Last month, we experienced yet another breakthrough in the epic battle of man against machine. Google’s AlphaGo won against the reigning Go champion Lee Sedol. This success, however, was different than that of IBM’s Deep Blue against Gary Kasparov in 1987. While Deep Blue still applied “brute force” to calculate all possible options ahead, AlphaGo was learning as the game progressed. And through this computing breakthrough that we can learn how to better leverage the data revolution.

In the game of Go, brute-force strategies don’t help because the total number of possible combinations exceeds the number of atoms in the universe. Some games, including some we played since childhood, were immune to computing “firepower” for a long time. For example, Connect Four wasn’t solved until 1995 with the conclusion being the first player can force a win. And checkers wasn’t until 2007, when Jonathan Schaeffer determined that in a perfect game, both sides could force a draw. For chess, a safe strategy has yet to be developed, meaning that we don’t know yet if white could force a win or, like in checkers, black could manage to hold on to a draw.

But most real-life situations are more complicated than chess, precisely because the universe of options is unlimited and solving them requires learning. If computers are to help, beyond their use as glorified calculators, they need to be able to learn. This is the starting point of the artificial intelligence movement.  In a world where perfection is impossible, you need well-informed intuition in order to advance. The first breakthrough in this space occurred when IBM’s Watson beat America’s Jeopardy! champions in 2011. These new intelligent machines operate in probabilities, not in certainty.

That being said, perfection remains important, especially when it comes to matters of life and death such as flying airplanes, constructing houses, or conducting heart surgery, as these areas require as much attention to detail as possible. At the same time, in many realms of life and policymaking we fall into a perfection trap. We often generate obsolete knowledge by attempting to explain things perfectly, when effective problem solving would have been better served by real-time estimates. We strive for exactitude when rough results, more often than not, are good enough.

By contrast, some of today’s breakthroughs are based on approximation. Think of Google Translate and Google’s search engine itself. The results are typically quite bad, but compared to the alternative of not having them at all, or spending hours leafing through an encyclopedia, they are wonderful. Moreover, once these imperfect breakthroughs are available, one can improve them iteratively. Only once the first IBM and Apple PCs were put on the market in the 1980s did the cycle of upgrading start, which still continues today.

In the realm of social and economic data, we have yet to reach this stage of “managed imperfection” and continuous upgrading. We are producing social and economic forecasts with solid 20th century methods. With extreme care we conduct poverty assessments and maps, usually taking at least a year to produce as they involve hundreds of enumerators, lengthy interviews and laborious data entry. Through these methods we are able to perfectly explain past events, but we fail to estimate current trends—even imperfectly.

The paradox of today’s big data era is that most of that data is poor and messy, even though the possibilities for improving it are unlimited. Almost every report from development institutions starts with a disclaimer highlighting “severe data limitations.” This is because only 0.5 percent of all the available data is actually being curated to be made usable. If data is the oil of the 21st century, we need data refineries to convert the raw product into something that can be consumed by the average person.

Thanks to the prevalence of mobile device and rapid advances in satellite technology, it is possible to produce more data faster, better, and cheaper. High-frequency data also makes it possible to make big data personal, which also increases the likelihood that people act on it. Ultimately, the breakthroughs in big data for development will be driven by managerial cultures, as has been the case with other successful ventures. Risk averse cultures pay great attention to perfection. They nurture the fear of mistakes and losing. Modern management accepts failure, encourages trial and error, and reaches progress through interaction and continuous upgrading.

Event Information

Since the Rose Revolution in November 2003, Georgia has grappled with the many challenges of building a modern, Western-oriented state, including implementing political and economic reforms, fighting corruption, and throwing off the vestiges of the Soviet legacy. On the path toward a functioning and reliable democracy, Georgia has pursued these domestic changes in an often difficult international environment, as evidenced by the Russia-Georgia conflict in 2008.

On March 17, the Center on the United States and Europe at Brookings (CUSE) hosted President Mikheil Saakashvili to discuss Georgia’s approach to these challenges. A leader of Georgia’s 2003 Rose Revolution, Saakashvili was elected president of Georgia in January 2004 and reelected for a second term in January 2008.

Vice President Martin Indyk, director of Foreign Policy at Brookings, provided introductory remarks and Senior Fellow and CUSE Director Fiona Hill moderated the discussion. After the program, President Saakashvili took audience questions.

Video

• Georgia Is a Transformed Country
• Georgia Is a Valuable Asset to Europe
• The Key to Effective Change Is Youth

Audio

• From Popular Revolutions to Effective Reforms: The Georgian Experience

Transcript

• Uncorrected Transcript (.pdf)

Event Materials

• 20110317_saakashvili_transcript

Announcements of new federal regulations on the use of program-related investments (PRIs) and the launch of a groundbreaking fund in Chicago are the latest signals that impact investing, once a marginal philanthropic and policy tool, is moving into the mainstream. They are also illustrative of two important and complementary paths to institutional change: fast-moving, collaborative local leadership creating innovative new instruments to meet funding demands; federal regulators updating policy to pave the way for change at scale.

Impact investing, referring to “investment strategies that generate financial returns while intentionally improving social and environmental conditions,” provides an important tier of higher-risk capital to fund socially beneficial projects with revenue-generating potential: affordable housing, early childhood and workforce development programs, and social enterprises. It is estimated that there are over $60 billion of impact investments globally and interest is growing—an annual JP Morgan study of impact investors from 2015 reports that the number of impact investing deals increased 13 percent between 2013 and 2014 following a 20 percent increase in the previous year.

