This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Bankers traditionally spend significant amounts of time manually conducting duediligence and drafting deal-related documents, but now genAI is streamlining these tasks. Bain estimates that genAI-driven duediligence can condense a weeks worth of analysis into a single day.
On the AlphaSense platform, this reality rings true as we noticed an over 50% increase in documents mentioning “duediligence” over the past year. Once an arduous and time-consuming task, the dawn of artificial intelligence (AI) and generative AI (genAI) has transformed the way venture capital investors conduct duediligence.
Nothing typifies this more than the first step in any market and competitivelandscape analysis or duediligence effort—mapping the landscape. Dive deep into an earnings call and learn how a management team has self-reported over time to identify any changes in positioning.
In today’s ever-shifting market environment, having the right resources and tools to conduct market research is critical for asset managers. AI is transforming research tasks and duediligence that were once manual, repetitive, and time-consuming efforts. What is Asset Management Market Research?
Despite these headwinds, several notable deals managed to surface in 2023, providing optimism for a resurgence in activity moving into 2024. According to an expert call found in the AlphaSense platform, a former Horizon manager believes the company has strong potential for continued growth under Amgen’s control.
This research often includes assessing the financial performance, market potential, competitivelandscape, regulatory environment and growth potential of target healthcare companies, drugs, medical technologies, treatments and more.
The information found within is both differentiated from other content sources and proves highly valuable as part of any market research workflow, whether that be M&A monitoring, market landscaping, competitive intelligence, or benchmarking.
These intangible factors indicate that even the most exhaustive duediligence processes can still leave gaps in the M&A research process. Comprehensive DueDiligence Thorough duediligence on a target company is undeniably the cornerstone of successful M&A.
This staggering statistic is representative of a transformative shift in the asset management space away from archaic research methods. Generative AI in venture capital streamlines workflows, reduces research and duediligence blind spots, and surfaces qualitative and quantitative insights to make data-driven decisions faster.
Similarly, financial managers must be wary of how companies in their portfolios report on ESG topics and conduct duediligence on potential opportunities by researching the company’s DEI practices before making investments.
how companies manage their data) as well as external changes (i.e., Additionally, by utilizing technology to collect and analyze real-time data on customer behavior, supply chain management, and store operations, companies can identify areas of improvement and avoid certain issues or failures.
2023 so far has revealed ideal conditions for dealmaking due to valuation resets, lessened competition for deals, and new assets coming to market. As a result, many banks, PE firms, wealth and investment managers, and fintechs have halted M&A activity until interest rates stabilize and regulatory activity subsides.
To stay competitive in the current economic climate , companies need to conduct comprehensive and efficient market research. Likewise, executive leadership must have a thorough understanding of the competitivelandscape they are operating in while staying keenly aware of evolving consumer trends.
Alternative data sets are information that is published externally of a company and is used by hedge fund managers, institutional investors, and corporations to access unique insights on the investment process. And companies are definitely digging into this non-traditional data set to better their business decisions and operations.
trillion market evaluation by 2032 due to the ever-increasing number of companies integrating this technology. However, 2024 is expected to bring much more buzz and interest to spatial computing, particularly from investors, consumers, and ambitious companies wanting to enter the competitivelandscape early.
For tech companies wanting to stay competitive in the current economic climate, market research is imperative. It enables companies to understand the market and competitivelandscape, stay informed on competitors’ moves, and track rapidly evolving consumer preferences. What is the sentiment toward your own company?
Automating Workflows Within the biopharma space, AI-driven automation streamlines lab processes, drastically reducing manual tasks in data analysis and management. The analytical prowess of AI systems in forecasting outcomes facilitates better decision-making concerning trial safety, effectiveness, and operational management.
Users can take advantage of it to make better-informed investment decisions and improve risk management strategies. Enterprise Intelligence supports the upload and management of tens of millions of documents. AlphaSense also offers content processing and content management.
We organize all of the trending information in your field so you don't have to. Join 11,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content