How open API standards will transform financial services

Open standards will have a huge impact on driving innovation in banking. Learn the status in the U.S. – and the bold new opportunities open standards are set to usher in.

AI governance, or the process of defining policies to guide AI development, is a fast-growing market opportunity. A report from StrategyR highlights this, predicting that AI governance software and services could be worth $402 million by 2026, up from $49.3 million in 2020.

“Amid the COVID-19 crisis, the global market for AI governance [has grown significantly],” StrategyR wrote in a press release. “The report presents fresh perspectives on opportunities and challenges in a significantly transformed post-COVID-19 marketplace.”

AI governance adoption

The pandemic forced companies to rethink models used to manage AI risk, but many face continued challenges. According to a Deloitte analysis, as of March, 38% of organizations either lacked or had an insufficient governance structure for handling data and AI models. And a survey by Pegasystems predicts that if the current trend holds, a lack of accountability within the private sector will lead to governments taking over responsibility for AI regulation over the next five years.

Last year, the University of California, Berkeley Center for Long-Term Cybersecurity published a report positing that AI governance has gone through three stages since 2016. The first stage was marked by the release of ethics principles by tech companies and governments, followed by consensus around themes like privacy, human control, explainability, and fairness. The third stage, which began in 2019, is converting principles into practice.

Responsible AI practices including governance can bring major business value to bear. A study by Capgemini found customers and employees will reward organizations that practice ethical AI with greater loyalty, more business, and even a willingness to advocate for them.

This being the case, not all organizations have gotten onboard. In a recent KPMG report, 94% of IT decision makers said that they feel that firms need to focus more on corporate responsibility and ethics when developing their AI solutions. Analysts like StrategyR are betting that emerging laws such as the European Union’s algorithm framework and “AI registries” in Amsterdam, Helsinki, and other cities will spur companies into action, accelerating the demand for AI governance solutions that ease the adoption of best governance practices.

“In jurisdictions worldwide, new policy initiatives and regulations concerning the governance of data and AI signal the end of self-regulation and the rise of new oversight,” researchers at KPMG wrote in the aforementioned report. “As the regulatory environment continues to evolve at traditional pace, leading organizations are addressing AI ethics and governance proactively rather than waiting for requirements to be enforced upon them.”

How open API standards will transform financial services

Open standards will have a huge impact on driving innovation in banking. Learn the status in the U.S. – and the bold new opportunities open standards are set to usher in.

Presented by GaN Systems

We are poised at the beginning of what may well be the most significant revolution in electric power since it was first used to light a few blocks of New York City 150 years ago. Global electricity demand has grown by nearly one-third over the past decade, and it is expected to grow another 50% by 2050. At that same time, renewable energy will account for more than a third of global power generation.  That’s a positive step from today’s single-digit levels.

Yet, if things don’t change in terms of production and efficiency, most electric power generation will continue to come from the same legacy sources that contribute to unsustainable pollution levels.

The usual suspects of population growth and increased living standards are responsible for part of the increase in power demand.  This is particularly true in developing countries — where current conditions, unfortunately, mean that new demand will be met mainly with oil, coal, and gas as the predominant sources of electric power generation. At the same time, two other significant contributors to power demand have increased dramatically over the past few years: the unprecedented electrification of our world and the volume of data generated from consumer devices and businesses, which places pressure to construct large, and energy-hungry, data centers.

These changes are coming into a world in which our legacy power grid has become less reliable. Growing incidences of extreme weather and wildfires cause widespread outages of days or weeks. Experiences that might have been defined as infrequent inconveniences have now evolved into real and persistent threats to personal safety and financial livelihoods.

Recent cybersecurity attacks have demonstrated that essential infrastructure and supply chains — including the energy grid — are prime targets of organized criminal hackers.  This issue has grown to such a level of strategic concern that the Biden administration has created plans and programs that incentivize improved cybersecurity in power utility companies.

