80a - Addendum to IFC EM Compass Note 80 | IFC 2020

Feb 28, 2020

Accelerating Digital Connectivity Through Infrastructure Sharing

Digital connectivity has enormous potential to support development. Yet today some four billion people in emerging economies remain offline, partly due to a lack of affordable Internet access. Sharing infrastructure among operators and across sectors is a potential solution. It can accelerate digital connectivity at lower cost, especially in the least developed markets where returns to investment can be limited. It can also reduce investment costs and operating expenses for investors and operators, and increase their balance sheet sustainability. Sharing models can also benefit consumers by increasing competition, lowering prices, and raising service quality. The private sector has already embraced this model; further expansion requires targeted policies that promote competition and facilitate sharing.

English | 8 Pages - February - Note 79 | IFC 2020

Feb 11, 2020

Artificial Intelligence and the Future for Smart Homes

Population growth and urbanization in emerging markets will mean expanding cities and rising demand for new housing in urban areas around the world. These trends represent an enormous opportunity to design, build, and operate the homes of tomorrow in intelligent ways that minimize energy consumption and carbon emissions, lower building and homeowner costs. Artificial intelligence will play a pivotal role in this effort by using data—including grid data, smart meter data, weather data, and energy use information—to study and improve building performance, optimize resource consumption, and increase comfort and cost efficiency for residents. AI will also analyze data collected from multiple buildings to improve building design and construction and inform future policy making related to construction and urban planning.

English | 8 Pages - February - Note 78 | IFC 2020

Dec 18, 2019

Artificial Intelligence and 5G Mobile Technology Can Drive Investment Opportunities in Emerging Markets

The intersection of artificial intelligence and 5G mobile technology has enormous potential to deliver dramatic improvements in productivity, efficiency, and cost across business sectors and broader society, delivering innovative products and services not previously possible. Though mainstream applications that combine AI and 5G have yet to emerge, key emerging markets sectors such as agribusiness, healthcare and education will be transformed by the combination of AI and 5G. While many mobile operators remain focused on recouping their investments in previous network standards, there is a growing interest in 5G networks globally.

English | 8 Pages - December - Note 76 | IFC 2019

Nov 6, 2019

How Artificial Intelligence is Making Transport Safer, Cleaner, More Reliable and Efficient in Emerging Markets

Transport in emerging markets often faces acute challenges due to poor infrastructure, growing populations, urbanization, and in some regions rising prosperity, which increases vehicle traffic, cargo volumes, and pollution. Artificial intelligence offers new solutions to these challenges by making market entry easier and allowing countries to reach underserved populations, creating markets and private sector investment opportunities associated with them.

English | 8 Pages - November - Note 75 | IFC 2019

Oct 31, 2019

Bridging the Trust Gap: Blockchain’s Potential to Restore Trust in Artificial Intelligence in Support of New Business Models

Rapid increases in computing power and data generation have turned artificial intelligence, blockchain, and the Internet of Things into potent technologies that are rapidly gaining use in many areas of society and commerce, with significant potential benefits for economic growth and development. These innovative technologies face multiple obstacles to implementation and—particularly in the case of AI—a general wariness of their potential implications for human society. Fortunately, an integrated implementation of the three technologies may be a solution that can restore human trust in AI and blockchain applications, resulting in new business models that deliver data security and privacy, efficiency, and inclusion along with their many other benefits.

English | 8 Pages - October - Note 74 | IFC 2019

Sep 18, 2019

Artificial Intelligence: Investment Trends and Selected Industry Uses

The global race to fund, develop, and acquire artificial intelligence (AI) technologies and start-ups is intensifying, with commercial uses for AI proliferating in advanced and emerging economies alike. AI could increase GDP growth in both advanced countries and emerging markets. In healthcare, diagnosis and drug discovery will benefit enormously from AI. In manufacturing, AI can help design better products in terms of functionality, quality, and cost, and improve predictive maintenance. The potential impact of AI on transportation and logistics goes far beyond automation and road safety to span the entire logistics chain. Yet with the exceptions of China and India, emerging markets have received only a modest share of global investment in this advanced technology, despite the fact that they may benefit more from AI implementation than advanced economies.

English | 8 Pages - September - Note 71 | IFC 2019

Aug 2, 2019

How Insurtech Can Close the Protection Gap in Emerging Markets

Insurance technology, better known as Insurtech, is a rapidly growing industry that is beginning to disrupt traditional insurance provision in advanced and emerging economies alike, and is creating opportunities and challenges for incumbents, start-ups, and investors. The opportunity offered by insurtech is particularly significant in emerging markets, where a large “protection gap” exists due to low insurance penetration. This has major development implications due to the fact that economic growth and insurance penetration are closely intertwined. Technology and new business models are necessary to close the protection gap in these markets, and companies will need to be able to innovate—either internally, by partnerships, or by investing—to seize the opportunity.

English | 8 Pages - August - Note 70 | IFC 2019

Jul 31, 2019

The Role of Artificial Intelligence (AI) in Supporting Development in Emerging Markets

Artificial Intelligence (AI) has enormous potential to augment human intelligence and radically alter how we access products and services, gather information, make products, and interact. In emerging markets, AI offers an opportunity to lower costs and barriers to entry for businesses and deliver innovative business models that can leapfrog traditional solutions and reach the underserved. Harnessing the power of AI is becoming increasingly important to economic development in many nations, and the goals of ending poverty and boosting shared prosperity may become dependent on it. Private sector solutions can play a major role here; to scale new business models, develop new ways to deliver services, and increase local markets’ competitiveness.

English | 8 Pages - July- Note 69 | IFC 2019