GenAI
Market data costs defy cyclicality
Trading firms continue to grapple with escalating market data costs. Can innovative solutions and strategic approaches bring relief?
Bloomberg expands GenAI summary options on Terminal
The additions include an expansion of its AI-powered news summaries, as well as a new AI summary tool for company-related news content.
AI enthusiasts are running before they can walk
The IMD Wrap: As firms race to implement generative and agentic AI, having solid data foundations is crucial, but Wei-Shen wonders how many have put those foundations in.
Buy-side data heads push being on ‘right side’ of GenAI
Data heads at Man Group and Systematica Investments explain how GenAI has transformed the quant research process.
EY and Microsoft partner to bring agentic AI to risk management
The two firms are part of a deal to bring agentic AI processes to core operations like lending, servicing and risk, starting at Eurobank.
Tokenization & Private Markets: Where mixed data finds a needed partner?
Waters Wrap: Reading the tea leaves, Anthony predicts BlackRock’s Preqin deal, Securitize’s IPO, and numerous public comments from industry leaders are just the tip of the iceberg.
SS&C’s Bill Stone: RPA still important for agentic endeavors
The fintech is leaning on almost four decades in financial services and its many acquisitions to power AI deployment and meet the market’s needs.
Bloomberg integrates AI summaries into Port
One buy-side user says that while it’s still early for agentic tools, they’re excited by what they’ve seen so far.
Examining how adaptive intelligence can create resilient trading ecosystems
Researchers from IBM and Wipro explore how multi-agent LLMs and multi-modal trading agents can be used to build trading ecosystems that perform better under stress.
Can AI be the solution to ESG backlash?
AI is streamlining the complexities of ESG data management, but there are still ongoing challenges.
Banks weigh how to embed GRC in AI
Having governance, risk, and compliance at the core of AI product development will offer explainability and auditability, bank execs said.
Bank of America’s GenAI plan wants to avoid ‘sins of the past’
Waters Wrap: Anthony spoke with BofA’s head of platform and head of technology to discuss how the bank is exploring new forms of AI while reducing tech debt and growing interoperability.
Waters Wavelength Ep. 334: BofA’s Krishnan and McInnes
This week, Bank of America’s Ashok Krishnan and Duncan McInnes join Tony to discuss the build, buy, borrow strategy and instilling the right culture within the bank.
New GPU indexes to provide transparency into AI compute
Silicon Data, a company backed by DRW and Jump Trading, has launched its H100 and A100 indexes, providing transparency into the economics of AI compute.
Compliance startup bolsters advisory board, finalizes Series A funding
Umony has added former compliance officers from JP Morgan, as well as the FCA and the SEC.
Man Group sees alpha-generating strategies from agentic AI
The firm is seeing actionable use cases from AI agents, said CTO Gary Collier, speaking at a conference in London hosted by Bloomberg.
Chief investment officers persist with GenAI tools despite ‘blind spots’
Trading heads from JP Morgan, UBS, and M&G Investments explained why their firms were bullish on GenAI, even as “replicability and reproducibility” challenges persist.
Wall Street hesitates on synthetic data as AI push gathers steam
Deutsche Bank and JP Morgan have differing opinions on the use of synthetic data to train LLMs.
A Q&A with H2O’s tech chief on reducing GenAI noise
Timothée Consigny says the key to GenAI experimentation rests in leveraging the expertise of portfolio managers “to curate smaller and more relevant datasets.”
AI fails for many reasons but succeeds for few
Firms hoping to achieve ROI on their AI efforts must focus on data, partnerships, and scale—but a fundamental roadblock remains.
SNB researchers test LLM-based FX trading strategy
Meta’s Llama 3.1 comes out on top at predicting G10 currency sentiment based on news articles.