These events — both natural and manufactured — have made it painfully clear that along with food, water, and shelter, power has become one of the most essential and challenged components of modern life.

How will we meet our growing need for energy while simultaneously protecting our environment, building power grid resilience, and ensuring everyone has equal access?

What does this mean for three of the most important industries of our emerging energy-reliant world — data centers, automobiles, and renewable energy?

Data and energy: The economic kingmakers of business and the necessary enablers of everyday tasks

Data centers are notoriously energy-hungry. So, given the strong bond between data and energy, it is surprising that in the design of today’s large data centers, significant amounts of power are wasted as it travels from the electric grid to the hundreds of thousands of servers stacked in racks.

This is why the major technology giants are focused on energy efficiency initiatives and achieving net zero carbon emissions by 2030. Elon Musk even recently raised the flag over energy concerns and bitcoin mining. And we also need to be aware that the rollout of 5G will create networks that consume at least twice the amount of energy as today’s networks.

The electrification of mainstream transportation and the end of driving range anxiety

Even in the pandemic-dominated world of 2020, global EV sales continued to rise — with more than 500 million expected to be on the road in two decades.  That’s good news for those wanting to tackle the concern of transportation pollution. But what’s driving this growth, and what will it mean for electricity production?

Major global auto brands have stated aggressive commitments to EV sales, including VW’s forecast of 70% EV sales in Europe by 2030 and GM’s goal of 100% EV sales by 2035.  U.S. President Biden’s recent $2 trillion infrastructure proposal includes a proposed $174 billion earmarked for the EV industry. And consumers’ decreasing concerns about driving range anxiety are being matched by an increasing interest in environmental impact.

With so many more EVs on the roads, there will be a historic increase in electricity demand.  This will need to be met responsibly with both renewable energy and increased vehicle energy efficiency.

The on-demand 24/7 renewable energy world

For the first time — technology, business economics, government policies, and consumer attitudes — are working together to exert pressure to transform renewable energy from a secondary to a 24/7 on-demand power source. Technologies that enable the creation of more efficient and energy-dense renewable energy production and storage systems (ESS) are the key to this accelerated move to on-demand renewable power. Even beyond dedicated storage systems, electric vehicles may also become common emergency power sources, as in the upcoming electric Ford F-150 pickup.

Increased energy efficiency: The answer lies in moving from legacy silicon to GaN technology

Technology that provides increased energy efficiency is critical to ensuring that the world has access to the energy it needs while mitigating environmental harm and addressing power inequity.

Energy wasted in power conversion has been a persistent problem that silicon has been unable to address. Using GaN semiconductors instead of silicon to create power systems in data centers, electric vehicles, and the renewable energy industry can reduce this loss by 50%.

Here are some examples of how GaN technology can increase power efficiency:

1. An onboard charger for an EV can be 50% more energy-efficient, and the traction inverter that is part of the electric drive train can be 70% more energy efficient. This can increase a vehicle’s range by 6% — a crucial number in an industry with a laser focus on squeezing more out every mile.
2. Data centers can simultaneously increase server density by up to 56%, achieve 2% higher energy efficiency, and reduce CO2 emissions.
3. Renewable energy storage systems can be 50% more energy-efficient in designs that are more compact and lower cost, thereby raising their appeal to both residential and business markets seeking energy resilience.

The power revolution must be embraced now

In an increasingly data-driven and electrified world, we need to view power as the fuel that enables not only continued technological advancement for businesses — but also the essential running of our daily personal lives. The fate of our future — a world that can be defined by new levels of resilience, inclusion, and environmental health — is strongly linked to the supply of energy and meeting increased global demand with new levels of technology-enabled energy efficiency.  Power should not be taken for granted and simply viewed as an endless resource with unmitigated social, economic, and environmental impacts.  The consequences are too profound and far-reaching for that any longer.

Jim Witham is CEO of GaN Systems.

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