AI 혁명이
시작되었습니다.
인공지능은 데이터 기반 거래 성사 방식을 혁신할 것으로 예상됩니다. 광범위한 AI 투자 실적을 보유한 SS&C Intralinks는 금융 거래를 간소화하는 지능형 애플리케이션을 제공합니다.
더 스마트한 플랫폼
구매자, 판매자, 자문가의 협업이 간소화되어 거래 완료까지 걸리는 시간이 단축됩니다.
더 스마트한 실사
더 많은 정보를 가진 구매자가 가장 경쟁력 있는 입찰가를 제시합니다.
더 스마트한 거래 분석
더 정교한 분석을 통해 더 많은 거래를 체결하고 경쟁에서 앞설 수 있습니다.
Link FAQs
How does Intralinks Manage data privacy and security?
We curate several of our own models, and customer data never leaves our environment. Our strict, multi-layer customer data security practices are continually enforced.
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How long has Intralinks been developing AI solutions?
In 2018, we began investing in developing of our own proprietary AI infrastructure and solutions.
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What large language models (LLMs) does Intralinks use?
We manage several of our own LLMs, ensuring that customer data never leaves the virtual data room (VDR). Additionally, we rigorously enforce our strict security practices regarding data tenancy
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How does Intralinks train their AI models?
We use various generally accepted methods to enhance the models we select, including techniques like few-shot learning and reinforcement learning.
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Does Intralinks use my data to train, re-train or improve their AI models?
No, we never use any customer data to train, re-train or improve our models. Your data is always safe and protected within our ecosystem.
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Does Intralinks use ChatGPT or partner with an external party?
No. Having invested in developing organic AI solutions for over five years, we do not rely on or ship data to third-party providers.
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Our commitment to AI data privacy
How does Intralinks approach AI?
As pioneers of AI-powered virtual data rooms (VDRs), we began integrating AI into our dealmaking products several years ago. Our innovative solutions streamline complex processes, delivering unparalleled efficiency and ROI.
Is my data secure?
By adhering to robust privacy practices and the highest levels of certification, your data always remains within our secure servers and is never shared externally.
What steps ensure security?
We continuously fortify our platform against unauthorized access by leveraging highly secure and auditable data centers, along with a certified private-cloud infrastructure that supports our robust AI and machine-learning stack.
How are you evolving AI?
User feedback and ongoing research and development enable us to adapt systems to evolving customer needs, ensuring we deliver an unparalleled AI experience for our global community.
AI 기반 세상에서
거래 성사를 위한 5대 전략
AI 도입은 M&A 거래 성사자들 사이에서 핵심 경쟁력이 되고 있습니다. M&A에서 AI를 활용하는 방법을 알아보세요.
Intralinks 전문가들이 AI를 활용하여 거래 성사를 혁신하는 방법
Intralinks는 수년간 AI에 투자하고 정교한 대규모 언어 모델(LLM)을 개발하는 데 전념해 왔습니다. Intralinks는 최신 AI 혁신이 실제로 작동하는 모습을 경험해 보세요.
The new reality: AI and dealmaking
View Transcript
Q: Ronjohn, welcome back. Since we last spoke a year ago, what’s changed in the world of AI and dealmaking?
A: A lot has changed. Last year, we were mostly talking about AI in theoretical terms—people were exploring and trying to understand how to use it. But over the past year, we've seen a shift from exploration to true acceptance and implementation. Major financial institutions now have full teams dedicated to figuring out how to integrate AI into their workflows. The speed of adoption has been surprising. Unlike the gradual shift from physical documents to the cloud, AI has been adopted and implemented rapidly, with firms now realizing its value and putting it to work in real scenarios.
Q: Some people argue AI is a solution looking for a problem. What real dealmaking pain points is AI solving today?
A: That’s a fair critique for some technologies, but in the case of dealmaking, AI is solving significant problems—especially around document and information analysis. Deals take time because of the sheer volume of information that must be reviewed. AI started by helping summarize documents but has quickly evolved to analyzing information and generating insights that would otherwise take months to uncover. It now goes a step further by recommending decisions or highlighting areas to explore, saving time and improving the quality of decisions.
Q: For dealmakers who are still hesitant or overwhelmed, what are some tangible first steps they can take to adopt AI?
A: The first step isn’t to look for AI tools—it’s to look inward. Evaluate all internal processes and identify where inefficiencies lie. This means mapping out the entire dealmaking process from start to finish and pinpointing areas that consume the most time or resources. Once you understand your operational landscape, you can then start looking for AI solutions that target those specific gaps.
But don’t stop there—when testing AI tools, ensure they can be implemented at scale and within existing workflows. A tool that works in isolation but disrupts your system can create more problems than it solves. Integration and scalability are key to successful AI adoption.
Q: Any final thoughts on how you see AI continuing to evolve in dealmaking?
A: It’s an exciting journey. AI is already transforming how deals are processed by enhancing speed, accuracy, and decision-making. As more people adopt and experiment with these tools—and do so in a structured, strategic way—I believe we’ll uncover even more impactful use cases in the near future.
