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Firms to Boost Alternative Data Budgets by 240%

November 20, 2018 by Eugene Grygo

Firms to Boost Alternative Data Budgets by 240%

A new survey finds that a sizable number of asset managers that are exploring alternative data sources and advanced analytics capabilities plan to increase their investment in this area by 240 percent over the next three years. This new journey for many firms involves the exploration of machine learning (ML), natural language processing (NLP), and… Read More >>

Filed Under: Securities Operations, Buy-Side, Data Management, Industry News, Middle-Office, Operational Risk, Ops Automation, Risk Management, Governance, FinTech Trends, Back-Office, Integration, Standards, Cybersecurity, Industry News Tagged With: analytics capabilities, data management, Element22, machine learning, natural language processing, smart robotic process automation, UBS Asset Management, Ulrich Koerner

GTS Wants to Democratize Market Access via Acquisition

November 6, 2018 by Eugene Grygo

GTS Wants to Democratize Market Access via Acquisition

High-frequency trading (HFT) firm GTS is acquiring for an undisclosed sum the exchange-traded funds (ETFs) and wholesale market-making businesses of Cantor Fitzgerald, a move that will bring institutional and retail clients the same access to the benefits of machine learning, artificial intelligence (AI) and execution technology, GTS officials say. GTS describes itself as “a quantitative… Read More >>

Filed Under: Securities Operations, Buy-Side, Data Management, Mergers & Acquisitions, Ops Automation, Risk Management, General Interest, Governance, FinTech Trends, Back-Office, Integration, Standards, Industry News, People Moves Tagged With: AI, Ari Rubenstein, artificial intelligence, Cantor Fitzgerald, Darren Taube, Eric Lichtenstein, ETFs, exchange traded funds, execution technology, GTS, HFT, High-frequency trading, Joe Pleffner, machine learning, Menash Cohen, Mike Strashnov, Reginald Browne

NICE Actimize Debuts ‘X-Sight’ for Financial Crime Detection

October 25, 2018 by Eugene Grygo

NICE Actimize Debuts ‘X-Sight’ for Financial Crime Detection

NICE Actimize, a financial crime management vendor, has launched X-Sight, a machine-learning, cloud-based “platform-as-a-service” that is intended to help Ops teams run better quality investigations of suspicious activity, officials say. X-Sight uses artificial intelligence capabilities for detection, decision-making and investigations management, vendor officials say. “NICE Actimize’s X-Sight opens doors that traditionally were more challenging due… Read More >>

Filed Under: Securities Operations, Data Management, Middle-Office, Operational Risk, Ops Automation, Outsourcing, Risk Management, General Interest, Governance, Diversity, Equity, and Inclusion (DEI), FinTech Trends, Back-Office, Integration, Standards, KYC, AML/Fraud/Financial Crime, Regulation & Compliance, Cybersecurity, Regulatory Reporting Tagged With: applied analytics, Barak Eilam, cloud-based, financial crime management, machine learning, NICE Actimize

TransparINT Acquired by Steele Compliance Solutions

June 27, 2018 by Eugene Grygo

TransparINT Acquired by Steele Compliance Solutions

Steele Compliance Solutions is taking a major step forward in applying artificial intelligence (AI) technologies to new compliance tools for financial services firms via its recently announced acquisition of TransparINT, which offers data filtering that exploits machine learning and natural language processing (NLP). Steele declined to reveal what it paid for TransparINT and assured FTF… Read More >>

Filed Under: Securities Operations, Data Management, Operational Risk, Ops Automation, Risk Management, Governance, FinTech Trends, Standards, AML/Fraud/Financial Crime, Regulation & Compliance, Cybersecurity, Regulatory Reporting Tagged With: acquisition, AI, artificial intelligence (AI), Eric Lochner, Keith Graham, machine learning, Steele Compliance Solutions, TransparINT

Thomson Reuters Debuts Media Screening to Fight Financial Crime

May 18, 2018 by Eugene Grygo

Thomson Reuters Debuts Media Screening to Fight Financial Crime

Thomson Reuters is applying artificial intelligence (AI)/machine learning technologies to media screening and processing to help financial services firms gather more relevant data for their due diligence efforts to prevent hiring financial criminals. The new capability, Media Check, is an enhancement to its World-Check One platform that is intended to help firms find stories and… Read More >>

Filed Under: Securities Operations, Data Management, Operational Risk, Ops Automation, Risk Management, Governance, FinTech Trends, Integration, Standards, AML/Fraud/Financial Crime, Regulation & Compliance, Regulatory Compliance, Regulatory Reporting, Industry News Tagged With: AI, AML, artificial intelligence, data management, Financial Crime, machine learning, Media Check, Mike Moreno, Thomson Reuters

Have You Called Your Regulator Lately?