Traditionally, foundations have split their impact investments into two pots, one for mission-related investments, designed to generate market-rate returns and maintain and grow the value of the endowment, and the other for program-related investments. PRIs can include loans, guarantees, or equity investments that advance a charitable purpose without expectation of market returns. PRIs are an attractive use of a foundation’s endowment as they allow foundations to recycle their limited grant funds and they count towards a foundation’s charitable distribution requirement of 5 percent of assets. However they have been underutilized to date due to perceived hurdles around their use–in fact among the thousands of foundations in the United States, currently only a few hundred make PRIs.

But this is changing, spurred on by both entrepreneurial local action and federal leadership. On April 21, the White House announced that the U.S. Department of the Treasury and Internal Revenue Service had finalized regulations that are expected to make it easier for private foundations to put their assets to work in innovative ways. While there is still room for improvement, by clarifying rules and signaling mainstream acceptance of impact investing practices these changes should lower the barriers to entry for some institutional investors.

This federal leadership is welcome, but is not by itself enough to meet the growing demand for capital investment in the civic sector. Local innovation, spurred by new philanthropic collaborations, can be transformative. On April 25 in Chicago, the Chicago Community Trust, the Calvert Foundation, and the John D. and Catherine T. MacArthur Foundation launched Benefit Chicago, a $100 million impact investment fund that aims to catalyze a new market by making it easier for individuals and institutions to put their dollars to work locally and help meet the estimated $100-400 million capital needs of the civic sector over the next five years.

A Next Street report found that the potential supply of patient capital from foundations and investors in the Chicago region was more than enough to meet the demand – if there were ways to more easily connect the two. Benefit Chicago addresses this market gap by making it possible for individuals to invest directly through a brokerage or a donor-advised fund and for the many foundations without dedicated impact investing programs to put their endowments to work at scale. All of the transactional details of deal flow, underwriting, and evaluation of results are handled by the intermediary, which should lead to greater efficiency and a significant increase in the size of the impact investing market in Chicago.

In the last few years, a new form of impact investing has made measurement of social return to investments even more concrete. Social impact bonds (SIBs), also known as pay for success (PFS) financing, are a way for private investors (including foundations) to provide capital to support social services with the promise of a return on their investment from a government agency if some agreed-upon social outcomes are achieved. These PFS transactions range from funding to support high-quality early childhood education programs in Chicago to reduction in chronic individual homelessness in the state of Massachusetts. Both the IRS and the Chicago announcements are bound to contribute to the growth of the impact bond market which to date represents a small segment of the impact investing market.

These examples illustrate a rare and wonderful convergence of leadership at the federal and local levels around an idea that makes sense. Beyond simply broadening the number of ways that foundations can deploy funds, growing the pool of impact investments can have a powerful market-making effect. Impact investments unlock other tiers of capital, reducing risk for private investors and making possible new types of deals with longer time horizons and lower expected market return.

In the near future, these federal and local moves together might radically change the philanthropic landscape. If every major city had a fund like Benefit Chicago, and all local investors had a simple on-ramp to impact investing, the pool of capital to help local organizations meet local needs could grow exponentially. This in turn could considerably improve funding for programs—like access to quality social services and affordable housing—that show impact over the long term.

Impact investing can be a bright spot in an otherwise somber fiscal environment if localities keep innovating and higher levels of government evolve to support, incentivize, and smooth its growth. These announcements from Washington and Chicago are examples of the multilevel leadership and creative institutional change we need to ensure that we tap every source of philanthropic capital, to feel some abundance in an era where scarcity is the dominant narrative.

Editor's Note: Alaina Harkness is a fellow at Brookings while on leave from the John D. and Catherine T. MacArthur Foundation, which is a donor to the Brookings Institution. The findings, interpretations and conclusions posted in this piece are solely those of the authors and not determined by any donation.

Executive Summary ¹

The regional banks play an important role in the economy providing funding to consumers and small- and medium-sized businesses. Their model is simpler than that of the large Wall Street banks, with their business concentrated in the U.S.; they are less involved in trading and investment banking, and they are more reliant on deposits for their funding. We examined the balance sheets of 15 regional banks that had assets between $50 billion and $250 billion in 2003 and that remained in operation through 2014.

The regionals have undergone important changes in their financial structure as a result of the financial crisis and the subsequent regulatory changes:

• Total assets held by the regionals grew strongly since 2010. Their share of total bank assets has risen since 2010.

• Loans and leases make up by far the largest component of their assets. Since the crisis, however, they have substantially increased their holdings of securities and interest bearing balances, including government securities and reserves.

• The liabilities of the regionals were heavily concentrated in domestic deposits, a pattern that has intensified since the crisis. Deposits were 70 percent of liabilities in 2003, a number that fell through 2007 as they diversified their funding sources, but by 2014 deposits made up 82 percent of the total.

• Regulators are requiring large banks to increase their holdings of long term subordinated debt as a cushion against stress or failure. The regionals, as of 2014, had not increased their share of such liabilities.

• Like the largest banks, the regionals increased their loans and leases in line with their deposits prior to the crisis. And like the largest banks, this relation broke down after 2007, with loans growing much more slowly than deposits. Unlike the largest banks, the regionals have increased loans strongly since 2010, but there remains a significant gap between deposits and loans.

• The regional banks’ share of their net income from traditional sources (mostly loans) has been slowly declining over the period.

• The return on assets of the regionals was between 1.5 and 2.0 percent prior to the crisis. This turned sharply negative in the crisis before recovering after 2009. Between 2012 and 2014 return on assets for these banks was around 1.0 percent, well below the pre-crisis level.

As we saw with the largest banks, the structure and returns of the regional banks has changed as a result of the crisis and new regulation. Perhaps the most troubling change is that the volume of loans lags well behind the volume of deposits, a potential problem for economic growth. The asset and liability structure of the banks has also changed, but these banks have a simpler business model where deposits and loans still predominate.

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