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Banking Industry Embraces Emerging Technology

Banks are laying the foundation for the digitization of their businesses and anticipate emerging technologies -- from IoT to biometric authentications and blockchain -- to make a substantial imprint on the industry within five years, according to a recent survey of banking professionals commissioned by VMware.

Results of the survey made one thing very clear -- technology will drive banks' next transformation. The question for financial institutions is no longer whether to invest in technology, but how fast they can invest. And, banks are already laying the groundwork for their digital transformation.

When respondents were asked to describe their bank's core mission over a 3- and 5-year horizon, respondents described the bank's top business focus as "integrating digital and physical channels" and "becoming a digital leader," respectively.

Emerging Technologies Take Center Stage

■ More than 50 percent of banks with $100 billion or more in assets expect to have commercial implementations of the following major categories of emerging technology: mobile apps, APIs/open banking, artificial intelligence (AI), augmented reality, biometric authentications and blockchain -- in the next five years.

■ 78 percent of respondents say that AI voice-based banking has the potential to be transformative in retail banking; about a third say AI voice-based banking could be transformative in commercial banking.

■ 67 percent of respondents from banks with $100 billion of assets or more are currently implementing blockchain technology.

Implementation Challenges

■ Integration of new technologies into existing platforms and upgrading legacy systems are banks' top implementation challenges. In fact, 46 percent of respondents say legacy infrastructure has some impact on their institutions' ability to launch new products.

■ Of bankers who say legacy infrastructure has a high impact on their ability to launch new products about half of respondents say their institutions are currently engaged in data center modernization (52 percent) and cloud computing projects (48 percent) to address the problem.

Impact of Data Center Modernization and Cloud Computing Deployments

■ 81 percent of respondents from banks with $100 billion of assets or more and 68 percent of respondents from banks with $15 billion to $100 billion of assets are currently implementing cloud computing technologies.

■ Among banks currently considering, piloting, or implementing security upgrades, data center modernization programs, cloud computing deployments, and fintech innovations, at least 73 percent expect the initiatives to have a moderate to high impact over the next 12 months.

■ 82 percent expect the initiatives to have a moderate to high impact in five years.

Methodology: In June 2017, VMware commissioned a survey conducted by SourceMedia Research. The online survey yielded responses from 166 respondents, who were drawn from American Banker magazine's opt-in contacts, to understand their current and future outlook for business and technology, and emerging technologies in banking. The survey sample consists of banking professionals at manager levels and above at banks with at least $15 billion in assets.

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Banking Industry Embraces Emerging Technology

Banks are laying the foundation for the digitization of their businesses and anticipate emerging technologies -- from IoT to biometric authentications and blockchain -- to make a substantial imprint on the industry within five years, according to a recent survey of banking professionals commissioned by VMware.

Results of the survey made one thing very clear -- technology will drive banks' next transformation. The question for financial institutions is no longer whether to invest in technology, but how fast they can invest. And, banks are already laying the groundwork for their digital transformation.

When respondents were asked to describe their bank's core mission over a 3- and 5-year horizon, respondents described the bank's top business focus as "integrating digital and physical channels" and "becoming a digital leader," respectively.

Emerging Technologies Take Center Stage

■ More than 50 percent of banks with $100 billion or more in assets expect to have commercial implementations of the following major categories of emerging technology: mobile apps, APIs/open banking, artificial intelligence (AI), augmented reality, biometric authentications and blockchain -- in the next five years.

■ 78 percent of respondents say that AI voice-based banking has the potential to be transformative in retail banking; about a third say AI voice-based banking could be transformative in commercial banking.

■ 67 percent of respondents from banks with $100 billion of assets or more are currently implementing blockchain technology.

Implementation Challenges

■ Integration of new technologies into existing platforms and upgrading legacy systems are banks' top implementation challenges. In fact, 46 percent of respondents say legacy infrastructure has some impact on their institutions' ability to launch new products.

■ Of bankers who say legacy infrastructure has a high impact on their ability to launch new products about half of respondents say their institutions are currently engaged in data center modernization (52 percent) and cloud computing projects (48 percent) to address the problem.

Impact of Data Center Modernization and Cloud Computing Deployments

■ 81 percent of respondents from banks with $100 billion of assets or more and 68 percent of respondents from banks with $15 billion to $100 billion of assets are currently implementing cloud computing technologies.

■ Among banks currently considering, piloting, or implementing security upgrades, data center modernization programs, cloud computing deployments, and fintech innovations, at least 73 percent expect the initiatives to have a moderate to high impact over the next 12 months.

■ 82 percent expect the initiatives to have a moderate to high impact in five years.

Methodology: In June 2017, VMware commissioned a survey conducted by SourceMedia Research. The online survey yielded responses from 166 respondents, who were drawn from American Banker magazine's opt-in contacts, to understand their current and future outlook for business and technology, and emerging technologies in banking. The survey sample consists of banking professionals at manager levels and above at banks with at least $15 billion in assets.

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If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...