April 19, 2018 by Eugene Grygo

Have You Called Your Regulator Lately?

A recurring message emerged from several of the sessions at our DerivOps conference in Chicago earlier this week. It’s simply this: financial services firms should take advantage of a new, more proactive dynamic between them and regulators. Basically, firms should feel free to tell regulators what they’re doing, especially with so many disruptive phenomena and… Read More >>

Filed Under: Securities Operations, Data Management, Industry News, Middle-Office, Operational Risk, Ops Automation, Settlement, General Interest, Governance, Diversity, Equity, and Inclusion (DEI), FinTech Trends, Back-Office, Blockchain/DLT, Integration, Standards, Opinion, Minding the Gap, AML/Fraud/Financial Crime, Regulation & Compliance, Regulatory Compliance, Regulatory Reporting Tagged With: AI, Bart Chilton, cryptocurrency, DerivOps North America, Eugene Grygo, FINRA, machine learning, Minding the Gap, robotic process automation (RPA), SEC

JPMorgan Opens Its Research to Amazon’s Alexa

April 4, 2018 by Eugene Grygo

JPMorgan Opens Its Research to Amazon’s Alexa

We are hearing a great deal about how artificial intelligence (AI), machine learning and robotics — applied individually or via combinations — are going to take over the world, eliminating securities industry jobs and maybe even entire professions. Yet I suspect (my Luddite impulses aside) that disruptive technologies may yield services that we hadn’t anticipated… Read More >>

Filed Under: Industry News, Middle-Office, Ops Automation, General Interest, Diversity, Equity, and Inclusion (DEI), FinTech Trends, Back-Office, Integration, Standards, Opinion, Minding the Gap, Social Media, Industry News Tagged With: Alexa, Amazon, artificial intelligence (AI), disruptive technologies, echo, Eugene Grygo, JPMorgan, machine learning, Minding the Gap, robotics, smart devices

Firms Face Cutting-Edge & Conventional IT Challenges in 2018

November 30, 2017 by Eugene Grygo

Firms Face Cutting-Edge & Conventional IT Challenges in 2018

(Editor’s note: This tumultuous year is winding down but there’s every reason to think that securities operations will continue to make leaps and bounds next year especially when it comes to cutting-edge IT. Erica Borghi (née Choinski), chair of the International Securities Association for Institutional Trade Communication (ISITC), and vice president of Fintech Risk at… Read More >>

Filed Under: Derivatives Operations, Collateral & Margin Management, Derivatives Processing, Securities Operations, Clearing, Corporate Actions, Data Management, Middle-Office, Operational Risk, Ops Automation, Reconciliation & Exceptions, Risk Management, Settlement, Governance, FinTech Trends, Back-Office, Blockchain/DLT, Standards, Opinion, Q&As, KYC Tagged With: AI, Brown Brothers Harriman & Co, collateral, collateral management, derivatives, DLT, Erica Borghi, ETD, ISITC, IT challenges, machine learning, OTC, reconciliation, Securities Industry and Financial Markets Association (SIFMA)

Hearsay Welds Predictive Technology to Social Media Compliance

March 29, 2017 by Eugene Grygo

The predictive capabilities of artificial intelligence (AI) and machine learning are playing major roles in the next generation version of the social media compliance system from Hearsay Systems, (formerly Hearsay Social). The updated Hearsay compliance platform uses predictive technology, embodied in the new Risk Meter feature, “to reduce false alerts and help compliance teams focus… Read More >>

Filed Under: Regulation & Compliance, Social Media Tagged With: artificial intelligence (AI), Hearsay Systems, machine learning, social media compliance

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