Finance
AI-powered decision intelligence is reshaping finance – SiliconANGLE
Artificial intelligence is reshaping financial services, driving automation, smarter decision-making and greater efficiency. As financial institutions seek greater transparency and reasoning in their AI applications, AI-powered decision intelligence is emerging as a critical capability.
According to theCUBE Research’s latest analysis, discussed in “The Next Frontiers of AI” podcast, emerging AI frameworks — most notably, retrieval-augmented generation models, causal knowledge graphs and AI reasoning — are reshaping how financial institutions navigate an increasingly complex, dynamic landscape.
The financial sector has long embraced cutting-edge technologies, leveraging AI to optimize risk management, automate processes and improve customer interactions, according to theCUBE Research’s Scott Hebner. However, as businesses look beyond traditional predictive models, they seek more advanced AI capabilities that provide greater transparency, reasoning and AI-powered decision intelligence.
Hebner, the podcast’s host, was joined by Jayeeta Putatunda, lead data scientist, director – AI center of excellence, at Fitch Group Inc., located on Wall Street. “Financial services have always led from the front in predictive analytics and deterministic models, but we must be cautious in our approach to gen AI,” she said. “Given the industry’s regulatory nature and the high stakes involved, we are adopting AI carefully, ensuring governance and risk control at every stage.”
How AI-powered decision intelligence is transforming finance
AI in financial services is rapidly evolving beyond basic automation and predictive analytics, according to Putatunda. Financial institutions increasingly focus on AI-powered decision intelligence to shape strategy and drive results.
“We need to solve use cases that actually drive the most value to our clients, users and even our internal teams,” Putatunda said. “If we can help with operational efficiency, reduce manual workload or enhance deep research, we will win in a significant way.”
Ensuring transparency and explainability is a key challenge in implementing AI in finance, according to Putatunda. Traditional AI models often function as “black boxes,” making it difficult for financial leaders to trace how decisions are made. As a result, many institutions are turning to AI-powered decision intelligence to improve visibility into the decision-making process.
“One of the biggest areas of concern is explainability,” Putatunda said. “In predictive models, we had processes to trace back decisions, conduct weight analysis and determine which inputs had the most impact. With AI, it becomes harder to establish that level of transparency.”
Building trust and governance in AI-driven finance
Trust remains critical in AI adoption within financial services, especially given the industry’s stringent regulatory requirements. The integration of knowledge graphs and causal AI can help enhance transparency, explainability and governance, according to Putatunda.
“Causal knowledge graphs create a dynamically adaptable data lineage that allows LLMs to ground their outputs in factual, explainable relationships,” she said. “This improves AI transparency and enhances compliance and governance frameworks.”
Additionally, AI models need to ensure they are free from biases and provide consistent, reproducible outputs. Unlike other industries, financial institutions require AI models that adhere to strict auditability and regulatory compliance measures, according to Putatunda.
“Financial firms need models that are not only accurate, but also auditable and traceable,” she said. “We must build a safe, sustainable AI pipeline that integrates human oversight at every stage.”
Looking ahead: The future of AI in financial services
The next wave of AI adoption in finance will focus on creating integrated AI ecosystems that combine multiple intelligent agents. These agents will collaborate on complex problem-solving, according to Putatunda.
“We need to move beyond single-task solutions and create goal-based AI agents that can dynamically retrieve and analyze information from multiple sources,” she said.
As RAG, causal AI and decision intelligence evolve, financial institutions can innovate while ensuring compliance and risk control. As AI technologies develop, they will redefine how financial services operate and set the stage for broader applications across industries.
For a deeper dive into this discussion, part of “The Next Frontiers of AI” podcast series, check out the full conversation:
Photo: SiliconANGLE
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Finance
Stress in private credit could spark ‘psychological contagion,’ Fed’s Barr tells Bloomberg News
May 3 (Reuters) – U.S. Federal Reserve Governor Michael Barr said stress in private credit could spark “psychological contagion” leading to a broader credit crunch, Bloomberg News reported on Sunday.
While direct links between banks and private credit do not yet appear “super worrisome,” there were other areas of concern such as the insurance sector’s overlaps with private lenders, Barr said in an interview with Bloomberg News.
“People might look at private credit, and instead of saying, ‘This is an idiosyncratic problem, these were high-risk loans, the rest of the corporate sector is different,’ they might say, ‘Wow, there seem to be cracks in our corporate sector. Maybe over here in the corporate bond market, there are also cracks,’” Barr said.
Barr also added that “then you could have a credit pullback, and that could lead to more financial strain.”
Private credit firms have been under stress because of the market’s recent downturn with some investors retreating from these investments due to worries about valuations and lending standards following a handful of high-profile bankruptcies.
Fed Chair Jerome Powell said in March central bank officials are watching developments in the private credit sector for signs of trouble, but do not currently see issues there bringing down the financial system as a whole.
(Reporting by Angela Christy in Bengaluru; Editing by Will Dunham)
Finance
Close call tipped as Reserve Bank mulls third rate hike
A repeat of the Reserve Bank board’s split decision to raise interest rates in March could be on the cards as the central bank frets over the dual threats of high inflation and a stalling economy.
Financial markets and most economists are tipping a third straight rate hike on Tuesday.
ANZ Bank head of Australian economics Adam Boyton is part of the chorus predicting the Reserve Bank will lift the official cash rate to 4.35 per cent – the same level as its post-COVID-19 pandemic peak.
But he thinks it won’t be a lay down misere, with several members likely to vote in favour of keeping rates on hold.
The combination of a tight labour market, above-target underlying inflation and concerns inflation expectations could become unanchored all point in favour of a hike.
At the same time, the US-Israeli war with Iran’s effects on the economy could convince some board members more time is needed to weigh the impact on economic growth.
In March, four of the board’s nine members voted unsuccessfully to keep rates on hold, arguing there was too much uncertainty around the domestic growth outlook and how the conflict in the Middle East would evolve.
Uncertainty around the path forward would be reflected in the bank’s post-meeting communications, Mr Boyton said, with no forward guidance expected.
“We expect, however, a tilt in the language in the post-meeting statement that will open the door to an extended pause,” he said.
Financial markets put the chance of a hike on Tuesday at about three-quarters and have fully priced in at least one more rate rise by November.
Westpac forecasts another two hikes after May, in June and August.
But economists at ANZ, NAB, Commonwealth Bank, Deutsche Bank and HSBC think the Reserve Bank will stand pat after Tuesday.
“Whether the RBA delivers further tightening beyond May will depend on how quickly the economy weakens,” HSBC’s local chief economist Paul Bloxham said.
“We see a recent sharp weakening in sentiment as a clear signal that a downturn is already under way.
“Our central case is that, beyond the May hike, the RBA remains on hold.”
Updated economic forecasts by Reserve Bank staff, released simultaneously to the monetary policy decision, will be closely scrutinised for hints about the path forward for rates.
Earlier on Tuesday, the Australian Bureau of Statistics will release household spending figures for March.
Economists predict a rise of 1.5 per cent, driven by higher fuel spending.
Building approvals figures for March will be published on Monday.
Finance
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