Investment operations and accounting solutions that leverage smart tools, such as Artificial Intelligence, Machine Learning and Natural Language Processing, offer levels of efficiency that simply cannot be attained by traditional technologies.
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Are you interested in learning more about new technologies like artificial intelligence and machine learning? Join us for one of the following sessions to explore how new innovations can propel your business forward:
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Process automation is critical to any organization's growth in today's rapidly evolving world of business. To achieve their goals, many companies are turning to emerging technology for help, most notably artificial intelligence (AI), machine learning and robotics.
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In a recent Waters Technology article, the SS&C Singularity team weighed in on the importance for asset managers to focus on new, advanced technologies to deliver top-line growth.
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SS&C recently participated as a sponsor in FundForum International, a conference attended by 1,500 senior professionals from the fund management industry. Scott Kurland, Global Head of Product & Marketing for SS&C Singularity spoke on the panel “(Even More) Disruption in the back office: Latest market trends in emerging and developing tech).
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Eight in 10 asset managers use lead scoring to try to identify the advisors who are seriously considering their firm’s products. But much of our industry uses traditional, rules-based lead scoring—which is based on opinions and assumptions about which interactions indicate that an advisor is most likely to buy in the next month. This “manual” methodology is not scientific—or reliable. It's too simplistic for the complex decision journeys that customers take in making investments.
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Firms want to win the data game. Fast. All too often we see firms sprint ahead to invest in a data analytics platform without first having a holistic data strategy in place.
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Innovative disrupters, powerful economic forces and irreversible societal trends are shaking up asset and wealth management in ways we haven’t seen before.
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