Operating at the Intersection of Technology and the Capital Markets
Tag: Bloomberg
Back in March 2019 we wrote about the future use of NLP-powered applications across various industries - in particular Financial Services (our 2019 TEK2day article HERE). Microsoft (MSFT) is bringing natural language capability to its Productivity suite - Microsoft 365. This natural language offering has a name: "Copilot". We include an example of Copilot deployed … Continue reading NLP & Productivity Apps: Microsoft Copilot
I don't have first hand knowledge of how J.P. Morgan's PMs, Analysts, Traders and Investment Bankers may be using ChatGPT. However, there are a couple of inherent challenges as I see it: 1.) ChatGPT's knowledge repository is limited to the data sets it has access to. For example, if a Fixed Income PM runs a … Continue reading J.P. Morgan Limits Internal Use of ChatGPT
Technology companies such as Stripe, FactSet and thousands of others make certain of their offerings available via APIs. Stripe was founded as an "API" company, simplifying the back-end infrastructure of the payments industry. If your company is new to making various data elements and tools available to customers and partners via APIs, understanding the Market … Continue reading When New To APIs, Which Data Services To Expose First?
We list a handful of industries that may accelerate their mobile workforce and remote capability efforts in the COVID aftermath. ASSET MANAGEMENT: We believe the big opportunity here is for virtual meetings whether they be one-on-one meetings between investors and management teams or full analyst days. Basic video communication and live streaming services are offered … Continue reading Industries Best-Positioned To Go Mobile Post COVID
The SEC's proposal to improve stock-price data available to the public is a step to further democratize financial market data. This weakens the position held by incumbent market data providers such as Bloomberg, FactSet (FDS), Intercontinental Exchange (ICE), S&P Global (SPGI), The London Stock Exchange/Refinitiv (LSE) and others. The SEC's proposal could be a precursor … Continue reading Financial Market Data: Ripe For Disruption
With Michael Bloomberg throwing his hat into the ring for the 2020 Democratic nomination, many have speculated as to how Bloomberg would divest his equity stake in his namesake firm were he to win the Presidency. We don't expect Mr. Bloomberg to win the Office of the President nor would a sale necessarily be required … Continue reading Prospective Bloomberg LP Acquirers
Consistent pursuit of a focused mission tends to pay dividends over time. We provide several examples of public FinTech companies that have successfully done so. We include growth opportunities and near-term risks for each company. Companies mentioned: FactSet Research Systems (tkr: FDS); PayPal (tkr: PYPL); SS&C Technologies (tkr: SSNC); Stripe (private) FactSet Research Systems (tkr: … Continue reading For These FinTech Names Staying the Course Paid Off.Premium
We tip our hat to LSE for thinking outside the box, moving beyond a commodity business to acquire a somewhat unique data set (one of the big three with Bloomberg and Factset). Blackstone Group (BX.N) acquired a majority stake in Refinitiv from Thomson Reuters (TRI.TO) in October 2018, valuing the company at the time at … Continue reading LSE to Potentially Acquire Refinitiv (fmr. Thomson Reuters Data Business) for $27 Billion
Whether evaluating a company as an investment vehicle or as a potential vendor, the processes are similar. Three elements are at the heart of our due diligence process when we evaluate Technology companies as investment vehicles and when we evaluate them as vendors. 1.) Quality of the Management Team. We listed this attribute first as … Continue reading Vendor Due Diligence and Investment Due Diligence Processes Are Similar
From Chatbots to Ambient AI. Cloud-based AI and Machine Learning technology is readily available. Large technology platform companies such as Amazon (Alexa), Google and Microsoft (Azure), encourage third-party developers to build applications and services on top of their core AI and Machine Learning platforms. This enables developers to focus resources on building value through the … Continue reading How AI Will Conquer Financial Services
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