editions

JPMorgan’s partnership with TIFIN gives it a front row seat to artificial intelligence innovation. 

JPMorgan invested in TIFIN, a wealth management technology studio that plans to spin up firms focused on injecting artificial intelligence into areas like alternative investing, insurance, and advisor insights.  

JPMorgan’s partnership with TIFIN essentially allows it to have easier access to the nimbleness of AI startups, without dedicating substantial in-house resources to nascent ideas. It will co-develop technology with TIFIN and also participated in the company’s previous funding rounds..  

TIFIN has previously created five companies, including 55ip, an automated tax tech firm which JPMorgan Asset Management acquired in December 2020. In addition to JPMorgan, Franklin Templeton and Morningstar also strategically partner with TIFIN.  

Wealth management offers particularly fertile ground for potential AI disruption and by working with external partners, big FinServs can experiment more quickly and with less risk than through internal initiatives.  

In the wake of regulatory pressure, big banks are teaming up to design cybersecurity, resiliency, and compliance controls that will apply across major cloud providers.  

Efforts are underway to create more consistency in the cloud.  

The Fintech Open Source Foundation (FINOS) just announced a new project to create standards for cloud companies that want to work with big FinServs. The aim is to make it easier for firms to work across multiple cloud providers: Collaboration leads to consistency and helps ensure compliance.  

Citi initiated the project, and more than 20 other FINOS members have joined the efforts, including Goldman Sachs, Morgan Stanley, RBC, and BMO, and Google Cloud, GitHub, and Red Hat.  

The efforts follow recent reports from the U.S. Department of the Treasury, the UK HMT, the European Council, and the Monetary Authority of Singapore, which raised flags about the systemic risk of cloud computing in the banking industry. 

The project has the potential to be “one of the most valuable and transformational initiatives in our open source community and across the industry,” according to FINOS exec Gabriele Columbro. 

By partnering with fintechs like Insight Partners’ portfolio company Banked, BofA is harnessing creativity and innovation. 

Bank of America’s head of technology and operations evangelizes the benefits of working with fintechs.  

Exec Andrew McKibben describes these relationships as a “never-ending evolution loop,” where both sides succeed by adapting to changing consumer standards together. “As more people require more sophisticated services and the overall scale of it continues, there’s more collaboration needed between tech firms and banks,” he told Fintech Futures.  

For example, he heralded BofA’s partnership with Banked, which lets customers pay for goods directly from their bank accounts, as an enabler for an in-demand new feature.  

Letting consumers pay-by-bank reduces risk and costs for merchants and “makes online checkouts simpler, faster, and more secure,” according to McKibben.  

“Co-operation, not competition, is definitely the common approach nowadays,” he added.

Stakes are incredibly high for financial services firms undergoing digital transformations, and yet they often flounder. To boost results, tech execs need to create a culture of empowerment through incentives and clear messaging. 

Nearly all banks are using technology to rethink their processes, features, and operations, but the road to reinvention is bumpy: A stunning 70% of leaders report witnessing a banking transformation that has underperformed in the last five years, according to a Tearsheet report. 

One of the key reasons for those lackluster results may be a culture of fear versus trust, and stagnation versus reorientation. 

After all, only 43% of execs clearly communicate to employees that unsuccessful experimentation will not adversely impact their career or compensation, according to Tearsheet. In other words, banks need to learn to fail faster.  

Teams from across the bank need to work together and be aligned on positive incentives, not negative ones. Beyond the nuts-and-bolts of new technology, that requires a mindset of experimentation, teamwork, and trust. As former Credit Suisse CIO Radhika Venkatraman previously put it to Insights Distilled: “If you want to disrupt yourself digitally, you must reimagine your data, operations, talent, and culture.” 

59% of leaders reported an increase in their data and AI budgets in the past year, and, unsurprisingly, generative AI has become a key topi in every boardroom. 

The highest AI-related priority for respondents was investing in machine learning operations (MLOps) and modern data stack tools. Consolidating, aggregating, and organizing data – and ensuring strong governance – is crucial for unlocking AI use cases.  

“We are in the midst of a Cambrian explosion with AI,” according to Insight Partners’ managing director Nikhil Sachdev. GenAI, in particular, has become a hot topic in board rooms, he added.  

“Companies are eager to understand both the tremendous opportunities to improve products and drive efficiencies,” he said, “And the existential threats and security concerns.” 

Macroeconomic and geopolitical challenges have forced enterprises to review their budgets. A strong cyber position is crucial, so firms are focused on ensuring that they have sufficient coverage, while minimizing net-new tooling. 

We’re in the age of the cybersecurity platform.  

Robust providers that allow enterprises to cover their bases instead of buying multiple point-solutions, and that use automation to reduce risk and drive efficiency, are gaining traction. Security leaders are considering how they can consolidate.  

Meanwhile, Zero Trust Network Access tools topped the CISO priority list, the State of Enterprise Tech report found.  

“The transition to cloud and digitalization continues to be a core focus for enterprises, and is driving the attempts to ringfence cybersecurity budgets,” according to Insight managing director Steve Ward. “As the enterprise landscape changes, businesses can’t justify spending less on cybersecurity and leaving themselves in a potentially vulnerable position.” 

Engineers at API-first companies are happier and more productive – and generative AI will speed up the development process even more. 

API-first development is the future, according to the State of Enterprise Tech survey.  

Enterprises are relying on APIs to connect internal tools, and they’re starting to replace traditional information sharing methods like file transfers, database sharing, and email. 

“All services and AI models are becoming accessible through APIs, marking a transition towards an API-first economy,” according to the report. “And with generative AI’s ability to auto-generate APIs or software development kits, the adoption and value creation of generative AI – and the democratization of technology – can be unlocked at a much faster pace.” 

Meanwhile, a survey from Insight Partners’ portfolio company Postman found that developers at API-first companies are happier, ship code faster, eliminate threats sooner, and build better software.  

For many more data points and insights from your peers, download the full report here.